Mauro CR, Nguyen BT, Yu P, Tao M, Gao I, Seidman MA, Nguyen LL, Ozaki CK. Inflammatory "adiposopathy" in major amputation patients.
Ann Vasc Surg 2013;
27:346-52. [PMID:
23498310 DOI:
10.1016/j.avsg.2012.07.017]
[Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2012] [Revised: 07/11/2012] [Accepted: 07/16/2012] [Indexed: 11/25/2022]
Abstract
BACKGROUND
Much has been made of obesity's health impact, largely founded on data regarding patient weight and circulating adipose-derived mediator levels. Paradoxically, a "healthy obese" state exists, but substantial knowledge gaps also exist regarding human adipose-phenotype determinants. Surgical major amputation (AMP) patients are the "sickest-of-the-sick." Conversely, elective knee replacement (TKR) is reserved for patients who expect continued health and longevity. To delineate human adipose biology variability and clinical determinants, we studied fresh subcutaneous adipose from AMP patients, using TKR patients as controls. We hypothesized that AMP patients would display a pro-inflammatory adipokine signature, and that certain clinical conditions (diabetes, hypertension, hyperlipidemia, high BMI, uremia) would independently drive elevated adipose inflammation.
METHODS
AMP (n = 29) and TKR (n = 20) adipose tissue samples and clinical data were collected prospectively, and protein was isolated and analyzed for 8 adipose-related mediators. Statistical analyses included Wilcoxon's rank sum test, Fisher's exact test, and multiple linear regression modeling of clinical parameter predictors of mediator expression.
RESULTS
Interleukin-(IL)-6, IL-8, leptin, resistin, and PAI-1 were differentially expressed (up to 200-fold) between AMP/TKR cohorts. Key clinical parameters that associated with protein levels of adipose phenotype included age, gender, hypertension, hyperlipidemia, congestive heart failure, cerebrovascular disease, renal disease, and warfarin, statin, and insulin use. BMI failed to be predictive.
CONCLUSIONS
AMP patients display adiposopathy with a pro-inflammatory adipose phenotypic signature compared with TKR controls. BMI fails to predict phenotype, yet other clinical conditions, such as age, hyperlipidemia, and renal insufficiency, do drive adipokine expression. Understanding human adipose phenotypic determinants stands as a fundamental priority when future studies dissect the interplay between adipose biology and surgical diseases/outcomes.
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