Evidence map›Paper›PMID 35222545›Full record

ArticleFrontiers in genetics2022

Identification of CCL19 as a Novel Immune-Related Biomarker in Diabetic Nephropathy.

Hanzhi Chen, Zhijian Zhang, Leting Zhou, Ting Cai, Bin Liu, Liang Wang, Junwei Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Hanzhi ChenCenter for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhijian ZhangDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Leting ZhouDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Ting CaiDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Bin LiuDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Liang WangDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Junwei YangCenter for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wuxi People's Hospital · CNSecond Affiliated Hospital of Nanjing Medical University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is one of the major microvascular complications in diabetic patients and the leading cause of end-stage renal disease (ESRD). Previous studies found that immune-related genes and immune cell infiltration play important roles in the pathogenesis and development of DN. Therefore, this study aimed to explore immune-related biomarkers in DN. In this research, three microarray datasets that included 18 DN and 28 healthy tubule samples were downloaded and integrated as the training set to identify differentially expressed immune-related genes (DEIGs). A total of 63 DEIGs were identified, and most upregulated DEIGs were primarily involved in the inflammatory response and chemokine-mediated signaling pathways. The Microenvironment Cell Populations-counter (MCP-counter) algorithm was then used to estimate the abundance of infiltrated immune and stromal cell populations. According to DEIG, weighted gene coexpression network and protein-protein network analyses, CCL19 was identified as the hub immune-related biomarker. Moreover, the upregulated level of CCL19 was confirmed in other independent datasets as well as in

Indexed as

bioinformaticsbiomarkerCCL19diabetic nephropathyimmune cell

Identifiers

PMID35222545
PMCPMC8864156
OpenAlexW4210863491

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.