The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01). by Yunmeng Da (707943)

Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

Scatter plots of the relationships between age and the proportions of cells which statistically significantly correlated with age. by Arttu Autio-Kimura (20454681)

Subjects:

BMR decreases with age. by Henrik H. Berntsen (11767710)

Subjects:

Posterior, mid-posterior, central, and mid-anterior corpus callosal volume significantly decreased with increasing risk of environmental lead exposure. by Andrew T. Marshall (10159199)

ERG from DBA/2J mice at 9 months of age. by Eric R. Muir (11819939)

Subjects:

Vertebral cancellous tissueμCT parameters are not significantly affected by aging from 16 to 21 weeks, housing type, or microgravity. by Rukmani Cahill (20939813)

Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)

Subjects:

ERG data (average of left and right eyes) from untreated and 30% O₂-treated DBA/2J mice at 9 months of age (mean ± SEM). by Eric R. Muir (11819939)

Subjects:

Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Subjects:

Forest plot with hazard ratio (HR) of OS in subgroup of age and GS. by Chiwei Chen (13844319)

Subjects:

The patients with PMR had a significant inflammatory gene expression profile, abundant inflammatory genes that may activate JAK signaling. by Xinlei Ma (1423633)

Subjects:

Forest plot odds ratio (OR) of Skeletal related events (SREs) in subgroup of age and GS. by Chiwei Chen (13844319)

Subjects:

Body mass and biometry changes with age. by Henrik H. Berntsen (11767710)

Subjects:

Side effects of vaccination that affected participants’ children. by Sara Saleh (6733619)

Subjects:

Mean values with standard deviations averaged over gestational age. by Irina Sidorenko (99951)

Subjects:

Correlation between age and telomere age (TMA). by Chul-young Bae (14709766)

“…Our findings indicated that telomere age, derived from telomere length, significantly increased with each adverse lifestyle factor. …”

Age-Dependent Serum Volatilomics of Milk and Yogurt Intake: A Randomized Crossover Study in Healthy Young and Older Men by Hélène Yi Meng (14837639)

“…To assess these effects, this study investigated the serum volatilome of 14 young (YA) and 14 older (OA) adult men undergoing a 3 week restriction of dairy and fermented foods followed by a randomized crossover acute intake of milk and yogurt. 3,5-Dimethyl-octan-2-one was identified as a potential marker of dairy product intake as its response after both milk and yogurt intake was significantly increased during the postprandial phase but significantly decreased in fasting serum samples of the OA group after the restriction phase. …”

Age-Dependent Serum Volatilomics of Milk and Yogurt Intake: A Randomized Crossover Study in Healthy Young and Older Men by Hélène Yi Meng (14837639)

“…To assess these effects, this study investigated the serum volatilome of 14 young (YA) and 14 older (OA) adult men undergoing a 3 week restriction of dairy and fermented foods followed by a randomized crossover acute intake of milk and yogurt. 3,5-Dimethyl-octan-2-one was identified as a potential marker of dairy product intake as its response after both milk and yogurt intake was significantly increased during the postprandial phase but significantly decreased in fasting serum samples of the OA group after the restriction phase. …”

1-MX significantly increases levels of neurotransmitters. by Ralf Jäger (35049)