̽��ֱ�� of Cambridge - Future therapeutics

Opinion: AI can transform health and medicine

cjb250 — Mon, 07 Apr 2025 08:00:37 +0000

AI has the potential to transform health and medicine. It won't be straightforward, but if we get it right, the benefits could be enormous. Andres Floto, Mihaela van der Schaar and Eoin McKinney explain.

Lab-grown ‘mini-guts’ could change how we treat Crohn’s disease

cjb250 — Tue, 11 Jun 2024 09:31:24 +0000

Cambridge scientists have grown ‘mini-guts’ in the lab to help understand Crohn’s disease, showing that ‘switches’ that modify DNA in gut cells play an important role in the disease and how it presents in patients.

Baby born deaf can hear after breakthrough gene therapy

Anonymous — Thu, 09 May 2024 07:32:03 +0000

Opal Sandy from Oxfordshire is the first patient treated in a global gene therapy trial, which shows 'mind-blowing' results. She is the first British patient in the world and the youngest child to receive this type of treatment.

Opal was born completely deaf because of a rare genetic condition, auditory neuropathy, caused by the disruption of nerve impulses travelling from the inner ear to the brain.

Within four weeks of having the gene therapy infusion to her right ear, Opal responded to sound, even with the cochlear implant in her left ear switched off.

Clinicians noticed continuous improvement in Opal’s hearing in the weeks afterwards. At 24 weeks, they confirmed Opal had close to normal hearing levels for soft sounds, such as whispering, in her treated ear.

Now 18 months old, Opal can respond to her parents’ voices and can communicate words such as “Dada” and “bye-bye.”

Opal’s mother, Jo Sandy, said: “When Opal could first hear us clapping unaided it was mind-blowing - we were so happy when the clinical team confirmed at 24 weeks that her hearing was also picking up softer sounds and speech. ̽��ֱ��phrase ‘near normal’ hearing was used and everyone was so excited such amazing results had been achieved.”

Auditory neuropathy can be due to a variation in a single gene, known as the OTOF gene. ̽��ֱ��gene produces a protein called otoferlin, needed to allow the inner hair cells in the ear to communicate with the hearing nerve. Approximately 20,000 people across the UK, Germany, France, Spain, Italy and UK and are deaf due to a mutation in the OTOF gene.

̽��ֱ��CHORD trial, which started in May 2023, aims to show whether gene therapy can provide hearing for children born with auditory neuropathy.

Professor Manohar Bance from the Department of Clinical Neurosciences at the ̽��ֱ�� of Cambridge and an ear surgeon at Cambridge ̽��ֱ�� Hospitals NHS Foundation Trust is chief investigator of the trial. He said:

“These results are spectacular and better than I expected. Gene therapy has been the future of otology and audiology for many years and I’m so excited that it is now finally here. This is hopefully the start of a new era for gene therapies for the inner ear and many types of hearing loss.”

Children with a variation in the OTOF gene often pass the newborn screening, as the hair cells are working, but they are not talking to the nerve. It means this hearing loss is not commonly detected until children are 2 or 3 years of age – when a delay in speech is likely to be noticed.

Professor Bance added: “We have a short time frame to intervene because of the rapid pace of brain development at this age. Delays in the diagnosis can also cause confusion for families as the many reasons for delayed speech and late intervention can impact a children’s development.”

“More than sixty years after the cochlear implant was first invented – the standard of care treatment for patients with OTOF related hearing loss – this trial shows gene therapy could provide a future alternative. It marks a new era in the treatment for deafness. It also supports the development of other gene therapies that may prove to make a difference in other genetic related hearing conditions, many of which are more common than auditory neuropathy.”

Mutations in the OTOF gene can be identified by standard NHS genetic testing. Opal was identified as being at risk as her older sister has the condition; this was confirmed by genetic test result when she was 3 weeks old.

Opal was given an infusion containing a harmless virus (AAV1). It delivers a working copy of the OTOF gene and is delivered via an injection in the cochlea during surgery under general anaesthesia. During surgery, while Opal was given the gene therapy in right ear, a cochlear implant was fitted in her left ear.

James Sandy, Opal’s father said: “It was our ultimate goal for Opal to hear all the speech sounds. It’s already making a difference to our day-to-day lives, like at bath-time or swimming, when Opal can’t wear her cochlear implant. We feel so proud to have contributed to such pivotal findings, which will hopefully help other children like Opal and their families in the future.”

