Virus World

Given the accelerated rate at which trial information and findings are emerging, an urgent need exists to track clinical trials, avoid unnecessary duplication of efforts, and understand what trials are being done and where. In response, we have developed a COVID-19 clinical trials registry to collate all trials.

Data are pulled from the International Clinical Trials Registry Platform, including those from the Chinese Clinical Trial Registry, ClinicalTrials.gov, Clinical Research Information Service - Republic of Korea, EU Clinical Trials Register, ISRCTN, Iranian Registry of Clinical Trials, Japan Primary Registries Network, and German Clinical Trials Register. Both automated and manual searches are done to ensure minimisation of duplicated entries and for appropriateness to the research questions. Identified studies are then manually reviewed by two separate reviewers before being entered into the registry.

Concurrently, we have developed artificial intelligence (AI)-based methods for data searches to identify potential clinical studies not captured in trial registries. These methods provide estimates of the likelihood of importance of a study being included in our database, such that the study can then be reviewed manually for inclusion. Use of AI-based methods saves 50–80% of the time required to manually review all entries without loss of accuracy.  Finally, we will use content aggregator services, such as LitCovid, to ensure our data acquisition strategy is complete. With this three-step process, the probability of missing important publications is greatly diminished and so the resulting data are representative of global COVID-19 research efforts.

Published in The Lancet (April 24, 2020)

https://doi.org/10.1016/S2589-7500(20)30086-8

Clinical Trial Registry Site:

https://www.covid-trials.org/

For the first time, Harvard researchers have captured images of individual viruses forming, offering a real-time view into the kinetics of viral assembly. 

The research is published in the Proceedings of the National Academy of Sciences. “Structural biology has been able to resolve the structure of viruses with amazing resolution, down to every atom in every protein,” said Vinothan Manoharan, the Wagner Family Professor of Chemical Engineering and Professor of Physics at the Harvard John A. Paulson School of Engineering and Applied Sciences. “But we still didn’t know how that structure assembles itself. Our technique gives the first window into how viruses assemble and reveals the kinetics and pathways in quantitative detail.”

Manoharan is also co-director of the Quantitative Biology Initiative, a cross-Harvard effort that brings together biology, novel measurement techniques, statistics, and mathematics to develop causal, predictive mathematical models of biological systems. Manoharan and his team focused on single-stranded RNA viruses, the most abundant type of virus on the planet. In humans, RNA viruses are responsible for, among others, West Nile fever, gastroenteritis, polio, the common cold, and hand, foot, and mouth disease.

These viruses tend to be very simple. The virus Manoharan and his team studied, which infects E. coli bacteria, is about 30 nanometers in diameter and has one piece of RNA, with about 3,600 nucleotides and 180 identical proteins. The proteins arrange themselves into hexagons and pentagons to form a soccer-ball-like structure around the RNA, called a capsid. How those proteins manage to form that structure is the central question in virus assembly. Until now, no one had been able to observe viral assembly in real time because viruses and their components are very small and their interactions are very weak.

To observe the viruses, the researchers used an optical technique known as interferometric scattering microscopy, in which the light scattered off an object creates a dark spot in a larger field of light. The technique doesn’t reveal the virus’ structure but it does reveal its size and how that changes with time. The researchers attached viral RNA strands to a substrate, like stems of a flower, and flowed proteins over the surface. Then, using the interferometric microscope, they watched as dark spots appeared and grew steadily darker until they were the size of full-grown viruses. By recording intensities of those growing spots, the researchers could actually determine how many proteins were attaching to each RNA strand over time.  “One thing we noticed immediately is that the intensity of all the spots started low and then shot up to the intensity of a full virus,” Manoharan said. “That shooting up happened at different times. Some capsids assembled in under a minute, some took two or three, and some took more than five. But once they started assembling, they didn’t backtrack. They grew and grew and then they were done.”

Published in P.N.A.S on  September 30, 2019:

https://doi.org/10.1073/pnas.1909223116