Journal of Biological Rhythms

BackgroundMood symptoms vary seasonally, yet the underlying mechanisms remain unclear. We tested whether wearable-derived sleep, activity, circadian, and light exposure patterns mediate seasonal effects on mood in youth with emerging mood disorders. MethodsWe analysed 733 observation periods from 422 Australian youth (mean age 24.3{+/-}5.5 years; 63% female) attending early-intervention mental health services. Each observation comprised a clinical assessment paired with [&ge;]5 valid days of GENEActiv wrist actigraphy. Season was modelled using sine-cosine functions of day-of-year. Sleep, activity, and circadian features were reduced using Joint and Individual Variation Explained, and light exposure features were reduced via principal components analysis. Linear mixed-effects models tested seasonal effects on depressive, psychiatric, manic, and functional outcomes. Mediation was examined using Sobel screening followed by cluster bootstrapping (1,000 iterations). ResultsDepressive ({beta}=-0.67, p=0.023) and negative symptoms ({beta}=-0.17, p=0.041) peaked in winter, whereas manic symptoms peaked in autumn ({beta}=0.24, p=0.018). Reduced day-to-day variability in moderate-to-bright ambient light exposure (fewer transitions to brighter environments) mediated winter increases in depressive (indirect {beta}=-0.06, p=0.006) and negative symptoms (indirect {beta}=-0.05, p<0.001). Higher activity levels partially mediated seasons effect on depressive symptoms (indirect {beta}=-0.010, p=0.032). Extended sleep with nocturnal activity mediated seasons effect on negative symptoms (indirect {beta}=-0.02, p=0.001). No mediators emerged for manic symptoms. ConclusionsLight exposure variability--reflecting constrained engagement with brighter environments during winter--emerged as the dominant mediator of seasonal mood worsening in Australian youth, with smaller contributions from sleep-activity-circadian patterns. These findings identify daily light variability as a promising, modifiable target for intervention.

2)BackgroundCircadian rhythm desynchrony (CD) occurs when there is a mismatch between the circadian clock and local time, such as shift work. Mouse models are commonly employed to study CD, but may have significant shortcomings such as environmental masking, a focus only on sleep physiology, and significant variability between study designs. ObjectiveThis study used in vivo telemetry for simultaneous, real-time monitoring of locomotor activity (LA), core body temperature (CBT), and brain activity (EEG) in freely moving C57BL/6J mice to assess CD effects. MethodsFour-month-old C57BL/6J mice (n=11) were surgically implanted with telemeters enabling simultaneous real-time recording of LA, CBT, EEG.: Mice were sequentially exposed to a control condition standard 12:12h light-dark cycle (T24) then 4, 8-day CD paradigms: 10:10 h short day (T20), social jet lag (SJL), repeated 6h phase advances (6A2), and a 3:3 h ultradian cycle (T6)For each paradigm, the final 48h of data (250 Hz) were analyzed. ResultsWe found clear differences in the severity of the effects of each CD paradigm on sleep and circadian fitness, where T20[~]T6>SJL>6A2. CBT revealed broader disruption, but EEG outputs proved the most sensitive indicators of internal desynchrony. ConclusionsEach CD paradigm produced a unique profile across behavioral, physiological, and neural domains. We have also identified Gamma CV as a novel, sensitive metric of CD. These results highlight the necessity of multimodal monitoring to accurately characterize the impact of ecologically relevant stressors on circadian and sleep physiology. Statement of SignificanceCircadian rhythm desynchrony (CD), driven by shift work, jet lag, and modern irregular light exposure, is a major health burden linked to metabolic, neurodegenerative, and neuropsychiatric diseases. However, standard methods for measuring CD in laboratory models often rely on simple locomotor activity, which can "mask" the true extent of internal circadian stress. In this study, we simultaneously monitored brain EEG activity, core body temperature, and motion across four distinct models of circadian stress. We discovered that locomotor activity is a deceptive indicator of health; while mice appeared to show no alterations under several stress paradigms, their brain waves and body temperatures revealed the underlying impact of CD. Specifically, we identified "Gamma CV" as a highly sensitive new brain-wave marker that detects early circuit instability even when behavior appears normal and sleep quantity is preserved. These findings provide a marker for identifying early neurological vulnerability to irregular light schedules, offering a potential bridge to understanding similar gamma brain-wave alterations seen in addiction, early-stage Alzheimers disease, and other disorders.

