Evidence map›Paper›PMID 35132422›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Biologic correlates of beneficial convalescent plasma therapy in a COVID-19 patient reveal disease resolution mechanisms.

Natalie Bruiners, Valentina Guerrini, Rahul Ukey, Ryan Dikdan, Jason Yang, Pankaj Kumar Mishra, Alberta Onyuka, Deborah Handler, Joshua Vieth, Mary Carayannopulos and 8 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 1 institution in 1 country.

Natalie BruinersPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Valentina GuerriniPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Rahul UkeyPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Ryan DikdanPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Jason YangDepartment of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ 07103.
Pankaj Kumar MishraPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Alberta OnyukaGlobal Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Deborah HandlerGlobal Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Joshua ViethCancer Institute of New Jersey, Rutgers University, New Brunswick, NJ 08903.
Mary CarayannopulosDepartment of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Shuang GuoDivision of Hematology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Maressa PollenDepartment of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Abraham PinterPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Sanjay TyagiPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Daniel FeingoldDepartment of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Claire PhilippDivision of Hematology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Steven LibuttiCancer Institute of New Jersey, Rutgers University, New Brunswick, NJ 08903.
Maria Laura GennaroPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ 07103.
Rutgers, The State University of New Jersey · US

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
Microbial, immune, metabolic perturbations by antibiotics (MIME study)U01AI122285 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI MARTIN J BLASER, Steven M Holland · 2016 to 2026
$5.2M
Foam cells as drug targets in tuberculosisR01HL149450 · NHLBI · RBHS-NEW JERSEY MEDICAL SCHOOL · PI GENNARO, MARIA LAURA, KARAKOUSIS, PETROS C · 2019 to 2022
$3.9M
Cohort and biomarkers for COVID-19 severity, natural history, and reinfectionR01AI158911 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI BARRETT, EMILY S, BLASER, MARTIN J · 2021 to 2023
$2.6M
COVID-19 Network of Networks Expanding Clinical and Translational approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)R61HD105619 · NICHD · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI GENNARO, MARIA LAURA, HORTON, DANIEL BENJAMIN · 2021 to 2022
$1.6M
An Orbitrap Tribrid mass spectrometer and nanoflow LC system to upgrade the proteomics facility at Rutgers-New Brunswick and Robert Wood Johnson Medical SchoolS10OD025140 · OD · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI LOBEL, PETER · 2019 to 2019
$921k
Effects of Host Metabolic Variation on Antibiotic SusceptibilityR00GM118907 · NIGMS · RBHS-NEW JERSEY MEDICAL SCHOOL · PI YANG, JASON HUNG-YING · 2020 to 2022
$747k
NCATS NIH HHS UL1 TR003017NHLBI NIH HHS R01 HL149450NIAID NIH HHS R01 AI158911NIAID NIH HHS U01 AI122285NICHD NIH HHS R61 HD105619NIGMS NIH HHS R00 GM118907NIH HHS S10 OD025140
6 · The paper itself

Abstract

backgroundWhile the biomarkers of COVID-19 severity have been thoroughly investigated, the key biological dynamics associated with COVID-19 resolution are still insufficiently understood. MAIN BODY: We report a case of full resolution of severe COVID-19 due to convalescent plasma transfusion in a patient with underlying multiple autoimmune syndrome. Following transfusion, the patient showed fever remission, improved respiratory status, and rapidly decreased viral burden in respiratory fluids and SARS-CoV-2 RNAemia. Longitudinal unbiased proteomic analysis of plasma and single-cell transcriptomics of peripheral blood cells conducted prior to and at multiple times after convalescent plasma transfusion identified the key biological processes associated with the transition from severe disease to disease-free state. These included (i) temporally ordered upward and downward changes in plasma proteins reestablishing homeostasis and (ii) post-transfusion disappearance of a particular subset of dysfunctional monocytes characterized by hyperactivated Interferon responses and decreased TNF-α signaling.

conclusionsMonitoring specific subsets of innate immune cells in peripheral blood may provide prognostic keys in severe COVID-19. Moreover, understanding disease resolution at the molecular and cellular level should contribute to identify targets of therapeutic interventions against severe COVID-19.

Identifiers

PMID35132422
PMCPMC8820674
OpenAlexW4210304823

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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.