scholarly journals Interaction Between Caveolin-1 Polymorphism with Dietary Fat Quality Indices and the Relationship with Visceral Adiposity Index (VAI) and Body Adiposity Index (BAI) Among Overweight and Obese Women: A Cross-Sectional Study

Author(s):  
Rasool Ghaffarian Ensaf ◽  
Farideh Shiraseb ◽  
Atieh Mirzababaei ◽  
Cain Clark ◽  
Khadijeh Mirzaei

Abstract Background & Aims: Caveolin-1(CAV-1) in adipocyte tissue, and other parts of body, possess numerous biological functions. In the present study, we sought to investigate the interaction between CAV-1 polymorphism with dietary fat quality indices and the relationship with visceral adiposity index (VAI) and body adiposity index (BAI) among overweight and obese women. Methods This study was conducted on 386 women, aged 18-48 years old. Biochemical measurements were measured by standard protocols. We used a food frequency questionnaire (FFQ) to calculate the dietary intake and the indices of dietary fat quality intake. Anthropometric values and body composition were measured by standard methods. Finally, the CAV-1 genotype was measured using PCR-RFLP method. Results We found a marginally significant difference in waist-to-hip ratio (WHR) (P=0.06) and BAI (P=0.06) of participants, after adjusting with potential cofounders. For dietary intakes, after adjusting with the energy intake, mean differences in biotin (P=0.04) and total fiber (P=0.06) were significant and marginally significant, respectively. The interaction between two risk allele genotype group (AA) with omega-6 to omega-3 ratio (W6/W3) on BAI, after adjustment with potential cofounders (age, physical activity, energy intake, education), was marginally positive (β = 14.08, 95%CI= -18.65,46.81, P= 0.07). In comparison to the reference group (GG), there was a positive interaction between the two risk allele (AA) with W6/W3 ratio on VAI (β = 2.81, 95%CI= 1.20,8.84, P= 0.06) in the adjusted model. Conclusions We found that there may be an interaction between CAV-1 genotypes with dietary quality fat indices on VAI and BAI among overweight and obese women.

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2666 ◽  
Author(s):  
Wei-Lun Wen ◽  
Chih-Wen Wang ◽  
Da-Wei Wu ◽  
Szu-Chia Chen ◽  
Chih-Hsing Hung ◽  
...  

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.


2020 ◽  
Author(s):  
Maryam sadat Mousavi javardi ◽  
Zahra Madani ◽  
Majid Karandish ◽  
Ariyo Movahedi ◽  
Behnood Abbasi

Abstract Background and aim: Abnormalities in lipid metabolism are commonly observed in patients who were obese. Alongside dyslipidemia, one of the markers in predicting the risk of cardiovascular disease is the Atherogenic Index of Plasma (AIP), which is related to dietary intake. Healthy fat quality indices, including Atherogenicity (AI) and Thrombogenicity (TI) hypo/hypercholesterolemic ratio (h/H), the Cholesterol-Saturated Fat Index (CSI) and ω-3/ω-6 ratio might have an effect on AIP. The purpose of this study is to find the possible relationship between dietary fat quality, and AIP and comparison of these indices among obese and non-obese volunteers.Methods: This study was a cross-sectional descriptive-analytic case-control study with 157 normal and overweight and obese volunteers (n=71 normal vs n=86 overweight and obese) in the age range of 18-65 years. Food intake, anthropometric indices, body composition, and lipid profile were measured. Results: Based on the present results, comparable biochemical parameters including TC (P=0.580), TG (P=0.362) and LDL (P=0.687) and HDL (P=0.151) among overweight/obese volunteers as compared to normal ones were noticed. Results of dietary fat quality, including Atherogenicity (AI) and Thrombogenicity (TI) hypo/hypercholesterolemic ratio (h/H), the Cholesterol-Saturated Fat Index (CSI) showed significantly higher AI (P=0.012) in the overweight/obese group as compared to the normal group. Whereas, h/H (P=0.034) and ω-6/ω-3 ratio (P=0.004) were significantly higher in normal weight volunteers. There was a positive correlation between AI, TI, CSI, SFA, MUFA, PUFA and ω-6/ω-3 ratio with AIP and negative correlation between h/H with AIP in both groups. Despite significancies of these corelations no strong relation was observed by doing multiple regression among normal and overweight/obese groups (R2=0.210, R2=0.387).Conclusions: In summary, the present study suggest a direct relationship between dietary fat quality, increased BMI, and lipid abnormalities with AIP. However, further large-scale studies are needed to have a clear conclusion in this regard.


