Circadian Rhythm Genes Research Articles

Optimizing Chronotherapy in Psychiatric Care: The Impact of Circadian Rhythms on Medication Timing and Efficacy

In many medical settings, medications are typically administered in the morning or evening, aligning with patients’ daily routines. This practice does not stem from chronotherapy, which involves scheduling drug administration to enhance its effectiveness, but rather from the way clinical operations are structured. The timing of drug administration can significantly affect a medication’s effectiveness and side effects, with the impact varying by up to ten times based on circadian rhythms. Disorders such as major depression, bipolar disorder, and schizophrenia are linked to disruptions in these rhythms. Recent studies have found that circadian dysfunctions, including genetic and neurohumoral changes, underlie many psychiatric conditions. Issues such as an altered glucocorticoid rhythm due to impaired HPA axis function, disturbed melatonin balance, and sleep disturbances have been noted in psychotic disorders. Furthermore, mood disorders have been associated with changes in the expression of circadian rhythm genes such as Clock, Bmal1, and Per. Considering that the absorption, biodistribution, effects on target organs, half-life, metabolism, and elimination of drugs are all influenced by the body’s circadian rhythms, this narrative review explores the optimal timing of medication administration to maximize efficacy and minimize side effects in the treatment of psychiatric disorders. By closely monitoring circadian variations in cortisol, melatonin, and key clock genes, as well as by deepening our understanding of the metabolisms and pharmacokinetics of antipsychotic medications, we propose a chronotherapy approach for psychiatric patients that could significantly enhance patient care.

Circadian rhythm genes contribute to the prognosis prediction and potential therapeutic target in gastric cancer

The role of circadian rhythm genes (CRGs) in gastric cancer (GC) is poorly understood. This study aimed to develop a CRG signature to improve understanding of prognosis and immunotherapy responses in GC patients. We integrated the The Cancer Genome Atlas-Stomach adenocarcinoma (TCGA-STAD) dataset with CRGs to develop a prognostic signature for GC. The signature’s predictive ability was validated using Kaplan-Meier and ROC curves. The CIBERSORT algorithm evaluated immune cell proportions, and tumor immune dysfunction and exclusion score, as well as immune phenotype score, determined the response to immunotherapy for STAD patients. Finally, we assessed signature genes expression using real-time quantitative polymerase chain reaction. We developed a 4-CRG signature for STAD, demonstrating accurate prognostic ability. The low-risk group showed increased B cell memory and CD8 + T cells, and decreased M2 Macrophages compared to the high-risk group. Patients in the low-risk group had a higher likelihood of benefiting from immunotherapy. Additionally, gastric cancer tissues exhibited elevated expression of OPN3 and decreased expression of TP53 compared to adjacent tissue. This study successfully established a prognostic signature for CRGs, accurately predicting prognosis and immunotherapeutic response among STAD patients, providing insights for the development of personalized therapeutic strategies for these patients.

Search for signals of positive selection of circadian rhythm genes PER1, PER2, PER3 in different human populations.

The diversity of geographically distributed human populations shows considerable variation in external and internal traits of individuals. Such differences are largely attributed to genetic adaptation to various environmental influences, which include changes in climatic conditions, variations in sleep and wakefulness, dietary variations, and others. Whole-genome data from individuals of different populations make it possible to determine the specific genetic sites responsible for adaptations and to further understand the genetic structure underlying human adaptive characteristics. In this article, we searched for signals of single nucleotide polymorphisms (SNPs) under selection pressure in people of different populations. To identify selection signals in different population groups, the PER1, PER2 and PER3 genes that are involved in the coordination of thermogenic functions and regulation of circadian rhythms, which is directly reflected in the adaptive abilities of the organism, were investigated. Data were analyzed using publicly available data from the 1000 Genomes Project for 23 populations. The Extended Haplotype Homozygosity Score statistical method was chosen to search for traces of selection. The comparative analysis performed identified points subject to selection pressure. The SNPs were annotated through the GWAS catalog and manually by analyzing Internet resources. This study suggests that living conditions, climate, and other external factors directly influence the genetic structure of populations and vary across races and geographic locations. In addition, many of the selection variants in the PER1, PER2, PER3 genes appear to regulate biological processes that are associated with major modern diseases, including obesity, cancer, metabolic syndrome, bipolar personality disorder, depression, rheumatoid arthritis, diabetes mellitus, lupus erythematosus, stroke and Alzheimer's disease, making them extremely interesting targets for further research aimed at identifying the genetic causes of human disease.

