Evidence map›Paper›PMID 38766436›Full record

ArticleWorld journal of diabetes2024

Serum bile acid and unsaturated fatty acid profiles of non-alcoholic fatty liver disease in type 2 diabetic patients.

Su-Su Feng, Si-Jing Wang, Lin Guo, Pan-Pan Ma, Xiao-Long Ye, Ming-Lin Pan, Bo Hang, Jian-Hua Mao, Antoine M Snijders, Yi-Bing Lu and 1 more

Abstract read
In one paragraph

Article in World journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Serum Lipidomic Analysis of T2DM Patients: A Potential Biomarker Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  3. Article
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

11 authors.

Su-Su FengDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Si-Jing WangDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Lin GuoDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Pan-Pan MaDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Xiao-Long YeDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Ming-Lin PanDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Bo HangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
Jian-Hua MaoBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
Antoine M SnijdersBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
Yi-Bing LuDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Da-Fa DingDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China. dingdafa@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe understanding of bile acid (BA) and unsaturated fatty acid (UFA) profiles, as well as their dysregulation, remains elusive in individuals with type 2 diabetes mellitus (T2DM) coexisting with non-alcoholic fatty liver disease (NAFLD). Investigating these metabolites could offer valuable insights into the pathophy-siology of NAFLD in T2DM.

aimTo identify potential metabolite biomarkers capable of distinguishing between NAFLD and T2DM.

methodsA training model was developed involving 399 participants, comprising 113 healthy controls (HCs), 134 individuals with T2DM without NAFLD, and 152 individuals with T2DM and NAFLD. External validation encompassed 172 participants. NAFLD patients were divided based on liver fibrosis scores. The analytical approach employed univariate testing, orthogonal partial least squares-discriminant analysis, logistic regression, receiver operating characteristic curve analysis, and decision curve analysis to pinpoint and assess the diagnostic value of serum biomarkers.

resultsCompared to HCs, both T2DM and NAFLD groups exhibited diminished levels of specific BAs. In UFAs, particular acids exhibited a positive correlation with NAFLD risk in T2DM, while the ω-6:ω-3 UFA ratio demonstrated a negative correlation. Levels of α-linolenic acid and γ-linolenic acid were linked to significant liver fibrosis in NAFLD. The validation cohort substantiated the predictive efficacy of these biomarkers for assessing NAFLD risk in T2DM patients.

conclusionThis study underscores the connection between altered BA and UFA profiles and the presence of NAFLD in individuals with T2DM, proposing their potential as biomarkers in the pathogenesis of NAFLD.

Indexed as

Bile acidNon-alcoholic fatty liver diseaseType 2 diabetes mellitusUnsaturated fatty acid

Identifiers

PMID38766436
PMCPMC11099371

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.