A Year of COVID-19

Paul Whittaker • 15 March 2021

From SARS-CoV-2 to COVID-19 Pathogenesis, Vaccines and Therapeutics

On 11th March 2020, the World Health Organisation declared pandemic  status for  COVID-19, an infectious disease caused by the new coronavirus SARS-CoV-2. This virus was first isolated from airway epithelial cells of patients presenting with pneumonia of unknown cause in Wuhan, China, in December 2019. Since then, there has been a concerted global effort to characterise the virus and understand the pathophysiology of COVID-19, develop vaccines and search for drug therapies. As of 10th March 2021, 111,300 COVID-19 or SARS- CoV-2 citations can be found in  PubMed. That number is growing daily.

A year on, the aim of this article is to give an overview of what has been learned about the SARS-CoV-2 virus (Fig. 1.) and the symptomatology and pathogenesis of COVID-19 based on a review of published literature, particularly how it relates to disease severity. Specific details may change as future research expands and refines current knowledge, but hopefully this article will remain substantially accurate for the most part.

Fig. 1. SARS-CoV-2 virion particle. The coronavirus virion consists of the following structural proteins: spike glycoprotein (S), envelope protein (E), membrane glycoprotein (M), nucleocapsid protein (N) and haemagglutinin-esterase (HE). The positive-sense, single-stranded RNA genome (+ssRNA) is encapsidated by N, whereas M and E ensure its incorporation into the viral particle during the assembly process. S trimers protrude from the host-derived viral envelope and provide specificity for the cellular entry receptors ACE2 and TMPRSS2 (Fig. 2.).

TRANSMISSION AND INFECTION

Transmission and Detection

SARS-CoV-2 is spread predominantly through aerosols and airborne droplets produced by infected individuals coughing and sneezing. COVID-19 symptoms appear after an incubation period of 5 to 6 days, with peak symptoms occurring 2 to 5 days later. Virus can be detected during the incubation period by analysis of nasal or throat swab samples collected from infected individuals. A wide range of detection methods have now been developed to detect the presence of virus, with RT-PCR being the most widely used. Shedding of virus particles by infected individuals, particularly superspreaders, before symptom onset, contributes to the difficulty of controlling virus spread by public health interventions.

Infection

Infection leading to COVID-19 occurs when SARS-CoV-2 spike protein attaches to ACE2 (Fig. 2.), a cell surface protease expressed at variable levels on the surface of epithelial cells in the mouth, nose, and upper and lower airways of the lungs. After attachment to ACE2, the transmembrane protease TMPRSS2 cleaves and primes the bound spike protein to facilitate cell entry by endocytosis. Once inside the cell, the virus hijacks the host cellular machinery to replicate itself and assemble more virions. Virus particles are unpackaged and genes encoded by the viral RNA genome are translated into viral proteins by host ribosomes in the endoplasmic reticulum. Viral progeny are then assembled from the synthesised structural proteins and replicated viral RNA genome in the Golgi complex before being released from the host cell by exocytosis. One infected host cell can create up to a hundred new virions, accelerating the spread of the virus via infection of other cells in the respiratory tract.

Fig. 2. SARS-CoV-2 infection cycle. Virions bind to ACE2 on the apical surface of epithelial cells in the respiratory tract via the virus S glycoprotein (A). Cleavage and priming of the bound S protein by TMPRSS2 enables endocytosis of virion particles (B). After cell entry, uncoating of the virions releases the viral genomic RNA (C) which is then translated on the ribosomes of the endoplasmic reticulum (D) to form the proteins of the viral replication and transcription complex, as well as the viral structural proteins. Translated structural proteins transit through the Golgi complex (E), where interaction with N-encapsidated, newly produced genomic RNA results in the formation of mature virions (F) ready for secretion from infected cells by exocytosis (G).

COVID-19 and the Respiratory Tract

The respiratory tract is the first line of defence against inhaled virus particles. SARS-CoV-2 shows a gradient of infectivity from the upper to the lower airways, matching the distribution of ACE2 expression levels. Cytokines released by infected airway epithelial cells and resident, plus incoming, immune cells mediate the cell-cell communication required for a tightly regulated immune response. In COVID-19, the host immune response is a critical component of disease progression and severity. Dysregulation of this response is a key feature in individuals with severe COVID-19.

COVID-19 SYMPTOMATOLOGY AND SEVERITY

The symptoms (Fig. 3.) displayed by people infected with SARS-CoV-2 vary in type, number and severity, as well as duration (Fig. 4.). These range from asymptomatic carriage, to mild/moderate disease, to severe disease, characterised by atypical pneumonia, respiratory failure and acute respiratory distress syndrome (ARDS). The most severely affected patients tend to be older men, people from ethnic minorities and people with co-morbidities, such as obesitydiabetes and hypertension. In addition, factors such as geneticsviral load, the level of immune response and degree of lung damage will also play a part, with a predominance of different factors in different patients causing different individual clinical outcomes.

Fig. 3. COVID-19 symptoms and complications. Although fever, persistent cough and loss of taste and/or smell are the most common COVID-19 symptoms reported, some patients display a number of different symptoms. Difficulty breathing is a predominant feature of the majority of COVID-19 patients who are hospitalised. Common co-morbidities are heart disease, high blood pressure and diabetes. Although the lung is the primary site of COVID-19 pathology, complications affecting a range of extra-pulmonary organs are often seen in patients with severe disease, particularly those with co-morbidities causing endothelial cell dysfunction. Even in patients with mild/moderate disease, some patients experience long COVID, where symptoms can persist for 12 weeks or longer.

Asymptomatic COVID-19

It has been estimated that 17% of people infected with SARS-CoV-2 never develop any symptoms of COVID-19. These are not pre-symptomatic individuals who have no initial symptoms, but then go on to develop mild to moderate symptoms. These are individuals who never develop any symptoms at any time. It is not known which demographic, clinical, or immunological characteristics are responsible for the lack ofsymptomatology in these people compared with those who develop symptoms. Neither is it known the degree to which asymptomatic individuals contribute to virus transmission.

Fig. 4. COVID-19 symptomatology time course and outcomes. COVID-19 symptoms become apparent around 5 days after initial virus exposure. Symptoms peak, on average, 5 days later and, for the majority (>60%) of people, COVID-19 symptoms are mild to moderate in severity. Although symptoms subside for 4 in 5 of these mild/moderate cases after another 5 days, 1 in 5 people can experience persistent symptoms for 12 weeks or more (long COVID). Twenty percent of infected individuals require hospitalisation with breathing difficulties caused by viral pneumonia. Of these hospitalised patients, 1 in 5 develop ARDS and/or multi-organ failure requiring intensive care. Up to 40% of critical care patients can die. It has been estimated that around 17% of infected people never develop any symptoms of COVID-19 at any time.

Mild to Moderate COVID-19

The majority (> 60%) of infected individuals develop mild to moderate disease symptoms that generally resolve spontaneously after 6-10 days (Fig. 4.). However, around one in five of these individuals can have symptoms that persist from 4 weeks to over 12 weeks. Whether this post-COVID syndrome, generally known as long COVID, is a result of: long-term persistence of the virus; long term sequelae resulting from disruption of individuals’ immune and inflammatory responses; or due to something else entirely, is currently unknown.

Severe COVID-19

Around 20% of infected individuals require hospitalisation (Fig. 4.). Viral pneumonia, as evidenced by abnormal temporal lung changes on chest radiography, is the most common reason for admission, with patients displaying hypoxia due to a drop in blood oxygen levels. This leads to the majority of admitted patients suffering respiratory failure and requiring breathing support, which varies depending on individual patient need. Eighty percent of hospitalised patients are cared for in general medical wards.

Critical COVID-19

Twenty percent of hospitalised patients become critically ill and require invasive lung ventilation and support in high dependency and intensive care units (Fig. 4.). Sixty to eighty percent of these patients have ARDS and a hyper-inflammatory response. Unfortunately, up to 40% of critically ill COVID-19 patients die, although the death rate does vary with age. Severe COVID-19 can result in permanent damage and scarring to the lungs in survivors.

Multi-Organ COVID-19

Although the lungs are the primary site of COVID-19 pathology, COVID-19 is a multi-system disease exhibiting a range of complications resulting from damage to a number of different organ systems, including the heartbrainkidneyliver and vasculature (Fig. 3.). Elevations in levels of cardiac injury biomarkers are observed in 50% of patients with severe COVID-19, with a significant proportion of patients developing venous and arterial complications. Individuals with pre-existing endothelial cell dysfunction have an increased risk of damage caused by SARS-CoV-2 infection, which also increases hypercoagulability and results in a high incidence of venous thromboembolism and pulmonary embolism. Less commonly, SARS-CoV-2 infection can cause heart muscle inflammation and heart rhythm disturbances, such as atrial fibrillation. In cases of multi-organ dysfunction, specialist clinical support to reduce multi-organ failure and mortality is required.

COVID-19 PATHOGENESIS

The upper airways

The nasal cavity is the first site of infection (Fig. 5A.). Here, SARS-CoV-2 infects ciliated and secretory cells which express ACE2 and TMPRSS2. The viral load in the nasopharynx and oropharynx appears to be similar between infected people who stay asymptomatic and those who become symptomatic. There is little data at the current time relating to the extent to which SARS-CoV-2 spreads further in to the airways of asymptomatic people, but what data there is suggests the virus can spread deeper into the airways in some of these individuals and it is the host response which is a key determinant of outcome, including pre-existing immunity.

