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"Dark-active" rat transformed into "light-active" rat by destruction of 24-hr clock: function of 24-hr clock and synchronizers.

In alternating 12-hr periods of light and dark the rat is active mainly in the dark. Its activity in the dark (beginning at 1800) depends exclusively on release of activity by the 24-hr clock. In the light (beginning at 0600) the 24-hr clock inhibits activity; the normal rat becomes totally inactive in the light except for activity resulting from external stimulation. After section of the connections between the optic chiasma and the hypothalamus, some rats become totally and permanently inactive in the dark. This sectioning destroys the 24-hr clock. After destruction of the clock removes inhibition of activity in the light period, the rat becomes active promptly at start of the light period--i.e., becomes a "light-active" animal. In the normal rat, activity becomes synchronized to start of the dark (by the electric clock at 1800), regardless of the amounts of activity. Destruction of the 24-hr clock eliminates the synchronizer at 1800. However, almost at once, activity, eating, and drinking are kept together by a second synchronizer, start of the light (by the electric clock at 0600). This may explain the ability of the rat to survive after destruction of the 24-hr clock.

Animals

The role of chloroplast-membrane-protein synthesis in the circadian clock. Purification and partial characterization of a polypeptide which is suggested to be involved in the clock.

A polypeptide (polypeptide P39), which is presumed to involved in the photosynthetic circadian rhythm in the green alga Acetabularia, was purified from the EDTA-insoluble chloroplast membrane fraction by means of preparative dodecylsulfate gel electrophoresis and then partially characterized. The purity of the isolated polypeptide P39 was confirmed by a further electrophoresis on an analytical dodecylsulfate gel and further elucidated by amino-terminal analysis which shows that glycine is the only amino-terminal amino acid of the purified polypeptide material. The molecular weight of the polypeptide P39 was found to be about 39,000 on analytical gel electrophoresis and the value was further supported by those obtained from amino acid composition and peptide mapping. The amino acid composition of polypeptide P39 showed that the proportion of intermediate amino acid groups is high while the proportion of hydrophilic amino acid groups is well balanced by that of hydrophobic amino acid groups, a property characteristic of membrane proteins.

Acetabularia

Effects of response-contingent clock stimuli on behavior maintained by intravenous codeine in the rhesus monkey.

Response-contingent brief presentations of clock stimuli differentially correlated with food availability altered rates of codeine-maintained lever pressing. Rhesus monkeys performed under a two lever multiple schedule: Multiple fixed interval clock 5 min variable interval 2 min. Different colored lights were presented during successive 75 sec period of the fixed-interval clock component. Lever pressing under the FI Clock schedule was maintained by presentation of 1 g Noyes pellets, and lever pressing under the VI schedule by 0.05 mg/kg infusions of codeine PO4. Characteristic schedule-controlled performance developed in both schedule components. When the clock stimulus from the first or the final period of the FI Clock schedule was presented contingent upon completion of a short fixed ratio of responses during the variable-interval schedule component, the first clock stimulus decreased and the final clock stimulus increased rates of codeine-maintained lever pressing. Neither the first nor the final clock stimulus altered the frequency of codeine injection. The effect of each clock stimulus was accentuated by increasing the duration of stimulus presentation and by decreasing the response requirement for stimulus illumination. These rate-altering effects of the clock stimuli were most pronounced when different reinforcers were presented in the two components of the multiple schedule when either food or intravenous codeine injection was available under both components of the multiple schedule, response-contingent clock stimulus presentation did not alter response rates under the VI schedule.

Animals

Heavy water as a tool for study of the forces that control length of period of the 24-hour clock of the hamster.

In alternating 12-hr periods of light and darkness, start of the dark period entrains the hamster's 24-hr clock. Blinding or constant darkness frees the clock of entrainment by allowing it to run faster or slower than 24 hr. Constant light frees the clock from entrainment and permits it to run slower than 24 hr--that is, lengthening its period. Heavy water given in drinking water linearly lengthens the period of the 24-hr clock of blinded hamsters or of hamsters kept in constant darkness in direct proportion to concentration of heavy water (1--50%). Heavy water (1-35%) has very different effects on length of the periods of the 24-hr clock when given under conditions of alternating 12-hr periods of light and darkness. Under these conditions, length of the period is controlled by three factors: (i) heavy water which slows the 24-hr clock; (ii) constant light which also slows the 24-hr clock; (iii) the counteracting effects of entrainment. It is thus possible to observe the effects of all three forces simultaneously in the same animal. The clock slowed by heavy water (1--20%) showed a strong tendency to return to a 24-hr entrainment whenever possible. On a 50% concentration of heavy water, the length of period of the clock became markedly lengthened but very constant and apparently independent of all external and internal disturbances.

