Evidence map›Paper›PMID 36093350›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection.

Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Ryan Thompson, Diane Marie Del Valle, Ephraim Kenigsberg, Shan Zhao, Suraj Jaladanki and 33 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

43 authors at 7 institutions in 5 countries.

Ishan ParanjpeThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pushkala JayaramanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Chen-Yang SuLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada.
Sirui ZhouLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada.
Steven ChenThe Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ryan ThompsonThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Diane Marie Del ValleThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ephraim KenigsbergDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Shan ZhaoDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Suraj JaladankiThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kumardeep ChaudharyThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Steven AscolilloThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Akhil VaidThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Arvind KumarThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Edgar KozlovaThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Manish ParanjpeDivision of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.
Ross O'HaganThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Samir KamatThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Faris F GulamaliThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Justin KauffmanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Hui XieHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Joceyln HarrisHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Manishkumar PatelHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kimberly ArguetaHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Craig BatchelorHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kai NieHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sergio DellepianeDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Leisha ScottHuman Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Matthew A LevinThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John Cijiang HeDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Mayte Suarez-FarinasDepartment of Biostatistics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Steven G CocaDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Lili ChanDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Evren U AzelogluDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Eric SchadtDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Noam BeckmannThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sacha GnjaticDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Miram MeradThe Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Seunghee Kim-SchulzeThe Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Brent RichardsLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada.
Benjamin S GlicksbergThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alexander W CharneyThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Girish N NadkarniThe Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USThe Mount · GBHasso Plattner Institute · DEJewish General Hospital · CAHarvard University · USKing's College London · GBUniversity of California, San Francisco · US

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
High-Dimensional Immune Monitoring of NCI-Supported Immunotherapy TrialsU24CA224319 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sacha Gnjatic, Seunghee Kim-Schulze · 2017 to 2026
$21.5M
Prediction of Major Adverse Kidney Events and Recovery (Pred-MAKER) in COVID-19 PatientsR01DK118222 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Evren U. AZELOGLU · 2018 to 2026
$4.3M
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk GenotypesR01DK127139 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NADKARNI, GIRISH NITIN · 2021 to 2025
$4.0M
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individualsR01HL155915 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON, NADKARNI, GIRISH NITIN · 2021 to 2024
$3.4M
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement TherapyR56DK126930 · NIDDK · UNIVERSITY OF KENTUCKY · PI NADKARNI, GIRISH NITIN, NEYRA, JAVIER A. · 2020 to 2020
$100k
NCATS NIH HHS UL1 TR004419NCI NIH HHS U24 CA224319NHLBI NIH HHS R01 HL155915NIDDK NIH HHS R01 DK118222NIDDK NIH HHS R01 DK127139NIDDK NIH HHS R56 DK126930
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a known complication of COVID-19 and is associated with an increased risk of in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved risk stratification and discover pathophysiological mechanisms. Using measurements of ∼4000 plasma proteins in two cohorts of patients hospitalized with COVID-19, we discovered and validated markers of COVID-associated AKI (stage 2 or 3) and long-term kidney dysfunction. In the discovery cohort (N= 437), we identified 413 higher plasma abundances of protein targets and 40 lower plasma abundances of protein targets associated with COVID-AKI (adjusted p <0.05). Of these, 62 proteins were validated in an external cohort (p <0.05, N =261). We demonstrate that COVID-AKI is associated with increased markers of tubular injury (NGAL) and myocardial injury. Using estimated glomerular filtration (eGFR) measurements taken after discharge, we also find that 25 of the 62 AKI-associated proteins are significantly associated with decreased post-discharge eGFR (adjusted p <0.05). Proteins most strongly associated with decreased post-discharge eGFR included desmocollin-2, trefoil factor 3, transmembrane emp24 domain-containing protein 10, and cystatin-C indicating tubular dysfunction and injury. Using clinical and proteomic data, our results suggest that while both acute and long-term COVID-associated kidney dysfunction are associated with markers of tubular dysfunction, AKI is driven by a largely multifactorial process involving hemodynamic instability and myocardial damage.

Identifiers

PMID36093350
PMCPMC9460972
OpenAlexW4200302489

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.