2021 ◽  
Author(s):  
Faezeh Abaj ◽  
Said Abdul Ghafour Saeedy ◽  
Khadijeh Mirzaei

Abstract Objectives Associations are present between insulin resistance (IR) and dyslipidemia and cardiometabolic factors. Caveolin-1 (CAV1) is involved in glucose/lipid homeostasis and may modulate IR signaling. We investigated the relationship between CAV1 and IR signaling in modulating dyslipidemia and fat composition in overweight and obese women with a prevalent variant in the CAV1 gene. Results There were no statistical differences in FPG, plasma insulin, and HOMA-IR (p > 0.05) between CAV1 variants. Individuals with AA and AG alleles were slightly older and had higher BMI, FMI, and VLF values; and tended to have lower total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) (p < 0.05). HOMA-IR levels predicted fat mass index (FMI) 0.47 (0.08,0.87), visceral fat level (VFL) 0.65 (0.23,1.07), TC 6.82 (1.76,11.88) and HDL-C -1.663 (-3.11, -0.214) only between minor allele carriers in unadjusted and adjusted models. (, CI (P < 0.01). Our r


2020 ◽  
Author(s):  
Maryam sadat Mousavi javardi ◽  
Zahra Madani ◽  
Majid Karandish ◽  
Ariyo Movahedi ◽  
Behnood Abbasi

Abstract Background and aim: Abnormalities in lipid metabolism are commonly observed in patients who were obese. Alongside dyslipidemia, one of the markers in predicting the risk of cardiovascular disease is the Atherogenic Index of Plasma (AIP), which is related to dietary intake. Healthy fat quality indices might affect on AIP. The purpose of this study is to find the possible relationship between dietary fat quality, and AIP and comparison of these indices among obese and non-obese volunteers.Methods: This study was a cross-sectional descriptive-analytic case-control study with 157 normal and overweight and obese volunteers (n=71 normal, Age: 38.90±10.976 vs n=86 overweight/obese, Age: 38.60±9.394) in the age range of 18-65 years. Food intake was measured using FFQ, anthropometric indices (weight, height, body mass index and waist to hip ratio), body composition (visceral fat level, total body water, body fat mass), and lipid profile were measured.Results: Based on the present results, comparable biochemical parameters including TC (P=0.580), TG (P=0.362), LDL (P=0.687) and HDL (P=0.151) among overweight/obese volunteers as compared to normal ones were noticed. Effects of dietary fat quality, including Atherogenicity (AI) and Thrombogenicity (TI) hypo/hypercholesterolemic ratio (h/H), the Cholesterol-Saturated Fat Index (CSI) showed significantly higher AI (P=0.012) in the overweight/obese group as compared to the normal group. Whereas, h/H (P=0.034) and ω-6/ω-3 ratio (P=0.004) were significantly higher in normal-weight volunteers. There was a positive correlation between AI, TI, CSI, SFA, MUFA, PUFA and ω-6/ω-3 ratio with AIP and negative correlation between h/H with AIP in both groups. Despite the significances of these correlations no strong relation was observed by doing multiple regression among normal and overweight/obese groups (R2=0.210, R2=0.387).Conclusions: In summary, the present work proposes a direct relationship between dietary fat quality, increased BMI, and lipid abnormalities with AIP. Nevertheless, further large-scale studies are required to sustain a clear conclusion in this wish.


