Evidence map›Paper›PMID 37949939›Full record

ArticleScientific reports2023

Identifying key genes related to the peritubular capillary rarefaction in renal interstitial fibrosis by bioinformatics.

Yu Zhang, Chuanbing Shi, Yiqiong Yang, Xiuxiu Hu, Haifeng Ni, Li Li, Zhengyuan Cheng, Jing Huang, Pingsheng Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

9 authors at 3 institutions in 2 countries.

Yu ZhangDepartment of Pathology, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Chuanbing ShiDepartment of Pathology, Pukou Branch of Jiangsu People's Hospital, Nanjing, Jiangsu, China.
Yiqiong YangDepartment of Pathology, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Xiuxiu HuDepartment of Pathology, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Haifeng NiInstitute of Nephrology, Zhong Da Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Li LiDepartment of Pathology, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Zhengyuan ChengDepartment of Internal Medicine, Ma'anshan People's Hospital Affiliated to Medical School of Southeast University, Ma'anshan, Anhui, China.
Jing HuangDepartment of Respiratory and Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Pingsheng ChenDepartment of Pathology, School of Medicine, Southeast University, Nanjing, Jiangsu, China. 101006254@seu.edu.cn.
Southeast University · CNZhongda Hospital Southeast University · CNGovernment of Jiangsu Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal interstitial fibrosis (RIF) is a key feature of progressive chronic kidney disease (CKD), characterized by tubular epithelial cell (TEC) hypoxia and peritubular capillary (PTC) rarefaction. However, the mechanisms underlying these processes remain poorly understood. To address this knowledge gap, we conducted a comparative transcriptome analysis of hypoxic and normoxic HK-2 cells, identifying 572 differentially expressed genes (DEGs). Subsequent Gene Ontology (GO), protein‒protein interaction (PPI) network, and hub gene analyses revealed significant enrichment of DEGs in the HIF-1 signaling pathway based on KEGG enrichment analysis. To further explore TEC modulation under hypoxic conditions, we performed chromatin immunoprecipitation (ChIP) sequencing targeting HIF-1α, identifying 2915 genes potentially regulated by HIF-1α. By comparing RNA sequencing and ChIP sequencing data, we identified 43 overlapping DEGs. By performing GO analysis and peak annotation with IGV, we identified two candidate molecules, VEGFA and BTG1, that are associated with angiogenesis and whose gene sequences were reliably bound by HIF-1α. Our study elucidates the molecular mechanisms underlying RIF, providing valuable insights for potential therapeutic interventions.

Indexed as

Microvascular RarefactionComputational BiologyFibrosisGene Expression ProfilingHumansHypoxiaProtein Interaction Maps

Identifiers

PMID37949939
PMCPMC10638415
OpenAlexW4388567095

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.