Evidence map›Paper›PMID 30846559›Full record

ArticleJournal of the American Society of Nephrology : JASN2019

Single-Cell RNA Profiling of Glomerular Cells Shows Dynamic Changes in Experimental Diabetic Kidney Disease.

Jia Fu, Kemal M Akat, Zeguo Sun, Weijia Zhang, Detlef Schlondorff, Zhihong Liu, Thomas Tuschl, Kyung Lee, John Cijiang He

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed
8.3field-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

148 citing papers in PubMed, 211 citations in OpenAlex.

  1. Association of Neutrophil Percentage-to-Albumin Ratio (NPAR) With Pathological Features and Long-Term Prognosis in Diabetic Kidney Disease: A Cohort Study.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  9. Molecular Mechanisms of APOL1-Associated Kidney Disease.International journal of molecular sciences · 2026
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88 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Jia FuDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Kemal M AkatLaboratory of RNA Molecular Biology, The Rockefeller University, New York, New York; and.
Zeguo SunDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Weijia ZhangDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Detlef SchlondorffDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Zhihong LiuNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Thomas TuschlLaboratory of RNA Molecular Biology, The Rockefeller University, New York, New York; and.
Kyung LeeDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; cijiang.he@mssm.edu kim.lee@mssm.edu.
John Cijiang HeDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; cijiang.he@mssm.edu kim.lee@mssm.edu.
Icahn School of Medicine at Mount Sinai · USRockefeller University · USJames J. Peters VA Medical Center · USNanjing General Hospital of Nanjing Military Command · CNNanjing University · CN

Funding

VIRAL PATHOGENESIS OF HIV ASSOCIATED NEPHROPATHYP01DK056492 · NIDDK · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HE, JOHN CIJIANG · 1999 to 2021
$27.8M
Role of HIPK2 in Kidney Tubulointerstitial InjuryR01DK088541 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HE, JOHN CIJIANG · 2010 to 2019
$4.0M
Cellular and molecular mechanisms of retinoids in podocytesR01DK078897 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HE, JOHN CIJIANG · 2007 to 2018
$3.6M
The Role of LRG1 in Diabetic Kidney DiseaseR01DK117913 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Bhaskar Chandra Das, Kyung Lee · 2018 to 2026
$2.6M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NIDDK NIH HHS P01 DK056492NIDDK NIH HHS R01 DK078897NIDDK NIH HHS R01 DK088541NIDDK NIH HHS R01 DK117913NIH HHS S10 OD018522
6 · The paper itself

Abstract

backgroundRecent single-cell RNA sequencing (scRNA-seq) analyses have offered much insight into cell-specific gene expression profiles in normal kidneys. However, in diseased kidneys, understanding of changes in specific cells, particularly glomerular cells, remains limited.

methodsTo elucidate the glomerular cell-specific gene expression changes in diabetic kidney disease, we performed scRNA-seq analysis of isolated glomerular cells from streptozotocin-induced diabetic endothelial nitric oxide synthase (eNOS)-deficient (eNOS

resultsWe identified five distinct cell populations, including glomerular endothelial cells, mesangial cells, podocytes, immune cells, and tubular cells. Using scRNA-seq analysis, we confirmed the expression of glomerular cell-specific markers and also identified several new potential markers of glomerular cells. The number of immune cells was significantly higher in diabetic glomeruli compared with control glomeruli, and further cluster analysis showed that these immune cells were predominantly macrophages. Analysis of differential gene expression in endothelial and mesangial cells of diabetic and control mice showed dynamic changes in the pattern of expressed genes, many of which are known to be involved in diabetic kidney disease. Moreover, gene expression analysis showed variable responses of individual cells to diabetic injury.

conclusionsOur findings demonstrate the ability of scRNA-seq analysis in isolated glomerular cells from diabetic and control mice to reveal dynamic changes in gene expression in diabetic kidneys, with variable responses of individual cells. Such changes, which might not be apparent in bulk transcriptomic analysis of glomerular cells, may help identify important pathophysiologic factors contributing to the progression of diabetic kidney disease.

Indexed as

TranscriptomeAnimalsDiabetes Mellitus, ExperimentalDiabetic NephropathiesEndothelial CellsKidney GlomerulusKidney TubulesMacrophagesMesangial CellsMicePodocytesRNA, Small CytoplasmicSequence Analysis, RNASingle-Cell AnalysisRNA, Small Cytoplasmicdiabetic nephropathyglomerular endothelial cellsglomerulusmacrophagesmesangial cellstranscriptional profiling

Identifiers

PMID30846559
PMCPMC6442341
OpenAlexW2922291289

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.