Wu · Peptides 2021 · Controlled laboratory animal experiment · n=?

Dulaglutide, a long-acting GLP-1 receptor agonist, can improve hyperandrogenemia and ovarian function in DHEA-induced PCOS rats.

Cited 45 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Preclinical animal study (DHEA-induced PCOS in female SD rats).

PubMed 34375684 · doi:10.1016/j.peptides.2021.170624 · record verified 2026-08-27

What was done

Female Sprague-Dawley rats received daily subcutaneous injections of DHEA for 21 days to establish a PCOS model. Following modeling, rats were treated for 3 weeks with subcutaneous dulaglutide at three different doses, sterile ultrapure water (model group), or received no intervention (normal group). Assessed outcomes included body weight, fasting glucose, fasting insulin, serum testosterone, and SHBG levels via ELISA. Ovarian tissue was evaluated for morphological changes (HE staining), steroidogenic gene expression (3βHSD, CYP17α1, CYP19α1, StAR via qRT-PCR), and protein expression (CYP17α1, CYP19α1, StAR, and insulin via western blot).

What was found

The abstract reports directional statistical comparisons without numerical values. Dulaglutide treatment significantly reduced body weight compared to the PCOS model group. It significantly decreased serum androgen levels and increased serum SHBG concentrations relative to untreated PCOS rats. In ovarian tissue, dulaglutide significantly decreased gene and protein expression of 3βHSD, CYP19α1, and StAR, and reduced ovarian insulin content.

Why it matters

These findings suggest that long-acting GLP-1 receptor agonists can modulate hyperandrogenemia, ovarian steroidogenesis, and follicular abnormalities in a rodent PCOS model, offering a mechanistic rationale for further exploration of GLP-1 receptor agonists in clinical PCOS management.

Limits

The study is in a chemical-induced rodent model, which does not fully capture the complexity of human PCOS. The abstract omits total sample size (n), exact dosage amounts, and all baseline or endpoint numerical values and variance metrics.

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