Animals

Understanding and making sense of epigenetic age misalignment across different aging clocks.

The output of an epigenetic aging clock can vary depending on the training method utilized, cell type composition, the nature of the training dataset, the technology used to generate the methylomic data, acute stressors, and other factors. On an individual level, epigenetic age can fluctuate across different clocks purely due to differences in model training. Among aging clock researchers, it is well-known that the epigenetic age of a single sample can vary across different models. Based on our observations and conversations with longevity scientists and stakeholders, however, this fact is often unappreciated among non-aging clock experts. To help bring more awareness to this important topic, we highlight key literature and, as an illustrative example, use eight blood-trained clocks to show that epigenetic age is frequently misaligned in a publicly available whole blood dataset. Our simple analysis revealed that the average sample difference between the youngest and oldest predicted ages across these clocks was 17 years. The smallest and largest individual-level differences observed were 4 and 45 years, respectively. Clock misalignment has implications for choosing which clock to utilize, interpreting the impact of an intervention on epigenetic age, personalized tracking, and relating epigenetic age to the abstract concept of biological age.

Humans

Accelerated Biological Aging Increases the Risk of Head and Neck Cancer: Insights From Genetic Instruments of Epigenetic Clocks.

Epigenetic clocks are robust biomarkers of biological aging and have been associated with cancer susceptibility. However, the relationship between genetically predicted epigenetic age acceleration and head and neck cancer risk remains unclear. Using a large case-control study of 2189 head and neck squamous cell carcinoma (HNSCC) cases and 2189 age- and sex-matched controls, we investigated the associations between polygenic scores (PGSs) for multiple epigenetic clocks and HNSCC risk, and evaluated their potential causal roles using two-sample Mendelian randomization (MR). Genome-wide association study (GWAS)-identified single nucleotide polymorphisms (SNPs) associated with four epigenetic clocks (HannumAge, HorvathAge, GrimAge, and PhenoAge) were used to construct clock-specific PGSs. Logistic regression models were applied to assess associations between PGSs and HNSCC risk, while MR analyses, including inverse-variance weighted (IVW), weighted median, and MR-Egger methods, were used to infer potential causal relationships. Among the 48 epigenetic clock-associated SNPs, 12 showed nominal associations with HNSCC risk, and one variant (rs2275558 in PBX1) remained significant after Bonferroni correction (OR = 0.67, 95% CI: 0.60-0.76). PGSs for all four epigenetic clocks were higher in cases than in controls. In logistic regression analyses, each standard deviation increase in HannumAge PGS was associated with a 25% higher risk of HNSCC (OR = 1.25, 95% CI: 1.10-1.41), whereas HorvathAge, GrimAge, and PhenoAge PGSs showed weaker positive associations (ORs ranging from 1.06 to 1.10). Individuals in the highest PGS quartile for all four epigenetic clocks exhibiting 14%-25% higher risk than those in the lower three quartiles. MR analyses supported potential causal effects of genetically predicted HannumAge (IVW OR = 1.24 per SD increase, 95% CI: 1.09-1.42) and GrimAge (IVW OR = 1.23 per SD increase, 95% CI: 0.98-1.56) on HNSCC risk, with consistent estimates in weighted median analyses. Our results highlight biological aging as a potential etiologic mechanism for HNSCC and suggest that epigenetic clock-related genetic profiles may improve HNSCC risk stratification.

Humans

Epigenetic Clocks of Biological Aging and Cognitively Healthy Longevity: The Women's Health Initiative Memory Study.

