Evidence map›Paper›PMID 37403139›Full record

ArticleLipids in health and disease2023

Free fatty acids and peripheral blood mononuclear cells (PBMC) are correlated with chronic inflammation in obesity.

Su Liqiang, Li Fang-Hui, Quan Minghui, Yang Yanan, Chen Haichun

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2023. 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
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. CD36: bridging metabolism, inflammation, and reproduction.npj metabolic health and disease · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

5 authors at 4 institutions in 1 country.

Su LiqiangKey Lab of Aquatic Sports Training Monitoring and Intervention of General Administration of Sport of China, Physical Education College, Jiangxi Normal University, Nanchang, 330022, Jiangxi, China.
Li Fang-HuiSchool of Sport Sciences, Nanjing Normal University, Nanjing, 210023, Jiangsu, China.
Quan MinghuiSchool of Kinesiology, Shanghai University of Sport, Shanghai, 200438, China.
Yang YananKey Lab of Aquatic Sports Training Monitoring and Intervention of General Administration of Sport of China, Physical Education College, Jiangxi Normal University, Nanchang, 330022, Jiangxi, China.
Chen HaichunKey Lab of Aquatic Sports Training Monitoring and Intervention of General Administration of Sport of China, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, 350108, Fujian, China. chc1129@163.com.
Jiangxi Normal University · CNFujian Normal University · CNNanjing Normal University · CNShanghai University of Sport · CN

Funding

The funded was provided by National Natural Science Foundation of China(31971099) and Jiangsu Federation of philosophy and Social Sciences(21WRA001) 31971099 and 21WRA001
6 · The paper itself

Abstract

Obesity-related chronic inflammation is closely related to the ability of immune cells to adapt to the body's needs, research has shown that excess FAs can further activate pro-inflammatory transcription factors in the nucleus by interacting with various receptors such as CD36 and TLR4, thereby affecting the inflammatory state of cells. However, how the profile of various fatty acids in the blood of obese individuals is associated with chronic inflammation remains unclear.

objectiveThe biomarkers associated with obesity were identified from 40 fatty acids (FAs) in the blood, and analyze the relationship between the biomarkers and chronic inflammation. Furthermore, by analyzing the difference in the expression of CD36, TLR4 and NF-κB p65 in peripheral blood mononuclear cells (PBMC) between obese and standard weight people, understand that immunophenotype PBMC is associated with chronic inflammation.

methodsThis study is a cross-sectional study. Participants were recruited from the Yangzhou Lipan weight loss training camp from May 2020 to July 2020. The sample size was 52 individuals, including 25 in the normal weight group and 27 in the obesity group. Individuals with obesity and controls of normal weight were recruited to identify biomarkers associated with obesity from 40 fatty acids in the blood; correlation analysis was conducted between the screened potential biomarkers FAs and the chronic inflammation index hs-CRP to identify FA biomarkers associated with chronic inflammation. Changes in the fatty acid receptor CD36, inflammatory receptor TLR4, and inflammatory nuclear transcription factor NF-κB p65 in PBMC subsets were used to further test the relationship between fatty acids and the inflammatory state in individuals with obesity.

results23 potential FA biomarkers for obesity were screened, eleven of the potential obesity biomarkers were also significantly related to hs-CRP. Compared to the control group, in monocytes the obesity group expressed higher TLR4, CD36, and NF-κB p65 in lymphocytes, the obesity group expressed higher TLR4 and CD36; and in granulocytes the obesity group expressed higher CD36.

conclusionBlood FAs are associated with obesity and are associated with chronic inflammation through increased CD36, TLR4, and NF-κB p65 in monocytes.

Indexed as

Fatty Acids, NonesterifiedLeukocytes, MononuclearC-Reactive ProteinCross-Sectional StudiesFatty AcidsHumansInflammationNF-kappa BObesityToll-Like Receptor 4C-Reactive ProteinFatty AcidsFatty Acids, NonesterifiedNF-kappa BToll-Like Receptor 4Chronic inflammationFatty acidsObesity

Identifiers

PMID37403139
PMCPMC10318674
OpenAlexW4383187570

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.