Evidence map›Paper›PMID 35211307›Full record

ArticleClinical kidney journal2022

Urinary sediment CCL5 messenger RNA as a potential prognostic biomarker of diabetic nephropathy.

Song-Tao Feng, Yang Yang, Jin-Fei Yang, Yue-Ming Gao, Jing-Yuan Cao, Zuo-Lin Li, Tao-Tao Tang, Lin-Li Lv, Bin Wang, Yi Wen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. CCL5 mRNA-enriched small extracellular vesicles from renal tubular epithelial cells enhance macrophage inflammatory responses in diabetic nephropathy.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Platelets in Renal Disease.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Kidney fibrosis: from mechanisms to therapeutic medicines.Signal transduction and targeted therapy · 2023
    Review
  9. Integrated Analysis of Ferroptosis and Immunity-Related Genes Associated with Diabetic Kidney Disease.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
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

13 authors at 3 institutions in 1 country.

Song-Tao FengInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.ORCID https://orcid.org/0000-0002-7773-5406
Yang YangDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Jin-Fei YangDepartment of Nephrology, the Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Yue-Ming GaoInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.ORCID https://orcid.org/0000-0001-5640-3966
Jing-Yuan CaoInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.
Zuo-Lin LiInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.
Tao-Tao TangInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.
Lin-Li LvInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.
Bin WangInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.
Yi WenInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.
Lin SunDepartment of Nephrology, the Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Guo-Lan XingDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Bi-Cheng LiuInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, Jiangsu Province, China.ORCID https://orcid.org/0000-0002-4584-1853
Zhongda Hospital Southeast University · CNCentral South University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary sediment messenger RNAs (mRNAs) have been shown as novel biomarkers of kidney disease. We aimed to identify targeted urinary mRNAs in diabetic nephropathy (DN) based on bioinformatics analysis and clinical validation.

methodsMicroarray studies of DN were searched in the GEO database and Nephroseq platform. Gene modules negatively correlated with estimated glomerular filtration rate (eGFR) were identified by informatics methods. Hub genes were screened within the selected modules. In validation cohorts, a quantitative polymerase chain reaction assay was used to compare the expression levels of candidate mRNAs. Patients with renal biopsy-confirmed DN were then followed up for a median time of 21 months. End-stage renal disease (ESRD) was defined as the primary endpoint. Multivariate Cox proportional hazards regression was developed to evaluate the prognostic values of candidate mRNAs.

resultsBioinformatics analysis revealed four chemokines (CCL5, CXCL1, CXLC6 and CXCL12) as candidate mRNAs negatively correlated with eGFR, of which CCL5 and CXCL1 mRNA levels were upregulated in the urinary sediment of patients with DN. In addition, urinary sediment mRNA of CXCL1 was negatively correlated with eGFR (

conclusionsUrinary sediment CCL5 and CXCL1 mRNAs were upregulated in DN patients and associated with a decline in renal function and degree of renal interstitial fibrosis. Urinary sediment CCL5 mRNA could be used as a potential prognostic biomarker of DN.

Indexed as

chemokinesdiabetic nephropathiesend-stage renal diseasegene regulatory networksglomerular filtration rateprognosis

Identifiers

PMID35211307
PMCPMC8862108
OpenAlexW3201802228

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.