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Peer-reviewedCC BYFrontiers in endocrinology

Age-specific association between remnant cholesterol and insulin resistance in women with polyendocrine metabolic ovarian syndrome

  1. 1Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital , , ,
  2. 2Medical School, Nanjing University , ,

Abstract

Background: Insulin resistance (IR) is a major metabolic feature in women with polyendocrine metabolic ovarian syndrome (PMOS). Remnant cholesterol (RC), which reflects the cholesterol burden of triglyceride-rich remnant lipoproteins (TRLs), may capture lipid disturbances related to insulin-resistant dyslipidemia. Whether RC is linked to IR in women with PMOS remains unclear.

Methods: This study enrolled 617 women with PMOS. Participants were grouped according to natural-log-transformed remnant cholesterol (lnRC) quartiles. Adjusted odds ratios (ORs) for IR were estimated using multivariable logistic regression models, and restricted cubic splines (RCS) were fitted to characterize the potential dose-response patterns. Multiplicative and additive interaction analyses were performed to evaluate the interaction between age and lnRC. Discrimination of IR by lnRC was assessed using receiver operating characteristic (ROC) curve, and age-specific estimates were compared using DeLong’s test. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were calculated to assess whether lnRC added information beyond the base model.

Results: Higher lnRC levels were significantly associated with increased odds of IR (Q4 vs. Q1: odds ratio [OR] = 3.11, 95% confidence interval [CI]: 1.57–6.14, P = 0.001). This relationship was stronger in women aged < 30 years than in those aged ≥ 30 years (OR: 2.01 vs. 1.13, P for interaction = 0.046). A multiplicative interaction between age and lnRC was also observed for IR (OR = 0.438, 95% CI: 0.197-0.977, P = 0.044). Exploratory age-stratified ROC analysis showed that the area under the curve (AUC) of lnRC for IR discrimination was higher among women aged <30 years than among those aged ≥30 years (0.654 vs. 0.523, DeLong P = 0.024). Adding lnRC to the base model improved risk reclassification and discrimination (NRI = 0.381, 95% CI: 0.165–0.597, P = 0.001; IDI = 0.025, 95% CI: 0.007–0.0439, P = 0.005).

Conclusions: This study indicates that the lnRC–IR association was stronger in women aged <30 years, and a multiplicative interaction between lnRC and age group was observed. These findings suggest that RC may provide complementary information for metabolic assessment in younger women with PMOS and support its further evaluation as a readily calculable lipid marker.

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BibTeX
@article{yu2026agespecific,
  title = {{Age-specific association between remnant cholesterol and insulin resistance in women with polyendocrine metabolic ovarian syndrome}},
  author = {Chiyuan Yu and Zhonghua Sun and Qinyao Wu and Zhiyi Zhou and Wenxin Chen and Boqun Xu},
  journal = {Frontiers in endocrinology},
  year = {2026},
  month = sep,
  doi = {10.3389/fendo.2026.1932335},
  url = {https://europepmc.org/article/PMC/PMC13661191},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Age-specific association between remnant cholesterol and insulin resistance in women with polyendocrine metabolic ovarian syndrome
AU  - Chiyuan Yu
AU  - Zhonghua Sun
AU  - Qinyao Wu
AU  - Zhiyi Zhou
AU  - Wenxin Chen
AU  - Boqun Xu
PY  - 2026
DA  - 2026/09/30
JO  - Frontiers in endocrinology
DO  - 10.3389/fendo.2026.1932335
UR  - https://europepmc.org/article/PMC/PMC13661191
AB  - Background: Insulin resistance (IR) is a major metabolic feature in women with polyendocrine metabolic ovarian syndrome (PMOS). Remnant cholesterol (RC), which reflects the cholesterol burden of triglyceride-rich remnant lipoproteins (TRLs), may capture lipid disturbances related to insulin-resistant dyslipidemia. Whether RC is linked to IR in women with PMOS remains unclear.  Methods: This study enrolled 617 women with PMOS. Participants were grouped according to natural-log-transformed remnant cholesterol (lnRC) quartiles. Adjusted odds ratios (ORs) for IR were estimated using multivariable logistic regression models, and restricted cubic splines (RCS) were fitted to characterize the potential dose-response patterns. Multiplicative and additive interaction analyses were performed to evaluate the interaction between age and lnRC. Discrimination of IR by lnRC was assessed using receiver operating characteristic (ROC) curve, and age-specific estimates were compared using DeLong’s test. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were calculated to assess whether lnRC added information beyond the base model.  Results: Higher lnRC levels were significantly associated with increased odds of IR (Q4 vs. Q1: odds ratio [OR] = 3.11, 95% confidence interval [CI]: 1.57–6.14, P = 0.001). This relationship was stronger in women aged < 30 years than in those aged ≥ 30 years (OR: 2.01 vs. 1.13, P for interaction = 0.046). A multiplicative interaction between age and lnRC was also observed for IR (OR = 0.438, 95% CI: 0.197-0.977, P = 0.044). Exploratory age-stratified ROC analysis showed that the area under the curve (AUC) of lnRC for IR discrimination was higher among women aged <30 years than among those aged ≥30 years (0.654 vs. 0.523, DeLong P = 0.024). Adding lnRC to the base model improved risk reclassification and discrimination (NRI = 0.381, 95% CI: 0.165–0.597, P = 0.001; IDI = 0.025, 95% CI: 0.007–0.0439, P = 0.005).  Conclusions: This study indicates that the lnRC–IR association was stronger in women aged <30 years, and a multiplicative interaction between lnRC and age group was observed. These findings suggest that RC may provide complementary information for metabolic assessment in younger women with PMOS and support its further evaluation as a readily calculable lipid marker.
SN  - 1664-2392
ER  -