Tracey McLaughlin

Tracey McLaughlin, MD, MS, Professor, Department of Medicine, Division of Endocrinology, Gerontology and Metabolism, Stanford University School of Medicine 

Research Description: Dr. McLaughlin’s research program over the past 18 years has made important contributions to our understanding of the relationship been obesity and insulin resistance. Early studies defined the metabolic heterogeneity in overweight to moderately obese individuals and characterized responses in cardiometabolic risk factors to various dietary interventions. More recent studies include detailed analyses of adipose tissue/cells and how they respond to dietary and weight loss/gain manipulations. Her laboratory is actively committed to collaborating with multiple basic science laboratories at Stanford to yield innovative and transformative research related to the biology of human adipose tissue and its role in insulin resistance.

Selected relevant publications (Stanford DRC Members in BOLD):

  1. Tan M, Lamendola C, Luong R, McLaughlin T, Craig C. Safety, efficacy and pharmacokinetics of repeat subcutaneous dosing of avexitide (exendin 9-39) for treatment of post-bariatric hypoglycaemia. Diabetes Obes Metab. 2020 Aug;22(8):1406-1416. doi: 10.1111/dom.14048. PMID: 32250530. 

  2. Allister-Price C, Craig CM, Spielman D, Cushman SS, McLaughlin TL. Metabolic markers, regional adiposity, and adipose cell size: relationship to insulin resistance in African-American as compared with Caucasian women. Int J Obes (Lond). 2019 Jun;43(6):1164-1173. doi: 10.1038/s41366-018-0191-1. PMID: 30127463; PMCID: PMC6382609. 

  3. Fathzadeh M, Li J, Rao A, Cook N, Chennamsetty I, Seldin M, Zhou X, Sangwung P, Gloudemans MJ, Keller M, Attie A, Yang J, Wabitsch M, Carcamo-Orive I, Tada Y, Lusis AJ, Shin MK, Molony CM, McLaughlin T, Reaven G, Montgomery SB, Reilly D, Quertermous T, Ingelsson E, Knowles JW. FAM13A affects body fat distribution and adipocyte function. Nat Commun. 2020 Mar 19;11(1):1465. doi: 10.1038/s41467-020-15291-z. PMID: 32193374; PMCID: PMC7081215. 

  4. Nagy N, Sunkari VG, Kaber G, Hasbun S, Lam DN, Speake C, Sanda S, McLaughlin TL, Wight TN, Long SR, Bollyky PL. Hyaluronan levels are increased systemically in human type 2 but not type 1 diabetes independently of glycemic control. Matrix Biol. 2019 Jul;80:46-58. doi: 10.1016/j.matbio.2018.09.003. PMID: 30196101; PMCID: PMC6401354. 

  5. Metwally AA, Perelman D, Park H, Wu Y, Jha A, Sharp S, Celli A, Ayhan E, Abbasi F, Gloyn AL, McLaughlin T, Snyder M. Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework. medRxiv [Preprint]. 2024 Sep 9:2024.07.20.24310737. doi: 10.1101/2024.07.20.24310737. PMID: 39108516; PMCID: PMC11302614. 

  6. Park H, Metwally AA, Delfarah A, Wu Y, Perelman D, Rodgar M, Mayer C, Celli A, McLaughlin T, Mignot E, Snyder M. Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes. medRxiv [Preprint]. 2024 Sep 6:2024.09.05.24312545. doi: 10.1101/2024.09.05.24312545. PMID: 39281757; PMCID: PMC11398605. 

  7. Zahedani AD, McLaughlin T, Veluvali A, Aghaeepour N, Hosseinian A, Agarwal S, Ruan J, Tripathi S, Woodward M, Hashemi N, Snyder M. Digital health application integrating wearable data and behavioral patterns improves metabolic health. NPJ Digit Med. 2023 Nov 25;6(1):216. doi: 10.1038/s41746-023-00956-y. Erratum in: NPJ Digit Med. 2024 Jan 12;7(1):9. doi: 10.1038/s41746-024-00996-y. PMID: 38001287; PMCID: PMC10673832. 

  8. Lancaster SM, Lee-McMullen B, Abbott CW, Quijada JV, Hornburg D, Park H, Perelman D, Peterson DJ, Tang M, Robinson A, Ahadi S, Contrepois K, Hung CJ, Ashland M, McLaughlin T, Boonyanit A, Horning A, Sonnenburg JL, Snyder MP. Global, distinctive, and personal changes in molecular and microbial profiles by specific fibers in humans. Cell Host Microbe. 2022 Jun 8;30(6):848-862.e7. doi: 10.1016/j.chom.2022.03.036. Epub 2022 Apr 27. PMID: 35483363; PMCID: PMC9187607. 

  9. McLaughlin T, Schnittger I, Nagy A, Zanley E, Xu Y, Song Y, Nieman K, Tremmel JA, Dey D, Boyd J, Sacks H. Relationship Between Coronary Atheroma, Epicardial Adipose Tissue Inflammation, and Adipocyte Differentiation Across the Human Myocardial Bridge. J Am Heart Assoc. 2021 Nov 16;10(22):e021003. doi: 10.1161/JAHA.121.021003. Epub 2021 Nov 2. PMID: 34726081. 

  10. Nagy N, Kaber G, Sunkari VG, Marshall PL, Hargil A, Kuipers HF, Ishak HD, Bogdani M, Hull RL, Grandoch M, Fischer JW, McLaughlin TL, Wight TN, Bollyky PL. Inhibition of hyaluronan synthesis prevents β-cell loss in obesity-associated type 2 diabetes. Matrix Biol. 2023 Nov;123:34-47. doi: 10.1016/j.matbio.2023.09.003. Epub 2023 Sep 30. PMID: 37783236; PMCID: PMC10841470. 

  11. Metwally AA, Perelman D, Park H, Wu Y, Jha A, Sharp S, Celli A, Ayhan E, Abbasi F, Gloyn AL, McLaughlin T, Snyder MP. Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning. Nat Biomed Eng. 2024 Dec 23:10.1038/s41551-024-01311-6. doi: 10.1038/s41551-024-01311-6. Epub ahead of print. PMID: 39715896; PMCID: PMC12183321. 

  12. Park H, Metwally AA, Delfarah A, Wu Y, Perelman D, Mayer C, McGinity C, Rodgar M, Celli A, McLaughlin T, Mignot E, Snyder M. High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes. NPJ Digit Med. 2025 Jun 11;8(1):352. doi: 10.1038/s41746-025-01728-6. PMID: 40500312; PMCID: PMC12159136. 

  13. Wu Y, Ehlert B, Metwally AA, Perelman D, Park H, Brooks AW, Abbasi F, Michael B, Celli A, Bejikian C, Ayhan E, Lu Y, Lancaster SM, Hornburg D, Ramirez L, Bogumil D, Pollock S, Wong F, Bradley D, Gutjahr G, Rangan ES, Wang T, McGuire L, Venkat Rangan P, Ræder H, Shipony Z, Lipson D, McLaughlin T, Snyder MP. Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology. Nat Med. 2025 Jul;31(7):2232-2243. doi: 10.1038/s41591-025-03719-2. Epub 2025 Jun 4. PMID: 40467897; PMCID: PMC12283382.