scholarly journals The circulating levels of CTRP5 and the ratio of CTRP1 to CTRP5 plasma levels are significant predictors for cIMT value in patients with type 2 diabetes: A case-control study

2020 ◽  
Author(s):  
Ziba Majidi ◽  
Abolfazl Omidifar ◽  
Solaleh Emamgholipour ◽  
Soheil Rahmani Fard ◽  
Hossein Poustchi ◽  
...  

Abstract Background: There is growing evidence that the C1qTNF-related protein (CTRP) family has a crucial role in the physiology and pathophysiology of metabolic disorders such as Type 2 Diabetes (T2D) and obesity. We sought to identify the association of CTRP1 and CTRP5 circulating levels with various obesity parameters such as visceral adipose tissue (VAT) thickness, visceral adiposity index (VAI), and with carotid intima-media thickness (cIMT) in patients with T2D and healthy subjects. Methods: This case-control study recruited subjects with T2D patients (n=42) as case group (all men) and without T2D (n=42) as controls (all men). cIMT and VAT thickness measurement was performed using an Accuvix XQ ultrasound. Circulating CTRP1 and CTRP5 concentrations were measured by enzyme-linked immunosorbent assay (ELISA). Results: CTRP-1 and CTRP1/CTRP5 ratio were markedly higher in patients with T2D compared to controls (p < 0001 and p = 0004 respectively). Interestingly, binominal logistic regression revealed that a higher circulating level of CTRP1 was associated with the presence of T2D (odds ratio [OR]: 13203.554 [95% CI: 65.186-2674407.708]; P=.000). When considering the study population as a whole, CTRP1 circulating levels were correlated with WHR, VAT, and HOMA-IR. Also, we observed that the ratio of CTRP1 to CTRP5 plasma levels (β = 0.648, P=0.005) and CTRP5 circulating levels (β = 0.444, P=0.049) are significant predictors for cIMT value. Conclusions: Our results indicated that CTRP1 and CTRP5 concentrations were correlated with atherosclerosis in human subjects and these adipokines might have a causal role for cardiometabolic risk in type 2 diabetes disease

2020 ◽  
Author(s):  
Ziba Majidi ◽  
Abolfazl Omidifar ◽  
Solaleh Emamgholipour ◽  
Soheil Rahmani Fard ◽  
Hossein Poustchi ◽  
...  

Abstract Background There is growing evidence that C1qTNF-related protein (CTRP) family has crucial role in physiology and pathophysiology of metabolic disorders such as Type 2 Diabetes (T2D) and obesity. We sought to identify the association of CTRP1 and CTRP5 circulating levels with various obesity parameters such as visceral adipose tissue (VAT) thickness, visceral adiposity index (VAI) and with carotid intima-media thickness (cIMT) in patients with T2D and healthy subjects. Methods This case- control study recruited 42 T2D patients and 42 healthy adults (all men). cIMT and VAT thickness measurement were performed using an Accuvix XQ ultrasound. Circulating CTRP1 and CTRP5 concentrations were measured by enzyme-linked immunosorbent assay (ELISA). Results CTRP-1 and CTRP1/CTRP5 ratio were markedly higher in patients with T2D compared to controls (p < 0001 and p < 0004 respectively). Interestingly, binominal logistic regression revealed that higher circulating level of CTRP1 was associated with presence of T2D (odds ratio [OR]: 13203.554 [95% CI: 65.186-2674407.708]; P=.000). When considering the study population as a whole, CTRP1 circulating levels were correlated with WHR, VAT and HOMA-IR. In addition, we observed that the ratio of CTRP1 to CTRP5 plasma levels (β = 0.648, P=0.005) and CTRP5 circulating levels (β = 0.4 44, P=0.049) are significant predictors for cIMT value. Conclusions Our results indicated that CTRP1 and CTRP5 concentrations were correlated with atherosclerosis in human subjects and these adipokines might have a causal role for cardiometabolic risk in type 2 diabetes disease


2016 ◽  
Vol 22 ◽  
pp. 183
Author(s):  
Shahjada Selim ◽  
Shahjada Selim ◽  
Shahabul Chowdhury ◽  
Mohammad Saifuddin ◽  
Marufa Mustary ◽  
...  

2018 ◽  
Vol 13 (3) ◽  
pp. 215-221 ◽  
Author(s):  
Francesco Ursini ◽  
Salvatore D`Angelo ◽  
Emilio Russo ◽  
Giorgio Ammerata ◽  
Ludovico Abenavoli ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e044486 ◽  
Author(s):  
Per Svensson ◽  
Robin Hofmann ◽  
Henrike Häbel ◽  
Tomas Jernberg ◽  
Per Nordberg

AimsThe risks associated with diabetes, obesity and hypertension for severe COVID-19 may be confounded and differ by sociodemographic background. We assessed the risks associated with cardiometabolic factors for severe COVID-19 when accounting for socioeconomic factors and in subgroups by age, sex and region of birth.Methods and resultsIn this nationwide case–control study, 1.086 patients admitted to intensive care with COVID-19 requiring mechanical ventilation (cases), and 10.860 population-based controls matched for age, sex and district of residency were included from mandatory national registries. ORs with 95% CIs for associations between severe COVID-19 and exposures with adjustment for confounders were estimated using logistic regression. The median age was 62 years (IQR 52–70), and 3003 (24.9%) were women. Type 2 diabetes (OR, 2.3 (95% CI 1.9 to 2.7)), hypertension (OR, 1.7 (95% CI 1.5 to 2.0)), obesity (OR, 3.1 (95% CI 2.4 to 4.0)) and chronic kidney disease (OR, 2.5 (95% CI 1.7 to 3.7)) were all associated with severe COVID-19. In the younger subgroup (below 57 years), ORs were significantly higher for all cardiometabolic risk factors. The risk associated with type 2 diabetes was higher in women (p=0.001) and in patients with a region of birth outside European Union(EU) (p=0.004).ConclusionDiabetes, obesity and hypertension were all independently associated with severe COVID-19 with stronger associations in the younger population. Type 2 diabetes implied a greater risk among women and in non-EU immigrants. These findings, originating from high-quality Swedish registries, may be important to direct preventive measures such as vaccination to susceptible patient groups.Trial registration numberClinicaltrial.gov (NCT04426084).


Author(s):  
Onofre Pineda ◽  
Victoria Stepenka ◽  
Alejandra Rivas-Motenegro ◽  
Nelson Villasmil-Hernandez ◽  
Roberto Añez ◽  
...  

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