Evidence map›Paper›PMID 32747830›Full record

Observational studyNature medicine2020

Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection.

Vijendra Ramlall, Phyllis M Thangaraj, Cem Meydan, Jonathan Foox, Daniel Butler, Jacob Kim, Ben May, Jessica K De Freitas, Benjamin S Glicksberg, Christopher E Mason and 2 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Nature medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed, 9 pooled it
7.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

217 citing papers in PubMed, 9 syntheses or guidelines pooled it, 358 citations in OpenAlex.

  1. Mucosal immune response in biology, disease prevention and treatment.Signal transduction and targeted therapy · 2025
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157 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Vijendra RamlallDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Phyllis M ThangarajDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Cem MeydanThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Jonathan FooxThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Daniel ButlerThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-3687-8419
Jacob KimDepartment of Systems Biology, Columbia University, New York, NY, USA.
Ben MayHerbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
Jessica K De FreitasDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Benjamin S GlicksbergDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-4515-8090
Christopher E MasonThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-1850-1642
Nicholas P TatonettiDepartment of Biomedical Informatics, Columbia University, New York, NY, USA. nick.tatonetti@columbia.edu.ORCID http://orcid.org/0000-0002-2700-2597
Sagi D ShapiraDepartment of Systems Biology, Columbia University, New York, NY, USA. ss4197@columbia.edu.ORCID http://orcid.org/0000-0002-5425-3682
Columbia University · USCornell University · USIcahn School of Medicine at Mount Sinai · USColumbia University Irving Medical Center · US

Funding

Systematic pharmacological targeting of the core mechanisms responsible for maintaining cancer cell stateU54CA209997 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA, HONIG, BARRY H · 2016 to 2021
$10.9M
Training in Cardiovascular Translational ResearchT32HL120826 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARKS, ANDREW ROBERT, TABAS, IRA A · 2014 to 2023
$4.7M
Metagenomic profiling of urinary cell-free DNA to monitor urinary tract infection after kidney transplantationR01AI151059 · NIAID · CORNELL UNIVERSITY · PI DADHANIA, DARSHANA, DE VLAMINCK, IWIJN · 2020 to 2024
$3.4M
The Spatiotemporal Landscape of the Human Brain EpitranscriptomeR01MH117406 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASON, CHRISTOPHER EDWARD · 2018 to 2022
$3.3M
Precision Pharmacology and Pharmacovigilance: Leveraging AI to address drug safety knowledge gapsR35GM131905 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Nicholas P Tatonetti · 2019 to 2026
$3.3M
Quantitative Studies of influenza EvolutionR01GM109018 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAPIRA, SAGI · 2014 to 2019
$2.6M
High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
Mapping the RNA modification N6-methyladenosine during Zika virus infectionR21AI129851 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI HORNER, STACY MICHELLE, MASON, CHRISTOPHER EDWARD · 2017 to 2018
$469k
Leveraging experimental and computational tools to define molecular functions of non-coding RNAs in innate immune responses to viral infectionR21AI147201 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAPIRA, SAGI · 2019 to 2020
$466k
Data-driven subtyping to find patients with drug interactions leading to strokeF30HL140946 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI THANGARAJ, PHYLLIS MARY · 2018 to 2020
$145k
NASA NNX14AH50GNASA NNX17AB26GNCI NIH HHS U54 CA209997NHLBI NIH HHS F30 HL140946NHLBI NIH HHS T32 HL120826NIAID NIH HHS R01 AI151059NIAID NIH HHS R21 AI129851NIAID NIH HHS R21 AI147201NIGMS NIH HHS R01 GM109018NIGMS NIH HHS R35 GM131905NIH HHS S10 OD012351NIH HHS S10 OD021764NIMH NIH HHS R01 MH117406U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5R01GM109018U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5U54CA209997U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) F30HL140946U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R21AI147201U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER) R01AI151059U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER) R01MH117406U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER) R21AI129851U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER) R35GM131905
6 · The paper itself

Abstract

Understanding the pathophysiology of SARS-CoV-2 infection is critical for therapeutic and public health strategies. Viral-host interactions can guide discovery of disease regulators, and protein structure function analysis points to several immune pathways, including complement and coagulation, as targets of coronaviruses. To determine whether conditions associated with dysregulated complement or coagulation systems impact disease, we performed a retrospective observational study and found that history of macular degeneration (a proxy for complement-activation disorders) and history of coagulation disorders (thrombocytopenia, thrombosis and hemorrhage) are risk factors for SARS-CoV-2-associated morbidity and mortality-effects that are independent of age, sex or history of smoking. Transcriptional profiling of nasopharyngeal swabs demonstrated that in addition to type-I interferon and interleukin-6-dependent inflammatory responses, infection results in robust engagement of the complement and coagulation pathways. Finally, in a candidate-driven genetic association study of severe SARS-CoV-2 disease, we identified putative complement and coagulation-associated loci including missense, eQTL and sQTL variants of critical complement and coagulation regulators. In addition to providing evidence that complement function modulates SARS-CoV-2 infection outcome, the data point to putative transcriptional genetic markers of susceptibility. The results highlight the value of using a multimodal analytical approach to reveal determinants and predictors of immunity, susceptibility and clinical outcome associated with infection.

Indexed as

AdultAgedAged, 80 and overAge FactorsBetacoronavirusBlood CoagulationBlood Coagulation DisordersComplement ActivationCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleGene ExpressionHemorrhageHereditary Complement Deficiency DiseasesHumans

Identifiers

PMID32747830
PMCPMC7809634
OpenAlexW3047564875

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.