Circadian clocks coordinate physiological and behavioral rhythms by synchronizing biological processes with environmental cues. These rhythms emerge during development, but it remains unclear whether their component genes are activated by a common program or assembled through distinct regulatory pathways. To address this, we used longitudinal luciferase reporters to monitor per3 and per2 expression across zebrafish embryonic and larval development. Although both genes are canonical components of the circadian clock, they showed strikingly different developmental regulation. Two temporal frames of circadian gene expression were identified: an embryonic stage and a larval stage, each evident under different entrainment conditions. Per3 displayed early rhythmic expression in light/dark conditions, which was independent of per2 and cry1a light-entrainment regulation, but required bmal activity. Meanwhile, per2 displayed light-responsive transcription and remained largely bmal-independent. At the same time, both genes exhibited an endogenous embryonic expression that could not be explained solely by light-driven regulation, indicating that developmental inputs contribute to clock gene activation before mature larval rhythms are established. These findings demonstrate that the zebrafish circadian system is not assembled through a single synchronized onset of clock gene expression, but through gene-specific regulatory programs that shift across development.

Objectives: Self-applied, low-density EEG offers opportunities to examine sleep in the home environment, yet its feasibility during behavioural sleep interventions remains unexplored. This pilot study aimed to evaluate the feasibility and acceptability of a self-applied, low-density EEG device during sleep restriction therapy (SRT) and explore effects on sleep and affect. Methods: Seventeen adults with insomnia and depressive symptoms completed a 2-week baseline and 4 weeks of SRT. The primary outcome was the proportion of expected EEG recordings completed and scoreable. Secondary outcomes included clinical measures, sleep continuity (sleep diary, actigraphy), sleep architecture (low-density EEG for 9 nights), power spectral density, and affect. Data were analysed with linear mixed models. Cohen's d and 95% confidence intervals were reported. Results: Feasibility was demonstrated (92% of expected EEG nights completed). SRT was associated with reductions in insomnia severity, depressive symptoms, negative affect, and increases in positive affect. Robust improvements were observed across treatment in sleep continuity (SOL, WASO, SE) from diary, which were paralleled by actigraphy. EEG revealed reduced TIB, TST, N1, N2, REM sleep, and REM latency during week one. Reductions in EEG-derived TIB and N1 sleep were maintained at night 28. There were no reliable differences for spectral or spindle measures. Conclusions: These findings suggest that self-applied, low-density EEG during SRT is feasible, acceptable, and may capture sleep changes during treatment. They highlight the potential for multi-night monitoring of sleep interventions at home and elucidating mechanisms underlying therapeutic change.

Mice housed at room temperature (RT, 25{degrees}C) experience chronic mild cold stress compared with those housed at thermoneutrality (TN, 30{degrees}C). We hypothesized that cold stress suppresses circadian transcript expression in peripheral tissues. RNA-seq of hearts, livers, and diaphragms collected every 4 hours over 48 hours in constant darkness identified mRNA transcripts exhibiting {approx}24-hour rhythms (REGs). TN produced tissue-specific changes in REG number, identity, and phase without altering core circadian clock transcript levels. Cardiac REGs increased 4-fold, diaphragm REGs 1.5-fold, and hepatic REG identity shifted substantially. GO analysis revealed coordinated reorganization of rhythmic metabolic programs in the heart and liver. These data demonstrate that ambient housing temperature has tissue-specific effects on the number, identity, and temporal organization of rhythmically expressed transcripts in the heart, liver, and diaphragm.

