Serotonin transporter is negatively associated with body mass index after glucose loading in humans

Author(s):  
Kyoungjune Pak ◽  
Keunyoung Kim ◽  
Seongho Seo ◽  
Myung Jun Lee ◽  
In Joo Kim
F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 511 ◽  
Author(s):  
Laura McDonald ◽  
Faisal Mehmud ◽  
Sreeram V. Ramagopalan

Recent studies have used mainstream consumer devices (Fitbit) to assess sleep objectively and test the well documented association between sleep and body mass index (BMI). In order to further investigate the applicability of Fitbit data for biomedical research across the globe, we analysed openly available Fitbit data from a largely Chinese population. We found that after adjusting for age, gender, race, and average number of steps taken per day, average hours of sleep per day was negatively associated with BMI (p=0.02), further demonstrating the significant potential for wearables in international scientific research.


NeuroImage ◽  
2010 ◽  
Vol 52 (1) ◽  
pp. 284-289 ◽  
Author(s):  
D. Erritzoe ◽  
V.G. Frokjaer ◽  
M.T. Haahr ◽  
J. Kalbitzer ◽  
C. Svarer ◽  
...  

2014 ◽  
Vol 24 (8) ◽  
pp. 1240-1247 ◽  
Author(s):  
Swen Hesse ◽  
Elsmarieke van de Giessen ◽  
Franziska Zientek ◽  
David Petroff ◽  
Karsten Winter ◽  
...  

Thorax ◽  
2016 ◽  
Vol 71 (Suppl 3) ◽  
pp. A218.1-A218
Author(s):  
A Thavakumar ◽  
AKA Wright ◽  
MA Ghebre ◽  
T Thornton ◽  
CE Brightling

2003 ◽  
Vol 88 (6) ◽  
pp. 2943-2946 ◽  
Author(s):  
Nicholas A. Tritos ◽  
Alexander Kokkinos ◽  
Ekaterini Lampadariou ◽  
Eleni Alexiou ◽  
Nicholas Katsilambros ◽  
...  

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 511
Author(s):  
Laura McDonald ◽  
Faisal Mehmud ◽  
Sreeram V. Ramagopalan

Recent studies have used mainstream consumer devices (Fitbit) to assess sleep objectively and test the well documented association between sleep and body mass index (BMI). In order to further investigate the applicability of Fitbit data for biomedical research across the globe, we analysed openly available Fitbit data from a largely Chinese population. We found that after adjusting for age, gender, race, and average number of steps taken per day, average hours of sleep per day was negatively associated with BMI (p=0.02), further demonstrating the significant potential for wearables in international scientific research.


2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Ishita Saha ◽  
Poonam Singh ◽  
Sunit Kumar Medda ◽  
Rabindra Nath Das

Body mass index (BMI) and breast cancer biomarkers such as resistin, leptin adiponectin, monocyte chemoattractant protein-1 (MCP-1) and homeostasis model assessment of insulin resistance (HOMA-IR) are highly associated with each other. The report has focused the inter-relationship between BMI and breast cancer biomarkers based on probabilistic modeling. It has been shown that mean BMI is positively associated with leptin (P<0.0001) and MCP-1 (P=0.0002), while it is negatively associated with adiponectin (P=0.0003), HOMA-IR (P<0.0001), and it is higher for healthy women (P=0.0116) than breast cancer women. In addition, variance of BMI is negatively associated with resistin (P=0.1450). On the other hand, mean MCP-1 is positively associated with BMI (P<0.0001). Mean resistin is positively associated with the interaction effect of BMI and leptin (BMI*Leptin) (P=0.0415), while its variance is positively associated with BMI (P=0.0942), and it is negatively associated with BMI*Adiponectin (P=0.1518). Leptin is positively associated with BMI (P<0.0001). Also adiponectin is negatively associated with BMI (P<0.0001), BMI*Leptin (P=0.1729), while it is positively associated with Age*BMI (P=0.0017) and BMI*Resistin (P=0.0615). It can be concluded that BMI and breast cancer biomarkers are strongly associated with each other. Care should be taken on BMI for breast cancer women.


2010 ◽  
Vol 7 (1) ◽  
pp. 41-45
Author(s):  
A V Dreval' ◽  
I V Misnikova ◽  
I V Trigolosova

The aim of this study was to investigate the effect of acute hyperinsulinemia to fasting leptin level (fL) secretion and leptin secretion during intravenouse glucose tolerance test (IVGTT). Methods. 32 T2DM women without antidiabetic drugs were studied. Median age of participants was 57,5[50,0;62,5] years, median body mass index (BMI) was 32,7[29,1;37,1]. Glucose intravenouse bolus solution (40%) was dosing (0,75 g/kg BM). Insulin level was investigated in fasting state (FI), 2 min, 70 min and 120 min after glucose loading. Leptin was investigated in fasting (FL) and 120 min after glucose loading. Results. FL level was 21,1[13,6;39,0] ng/ml. Relationships between FL and HOMA-R, аnd between FL and FI were enough strong (r=0,5, р


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