BACKGROUND: Little is known about whether epigenetic age acceleration (EAA) clocks are capable of predicting exceptional longevity with or without preserved cognitive function. METHODS: We examined 5844 women from the Women's Health Initiative Memory Study. Fifteen epigenetic clocks were measured at baseline (1996-1999). Longevity outcomes were defined as: 1) survival to age 90 with preserved cognition (n = 1726, 29.5%); or 2) survival to age 90 with cognitive impairment (n = 956, 16.4%); vs. 3) death before age 90 (n = 2611, 44.7%). Logistic regression models examined associations between the 15 clocks and survival to age 90 (vs. death before age 90), adjusting for covariates. Multinomial logistic regression models examined associations with survival to age 90 without cognitive impairment and survival to age 90 with cognitive impairment (each vs. death before age 90), also adjusting for covariates. RESULTS: Each standard deviation increase in EAA for the first-generation clocks was associated with 7%-18% reduced odds of survival to age 90 vs. earlier death. Stronger associations were observed for second- and third-generation clocks, including AgeAccelGrim2 (OR = 0.66; 95% CI 0.61-0.71), PCGrimAge (OR = 0.64; 95% CI 0.59-0.69), PCPhenoAge (OR = 0.73; 95% CI 0.68-0.78) and DunedinPACE (OR = 0.77; 95% CI 0.72-0.82). None of the clocks was more strongly associated with survival to age 90 with preserved cognition than with survival to age 90 with cognitive impairment, relative to death before age 90. CONCLUSION: All epigenetic clocks were associated with exceptional longevity, but none were associated with cognitive healthspan. Developing clocks that can differentiate long survival with and without preserved cognitive function is critical.

Healthspan

Evidence for existence of a yearly clock in surgically and self-blinded chipmunks.

By use of simplified technique and constant environmental conditions, I have demonstrated the existence in the chipmunk of a yearly clock. In a blinded chipmunk the clock manifested itself by remarkably consistent changes in running activity, food and water intake, and body weight over 6 1/2 yr. Studies on freshly trapped chipmunks kept in the same laboratory environment but with alternating light and darkness (12 hr each), showed that, when their eyes were covered for much of the light period, they reduced their exposure to light to preserve the activity of the yearly clock. Laboratory-adapted chipmunks that do not shield their eyes from light do not show the clock. The yearly clock has all the characteristics of the 24-hr clock, including sharply defined active and inactive phases, and must likewise play an important part in the animal's survival. Light would appear to be the chief or only cue for the clock. The period lengths did not change with age during the 6 1/2 yr.

Animals

Sex-specific biological aging clocks across organs and omics.

Sex differentially shapes aging, neurodevelopment and neurodegenerative diseases such as Alzheimer's disease (AD). However, most biological aging clocks (artificial intelligence-predicted age minus chronological age) were trained on sex-pooled samples and implicitly assume sex invariance.Here we developed 38 sex-specific biological aging clocks across 15 organ systems. We first demonstrate the importance of sex-stratified training for constructing sex-specific healthy normative references and then reveal marked divergence between female and male clocks. Key genetic parameters and Mendelian randomization results indicate that organ-specific aging liability and its relationships to cardiometabolic, endocrine and mental traits are configured differently in females and males. Proteomic analyses identify distinct, organ-resolved synaptic, immune, vascular and metabolic networks that differentially track female and male biological aging. In longitudinal survival analyses, sex-specific clocks predict whole-body systemic diseases and all-cause mortality in a sex-dependent and organ-dependent manner. Further analyses reveal sex-dependent associations between the brain aging clock and cognitive decline trajectory during a preclinical AD clinical trial. Sex-stratified clocks may offer distinct value by defining biological age against sex-appropriate normative references and revealing sex-dependent genetic, molecular and clinical signatures that pooled models may obscure. Meanwhile, sex-pooled and sex-interaction approaches remain valuable, as human aging and disease also share fundamental biological similarities between females and males. Together, these findings reveal sex-specific biological aging signatures in aging, AD and systemic health, highlighting the need for explicitly sex-stratified modeling approaches.

Journal Article

Gene editing of clock components in Solanum lycopersicum: Effects on gene expression, development, and productivity.