Background: Circadian rest-activity rhythms weaken with age, but whether sleep disorders modify this trajectory is unknown. Methods: We analyzed wrist accelerometry data from 4,386 participants aged 6-80 years in the 2011-2012 National Health and Nutrition Examination Survey (NHANES). Circadian features were extracted using cosinor analysis and nonparametric methods; a Circadian Disruption Index (CDI) was constructed from five standardized components. Survey-weighted regression with natural cubic splines and Wald F-tests tested age-by-sleep-disorder interactions using Taylor series linearization for variance estimation. Results: Doctor-diagnosed sleep disorder (N = 360, 8.2%) was associated with significantly different age-related trajectories of amplitude (F(2,17) = 11.24, p = 0.0008) and MESOR (F(2,17) = 8.22, p = 0.0032), both surviving Bonferroni correction (p < 0.006). CDI was higher in those with a sleep disorder (0.290 vs. 0.131, p < 0.001) and was independently associated with higher BMI (beta = 1.33 kg/m2, p < 0.001), higher HbA1c (beta = 0.089%, p = 0.004), greater diabetes prevalence (beta = 3.8 percentage points, p < 0.001), and worse depressive symptoms (beta = 0.43 PHQ-9 points, p = 0.020). Sensitivity analyses using a broader sleep problem exposure did not replicate these interactions. Conclusions: Doctor-diagnosed sleep disorders are associated with an altered age-related decline in circadian amplitude and mean activity level. CDI was independently linked to cardiometabolic and depressive outcomes, supporting a mechanistic connection between clinically significant sleep pathology and circadian disruption across the lifespan.

Background: Sleep debt and irregular sleep patterns are highly prevalent amongst adolescents. However, whether the absence of these sleep behaviours protects against subsequent depression remains unclear. Here, we examined the association of sleep debt, weekend catch-up sleep (WCS), and social jetlag (SJL) in adolescence with depression in young adulthood and identified underlying biopsychosocial mechanisms. Methods: Secondary data analyses were conducted using the Avon Longitudinal Study of Parents and Children. Bedtimes and wake-up times on school days and weekends (i.e., sleep duration) and sleep need were self-reported at 15 years. This was used to generate sleep debt (sleep need minus school day sleep duration), WCS (weekend sleep duration minus school day sleep duration), and SJL (absolute difference in the midpoint of sleep times between school days and weekends). Depression was assessed at 24 years with the Clinical Interview Schedule-Revised. Common mental health symptoms, biological, and school-related factors at 17 years were the mediators. Results: Logistic regression analyses revealed that greater WCS (adjusted odds ratio [AOR]=0.90; 95% CI=0.84-0.97; p=0.004) and lower sleep debt (AOR=1.10; 95% confidence interval [CI]=1.03-1.18; p=0.005) at age 15 reduced the likelihood of depression at 24 years. Irritability at 17 years partially mediated the relationship between sleep debt and depression (bias-corrected estimate=0.003; 95% CI=0.002-0.004; p<0.001). Conclusions: Adolescents who experience less sleep debt (i.e., less discrepancies between their actual sleep and their perceived sleep need) and those who extend their sleep duration on weekends are at reduced risk for depression in young adulthood. These findings underscore the need for greater opportunities for adolescents to obtain more hours of sleep to protect them against later poor mental health outcomes, such as depression. Keywords: Sleep; longitudinal studies; depression; ALSPAC

