Evidence map›Paper›PMID 37853077›Full record

ArticleScientific reports2023

Correlation analysis of obesity phenotypes with leptin and adiponectin.

Guliqiekeran Aisike, Maierheba Kuerbanjiang, Dina Muheyati, Kaibinuer Zaibibuli, Mei-Xia Lv, Jia Han

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Obesity and leptin in breast cancer angiogenesis.Frontiers in endocrinology · 2024
    Review
  16. 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

6 authors at 1 institution in 1 country.

Guliqiekeran Aisike *Department of Nutrition and Food Hygiene, College of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
Maierheba Kuerbanjiang *Department of Nutrition and Food Hygiene, College of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
Dina MuheyatiDepartment of Nutrition and Food Hygiene, College of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
Kaibinuer ZaibibuliDepartment of Nutrition and Food Hygiene, College of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
Mei-Xia LvDepartment of Nutrition and Food Hygiene, College of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
Jia HanDepartment of Nutrition and Food Hygiene, College of Public Health, Xinjiang Medical University, Urumqi, 830011, China. yuerel.bat@163.com.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity can be categorized as metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO). However, individuals with MHO are characterized by the absence of metabolic syndrome (MS) and appear to have lower inflammation levels compared to MUO. This study aimed to investigate the association of obesity phenotypes with leptin (LEP) and adiponectin (ADP). According to the inclusion and exclusion criteria, we selected 178 subjects from the previous cross-sectional survey. Based on the body mass index (BMI) and diagnostic criteria of MS, we divided the individuals into three groups, including healthy control group (HC group), metabolically healthy obesity group (MHO group) and metabolically unhealthy obesity group (MUO group). The concentrations of LEP and ADP in serum were measured, and the association of these two cytokines with different obesity phenotypes were subsequently analyzed. Compared to both the HC and MHO groups, the MUO group showed significantly higher BMI, waist circumference (WC), waist-hip ratio (WHR), triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance (Homa-IR) and blood pressure (P < 0.05). In contrast, serum high-density lipoprotein cholesterol (HDL-C) was notably lower in the MUO group (P < 0.05). ADP was found to have a positive correlation with systolic blood pressure (SBP) and a negative correlation with FPG in the MHO group. In the MUO group, LEP demonstrated a positive correlation with fasting insulin (FINS) and Homa-IR, while ADP showed a positive correlation with TC and SBP. Linear regression analysis further indicated that SBP (β = 0.234, P = 0.043), TG (β = - 0.292, P = 0.001) and LDL-C (β = 0.626, P = 0.000) were independently correlated with ADP, and BMI (β = 0.398, P = 0.002) was independently correlated with LEP in obese individuals. In conclusion, ADP and LEP were closely related with glucose and lipid metabolism in obese individuals, these two cytokines might play critical roles in obesity-associated metabolic disorders.

Indexed as

Insulin ResistanceMetabolic SyndromeObesity, Metabolically BenignAdiponectinBody Mass IndexCholesterol, LDLCross-Sectional StudiesCytokinesHumansLeptinObesityPhenotypeTriglyceridesAdiponectinADIPOQ protein, humanCholesterol, LDLCytokinesLEP protein, humanLeptinTriglycerides

Identifiers

PMID37853077
PMCPMC10584881
OpenAlexW4387739930

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.