Evidence map›Paper›PMID 38091407›Full record

ArticleScience translational medicine2023

Analysis of the human kidney transcriptome and plasma proteome identifies markers of proximal tubule maladaptation to injury.

Yumeng Wen, Emily Su, Leyuan Xu, Steven Menez, Dennis G Moledina, Wassim Obeid, Paul M Palevsky, Sherry G Mansour, Prasad Devarajan, Lloyd G Cantley and 4 more

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Spatial Atlas Creation at the Single Cell Level: Unveiling the Human Kidney Metaverse.Clinical journal of the American Society of Nephrology : CJASN · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Yumeng WenDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0002-1392-6369
Emily SuDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0002-9098-6541
Leyuan XuSection of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.ORCID 0000-0002-3071-9206
Steven MenezDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0003-2490-025X
Dennis G MoledinaSection of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.ORCID 0000-0002-9537-9038
Wassim ObeidDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0002-6054-411X
Paul M PalevskyRenal-Electrolyte Division, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID 0000-0002-7334-5400
Sherry G MansourSection of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.
Prasad DevarajanDivision of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.ORCID 0000-0002-7847-8552
Lloyd G CantleySection of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.
Patrick CahanDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0003-3652-2540
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0001-9051-7385
Kidney Precision Medicine Project
Translational Investigation of Biomarker Endpoint of Acute Kidney Injury
Johns Hopkins University · USYale University · USCincinnati Children's Hospital Medical Center · USUniversity of Pittsburgh · US

Funding

Central Hub for Kidney Precision MedicineU24DK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$21.1M
KPMP Kidney Mapping and Atlas Project (KMAP)U01DK133090 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$10.4M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Integrated spatial interrogation of cellular and molecular signatures of human kidney diseaseU01DK114923 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Tarek Maurice Ashkar, Pierre C Dagher · 2022 to 2026
$5.4M
Single cell multiomic and spatial atlas of acute and chronic kidney injuryU01DK114933 · NIDDK · WASHINGTON UNIVERSITY · PI Sanjay Jain · 2022 to 2026
$5.0M
Macrophage Function in Kidney RepairR01DK093771 · NIDDK · YALE UNIVERSITY · PI LLOYD G CANTLEY · 2012 to 2026
$3.9M
Spatial Multi-Omics to Profile Metabolic Pathways for Kidney DiseaseU01DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Christopher R Anderton, Kumar Sharma · 2022 to 2026
$3.9M
Boston Chronic Kidney Disease Research Biopsy CenterU01DK133092 · NIDDK · BOSTON MEDICAL CENTER · PI Sylvia E Rosas, Sushrut S. Waikar · 2022 to 2026
$3.5M
Multimodal Imaging Mass Spectrometry and Spatial Omics for the Human KidneyU01DK133766 · NIDDK · VANDERBILT UNIVERSITY · PI Jeffrey M Spraggins · 2022 to 2026
$3.4M
PREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)U01DK114907 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Nir Hacohen, Jeffrey Benton Hodgin · 2022 to 2026
$3.2M
University of Illinois at Chicago KPMP CKD Recruitment SiteU01DK133081 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI JAMES P. LASH, Ana Catherine Ricardo · 2022 to 2026
$2.7M
AKI Matched Phenotype Linked Evaluation with Tissue (AMPLE-Tissue)U01DK114866 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Chirag R Parikh · 2022 to 2026
$2.6M
NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K01 DK120783NIDDK NIH HHS R01 DK093771NIDDK NIH HHS R01 DK126815NIDDK NIH HHS U01 DK114866NIDDK NIH HHS U01 DK114907NIDDK NIH HHS U01 DK114908NIDDK NIH HHS U01 DK114920NIDDK NIH HHS U01 DK114923NIDDK NIH HHS U01 DK114933NIDDK NIH HHS U01 DK133081NIDDK NIH HHS U01 DK133090NIDDK NIH HHS U01 DK133091NIDDK NIH HHS U01 DK133092NIDDK NIH HHS U01 DK133093NIDDK NIH HHS U01 DK133095NIDDK NIH HHS U01 DK133097NIDDK NIH HHS U01 DK133113NIDDK NIH HHS U01 DK133766NIDDK NIH HHS U01 DK133768NIDDK NIH HHS U24 DK114886NIDDK NIH HHS UH3 DK114861NIDDK NIH HHS UH3 DK114866
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a major risk factor for long-term adverse outcomes, including chronic kidney disease. In mouse models of AKI, maladaptive repair of the injured proximal tubule (PT) prevents complete tissue recovery. However, evidence for PT maladaptation and its etiological relationship with complications of AKI is lacking in humans. We performed single-nucleus RNA sequencing of 120,985 nuclei in kidneys from 17 participants with AKI and seven healthy controls from the Kidney Precision Medicine Project. Maladaptive PT cells, which exhibited transcriptomic features of dedifferentiation and enrichment in pro-inflammatory and profibrotic pathways, were present in participants with AKI of diverse etiologies. To develop plasma markers of PT maladaptation, we analyzed the plasma proteome in two independent cohorts of patients undergoing cardiac surgery and a cohort of marathon runners, linked it to the transcriptomic signatures associated with maladaptive PT, and identified nine proteins whose genes were specifically up- or down-regulated by maladaptive PT. After cardiac surgery, both cohorts of patients had increased transforming growth factor-β2 (TGFB2), collagen type XXIII-α1 (COL23A1), and X-linked neuroligin 4 (NLGN4X) and had decreased plasminogen (PLG), ectonucleotide pyrophosphatase/phosphodiesterase 6 (ENPP6), and protein C (PROC). Similar changes were observed in marathon runners with exercise-associated kidney injury. Postoperative changes in these markers were associated with AKI progression in adults after cardiac surgery and post-AKI kidney atrophy in mouse models of ischemia-reperfusion injury and toxic injury. Our results demonstrate the feasibility of a multiomics approach to discovering noninvasive markers and associating PT maladaptation with adverse clinical outcomes.

Indexed as

Acute Kidney InjuryReperfusion InjuryAdultAnimalsDisease Models, AnimalHumansKidneyKidney Tubules, ProximalMiceProteomeTranscriptomeProteome

Identifiers

PMID38091407
PMCPMC11405121
OpenAlexW4389668548

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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.