Young people with major depressive disorder (MDD) exhibit altered thermoregulation, which has also been linked to vigilance and sustained attention. However, whether peripheral skin temperature is associated with cognitive vulnerability around sleep onset is unknown. We examined the relationship between the distal-proximal skin temperature gradient (DPG) and vigilance in 38 young people with MDD (20.1{+/-}3.7 years, 65.9% female) using an in-laboratory protocol spanning 4h before, to 2h after, habitual sleep time. Participants were classified into DPGwarm and DPGcold subgroups based on being above or below median DPG before sleep onset. Linear mixed models adjusted for age and sex examined psychomotor vigilance task performance across timepoints. The DPGwarm subgroup (n=19) showed significantly worse performance than DPGcold (n=19) across the evening for mean reaction time (RT), reciprocal reaction time, number of lapses, and fastest 10% of RT (all p[&le;]0.003). Significant GroupxTime interactions were observed for mean RT (F(3,90.4)=5.00, p=0.003) and lapses (F(3,93.6)=6.73, p<0.001), with DPGwarm participants showing progressively worse performance approaching sleep onset. At 2h post-habitual sleep onset, DPGwarm participants exhibited slower RT ({Delta}=129ms, p<0.001) and nearly four times more lapses (14.9 vs 4.1, p<0.001). Performance decrements were not accompanied by differences in melatonin timing, subjective sleepiness or mood, suggesting DPG may index cognitive vulnerability independently. Of note, younger age was associated with greater vigilance decrements. These findings demonstrate that elevated peripheral skin temperature before sleep onset is associated with reduced vigilance in young people with MDD, and may therefore have potential utility as a non-invasive thermoregulatory biomarker of cognitive vulnerability.

Background Insomnia symptoms are common in older adults. While observational studies suggest physical activity (PA) timing affects health outcomes, its effect on sleep remains unclear. We compared morning versus evening PA effects on insomnia severity and sleep quality in older adults with insomnia symptoms. Methods Eligible participants were aged 60 to 80 years with (sub)clinical insomnia (Insomnia Severity Index [ISI] score [&ge;]10). In a randomized cross-over trial, participants engaged in coached PA in the morning (10:00 - 11:00) or evening (19:30 - 20:30) for 14 days each. ISI scores were assessed post-intervention. Objective sleep parameters; duration, latency, efficiency, and timing, were assessed with a Withings Sleep Analyzer under the mattress. Subjective sleep quality was reported daily via smartphone app. Salivary dim light melatonin onset (DLMO) was measured on the final day of each intervention. Results Of 37 participants (mean ISI 14.3 {+/-} 3.3), 27 completed the study (mean age 69.8 {+/-} 5; 63% women). ISI scores improved after both morning ({Delta} - 2.5; 95% CI: - 1.14, - 3.83) and evening ({Delta} - 2.0; 95% CI: - 0.63, - 3.38) activity relative to baseline, but were not different between interventions. Compared to evening activity, sleep midpoint occurred earlier with morning activity (03:40 vs 04:00; {Delta} - 20 min; 95% CI: - 31, - 8). No differences in subjective sleep quality or DLMO were found. Exploratory analyses suggested insomnia scores improved specifically in late chronotypes following morning activity. Conclusions While morning vs. evening PA timing did not impact most sleep quality measures, it influenced sleep timing. Larger studies are needed to define optimal and personalized PA timing for improving sleep.

Artificial light at night (ALAN) disrupts natural light cycles and interferes with light-dependent biological processes. However, the effect of ALAN on cellular processes in wildlife is unclear. We examined diel brain transcriptomic alterations in the diurnal damselfish Dascyllus aruanus by comparing fish exposed to three consecutive nights of ALAN with control fish, sampled during both the day and night. ALAN partially disrupted circadian regulation transcription, altering diel expression of the core clock regulator bmal1 and glucocorticoid-regulated genes. At night, ALAN triggered activation of genes indicative of neuronal activity and acute neural stress, along with suppression of restorative nocturnal processes. The following day, the transcriptomic divergence between ALAN-exposed and control fish expanded, with widespread downregulation of genes governing vascular homeostasis, coagulation, and immune function. Together, these findings indicate that ALAN reshapes brain transcriptomic programs across the entire diel cycle, identifying molecular signatures of physiological disruption in light-polluted marine environments.

