Evidence map›Paper›PMID 37049623›Full record

ArticleNutrients2023

Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions.

Kaiqing Lin, Wei Cheng, Qiwei Shen, Hui Wang, Ruwen Wang, Shanshan Guo, Xianmin Wu, Wei Wu, Peijie Chen, Yongfei Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 14 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

13 authors at 3 institutions in 1 country.

Kaiqing LinSchool of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China.
Wei ChengDepartment of Endocrinology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai 200090, China.
Qiwei ShenDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai 200433, China.
Hui WangShanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism & Integrative Biology, Fudan University, Shanghai 200433, China.
Ruwen WangSchool of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China.
Shanshan GuoState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Xianmin WuSchool of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China.
Wei WuDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200433, China.
Peijie ChenSchool of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China.
Yongfei WangDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200433, China.
Hongying YeDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200433, China.
Qiongyue ZhangDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200433, China.
Ru WangSchool of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China.
Shanghai University of Sport · CNFudan University · CNYangpu Hospital of Tongji University · CN

Funding

Shanghai Municipal Science and Technology Committee of Shanghai outstanding academic lead-ers plan 21XD1403200Shanghai "Science and Technology Innovation Action Plan" Social Development Science and Technology Reach Project 22dz1204600the Construction Project of High-Level Local Universities in Shanghai, China. The National Key Research and development program of China 2019YFA0801900the National Key R&D Program of China 2020YFA0803800the National Natural Science Foundation of China 31971097the National Natural Science Foundation of China 32271226the National Natural Science Foundation of China No. 81800751the National Natural Science Foundation of China No.82000790the National Natural Science Foundation of China No. 82200952
6 · The paper itself

Abstract

Obesity is an epidemic all around the world. Weight loss interventions that are effective differ from each other with regard to various lipidomic responses. Here, we aimed to find lipidomic biomarkers that are related to beneficial changes in weight loss. We adopted an untargeted liquid chromatography with tandem mass spectrometry (LC-MS/MS) method to measure 953 lipid species for Exercise (exercise intervention cohort, N = 25), 1388 lipid species for LSG (laparoscopic sleeve gastrectomy cohort, N = 36), and 886 lipid species for Cushing (surgical removal of the ACTH-secreting pituitary adenomas cohort, N = 25). Overall, the total diacylglycerol (DG), triacylglycerol (TG), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), and sphingomyelin (SM) levels were associated with changes in BMI, glycated hemoglobin (HbA1c), triglyceride, and total cholesterol according to weight loss interventions. We found that 73 lipid species changed among the three weight loss interventions. We screened 13 lipid species with better predictive accuracy in diagnosing weight loss situations in either Exercise, LSG, or Cushing cohorts (AUROC > 0.7). More importantly, we identified three phosphatidylcholine (PC) lipid species, PC (14:0_18:3), PC (31:1), and PC (32:2) that were significantly associated with weight change in three studies. Our results highlight potential lipidomic biomarkers that, in the future, could be used in personalized approaches involving weight loss interventions.

Indexed as

LipidomicsTandem Mass SpectrometryBiomarkersChromatography, LiquidHumansPhosphatidylcholinesTriglyceridesWeight LossBiomarkersPhosphatidylcholinesTriglyceridescushingexerciselaparoscopic sleeve gastrectomylipidomics

Identifiers

PMID37049623
PMCPMC10097218
OpenAlexW4362669761

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.