Fig. 5. The human respiratory tract and COVID-19. Inhaled virus particles bind to ACE2 receptors on the surface of epithelial cells in the nasopharynx and oropharynx (A). Disease severity is dependent on how deep SARS-CoV-2 virions progress into the airways. Restriction of virus infection to the upper and conducting airways (B) results in mild/moderate symptoms seen in >60% of infected individuals. Progression of the virus to the alveoli (C) affects exchange of oxygen and carbon dioxide between the lungs and the blood, which leads to the breathing difficulties seen in the 20% of patients hospitalised with severe COVID-19. In the 20% of hospitalised patients who become critically ill and require intensive care, damage to the endothelial cells of the capillary net encasing each alveolus leads to acute respiratory distress syndrome (ARDS) and/or multi-organ complications resulting from systemic effects of the virus.

Image sources: A. B. C.

Virus spreads from the nasal cavity to infect ciliated cells and non-ciliated mucus secreting (goblet) cells lining the bronchi (Fig. 5B.) as the virus progresses deeper into the lungs. During this phase, a vigorous innate immune response to clear the virus is triggered and the infected individual becomes symptomatic and feels unwell. Infection of lung epithelial cells triggers cell death and inflammatory responses. Keratin 5-expressing basal cells, which are the progenitor cells for the airway epithelium and are not infected by SARS-CoV-2, are induced to differentiate directly into ciliated cells so damaged epithelium can be repaired and recover from the infection. If the capacity for basal cell differentiation is impaired (e.g. due to excessive interferon lambda production), lung epithelial cell regeneration does not take place and airway damage increases, as happens in the lungs of patients with severe COVID-19.

The Lower Airways

Infection of club (Clara) cells located in the respiratory bronchioles in the lower airways facilitates spread of SARS-CoV-2 into the alveoli (Fig. 5C.), where oxygen and carbon dioxide exchange between the lungs and the blood is impaired in severe COVID-19.

Two types of epithelial cells line the alveoli (Fig. 6A.). Type I pneumocytes are large flat cells that are directly adjacent to the endothelial cells of the capillary network that closely encircles each alveolus (Fig. 5C.). Type I pneumocytes are critical for rapid exchange of oxygen and carbon dioxide between the blood and alveolar space. These cells are easily damaged in many forms of lung injury. Type II pneumocytes make and secrete pulmonary surfactant, which is required for effective gas exchange. Type II pneumocytes are also the progenitors of type I pneumocytes and are therefore important in the repair of alveolar damage. Both type I and type II pneumocytes help keep the alveoli free of fluid by contributing to active resorption of alveolar fluid and trans-epithelial ion movement. Type I and type II pneumocytes both express ACE 2.

Fig.6. Severe COVID-19 lower respiratory tract pathophysiology. The alveolus (A) is the lung structure where gaseous exchange with the blood takes place. Oxygen in inhaled air and carbon dioxide in the blood diffuse out of, and in to, the alveolar space, respectively, via type I pneumocytes and the endothelial cells of the surrounding pulmonary capillary network. Surfactant secreted by type II pneumocytes aids this process by reducing surface tension at the air-liquid interface in the alveolus. Resident phagocytic alveolar macrophages provide a first line of defence against inhaled pathogens and noxious particles that make it down through the airways into the alveoli. In a healthy, non-diseased lung type I and type II pneumocytes keep the alveoli free of fluid. In severe COVID-19 (B), gaseous exchange  between the alveoli and blood is severely reduced. Damage to type I and type II cells by SARS-CoV-2 infection results in the alveolar space becoming filled with liquid containing dead cells, cell debris, proteins, invading immune cells, virus particles etc. In critical disease, extensive damage to the alveoli and endothelial cells of the surrounding capillaries, plus a hyperinflammatory response leads to ARDS and respiratory failure requiring prompt intensive care. In some patients this leads to death. Fibrotic changes resulting from disruption of the normal alveolar epithelial repair process lead to permanent structural changes to the lung micro-architecture that can have future health effects in some survivors depending on the scale and severity of these changes.

In addition to type I and II pneumocytes, there is a third cell type in the alveoli - alveolar macrophages (Fig. 6A.). These phagocytes are the first line of defence against infectious agents and noxious particles present in the environment that make it down through the airways to the alveoli. Like type I and type II pneumocytes, alveolar macrophages express ACE2.

Alveolar Inflammation

Type II pneumocytes express the highest levels of ACE2 and TMPRSS2 proteins and are believed to be the primary targets for SARS-CoV-2 infection in the alveoli. Type I pneumocytes and alveolar macrophages are also infected by SARS CoV-2. As the virus propagates in infected cells, released viral particles infect other type II pneumocytes and adjacent type I pneumocytes allowing spread of the virus to adjacent alveoli. Infected type II pneumocytes and alveolar macrophages secrete cytokines to recruit immune cells from the blood into the alveolar space to destroy virus-infected cells and extracellular virus. Uninfected neighbouring cells amplify this response by responding to, and secreting, additional cytokines. The innate immune response provoked in the pulmonary parenchyma is characterized by the recruitment of bone-marrow-derived monocytes to the alveolar space and their differentiation into alveolar macrophages.

The immunological hyper-response associated with COVID-19 ARDS appears to be a key driver of severity and death in patients. Although this hyper-inflammation is often referred to as a “cytokine storm” in a large number of publications, some investigators have questioned the relevance of this term in relation to COVID-19, given the cytokine levels actually measured in patients. Alveolar macrophages have a key role in initiating and propagating this hyper-inflammatory phenotype. Infected alveolar macrophages and activated T-cells recruited from the blood form a positive feedback loop that drives persistent alveolar inflammation. Neutrophils also appear to be important in the immune response and amplifying the damage seen in the lungs of patients with COVID-19 ARDS.

Alveolar Damage

Loss of type I and type II pneumocytes due to infection and subsequent cell death results in reduced gaseous exchange in diseased portions of the lungs (Fig. 6B.). Death of pneumocytes also results in focal alveolar flooding, causing the characteristic radiographic images seen in severe COVID-19. This is a result of a combination of factors including: reduced active resorption of alveolar fluid; reduced active transport of sodium from the alveolar space into the surrounding interstitium; damage to the endothelium of adjacent capillaries causing leakage of fibrinogen and other plasma proteins into the alveolar space; and formation of fibrin exudates. The flooding impairs the ability of pulmonary surfactant produced by type II pneumocytes to adsorb to the surface of the alveoli, thus increasing surface tension, and reducing oxygen exchange. As alveoli become blocked and collapse, appositional atelectasis occurs leading to loss of secondary lobules.

In most forms of lung injury, type II pneumocytes proliferate and differentiate into type I pneumocytes leading to restoration of the alveolar epithelium. However, the diffuse alveolar damage (DAD) seen in severe COVID-19 means that this repair process is disrupted because of depletion of type II cells. Activation of alternative pathways for epithelial repair in the most severe disease is likely to be the cause of the scarring and residual disease seen in some COVID-19 survivors. As type II pneumocytes inhibit fibroblast proliferation and the expression of extracellular matrix genes in fibroblasts, loss of these cells is likely to trigger fibrosis as fibroblasts migrate into the alveolar lumen. Imbalance in the renin-angiotensin system in COVID-19 may also favour lung fibrosis. The landscape and timescale of these changes will vary as new areas of the lung get infected and the innate and acquired immune systems respond.

Perivascular Damage

A key part of COVID-19 disease progression is damage to the pulmonary endothelial cells that are adjacent to the infected and damaged alveoli (Fig. 7). Analysis of lungs from patients who died of COVID-19 has highlighted several perivascular features, including: severe endothelial injury and disrupted endothelial cell membranes associated with intracellular SARS-CoV-2 virus; widespread vascular thrombosis with microangiopathy and occlusion of alveolar capillaries; and significant new vessel growth through intussusceptive angiogenesis. Changes in the pulmonary vasculature on chest computed tomography (CT) appear to be predictive of adverse clinical outcomes in COVID-19 patients.

Fig. 7. Endothelial damage and dysfunction in COVID-19 lung pathology and extra-pulmonary organ damage. Endothelial dysfunction is associated with the development of severe COVID-19 and life-threatening extra-pulmonary complications. Endothelial cells can be damaged and activated by: direct viral infection; by pathogen-associated molecular patterns (PAMPs) derived from SARS-CoV-2; damage-associated molecular patterns (DAMPs) from dead or dying endothelial and immune cells; or pro-inflammatory cytokines (e.g. interleukin 6/IL-6 and tumour necrosis factor alpha/TNFa). Endothelial dysfunction and injury lead to: increased vascular permeability; increased endothelial inflammatory response; reduced levels of nitric oxide, causing vasoconstriction; and impaired angiogenesis. Activated endothelial cells release cytokines that attract immune cells that bind to adhesion molecules expressed on the surface of the endothelial cells and also produce cytokines. This stimulation of the immune response leads to hyper-inflammation, which leads to further endothelial damage. Release of clotting factors (Von Willebrand Factorthrombinfibrin and tissue factor), platelet activation and NETosis of neutrophils, drives thrombus formation and increases in the levels of D-dimer. Neutrophils also amplify  endothelial damage by releasing a number of proteolytic enzymes and reactive oxidant species that damage cells.

