Evidence map›Paper›PMID 35090480›Full record

ArticleJournal of nanobiotechnology2022

Quantitative metabolic analysis of plasma extracellular vesicles for the diagnosis of severe acute pancreatitis.

Doudou Lou, Keqing Shi, Hui-Ping Li, Qingfu Zhu, Liang Hu, Jiaxin Luo, Rui Yang, Fei Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  4. Acute pancreatitis: mechanisms and therapeutic approaches.Signal transduction and targeted therapy · 2026
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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

8 authors at 2 institutions in 1 country.

Doudou Lou *Eye Hospital, School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Keqing Shi *The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Hui-Ping Li *The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Qingfu ZhuEye Hospital, School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Liang HuEye Hospital, School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Jiaxin LuoEye Hospital, School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Rui YangEye Hospital, School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Fei LiuThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China. feiliu@wmu.edu.cn.ORCID http://orcid.org/0000-0001-5259-5753
Wenzhou Medical University · CNWenzhou University · CN

Funding

Zhejiang Provincial and Ministry of Health Research Fund for Medical Sciences WKJ-ZJ-1910
6 · The paper itself

Abstract

backgroundSevere acute pancreatitis (SAP) is the most common gastrointestinal disease and is associated with unpredictable seizures and high mortality rates. Despite improvements in the treatment of acute pancreatitis, the timely and accurate diagnosis of SAP remains highly challenging. Previous research has shown that extracellular vesicles (EVs) in the plasma have significant potential for the diagnosis of SAP since the pancreas can release EVs that carry pathological information into the peripheral blood in the very early stages of the disease. However, we know very little about the metabolites of EVs that might play a role in the diagnosis of SAP.

methodsHere, we performed quantitative metabolomic analyses to investigate the metabolite profiles of EVs isolated from SAP plasma. We also determined the metabolic differences of EVs when compared between healthy controls, patients with SAP, and those with mild acute pancreatitis (MAP).

resultsA total of 313 metabolites were detected, mainly including organic acids, amino acids, fatty acids, and bile acids. The results showed that the metabolic composition of EVs derived from SAP and MAP was significantly different from those derived from healthy controls and identified specific differences between EVs derived from patients with SAP and MAP. On this basis, we identified four biomarkers from plasma EVs for SAP detection, including eicosatrienoic acid (C20:3), thiamine triphosphate, 2-Acetylfuran, and cis-Citral. The area under the curve (AUC) was greater than 0.95 for both discovery (n = 30) and validation (n = 70) sets.

conclusionsOur data indicate that metabolic profiling analysis of plasma EVs and the screening of potential biomarkers are of significant potential for improving the early diagnosis and severity differentiation of acute pancreatitis.

Indexed as

Extracellular VesiclesPancreatitisAcute DiseaseBiomarkersHumansMetabolomicsBiomarkersBiomarker discoveryEarly diagnosisExtracellular vesiclesMetabolomicsSevere acute pancreatitis

Identifiers

PMID35090480
PMCPMC8796348
OpenAlexW4210311796

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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.