Twenty-four hour (circadian) rhythmicity is an important component of biological variability associated with studies relating to biomarkers of aging. Chronobiological testing techniques must be utilized because (1) ma...Twenty-four hour (circadian) rhythmicity is an important component of biological variability associated with studies relating to biomarkers of aging. Chronobiological testing techniques must be utilized because (1) many variables that are related to the modulation of metabolic output vary dramatically at different times of the day; (2) various experimental variable and treatment groups must be synchronized with environmental cues that control circadian rhythms; and (3) multiple circadian variables may interact together to modulate the rate of aging. The rhythm for physiological factors such as whole animal metabolic output, body temperature, heart rate, urine flow, potassium, etc. were found to be dissociated or altered by the senescence process; behavioral variables such as spontaneous activity, wheel running, feeding and drinking, verbal performance, as well as sleep-wakefulness rhythms, seem to be accurate predictors of biological age. Circadian rhythms for a variety of enzymes of intermediary metabolism which are directly associated with energy metabolism have been well documented. These well-defined rhythms of enzyme activity have also been shown to degenerate with aging. Rhythms tend to lose amplitude as activity falls with age and as a general loss of regulation (especially time of day where maximal activity might be found) of activity across the 24-h span occurs. As with behavioral variables, changes in enzyme rhythms appear to accurately predict aging. Generally speaking, the loss of temporal organization with age, characterized by decreased circadian amplitude, loose internal synchronization, and poor response to external environmental time queues, is associated with poor health states and decreased longevity. Temporal rhythms for whole animal parameters are highly correlated with molecular events, such as regulation of cellular metabolism. DNA repair, and gene expression. Automated data acquisition and process control systems will be required for future Chronobiological studies to develop biomarkers of aging.展开更多
1.Biochemical structure and molecular activity of meldonium Meldonium(commercial name Mildronate)was originally synthesized in the mid-1970s at the Institute of Organic Synthesis of the Latvian Soviet Socialist Republ...1.Biochemical structure and molecular activity of meldonium Meldonium(commercial name Mildronate)was originally synthesized in the mid-1970s at the Institute of Organic Synthesis of the Latvian Soviet Socialist Republic Academy of Sciences.The chemical structure of this compound(3-(2,2,2-展开更多
Stress is a major risk factor for the development of mental illness,such as major depression disorder (MDD)[1].Despite decades of progress,including findings that stressinduced depression corresponds with numerous mor...Stress is a major risk factor for the development of mental illness,such as major depression disorder (MDD)[1].Despite decades of progress,including findings that stressinduced depression corresponds with numerous morphological and functional neuronal changes within brain structures associated with cognition and mood,such as the medial prefrontal cortex (mPFC)[1-3],a thorough understanding of how stress induces the core symptoms of depression,such as hopelessness,is still lacking.In an exciting new paper in mice,Yin et al.show that astrocyteneuronal metabolic coupling in the mPFC is critically involved in the stress-induced passive coping response in mice [4].展开更多
The information provided by completely sequenced genomes of methanogens can yield insights into a deeper molecular understanding of evolutionary mechanisms.This review describes the advantages of using metabolic pathw...The information provided by completely sequenced genomes of methanogens can yield insights into a deeper molecular understanding of evolutionary mechanisms.This review describes the advantages of using metabolic pathways to clarify evolutionary correlation of methanogens with archaea and prokaryotes.Metabolic trees can be used to highlight similarities in metabolic networks related to the biology of methanogens.Metabolic genes are among the most modular in the cell and their genes are expected to travel laterally,even in recent evolution.Phylogenetic analysis of protein superfamilies provides a perspective on the evolutionary history of some key metabolic modules of methanogens.Phage-related genes from distantly related organisms typically invade methanogens by horizontal gene transfer.Metabolic modules in methanogenesis are phylogenetically aligned in closely related methanogens.Reverse order reactions of methanogenesis are achieved in methylotrophic methanogens using metabolic and structural modules of key enzymes.A significant evolutionary process is thought to couple the utilization of heavy metal ions with energetic metabolism in methanogens.Over 30 of methanogens genomes have been sequenced to date,and a variety of databases are being developed that will provide for genome annotation and phylogenomic analysis of methanogens.Into the context of the evolutionary hypothesis,the integration of metabolomic and proteomic data into large-scale mathematical models holds promise for fostering rational strategies for strain improvement.展开更多