Opal’s 24-week results, alongside other scientific data from the CHORD trial are being presented at the American Society of Gene and Cell Therapy (ASGC) in Baltimore, USA this week.

Dr Richard Brown, Consultant Paediatrician at CUH, who is an Investigator on the CHORD trial, said: “ ̽��ֱ��development of genomic medicine and alternative treatments is vital for patients worldwide, and increasingly offers hope to children with previously incurable disorders. It is likely that in the long run such treatments require less follow up so may prove to be an attractive option, including within the developing world. Follow up appointments have shown effective results so far with no adverse reactions and it is exciting to see the results to date.

“Within the new planned Cambridge Children’s Hospital, we look forward to having a genomic centre of excellence which will support patients from across the region to access the testing they need, and the best treatment, at the right time.”

̽��ֱ��CHORD trial has been funded by Regeneron. Patients are being enrolled in the study in the US, UK and Spain.

Patients in the first phase of the study receive a low dose to one ear. ̽��ֱ��second phase are expected to use a higher dose of gene therapy in one ear only, following proven safety of the starting dose. ̽��ֱ��third phase will look at gene therapy in both ears with the dose selected after ensuring the safety and effectiveness in parts 1 and 2. Follow up appointments will continue for five years for enrolled patients, which will show how patients adapt to understand speech in the longer term.

In Cambridge, the trial is supported by NIHR Cambridge Clinical Research Facility and NIHR Cambridge Biomedical Research Centre.

Adapted from a press release from CUH

A baby girl born deaf can hear unaided for the first time, after receiving gene therapy when she was 11 months old at Addenbrooke’s Hospital in Cambridge.

Gene therapy has been the future of otology and audiology for many years and I’m so excited that it is now finally here

Manohar Bance

Cambridge ̽��ֱ�� Hospitals NHS Foundation Trust

Baby Opal and mother Jo

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

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Researchers redesign future mRNA therapeutics to prevent potentially harmful immune responses

jg533 — Wed, 06 Dec 2023 16:02:31 +0000

mRNA - or ‘messenger ribonucleic acid’ - is the genetic material that tells cells in the body how to make a specific protein. Researchers from the Medical Research Council (MRC) Toxicology Unit have discovered that the cellular machinery that ‘reads’ mRNAs ‘slips’ when confronted with repeats of a chemical modification commonly found in mRNA therapeutics. In addition to the target protein, these slips lead to the production of ‘off-target’ proteins triggering an unintended immune response.

mRNA vaccines are considered game-changing. They have been used to control the COVID-19 pandemic and are already proposed to treat various cancers, cardiovascular, respiratory, and immunological diseases in the future.

This revolutionary class of therapeutics was made possible in part through the work of biochemist Katalin Karikó and immunologist Drew Weissman. They demonstrated that by adding chemical modifications to the bases – the building blocks of mRNA – the synthetic mRNAs could bypass some of our body’s immune defences allowing a therapeutic to enter the cell and exert its effects. This discovery led to their award of the Nobel Prize in Physiology and Medicine in 2023.

̽��ֱ��latest developments, led by biochemist Professor Anne Willis and immunologist Dr James Thaventhiran from the MRC Toxicology Unit at the ̽��ֱ�� of Cambridge, build upon previous advances to ensure the prevention of any safety issues linked with future mRNA-based therapeutics. Their report was published on 6 December in the journal Nature.

̽��ֱ��researchers identified that bases with a chemical modification called N1-methylpseudouridine – which are currently contained in mRNA therapies – are responsible for the ‘slips’ along the mRNA sequence.

In collaboration with researchers at the Universities of Kent, Oxford and Liverpool, the MRC Toxicology Unit team tested for evidence of the production of ‘off-target’ proteins in people who received the mRNA Pfizer vaccine against COVID-19. They found an unintended immune response occurred in one third of the 21 patients in the study who were vaccinated – but with no ill-effects, in keeping with the extensive safety data available on these COVID-19 vaccines.

̽��ֱ��team then redesigned mRNA sequences to avoid these ‘off-target’ effects, by correcting the error-prone genetic sequences in the synthetic mRNA. This produced the intended protein. Such design modifications can easily be applied to future mRNA vaccines to produce their desired effects while preventing hazardous and unintended immune responses.