Pulmonary endothelial cells (ECs) have a key role in optimising gas exchange, controlling barrier integrity and function, and regulating pulmonary vascular tone in health and disease. They are involved in most lung diseases either as a direct participant, or as a victim of collateral damage. Importantly, endothelial cells express ACE2, so SARS-CoV-2 may alter vascular homeostasis by directly infecting endothelial cells. Analysis of patient tissue samples and organoids show that SARS-CoV-2 can infect endothelial cells, even though cultured primary endothelial cells are resistant to infection.

Alternatively, instead of direct infection by SARS-CoV-2, vascular damage in COVID-19 may be driven by hypoxia, hyper-inflammation and immune dysregulation. Platelet-neutrophil communication and activation of macrophages can induce a range of pro-inflammatory effects, including: cytokine release; the formation of neutrophil extracellular traps (NETs); increasing fibrin generation; and inducing microthrombus formation in the microvasculature. NETs can damage the endothelium and activate both extrinsic and intrinsic coagulation pathways and appear to have a significant role in COVID-19 disease severity.

EXTRAPULMONARY ORGAN DAMAGE

As noted earlier, in addition to lung pathology, SARS-CoV-2 infection can result in a number of extrapulmonary complications involving the haematological, cardiovascular, renal, gastrointestinal, hepatobiliary, endocrinologic, neurologic, opthalmologic and dermatologic systems (Fig. 3.). Potential mechanisms underlying the pathophysiology of this multi-organ injury include: direct viral infection of organs; endothelial cell damage and thromboinflammation; immune response dysregulation; and dysregulation of the renin-angiotensin-aldosterone system (RAAS). The role that each of these mechanisms plays in extra-pulmonary organ damage in COVID-19 is unclear at the present time. However, the pathophysiology underlying the systemic effects of COVID-19 is likely to be multi-factorial, with different mechanisms predominating in different patients.

Direct Infection

The presence of ACE2 and TMPRSS2 in a range of different extra-pulmonary organs makes direct infection a plausible mechanism for multi-organ injury in COVID-19. Evidence for direct viral infection of the kidney and other organs in patients with COVID-19 and the detection of viral RNA in blood and urine samples from patients supports the idea of systemic spread of the virus. However, the mechanism(s) of extrapulmonary virus spread have yet to be elucidated.

Endothelial Cell Dysfunction

Endothelial cells have a number of physiological functions and are involved in a range of different diseases. Because they line the inside surface of blood vessels, they traverse a wide range of organ systems. Endothelial damage and endothelialitis are found in the vascular beds of a number of organs in patients with COVID-19 and this can trigger thromboinflammation leading to microthrombi deposition and microvascular dysfunction. Recent work suggests that inflammation and vascular damage may be the primary causes of neurological symptoms in COVID-19 patients. As a result, COVID-19 is increasingly being seen as an endothelial disease, with endothelial cell dysfunction (Fig. 7.) being the common link between many of the different complications seen in COVID-19 patients, from multi-organ damage, to blood clots and stroke. Moreover, pre-existing endothelial dysfunction is the common denominator among co-morbidities such as hypertension, diabetes, obesity, cardiovascular disease and ageing in individuals with an increased risk of severe COVID-19. Published data suggests that, at least in some COVID-19 patients, acute multi-organ thromboembolism may precede, or present disproportionately, over respiratory involvement. Organ dysfunction is also associated with excessive NET formation and vascular damage.

Immune Dysregulation

As mentioned previously, the host immune response is important in governing individual patient outcomes in COVID-19, whether that is a reduced response, or an over-enthusiastic response by the innate immune system. Markers of inflammation are predictive of critical illness and mortality in COVID-19 patients, supporting the idea that hyperinflammation is a driver of multi-organ failure in COVID-19. The positive effects of dexamethasone and IL6 receptor antagonist therapy also indicate the importance of the immune response in disease progression and severe pathology.

Renin-Angiotensin-Aldosterone System (RAAS) Dysfunction

ACE2 is a key regulator of RAAS in cardiovascular and pulmonary homeostasis. Vascular damage-induced by SARS-CoV-2, combined with pre-existing endothelial dysfunction caused by hypertension, diabetes, obesity, or age appears to be a contributory factor in COVID-19 related morbidity and mortality, including the vasculopathy and coagulopathy seen in COVID-19. Therefore, dysregulation of the RAAS offers another plausible mechanism for SARS-CoV-2 tissue damage of extra-pulmonary organs.

COVID-19 VACCINES AND THERAPEUTICS

As of  12th March 2021, there have been 118,742,439 COVID-19 cases worldwide, resulting in 2,632,955 deaths. In the UK there have been 4,241,677 cases and 125,168 deaths, although the number of cases and deaths has declined markedly from the late January 2021 peak, as a result of lockdown measures and an efficient vaccination programme.

Twelve vaccines have been approved at the time of writing. Thanks to the rapid availability of the SARS-CoV-2 genome sequence and advances in vaccine technology, the speed of COVID-19 vaccine development has been remarkable, taking less than a year from genome sequence determination to the UK approving the Pfizer-BioNtech vaccine, quickly followed by approval of the AZ-Oxford vaccine. This was a timescale previously unimaginable using traditional vaccine development methodology.

As of 10th March 2021, 23,053,716 people, representing 34.59% of the UK population have received at least one dose of the Pfizer-BioNtech or AZ-Oxford vaccine. A smaller number, 1,351,515 people, representing 2.03% of the UK population, have been fully vaccinated after receiving two doses. The number continues to grow daily.

The roll out of SARS-CoV-2 vaccines is already having a major impact on the incidence of severe COVID-19. The emergence of new SARS-CoV-2 variants that have increased rates of transmission and/or may reduce or abolish the effectiveness of the current vaccines is a concern. However, global surveillance of virus variants by sequencing, combined with the ability to quickly develop new vaccines, will reduce this threat. As the risk of new variants is lowered if the rate of new infections (and viral replication) is reduced, equitable access to vaccines for the world’s population, particularly poorer countries, will also be very important in reducing the number of new variants in the medium to long-term.

Can SARS-CoV-2 be eradicated, or will we just have to learn to live with it? I suspect the latter is the more achievable scenario, at least in the medium term, given: the level of vaccine hesitancy that exists; the proportion of people in the world who have still to be vaccinated; and the continuing emergence of virus variants.

The global research effort focussed on SARS-CoV-2 and COVID-19 has been unprecedented. In the time it has taken to write this article, over 8,000 new papers have been added to the 103,276 papers that existed in PubMed when I started writing! However, in contrast to the situation with vaccines, only modest progress has been made with regard to the development of anti-viral drugs to prevent SARS-CoV-2 infections, and other drugs to stop COVID-19 disease from worsening. This lack of success is not due to lack of effort, just a reflection of the scale of the problem that COVID-19 has presented to the scientific and medical worlds. In truth, drug discovery has still to reach the level of speed and refinement that vaccine technology currently has. So far, remdesivir is the only anti-viral drug approved for treating Covid-19, but its use is limited to clinical settings and, at best, it appears to be only modestly effective. Emergency use applications (EUAs) have also been issued by the US Federal Drugs Administration (FDA) for several unapproved monoclonal antibody therapies to treat mild to moderate COVID-19 in children and adults. In terms of immunomodulators for severe COVID-19 disease, dexamethasone and tocilizumab, particularly when used together, have been shown to reduce COVID-19 mortality.

How can the world be better prepared for similar threats in the future? Preparation for the next crisis occurs needs to begin now. Pre-emptive development of effective and readily available drugs that can be quickly tested in new diseases as they arise is required, mirroring the pre-emptive strategies that allowed the rapid development of SARS-CoV-2 vaccines. The last point notwithstanding, there will always be a lag between the outbreak of a new pandemic and the delivery of an effective vaccine, so antiviral drugs will be the primary tools that can be used to help keep populations safe during this period. There will also be a need for immunomodulatory drugs to treat severe disease in susceptible individuals and reduce mortality. In the main, I believe this can be most effectively approached using drug re-purposing strategies, rather than starting drug discovery programmes from scratch. This is an opportunity for pharmaceutical companies to work together with government agencies and academia in public-private consortia to pool resources and expertise to form a centralised library of drug compounds that can be rapidly tested in clinical trials. Furthermore, investment in identifying future primary threats and making a societal commitment to pre-emptive preparation is also needed. This will require a high degree of coordination and the involvement of scientists from fundamental researchers, to drug development experts. Given the remarkable response to the current pandemic, this is achievable. Ideally, the work needs to be undertaken globally, to spread the cost and maximise expertise and resources, as well as ensure that important research on other diseases is not disadvantaged.

What about the use of viral challenge studies in the development of new anti-viral drugs and vaccines? Approval of the world’s first challenge study in the UK is a key step towards this goal. If such studies can be conducted safely on healthy volunteers they will be important in facilitating the development of new vaccines and therapeutics. However, they will not be of value in the development of drugs to target severe disease as it would clearly be unethical to deliberately trigger life threatening symptoms in volunteers. For this, standard clinical trials using patients hospitalised with severe disease will still be required, underlining the importance of having libraries of immunomodulatory drugs ready for rapid testing in such studies when a pandemic arises.