2021 ◽  
Vol 12 (2) ◽  
pp. 163-168
Author(s):  
K.F. Kayode ◽  
Y.A. Abdullahi ◽  
I.M. Badamasi

Body adiposity index (BAI) is documented to exhibit significant relationship with the component of metabolic syndromes (MetS) including serum glucose. The relationship between BAI and serum glucose among postmenopausal women has not been well studied. This study was aimed at determining the relationship between BAI and serum glycemic level among postmenopausal women. The study design was observational crosssectional. Fasting serum glucose was obtained via superficial vein venipuncture after at least eight hours of meal and was analysed following standard biochemical procedure. Standard techniques for anthropometric measurement were used in obtaining the standard parameters. Chi-square was used to determine the relationship between body mass index (BMI) and clinically accepted categorical subdivision of fasting blood sugar (FBG). A total of 156 postmenopausal women with mean age of 62.70 ± 12.84 years, height (1.58 ± 0.07) m, weight (67.30 ± 17.68) kg, hip circumference (99.94 ± 12.75) cm, waist circumference (86.56 ± 14.25) cm, BAI (32.61 ± 6.78), BMI (27.05 ± 6.90) kh/m2  and fasting blood sugar (FBS) (5.21 ± 2.78mmol/L) were assessed in the here was significant positive correlation between BAI and BMI (r = 0.877, P = 6.97x10-51) and not between BAI and FBG (r = 0.026, P = 0.748). In conclusion BAI was not significantly associated with serum glycemic level among post-menopausal women.


2021 ◽  
Vol 77 (3) ◽  
pp. 168-177
Author(s):  
Fangcen Liu ◽  
Jielei He ◽  
Ye Zhu ◽  
Hongdong Wang ◽  
Wenhuan Feng ◽  
...  

<b><i>Background/Aims:</i></b> Roux-en-Y gastric bypass (RYGB) is one of the most effective therapies for morbid obesity, yet some patients who have taken the surgery still undergo insufficient weight loss. Visceral adiposity index (VAI), lipid accumulation product (LAP), body adiposity index (BAI), and cardiometabolic index (CMI) have been regarded as clinical indicators of adiposity phenotypes that associated closely with obesity-related metabolic diseases. However, no studies have evaluated the relationship between these indexes and weight loss after bariatric surgery. In this prospective study, we aimed to evaluate whether VAI, LAP, BAI, and CMI would predict postoperative weight loss outcomes after RYGB. <b><i>Methods:</i></b> This study included 38 men and 67 women who have undergone RYGB between January 2017 and May 2018 and recorded their %TWL (percent of total weight loss), %EBMIL (percent of excess body mass index loss), %EWL (percent of excess weight loss), anthropometric indices, and biochemical parameters before and 12 months after the surgery. In addition, VAI, LAP, BAI, and CMI were measured with anthropometric measures or lipid profiles using related equations and analyzed with metabolic characteristics. <b><i>Results:</i></b> Subjects with lower BAI (&#x3c;32.54 in men and 37.39 in women) displayed higher %EBMIL and %EWL 12 months after surgery. BAI was independently associated with %EWL 12 months after surgery in both men and women (both <i>p</i> &#x3c; 0.05). The area under the receiver operating characteristic curve for BAI was significantly higher (0.773 in men and 0.818 in women) than VAI, LAP, and CMI. <b><i>Conclusions:</i></b> BAI serves as a reliable surrogate marker of the weight loss outcome after RYGB. The predictivity of adiposity indexes in beneficial outcomes after weight loss therapies is of important referential value for the implementation and optimization of individualized and refined weight loss treatments for obese patients.


2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A966.4-A967 ◽  
Author(s):  
G. Pistone ◽  
P. Vitale ◽  
M. Catanoso ◽  
P. Macchioni ◽  
S. Corrao ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document