The Change Rate of the Fbxl21 Gene and the Amino Acid Composition of Its Protein Correlate with the Species-Specific Lifespan in Placental Mammals.

This article proposes a methodology for establishing a relationship between the change rate of a given gene (relative to a given taxon) together with the amino acid composition of the proteins encoded by this gene and the traits of the species containing this gene. The methodology is illustrated based on the mammalian genes responsible for regulating the circadian rhythms that underlie a number of human disorders, particularly those associated with aging. The methods used are statistical and bioinformatic ones. A systematic search for orthologues, pseudogenes, and gene losses was performed using our previously developed methods. It is demonstrated that the least conserved Fbxl21 gene in the Euarchontoglires superorder exhibits a statistically significant connection of genomic characteristics (the median of dN/dS for a gene relative to all the other orthologous genes of a taxon, as well as the preference or avoidance of certain amino acids in its protein) with species-specific lifespan and body weight. In contrast, no such connection is observed for Fbxl21 in the Laurasiatheria superorder. This study goes beyond the protein-coding genes, since the accumulation of amino acid substitutions in the course of evolution leads to pseudogenization and even gene loss, although the relationship between the genomic characteristics and the species traits is still preserved. The proposed methodology is illustrated using the examples of circadian rhythm genes and proteins in placental mammals, e.g., longevity is connected with the rate of Fbxl21 gene change, pseudogenization or gene loss, and specific amino acid substitutions (e.g., asparagine at the 19th position of the CRY-binding domain) in the protein encoded by this gene.

Circadian Rhythm Genes and Their Association with Sleep and Sleep Restriction

Deprivation of sleep (DS) and its effects on circadian rhythm gene expression are not well understood despite their influence on various physiological and psychological processes. This study aimed to elucidate the changes in the expression of circadian rhythm genes following a night of sleep and DS. Their correlation with sleep architecture and physical activity was also examined. The study included 81 participants who underwent polysomnography (PSG) and DS with actigraphy. Blood samples were collected after PSG and DS. Expression levels of brain and muscle ARNT-like 1 (BMAL1), circadian locomotor output cycles kaput (CLOCK), neuronal PAS domain protein 2 (NPAS2), period 1 (PER1), cryptochrome 1 (CRY1) and nuclear receptor subfamily 1 group D member 1 (NR1D1) were analyzed using qRT-PCR. DS decreased the expression of CLOCK and BMAL1 while increasing PER1. PER1 expression correlated positively with total sleep time and non-rapid-eye-movement (NREM) sleep duration and negatively with sleep latency, alpha, beta and delta waves in the O1A2 lead. Physical activity during DS showed positive correlations with CLOCK, BMAL1, and CRY1. The findings highlight the role of PER1 in modulating sleep patterns, suggesting potential targets for managing sleep-related disorders. Further research is essential to deepen the understanding of these relationships and their implications.

Adaptive Differences in Cellular and Behavioral Responses to Circadian Disruption between C57BL/6 and BALB/c Strains.

The regulation of the mammalian circadian clock is largely dependent on heredity. In model animals for circadian rhythm studies, C57BL/6 and BALB/c mice exhibit considerable differences in their adaptation to circadian disruption, yet deeper comparisons remain unexplored. Here, we have established embryonic fibroblast cells derived from C57BL/6 mice (MEF) and BALB/c (BALB/3T3) mice, which have been transfected with the Bmal1 promoter-driven luciferase (Bmal1-Luc) reporter gene. Next, dexamethasone was applied for various cyclic stimulations, which revealed that Bmal1 bioluminescence of MEF cells was entrained to 24 to 26 h cycles, whereas BALB/3T3 cells have a wider range (22 to 28 h) with lower amplitudes. Behaviorally, BALB/c mice swiftly adapted to a 6-h advance light/dark cycle, unlike C57BL/6 mice. Furthermore, we found the expression of the circadian rhythm gene Npas2 in BALB/c mice is significantly lower than that in C57BL/6 mice. This observation is consistent with the differentially expressed genes (DEGs) in the intestine and lung tissues of C57BL/6 and BALB/c mice, based on the RNA-seq datasets downloaded from the Gene Expression Omnibus (GEO). In summary, our study uncovers that BALB/c mice possess greater resilience in circadian rhythm than C57BL/6 mice, both cellular and behaviorally, identifying potential genes underlying this difference.

