2453-PUB: Changes in Metabolic Syndrome and Diabetes Risk: A Nationwide Longitudinal Cohort Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2453-PUB
Author(s):  
MIN-KYUNG LEE ◽  
HYUK-SANG KWON ◽  
KI-HO SONG ◽  
JAE HYUK LEE
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Diabetes Risk ◽  
Longitudinal Cohort Study ◽  
Longitudinal Cohort

scholarly journals Association between polymorphism at IGF-1 rs35767 gene locus and long-term decline in renal function: a Japanese retrospective longitudinal cohort study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kosuke Honda ◽  
Satoru Kuriyama ◽  
Kimiyoshi Ichida ◽  
Tomoko Nakano ◽  
Naoki Sugano ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Renal Function ◽  
Uric Acid ◽  
Cohort Study ◽  
Serum Uric Acid Level ◽  
Human Growth ◽  
Longitudinal Cohort Study ◽  
Longitudinal Cohort

Abstract Background Insulin-like growth factor-1 (IGF-1) acts on glucose and protein metabolism and human growth and also influences blood pressure and renal function. This study investigated whether the single-nucleotide polymorphism of IGF-1, rs35767, plays a role in metabolic syndrome indicators, including blood pressure, glucose metabolism, uric acid levels, and renal function. Methods In this retrospective longitudinal cohort study, blood samples from 1506 Japanese individuals were collected and used for genotyping for variant rs35767: T > C in the IGF-1 upstream promoter. Data were analyzed to identify associations between IGF-1 genotypes and patient biochemical parameters, including the components of metabolic syndrome and the long-term change in renal function. Results The cohort rs35767 genotypes included 650 CC carriers (43.2%), 687 TC carriers (45.6%), and 169 TT carriers (11.2%). Multiple regression analysis revealed no association between IGF-1 genotype and blood pressure, glycated hemoglobin level, and serum uric acid level. However, in females, blood pressure was negatively correlated with the TT genotype. Longitudinal observation revealed that the decline in eGFR over 10 years was greater in TT (− 18.51 ± 1.04 mL/min/1.73m2) than in CC carriers (− 16.38 ± 0.52 mL/min/1.73m2; P < 0.05). Conclusion The present study suggests that renal function declines faster in individuals with the TT genotype at the IGF-1 rs35767 locus than in those with the CC genotype, suggesting that the TT genotype is associated with the long-term chronological decline in renal function.

GROUP 6 year outcome data in relation to antipsychotic medication

2016 ◽  
Vol 33 (S1) ◽  
pp. S50-S50
Author(s):  
W. Cahn ◽  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Psychotic Disorders ◽  
Medication Use ◽  
Mood Stabilizer ◽  
Outcome Data ◽  
Longitudinal Cohort Study ◽  
Longitudinal Cohort ◽  
The Brain ◽  
Over Time

ObjectiveGenetic risk and outcome of psychoses (GROUP) is a 6 year longitudinal cohort study that focus on gene–environment vulnerability and resilience in patients with psychotic disorders, their unaffected family members and non-related controls. Its main aim is to elucidate etiological and pathogenetic factors that influence the onset and course of psychotic disorders. In this substudy, we will examine medication use over time, its relation with (the change in) metabolic syndrome status and effects on the brain.MethodsA consortium of four university psychiatric centers and their affiliated mental health care institutions, conducted the GROUP study. At baseline, 1120 patients, 1057 siblings, 919 parents and 590 healthy controls were included. After inclusion, participants, except parents, were evaluated again after three and six years of follow-up. Extensive assessment of genetic factors, environmental factors, medication use, metabolic parameters and outcome were performed. Moreover, brain imaging was performed in a subset of participants, using a 1.5 Tesla MRI scanner.ResultsAt baseline 65% of patients used atypical antipsychotics, 16% used conventional antipsychotics and 19% used clozapine. Siblings and controls used no antipsychotics. Forty-three percent of patients, 21.3% of siblings and 9.1% of controls used antidepressants; 43.9% of patients, 2.1% of siblings and none of the controls used a mood stabilizer. We are currently analyzing the medication data over time in relation to (change in) metabolic syndrome status and the effects on the brain.ConclusionGROUP is a longitudinal cohort study in patients with psychotic disorders, their healthy siblings and controls without psychosis. This naturalistic substudy examines medication use, its association with (change of) metabolic status and effects on the brain in subjects with (high risk of) psychosis.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Metabolic Syndrome After Preeclamptic Pregnancy: A Longitudinal Cohort Study

2019 ◽  
Vol 28 (3) ◽  
pp. 357-362 ◽  
Author(s):  
Wieteke M. Heidema ◽  
Ralph R. Scholten ◽  
Joris van Drongelen ◽  
Marc E.A. Spaanderman
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Longitudinal Cohort Study ◽  
Longitudinal Cohort

scholarly journals Association between erythrocyte parameters and metabolic syndrome in urban Han Chinese: a longitudinal cohort study

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Shuo Wu ◽  
Haiyan Lin ◽  
Chengqi Zhang ◽  
Qian Zhang ◽  
Dongzhi Zhang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Han Chinese ◽  
Longitudinal Cohort Study ◽  
Longitudinal Cohort

scholarly journals Association Between Metabolic Syndrome and Radiographic Hand Osteoarthritis: Data From a Community-Based Longitudinal Cohort Study

2018 ◽  
Vol 70 (3) ◽  
pp. 469-474 ◽  
Author(s):  
Mette P. Strand ◽  
Tuhina Neogi ◽  
Jingbo Niu ◽  
David T. Felson ◽  
Ida K. Haugen
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Longitudinal Cohort Study ◽  
Hand Osteoarthritis ◽  
Community Based ◽  
Longitudinal Cohort

Associations Between Serum Multiple Metals Exposures and Metabolic Syndrome: a Longitudinal Cohort Study

2020 ◽  
Author(s):  
Xiuming Feng ◽  
Longman Li ◽  
Lulu Huang ◽  
Haiying Zhang ◽  
Zengnan Mo ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Longitudinal Cohort Study ◽  
Longitudinal Cohort
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