“Research has shown beyond doubt that mRNA vaccination against COVID-19 is safe. Billions of doses of the Moderna and Pfizer mRNA vaccines have been safely delivered, saving lives worldwide,” said Dr James Thaventhiran from the MRC Toxicology Unit, joint senior author of the report.

He added: “We need to ensure that mRNA vaccines of the future are as reliable. Our demonstration of ‘slip-resistant’ mRNAs is a vital contribution to future safety of this medicine platform.”

“These new therapeutics hold much promise for the treatment of a wide range of diseases. As billions of pounds flow into the next set of mRNA treatments, it is essential that these therapeutics are designed to be free from unintended side-effects,” said Professor Anne Willis, Director of the MRC Toxicology Unit and joint senior author of the report.

Thaventhiran, who is also a practising clinician at Addenbrooke’s hospital, said: “We can remove the error-prone code from the mRNA in vaccines so the body will make the proteins we want for an immune response without inadvertently making other proteins as well. ̽��ֱ��safety concern for future mRNA medicines is that mis-directed immunity has huge potential to be harmful, so off-target immune responses should always be avoided.”

Willis added: “Our work presents both a concern and a solution for this new type of medicine, and result from crucial collaborations between researchers from different disciplines and backgrounds. These findings can be implemented rapidly to prevent any future safety problems arising and ensure that new mRNA therapies are as safe and effective as the COVID-19 vaccines.”

Using synthetic mRNA for therapeutic purposes is attractive because it is cheap to produce, so can address substantial health inequalities across the globe by making these medicines more accessible. Moreover, synthetic mRNAs can be changed rapidly – for example to create a new COVID-19 variant vaccine.

In the Moderna and Pfizer COVID-19 vaccines, synthetic mRNA is used to enable the body to make the spike protein from SARS-CoV-2. ̽��ֱ��body recognises the viral proteins generated by mRNA vaccines as foreign and generates protective immunity. This persists, and if the body is later exposed to the virus its immune cells can neutralise it before it can cause serious illness.

̽��ֱ��cell’s decoding machinery is called a ribosome. It ‘reads’ the genetic code of both natural and synthetic mRNAs to produce proteins. ̽��ֱ��precise positioning of the ribosome on the mRNA is essential to make the right proteins because the ribosome ‘reads’ the mRNA sequence three bases at a time. Those three bases determine what amino acid is added next into the protein chain. Therefore, even a tiny shift in the ribosome along the mRNA will massively distort the code and the resulting protein.

When the ribosome is confronted with a string of these modified bases called N1-methylpseudouridine in the mRNA, it slips around 10% of the time causing the mRNA to be misread and unintended proteins to be produced – enough to trigger an immune response. Removing these runs of N1-methylpseudouridine from the mRNAs prevents ‘off-target’ protein production.

This research was funded by the Medical Research Council and the Wellcome LEAP R3 programme, and supported by the NIHR Cambridge BRC.

Reference: Mulroney, T E et al: ‘(N)1-methylpseudouridylation of mRNA causes +1 ribosomal frameshifting.’ Nature, Dec 23. DOI: 10.1038/s41586-023-06800-3

Researchers have discovered that misreading of therapeutic mRNAs by the cell’s decoding machinery can cause an unintended immune response in the body. They have identified the sequence within the mRNA that causes this to occur and found a way to prevent ‘off-target’ immune responses to enable the safer design of future mRNA therapeutics.

As billions of pounds flow into the next set of mRNA treatments, it is essential that these therapeutics are designed to be free from unintended side-effects.

Anne Willis

Libre de droit/ Getty Images

Strand of mRNA

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

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New vaccine technology could protect from future viruses and variants

sc604 — Mon, 25 Sep 2023 15:10:32 +0000

̽��ֱ��vaccine antigen technology, developed by the ̽��ֱ�� of Cambridge and spin-out DIOSynVax in early 2020, provided protection against all known variants of SARS-CoV-2 – the virus that causes COVID-19 – as well as other major coronaviruses, including those that caused the first SARS epidemic in 2002.

̽��ֱ��studies in mice, rabbits and guinea pigs – an important step before beginning human clinical trials, currently underway in Southampton and Cambridge – found that the vaccine candidate provided a strong immune response against a range of coronaviruses by targeting the parts of the virus that are required for replication. ̽��ֱ��vaccine candidate is based on a single digitally designed and immune-optimised antigen.