The circadian clock plays a crucial role in regulating key biological processes, including growth and development. While studies in the model plant Arabidopsis thaliana have significantly advanced our understanding of circadian function, recent research has also focused on crop species for improved yield and quality. In this study, we examined the rhythmic behavior and regulatory function of circadian clock components in tomato (Solanum lycopersicum). Time course analyses of gene expression over the circadian cycle revealed robust rhythmic oscillations in tomato leaves under free-running conditions. Comparative analyses showed similar peak phases for several clock genes in Arabidopsis and tomato, suggesting functional conservation. Rhythms in tomato fruits, however, showed reduced amplitude, slight phase changes, or arrhythmia, indicating organ-specific circadian variations. By using CRISPR-Cas9 gene editing strategies (clockcrispr), we also showed that proper clock gene expression is essential for setting the phase in tomato plants. Leaf movement analyses also showed a phase change in the clockcrispr lines, correlating with shorter or longer periods. The clockcrispr lines also displayed distinct growth and developmental phenotypes that differ from those reported in the Arabidopsis clock mutant counterparts. Our transcriptomic analyses identified species-specific regulation of key target genes. The results offer mechanistic insights into the conserved and divergent molecular pathways governing circadian phenotypic variations between Arabidopsis and tomato plants.

Solanum lycopersicum

CLOCK gene 3'UTR and exon 9 polymorphisms show a strong association with essential hypertension in a North Indian population.

BACKGROUND: Hypertension (HTN) is a medical condition characterized by persistent systolic and diastolic blood pressures of &#x2265;&#x2009;140 mmHg and &#x2265;&#x2009;90 mmHg, respectively. With more than 1200&#xa0;million adult patients aged 30-79 years worldwide according to the latest WHO data, HTN is a major health risk factor; more importantly, 46% of patients are unaware of this condition. Essential hypertension (EH), also known as primary hypertension, is the predominant subtype and has a complex etiology that involves both genetic and non-genetic factors. Majority of living organisms are influenced by the light and dark cycle of a day and respond to these changes through an intricate clock referred to as the "biological clock" or "circadian rhythm". The connection between circadian rhythm and blood pressure is well established, with many studies supporting the role of circadian rhythm gene mutation(s)/polymorphism(s) in EH. To date, no such data are available from any Indian population. METHODS: This case&#x2012;control study was conducted on 405 EH patients and 505 healthy controls belonging to the Jammu region of North India after an informed consent was obtained from the participants. A total of three single nucleotide variants, two in the CLOCK gene (rs1801260 and rs34789226) and one in the BMAL1/ARNTL gene (rs6486121), were selected for genotyping. Genotyping was performed via the RFLP technique, and the applicable statistical analyses were performed via the SPSS and SNPStats programs. RESULTS: Logistic regression analysis revealed a statistically significant association of both CLOCK gene variants rs1801260 (T&#x2009;>&#x2009;C 3'UTR) and rs34789226 (C&#x2009;>&#x2009;T Exon 9) and a nonsignificant association of the BMAL1/ARNTL intronic variant rs6486121 (C&#x2009;>&#x2009;T) with EH. The 3'UTR variant showed a statistically significant association under the codominant (p&#x2009;<&#x2009;0.0001), dominant (p&#x2009;<&#x2009;0.0001), and recessive (p&#x2009;=&#x2009;0.0004) models. In contrast, the exon 9 variant showed a statistically significant negative association under the codominant (p&#x2009;=&#x2009;0.003) and dominant (p&#x2009;=&#x2009;0.015) models only. The rs6486121/rs1801260 and rs1801260/rs34789226/rs6486121 haplotypes showed significant differences in their distribution between cases and controls (p&#x2009;<&#x2009;0.0001). Certain genotypes and haplotypes were found more common in hypertensive males than females. CONCLUSION: This is a first report linking circadian rhythm gene polymorphisms with EH in any Indian population. The statistically significant association of the CLOCK gene 3'UTR and exon 9 polymorphisms with EH, highlight the potential role of this gene and probably other genes of the circadian pathway in the etiology of EH in the study population. Additionally, our study also revealed that certain genotypes are making males more susceptible to EH.

Humans

Rapid eye movement sleep cycle, clock time and sleep onset.

