Evidence map›Paper›PMID 35757403›Full record

ArticleFrontiers in endocrinology2022

GPHB5 Is a Biomarker in Women With Metabolic Syndrome: Results From Cross-Sectional and Intervention Studies.

Ting Xiang, Siliang Zhang, Qinge Li, Ling Li, Hua Liu, Chen Chen, Gangyi Yang, Mengliu Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 5 institutions in 3 countries.

Ting XiangDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Siliang ZhangDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Qinge LiThe Key Laboratory of Laboratory Medical Diagnostics in the Ministry of Education and Department of Clinical Biochemistry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Ling LiThe Key Laboratory of Laboratory Medical Diagnostics in the Ministry of Education and Department of Clinical Biochemistry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Hua LiuDepartment of Pediatrics, University of Mississippi Medical Center, Jackson, MS, United States.
Chen ChenEndocrinology, School of Biomedical Science (SBMS), Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.
Gangyi YangDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Mengliu YangDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNDalian Medical University · CNSecond Affiliated Hospital of Chongqing Medical University · CNUniversity of Mississippi Medical Center · USUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Animal studies have found that GPHB5 has a similar effect on system metabolism as TSH. However, the relationship between GPHB5 and metabolic diseases remains unknown. This study investigates the relationship between GPHB5 and MetS in young women. Methods: Bioinformatics analysis was undertaken to explore the relationship between GPHB5 and metabolic-related genes and signaling pathways. EHC and OGTT were performed on all individuals. Lipid-infusion, physical activity, and cold-exposure tests were performed on healthy individuals. Serum GPHB5 concentrations were measured by an ELISA kit. Results: PPI network showed that 11 genes interacted with GPHB5, in which POMC and KISS1R were involved in glucose and lipid metabolism. GO analysis showed 56 pathways for BP and 16 pathways for MF, in which OPRM1 and MCR families were related to energy metabolism. KEGG analysis found that GPHB5 is associated with lipolysis and neuroactive ligand-receptor interaction pathways. The levels of circulating GPHB5 were significantly increased, while serum adiponectin levels were lower in MetS women compared with healthy women. Obese/overweight individuals had lower adiponectin levels and higher GPHB5 levels. Circulating GPHB5 levels were positively correlated with BMI, WHR, blood pressure, FBG, 2 h-BG, HbA1c, FIns, 2h-Ins, LDL-C, FFA, HOMA-IR, and AUCg, etc. but negatively correlated with HDL-C, adiponectin, and M-values. Serum GPHB5 levels did not change significantly during the OGTT, EHC, and lipid infusion. Physical activity and cold-exposure tests did not lead to changes in GPHB5 levels. GLP-1RA treatment resulted in a significant decrease in serum GPHB5 levels. Conclusions: GPHB5 may be a biomarker for MetS.

Indexed as

GlycoproteinsInsulin ResistanceMetabolic SyndromeAdiponectinBiomarkersCross-Sectional StudiesFemaleHumansLipid MetabolismAdiponectinBiomarkersGlycoproteinsthyrostimulinbioinformaticscross-sectional studyGPHB5intervention studymetabolic syndrome

Identifiers

PMID35757403
PMCPMC9218212
OpenAlexW4281625118

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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 OpenQuestion graph.