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ForumsMetabolic Health & DiabetesPrediabetic and scared - will this actually prevent diabetes? — anyone have experience? Page 2

Prediabetic and scared - will this actually prevent diabetes? — anyone have experience?

DoseLogDan Thu, May 2, 2024 at 11:28 PM 14 replies 2,172 viewsPage 2 of 3
anders_CPH
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May 3, 2024 at 4:30 AM#6
Dr.NutriCornell said:
Insulin sensitivity test (HOMA-IR) on glycaemic control — arguably the most important metabolic marker most people aren't tracking: HOMA-IR = (fasting…

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

BiomarkerAssociationEvidence Level
Baseline BMIHigher BMI → greater absolute weight lossStrong
Fasting insulinHigher insulin → better responseModerate
GLP1R gene variantsrs6923761 → variable responsePreliminary
Baseline hsCRPHigher CRP → greater CV benefitModerate
Early weight loss (4 wk)≥3% at 4 wks → strong predictor of ≥10% at 68 wksStrong

The 4-week early responder criterion is the most clinically actionable: if you haven't lost ≥3% by week 4 at a therapeutic dose, discuss optimization strategies with your provider.

Last edited: May 3, 2024 at 8:30 AM
45 15CryptoCarl, MariaRD, AussieAnna and 42 others
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raj_cambridge
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Jun 2024
Cambridge, MA
May 3, 2024 at 6:28 AM#7
DoseLogDan said:
Fasting glucose improved within weeks and my HbA1c barely moved for three months, which I now understand and did not at the time.

My labs after 12 months on glycaemic control: A1C 5.9%, fasting glucose 94 mg/dL, fasting insulin 7 uIU/mL. My endo says these are "textbook perfect."

For context, my baseline A1C was 8.3% and fasting glucose was 119 mg/dL. The improvement has been dramatic and consistent.

44 14DoseLogDan, SleepFixSam, PurityPaulOR and 41 others
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PharmD_Rodriguez
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May 3, 2024 at 8:26 AM#8
anders_CPH said:
Patient selection optimization for glycaemic control: emerging predictive biomarkers for GLP-1 agonist response include: Biomarker Association…

Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 39% to 19%. 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.

43 13robert_kc, dan_philly, MeganSA_TX and 40 others
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zoe_NC
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Charlotte, NC
May 3, 2024 at 10:24 AM#9

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

How would you tell the difference between that and the alternative explanation?

42 12NicoleRaleigh, james_edin, FranDenver and 39 others
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DoseLogDan
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Montana
May 3, 2024 at 7:51 PM#10
PharmD_Rodriguez said:
Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 39% to 19%.

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

TestBaselineMonth 3Month 6Month 12
Glucose (fasting)1201028886
Insulin (fasting)261686
HOMA-IR4.54.11.61.4
Uric Acid8.87.05.55.1

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.

Last edited: May 3, 2024 at 8:51 PM
26 1carlos_SATX, sophie_paris, mel_PDX and 23 others
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