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A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes.
Heald, Adrian; Qin, Rui; Loureiro, Camila M; Williams, Richard; Devaney Dopson, Chloe; Gibson, J Martin; Narayanan, Ram Prakash; Fachim, Helene; McCay, Kevin; Ollier, William.
Afiliação
  • Heald A; Department of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
  • Qin R; The School of Medicine and Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.
  • Loureiro CM; Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Sao Paulo, Brazil.
  • Williams R; Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Devaney Dopson C; NIHR Applied Research Collaboration Greater Manchester, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Gibson JM; Department of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
  • Narayanan RP; Department of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
  • Fachim H; The School of Medicine and Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.
  • McCay K; St Helens and Knowsley Hospitals NHS Trust, St Helens Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.
  • Ollier W; Department of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
Adipocyte ; 12(1): 2236757, 2023 12.
Article em En | MEDLINE | ID: mdl-37582184
ABSTRACT

BACKGROUND:

Weight change is often seen in people with diabetes. We investigated the effects of genes associated with weight change/glucose handling/insulin-signalling. MATERIALS/

METHODS:

DNA from diabetes individuals and non-diabetes individuals, plus clinical data, were available from the DARE study (n = 379 individuals T1D n = 111; T2D n = 222; controls n = 46). Weight gain was assessed by temporal change of Body Mass Index (BMI). Genotyping was performed for CAV1rs926198, LEPRrs1137101, BDNFrs6265 and FTOrs9939609.

RESULTS:

No differences in genotype distributions were observed for the four SNPs in all groups un-stratified by weight gain. Following stratification differences in genotype distribution were observed. For those BMI relatively stable; controls showed a difference in genotype distributions versus T1D (CAV1rs926198, LEPRrs1137101). In T2D vs controls, significant differences were observed in genotype distribution for all four genes. For BMI increase, the only difference by category was LEPRrs1137101 (bothT1D/T2D vs controls). In BMI-stable groups, CAV1rs926198, T1D individuals showed lower T allele frequency (p=0.004) vs non-diabetes and for LEPRrs1137101 a higher G allele frequency versus controls (p=0.002). For T2D, CAV1rs926198, T allele frequency was lower in T2D than controls (p=0.005). For LEPR rs1137101, the G allele frequency was higher than in controls (p=0.004). In those with BMI increase, LEPRrs1137101 T1D individuals had higher G allele frequency versus controls (p=0.002) as did T2D vs controls (p=0.03).

CONCLUSION:

Differences in allele frequency were seen between diabetes individuals and non-diabetes diagnosed at baseline in relation to the likelihood of BMI increase of >10%. It is established that the G allele of LEPRrs1137101 is associated with weight gain/obesity. However, this is the first report of CAV1rs926198 polymorphism being associated with weight stability/gain in diabetes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article