Jerry Greenfield

Jerry Greenfield


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 February 2016 in Obesity
Verified
Journal Article
Open access
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KTKatherine T. Tonks
Katherine T. Tonks
ACAdelle Cf Coster
Adelle Cf Coster
MCMichael J. Christopher
Michael J. Christopher
RCRima Chaudhuri
Rima Chaudhuri
AXAimin Xu
Aimin Xu
Dorit Samocha-BonetDorit Samocha-Bonet
Dorit Samocha-Bonet
Objective: Alterations in lipids in muscle and plasma have been documented in insulin‐resistant people with obesity. Whether these lipid alterations are a reflection of insulin resistance or obesity remains unclear.Methods: Nondiabetic sedentary individuals not treated with lipid‐lowering medications were studied (n = 51). Subjects with body mass index (BMI) > 25 kg/m2 (n = 28) were stratified based on median glucose infusion rate during a hyperinsulinemic‐euglycemic clamp into insulin‐sensitive and insulin‐resistant groups (above and below median, obesity/insulin‐sensitive and obesity/insulin‐resistant, respectively). Lean individuals (n = 23) served as a reference group. Lipidomics was performed in muscle and plasma by liquid chromatography electrospray ionization‐tandem mass spectrometry. Pathway analysis of gene array in muscle was performed in a subset (n = 35).Results: In muscle, insulin resistance was characterized by higher levels of C18:0 sphingolipids, while in plasma, higher levels of diacylglycerol and cholesterol ester, and lower levels of lysophosphatidylcholine and lysoalkylphosphatidylcholine, indicated insulin resistance, irrespective of overweight/obesity. The sphingolipid metabolism gene pathway was upregulated in muscle in insulin resistance independent of obesity. An overweight/obesity lipidomic signature was only apparent in plasma, predominated by higher triacylglycerol and lower plasmalogen species.Conclusions: Muscle C18:0 sphingolipids may play a role in insulin resistance independent of excess adiposity.

1 April 2016 in Cell Metabolism
Verified
Journal Article
Closed access
PLPaul Lee
Paul Lee
RBRon Bova
Ron Bova
LSLynne Schofield
Lynne Schofield
WBWendy Bryant
Wendy Bryant
WDWilliam Dieckmann
William Dieckmann
JGJerry Greenfield
Jerry Greenfield

1 July 2011 in The Journal of Nutrition
Verified
Journal Article
Open access
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Dorit Samocha-BonetDorit Samocha-Bonet
Dorit Samocha-Bonet
OWOlivia Wong
Olivia Wong
ESEmma-Leigh Synnott
Emma-Leigh Synnott
NPNaomi Piyaratna
Naomi Piyaratna
ADAshley Douglas
Ashley Douglas
JGJerry Greenfield
Jerry Greenfield
Impaired glucagon-like peptide (GLP-1) secretion or response may contribute to ineffective insulin release in type 2 diabetes. The conditionally esse

23 January 2017 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Closed access
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KTKatherine T. Tonks
Katherine T. Tonks
CWChristopher P. White
Christopher P. White
JCJacqueline R. Center
Jacqueline R. Center
Dorit Samocha-BonetDorit Samocha-Bonet
Dorit Samocha-Bonet
JGJerry Greenfield
Jerry Greenfield
Context: The contribution of insulin resistance vs adiposity to bone mineral density (BMD), bone turnover, and fractures in humans remains unclear. Objective: To evaluate BMD and bone turnover markers (BTMs) in lean (n = 18) and overweight/obese individuals with (n = 17) and without (n = 34, insulin-sensitive [Obsensitive, n=15] or insulin-resistant [Obresistant, n=19] by homeostasis model assessment insulin resistance) diabetes mellitus. Design: Observational study. Outcome measures: Insulin sensitivity was assessed using the hyperinsulinemic-euglycemic clamp; whole body BMD and fat mass (FM) using dual energy X-ray absorptiometry; and by measurement of BTMs [osteocalcin (OC), procollagen type 1 N-terminal propeptide (P1NP), and collagen type 1 cross-linked C-terminal telopeptide (CTx)], with the patient fasting and during clamp hyperinsulinemia. Results: Fasting BTMs correlated with glucose infusion rate/fat-free mass (GIR/FFM) and adiponectin and, inversely, with fasting insulin and visceral fat (P ≤ 0.04 for all). Obsensitive, Obresistant, and diabetic individuals were matched by their FM percentage. Clamp GIR/FFM was similar in the lean and Obsensitive subjects (P = 1) and approximately twofold greater (P < 0.001) than in the Obresistant and diabetic subjects. BMD was greater in Obresistant than in Obsensitive (P = 0.04) and lean (P = 0.001) subjects. At baseline, compared with Obsensitive and lean subjects, Obresistant and diabetic individuals had lower OC, P1NP, and CTx levels. This reached statistical significance for Obresistant vs lean and Obresistant vs Obsensitive for both OC and CTx and for diabetic vs lean for CTx (P ≤ 0.04 for all). During hyperinsulinemia, lean individuals suppressed CTx more than did diabetic individuals (P = 0.03). On multiple regression analysis, visceral adiposity explained 16.7% and 19.3% of the baseline OC and CTx variability, respectively. Conclusions: Increased visceral adiposity and higher fasting insulin in insulin-resistant states are associated with lower fasting OC and CTx and failure to further suppress with more insulin.

1 November 2015 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Open access
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DCD. L. Chen
D. L. Chen
CLC. Liess
C. Liess
APAnne Poljak
Anne Poljak
AXA. Xu
A. Xu
JZJ. Zhang
J. Zhang
JGJerry Greenfield
Jerry Greenfield
Context: Whereas insulin resistance and obesity coexist, some obese individuals remain insulin sensitive. Objective: We examined phenotypic and metabolic factors associated with insulin sensitivity in both muscle and liver in obese individuals. Design and Participants: Sixty-four nondiabetic obese adults (29 males) underwent hyperinsulinemic (15 and 80 mU/m2 · min)-euglycemic clamps with deuterated glucose. Top tertile subjects for glucose infusion rate during the high-dose insulin clamp were assigned Musclesen and those in the lower two tertiles were assigned Muscleres. Secondarily, top tertile subjects for endogenous glucose production suppression during the low-dose insulin clamp were deemed Liversen and the remainder Liverres. Main Outcomes Measures: Clinical and laboratory parameters and visceral, subcutaneous, liver, and pancreatic fat were compared. Results: Musclesen and Muscleres had similar body mass index and total fat (P > .16), but Musclesen had lower glycated hemoglobin (P < .001) and systolic (P = .01) and diastolic (P = .03) blood pressure (BP). Despite similar sc fat (P = 1), Musclesen had lower visceral (P < .001) and liver (P < .001) fat. Liversen had lower visceral (P < .01) and liver (P < .01) fat and C-reactive protein (P = .02) than Liverres. When subjects were grouped by both glucose infusion rate during the high-dose insulin clamp and endogenous glucose production suppression, insulin sensitivity at either muscle or liver conferred apparent protection from the adverse metabolic features that characterized subjects insulin resistant at both sites. High-density lipoprotein-cholesterol, 1-hour glucose, systolic BP, and triglycerides explained 54% of the variance in muscle insulin sensitivity. Conclusions: Obese subjects who were insulin sensitive at muscle and/or liver exhibited favorable metabolic features, including lower BP, liver and visceral adiposity. This study identifies factors associated with, and possibly contributing to, insulin sensitivity in obesity.

10 January 2011 in Journal of Neuroendocrinology
Verified
Journal Article
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JGJerry Greenfield
Jerry Greenfield