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Bragina A, Rodionova Y, Druzhinina N, Suvorov A, Osadchiy K, Ishina T, Vasilchenko M, Khalenyan M, Dishkaya S, Podzolkov V. Relationship Between Perivascular Adipose Tissue and Cardiovascular Risk Factors: A Systematic Review and Meta-Analysis. Metab Syndr Relat Disord 2024; 22:1-14. [PMID: 37878791 DOI: 10.1089/met.2023.0097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2023] Open
Abstract
We conducted a systematic review and meta-analysis aimed at estimating the association between perivascular adipose tissue (PVAT) and some of the cardiovascular risk factors. A systematic search was conducted from January 1980 up to and including 2022 to identify studies that examined the relationship between PVAT and cardiovascular risk factors as obesity and its indices, hypertension, lipids, and glucose intolerance/diabetes. The Medline and Embase databases were searched using the PubMed and Scopus. Data were extracted from 23 studies that fit the criteria. To conduct meta-analysis, we used an approximation of equating the method of correlating assessment because different authors used either Pearson or Spearman correlation. Interrelations of PVAT and body mass index were analyzed in eight studies. Most studies revealed reliable direct correlation; the results of the meta-analysis also showed a significant (P = 0.37, P < 0.01, n = 12,346) correlation. PVAT and waist circumference were analyzed in six studies. Meta-analysis on the selected sample (n = 10,947) showed a significant (r = 0.45, P < 0.01) correlation. Relationship between PVAT and hypertension was revealed in three studies. Direct correlations were found in all studies. Meta-analysis showed the reliability of the correlation dependence (r = 0.21, P < 0.01, n = 3996). PVAT and blood glucose was evaluated in three studies (n = 3689). In each study a reliable (P < 0.05) direct correlation was obtained. Meta-analysis showed a significant correlation of weak strength (r = 0.24, P < 0.01). We demonstrated significant positive correlations of PVAT with the levels of total cholesterol (r = 0.05, P < 0.01), low-density lipoprotein cholesterol (r = 0.13, P < 0.01), and triglycerides (r = 0.29, P < 0.01), and a negative relationship with high-density lipoprotein cholesterol (r = -0.18, P < 0.01) in this meta-analysis. Despite some limitations, the findings of this systematic review and meta-analysis confirmed that PVAT significantly correlates with studied cardiovascular risk factors. Because PVAT presents a great interest in terms of cardiovascular remodeling and cardiovascular disease, its assessment in patients with and without cardiovascular pathology needs further research.
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Affiliation(s)
- Anna Bragina
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- World-Class Research Center "Digital biodesign and personalized healthcare," I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Yulia Rodionova
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- World-Class Research Center "Digital biodesign and personalized healthcare," I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Natalia Druzhinina
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- World-Class Research Center "Digital biodesign and personalized healthcare," I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Alexandr Suvorov
- World-Class Research Center "Digital biodesign and personalized healthcare," I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Konstantin Osadchiy
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Tatiana Ishina
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Maria Vasilchenko
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Milena Khalenyan
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Selen Dishkaya
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Valeriy Podzolkov
- Department of Faculty Therapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
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Podzolkov VI, Bragina AE, Osadchiy KK, Rodionova JN, Bayutina DA. Pararenalfat Tissue: Rate of Pararenal Obesity and Relation with Anthropometric Indices of Obesity. RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2022. [DOI: 10.20996/1819-6446-2022-09-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Aim. To study a rate of excessive pararenal fat tissue (PRFT) thickness and its relationship with anthropometric obesity indices.Material and methods. 372 patients (152 men and 220 women) were included in the study, the average age was 63.5±13.3 years. There were measured: height, weight, waist circumference (WC), hip circumference (HC), body mass index (BMI), WC/height ratio, sagittal abdominal diameter (SAD), body fat percentage (BFP), body surface area (BSA), body adiposity index (BAI) and visceral obesity index (VAI). All subjects underwent abdominal multispiral computed tomography. PRFT thickness was detected on a single slice at the level of the left renal vein.Results. 27% of the examined group had BMI<25 kg/m2, 28% – excessive body mass, 45% – obesity. The median PRFT thickness was 1.61 (1.03; 2.46) cm. There were correlations between PRFT thickness and glucose (r=0,64, p<0,05) and uric acid (r=0,46, p<0,05) levels. The threshold of referential PRFT thickness was 1,91cm. The rate of pararenal obesity was 9,9% among those with normal body mass, 29,3% in excessive body mass, 66,1% – in 1 class obesity, 67,7% – in 2 class, and 90,1% – in 3 class. The correlation analysis revealed a significant positive correlation between the PRFT thickness and obesity indices with exception of VAI and BAI: with BMI (r=0.43, p<0.05), WC (r=0.57, p<0.05), SAD (r=0.58, p<0.05), BFP (r=0.48, p<0.05), WC/height ratio (r=0.46, p<0.05), and BSA (r=0.58, p<0.05).Conclusion. Excessive PRFT may be detected isolated without any external anthropometric signs of obesity, wherein it is an active component of metabolic disorders typical for obesity. The most significant indices for the detection of pararenal obesity may be WC, SAD, and BSA.
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Affiliation(s)
- V. I. Podzolkov
- I.M. Sechenov First Moscow State Medical University (Sechenov University)
| | - A. E. Bragina
- I.M. Sechenov First Moscow State Medical University (Sechenov University)
| | - K. K. Osadchiy
- I.M. Sechenov First Moscow State Medical University (Sechenov University)
| | - J. N. Rodionova
- I.M. Sechenov First Moscow State Medical University (Sechenov University)
| | - D. A. Bayutina
- I.M. Sechenov First Moscow State Medical University (Sechenov University)
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