scholarly journals TNF-α and Hyperandrogenism: A Clinical, Biochemical, and Molecular Genetic Study

2001 ◽  
Vol 86 (8) ◽  
pp. 3761-3767 ◽  
Author(s):  
Héctor F. Escobar-Morreale ◽  
Rosa M. Calvo ◽  
José Sancho ◽  
José L. San Millán
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Mass ◽  
Molecular Genetic ◽  
Molecular Genetic Study ◽  
Tnf Α ◽  
Serum Androgens ◽  
17 Hydroxyprogesterone ◽  
The Relationship

To evaluate the role of TNF-α in the pathogenesis of hyperandrogenism, we have evaluated the serum TNF-α levels, as well as several polymorphisms in the promoter region of the TNF-α gene, in a group of 60 hyperandrogenic patients and 27 healthy controls matched for body mass index. Hyperandrogenic patients presented with mildly increased serum TNF-α levels as compared with controls (mean[median] ± sd: 7.2[7.0] ± 3.3 pg/ml vs. 5.6[4.4] ± 4.0 pg/ml, P < 0.02). Although no differences in body mass index and insulin resistance indexes were observed between patients and controls, when subjects were classified by body weight, serum TNF-α was increased only in lean patients as compared with lean controls, but this difference was not statistically significant when comparing obese patients with obese controls. The TNF-α gene polymorphisms studied here (−1196C/T, −1125G/C,− 1031T/C, −863C/A, −857C/T, −316G/A, −308G/A, −238G/A, and− 163G/A) were equally distributed in hyperandrogenic patients and controls. However, carriers of the −308A variant presented with increased basal and leuprolide-stimulated serum androgens and 17-hydroxyprogesterone levels when considering patients and controls as a group. No differences were observed in serum TNF-α levels, body mass index, and insulin resistance indexes, depending on the presence or absence of these variants. In conclusion, our present results suggest that the TNF-α system might contribute to the pathogenesis of hyperandrogenism, independent of obesity and insulin resistance. However, elucidation of the precise mechanisms underlying the relationship between the TNF-α system and androgen excess is needed before considering TNF-α as a significant contributing factor to the development of hyperandrogenism.

scholarly journals Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Sleep Duration ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
High Systolic Blood Pressure ◽  
Television Time ◽  
The Relationship ◽  
Moderating Role

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.

scholarly journals Circulating Adiponectin Is Associated with Obesity and Serum Lipids in West Africans

2010 ◽  
Vol 95 (7) ◽  
pp. 3517-3521 ◽  
Author(s):  
Katherine G. Meilleur ◽  
Ayo Doumatey ◽  
Hanxia Huang ◽  
Bashira Charles ◽  
Guanjie Chen ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Mass ◽  
Serum Lipids ◽  
Density Lipoprotein ◽  
Human Populations ◽  
Model Assessment ◽  
Serum Triglycerides ◽  
And Gender ◽  
The Relationship

Context: Adiponectin, a hormone secreted by adipose tissue, has both metabolic and antiinflammatory properties. Although multiple studies have described the relationship between adiponectin and obesity in several human populations, no large studies have evaluated this relationship in Africans. Objective: We investigated the relationship between adiponectin and measures of obesity, serum lipids, and insulin resistance in a large African cohort. Design: Participants are from the Africa America Diabetes Mellitus (AADM) Study, a case-control study of genetic and other risk factors associated with development of type 2 diabetes in Africans. Setting: Patients were recruited from five academic medical centers in Nigeria and Ghana (Accra and Kumasi in Ghana and Enugu, Ibadan, and Lagos in Nigeria) over 10 yr. Main Outcome Measures: Circulating adiponectin levels were measured in 690 nondiabetic controls using an ELISA. The correlation between log-transformed circulating adiponectin levels and age, gender, measures of obesity (body mass index, waist circumference, and percent fat mass), and serum lipid levels was assessed. Linear regression was used to explore the association between adiponectin levels and measures of obesity, lipids, and insulin resistance as measured by homeostasis model assessment. Results: Significant negative associations were observed between log-adiponectin levels and measures of obesity after adjusting for age and gender. Similarly, log-adiponectin levels were significantly negatively associated with serum triglycerides and insulin resistance but positively associated with high-density lipoprotein-cholesterol and total cholesterol after adjusting for age, gender, and body mass index. Conclusions: Circulating adiponectin is significantly associated with measures of obesity, serum lipids, and insulin resistance in this study of West African populations.