The phase of the REM sleep rhythm was studied in 10 normal subjects each of whom was sleep studied for 4 consecutive nights. For analysis, each night of sleep was aligned according to clock time and each minute was scored as REM or non-REM. With these data, REM probability was found as a function of clock time. Fractional harmonic analysis indicates a 90 min periodicity. The REM probability curve shows peaks occurring at 1:30 a.m., 3:15 a.m., 4:30 a.m., 5:45 a.m. and 7:00 a.m. Statistical measures comparing the time of REM sleep across subjects suggests that subjects tend to have REM sleep at the same time of the night as each other. The influence of elapsed time after sleep onset on REM sleep is also reestablished. Results indicate that the time of REM sleep is determined by both clock time and time of sleep onset, suggesting two clocks, one sleep dependent and the other related to the basic rest activity cycle (BRAC), which are responsible for driving REM sleep. Furthermore, the similarity of REM times across subjects indicates the possible existence of an extra-personae REM driving force linked to clock time and possibly the BRAC.

Adult

Mapping the regulatory architecture of circadian clock adaptation: A genome-wide eQTL analysis in Drosophila melanogaster.

The circadian clock enables organisms to align internal daily rhythms with environmental cues, with major consequences for survival and fitness. Although the molecular framework of this system in Drosophila melanogaster is well characterized through transcription translation feedback loops involving ten core clock genes, the genetic basis of natural variation in their expression remains poorly understood. Here, we used natural expression variation to identify expression quantitative trait loci (eQTLs) through genome-wide association mapping. Using the Drosophila Genetic Reference Panel, we measured relative expression of all core clock genes at a single time point two hours after light onset. We identified 109 significant SNPs and 28 indels associated with expression variation across the clock network. Expression levels varied widely, with Pdp1&#x3b5; showing the greatest variation (an 86-fold difference between extreme lines) and cyc the least (11.3-fold). Only three significant SNPs were located within clock genes themselves, all in Clk, whereas most associations represented trans-eQTLs in genes with diverse molecular functions. Candidate regulators included transcription factors such as Abd-B, tai, and E5; RNA binding proteins including Pum, Bru-3, and Mbl; and several long noncoding and antisense RNAs. Variants were also detected in gbb and the BMP pathway transcription factor Mad. Consistent with this, Mad knockdown reduced vri expression. Together, these results reveal a complex regulatory architecture underlying natural variation in circadian gene expression.

Journal Article

Assessing the influence of different alignment tools on the accuracy of a forensic epigenetic clock.

MOTIVATION: DNA methylation (DNAm) has long been a commonly investigated biomarker in biomedical research. The current gold standard for DNAm detection is bisulfite sequencing which requires dedicated alignment tools that can handle reduced sequence complexity. One commonly used application of DNAm are epigenetic clock measurements. These clocks have been adapted by many fields for their specific needs, including forensic genetics. Here, epigenetic clocks were designed to help estimate the chronological age of a biological stain donor for investigative purposes. RESULTS: In this study, data generated with a well-established forensic epigenetic clock is aligned with four different bisulfite-specific alignment tools: "Bwa-meth," "Abismal," "Bismark," and "BS-Seeker2." For each tool, we tested up to six different settings, altering parameters such as the maximum number of mismatches or the score function setting. The goal was to investigate whether the final predicted ages differed considerably between the tested alignment tools and settings. Quality controls such as read depth, precision, recall, F1 score, and alignment run time were also assessed. To allow other researchers to easily perform such methylation comparison analyses on their own data, a Shiny app called "MethylAge Explorer" was developed within this study. None of the tested settings for the three alignment tools "Abismal," "Bismark," and "BS-Seeker2" outperformed the originally used alignment tool "Bwa-meth" in terms of age prediction accuracy. However, differences in final age predictions were observed between the different alignment tools. Therefore, it is necessary to be aware of which alignment tool to use for particular epigenetic clocks. AVAILABILITY AND IMPLEMENTATION: The data underlying this article and the code for the shiny app are available on GitHub (https://github.com/charlsut/methylage_explorer).

DNA Methylation

Multiomic clocks to predict phenotypic age in mice.