CONCLUSION

Although the scientific and medical response to the COVID-19 pandemic has been exceptional, and the progress made in understanding the disease and developing vaccines has been astounding, the social and economic cost underlines the importance of learning from the current pandemic and being better prepared for the next one. Clearly, it is not a question of if, but when, it will occur again and how well the world will be prepared for it next time…

by Paul Whittaker 18 April 2021
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by Paul Whittaker 25 March 2021
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by Paul Whittaker 4 May 2020
A collection of links to information sources relevant to the coronavirus pandemic. From disease and healthcare information, to drug therapies and diagnostics, as well as epidemiology and clinical trials in progress. Association of British Pharmaceutical Industries Up-to-date information on what the pharmaceutical industry is doing to tackle the outbreak Diagnostics webinar slides British Broadcasting Corporation BBC Horizon programme investigating the scientific facts and figures behind the Coronavirus pandemic as at 9th April 2020 British Medical Association COVID-19 Guidance Official guidance for doctors British Medical Journal Coronavirus Hub Support for health professionals and researchers with practical guidance, latest news, comment and research British Society for Antimicrobial Chemotherapy Information and the latest guidance from health bodies, academic publications and other professional societies British Thoracic Society COVID-19 Information Information, guidance and resources to support the respiratory community Centers for Disease Control and Prevention Coronavirus disease portal - up to date genomics and precision health information on coronavirus US government public health information Cochrane Library COVID-19 Information Cochrane Reviews and related content from the Cochrane Library relating to the COVID-19 pandemic COVID-19 Diagnostics Resources Diagnostics resource centre is designed to support policymakers and healthcare providers with up-to-date information on tests and testing for SARS-CoV-2 Resource page to facilitate information sharing and provide technical expertise to teams developing COVID-19 tests Drug Target Review Latest news and updates relating to COVID-19 drug discovery efforts European Respiratory Society COVID-19 Resource Centre European Respiratory Society (ERS) and European Lung Foundation (ELF) resources on SARS-CoV-2 and COVID-19 as it is published International Severe Acute respiratory and Emerging Infection Consortium (ISARIC) COVID-19 Resources COVID-19 clinical research resources Medical Research Centre for Epidemiological Analysis and Modelling of Infectious Diseases All output from the Imperial College COVID-19 Response Team, including publicly published online reports, planning tools, scientific resources, publications and video updates Public Health England PHE COVID-19 dashboard Royal College of Pathologists Latest information available on COVID-19 relevant to the practice of pathology Royal Society of Biology How the RSB is responding to the COVID-19 pandemic, by area of activity Bulletin covering the latest news and science behind the outbreak and the response Royal Society of Medicine Roundup of official guidance and information, tools and helpful resources on COVID-19 for healthcare professionals Resources on COVID-19 national trials University of Oxford Centre for Evidence-Based Medicine Rapid reviews of primary care questions relating to the coronavirus pandemic, updated regularly US National Institutes of Health Latest research information from NIH Wiley Online Library Articles related to the current COVID-19 outbreak, as well as a collection of journal articles and book chapters on coronavirus research freely available to the global scientific community
by Paul Whittaker 1 May 2020
Image Source “ By the help of microscopes, there is nothing so small, as to escape our inquiry; hence there is a new visible world discovered to the understanding. ” Robert Hooke , 1635 - 1703. The history of microscopes is one of ever higher magnification, enabling scientists to pry deeper and deeper into the minute details of nature invisible to the naked eye. Now microscopy is playing a key role in visualising the molecular architecture of proteins and macromolecular complexes; information which is critical to understanding biomolecular function and discovering new drugs. X-ray crystallography has been the most widely used technique for obtaining atomic level detail, but it does require a large amount of sample and the generation of crystals, which can be problematic. Nuclear magnetic resonance (NMR) does not require crystallization, but it does require large amounts of sample and isotopic enrichment and the technique has generally been restricted to small proteins, single protein domains, or small RNAs. Single-particle cryo-electron microscopy (cryo-EM) is a structural biology technique, first developed back in the 1970s, which does not require crystallization, or large amounts of sample. Using a flash-freezing process that fixes proteins in thin films of ice, cryo-EM avoids the problems of crystallization. Then, thousands of 2-D images of proteins caught in random orientations are stitched together to reveal the 3D structure. Advances in detector technology and software algorithms now mean that cryo-EM can be used for the determination of biomolecular structures at near-atomic resolution , including proteins and macromolecular assemblies “intractable” to X-ray crystallography and NMR. In an application relevant to the current COVID-19 pandemic, cryo-EM has recently been used to study the functional evolution of coronavirus spike proteins and provide a structural basis for the inhibition of coronavirus replication by Remdesivir . Cryo-EM is now being used for a range of applications from studying eukaryotic DNA replication, to structure-based drug discovery (SBDD), as showcased during a recent ELRIG webinar on this topic, held on 2nd April 2020 entitled “From Blob-ology to Near Atomic Resolution Structures: Current Uses of Cryo-EM within Biological Research”. While the number of protein structures being determined by cryo-EM is booming , the cost of a microscope (up to £5/$7 million), the need for custom laboratory facilities and the associated operational costs, means that many structural biologists have no access to this technology. Jason Van-Rooyen explained how The Electron Bio-Imaging Centre ( eBIC ) at Diamond in Oxfordshire provides state-of-the-art cryo-EM equipment and expertise, as well as molecular and cellular cryo-electron tomography for use by academic and industrial scientific groups . Use of the eBIC cryo-EM facility has resulted in 113 publications at the time of writing this article, ranging from the determination of cryo-EM structures of the Escherichia coli RecBCD complex to the cryo–EM structure of RagA/RagC in complex with mTORC1 . Planned, are the provision of a Dual Beam Scanning Electron Microscope (SEM) and Focused Ion Beam (FIB) system for the generation of thin lamellae of cellular samples for cryo-electron tomography, as well as electron crystallography for structure determination. The eukaryotic genome must be accurately duplicated in an a timely manner during the S (synthesis) phase of each cell division cycle . As the genomic DNA in eukaryotic cells is packaged into nucleosome arrays , the nucleosomes need to be dismantled ahead of the advancing DNA replication fork and reassembled again once the DNA has been duplicated. A key component in this highly regulated biological process is the replisome , a large, multiprotein complex, comprising an array of DNA unwinding ( helicase ) and synthesis ( primase / polymerase ) functions, whose assembly is closely linked to cell cycle phase. Initiation of DNA replication takes place when pre-replication complexes (pre-RCs) comprising the origin recognition complex (ORC) , chromatin licensing and DNA replication factor 1 (Cdt1) and cell division cycle 6 (Cdc6) are assembled at multiple DNA replication start sites ( origins ) in the genome during G1 phase. Origins of replication are subsequently licensed by loading of the inactive mini-chromosome maintenance protein complex (MCM) DNA unwinding (helicase) motor onto DNA, which is then activated in a series of steps during S phase to form functional replisomes. It is believed that the activated MCM melts the double helix and unwinds the DNA at the replication fork, allowing the replicative polymerases to do their work. Alessandro Costa ( The Francis Crick Institute ) described how cryo-EM is being used to understand the molecular basis of DNA engagement by the MCM and the mechanics of the helicase motor. Using purified yeast proteins in a reconstituted DNA replication system, his team have used single-particle cryo-EM to study the mechanisms of MCM helicase loading onto DNA and MCM-driven DNA melting and untwisting during origin licensing . DNA fork progression depends on the energy derived from ATP hydrolysis by the MCM motor, however, it is unclear how this is achieved. Using cryo-EM, sub-nanometre resolution structures of the CMG helicase trapped on a DNA replication fork have been determined and combined with single-molecule FRET measurements to suggest a replication fork unwinding mechanism. Further studies on the mechanism of helicase activation show that activated helicases are bound to unwound single DNA strands and pass each other within the replication origin as they translocate in opposite directions along the DNA strands in a process driven by different helicase conformational states. Three different polymerases act sequentially on the leading-strand template to establish DNA replication. Cryo-EM has been used to study the structure and dynamics of the main leading-strand polymerase bound to the CMG helicase and how polymerase binding changes both helicase structure and fork-junction engagement . Pfizer was the first pharmaceutical company to adopt cryo-EM in-house. Due to its ability to visualize protein structures and ligand interactions , cryo-EM has been increasingly adopted by the pharmaceutical industry as a tool to facilitate structure-based and fragment-based drug discovery. Cryo-EM is one of several technologies that AstraZeneca has invested in, as they push to develop novel drug targets. The DNA damage response is one of AZ’s strategic areas within oncology and Taiana Maia de Oliveira described how single-particle cryo-EM has been used to reveal insights into the structure of the DNA damage sensor phosphatidylinositol 3-kinase related kinase (PIKK) protein family, which controls the response of cells to stress and nutrient status. In collaboration with the MRC Laboratory of Molecular Biology , and using facilities at the Cambridge Pharmaceutical Cryo-EM Consortium , AZ researchers used cryo-EM to define the world’s first protein structures for human ataxia telangiectasia mutated (ATM) and the structure of ATM in different functional states. Because of its large size (350 kDa), previous attempts to obtain a high resolution structure of ATM with other techniques proved impossible. ATM is a key trigger protein in the DNA damage repair response, involved in tumorigenesis and survival of cancer cells and, as a result, a prime therapeutic target for oncology. This structural work revealed that ATM functions as a “molecular switch”. In the asymmetric (“on”) ATM dimer state, the active site is open and can bind substrate, whereas in the symmetric (“off”) state