Evidence map›Paper›PMID 40655166›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

SERUM LncRNA SNHG16: A Biomarker for Diagnosing Childhood Obesity and Predicting Its Progression to Metabolic Syndrome.

Junjie Hu, Zufen Zheng, Dakang Liang, Yongjin Zhang, Jiejing Chen, Cuiyi Zhou, Chuming You, Qiong Liu

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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

1 citing paper in PubMed.

  1. Subphenotyping Obesity in Pursuit of Personalized Medicine: The Devil is in the Details.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    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

8 authors.

Junjie Hu *Department of General Pediatrics, Sihui People's Hospital, Sihui, 526200, People's Republic of China.
Zufen Zheng *Department of Neonatal Pediatrics, Sihui People's Hospital, Sihui, 526200, People's Republic of China.
Dakang LiangDepartment of General Pediatrics, Sihui People's Hospital, Sihui, 526200, People's Republic of China.
Yongjin ZhangDepartment of Neonatal Pediatrics, Sihui People's Hospital, Sihui, 526200, People's Republic of China.
Jiejing ChenDepartment of General Pediatrics, Sihui People's Hospital, Sihui, 526200, People's Republic of China.
Cuiyi ZhouDepartment of General Pediatrics, Sihui People's Hospital, Sihui, 526200, People's Republic of China.
Chuming YouDepartment of Neonatal Pediatrics, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, People's Republic of China.
Qiong LiuDepartment of Neonatal Pediatrics, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510310, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Obesity is a major risk factor for metabolic syndrome (MS) in children. This study explores the expression and clinical significance of long non-coding RNA SNHG16 (SNHG16) in childhood obesity and its complications with MS (obesity-MS). Patients and Methods: Healthy controls and obese children (categorized as those with simple obesity or obesity-MS) were enrolled. Serum SNHG16 and miR-27a-3p levels were quantified by RT-qPCR. ROC curves evaluated SNHG16's diagnostic value for obesity. Logistic regression analysis identified potential risk factors for the development of obesity-MS. DLR assay and RIP assay confirmed the interaction between SNHG16 and miR-27a-3p. Bioinformatics was used to predict downstream genes of miR-27a-3p and, then GO and KEGG enrichment analysis identified the functions and signaling pathways of these genes. Results: Serum SNHG16 levels were distinctly upregulated in obese children, especially those with obesity-MS. In contrast, miR-27a-3p expression showed the opposite trend. Additionally, SNHG16 was positively correlated with BMI in obese children. Serum SNHG16 exhibited 81.18% sensitivity and 76.47% specificity in distinguishing controls from obese individuals. Furthermore, serum SNHG16, BMI, HOMA-IR, and TG are potential risk factors for MS in obese children. Mechanistically, SNHG16 directly targets miR-27a-3p, and miR-27a-3p targets 65 genes primarily enriched in insulin response and the MAPK, Ras, and mTOR signaling pathways. Conclusion: Elevated serum SNHG16 levels may serve as diagnostic biomarkers for obese children and predict obesity-MS. SNHG16 may also contribute to the progression of obesity and MS by targeting miR-27a-3p.

Indexed as

diagnosticmetabolic syndromemiR-27a-3pobesitySNHG16

Identifiers

PMID40655166
PMCPMC12256061

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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 OpenQuestion graph.