Evidence map›Paper›PMID 38951753›Full record

ArticleClinical proteomics2024

Resistin as a potential diagnostic biomarker for sepsis: insights from DIA and ELISA analyses.

Youyu Lan, Wentao Guo, Wenhao Chen, Muhu Chen, Shaolan Li

Abstract read
In one paragraph

Article in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors.

Youyu Lan *Department of Rheumatology and Immunology, the Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiangyang District, Luzhou, 646000, Sichuan, China.
Wentao Guo *Department of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China.
Wenhao ChenDepartment of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China.
Muhu ChenDepartment of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China. cmh6186@swmu.edu.cn.
Shaolan LiDepartment of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China. lishaolan883@swmu.edu.cn.

Funding

Doctoral Research Initiation Fund of Affiliated Hospital of Southwest Medical University 20119Science and Technology Strategic Cooperation Fund of Southwest Medical University of Luzhou Municipal People's Government 2023LZXNYDJ048
6 · The paper itself

Abstract

purposeThe primary objective of this investigation is to systematically screen and identify differentially expressed proteins (DEPs) within the plasma of individuals afflicted with sepsis. This endeavor employs both Data-Independent Acquisition (DIA) and enzyme-linked immunosorbent assay (ELISA) methodologies. The overarching goal is to furnish accessible and precise serum biomarkers conducive to the diagnostic discernment of sepsis.

methodThe study encompasses 53 sepsis patients admitted to the Affiliated Hospital of Southwest Medical University between January 2019 and December 2020, alongside a control cohort consisting of 16 individuals devoid of sepsis pathology. Subsequently, a subset comprising 10 randomly selected subjects from the control group and 22 from the sepsis group undergoes quantitative proteomic analysis via DIA. The acquired data undergoes Gene Ontology (GO) and Kyoto Encyclopedia of Genes (KEGG) analyses, facilitating the construction of a Protein-Protein Interaction (PPI) network to discern potential markers. Validation of core proteins is then accomplished through ELISA. Comparative analysis between the normal and sepsis groups ensues, characterized by Receiver Operating Characteristic (ROC) curve construction to evaluate diagnostic efficacy.

resultA total of 187 DEPs were identified through bioinformatic methodologies. Examination reveals their predominant involvement in biological processes such as wound healing, coagulation, and blood coagulation. Functional pathway analysis further elucidates their engagement in the complement pathway and malaria. Resistin emerges as a candidate plasma biomarker, subsequently validated through ELISA. Notably, the protein exhibits significantly elevated levels in the serum of sepsis patients compared to the normal control group. ROC curve analysis underscores the robust diagnostic capacity of these biomarkers for sepsis.

conclusionData-Independent Acquisition (DIA) and Enzyme-Linked Immunosorbent Assay (ELISA) show increased Resistin levels in sepsis patients, suggesting diagnostic potential, warranting further research.

Indexed as

BioinformaticsDIAELISAResistinSepsis

Identifiers

PMID38951753
PMCPMC11218185

What OpenQuestion 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 OpenQuestion graph.