The circadian clock is a highly conserved evolutionary advantage which allows organisms to anticipate regular changes in daily environmental conditions. Clocks from fungi to mammals rely on a transcription-translation feedback loop (TTFL) mechanism. Phosphorylation is understood to be a critical regulatory step for maintaining the period of the circadian clock and feedback loop closure. The role of kinases in the Neurospora clock has been examined extensively; however, phosphatases have not been systematically interrogated. By re-examining the Neurospora genome using current informatic tools we identified the 30 genes previously identified as encoding protein phosphatases as well as 13 novel genes, and we assessed the function of the core circadian clock in 39 non-essential phosphatases using a real-time luciferase reporter. We observed both period lengthening and shortening effects, which are not restricted to a single phosphatase family or fold. All but one deletion mutant maintained a rhythmic core clock. In addition, we observed a new temperature compensation defect in the previously studied knockout of phosphatase pph-4, the result of nutritional growth conditions.

The circadian clock genes Bmal1 and Nr1d1/2 (REV-ERB/{beta}) regulate skeletal muscle metabolism and homeostasis, yet the precise genes and mechanisms involved remain incompletely understood. Here, we perform Weighted Gene Co-expression Network Analysis (WGCNA) on skeletal muscle circadian transcriptomes with varying Bmal1 operational status to identify genes central to muscle circadian function. The largest WGCNA module, potentially under Bmal1 regulation, contains clock and muscle-specific output genes governed hierarchically by hub genes including Igf2bp2, an RNA-binding protein involved in muscle progenitor growth and maintenance. Igf2bp2 expression is rhythmic in mouse and human muscle and functional experiments in muscle-specific Bmal1 knockout mice show that Igf2bp2 is upregulated by loss of Bmal1 at ZT8 and negatively correlated with Nr1d2, suggesting de-repression through REV-ERB{beta} as a regulatory mechanism. Luciferase reporter experiments in cultured myotubes show that REV-ERB{beta}, but not REV-ERB, represses Igf2bp2 transcription and that repression is mediated by non-canonical GCC motifs in the Igf2bp2 promoter region. Together, these findings uncover a circadian Nr1d2-Igf2bp2 regulatory axis linking transcriptional and post-transcriptional regulation in skeletal muscle, with implications for muscle homeostasis. HighlightsO_LIIgf2bp2 clusters with Nr1d2 (Rev-erb{beta}) in circadian co-expression network C_LIO_LIBmal1 or Rev-erb[a]/{beta} knockout upregulates Igf2bp2 in muscle C_LIO_LIIgf2bp2 is rhythmic in WT muscle but arrhythmic in clock mutant muscle C_LIO_LIREV-ERB{beta} represses Igf2bp2 transcription in myotubes C_LIO_LIREV-ERB{beta} repression requires GCC motifs in the Igf2bp2 promoter C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/724827v1_ufig1.gif" ALT="Figure 1"> View larger version (89K): org.highwire.dtl.DTLVardef@2f569borg.highwire.dtl.DTLVardef@1df13a7org.highwire.dtl.DTLVardef@83538borg.highwire.dtl.DTLVardef@1e20983_HPS_FORMAT_FIGEXP M_FIG C_FIG

Background: Physical activity is a well-established modifiable risk factor for depression and anxiety. However, whether vigorous intermittent lifestyle physical activity (VILPA), defined as short, sporadic bouts embedded in daily life, confers mental health benefits remains unclear. We aimed to examine the associations of accelerometer-measured VILPA with risks of incident depression and anxiety among non-exercising adults. Methods: This prospective cohort study included 19,962 non-exercising adults (mean age 62.3 years) from the UK Biobank, free of depression and anxiety at baseline (2013-2015), with 7-day wrist-worn accelerometry data. Cox proportional hazards models and restricted cubic splines were used to examine associations between average daily duration of VILPA bouts lasting up to 1 or 2 minutes and these outcomes. Findings: Over an average follow-up of 7.8 years, 469 participants developed depression and 536 developed anxiety. Approximately 94.6% of participants engaged in VILPA bouts lasting up to 1 minute. Daily VILPA duration exhibited L-shaped associations with both depression and anxiety. Compared with participants who accumulated no VILPA, the whole-sample median daily VILPA duration for bouts lasting up to 1 minute, 4.1 minutes, was associated with a hazard ratio of 0.70 (95% confidence interval [CI]: 0.56-0.88) for depression and 0.79 (95% CI: 0.64-0.97) for anxiety. Findings were similar for VILPA bouts lasting up to 2 minutes. Interpretation: Among non-exercisers, even small amounts of VILPA were associated with substantially lower risks of depression and anxiety, highlighting the potential of high-intensity incidental physical activity as a feasible strategy for preventing depression and anxiety, particularly among individuals unable or unwilling to engage in structured exercise.

