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RESEARCH PRODUCT

Increasing adiposity in normal ovulatory women affects adipocytokine expression in subcutaneous and visceral abdominal fat

Enrico CarminaMichelene ChuP.a. VardhanaDrew V. TortorielloRogerio A. LoboCary Dicken

subject

AdultOvulationmedicine.medical_specialtySettore MED/09 - Medicina InternaAdipokineAdipose tissueIntra-Abdominal FatOverweightBody Mass IndexSettore MED/13 - EndocrinologiaInsulin resistanceAdipokinesADIPONECTIN OBESITY LEPTIN CARDIOVASCULAR RISK PCOS HYPERANDROGENISMInternal medicineHumansMedicineAdiposityAdiponectinbusiness.industryLeptinnutritional and metabolic diseasesObstetrics and GynecologyGeneral Medicinemedicine.diseaseSettore MED/40 - Ginecologia E OstetriciaObesitySubcutaneous Fat AbdominalEndocrinologyCase-Control StudiesFemaleInsulin Resistancemedicine.symptombusinessBody mass indexhormones hormone substitutes and hormone antagonists

description

Abstract Objective To determine which adipocytokines are differentially expressed as a function of body mass index (BMI), to compare expression of adipocytokines in abdominal subcutaneous and omental fat, and to correlate these findings with serum levels, BMI, and parameters of insulin resistance. Methods Serum and subcutaneous (sc) and omental (om) tissue were obtained from lean and obese ovulatory women undergoing gynecologic surgery. We determined adipocytokine expression in sc versus om abdominal fat and related this to increasing BMI. Results Serum leptin was higher and adiponectin lower in overweight subjects. Adipocytokines had higher expression in sc abdominal versus om adipose tissue with the most significant difference observed for leptin (P = 0.01). As BMI increased, sc leptin expression increased and adiponectin expression decreased. The leptin/adiponectin ratio correlated significantly with BMI (R = 0.84, P = 0.0001). Conclusion Increased adipocytokine expression correlates with BMI. Abdominal sc tissue has greater adipocytokine expression overall. The serum leptin/adiponectin ratio is highly correlated with BMI. These data may help in our understanding of how obesity affects women in a variety of ways.

https://doi.org/10.1016/j.ijgo.2008.10.006