Even though the vaccine was designed before the emergence of the Alpha, Beta, Gamma, Delta and Omicron variants of SARS-CoV-2, it provided a strong protection against all of these and against more recent variants, suggesting that vaccines based on DIOSynVax antigens may also protect against future SARS-CoV-2 variants.

DIOSynVax (Digitally Immune Optimised Synthetic Vaccines) uses a combination of computational biology, protein structure, immune optimisation, and synthetic biology to maximise and widen the spectrum of protection that vaccines can provide against global threats including existing and future virus outbreaks. Its vaccine candidates can be deployed in a variety of vaccine delivery and manufacturing platforms. ̽��ֱ��results are reported in the journal Nature Biomedical Engineering.

Since the SARS outbreak in 2002, coronavirus ‘spillovers’ from animals to humans have been a threat to public health, and require vaccines that provide broad-based protection. “In nature, there are lots of these viruses just waiting for an accident to happen,” said Professor Jonathan Heeney from Cambridge’s Department of Veterinary Medicine, who led the research. “We wanted to come up with a vaccine that wouldn’t only protect against SARS-CoV-2, but all its relatives.”

All currently available vaccines, such as the seasonal flu vaccine and existing Covid-19 vaccines, are based on virus strains or variants that arose at some point in the past. “However, viruses are mutating and changing all the time,” said Heeney. “Current vaccines are based on a specific isolate or variant that occurred in the past, it’s possible that a new variant will have arisen by the time we get to the point that the vaccine is manufactured, tested and can be used by people.”

Heeney’s team has been developing a new approach to coronavirus vaccines, by targeting their ‘Achilles heel’. Instead of targeting just the spike proteins on the virus that change to evade our immune system, the Cambridge vaccine targets the critical regions of the virus that it needs to complete its virus life cycle. ̽��ֱ��team identifies these regions through computer simulations and selecting conserved structurally engineered antigens. “This approach allows us to have a vaccine with a broad effect that viruses will have trouble getting around,” said Heeney.

Using this approach, the team identified a unique antigen structure that gave a broad-based immune responses against different Sarbeco coronaviruses, the large group of SARS and SARS-CoV-2 related viruses that occur in nature. ̽��ֱ��optimised antigen is compatible with all vaccine delivery systems: the team administered it as a DNA immunogen (in collaboration with the ̽��ֱ�� of Regensburg), a weakened version of a virus (Modified Vaccinia Ankara, supported by ProBiogen), and as an mRNA vaccine (in collaboration with Ethris). In all cases, the optimised antigen generated a strong immune response in mice, rabbits and guinea pigs against a range of coronaviruses. Based on a strong safety profile, the "first-in-human" clinical trials are ongoing at Southampton and Cambridge NIHR Clinical Research Facilities. ̽��ֱ��last booster immunisations will conclude by the end of September.

“Unlike current vaccines that use wild-type viruses or parts of viruses that have caused trouble in the past, this technology combines lessons learned from nature’s mistakes and aims to protect us from the future,” said Heeney. “These optimised synthetic antigens generate broad immune responses, targeted to the key sites of the virus that can’t change easily. It opens the door for vaccines against viruses that we don’t yet know about. This is an exceptionally different vaccine technology – it’s a real turning point.”

̽��ֱ��research was initially funded by the DHSC UK Vaccine Network programme and later in part by the Innovate UK DIOS-CoVax programme. ̽��ֱ��DIOSynVax pipeline includes vaccine candidates for influenza viruses, haemorrhagic fever viruses, and coronaviruses including SARS-CoV-2, the latter of which is currently in clinical trials.

DIOSynVax is a spin-out company from the ̽��ֱ�� of Cambridge, established in 2017 with the support of Cambridge Enterprise, the ̽��ֱ��’s commercialisation arm. Jonathan Heeney is the Professor of Comparative Pathology at the ̽��ֱ�� of Cambridge, and a Fellow at Darwin College.

Reference:
Sneha Vishwanath et al. ‘A computationally designed antigen eliciting broad humoral responses against SARS-CoV-2 and related sarbecoviruses.’ Nature Biomedical Engineering (2023). DOI: 10.1038/s41551-023-01094-2

Studies of a ‘future-proof’ vaccine candidate have shown that just one antigen can be modified to provide a broadly protective immune response in animals. ̽��ֱ��studies suggest that a single vaccine with combinations of these antigens – a substance that causes the immune system to produce antibodies against it – could protect against an even greater range of current and future coronaviruses.

