High Body Mass Index is Associated with Elevated Blood Levels of Progerin mRNA.
Moritz MessnerSanthosh Kumar GhadgeThomas SchuetzHerbert SeiringerGerhard PölzlMarc-Michael ZarubaPublished in: International journal of molecular sciences (2019)
Obesity is a well-described risk factor resulting in premature aging of the cardiovascular system ultimately limiting longevity. Premature cardiac death and aging is the hallmark of Hutchinson-Gilford syndrome (HGPS), a disease caused by defined mutations in the lamin A gene leading to a shortened prelamin A protein known as progerin. Since small amounts of progerin are expressed in healthy individuals we aimed to investigate the association of Body-Mass-Index (BMI) with respect to expression of progerin mRNA in blood samples of patient with known cardiovascular disease. In this cross-sectional retrospective analysis, 111 patients were consecutively included of which 46 were normal (BMI < 25 kg/m2) and 65 overweight (BMI ≥ 25.0 kg/m2). Blood samples were analyzed for quantitative expression of progerin mRNA. Progerin as well as high-sensitive C-Reactive Protein (hs-CRP) levels were significantly upregulated in the overweight group. Linear regression analyses showed a significant positive correlation of BMI and progerin mRNA (n = 111; r = 0.265, p = 0.005), as well as for hs-CRP (n = 110; r = 0.300, p = 0.001) and for Hb1Ac (n = 110; r = 0.336, p = 0.0003). Our data suggest that BMI strongly correlates with progerin mRNA expression and inflammation. Progerin might contribute to well described accelerated biologic aging in obese individuals.
Keyphrases
- body mass index
- weight gain
- weight loss
- binding protein
- physical activity
- cardiovascular disease
- poor prognosis
- end stage renal disease
- cross sectional
- rheumatoid arthritis
- chronic kidney disease
- type diabetes
- metabolic syndrome
- oxidative stress
- heart failure
- gene expression
- case report
- genome wide
- prognostic factors
- machine learning
- long non coding rna
- left ventricular
- cardiovascular risk factors
- transcription factor
- amino acid
- copy number
- peritoneal dialysis
- artificial intelligence