RhLHY-RhTPPF-Tre6P Inhibits Flowering in Rosa hybrida Under Insufficient Light by Regulating Sugar Distribution.

Light is crucial for flower bud development in plants, serving as both signal and energy source. However, the mechanisms by which daylength and light intensity regulate flowering in modern roses remain unclear. In Rosa hybrida 'Carola', insufficient light delays flowering and reduces the sugar content in terminal buds. RNA sequencing identified the Trehalose-6-phosphate phosphatase F (RhTPPF) gene as a key responder to insufficient light, modulating Tre6P metabolism. Overexpression of RhTPPF in rose calli enhanced sugar accumulation and suppressed the synthesis of RhCO/FT. In tobacco, overexpression of RhTPPF delayed the transition from vegetative growth to flowering, while silencing RhTPPF in roses accelerated flowering. Silencing RhTPPF in roses elevated trehalose-6-phosphate (Tre6P) levels and decreased trehalose. Transcriptome data showed that the expression level of RhTPPF was highly correlated with the circadian rhythm gene LATE ELONGATED HYPOCOTYL (RhLHY). Yeast one-hybrid assays, dual luciferase assays and EMSA revealed that RhLHY directly binds to the RhTPPF promoters. Overexpression of RhLHY suppressed flowering, while silencing RhLHY promoted flowering. Furthermore, altering the expression of RhLHY influenced Tre6P synthesis and the expression of sucrose-related transport genes. These findings suggest a RhLHY-RhTPPF-Tre6P regulatory module that maintains sugar balance and inhibits flower formation under reduced light conditions by modulating sugar distribution.

Abstract B057: The circadian master regulator BMAL1 blocks immune cell recognition of pancreatic ductal adenocarcinomas via tumor-derived interleukin-1 receptor antagonist

Abstract Many tumor types, including pancreatic adenocarcinomas, have dysregulated circadian rhythms. Previous work in our lab has shown that disseminated dormant tumor cells have increased expression of Dec2, a circadian rhythm gene, and knocking out Dec2 leads to increased overall survival in our murine resectable PDAC model. To see whether the effect of Dec2 is due to a circadian effect, we deleted the master regulator circadian gene, BMAL1. Using CRISPR-generated knockout (KO) cell lines, we saw that loss of Bmal1 completely abrogated metastasis in immunocompetent mice, but not in immunocompromised mice indicating an immune mediated mechanism. Similarly in our murine resectable PDAC model, loss of BMAL1 led to an increase in overall survival in immunocompetent mice only. Looking at the tumor microenvironment, we saw an increase in CD4+ and CD8+ T cell infiltration in the tumors derived from the BMAL KO cells. We then evaluated the BMAL KO cells for their cytokine secretion and saw that loss of BMAL1 led to decreased interleukin-1 receptor antagonist both in vitro and in vivo. IL-Ra has been shown in literature to suppress the immunogenic anti-tumor response by impairing the activities of APCs, CD4+ and CD8+ T cells and disruption of IL-1Ra can reverse the TME towards more immunogenic leading to an antitumor effect. Taken together these studies implicate Bmal1 in regulating anti-tumor immunity in PDAC through its regulation of IL-1Ra secretion. This is a novel function for a circadian rhythm gene in PDAC biology. Citation Format: Orjola Prela, Lan Wang, Chris Harris, Darren Carpizo. The circadian master regulator BMAL1 blocks immune cell recognition of pancreatic ductal adenocarcinomas via tumor-derived interleukin-1 receptor antagonist [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr B057.