文摘Twenty-four hour (circadian) rhythmicity is an important component of biological variability associated with studies relating to biomarkers of aging. Chronobiological testing techniques must be utilized because (1) many variables that are related to the modulation of metabolic output vary dramatically at different times of the day; (2) various experimental variable and treatment groups must be synchronized with environmental cues that control circadian rhythms; and (3) multiple circadian variables may interact together to modulate the rate of aging. The rhythm for physiological factors such as whole animal metabolic output, body temperature, heart rate, urine flow, potassium, etc. were found to be dissociated or altered by the senescence process; behavioral variables such as spontaneous activity, wheel running, feeding and drinking, verbal performance, as well as sleep-wakefulness rhythms, seem to be accurate predictors of biological age. Circadian rhythms for a variety of enzymes of intermediary metabolism which are directly associated with energy metabolism have been well documented. These well-defined rhythms of enzyme activity have also been shown to degenerate with aging. Rhythms tend to lose amplitude as activity falls with age and as a general loss of regulation (especially time of day where maximal activity might be found) of activity across the 24-h span occurs. As with behavioral variables, changes in enzyme rhythms appear to accurately predict aging. Generally speaking, the loss of temporal organization with age, characterized by decreased circadian amplitude, loose internal synchronization, and poor response to external environmental time queues, is associated with poor health states and decreased longevity. Temporal rhythms for whole animal parameters are highly correlated with molecular events, such as regulation of cellular metabolism. DNA repair, and gene expression. Automated data acquisition and process control systems will be required for future Chronobiological studies to develop biomarkers of aging.
文摘1.Biochemical structure and molecular activity of meldonium Meldonium(commercial name Mildronate)was originally synthesized in the mid-1970s at the Institute of Organic Synthesis of the Latvian Soviet Socialist Republic Academy of Sciences.The chemical structure of this compound(3-(2,2,2-
文摘Stress is a major risk factor for the development of mental illness,such as major depression disorder (MDD)[1].Despite decades of progress,including findings that stressinduced depression corresponds with numerous morphological and functional neuronal changes within brain structures associated with cognition and mood,such as the medial prefrontal cortex (mPFC)[1-3],a thorough understanding of how stress induces the core symptoms of depression,such as hopelessness,is still lacking.In an exciting new paper in mice,Yin et al.show that astrocyteneuronal metabolic coupling in the mPFC is critically involved in the stress-induced passive coping response in mice [4].
基金the University Grants Commission,New Delhi,India,for financial assistance(32-559/2006)to carry out work described in this review.
文摘The information provided by completely sequenced genomes of methanogens can yield insights into a deeper molecular understanding of evolutionary mechanisms.This review describes the advantages of using metabolic pathways to clarify evolutionary correlation of methanogens with archaea and prokaryotes.Metabolic trees can be used to highlight similarities in metabolic networks related to the biology of methanogens.Metabolic genes are among the most modular in the cell and their genes are expected to travel laterally,even in recent evolution.Phylogenetic analysis of protein superfamilies provides a perspective on the evolutionary history of some key metabolic modules of methanogens.Phage-related genes from distantly related organisms typically invade methanogens by horizontal gene transfer.Metabolic modules in methanogenesis are phylogenetically aligned in closely related methanogens.Reverse order reactions of methanogenesis are achieved in methylotrophic methanogens using metabolic and structural modules of key enzymes.A significant evolutionary process is thought to couple the utilization of heavy metal ions with energetic metabolism in methanogens.Over 30 of methanogens genomes have been sequenced to date,and a variety of databases are being developed that will provide for genome annotation and phylogenomic analysis of methanogens.Into the context of the evolutionary hypothesis,the integration of metabolomic and proteomic data into large-scale mathematical models holds promise for fostering rational strategies for strain improvement.
