Evidence map›Paper›PMID 37882850›Full record

ArticleClinical and experimental nephrology2024

Landscape of infiltrating immune cells and related genes in diabetic kidney disease.

Jiao Wang, Wen Chen, Shen Chen, Guanru Yue, Ying Hu, Jixiong Xu

Abstract read
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In one paragraph

Article in Clinical and experimental nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Jiao Wang *Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng St., Nanchang, Nanchang, 330006, Jiangxi, People's Republic of China.
Wen Chen *Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng St., Nanchang, Nanchang, 330006, Jiangxi, People's Republic of China.
Shen Chen *Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng St., Nanchang, Nanchang, 330006, Jiangxi, People's Republic of China.
Guanru YueDepartment of Medical Genetics and Cell biology, Medical College of Nanchang University, Nanchang, 330006, People's Republic of China.
Ying HuDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng St., Nanchang, Nanchang, 330006, Jiangxi, People's Republic of China.
Jixiong XuDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng St., Nanchang, Nanchang, 330006, Jiangxi, People's Republic of China. jixiong.xu@ncu.edu.cn.
Nanchang University · CN

Funding

Jiangxi Provincial Key R&D Plan S2020ZPYFB1066
6 · The paper itself

Abstract

introductionDiabetic kidney disease (DKD) is one of the prominent microvascular complications of diabetes and the leading cause of end-stage renal disease. Inflammation plays a crucial role in the development and progression of DKD. Currently, only a few studies depict the landscape of infiltrating immune cells and their potential regulatory network in DKD. To gain a better understanding of the role of immune cells in the renal microenvironment, we sought to reveal the profile of infiltrating immune cells and their potential regulatory network in DKD.

methodsWe obtained the transcriptomes and the corresponding clinical data of 19 DKD and 25 control samples from the Gene Expression Omnibus and Nephroseq databases, respectively. Thereafter, we conducted an analysis on the infiltrating immune cells and identified immune-related differentially expressed genes through bioinformatics. Finally, correlation analyses among immune cells, immune genes, and clinical manifestations were performed, and differentially infiltrating immune cell subsets were verified through multiplex immunofluorescence staining.

resultsWe demonstrated the landscape of infiltrating immune cells in patients with DKD and identified the top five hub immune regulatory genes (C3, IL7R, TYROBP, BMP2, and CXCL6). Three of the core genes (C3, BMP2, and CXCL6) were significantly correlated with the estimated glomerular filtration rate. Through multiplex immunofluorescence staining, we verified that macrophage numbers were remarkably elevated, whereas Treg cells were remarkably reduced in diabetic kidney tissues. Th2 cells were scarce in the kidney tissue.

conclusionCollectively, our findings shed light on new, possible therapeutic strategies for DKD, from an immune microenvironment perspective.

Indexed as

Diabetes MellitusDiabetic NephropathiesKidney Failure, ChronicComputational BiologyGlomerular Filtration RateHumansKidneyDiabetic kidney diseaseImmune microenvironmentImmune-related genesInfiltrating immune cellsNetwork correlation

Identifiers

PMID37882850
OpenAlexW4387949284

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.