The Dynamic Platelet Transcriptome in Obesity and Weight Loss.

Pubmed ID: 33297754

Pubmed Central ID: PMC8105277

Journal: Arteriosclerosis, thrombosis, and vascular biology

Publication Date: Feb. 1, 2021

MeSH Terms: Humans, Male, Adult, Female, Aged, Cardiovascular Diseases, Middle Aged, Longitudinal Studies, Risk Assessment, Treatment Outcome, Young Adult, Prospective Studies, Incidence, Obesity, Time Factors, Weight Loss, Gene Expression Profiling, Gene Expression Regulation, Blood Platelets, High-Throughput Nucleotide Sequencing, Platelet Aggregation, Cardiometabolic Risk Factors, Bariatric Surgery, Gene Regulatory Networks, RNA-Seq, Transcriptome

Grants: N01HC25195, U54 HL112311, HHSN268201500001I, HHSN268201500001C, U01 HL126495, 16SFRN31740000

Authors: Shah S, Levy D, Larson MG, Tanriverdi K, Shah RV, Freedman JE, Ezzaty Mirhashemi M, Kitchen RR, Rong J, Spahillari A, Pico AR, Vitseva O, Demarco D, Iafrati MD

Cite As: Ezzaty Mirhashemi M, Shah RV, Kitchen RR, Rong J, Spahillari A, Pico AR, Vitseva O, Levy D, Demarco D, Shah S, Iafrati MD, Larson MG, Tanriverdi K, Freedman JE. The Dynamic Platelet Transcriptome in Obesity and Weight Loss. Arterioscler Thromb Vasc Biol 2021 Feb;41(2):854-864. Epub 2020 Dec 10.

Studies:

Abstract

OBJECTIVE: Adiposity is associated with oxidative stress, inflammation, and glucose intolerance. Previous data suggest that platelet gene expression is associated with key cardiometabolic phenotypes, including body mass index but stable in healthy individuals over time. However, modulation of gene expression in platelets in response to metabolic shifts (eg, weight reduction) is unknown and may be important to defining mechanism. Approach and Results: Platelet RNA sequencing and aggregation were performed from 21 individuals with massive weight loss (>45 kg) following bariatric surgery. Based on RNA sequencing data, we measured the expression of 67 genes from isolated platelet RNA using high-throughput quantitative reverse transcription quantitative PCR in 1864 FHS (Framingham Heart Study) participants. Many transcripts not previously studied in platelets were differentially expressed with bariatric surgical weight loss, appeared specific to platelets (eg, not differentially expressed in leukocytes), and were enriched for a nonalcoholic fatty liver disease pathway. Platelet aggregation studies did not detect alteration in platelet function after significant weight loss. Linear regression models demonstrated several platelet genes modestly associated with cross-sectional cardiometabolic phenotypes, including body mass index. There were no associations between studied transcripts and incident diabetes or cardiovascular end points. CONCLUSIONS: In summary, while there is no change in platelet aggregation function after significant weight loss, the human platelet experiences a dramatic transcriptional shift that implicates pathways potentially relevant to improved cardiometabolic risk postweight loss (eg, nonalcoholic fatty liver disease). Further studies are needed to determine the mechanistic importance of these observations.