Evidence mapPaperPMID 37726574Full record

ArticleAmino acids2023

Untargeted metabolomics analysis of plasma metabolic characteristics in patients with acne and insulin resistance.

Qingqing He, Huiling Shu, Yu Peng, Yang Xu, Li Liu, Jie Zhou, Juan Zhao, Xia Xiong, Changqiang Li

Abstract read
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In one paragraph

Article in Amino acids, 2023. 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
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

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

9 authors at 3 institutions in 1 country.

Qingqing He *Department of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Huiling Shu *Department of Dermatology, The People's Hospital of Chongzhou, Chengdu, Sichuan, China.
Yu PengDepartment of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Yang XuDepartment of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Li LiuDepartment of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Jie ZhouDepartment of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Juan ZhaoDepartment of Dermatology, The Hejiang People's Hospital, Luzhou, Sichuan, China.
Xia XiongDepartment of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China. xiongxia789@126.com.
Changqiang LiDepartment of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China. lcq-1973@163.com.
Affiliated Hospital of Southwest Medical University · CNFourth People's Hospital of Sichuan Province · CNQujiang People's Hospital · CN

Funding

Science and Technology Bureau of Luzhou City 2016-S-67Sichuan Provincial Health Department 16PJ555the Science and Technology Department of Sichuan Province 2022YFS0631
6 · The paper itself

Abstract

Acne vulgaris is a chronic inflammatory disease with high incidence, diverse clinical manifestations, poor clinical efficacy, and easy recurrence. Recent studies have found that the occurrence of acne is related to metabolic factors such as insulin resistance; however, the specific mechanism of action remains unclear. This study aimed to identify significantly different metabolites and related metabolic pathways in the serum of acne vulgaris patients with or without insulin resistance. LC-MS/MS was used to analyze serum samples from patients about acne with insulin resistance (n = 51) and acne without insulin resistance (n = 69) to identify significant metabolites and metabolic pathways. In this study, 18 significant differential metabolites were screened for the first time. In the positive-ion mode, the upregulated substances were creatine, sarcosine, D-proline, uracil, Phe-Phe, L-pipecolic acid, and DL-phenylalanine; the downregulated substances were tridecanoic acid (tridecylic acid), L-lysine, cyclohexylamine, sphingomyelin (d18:1/18:0), gamma-L-Glu-epsilon-L-Lys, and 1,2-dioleoyl-sn-glycero-3-phosphatidylcholine. In the negative-ion mode, the upregulated substance was cholesterol sulfate, and the downregulated substances were D(-)-beta-hydroxybutyric acid, myristic acid, D-galacturonic acid, and dihydrothymine. Cholesterol sulfate showed the most significant expression among all differential metabolites (VIP = 7.3411). Based on the KEGG database, necroptosis and ABC transporters were the most significantly enriched metabolic pathways in this experiment. The differential metabolites and pathways identified in this study may provide new possibilities for the clinical diagnosis and development of targeted drugs for acne patients with insulin resistance.

Indexed as

Acne VulgarisInsulin ResistanceChromatography, LiquidHumansMetabolomicsTandem Mass SpectrometryAcne vulgarisInsulin resistanceLC–MS/MS analysisMetabolites

Identifiers

PMID37726574
OpenAlexW4386858076

What Socratic holds

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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 Socratic graph.