Evidence map›Paper›PMID 35226336›Full record

ArticleJournal of endocrinological investigation2022

Potential biomarkers in the fibrosis progression of nonalcoholic steatohepatitis (NASH).

Z Wang, Z Zhao, Y Xia, Z Cai, C Wang, Y Shen, R Liu, H Qin, J Jia, G Yuan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 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
2.5field-weighted citation impact, top 11% 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, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Identifying the Crucial Biomarker of MASH-Related HCC.Combinatorial chemistry & high throughput screening · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

10 authors at 1 institution in 1 country.

Z Wang *Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
Z Zhao *Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
Y Xia *Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
Z CaiDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
C WangDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
Y ShenDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
R LiuDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
H QinDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
J JiaDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China. xibeizijj@aliyun.com.
G YuanDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China. yuanguoyue@ujs.edu.cn.ORCID http://orcid.org/0000-0003-0822-6066
Jiangsu University · CN

Funding

Jiangsu Provincial Medical Youth Talent QNRC2016842National Natural Science Foundation of China 81570721National Natural Science Foundation of China 81870548Natural Science Foundation of Jiangsu Province BK20191222Social Development Project of Jiangsu Province BE2018692
6 · The paper itself

Abstract

purposeFibrosis is the only histological feature reflecting the severity and prognosis of nonalcoholic steatohepatitis (NASH). We aim to explore novel genes associated with fibrosis progression in NASH.

methodsTwo human RNA-seq datasets were downloaded from the public database. Weighted gene co-expression network analysis (WGCNA) was used to identify their co-expressed modules and further bioinformatics analysis was performed to identify hub genes within the modules. Finally, based on two single-cell RNA-seq datasets from mice and one microarray dataset from human, we further observed the expression of hub genes in different cell clusters and liver tissues.

results7 hub genes (SPP1, PROM1, SOX9, EPCAM, THY1, CD34 and MCAM) associated with fibrosis progression were identified. Single-cell RNA-seq analysis revealed that those hub genes were expressed by different cell clusters such as cholangiocytes, natural killer (NK) cells, and hepatic stellate cells (HSCs). We also found that SPP1 and CD34 serve as markers of different HSCs clusters, which are associated with inflammatory response and fibrogenesis, respectively. Further study suggested that SPP1, SOX9, MCAM and THY1 might be related to NASH-associated hepatocellular carcinoma (HCC). Receiver operating characteristic (ROC) analysis showed that the high expression of these genes could well predict the occurrence of HCC. At the same time, there were significant differences in metabolism-related pathway changes between different HCC subtypes, and SOX9 may be involved in these changes.

conclusionsThe present study identified novel genes associated with NASH fibrosis and explored their effects on fibrosis from a single-cell perspective that might provide new ideas for the early diagnosis, monitoring, evaluation, and prediction of fibrosis progression in NASH.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNon-alcoholic Fatty Liver DiseaseAnimalsBiomarkersFibrosisHumansLiver CirrhosisMiceBiomarkersFibrosisHCCNASHSingle-cell RNA-seqWGCNA

Identifiers

PMID35226336
OpenAlexW4214771362

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.