Evidence map›Paper›PMID 41320970›Full record

ArticleJournal of diabetes2025

Dickkopf1 as a Potential Biomarker in Polycystic Ovary Syndrome and Insulin Resistance: A Cross-Sectional Study.

Jiaxiu Ling, Hao Wang, Rui Liu, Juan Xiao, Sheng Qiu, Xiaotian Lei, Mengliu Yang, Yerui Lai, Hua Huang, Zerong Liang

Abstract read
In one paragraph

Article in Journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Jiaxiu LingDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0001-8557-2088
Hao WangDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Rui LiuDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Juan XiaoDepartment of Endocrinology, Chongqing Red Cross Hospital (People's Hospital of Jiangbei District), Chongqing, China.
Sheng QiuDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Xiaotian LeiDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Mengliu YangDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Yerui LaiDepartment of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Hua HuangDepartment of Endocrinology, Chongqing Red Cross Hospital (People's Hospital of Jiangbei District), Chongqing, China.
Zerong LiangDepartment of Endocrinology, Chongqing Red Cross Hospital (People's Hospital of Jiangbei District), Chongqing, China.

Funding

China Postdoctoral Science Foundation 2022MD713711Chongqing Nature Science Foundation Project-Postdoctoral Science Foundation Project 2022NSCQ-BHX0541Joint Project of Chongqing Health Commission and Science and Technology Bureau 2021MSXM283Joint Project of Chongqing Health Commission and Science and Technology Bureau 2024MSXM148National Natural Science Foundation of China 82000792National Natural Science Foundation of China 82100852Natural Science Foundation Project of Chongqing CSTB2022NSCQ-MSX1522Postgraduate research and innovation projects of Chongqing Municipal Education Commission CYS21221Science and Technology Program of Health Bureau of Chongqing 2016MSXM083Science and Technology Program of Health Bureau of Chongqing 2017MSXM20
6 · The paper itself

Abstract

backgroundDickkopf1 (DKK1) is a protein with established links to metabolic diseases. However, its association with polycystic ovary syndrome (PCOS) and insulin resistance (IR) remains ambiguous.

methodsWe conducted a cross-sectional study involving 300 participants, including 100 healthy women, 100 women with PCOS, and 100 individuals with IR. Protein interactions with DKK1 were identified using the STRING database, followed by KEGG and GO analyses to explore enriched biological processes. Serum DKK1 and Adipoq levels were measured using ELISA kits. The hepatic DKK1 was detected by western blotting.

resultsBoth IR and PCOS groups showed significantly higher serum DKK1 levels and lower Adipoq levels compared to controls. Serum DKK1 levels positively correlated with body mass index (BMI), waist-hip ratio (WHR), body fat percentage (FAT%), systolic blood pressure (SBP), triglycerides (TG), fasting plasma glucose (FPG), fasting insulin (FIns), glycosylated hemoglobin (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR). Adipoq levels negatively correlated with glucose disposal rate (M-value). Multiple regression analysis showed that BMI and Adipoq were independent factors affecting DKK1. Multiple stepwise regressions indicated that DKK1 is a risk factor for IR and PCOS. In the euglycemic-hyperinsulinemic clamp (EHC) test, serum DKK1 levels increased in the PCOS patients and decreased in the IR patients at 30 min and returned to baseline at 60 min.

conclusionsElevated DKK1 levels are strongly associated with PCOS and IR, suggesting a potential role in their development. This insight paves the way for further investigations into the role of DKK1 in PCOS and IR.

Indexed as

BiomarkersInsulin ResistanceIntercellular Signaling Peptides and ProteinsPolycystic Ovary SyndromeAdiponectinAdultBlood GlucoseBody Mass IndexCase-Control StudiesCross-Sectional StudiesFemaleHumansYoung AdultAdiponectinADIPOQ protein, humanBiomarkersBlood GlucoseDKK1 protein, humanIntercellular Signaling Peptides and ProteinsbiomarkercytokineDickkopf1insulin resistancepolycystic ovary syndrome

Identifiers

PMID41320970
PMCPMC12665800

What OpenQuestion holds

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LicenceCC BY
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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.