Abstract PR-12: The circadian rhythm gene Dec2 regulates multiple components of the antigen presentation pathway to promote pancreatic cancer dormancy by immune evasion

Abstract Metastatic recurrence following curative-intent pancreatic surgery is a major clinical problem as nearly all die of this at both early and latent periods following surgery. While latent recurrences are due to the reactivation of disseminated dormant tumor cells, the mechanisms that regulate dormancy remain unclear. Using a novel model of early-stage resectable pancreatic cancer that mimics early and latent outcomes in patients, we identified Dec2 (bhlh41) a transcriptional repressor and circadian regulator, as upregulated in dormant tumor cells harvested from the liver. Disseminated tumor cells harvest from the livers of latent recurrent mice were Dec2 hi/Ki67lo indicating that these cells are dormant. We confirmed the relationship of Dec2 and Ki67 in human pancreatic cancer using liver tissue specimens from patients with metastatic disease whereby small clusters of metastatic cells were Dec2hi/Ki67lo and larger metastatic tumors were Dec2lo/Ki67hi. To understand the mechanism of Dec2 in dormancy we deleted Dec2 from the tumor cells evaluated them in the resection model and observed a substantial increase in survival after resection due to an immune mediated mechanism as the survival benefit was abrogated in immunodeficient conditions indicating that Dec2 promotes tumor progression through immune mediated mechanism. Dec2 promotes immune evasion by downregulating multiple components of the antigen presentation pathway including proteosome and immunoproteosome genes, MHCI and MHCI chaperones. As Dec2 is a circadian regulator, we evaluated several components of the antigen presentation pathway including proteosome and surface MHCI and found these to display oscillation that was not only anti-phase with Dec2 but resulted in differential T-cell mediated tumor cell killing depending on the time of day. These studies elucidate a new mechanism by which Dec2 regulates cancer dormancy through immune evasion and identifies several novel therapeutic strategies to restore anti-tumor immunity. They also provide the first evidence that antigen presentation is under circadian regulation in pancreatic cancer. Citation Format: Chris Harris, Crissy Dudgeon, Lan Wang, Orjola Prela, Juliana Cazarin de Menezes, Brian Altman, Brian Haab, Chongfeng Gao, Zachary Klamer, Anna Repesh, Subhajyoti De, Darren R Carpizo. The circadian rhythm gene Dec2 regulates multiple components of the antigen presentation pathway to promote pancreatic cancer dormancy by immune evasion [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr PR-12.

Bmal1 regulates the stemness and tumorigenesis of gliomas with the Wnt/β-catenin signaling pathway

BackgroundThe circadian rhythm gene Brain and Muscle Arnt-like1 (Bmal1) acts as a transcription factor and plays a crucial role in oncogenesis and embryonic development. Bmal1 is notably overexpressed in various tumors, including glioma. However, the precise mechanisms underlying the elevated Bmal1 expression in glioma malignancy remain unclear. MethodsThis study employed multiple databases, including The Cancer Genome Atlas (TCGA), GTEx, and cBioportal, to analyze Bmal1 mRNA expression in gliomas, evaluate its prognostic significance, investigate transcriptome alterations, identify key signaling pathways associated with Bmal1, and examine its interaction with tumor stem cells. Additionally, experimental validation was performed to confirm Bmal1′s regulatory effects on glioma stem cells. ResultsOur analysis revealed differential Bmal1 expression across glioma grades and molecular subtypes. Moreover, Bmal1 significantly influences several tumor-related signaling pathways, notably the Mapk, Met, and Wnt pathways, and is actively involved with stem cells. A strong positive correlation was observed between Bmal1 and glioma stem cell markers, such as Nestin, Sox2, and Cd133. Experimental validation confirmed that Bmal1 promotes stem cell expansion and tumor progression via the Wnt/β-catenin pathway. ConclusionThis study underscores the critical regulatory function of Bmal1 in glioma development. The interaction between Bmal1 and glioma stem cells appears to significantly impact glioma initiation and progression.

A Circadian Rhythm-related Signature to Predict Prognosis, Immunei Infiltration, and Drug Response in Breast Cancer.