Introduction Knee pain is a highly prevalent condition in the general population and is more common than knee osteoarthritis. Population-based evidence linking metabolic dysfunction to knee pain remains limited, and data on sex-specific effects are scarce. Therefore, we examined sex-specific associations between metabolic dysregulation and knee pain in a population-based cohort. Method We analyzed data from a population-based cohort of 1,512 adults (mean age 37.2 years at baseline), of whom 250 completed follow-up after a mean of 9.4 years. Metabolic dysfunction was assessed using a continuous MetS severity score (cMetS) derived from waist circumference, triglycerides, HDL cholesterol, fasting glucose, and systolic blood pressure. Knee pain at follow-up was defined using a combined measure based on a standardized question and a body manikin. Logistic regression models were used to examine associations between baseline cMetS and knee pain, including interaction analyses by sex. Results At follow-up, 28.5% of participants reported knee pain. Higher baseline cMetS was associated with increased odds of knee pain in males (odds ratio [OR] 1.41, 95% confidence interval [CI] 1.17-1.69) but not in females (OR 0.94, 95% CI 0.84-1.07), with evidence of interaction by sex (interaction P < 0.001). Findings were consistent across sensitivity analyses. Conclusions These results indicate that metabolic dysfunction is associated with knee pain in males but not in females, suggesting sex-specific mechanisms linking metabolic dysfunction and knee pain.

Background: Rheumatoid arthritis is a chronic inflammatory disorder in which exercise is increasingly recognized as an important component of long-term management. Yet, most reviews in this field evaluate the effects of single exercise modalities, while bibliometric studies primarily identify publication trends and research hotspots without showing whether highly visible themes also represent coherent and comparatively mature evidence domains. Methods: We searched the Web of Science Core Collection for publications on exercise interventions in rheumatoid arthritis from 2016 to 2025. CiteSpace (6.4.1) and VOSviewer (1.6.20) were used to analyze publication growth, collaboration networks, keyword co-occurrence, thematic clusters, and burst terms. We then applied structured content coding in Excel 2021 to classify exercise modalities, outcome domains, and mechanistic topics, and integrated these findings into a visual evidence-distribution profile. Results: Publication output increased from 16 studies in 2016 to 37 in 2025. The United States led in productivity, Karolinska Institutet was the most prolific institution, and Kitas, Duda, and Metsios were among the most influential authors. Keyword analyses identified a shift from function- and disease-focused themes toward quality of life, risk factors, and comprehensive management. The integrated analysis revealed an uneven evidence structure: aerobic and resistance training accounted for the most concentrated and recurrently studied exercise-outcome domains, whereas mind-body and water-based interventions formed visible but methodologically heterogeneous clusters. Newer modalities, including blood flow restriction training and high-intensity interval training, showed growing prominence but limited depth of evidence. Conclusion:Exercise research in rheumatoid arthritis has evolved toward broader and more patient-centered management targets, but the field remains imbalanced across intervention types and outcome domains. This study demonstrates the value of combining bibliometric mapping with structured content analysis to distinguish thematic visibility from evidentiary coherence in heterogeneous intervention fields and may offer a transferable analytical framework for research evaluation beyond rheumatoid arthritis. Keywords: Rheumatoid Arthritis; Exercise Intervention; Bibliometrics; Content Analysis; Rehabilitation