This is an exceptionally different vaccine technology – it’s a real turning point

Jonathan Heeney

Uma Shankar sharma via Getty Images

Virus mutation

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

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Could this monster help you overcome anxiety?

cjb250 — Fri, 29 Jul 2022 07:00:08 +0000

In 2017, Ninja Theory, advised by Cambridge academic Professor Paul Fletcher, took the gaming world by storm with Hellblade, which accurately depicted psychosis. Now the company has teamed up with one of Fletcher’s PhD students to see whether gaming might help improve people’s mental health.

Collaboration could enable cancer patients to get faster and more personalised treatment

cjb250 — Mon, 29 Nov 2021 00:01:15 +0000

Building on research supported by ̽��ֱ��Mark Foundation for Cancer Research and Cancer Research UK, the collaboration aims to address the problems of fragmented or siloed data and disconnected patient information, which is challenging for clinicians to manage effectively and can prevent cancer patients receiving optimal treatment.

“Thanks to ever-improving technologies, we now generate increasing amounts of complex data for each patient with cancer,” said Professor Richard Gilbertson, Director of the Cancer Research UK Cambridge Centre, and Head of the Department of Oncology at the ̽��ֱ�� of Cambridge. "These include multiple imaging scans, digital pathology, genomic data, advanced blood tests and treatment information. Bringing all this data together to make precise and informed decisions for patients can be hard. We often do this inefficiently and miss important connections between the data."

This new application would be designed using advanced software engineering and machine learning methods to integrate a variety of patient data including clinical, imaging and genomic data - from diagnosis through every stage of treatment - into one single location. ̽��ֱ��aim is to offer all medical teams involved in a patient’s cancer care - medical oncologists, clinical oncologists, surgeons, radiologists, pathologists, clinical nurse specialists and more - simultaneous access to the necessary data and information to allow the medical team to plan the best, most personalised treatment for each of their patients.

̽��ֱ��application is expected to be evaluated for ovarian cancer initially in Cambridge and the goal is to evaluate it across the UK, and beyond. Ovarian cancer is often difficult to treat as most patients present with advanced disease. Although initially 70-80% of patients will respond well to chemotherapy, ultimately most develop chemotherapy resistance leading to treatment failure. ̽��ֱ��application may help clinicians have better visibility on how the patient respond to treatment, thus helping them more effectively identify when treatment may require adjustment. If the application is successfully developed, our vision is for it to be expanded for use in breast and kidney cancer patients.

“Healthcare professionals can struggle to easily find and interpret the many different types of patient data information they need to make the best clinical decisions,” said Dr Ben Newton, GM Oncology at GE Healthcare. “Bringing these multiple data streams into a single interface could enable clinicians to make fast, informed and highly personalised treatment decisions throughout a patient’s cancer care pathway.”

Two Addenbrooke’s cancer clinicians aiming to evaluate the application to help patients are consultant oncologist Professor James Brenton, professor of Ovarian Cancer Medicine and a senior group leader at the Cancer Research UK Cambridge Institute; and consultant radiologist Professor Evis Sala, professor of Oncological Imaging, ̽��ֱ�� of Cambridge.

“Aggregating and analysing the substantial amounts of data available would help address an unmet need. Ovarian cancer is an important and complex disease with poor outcomes, and we believe this application would help us deal with its complexity. Eventually, we hope to be able to better understand the disease and therefore improve treatment and outcomes for patients,” says Professor Brenton, who co-leads the Mark Foundation Institute for Integrated Cancer Medicine (MFICM) at the ̽��ֱ�� of Cambridge.

“If we can aggregate and integrate relevant data along the care pathway, and visualize the output, it may ultimately lead to clinicians making better-informed decisions and better care.” adds Professor Sala who also co-leads the MFICM at the ̽��ֱ�� of Cambridge.

“ ̽��ֱ��team aims to transform the delivery of cancer patient care by integrating multiple data streams together into a single platform that can be accessed simultaneously by clinicians, patients and multi-disciplinary teams from tertiary and regional hospitals.”

̽��ֱ��development work will be underpinned by GE Healthcare’s Edison platform to integrate data from diverse sources, such as electronic health records and radiology information systems, imaging and other medical device data.