the active site is closed and substrate binding is blocked. Both open and closed ATM molecules co-exist in the sample protein samples, explaining why catalytic activity of ATM can be seen even under basal conditions and indicating that activators and inhibitors may work by altering the equilibrium between the two dimer populations. AZ have also used cryo-EM to elucidate the mechanism of RET activation with a view to targeting this mechanism in neurodegenerative disease and diabetes. Conclusion Once derided as being “Blobology” because of the lack of definition in its blurry images, cryo-EM has rapidly become one of the hottest new approaches in biological research, with many calling it a “resolution revolution” . In the last few years there has been an exponential growth in the number of images being uploaded to The Electron Microscopy Data Bank , with the quality of the images rivalling those obtained using X-ray crystallography. As was demonstrated during the ELRIG webinar, cryo-EM is well-suited to providing high resolution structural information to aid both academic and industrial projects. Successful applications in small molecule drug discovery will certainly gather pace as pharma seek to exploit the power of this technology to deduce the structures of therapeutically relevant protein targets, as well as provide information on binding site and ligand interactions , to enable the study of drug-target interactions. In due course, we can expect cryo-EM to be applied to a variety of areas in the pharmaceutical industry, including vaccines, protein degradation, gene therapy, biologics, epitope mapping and antibody-antigen interactions. Technological improvements in direct electron detection , image collection and image analysis , enabled the successes of cryo-EM, but there are still a number of methodological aspects that could be improved , including validating the accuracy of cryo-EM structures and developing data standards . Automation of many steps from sample preparation to data pre-processing will improve the efficiency and productivity of cryo-EM and, hopefully, take specimen preparation for cryo-EM from a trial and error “art” to a controlled and reproducible process making it easier to use and providing robust protocols from beginning to end. The development of graphene supports also promises improvements in the reliability of specimen preparation and image quality. There is also a drive to make cryo-EM more affordable using machines that operate at lower voltages. Finally, for readers interested in learning more about the practicalities of cryo-EM, a good starting point is the MRC Laboratory of Molecular Biology electron microscopy webpage .
by Paul Whittaker 6 April 2020
Healthcare organisations such as the NHS face unrivalled challenges, from improving access and care for patients, to increasing efficiency and reducing costs. Medical and healthcare innovation is seen as having a key role in driving these improvements , particularly in the NHS . Twice a year the Royal Society of Medicine (RSM) holds a day of presentations and discussions around new ideas and developments in medicine and healthcare. The presenters range from early stage entrepreneurs, to those who are embedding innovations in a clinical setting. The variety of topics covered is always stimulating and provides an early insight into how medicine and healthcare are likely to be shaped in the future. In this article I will be reviewing the two RSM Medical Innovations summits I attended in 2019 on 6th March and 21st September . Patient Monitoring Patient monitoring is an essential part of clinical and disease management. It allows an assessment of the progress/regression of a disease, or the development of complications. Poor monitoring can lead to poor disease control. With all its innovations and possibilities, digital technology has the capability to capture and quantify the physical, mental and social wellbeing of patients, as well as aid in disease management. Digital technology provides an opportunity to deliver patient triage in new ways. Using data from wireless-enabled implanted cardiac devices received via the CareLink network, Matt Cook and Roel Bogaarts ( Medtronic ) explained how the FOCUSON team monitors and triages incoming data to aid hospital clinical teams. Clinical teams receive alerts via telephone, email, or the FOCUSON Platform. As a result they are able to devote more time to patients, particularly those in need of urgent care. The use of algorithms and software ( artificial intelligence, AI ) has great potential for helping clinicians understand complex medical data sets and help guide clinical decision making. Letizia Gionfrida ( Arthronica ) revealed how AI is being used for the assessment and management of chronic rheumatic conditions so that examinations can be performed remotely using a laptop or smartphone camera, to reduce, or eliminate, the need for face-to-face consultations. Elina Naydenova ( Feebris ) described how AI is being used to improve diagnosis in vulnerable patient groups (the young and the elderly) by analysing data from a wide range of point-of-care devices (digital stethoscopes, wearables etc.) to extract clinical information that can be used by healthcare professionals to facilitate early diagnosis. Wearable sensors (wearables) are smart electronic devices worn next to the skin that can collect physiological and environmental data that can be used for immediate user feedback, or downstream analysis. Wearables are increasingly being used to collect and process physiological parameters for digital health information . In terms of the evaluation of human movement, sensors can be used to provide feedback to the user that they can use to modify their movements and improve their daily life. Nuala Barker ( Walk With Path ) talked about two wearables to improve patient mobility: a shoe attachment ( Path Finder ) to improve movement and gait in patients with neurodegenerative diseases such as Parkinson’s disease and; a shoe insole that provides haptic feedback to patients at risk of falls due to diseases such as peripheral neuropathy ( Path Feel ). Patient Self Help Patient self-care is important not only for preventing future health problems (e.g. heart disease and lung cancer), but also in managing the course of long-term conditions. Chris Edson ( OurPath ) explained how smart technology and behavioural science are being combined to help patients replace bad habits with good ones. Nutritional advice and planning are combined with smart scales and a step tracker to facilitate behavioural change and monitor progress. The OurPath online habit change platform has now been commissioned by the NHS . Knowledge is power, as the saying goes. Patient knowledge can improve health outcomes and enable patients to actively participate in disease control and treatment. However, the knowledge needs to be evidence-based and relevant to the patient. Seb Tucknott ( IBDrelief ) has developed an online portal to provide information and support for sufferers of inflammatory bowel disease (IBD) . IBD, which includes Crohn’s disease and ulcerative colitis, is generally managed through strong drugs and/or surgery. For millions of people worldwide, everyday life can be a struggle as sufferers deal with a range of debilitating symptoms which impact their quality of life. The IBDRelief portal is based on research Seb carried out to help him deal with the symptoms of IBD following his diagnosis in 2008 and is aimed at helping sufferers learn how to control their symptoms alongside their medical treatment, as well as connect with other sufferers and share experiences. Mental Health Mental health disorders are complex and challenging, as well as placing an increasing burden on healthcare globally . Digital health interventions (DHIs) , which include smartphone apps, computer‐assisted therapy and wearable technologies, have enormous potential for the treatment for mental health disorders by improving accessibility, clinical effectiveness and personalisation of mental health interventions . Data obtained by digital sensors and wearables can be used as digital biomarkers to assess the mental states of individuals, but the effectiveness has still to be proven clinically. Individuals with autism are at increased risk of having co-occurring mental health conditions such as anxiety and depression . Many of those affected find that existing psychological and drug-based treatments for their conditions have limited impact. Based on research into the ways interoception can influence emotions and behaviour, Sarah Garfinkel ( University of Sussex ) presented an innovative approach to help people with autism who develop an anxiety disorder. This approach aims to help sufferers manage the stress they feel in response to unexpected changes, by tuning into their own heartbeat to reduce anxiety levels. This treatment, known as interoception-directed therapy , is computer based and uses a finger monitor to measure users’ heartbeats as they move through a series of tests and training exercises. A clinical trial is being conducted to understand how effective this approach can be in the short and long term. If effective, the potential is immense and there are plans to develop an app version. Given their ubiquitous digital activity, the use of DHIs may be preferred by children and young people. Richard Andrews ( Healios ) introduced ThinkNinja , a downloadable app designed to help 11-18 year olds learn about mental health and wellbeing and develop skills to help them build resilience and stay well. Built using the principles of cognitive behavioural therapy , the user is coached by the AI-powered app and the skills of a clinical psychologist, to help them deal with a range of mental health issues. Currently, ThinkNinja is a commissioned service only, available in the UK via the NHS, schools, local authorities and charities working with young people. Cancer Cancer screening can save lives by finding cancers at an early stage, or even preventing them. The UK currently has three screening programmes for bowel, breast and cervical cancer. Skin cancer is one of the most common cancers. When diagnosed and treated early, melanoma is curable. Rotimi Fadiya ( PRSM Medical ) introduced The sKan , a low-cost non-invasive handheld device for diagnosing melanoma that provides a quantitative assessment. The technology is based on research showing that cancerous cells are warmer than normal cells. The sKan’s thermistors monitor cancerous cells' heat emissions in real time, creating a heat map showing which cells recover more quickly from thermal shock, indicating the presence of melanoma. The device is still being developed with a view to clinical testing and regulatory approval. Breast cancer is the most common type of cancer in the UK. Early stage detection with suitable treatment can reduce mortality, so there is a lot of interest in developing faster and lower cost ways of diagnosing breast cancer earlier . Francisco J Gonzalez ( Higia Technologies ) described how the Eva bra is being developed for the early detection of breast cancer. Eva uses thermal sensing and artificial intelligence to identify abnormal temperatures in the breast that can correlate to tumour growth so that users are alerted to any disturbing changes. The Eva bra is in early development. It is worth noting that thermal imaging for cancer screening is a controversial area . Radiotherapy is generally considered the most effective cancer treatment after surgery. Proton beam therapy is a type of radiotherapy that uses a beam of high energy protons