Ultrasound characteristics of osteophytes in psoriatic arthritis

2020 ◽  
pp. 49-52
Author(s):  
I. F. Fairushina ◽  
E. R. Kirillova ◽  
D. I. Abdulganieva ◽  
E. V. Sukhorukova ◽  
E. I. Mukhametshina
Keyword(s):  
Body Mass Index ◽  
Psoriatic Arthritis ◽  
Data Collection ◽  
Body Mass ◽  
Clinical Characteristics ◽  
Power Doppler ◽  
Structural Components ◽  
Grey Scale ◽  
The Relationship

Objective. To assess the relationship between ultrasound and clinical characteristics of psoriatic arthritis (PsA) and osteophytes detected by ultrasound (US).Methods. Data collection: demographical, clinical, antropometric (body mass index, BMI). US examination included 868 joints and 3348 entheses (bilateral shoulders, acromioclavicular joints, elbows, wrists, hips, knees, ankles; entheses at the projection of these joints (total number is 54). In the joints – synovitis count, Power Doppler (PD) + synovitis count (SC), the number of joints with osteophytes; in entheses – Grey Scale (GS) enthesitis count (EC), PD + EC, count of entheses with structural components (erosion, enthesophytes, calcification).Results. In all, 62 PsA patients were examined: 32 (51.6%) were women, mean age was 43.0 ± 10.4 years, the duration of PsA was 7 (3; 10) years. The number of joints with osteophytes was 314 of 868 (36.2%). US osteophytes were detected in 51 (82.3%) patients. The number of joints with osteophytes correlated with GS EC (r = 0.398; p < 0.01), PD + EC (r = 0.302; p < 0.05), SC (r = 0.425; p < 0.01), and PD + SC (r = 0.322; p < 0.05). Patients without osteophytes, with local and generalized osteophytes were comparable by sex and duration of the disease. In patients with generalized osteophytes, GS EC (p < 0.05), PD + SC (p < 0.05), SC (p < 0.01), comorbid pathology (p < 0.05), BMI (p < 0.05) were significantly higher.Conclusion. The frequency of osteophytes in patients with PsA was high. The number of synovitis and enthesitis, both GC and PD+, was more common in patients with generalized osteophytes, which probably suggests an important role of entheseal and synovial inflammation in PsA in the development of osteophytes. BMI and the frequency of comorbidities in patients with generalized osteophytes were higher.

The mediating role of energy intake on the relationship between screen time behaviour and body mass index in adolescents with obesity: The HEARTY study

Appetite ◽  
2016 ◽  
Vol 107 ◽  
pp. 437-444 ◽  
Author(s):  
Jameason D. Cameron ◽  
Danijela Maras ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Michael M. Borghese ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Energy Intake ◽  
Body Mass ◽  
Screen Time ◽  
Time Behaviour ◽  
Mediating Role ◽  
The Relationship

scholarly journals Hypertension in pregnancy: Role of body mass index, insulin resistance, aldosterone, and calcium homeostasis

2019 ◽  
Vol 21 (5) ◽  
pp. 624-626 ◽  
Author(s):  
Decio Armanini ◽  
Alessandra Andrisani ◽  
Guido Ambrosini ◽  
Gabriella Donà ◽  
Luciana Bordin ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Mass ◽  
Calcium Homeostasis ◽  
Hypertension In Pregnancy ◽  
In Pregnancy

Do sleep quality and caffeine consumption mediate the relationship between late chronotype and body mass index?

