Evidence map›Paper›PMID 34825737›Full record

ArticleJournal of clinical laboratory analysis2022

Identification of novel biomarkers for sepsis diagnosis via serum proteomic analysis using iTRAQ-2D-LC-MS/MS.

Meng Li, Rongrong Ren, Molei Yan, Shangzhong Chen, Chen Chen, Jing Yan

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 17 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

6 authors at 1 institution in 1 country.

Meng LiDepartment of Clinical Laboratory, Zhejiang Hospital, Hangzhou, China.
Rongrong RenDepartment of Clinical Laboratory, Zhejiang Hospital, Hangzhou, China.
Molei YanDepartment of Intensive Care, Zhejiang Hospital, Hangzhou, China.
Shangzhong ChenDepartment of Intensive Care, Zhejiang Hospital, Hangzhou, China.
Chen ChenDepartment of Clinical Laboratory, Zhejiang Hospital, Hangzhou, China.
Jing YanDepartment of Intensive Care, Zhejiang Hospital, Hangzhou, China.ORCID https://orcid.org/0000-0003-2758-685X
Zhejiang Hospital · CN

Funding

Natural Science Foundation of Zhejiang Province LY16H200002
6 · The paper itself

Abstract

backgroundSepsis is a common cause of morbidity and mortality in the ICU patients. Early diagnosis and appropriate patient management is the key to improve the patient survival and to limit disabilities in sepsis patients. This study was aimed to find new diagnostic biomarkers of sepsis.

methodsIn this study, serum proteomic profiles in sepsis patients by iTRAQ2D-LC-MS/MS. Thirty seven differentially expressed proteins were identified in patients with sepsis, and six proteins including ApoC3, SERPINA1, VCAM1, B2M, GPX3, and ApoE were selected for further verification by ELISA and immunoturbidimetry in 53 patients of non-sepsis, 37 patients of sepsis, and 35 patients of septic shock. Descriptive statistics, functional enrichment analysis, and ROC curve analysis were conducted.

resultsThe level of ApoC3 was gradually decreased among non-sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, with the peak values of B2M and ApoE in the sepsis group. ROC curve analysis for septic diagnosis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625, 0.679, 0.581, and 0.619, respectively, which were lower than that of PCT (AUC 0.717) and CRP (AUC 0.706), but there were no significant differences between each index and PCT or CRP. The combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC-ROC of 0.772.

conclusionProteins of ApoC3, VCAM1, B2M, and ApoE provide a supplement to classical biomarkers for septic diagnosis.

Indexed as

AdultAgedAged, 80 and overBiomarkersBlood ProteinsChromatography, LiquidFemaleHumansIsotope LabelingMaleMiddle AgedProteomeProteomicsROC CurveSepsisTandem Mass SpectrometryBiomarkersBlood ProteinsProteomebiomarkersIsobaric Tags for Relative and Absolute Quantitationproteomicssepsisserum

Identifiers

PMID34825737
PMCPMC8761403
OpenAlexW3214827914

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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.