generated by a cyclotron to treat specific types of cancer (e.g. brain, head and neck cancers). Gillian Wheatfield ( Christie Hospital, Manchester ) explained how precise targeting of the proton beam reduces damage to surrounding healthy tissue and vital organs (e.g. the spinal cord). In the UK, The Christie Centre which opened in 2018, currently provides high energy proton beam therapy, with a second centre at University College London Hospital due to open in 2021. Surgery The convergence of surgical expertise and digital technologies via imaging, virtual and augmented reality (VR and AR), 3-D reconstruction, simulation, 3-D printing, navigation guided surgery and robotic assisted surgery techniques, promises to transform future surgical care . Advancements in VR and AR are starting to impact surgical training. In 2014 around 13,000 medical students, professionals, and interested lay people from more than 100 countries watched an operation live via a camera on a Google Glass worn by colorectal surgeon Shafi Ahmed , while he was performing surgery to remove cancerous tissue from the liver and bowel of a 78 year old patient in London. This was the first time Google Glass had been used during an operation in the UK and demonstrated how a broadcast could reach anybody with an internet connection. In 2016, Ahmed performed surgery on a cancer patient that was streamed live online, using 360-degree virtual reality video and viewed by 55,000 people in 140 countries. Now he is leading an effort to build a fully digital hospital in Bolivia. Robotic surgery, or robot-assisted surgery is a type of minimally invasive surgery which allows surgeons to perform complex procedures with more precision, flexibility and control than is possible using conventional techniques. Compared to open (large incision) surgery, robotic surgery is claimed to cause less trauma, minimal scarring and needs less recovery time. Mark Slack ( CMR Surgical ) described the Versius surgical robotic system which is a rival to the da Vinci system used in some hospitals in the UK. Versius, is a portable modular system of robot arms with a small footprint that can be wheeled into an operating theatre. In a typical scenario, three or more robots are used to perform a range of procedures, with one arm holding an imaging probe and the others equipped with surgical instruments. The surgeon uses gaming style controllers and a 3D display screen at a console in the theatre to perform the procedure. The underpinning innovation for the system is the robotic arm which allows seven degrees of movement . Versius has now been used for operations in the UK . Katerina Spranger and Liya Asner explained how Oxford Heartbeat has developed computational tools to facilitate surgical planning for minimally invasive surgery. Aneurysm surgery requires precise spatial understanding of the vascular anatomy and surrounding tissue to visualise the surgical intervention and pre-define the surgical steps. By reconstructing accurate 3-D anatomy from pre-operative scan data she presented an example of how this approach can be used in planning for aneurysm endovascular stent surgery by helping surgeons choose the best stent and placement for the patient. Potentially, this could reduce waste of devices, complications and costs. Disease The European Union defines a disease as rare if it affects fewer than 1 in 2,000 people. Due to the limited market size and the cost, development of treatments for rare diseases continues to be challenging, despite the incentives in the Orphan Drug Acts of various countries worldwide . The defective gene underlying Duchenne’s Muscular Dystrophy (DMD) was identified in the mid-1980s , however, it took around 30 years for the first approved therapy for DMD to appear and these work only in patients with specific mutations. Josie Godfrey and Fleur Chandler explained how Duchenne UK has brought 8 pharmaceutical companies together through Project Hercules to pool data and resources to accelerate the discovery and development of new therapies for Duchenne’s Muscular Dystrophy (DMD). Initiatives similar to Project HERCULES for other rare diseases could have similar benefits for accelerating the development of new therapies. Over 5% of the world’s population suffers from hearing loss and this figure is expected to rise to 10% by the year 2050. Krishan Ramdoo ( Tympa Health ) described a smartphone-based hearing health assessment system aimed at simplifying the clinical pathway for patients and professionals by improving the communication between GPs and ENT specialists to bridge primary and secondary care. The Tympa system combines: an otoscope for assessing ear health; earwax removal by micro-suction; a screening hearing test; the creation of a digital hearing record with integrated machine learning; and the capability for remote consultation with an ENT specialist. Tympa is currently undergoing trials with the NHS and being rolled out in the Boots Hearingcare network. Eye diseases affecting the cornea are a major cause of blindness worldwide. Around 5 million people suffer total blindness due to corneal scarring . Corneal transplantation is the treatment of choice for loss of corneal function, however, it is limited by the supply of corneal donors. Bioprinting using bioinks is an emerging technology for the fabrication of functional tissue constructs to replace injured or diseased tissues. Che Connon (Newcastle University and Atelerix ) talked about efforts to plug the gap between supply and demand for corneas for transplant surgery by embedding live, functional corneal cells in a hydrogel to create cell-laden bioinks for 3-D bioprinting of a corneal stroma equivalent . When combined with continuous bioprocessing of stromal cells and 4-D tissue engineering using localised cell activators, bioprinting could potentially be used to ensure an unlimited supply of corneas in the future. Drug Discovery and Development Stem cell therapy , also known as regenerative medicine , aims to promote the repair of diseased, dysfunctional, or injured tissue using stem cells . For several decades, stem cell therapy has been used to treat people with conditions such as leukaemia and lymphoma , but its use to treat other diseases is unproven and a cause of concern for regulatory bodies . Osman Kibar explained how Samumed is developing regenerative therapies based on small molecule drugs targeting the Wnt pathway , which is one of the key signalling pathways for controlling the differentiation of adult stem cells. Dysregulation of the Wnt pathway in tissues invariably leads to disease in that tissue, so Wnt pathway modulation has potential as a therapy for degenerative diseases. Although targeting a key cell signalling pathway such as Wnt can be problematic , Samumed are developing a pipeline of treatments for a range of diseases from osteoarthritis to idiopathic pulmonary fibrosis based on drug targets upstream of Wnt receptors, rather than Wnt receptors on the cell membrane. Clinical trials are a vital part of the drug development process. There are tens of thousands of clinical trials taking place globally, each requiring the recruitment of eligible patients for their success, but this has become an increasing challenge. Maya Zlatanova revealed how the FindMeCure Foundation is bringing clinical trials and patients closer together by educating patients about clinical trials and has developed a searchable database of clinical trials so that patients can learn what trials are available that provide access to innovative therapies. On the converse, via Trialhub , FindMeCure provides data to help clinical trial organisers with regards to country and site selection, as well as patient recruitment and engagement. So far, this free service has helped nearly 400,000 patients in their search for clinical trials. Medical Education Advances in medical education have long played a vital part in informing clinical practice. Given the importance of nutrition to human health and the benefits that dietary patterns can have on cardiovascular disease risk and overall mortality , there is a belief that nutrition training should be a compulsory part of medical education, as a way of tackling the increasing burden of chronic lifestyle-related disease in the UK and worldwide. There is also a growing interest in culinary medicine as a way for clinicians to engage better with their patients on lifestyle-related disease. Iain Broadley and Ally Joffee described how Nutritank , an information and innovation hub for food, nutrition and lifestyle medicine, was set up to encourage UK medical schools to increase the levels of nutrition and lifestyle education in their curricula. Nutritank is now part of the NNEdPro network and offers a number of resources for medical students and healthcare professionals. Innovation Innovation is critical in enabling the NHS to deliver better outcomes for patients. However, ensuring the adoption and spread of innovations can be challenging. Chris Chaney discussed the work of CW Innovation in delivering new initiatives and improvements from a smartphone app that provides advice to new parents, to work with the Chelsea and Westminster Hospital Burns Unit on the in-house production of bespoke face masks and splints, for facial scar healing. They are also working with Digital Health London to speed up the adoption of digital health innovation in the NHS. Medical progress is dependent upon the successful translation of basic science discoveries into new medical devices, diagnostics, and therapeutics. “Technology transfer” is the process by which new innovations flow from the laboratory bench to commercial entities and then to market . Since its founding in 2000, Cleveland Clinic Innovations (CCI) , the commercialization arm of The Cleveland Clinic , has translated 3400+ inventions in health IT , medical devices , therapeutics and diagnostics , and delivery solutions into 800+ granted patents, 450+ licenses and 40+ spin-offs. Peter O’Neil revealed how CCI maintains its innovation pipeline using its INVENT (Ideas; Need; Viability; Enhancement; Negotiations; Translation) process and a team of market analysts, subject matter experts and former medical industry leaders to mine, assess, and commercialize new innovations. Industry is increasingly looking to work with small venture capital -backed companies, or universities, to capitalise on their early research capabilities. Funding of early-stage translational research is important for the delivery of investment-worthy opportunities to the venture capital community. However, there are a limited number of investors willing to offer the sums involved. Steve Rockman chatted about how Merism Capital provide seed investment to health & education start-ups. Design is an iterative process in which a prototype solution, selected from a variety of potential solutions to a problem, is tested and revised as needed. In patient-centred design , this process is focused on the patient and their specific needs and considers a range of other factors, such as the environment and economics of the patient’s situation. Nicole Parks and Dipanjan Chatterjee described Medtronic’s approach to patient-centred design via their Applied Innovation Lab (AIL) approach. Much of AIL’s work is focussed on experience design and solution design rather than creating prototypes of new medical devices or apps. We will all die and we will all have to die somewhere. Of the 500,000 or so people who die each year in the UK, around half of these deaths occur in hospital . Yet 70% of people would like to die at home . Having an advance care plan is an