Редактирование: AACS (раздел)

==Publications==

{{medline-entry
|title=Sex differences in subjective age-associated changes in sleep: a prospective elderly cohort study.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/33170149
|abstract=Subjective age-associated changes in sleep ([[AACS]]) and sex differences in [[AACS]] have never been prospectively investigated in elderly populations. We compared the [[AACS]] every 2 years over a total of 6 years between 4,686 community-dwelling healthy men and women aged 60 years or older who participated in the Korean Longitudinal Study on Cognitive Aging and Dementia. Sleep parameters including sleep duration, latency, and efficiency, mid-sleep time, daytime dysfunction, and overall subjective sleep quality were measured using the Pittsburgh Sleep Quality Index at baseline and at each follow-up. The effects of time and sex on subjective sleep parameters were analyzed using linear mixed-effects models. During the 6 years of follow-up, we observed that overall, sleep latency increased, while daytime dysfunction and sleep quality worsened. Significant sex differences in [[AACS]] was found, with women showing shortened sleep duration, delayed mid-sleep time, and decreased sleep efficiency over 6 years. Sleep quality worsened in both groups but a more pronounced change was observed in women. Clinicians should be cautious in determining when to treat declared sleep disturbances in this population.

|keywords=* aging
* longitudinal studies
* normative
* self-report
* sex characteristics
|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695390
}}
{{medline-entry
|title=Extended Multiplexing of Tandem Mass Tags (TMT) Labeling Reveals Age and High Fat Diet Specific Proteome Changes in Mouse Epididymal Adipose Tissue.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/28325852
|abstract=The lack of high-throughput methods to analyze the adipose tissue protein composition limits our understanding of the protein networks responsible for age and diet related metabolic response. We have developed an approach using multiple-dimension liquid chromatography tandem mass spectrometry and extended multiplexing (24 biological samples) with tandem mass tags (TMT) labeling to analyze proteomes of epididymal adipose tissues isolated from mice fed either low or high fat diet for a short or a long-term, and from mice that aged on low [i]versus[/i] high fat diets. The peripheral metabolic health (as measured by body weight, adiposity, plasma fasting glucose, insulin, triglycerides, total cholesterol levels, and glucose and insulin tolerance tests) deteriorated with diet and advancing age, with long-term high fat diet exposure being the worst. In response to short-term high fat diet, 43 proteins representing lipid metabolism ([i]e.g.[/i] [[AACS]], [[ACOX1]], ACLY) and red-ox pathways ([i]e.g.[/i] CPD2, CYP2E, SOD3) were significantly altered (FDR < 10%). Long-term high fat diet significantly altered 55 proteins associated with immune response ([i]e.g.[/i] IGTB2, [[IFIT3]], LGALS1) and rennin angiotensin system ([i]e.g.[/i] [[ENPEP]], [[CMA1]], [[CPA3]], ANPEP). Age-related changes on low fat diet significantly altered only 18 proteins representing mainly urea cycle ([i]e.g.[/i] [[OTC]], [[ARG1]], CPS1), and amino acid biosynthesis ([i]e.g.[/i] GMT, AKR1C6). Surprisingly, high fat diet driven age-related changes culminated with alterations in 155 proteins involving primarily the urea cycle ([i]e.g.[/i] [[ARG1]], CPS1), immune response/complement activation ([i]e.g.[/i] [[C3]], C4b, C8, [[C9]], [[CFB]], [[CFH]], FGA), extracellular remodeling ([i]e.g.[/i] [[EFEMP1]], [[FBN1]], [[FBN2]], [[LTBP4]], [[FERMT2]], [[ECM1]], [[EMILIN2]], ITIH3) and apoptosis ([i]e.g.[/i] [[YAP1]], [[HIP1]], [[NDRG1]], [[PRKCD]], MUL1) pathways. Using our adipose tissue tailored approach we have identified both age-related and high fat diet specific proteomic signatures highlighting a pronounced involvement of arginine metabolism in response to advancing age, and branched chain amino acid metabolism in early response to high fat feeding. Data are available via ProteomeXchange with identifier PXD005953.
|mesh-terms=* Adipose Tissue
* Aging
* Animals
* Diet, High-Fat
* Epididymis
* Gene Regulatory Networks
* Immunoblotting
* Male
* Mass Spectrometry
* Metabolic Networks and Pathways
* Mice, Inbred C57BL
* Proteome
* Proteomics
* Reproducibility of Results
* Sample Size

|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417827
}}