Circadian rhythm genes (CRRGs) play essential roles in cancer occurrence and development. However, the prognostic significance of CRRGs in breast cancer (BC) has not been fully elucidated. Our study aimed to develop a prognostic gene signature based on CRRGs that can accurately and stably predict the prognosis of BC. The transcriptome data and clinical information for BC patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A consensus unsupervised clustering analysis was carried out to investigate the roles of CRRGs in BC. A CRRGs-related prognostic risk model was established by using logistic least absolute shrinkage and selection operator (LASSO) Cox regression and univariate Cox regression analyses. Kaplan-Meier (KM) curves analysis, time-dependent receptor operation characteristics (ROC) curves analysis, and nomogram were plotted to evaluate the predictive efficacy of the model. The relevance of risk score to the immune cell infiltration, tumor burden mutation (TMB), and therapeutic response was assessed. A risk model comprising six CRRGs (SLC44A4, SLC16A6, TPRG1, FABP7, GLYATL2, and FDCSP) was constructed and validated, demonstrating a good predictor of BC. The low-risk group displayed a higher number of immune activities and immune checkpoint expression and a lower burden of tumor mutation. Additionally, drug sensitivity analysis demonstrated the prognostic signature may serve as a potential chemosensitivity predictor. We established 6 CRRGs-related risk signatures for the prognosis of BC, which is of great value in predicting the prognosis of patients with BC and guiding the treatment for BC.

Identification of a circadian-based prognostic signature predicting cancer-associated fibroblasts infiltration and immunotherapy response in bladder cancer.

Circadian rhythm disruption impacts the efficiency of both chemotherapy and immunotherapy, yet identifying the key factors involved remains challenging. Circadian rhythm disruption can trigger aberrant fibroblasts activation, suggesting potential roles of cancer-associated fibroblasts (CAFs) in addressing this issue. In this paper, TCGA-BLCA patients were classified into two subgroups based on the expression of core circadian rhythm genes (CCRGs). The CCRG-based subgroups showed distinct fibroblast-related signals, from which a risk model composed of five fibroblast-related genes was finally established with excellent survival prognostic value in both TCGA and GEO datasets. The risk model was positively associated with the infiltration of CAFs and can efficiently predict the immunotherapy response in BLCA. Besides, high-risk score was associated with reduced sensitivity to a majority of traditional chemotherapeutic drugs such as oxaliplatin and gemcitabine. Further, the correlation between CCRGs and the risk genes was analyzed. Among the five risk genes, FAM20C displayed the most extensive correlation with the CCRGs and exhibited the strongest connection with CAFs infiltration. Moreover, FAM20C independently served as a predictor for the response to immunotherapy in BLCA. In conclusion, this study has identified a circadian-based signature for evaluating CAFs infiltration and predicting the efficacy of chemotherapy and immunotherapy. The central gene FAM20C has emerged as a promising candidate which merits further investigations.

Short-term PM2.5 exposure and DNA methylation changes of circadian rhythm genes: evidence from two experimental studies

Short-term PM2.5 exposure and DNA methylation changes of circadian rhythm genes: evidence from two experimental studies

Exploring transcriptomic databases: unraveling circadian gene disruptions in lower grade glioma

The study explored the role of circadian rhythm genes (CRGs) in lower grade glioma (LGG) development and found that certain genes, such as CRY1, NPAS2, and RORB, were associated with increased or decreased risk of LGG. The study also investigated the correlation between CRGs and immune cell infiltration, revealing a negative association with macrophage infiltration and a positive correlation with B cell and CD8 + T cell infiltration. Additionally, the study identified major mutated CRGs, including PER2, BMAL1, CLOCK, and BMAL2, and their potential interaction with other CNS-associated genes. The study suggests that CRGs play a crucial role in immune response and tumorigenesis in LGG patients and warrants further investigation.