effective way of giving people control over where they end their life and is an important part of end of life care . Ivor Williams ( The Helix Centre ), talked about how human-centred design had been used to tackle care planning for emergency hospital admissions ( ReSPECT ) and a digital platform designed to help individuals and families create an advance care plan ( Amber Care Plans ) that can be shared with family, carers and GPs. Conclusion The RSM Innovation meetings are always worth attending. The format of the meetings and the breadth of innovations presented make for a very interesting and stimulating day. What is clear from the 2019 meetings is that digital technology and artificial intelligence are driving healthcare innovation in a wide range of areas, from patient monitoring, to new disease treatments, to improving surgical procedures. The opportunities that are now available for individuals to use digital technology to become active participants in managing both their health and their diseases are exciting and welcome developments. The potential of using data from wearables as digital biomarkers for the assessment of the mental health status of individuals could be a powerful and much needed tool as more and more people suffer mental health issues in society. The use of patient-centred design to improve the patient experience, particularly with regards to end of life care is also welcome, as disease can often be viewed as a scientific and/or technological problem to be solved, while overlooking the “humanness” of the situation. Unfortunately, the 20th RSM Innovation Summit scheduled for 25th April 2020 has now been cancelled because of the current corona virus pandemic, but hopefully it will go ahead later on in the year.
by Paul Whittaker 1 April 2020
The COVID-19 pandemic which recently originated in China has had a significant impact on the populations , healthcare systems and economies of many countries worldwide. People who get infected appear to vary in their response to the virus , from being asymptomatic or having mild symptoms, to having severe respiratory symptoms which require hospitalisation and can even result in death. Unfortunately, the elderly and people with co-morbidities are often to be found in the latter group, although deaths of people in their twenties or teens have been recorded . Severe responses to respiratory virus infections are often characterised by an exaggerated inflammatory response in which pro-inflammatory cytokine release from damaged lung cells attracts a variety of activated immune cells to the lungs which then cause further lung damage. This appears to also be the case for severe COVID-19 infections . Controlling this excessive immune response will be important in the control of severe disease. However, the aim would be to attenuate the response, rather than ablate it. Total ablation of inflammation would likely promote disease mortality, whereas attenuation should provide protection against the damaging effects caused by excess inflammatory responses, whilst preserving essential innate host defence activities to help clear the virus. As a result, the damaging effects of the excessive inflammatory response would be blunted, but its protective and disease pro-resolution effects would be preserved. Currently, Clinicaltrials.gov lists 239 trials that are planned, or in recruitment, as academic and industrial groups race to develop therapies for COVID-19-induced disease. Most of these are aimed at testing vaccines or anti-viral drugs. None appear to be aimed at testing inhibitors of p38MAPK as immunomodulators for use in severe COVID-19. However, I think such inhibitors have potential and deserve consideration for testing. Several years ago, whilst working at hVIVO, I set up and ran a programme aimed at identifying immunomodulatory drug targets for the treatment of influenza-infected patients who are hospitalised with severe symptoms. The result was a drug repurposing strategy based around p38MAPK inhibitors. Full details can be found in these two submitted patent applications . For various commercial and financial (not scientific) reasons, although a clinically tested p38MAPK inhibitor was in-licensed, the concept was never tested in clinical studies. Given the similarities between severe COVID-19 and severe influenza and the desperate need for drug treatments for hospitalised patients, I do think p38MAPK inhibitor treatment is worth trialling alongside other approaches. Please contact me if you would like to discuss further. Note added 20-MAR-2021: The first of the patent applications referred to above, EP3478322 , was granted a European patent on 30th December 2020. Note Added 06 -MAR-2024: European, US and Japanese patents have now been granted for EP3478322 .
by Paul Whittaker 20 February 2020
Image Source: Nickel, M et al. (2015)
by Paul Whittaker 4 February 2020
The reductionist target-driven approach to drug discovery, fuelled by sequencing of the human genome, omics technologies and genetic studies has not been as successful in generating new therapies as was initially hoped. Sixty percent of drugs fail in clinical trials due to lack of efficacy, because the underlying therapeutic concept is flawed. This weakness in hypothesis generation is due to gaps in understanding of the underlying human disease biology and drug target validation. So I was interested to attend the ELRIG Drug Discovery 2019 conference entitled “Looking Back to the Future”, held at the ACC in Liverpool on 5-6 November 2019 and catch up on the latest thinking and approaches to tackling these issues. With 8 topic-specific tracks across two days, plus plenary talks, poster sessions and an exhibition featuring 100 companies showcasing their latest drug discovery aids, I was only able to attend a selection of what was on offer. So in this post, I will be concentrating on the talks I attended in sessions dealing with artificial intelligence, cellular models of disease and biomarker strategies in drug discovery. But first, I’ll start with the three plenary talks by Mene Pangalos ( AstraZeneca ), Fiona Marshall ( MSD UK Discovery Centre ) and Melanie Lee ( LifeArc ), who each gave their perspectives on the current issues faced in the discovery of new drugs and how improvements might be made. Plenary Talks Astra Zeneca’s 5Rs framework has already resulted in a 4-fold improvement in clinical trial success rates. In the first plenary talk of the conference, Mene Pangalos explained how AZ aim to improve on this, by rigorous drug target selection and validation using data science and artificial intelligence , as well as technologies such as CRISPR and multi-modal molecular mass spectrometry imaging . Artificial intelligence, in particular, is being leveraged across the drug discovery process in a number of areas in an attempt to make the design-make-test-analyse (DMTA) cycle more efficient and effective. AZ are also expanding the number of therapeutic modalities beyond the trinity of small molecule, antibody and peptide approaches, to include anticalin proteins , proteolysis targeting chimeras ( PROTACs ), antisense and bicyclic peptides , amongst others. Neurodegenerative diseases such as Alzheimer’s disease (AD) have been particularly challenging for the development of new drugs. Only 2 classes of drugs are currently approved for therapeutic use in AD ( acetylcholinesterase inhibitors and NMDA receptor antagonists ). These drugs are able to lessen symptoms (e.g. memory loss and confusion), but are not disease modifying. Fiona Marshall explained how lack of progress in developing new AD therapies is largely due to poor mechanistic understanding of AD, as well as poor predictably of disease models. Drugs based on the genetics-driven amyloid hypothesis have failed to show efficacy in clinical studies , and a recent report suggests that high levels of brain amyloid alone are not sufficient to cause AD. As a result, clinical trials testing possible interventions aimed at other drug targets are currently in progress. Whether the failure of trials of anti-amyloid drugs was due to selecting the wrong drug dosages, the wrong patients, or other reasons, is unclear. However, future success will require biomarkers , neuroimaging and brain activity monitoring for testing drugs with the right mechanism of action in the right patients at the right stage of the disease. The translation of drugs from pre-clinical to clinical testing is clearly an inefficient process that will undoubtedly benefit from well validated therapeutic opportunities. However, Melanie Lee cautioned that, in addition, future products will also need to carry richer data packages, including information on which patient sub-groups to target, as well as companion diagnostics. There will also be an emphasis on diagnosing patients earlier in their disease course, as current points of intervention tend to be late in the disease trajectory. So, in addition to targeted interventions, surveillance screening will be very important. For example, Oncimmune’s Early CDT-Lung test can detect lung cancer 4 or more years before clinical diagnosis. Future improvements in the diagnosis, treatment and outcomes for patients may also come from using crowd sourcing approaches . Cellular Models of Disease The lack of preclinical models that faithfully mimic key aspects of human disease biology in patients has long been an Achilles heel of the drug discovery process. The Holy Grail is to have models that are more capable of predicting clinical success and drug side effects. Organoids derived from adult stem cells, differentiated embryonic stem cells, pluripotent stem cells (iPSCs) and precision genome engineering via CRISPR, offer new opportunities for the generation of diseased and healthy cell types that mimic at least some aspects of the disease in vitro . There is a lot of excitement about using patient-derived iPSCs to overcome the constraints of limited access to viable human tissue and poorly translatable animal models, by enabling the generation of large, reproducible quantities of biologically relevant cells from healthy and diseased individuals. Paul Andrews ( National Phenotypic Screening Centre ), reviewed how phenotypic screening by high content imaging of organoids and iPSC-derived cells is being used to marry “old style” (physiology-driven) and “new style” (target-driven) drug discovery approaches. Phenotypic screening makes no assumptions about the target and limited assumptions about the mechanism of action. The use of iPSCs in phenotypic screening will be aided by: the development of best practices for iPSC disease models ; mapping cell phenotypes to genotypes with single cell genomics ; studying how genetic variations affect cell behaviour by integrating different omics data sets from human iPSCs ; developing well characterised collections of iPSC cell lines for the research community and; developing a collection of cellular reference maps for all the cell types in the human body. There are no effective therapies to treat Glioblastoma (GBM), which is the most common type of brain tumour. Surgery, radiotherapy and chemotherapy, even when combined, only increase survival by a year, on average. Developing clinically effective treatments has been a challenge, despite increasing genomic and genetic knowledge. Steven Pollard ( Centre for Regenerative Medicine, Edinburgh ) discussed how patient-derived models, genome editing and high content phenotypic screening are being used to accelerate drug discovery for GBM. GBM stem cells (which have molecular hallmarks of neural stem cells) and non-transformed neural stem