scholarly journals Associations of genetic variants in/near body mass index-associated genes with type 2 diabetes: a systematic meta-analysis

2014 ◽  
Vol 81 (5) ◽  
pp. 702-710 ◽  
Author(s):  
Bo Xi ◽  
Fumihiko Takeuchi ◽  
Aline Meirhaeghe ◽  
Norihiro Kato ◽  
John C. Chambers ◽  
...  
Author(s):  
Lora-Pozo ◽  
Lucena-Anton ◽  
Salazar ◽  
Galán-Mercant ◽  
Moral-Munoz

Abstract: This study aims to evaluate the effectiveness of high-intensity interval training compared with no intervention and other types of training interventions for people with Type 2 Diabetes. A systematic review and meta-analysis of randomized controlled trials that used high-interval intensity training to improve anthropometric, cardiopulmonary and metabolic conditions were conducted. The search was performed during October–December 2017 using the databases PubMed, Web of Science and Physiotherapy Evidence Database (PEDro). The methodological quality of the studies was evaluated using the PEDro scale. A total of 10 articles were included in this meta-analysis. After statistical analysis, favorable results were obtained for high-Intensity Interval Training compared with control (non-intervention): [Weight: Standardized mean difference (SMD) = −2.09; confidence interval (CI) 95%: (−3.41; −0.78); body-mass index: SMD = −3.73; CI 95%: (−5.53; −1.93); systolic blood pressure: SMD = −4.55; CI 95%: (−8.44; −0.65); VO2max: SMD = 12.20; CI 95%: (0.26; 24.14); HbA1c: SMD = −3.72; CI 95%: (−7.34; −0.10)], moderate intensity continuous training: [body-mass index: SMD = −0.41; CI 95%: (−0.80; −0.03); VO2max: SMD = 1.91; CI 95%: (0.18; 3.64)], and low intensity training: [Weight: SMD = −2.06; CI 95%: (−2.80; −1.31); body-mass index: SMD = −3.04; CI 95%: (−5.16; −0.92); systolic blood pressure: SMD = −2.17; CI 95%: (−3.93; −0.41); HbA1c: SMD = −1.58; CI 95%: (−1.84; −1.33)]. The results show that high-intensity interval training can be a useful strategy in order to improve anthropometric, cardiopulmonary and metabolic parameters in people with Type 2 diabetes. Despite this, it could be essential to clarify and unify criteria in the intervention protocols, being necessary new lines of research.


PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0168247 ◽  
Author(s):  
Yeongkeun Kwon ◽  
Hyun Jung Kim ◽  
Sungsoo Park ◽  
Yong-Gyu Park ◽  
Kyung-Hwan Cho

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sepideh Soltani ◽  
Shima Abdollahi ◽  
Dagfinn Aune ◽  
Ahmad Jayedi

AbstractAlthough obesity has been associated with an increased cancer risk in the general population, the association in patients with type 2 diabetes (T2D) remains controversial. We conducted a dose–response meta-analysis of cohort studies of body mass index (BMI) and the risk of total and site-specific cancers in patients with T2D. A systematic literature search was conducted in PubMed, Scopus, and Medline until September 2020 for cohort studies on the association between BMI and cancer risk in patients with T2D. Summary relative risks (RRs) and 95% confidence intervals (CIs) were calculated using random effects models. Ten prospective and three retrospective cohort studies (3,345,031 participants and 37,412 cases) were included in the meta-analysis. Each 5-unit increase in BMI (kg/m2) was associated with a 6% higher risk of total cancer (RR: 1.06, 95% CI 1.01, 1.10; I2 = 55.4%, n = 6), and with a 12% increased risk in the analysis of breast cancer (RR: 1.12, 95% CI 1.05, 1.20; I2 = 0%, n = 3). The pooled RRs showed no association with prostate cancer (RR: 1.02, 95% CI 0.92, 1.13; I2 = 64.6%, n = 4), pancreatic cancer (RR: 0.97, 95% CI 0.84, 1.11; I2 = 71%, n = 3), and colorectal cancer (RR: 1.05, 95% CI 0.98, 1.13; I2 = 65.9%, n = 2). There was no indication of nonlinearity for total cancer (Pnon-linearity = 0.99), however, there was evidence of a nonlinear association between BMI and breast cancer (Pnon-linearity = 0.004) with steeper increases in risk from a BMI around 35 and above respectively. Higher BMI was associated with a higher risk of total, and breast cancer but not with risk of other cancers, in patients with T2D, however, further studies are needed before firm conclusions can be drawn.


PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0166625 ◽  
Author(s):  
Xiaoling Cai ◽  
Wenjia Yang ◽  
Xueying Gao ◽  
Lingli Zhou ◽  
Xueyao Han ◽  
...  

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
John Chambers ◽  
Paul Elliott ◽  
Weihua Zhang ◽  
Jaspal S Kooner

Background. Type-2 diabetes (T2D) is 2– 4 fold more common amongst Indian Asians than North American and European whites, and is a major contributor to two-fold higher cardiovascular disease mortality in Asians. We investigated whether genetic variation in the validated T2D genes, contributes to the increased risk of T2D amongst Indian Asians, compared to European whites. Methods. We examined the association of genetic variants in the 16 validated T2D genes with T2D amongst 9,776 Indian Asian and 4,407 European white men and women, aged 35–75 years, participating in the London Life Sciences Prospective Population (LOLIPOP) study. Genotyping was performed by competitive allele-specific PCR (KASPar). Results. Indian Asians had higher T2D prevalence (20.9% vs 8.7%, P<0.001), despite lower age (50.3±10.9 vs 52.1±11.6, P<0.001) and body mass index (26.9±4.1 vs 27.6±4.7, P<0.001), compared to Europeans. Genotyping confirmed association of WFS1, SLC30A8, PPARG, IGF2BP2, TCF7L2, JAZF1, CDKN2A/B, HHEX/IDE and FTO with T2D in both populations (P<0.05). Associations of CDKAL1 , KCNJ11, THADA, CDC123-CAMK1D, ADAMTS9, TSPAN8-LGR5 or NOTCH2 with T2D did not reach statistical significance. SNP risk allele frequency was higher for six, but lower for nine, in Indian Asians compared to Europeans. In regression analysis, risk of T2D remained 3.6 (95%CI 3.2– 4.1, P<0.001) fold higher amongst Indian Asians compared to Europeans, despite adjustment for age, body mass index and known genetic factors. Discussion. Known genetic variants show similar association with T2D, and have similar risk allele frequencies, amongst Indian Asians and Europeans. These genetic factors do not account for the three-fold increased risk of T2D amongst Indian Asians.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2496-PUB
Author(s):  
ZHANG CHENGHUI ◽  
LI MINGXIA ◽  
WANG SUYUAN ◽  
WU YUNHONG

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