2021 ◽  
Author(s):  
Mahmut Bodur ◽  
Büşra Başpınar ◽  
Ayşe Özfer Özçelik
Keyword(s):  
Body Mass Index ◽  
Sleep Quality ◽  
Body Mass ◽  
Caffeine Consumption ◽  
Beverage Consumption ◽  
The Relationship

Aim: To determine the role of sleep quality and caffeinated beverage consumption in the effect of late chronotype on body mass index (BMI). Materials and methods: The study consisted of...

scholarly journals Superior Role of Waist Circumference to Body-Mass Index in the Prediction of Cardiometabolic Risk in Dyslipidemic Patients

2019 ◽  
pp. 931-938
Author(s):  
Ľ. Cibičková ◽  
K. Langová ◽  
H. Vaverková ◽  
J. Lukeš ◽  
N. Cibiček
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Predictive Values ◽  
High Bmi

Coronary risk evaluation by conventional factors (age, gender, smoking, blood pressure and cholesterol) may further be specified by facets of the metabolic syndrome, namely insulin resistance, hypertriglyceridemia and obesity. Although obesity is usually defined as elevated body mass index (BMI), recent data indicate a superior role of waist circumference or hypertri-glyceridemic waist (HTGW) over BMI in the assessment of cardiometabolic risk. In dyslipidemic patients, the specific contributions of risky waist, HTGW or BMI have not been evaluated as yet. 686 dyslipidemic subjects (322 males and 364 females) were enrolled into a cross-sectional study. In each subject basic antropometry (i.e. waist circumference, HTGW, BMI) and laboratory parameters of lipid profile and insulin resistance were determined. Cardiometabolic risk was given by fulfilling the criteria (harmonized definition) of metabolic syndrome. The significance of risky waist, HTGW and BMI were assessed by comparing the respective predictive values for the presence of metabolic syndrome. Dyslipidemic patients with risky waist, HTGW or high BMI have a more atherogenic lipid profile and higher insulin resistance compared to those without risky waist, HTGW or high BMI. Risky waist is stronger predictor of metabolic syndrome (PPV 66 %, NPV 90 %) and thus posesa greater cardiometabolic risk than higher BMI per se does (PPV 42 %, NPV 97 %). The contribution of triglycerides (i.e. HTGW) to these predictive values is marginal (PPV 66 %, NPV 92 %). The present results highlight the superior role of waist circumference as a screening tool over BMI for the evaluation of cardiometabolic risk in dyslipidemic subjects. HTGW brings little additional benefit in risk stratification. Lower BMI proved to be optimal for identifying the subjects with inferior risk.

Increase of body mass index (BMI) from 1.5 to 3 years of age augments the degree of insulin resistance corresponding to BMI at 12 years of age

2017 ◽  
Vol 30 (4) ◽  
Author(s):  
Osamu Arisaka ◽  
Toshimi Sairenchi ◽  
Go Ichikawa ◽  
Satomi Koyama
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Birth Cohort ◽  
Body Mass ◽  
Early Growth ◽  
Growth Patterns ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model ◽  
The Relationship

Abstract:To elucidate the effect of early growth patterns on the metabolic sensitivity to adiposity, we examined the relationship between the homeostatic model assessment of insulin resistance (HOMA-IR) and body mass index (BMI) levels at 12 years of age in 101 boys and 91 girls in a birth cohort. Children with an increase in BMI from the ages of 1.5 to 3 years exhibited a greater increase of HOMA-IR per BMI increase at 12 years of age compared to those with a decrease in BMI or stable BMI from 1.5 to 3 years. This suggests that children who show an increase in BMI from 1.5 to 3 years, a period normally characterized by a decreased or stable BMI, are more prone to developing insulin resistance at 12 years of age.

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