10.1371/journal.pone.0164877.g002
Kota Fukai
Kota
Fukai
Sei Harada
Sei
Harada
Miho Iida
Miho
Iida
Ayako Kurihara
Ayako
Kurihara
Ayano Takeuchi
Ayano
Takeuchi
Kazuyo Kuwabara
Kazuyo
Kuwabara
Daisuke Sugiyama
Daisuke
Sugiyama
Tomonori Okamura
Tomonori
Okamura
Miki Akiyama
Miki
Akiyama
Yuji Nishiwaki
Yuji
Nishiwaki
Yuko Oguma
Yuko
Oguma
Asako Suzuki
Asako
Suzuki
Chizuru Suzuki
Chizuru
Suzuki
Akiyoshi Hirayama
Akiyoshi
Hirayama
Masahiro Sugimoto
Masahiro
Sugimoto
Tomoyoshi Soga
Tomoyoshi
Soga
Masaru Tomita
Masaru
Tomita
Toru Takebayashi
Toru
Takebayashi
Associations between TPA and metabolite measurements.
Public Library of Science
2016
regression analysis models
capillary electrophoresis mass spectrometry method
body mass index
4- methyl -2-oxoisopentanoate 2- oxoisopentanoate
non-communicable diseases
Community-Dwelling Men Objective Physical activity
FDR
type 2 diabetes
Conclusions Physical activity
Plasma metabolite concentrations
fasting blood samples
Total Physical Activity
future insulin resistance
plasma metabolites
2016-10-14 17:32:43
Figure
https://plos.figshare.com/articles/figure/Associations_between_TPA_and_metabolite_measurements_/4034226
<p>Associations between metabolites and TPA level (Q1, Q2, Q3, Q4) in the original (left) and replication (right) populations. Linear regression between each metabolite and TPA was performed. Raw p-values for unadjusted and adjusted models are shown. Fold change (with 95% CI) per one-unit increase in TPA level were calculated using the beta of the linear regression analysis of the unadjusted model. The blue bars mean lower concentrations and the red bars mean higher concentrations in highly active groups. Metabolites associated with TPA levels are shown in this figure (FDR p <0.05 for unadjusted model in the original population). Replication analysis was performed only for these metabolites. AAs, amino acids; CI, confidence interval. <sup>#</sup>Adjusted for age, BMI, smoking (never/former/current), current alcohol drinker (yes/no), and energy intake (high/low).</p>