GE Healthcare, the ̽��ֱ�� of Cambridge and Cambridge ̽��ֱ�� Hospitals have agreed to collaborate on developing an application aiming to improve cancer care, with Cambridge providing clinical expertise and data to support GE Healthcare’s development and evaluation of an AI-enhanced application that integrates cancer patient data from multiple sources into a single interface.

Ovarian cancer is an important and complex disease with poor outcomes, and we believe this application would help us deal with its complexity

James Brenton

geralt

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Scientists identify 160 new drugs that could be repurposed against COVID-19

cjb250 — Wed, 30 Jun 2021 18:00:28 +0000

In a study published today in Science Advances, a team led by researchers at the ̽��ֱ�� of Cambridge’s Milner Therapeutics Institute and Gurdon Institute used a combination of computational biology and machine learning to create a comprehensive map of proteins that are involved in SARS-CoV-2 infection – from proteins that help the virus break into the host cell to those generated as a consequence of infection. By examining this network using artificial intelligence (AI) approaches, they were able to identify key proteins involved in infection as well as biological pathways that might be targeted by drugs.

To date, the majority of small molecule and antibody approaches for treating COVID-19 are drugs that are either currently the subject of clinical trials or have already been through clinical trials and been approved. Much of the focus has been on several key virus or host targets, or on pathways – such as inflammation – where a drug treatment could be used as an intervention.

̽��ֱ��team used computer modelling to carry out a ‘virtual screen’ of almost 2,000 approved drugs and identified 200 approved drugs that could be effective against COVID-19. Forty of these drugs have already entered clinical trials, which the researchers argue supports the approach they have taken.

When the researchers tested a subset of those drugs implicated in viral replication, they found that two in particular – an antimalarial drug and a type of medicine used to treat rheumatoid arthritis – were able to inhibit the virus, providing initial validation of their data-driven approach.

Professor Tony Kouzarides, Director of the Milner Therapeutics Institute, who led the study, said: “By looking across the board at the thousands of proteins that play some role in SARS-CoV-2 infection – whether actively or as a consequence of infections – we’ve been able to create a network uncovering the relationship between these proteins.

“We then used the latest machine learning and computer modelling techniques to identify 200 approved drugs that might help us treat COVID-19. Of these, 160 had not been linked to this infection before. This could give us many more weapons in our armoury to fight back against the virus.”

Using artificial neural network analysis, the team classified the drugs depending on the overarching role of their targets in SARS-CoV-2 infection: those that targeted viral replication and those that targeted the immune response. They then took a subset of those involved in viral replication and tested them using cell lines derived from humans and from non-human primates.

Of particular note were two drugs, sulfasalazine (used to treat conditions such as rheumatoid arthritis and Crohn’s disease) and proguanil (an antimalarial drug), which the team showed reduced SARS-CoV-2 viral replication in cells, raising the possibility of their potential use to prevent infection or to treat COVID-19.

Dr Namshik Han, Head of Computational Research and AI at the Milner Therapeutics Institute, added: “Our study has provided us with unexpected information about the mechanisms underlying COVID-19 and has provided us with some promising drugs that might be repurposed for either treating or preventing infection. While we took a data-driven approach – essentially allowing artificially intelligent algorithms to interrogate datasets – we then validated our findings in the laboratory, confirming the power of our approach.

“We hope this resource of potential drugs will accelerate the development of new drugs against COVID-19. We believe our approach will be useful for responding rapidly to new variants of SARS-CoV2 and other new pathogens that could drive future pandemics.”

̽��ֱ��research was funded by LifeArc, the LOEWE Center DRUID, the Bundesministerium für Bildung und Forschung, the European Union’s Horizon 2020 programme, Wellcome and Cancer Research UK.

Reference
Han, N, Hwang, W, Tzelepis, K, & Schmerer, P, et al. Identification of SARS-CoV-2 induced pathways reveal drug repurposing strategies. Sci Adv; 30 June 2021

Cambridge scientists have identified 200 approved drugs predicted to work against COVID-19 – of which only 40 are currently being tested in COVID-19 clinical trials.

We hope this resource of potential drugs will accelerate the development of new drugs against COVID-19. We believe our approach will be useful for responding rapidly to new variants of SARS-CoV2 and other new pathogens that could drive future pandemics

Namshik Han

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Graphical representation of COVID-19 and networks

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