Genomic insights into ecological adaptation of oaks revealed by phylogenomic analysis of multiple species

Understanding the ecological adaptation of tree species can not only reveal the evolutionary potential but also benefit biodiversity conservation under global climate change. Quercus is a keystone genus in Northern Hemisphere forests, and its wide distribution in diverse ecosystems and long evolutionary history make it an ideal model for studying the genomic basis of ecological adaptations. Here we used a newly sequenced genome of Quercus gilva, an evergreen oak species from East Asia, with 18 published Fagales genomes to determine how Fagaceae genomes have evolved, identify genomic footprints of ecological adaptability in oaks in general, as well as between evergreen and deciduous oaks. We found that oak species exhibited a higher degree of genomic conservation and stability, as indicated by the absence of large-scale chromosomal structural variations or additional whole-genome duplication events. In addition, we identified expansion and tandem repetitions within gene families that contribute to plant physical and chemical defense (e.g., cuticle biosynthesis and oxidosqualene cyclase genes), which may represent the foundation for the ecological adaptation of oak species. Circadian rhythm and hormone-related genes may regulate the habits of evergreen and deciduous oaks. This study provides a comprehensive perspective on the ecological adaptations of tree species based on phylogenetic, genome evolutionary, and functional genomic analyses.

Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach.

Melanoma is a highly malignant skin tumor with poor prognosis. Circadian rhythm is closely related to melanoma pathogenesis. This study aimed to identify key circadian rhythm genes (CRGs) in melanoma and explore their potential as diagnostic and prognostic biomarkers. Microarray data of melanoma tissues and normal skins were obtained. Differentially expressed genes were identified and weighted gene co-expression network analysis (WGCNA) was performed to screen hub genes associated with melanoma. By overlapping hub genes with known CRGs, 125 melanoma-related CRGs were identified. Functional enrichment analysis revealed these CRGs were mainly involved in circadian rhythm and other cancer-related pathways. Three machine learning algorithms including LASSO regression, support vector machine-recursive feature elimination (SVM-RFE), and random forest were utilized to select key CRGs. Six CRGs (ABCC2, CA14, EGR3, FBXW7, LDHB, and PSEN2) were identified as key CRGs for melanoma diagnosis and prognosis. Diagnostic values of key CRGs were evaluated by ROC analysis in training and validation sets. Prognostic values of key CRGs were assessed by survival analysis and a multivariate Cox regression prognostic model was constructed. The prognostic model could effectively stratify melanoma patients into high- and low-risk groups with significantly different survival. A nomogram integrating clinical variables and risk score was built to predict 3-, 5- and 10-year overall survival of melanoma patients. In summary, six CRGs were identified as key genes associated with melanoma pathogenesis and may serve as promising diagnostic and prognostic biomarkers. The prognostic model and nomogram could facilitate personalized prognosis evaluation of melanoma patients.

Mining key circadian biomarkers for major depressive disorder by integrating bioinformatics and machine learning.

This study aimed to identify key clock genes closely associated with major depressive disorder (MDD) using bioinformatics and machine learning approaches. Gene expression data of 128 MDD patients and 64 healthy controls from blood samples were obtained. Differentially expressed were identified and weighted gene co-expression network analysis (WGCNA) was first performed to screen MDD-related key genes. These genes were then intersected with 1475 known circadian rhythm genes to identify circadian rhythm genes associated with MDD. Finally, multiple machine learning algorithms were applied for further selection, to determine the most critical 4 circadian rhythm biomarkers. Four key circadian rhythm genes (ABCC2, APP, HK2 and RORA) were identified that could effectively distinguish MDD samples from controls. These genes were significantly enriched in circadian pathways and showed strong correlations with immune cell infiltration. Drug target prediction suggested that small molecules like melatonin and escitalopram may target these circadian rhythm proteins. This study revealed discovered 4 key circadian rhythm genes closely associated with MDD, which may serve as diagnostic biomarkers and therapeutic targets. The findings highlight the important roles of circadian disruptions in the pathogenesis of MDD, providing new insights for precision diagnosis and targeted treatment of MDD.

Impact of food additives on neurodevelopmental processes in zebrafish (Danio rerio): Exploring circadian clock genes and dopamine system.

