ArticleBMC women's health2022
Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome.
Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Circulating potential biomarkers in polycystic ovary syndrome and gynecologic cancers: Diagnostic insights from a systematic review and meta-analysis.Journal of ovarian research · 2025Pooled it
- A Biological Disease-Staging Model of Polyendocrine Metabolic Ovarian Syndrome: From Plasticity-Dominant States to Pathological Remodeling.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- MicroRNA Crossroads in PCOS and Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- Differential expression of miR-21, miR-222, and Let-7b in serum and follicular fluid of polycystic ovary syndrome: Correlation with biochemical parameters.Medical journal, Armed Forces India · 2025Article
- Circulating Cell Free microRNAs in Women with Polycystic Ovary Syndrome: Advancing Towards Biomarker Discovery and Therapeutic Targets.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- Article
- MicroRNAs as Biomarkers for Metabolic Disorders in Polycystic Ovary Syndrome (PCOS): A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
- Crosstalk Between Oxidative Stress and Epigenetics: Unveiling New Biomarkers in Human Infertility.Cells · 2024Review
- Role of Increased miR-222-3p Expression in Peripheral Blood and Wound Marginal Tissues of Type 2 Diabetes Mellitus Patients with Diabetic Foot Ulcer.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivemicroRNAs (miRNAs) play pivotal roles in polycystic ovary syndrome (PCOS), an endocrine and metabolic disorder that commonly occurs in women of childbearing age. This paper aimed to measure miR-222-3p expression in sera of PCOS patients and to explore its clinical value on PCOS diagnosis and prediction of diabetic and cardiovascular complications.
methodsTotally 111 PCOS patients and 94 healthy people were recruited and assigned to the overweight (ow) group and non-overweight (non-ow) group, followed by determination of serum miR-222-3p expression. The diagnostic efficiency of miR-222-3p on PCOS ow and non-ow patients was analyzed. Correlations between miR-222-3p and glycolipid metabolic indicators and diabetic and cardiovascular complications in PCOS were analyzed. The downstream target of miR-222-3p was predicted and their binding relationship was verified. The correlation between PGC-1α and miR-222-3p was analyzed.
resultsmiR-222-3p was highly-expressed in PCOS patients (p < 0.001), in especially PCOS ow patients. The area under the curve (AUC) of miR-222-3p diagnosing PCOS non-ow patients was 0.9474 and cut-off value was 1.290 (89.06% sensitivity, 98.11% specificity), indicating that non-ow people with serum miR-222-3p > 1.290 could basically be diagnosed with PCOS. AUC of miR-222-3p diagnosing PCOS ow patients was 0.9647 and cut-off value was 2.425 (85.11% sensitivity, 100% specificity), suggesting that ow people with serum miR-222-3p > 2.425 could basically be diagnosed with PCOS. miR-222-3p was positively-correlated with fasting plasma glucose (FPG), fasting insulin (FINS), homeostatic model assessment-insulin resistance (HOMA-IR), and low-density lipoprotein cholesterol (LDL-C) and negatively-correlated with high-density lipoprotein cholesterol (HDL-C). miR-222-3p was independently-correlated with diabetic and cardiovascular complications in PCOS (p < 0.05). High expression of miR-222-3p predicted high risks of diabetic and cardiovascular complications in PCOS. miR-222-3p targeted PGC-1α and was negatively-correlated with PGC-1α (r = - 0.2851, p = 0.0224; r = - 0.3151, p = 0.0310).
conclusionHigh expression of miR-222-3p assisted PCOS diagnosis and predicted increased risks of diabetic and cardiovascular complications. miR-222-3p targeted PGC-1α and was negatively-correlated with PGC-1α.
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