cells have been used as patient-derived models to identify tumour-specific vulnerabilities via genetic screens, or cell-based drug discovery. In addition, the glioma cellular genetics resource is generating a toolkit of cellular reagents and data to expedite research into the biology and treatment of GBM. Wendy Rowan outlined GSKs approach to developing fit-for-purpose cellular models, by scoring models against sets of criteria, so that the most appropriate model(s) can be selected for the research question(s) being asked. Full characterisation of cellular models with respect to how well they model healthy and diseased human tissue physiology using “due diligence checklists” is now seen by GSK as being key to improving drug discovery. For any given drug target, several cellular models may be used to progress the target from validation to candidate selection. GSK are developing cellular models based on organoids , iPSCs and even assessing organ/body-on-a-chip approaches, based on microfluidic technology. Artificial Intelligence (AI) and Machine Learning (ML) As mentioned earlier, AstraZeneca are incorporating AI throughout the drug discovery process. Werngard Czechtizky explained how AZ are incorporating AI into medicinal chemistry by developing algorithms for reaction/route prediction, chemical space generation and affinity/property prediction for low molecular weight compounds, in the first instance, before potentially expanding out to other therapeutic modalities. The aim of doing this is to reduce costs, time, resources and the number of compounds tested (from around 2000 compounds to less than 500) in a 2-3 year time horizon. In terms of hit to lead optimisation , ML is being used for augmented design, predicting synthesis, analytics, and automated DMTA. The extraction of biologically meaningful signals from large diverse omic data sets for target discovery is a major challenge. Michael Barnes ( William Harvey Research Institute ) described how ML and AI are being used to support drug discovery and drug repositioning from genome wide association study data using a tensor-flow framework. Over a thousand genetic loci affecting blood pressure have been identified . These data have been used to teach a tensor-flow algorithm to identify new BP genes. In human population genetics, ML is being used to identify benign human knockouts from exome sequencing data , as potentially safer drug targets with fewer side effects. In personalised healthcare, ML is being used to develop multi-omic predictors of response to biologic therapies . Biomarker Strategies for Drug Discovery Oncology leads the field in the development of biomarkers for drug development and clinical testing. Development of biomarkers for other disease indications lags behind, facing challenges ranging from sample access and quality, to the resolution and sensitivity of detection technologies and the difficulties of measuring low abundance proteins in plasma. In this session, technological approaches to biomarker detection and measurement were reviewed by a range of speakers from industry and academia. Label-free detection methods utilize molecular biophysical properties to monitor molecular presence, or molecular activity. The main advantage of label-free detection is the elimination of tags, dyes, specialized reagents, or engineered cells. This means that more direct information can be acquired about molecular events, minimising artefacts created by the use of labels. Molecular events can also be tracked in real-time, and native cells can be used for greater biological relevance. Peter O’Toole ( University of York ) reviewed how label-free microscopy, can be used to complement and enhance omic and biochemical data by providing minimal perturbations to cellular systems, as well as being quantitative and allowing prolonged live cell imaging. Ptychography (a computational method of microscopic imaging ) does not rely on the object absorbing radiation, so if visible light is used to illuminate the object then cells do not need to be stained, or labelled to create contrast. This allows the collection of cell morphological data during apoptosis and cell division, as well as the observation of the behaviour of cells at the individual level. Understanding the distribution, metabolism and accumulation of drugs in the body is a fundamental part of drug development. Multi-modal molecular mass spectrometry imaging (MSI) allows label-free analysis of endogenous and exogenous compounds ex-vivo by imaging the surface of tissue sections taken from fresh-frozen samples. Gregory Hamm explained how AZ is using MSI to study the abundance and spatial distribution of drugs and their metabolites within biological tissue samples and is also being used for model characterisation . Idiopathic pulmonary fibrosis (IPF) is a lung disease that results in scarring of the lungs and causes progressive and irreversible decline in lung function, with an average life expectancy of 4 years after diagnosis. Currently, only Nintedanib and Perfenidone have been approved for the treatment of IPF, despite numerous phase II and III trials in the past 25 years . This failure is due to: a lack of understanding of the disease mechanism; lack of predictability of preclinical animal models and; the lack of biomarkers to diagnose the disease and monitor response to drug therapy. Sally Price described how the development of biomarkers for IPF is a strategic focus for the Medicines Discovery Catapult , in efforts to develop novel anti-fibrotics . The MDC is working on developing new models such as organ on a chip and 3D organoid models, as well as applying a range of technologies to identify and develop biomarkers for fibrosis. Simon Cruwys ( TherapeutAix ) talked about how a fibrosis extracellular matrix biomarker panel in serum had been used to develop an ex vivo tissue model of IPF . Amyotrophic lateral sclerosis (ALS), also known as motor neurone disease (MND), or Lou Gehrig's disease, is a clinically heterogeneous neurodegenerative disease which causes the death of neurons controlling voluntary muscles. Most sufferers eventually lose the ability to walk, use their hands, speak, swallow, and breathe. Andrea Malaspina ( Queen Mary University of London ) discussed the search for biomarkers for ALS . The development of new therapies for ALS has been limited by a poor understanding of the molecular mechanisms underlying the disease , resulting in the failure of a large number of clinical studies. Proteomic experiments in individuals with a significant difference in prognosis and survival at different time points in disease progression have identified potential biomarkers , such as neurofilaments and proteins involved in the humoral response to axonal proteins and in axonal regeneration. Natural history studies , clinical trials and a biological repository are being used as sources of tissue for biomarker identification and qualification. With regard to Parkinson’s disease , depression, loss of sense of smell and constipation are clinical features that often prelude PD symptoms . Therefore, clinical observations are being used to identify biomarkers that track these symptoms in patients for use in preventive neurology. Although a cell’s proteome contains a lot of biologically and therapeutically useful information, proteome analysis has lagged behind genome and transcriptome analysis. This is due to the complexity of the proteomes of mammalian cells, tissues and body fluids and the wide dynamic range of protein concentrations that are encountered. The emergence of newer sophisticated mass spectrometry (MS) technology in the past decade, with higher resolution and faster scan rates, has enabled smoother and quicker identification of complex proteomes with shorter analysis periods. As a result, Ian Pike ( Proteome Sciences Plc ) explained, mass spectrometry-based proteomic platforms are being increasingly used for: therapeutic protein analysis; target identification and deconvolution; biomarker ID; analysis of target engagement; systems biology and; clinical studies. Ian presented a couple of case studies where MS had been applied to the study of pancreatic cancer and for plasma biomarker discovery in IPF . Finishing the Biomarker session, Chantal Bazzenet ( Evotec ) talked about the portfolio of assays that Evotec have developed to aid the development of therapies for Huntington’s disease . Patients suffer uncontrolled movements, emotional problems, and loss of cognition. This progressive brain disorder is caused by aggregation of Huntingtin (HTT) protein . The wild-type protein is monomeric, but the mutated protein is aggregated and accumulates in neurons, affecting normal neuronal functioning. Evotec have developed assays to measure total and mutated Huntingtin (HTT) protein in mouse and human tissues. Comment Discovering new drugs is challenging and that will continue to be the case for the foreseeable future. Central to the whole drug discovery process is establishing the biological and disease relevance of a particular drug target. However, it is sobering to consider that it took over two decades after the defective genes causing cystic fibrosis (CF) and Duchenne’s muscular dystrophy (DMD) were identified, before the first FDA approved drugs ( Ivacaftor for CF and Eteplirsen for DMD ) were available to treat subsets of patients carrying specific mutations. My personal view is that target validation should called target qualification, as the drug target is not truly validated until it is shown that therapies based on the drug target hypothesis actually work in clinical trials. As I mentioned in the introduction to this post, this is not the case for 60% of pre-clinically “validated” targets... In concert with the efforts to produce better drug targets and therapeutic hypotheses, it is clear that biomarkers for disease characterisation, early detection of disease, determining the trajectory of disease progression, patient selection for drug testing and, patient response to therapy, will be just as important for future clinical success as validated qualified drug targets. Interventions at earlier stages of the disease process are also required so that new drug therapies for common complex diseases are disease-modifying, or even curative, rather than just being symptomatic. What is clear, is that modern drug discovery requires a multi-disciplinary approach employing a number of different technologies, from omics, to CRISPR gene editing, plus everything in between. In turn, this means that ever more complex data sets are being generated that present challenges, not just in analysis, but in interpretation and knowledge extraction. AI will certainly have a key role to play in the data science arena, as well as making the DMTA cycle more efficient and effective. However, the hypothesis-free approach that typifies the omics era of drug discovery can mean that the wrong datasets are generated and analysed, so no matter how “smart” the algorithm used for data analysis, the outputs will not be therapeutically relevant. Therefore, the focus on rigour and quality being pursued by pharma companies such as AZ in everything, from understanding the disease biology, to better target validation qualification, can only be a good thing. What the impact on clinical success rates will be is uncertain at this stage, so it really is a case of watch this space…
by Paul Whittaker 17 April 2019
Image source: FierceBiotech
by Paul Whittaker 5 April 2019
Highlights of the inaugural CRISPR in Drug Discovery conference organised by ELRIG and held at the Kings Centre, Oxford, February 27-28 2019