Evidence map›Paper›PMID 35849169›Full record

ArticleArchives of gynecology and obstetrics2023

DIA-based proteomics analysis of serum-derived exosomal proteins as potential candidate biomarkers for intrahepatic cholestasis in pregnancy.

Liju Nie, Siming Xin, Jiusheng Zheng, Yong Luo, Yang Zou, Xianxian Liu, Huayan Chen, Xiaozhen Lei, Xiaoming Zeng, Hua Lai

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Article in Archives of gynecology and obstetrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Intrahepatic cholestasis of pregnancy.Nature reviews. Disease primers · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. 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

10 authors at 1 institution in 1 country.

Liju Nie *Department of Obstetrics, Jiangxi Provincial Maternal and Child Health Hospital, 318 Bayi Avenue, 330006 Jiangxi Province, Nanchang, China.
Siming Xin *Department of Obstetrics, Jiangxi Provincial Maternal and Child Health Hospital, 318 Bayi Avenue, 330006 Jiangxi Province, Nanchang, China.
Jiusheng ZhengDepartment of Obstetrics, Jiangxi Provincial Maternal and Child Health Hospital, 318 Bayi Avenue, 330006 Jiangxi Province, Nanchang, China.
Yong LuoKey Laboratory of Women's Reproductive Health of Jiangxi Province, Jiangxi Provincial Maternal and Child Health Hospital, Nanchang, China.
Yang ZouKey Laboratory of Women's Reproductive Health of Jiangxi Province, Jiangxi Provincial Maternal and Child Health Hospital, Nanchang, China.
Xianxian LiuKey Laboratory of Women's Reproductive Health of Jiangxi Province, Jiangxi Provincial Maternal and Child Health Hospital, Nanchang, China.
Huayan ChenDepartment of Obstetrics, Jiangxi Provincial Maternal and Child Health Hospital, 318 Bayi Avenue, 330006 Jiangxi Province, Nanchang, China.
Xiaozhen LeiDepartment of Obstetrics, Jiangxi Provincial Maternal and Child Health Hospital, 318 Bayi Avenue, 330006 Jiangxi Province, Nanchang, China.
Xiaoming ZengDepartment of Obstetrics, Jiangxi Provincial Maternal and Child Health Hospital, 318 Bayi Avenue, 330006 Jiangxi Province, Nanchang, China. 18070038675@163.com.
Hua LaiDepartment of Obstetrics, Jiangxi Provincial Maternal and Child Health Hospital, 318 Bayi Avenue, 330006 Jiangxi Province, Nanchang, China. 1933368418@qq.com.ORCID 0000-0003-4653-9573
Jiangxi Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData-independent acquisition (DIA) is one of the most powerful and reproducible proteomic technologies for large-scale digital qualitative and quantitative research. The aim of this study was to use proteomic methodologies for the identification of biomarkers that are over or underexpressed in women with intrahepatic cholestasis of pregnancy (ICP) compared with controls and discover a potential biomarker panel for ICP detection.

methodsThe participants included 11 ICP patients and 11 healthy pregnant women as controls. The clinical characteristic data and the laboratory biochemical data were collected at the time of recruitment. Then, a data-independent acquisition (DIA)-based proteomics approach was used to identify differentially expressed proteins (DEPs) in serum exosomes between ICP patients and controls. Finally, bioinformatics analysis was used to identify the relevant processes in which these DEPs were involved.

resultsThe proteomics results showed that there were 162 DEPs in serum exosomes between pregnant women with ICP and healthy pregnant women, of which 106 were upregulated and 56 were downregulated in ICP. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the identified proteins were functionally related to specific cell processes including apoptosis, lipid metabolism, immune response and cell proliferation, and metabolic disorders, suggesting that these may be primary causative factors in ICP pathogenesis. Meanwhile, complement and coagulation cascades may be closely related to the development of ICP. Receiver operating characteristic curve (ROC) analysis showed that the area under the curve values of Elongation factor 1-alpha 1, Beta-2-glycoprotein I, Zinc finger protein 238, CP protein and Ficolin-3 were all approximately 0.9, indicating the promising diagnostic value of these proteins.

conclusionsThis preliminary work provides a better understanding of the proteomic alterations in the serum exosomes of pregnant women with ICP.

Indexed as

Cholestasis, IntrahepaticPregnancy ComplicationsBiomarkersBlood ProteinsFemaleHumansPregnancyProteomicsBiomarkersBlood ProteinsBiomarkersDIAICPProteome changesProteomics analysis

Identifiers

PMID35849169
OpenAlexW4285727214

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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.