Evidence map›Paper›PMID 39044297›Full record

ArticleLipids in health and disease2024

Phospholipid and glycerolipid metabolism as potential diagnostic biomarkers for acute pancreatitis.

Chunfeng Shi, Shengwei Liu, Meihua Zheng, Furong Yan, Dongyao Xu, Wei Wang, Jin Chen

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Chunfeng Shi *Department of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Shengwei Liu *Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Xiamen Medical College, Xiamen, 36100, Fujian, China.
Meihua ZhengDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Furong YanClinical Center for Molecular Diagnosis and Therapy, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Dongyao XuDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Wei WangDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China. wangwei9909@fjmu.edu.cn.
Jin ChenClinical Center for Molecular Diagnosis and Therapy, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China. chenjin@fjmu.edu.cn.

Funding

High-Level Talent Innovation and Entrepreneurship of Quanzhou 2021C048RHigh-Level Talent Innovation and Entrepreneurship of Quanzhou 2023C009YRNational Natural Science Foundation of China 82200043Natural Science Foundation of Fujian Province 2022J01772Quanzhou City Science and Technology Program 2020N090sQuanzhou Science and Technology Plan Project 2023C017YRThe Sailing Fund Project of Fujian Medical University 2022QH1110
6 · The paper itself

Abstract

backgroundAcute pancreatitis (AP) is characterized as a systemic inflammatory condition posing challenges in diagnosis and prognosis assessment. Lipid metabolism abnormalities, especially triacylglycerol (TAG) levels, have been reported, indicating their potential as biomarkers in acute pancreatitis. However, the performance of the TAG cycle, including phospholipid and glycerolipid metabolism, in AP patients has not yet been reported.

methodsThis study enrolled 91 patients with acute biliary pancreatitis (ABP), 27 with hyperlipidaemic acute pancreatitis (HLAP), and 58 healthy controls (HCs), and their plasma phospholipid and glycerolipid levels were analyzed through liquid chromatography‒mass spectrometry. The phospholipid and glycerolipid contents of plasma collected from AP patients on the first, third, and seventh days of hospitalization were also measured. An orthogonal partial least squares discriminant analysis model served to differentiate the ABP, HLAP and HC groups, and potentially diagnostic lipids were evaluated via receiver operating characteristic curves in both the test and validation sets. Correlations between clinical data and lipids were conducted using Spearman's method. Clustering via the 'mfuzz' R package and the Kruskal‒Wallis H test were conducted to monitor changes during hospitalization.

resultsCompared with those in HCs, the levels of phosphatidylcholine (PC), phosphatidylethanolamine (PE), and phosphatidic acid (PA) were lower in AP patients, whereas the levels of phosphatidylinositol (PI) and phosphatidylglycerol (PG) showed the opposite trend. Interestingly, TAG levels were positively correlated with white blood cell counts in ABP patients, and TAGs containing 44-55 carbon atoms were highly correlated with plasma TAG levels in HLAP patients. Phospholipid levels exhibited an inverse correlation with AP markers, in contrast to glycerolipids, which demonstrated a positive correlation with these markers. Additionally, PE (O-16:0/20:4) and PE (18:0/22:6) emerged as potential biomarkers because of their ability to distinguish ABP and HLAP patients from HCs, showing area under the curve (AUC) values of 0.932 and 0.962, respectively. PG (16:0/18:2), PG (16:0/20:4), PE (P-16:0/20:2), PE (P-18:2/18:2), PE (P-18:1/20:3), PE (P-18:1/20:4), PE (O-16:0/20:4), and TAG (56:6/FA18:0) were significantly changed in ABP patients who improved. For HLAP patients, PC (18:0/20:3), TAG (48:3/FA18:1), PE (P-18:0/16:0), and TAG (48:4/FA18:2) showed different trends in patients with improvement and deterioration, which might be used for prognosis.

conclusionsPhospholipids and glycerolipids were found to be potential biomarkers in acute pancreatitis, which offers new diagnostic and therapeutic insights into this disease.

Indexed as

BiomarkersPancreatitisPhospholipidsAcute DiseaseAdultAgedCase-Control StudiesFemaleHumansLipid MetabolismMaleMiddle AgedPhosphatidylethanolaminesROC CurveTriglyceridesBiomarkersphosphatidylethanolaminePhosphatidylethanolaminesPhospholipidsTriglyceridesAcute biliary pancreatitisBiomarkersGlycerolipidHyperlipidemic acute pancreatitisLipid metabolismPhospholipid

Identifiers

PMID39044297
PMCPMC11265382

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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.