Skip to content

Opening book details…

Can I read Accelerated Subcutaneous Abdominal Stem Cell Adipogenesis Predicts Insulin Sensitivity in Normal-weight Women with Polycystic Ovary Syndrome on EtoBox?

Accelerated Subcutaneous Abdominal Stem Cell Adipogenesis Predicts Insulin Sensitivity in Normal-weight Women with Polycystic Ovary Syndrome by Dumesic, Daniel A.; Tulberg, Ayli; Leung, Karen L.; Fisch, Samantha C.; Grogan, Tristan R.; Abbott, David H.; Naik, Rajanigandha; Chazenbalk, Gregorio D. is a Medicine article available to read on EtoBox.

What is Accelerated Subcutaneous Abdominal Stem Cell Adipogenesis Predicts Insulin Sensitivity in Normal-weight Women with Polycystic Ovary Syndrome about?

## Objective: To examine whether subcutaneous (sc) abdominal adipose stem cell differentiation into adipocytes in vitro predicts insulin sensitivity (si) in vivo in normal-weight women with polycystic ovary syndrome (pcos) and controls. ## Design: Prospective cohort study. ## Setting: Academic medical center. ## Patient(s): Eight normal-weight women with pcos and 8 age- and body mass index-matched controls. ## Intervention(s): Women underwent circulating hormone/metabolic determinations, intravenous glucose tolerance testing, total-body dual-energy x-ray absorptiometry, and sc abdominal fat biopsy. ## Main outcome measure(s): Pparγ and cebpa gene expression and lipid content of adipocytes matured in vitro were compared between women with pcos and control women, and correlated with patient characteristics, systemic si, and adipose insulin resistance (adipose-ir). ## Result(s): Serum androgen levels, adipose-ir, and percentage of android fat were greater in women with pcos than control women. stem cell pparγ and cebpa gene expression increased maximally by day 12 without a female-type effect. in control cells, gene expression positively correlated with fasting serum insulin levels (b

Who reads Accelerated Subcutaneous Abdominal Stem Cell Adipogenesis Predicts Insulin Sensitivity in Normal-weight Women with Polycystic Ovary Syndrome?

It is typically read by researchers, students, and practitioners in Medicine.

Author
Dumesic, Daniel A.; Tulberg, Ayli; Leung, Karen L.; Fisch, Samantha C.; Grogan, Tristan R.; Abbott, David H.; Naik, Rajanigandha; Chazenbalk, Gregorio D.
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 1556-5653)
Published
2020
Language
EN
Field
Medicine (Health Sciences)