Ramadan fasting represents a natural model of prolonged daily intermittent fasting associated with metabolic and circadian alterations. This study investigated longitudinal changes in intracortical excitability across pre-, mid-, and post-Ramadan timepoints in healthy adults observing Ramadan fasting. Thirty fasting participants underwent paired-pulse transcranial magnetic stimulation at three timepoints (pre-, mid-, and post-Ramadan). A non-fasting control group (n = 11) was assessed at pre- and mid-Ramadan. Conditioned motor-evoked potentials were recorded at interstimulus intervals of 2-10 ms and normalized to unconditioned responses. A linear mixed-effects model assessed effects of Timepoint and interstimulus interval (ISI). Secondary outcomes included blood glucose, cognitive performance, sleep duration, and reaction time. A significant main effect of Timepoint (p < 0.001) indicated longitudinal modulation of intracortical excitability, with increased MEP ratios at mid-Ramadan and partial persistence post-Ramadan. The ISI effect confirmed the inhibition-facilitation gradient (p < 0.001). The Timepoint x ISI interaction was not significant (p = 0.566), indicating a global shift in excitability without ISI-specific modulation. Blood glucose and sleep duration decreased significantly at mid-Ramadan. Ramadan fasting is associated with a time-dependent increase in intracortical excitability, most appropriately interpreted as a generalized shift rather than selective modulation of inhibitory or facilitatory circuits. These changes occur in the context of concurrent metabolic and sleep alterations and may reflect combined influences of fasting-related metabolic state and reduced sleep duration; however, these factors cannot be disentangled within the present design.

KaiC, a clock protein in cyanobacteria, cycles between dephosphorylated and phosphorylated states in a 24-hour period in the presence of KaiA and KaiB. We identified the 322nd residue of KaiC as a third example of period-tuning sites. 322nd-site-directed saturation mutagenesis resulted in a variety of KaiC mutants exhibiting either shortened or lengthened cycles. The tunable range of the periods was from approximately 11 to 78 h without significantly compromising temperature compensation. We conducted biochemical analyses of the 322nd variants and examined their predicted structural models. In contrast to another known period-tuning site, where the period decreases sharply as the side-chain volume increases due to mutations, the cycle lengths correlate only modestly with bulkiness at the 322nd residues. The 322nd residue is located in a C-terminal domain of KaiC and influences ATPase cycles in both the C-terminal domain and an N-terminal domain through its interaction with a flexible loop connecting the two domains. The structural models predict that placing less bulky but polar side chains, such as serine and threonine, at the 322nd position leads to the formation of a hydrogen-bonding network between that site and the loop. This reduces the mobility of the loop, resulting in the longer cycles due to decreases in the ATPase activity of the N-terminal domain. Conversely, placing bulky residues such as phenylalanine at the 322nd position appears to alter the loop structure, shortening the periods by enhancing the ATP activities of both the domains. The third period-tuning mechanism is distinct from other known mechanisms. Significance StatementA Kai-protein clock system serves as a model for studying how long circadian rhythms are achieved. We identified the 322nd residue of KaiC as a third example of period-tuning sites that allow tuning of the period in either long- and short-period directions. The third period-tuning mechanism differs from the two previously known types in several respects. Previous studies have suggested that the ATPase activity in an N-terminal domain of KaiC is the primary regulator of the period. On the other hand, the 322nd residues of KaiC can affect the period by activating the ATPase cycle in its C-terminal domain. Our findings will stimulate future studies on the period-tuning mechanism mediated by the ATPase activity in the C-terminal domain of KaiC.