Biological age refers to a person's overall health in aging, as distinct from their chronological age. Diverse measures of biological age, referred to as "clocks," have been developed in recent years and enable risk assessments and an estimation of the efficacy of longevity interventions in animals and humans. Although most clocks are trained to predict chronological age, clocks have been developed to predict more complex composite biological age outcomes, at least in humans. These composite outcomes can be made up of a combination of phenotypic data, chronological age, and disease or mortality risk. Here, we develop the first such composite biological age measure for mice: the mouse phenotypic age model (Mouse PhenoAge). This outcome is based on frailty measures, complete blood counts, and mortality risk in a longitudinally assessed cohort of male and female C57BL/6 mice. We then develop clocks to predict Mouse PhenoAge, based on multiomic models using metabolomic and DNA methylation data. Our models accurately predict Mouse PhenoAge, and residuals of the models are associated with remaining lifespan, even for mice of the same chronological age. These methods offer novel ways to accurately predict mortality in laboratory mice, thus reducing the need for lengthy and costly survival studies.

Animals

Differential methylation clock ages across buffy coat (BC), peripheral blood mononuclear cells (PBMC), and saliva in individuals approaching midlife.

Understanding epigenetic aging prior to midlife is gaining interest as a potentially intervenable period to address factors that influence health and cognitive aging. Epigenetic changes associated with aging may point to differential biological aging rates; however, methylation profiles may not be substitutable across tissues. We compared DNA methylation in three tissues collected in 91 siblings and twins from the Colorado Adoption/Twin Study of Lifespan behavioral development and cognitive aging (CATSLife1): saliva, buffy coat (BC), and peripheral blood mononuclear cells (PBMC). Overall, across five methylation clocks and two blood-derived and one saliva-derived tissues, moderate to strong associations between chronological age and methylation ages were observed. Moreover, PBMC methylation age values correlate more strongly with BC values (Spearman r = 0.66 - 0.87), whereas saliva showed weaker correlations with either form of blood-derived measures (Spearman r = 0.25 - 0.69) although still moderate to strong magnitudes. Saliva demonstrated significantly older methylation ages across four of five clocks, whereas PBMC and BC did not differ. Twins were more strongly correlated for BC and PBMC derived clocks with weaker and inconsistent patterns among Saliva clocks. DunedinPACE age acceleration showed no significant tissue differences and on average demonstrated the largest divergence of similarity between monozygotic (MZ) versus dizygotic (DZ) twins (rMZ= .56, rDZ= .21). In summary, saliva-derived methylation is not a direct substitute for blood-derived methylation whereas blood-derived methylation values were comparable across buffy coat and peripheral blood mononuclear cell tissues.

age acceleration

Mathematical modeling of dietary timing- and protein quality-responsive liver circadian clock and its function on ribosome biogenesis.

Independent of the suprachiasmatic nucleus, peripheral clocks can be strongly entrained by dietary signals. Although feeding time has been widely studied, the effects of food quality-particularly nutrient availability and stress-on peripheral circadian entrainment and metabolic regulation remain less understood. We developed a semimechanistic mathematical model of peripheral clock synchronization and clock-controlled ribosome biogenesis (RiBi) in response to feeding/fasting cycles and rhythms in dietary essential amino acid (EAA) availability. The model integrates EAA-sensitive signaling through mammalian target of rapamycin complex 1 (mTORC1) and the general control nonderepressible 2 (GCN2)-mediated integrated stress response (ISR), together with ribosomal protein expression as a metabolic endpoint. We used the model to examine circadian entrainment under nutrient stress, adaptation during transitions between feeding schedules with EAA insufficiency, and stress-related mechanisms that may restore circadian and metabolic function. Simulations showed that mTORC1 and GCN2-ISR signaling jointly regulate metabolic entrainability and stress adaptation and are required to maintain circadian synchronization and RiBi dynamics during nutrient stress. The model also predicted that differences in homeostatic adaptation can produce individualized recovery trajectories after transient dietary disruption. Finally, appropriate modulation of GCN2-ISR signaling mitigated disruption-associated RiBi hyperactivation by leveraging dietary EAA rhythms to restore clock function. These findings identify dietary EAA stress and its regulatory pathways as important determinants of peripheral circadian entrainment and metabolic adaptation, supporting the development of personalized nutrition-based strategies for circadian disruption-related chronic disease.NEW & NOTEWORTHY This study provides a mechanistic modeling framework linking dietary protein quality, EAA-sensitive mTORC1/GCN2-ISR signaling, peripheral circadian entrainment, and ribosome biogenesis, highlighting how nutrient stress may shape individualized circadian recovery and metabolic regulation.

Circadian Clocks