LipidDoc_ATL said:

Patient selection optimization for glycaemic control: emerging predictive biomarkers for GLP-1 agonist response include: Biomarker Association…

PCOS success story with glycaemic control: as someone with polycystic ovary syndrome, this medication has been transformative beyond weight loss.

After 8 months: periods became regular for the first time in a decade, testosterone levels normalized, acne cleared significantly, and — unexpectedly — my fertility specialist is optimistic about future conception.

GLP-1 agonists address the insulin resistance at the root of PCOS. For PCOS patients, this isn't "just" a weight loss drug — it's treating our underlying metabolic dysfunction.

dave_SLC said:

A1C went from 7.4 to 5.6 over nine months and my prescriber was more interested in the fasting insulin, which I did not expect.

Complete metabolic panel trending on glycaemic control — sharing because comprehensive data helps everyone:

The insulin resistance improvement (HOMA-IR) is what my endo focuses on most. Going from 4.5 to near 1.0 is a metabolic transformation.

mike.trainer_LA said:

PCOS success story with glycaemic control: as someone with polycystic ovary syndrome, this medication has been transformative beyond weight loss.

Fasting insulin is the lab my functional medicine doctor cares about most for glycaemic control: it's a much earlier marker of metabolic dysfunction than glucose or A1C.

My fasting insulin: 30 → 14 → 5 uIU/mL over 9 months. Target is <7. By the time your fasting glucose is elevated, your insulin has been elevated for YEARS trying to compensate.

Ask your doctor to include fasting insulin in your bloodwork panel. It's cheap (~$20) and incredibly informative.

Following on from mike_nyc — and this may be the naive question:

What did you change at the same time, and can you separate the two now?

NurseAsh_DET said:

Fasting insulin is the lab my functional medicine doctor cares about most for glycaemic control: it's a much earlier marker of metabolic dysfunction…

Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 41% to 20%. Target is <36%, with <30% being ideal.

Why this matters more than average glucose: large glucose swings cause oxidative stress, endothelial damage, and promote advanced glycation end-products (AGEs). A flat glucose line at 95 mg/dL is metabolically healthier than oscillating between 60 and 160, even if the average is the same.