Assessing the impact of food additives on neurodevelopmental processes extends beyond traditional acute toxicity evaluations to address subtler, long-term effects. This study investigates the impact of common food additives (tartrazine, sunset yellow, sodium benzoate, and aspartame) on neurodevelopment in zebrafish embryos, observed from 18hours postfertilization (hpf) to 91 days postfertilization (dpf). Results show reduced 96hpf locomotor activity after aspartame exposure, with elevated additives correlating with decreased heart rates and induced neurodegenerative phenotypes, including bent tails and abnormal pigmentation. Although locomotor activity decreases at 7 days postexposure, a gradual recovery is observed. Transcriptome analysis indicates alterations in clock genes (Cry2 and Per2) and dopamine-related genes (NURR1 and tyrosine hydroxylase) in zebrafish larvae. Dietary additive exposure during embryonic development impacts clock genes, influencing dopamine activity and resulting in neurobehavioral changes. This study underscores potential risks associated with dietary additive exposure during critical developmental stages, warranting reconsideration of consumption guidelines, especially for expectant mothers. Observed neurodevelopmental toxicity, even below recommended levels, emphasizes the importance of safeguarding neurodevelopmental health in early life. Our findings contribute to understanding the neurotoxic effects of dietary additives, emphasizing the necessity of protecting neurodevelopment during vulnerable periods. This study is the first to demonstrate a direct correlation between food additives and the dysregulation of key circadian rhythm and dopaminergic genes in zebrafish, providing new insights into the neurodevelopmental impacts of dietary additives. These findings pave the way for further research into the molecular mechanisms and potential implications for human health.

Natural Compounds that Modulate Circadian Rhythms.

Circadian rhythms of innate 24 h cycles comprise well-conserved biological phenomena from cyanobacteria to mammalian. They are driven by light and regulated by clock genes that work as transcription factors and control the expression of many other genes and physiological functions in the cells. The expression of ~ 40% of protein-coding genes shows 24 h oscillation patterns in mice, implying their importance in normal body functions. Indeed, the physiological and behavioural rhythmicity generated through clock genes-mediated multiple mechanisms affects the quality of life at large. Disrupted circadian rhythmicity is associated with several kinds of diseases. For example, cancer cells show abnormal expression patterns for circadian rhythm genes that have been shown to regulate oncogenesis, drug responses, and disease prognosis. Furthermore, the modern globalisation of human lifestyle and business and social activities have disrupted innate circadian rhythm, resulting in a variety of diseases through disrupted humoral, immunological, and neuronal pathways. Safe and sustainable modulation of circadian rhythm has become a prevalent need that warrants basic and interventional research, as well as clinical investigations. Although traditional systems of medicine suggest some natural compounds with circadian rhythmmodulating potential, most of these have not been validated in laboratory or clinical studies. Reliable read-outs of the effects of test compounds on circadian rhythmicity have been limited by the availability of live cell assays. We have, herein, provided an overview of living cell-embedded real- time reporter gene assays designed for screening compounds that modulate circadian rhythm, and discussed the potential of some natural compounds for circadian rhythm modulation as validated by cell-based assay systems, and their role in disease therapeutics.

Short-Term PM2.5 Exposure and DNA Methylation Changes of Circadian Rhythm Genes: Evidence from Two Experimental Studies.

The circadian rhythm regulates many crucial physiological processes, impacting human aging and aging-related outcomes. Observational evidence links circadian rhythm disturbance to PM2.5 exposure, yet the underlying DNA methylation mechanisms remain unclear due to limited PM2.5-dominated experimental settings. Therefore, we investigated the associations between short-term PM2.5 exposure and DNA methylation changes of 1188 CpG candidates across circadian genes among 32 young adults in the FDU study, with the validation in 26 individuals from the PKU study. Further mediation analyses tested whether DNA methylation of circadian genes could mediate the influence of PM2.5 on aging measured by three epigenetic ages: DNAmGrimAge, DunedinPoAm, and the mortality risk score. We identified three CpG sites associated with personal PM2.5 exposure: cg01248361 (CSNK2A2), cg17728065 (RORA), and cg22513396 (PRKAG2). Acute effects of PM2.5 on the three loci could be mediated by several circulating biomarkers, including MDA and EGF, with up to ∼30% of mediated proportions. Three loci further showed varying potentials in mediating the aging acceleration effect of PM2.5. Locus cg17728065 is the key site exhibiting a robust mediating effect (7.54-12.52%) on PM2.5-induced aging acceleration. Our findings demonstrated that PM2.5, even short-term peaks, could leave imprints on human aging via inducing aberrant temporal fluctuation in circadian homeostasis captured by DNA methylation profiles.