Astrocytic homeostatic programs, many of which are regulated by the circadian clock, are disrupted early in neurodegenerative disease. The core clock transcription factor (TF) BMAL1 is required for normal astrocyte function, but its role during disease remains unclear. This is partly because methods for identifying cell type-specific TF binding sites are limited. Here, we developed MACS-Calling Cards (MACS-CC), a strategy for mapping astrocyte-specific TF occupancy in vivo. We used MACS-CC to define BMAL1 binding in the Cln3{Delta}ex7/8 mouse model of CLN3 disease, a fatal neurodegenerative disorder marked by early astrocyte dysfunction and circadian disruption. BMAL1 binding was extensively redistributed in Cln3{Delta}ex7/8 astrocytes: wild-type-specific binding sites enriched near glial differentiation genes, whereas Cln3{Delta}ex7/8-specific sites lacked functional enrichment. Consistent with these changes, Cln3{Delta}ex7/8 astrocytes decreased expression of mature astrocyte markers. To define mechanisms underlying BMAL1 retargeting, we tested whether altered chromatin accessibility explained the changes in BMAL1 binding. Although chromatin accessibility was broadly remodeled, differential accessibility did not predict BMAL1 redistribution. Instead, motif analysis suggested that loss of cooperative TF interactions drives BMAL1 retargeting. These findings demonstrate that MACS-CC enables astrocyte-specific TF occupancy mapping and reveals mechanisms behind early rewiring of circadian regulatory programs within a model of a neurodegenerative disease. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=80 SRC="FIGDIR/small/721783v2_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1ada239org.highwire.dtl.DTLVardef@7564a3org.highwire.dtl.DTLVardef@122222forg.highwire.dtl.DTLVardef@1f2729c_HPS_FORMAT_FIGEXP M_FIG C_FIG

When three cyanobacterial proteins--KaiA, KaiB, and KaiC--are incubated with ATP in vitro, the phosphorylation level of KaiC exhibits stable circadian oscillations. Biochemical and structural analyses have shown that KaiCs ATPase activity is crucial for these oscillations, leading to the hypothesis that ATP-consuming dynamics function as a molecular clock, determining the oscillation period of individual molecules. Moreover, these molecular clocks synchronize with one another, resulting in collective oscillations at the ensemble level. In this study, we develop a theoretical model to test this molecular clockwork hypothesis. Our model clarifies the relationship between the oscillation period and ATPase activity, explaining the significant changes in the period induced by amino-acid substitutions near the CI-CII domain boundary of the KaiC hexamer. Furthermore, the model addresses the physical basis for temperature compensation concerning both the oscillation period and ATPase activity. Thus, the molecular clockwork perspective provides a framework for understanding the atomic design behind collective oscillations.

Introduction: Actigraphy sleep-wake classification methods increasingly seek to leverage raw acceleration data and machine-learning-based classification, but performance evaluation in pediatrics is limited. We trained machine-learning models using pediatric data and compared their sleep-wake classification performance with existing algorithms for children. Methods: Sixty-five children (46% female, ages 5.3 to 17.7 years) completed in-lab overnight polysomnography and wore a GENEActiv device on their non-dominant wrist. The acceleration data were converted into 30-second epochs and aligned with physician-scored sleep-wake data from electroencephalography. Seven machine-learning models were trained using leave-one-subject-out cross-validation. Epoch-by-epoch analyses generated performance metrics (e.g., balanced accuracy [BA]) and discrepancy analyses provided overall sleep duration bias estimates. The combination of highest performance and least bias was used to rank using Euclidean distance scores - where a lower score represents closer to perfect performance and zero bias. For benchmarking, we included GGIR sleep scoring algorithms and an adult trained random forest classifier. Results: Overall, 560.1 hours of polysomnography and actigraphy data were collected (74.4% of epochs were scored as sleep). The pediatric-trained local-global long-short term memory (LSTM) classifier had the most optimal epoch-by-epoch performance (e.g., BA=0.85, sensitivity=0.88, specificity=0.83, ROC-AUC=0.95, and Cohen kappa=0.67). These metrics exceeded that of an adult-trained random forest classifier and GGIR-based algorithms. Discrepancy analyses revealed that overall sleep duration was underestimated by an average of 25 minutes using the LSTM classifier with no proportional bias. Conclusion: We trained seven pediatric sleep-wake classifiers that had strong ability to detect sleep and wake, with the LSTM classifier being most optimal.