Search Results (138)

Fungi, from saprophytes to pathogens, face predictable daily fluctuations in light, temperature, humidity, and nutrient availability. To cope, they have evolved an internal circadian clock that confers a major adaptive advantage. This review critically synthesizes current knowledge on the molecular architecture and physiological relevance of fungal circadian systems, moving beyond the canonical Neurospora crassa model to explore the broader phylogenetic diversity of timekeeping mechanisms. We examine the core transcription-translation feedback loop (TTFL) centered on the FREQUENCY/WHITE COLLAR (FRQ/WCC) system and contrast it with divergent and non-canonical oscillators, including the metabolic rhythms of yeasts and the universally conserved peroxiredoxin (PRX) oxidation cycles. A central theme is the clock’s role in gating cellular defenses against oxidative, osmotic, and nutritional stress, enabling fungi to anticipate and withstand environmental insults through proactive regulation. We provide a detailed analysis of chrono-pathogenesis, where the circadian control of virulence factors aligns fungal attacks with windows of host vulnerability, with a focus on experimental evidence from pathogens like Botrytis cinerea, Fusarium oxysporum, and Magnaporthe oryzae. The review explores the downstream pathways—including transcriptional cascades, post-translational modifications, and epigenetic regulation—that translate temporal signals into physiological outputs such as developmental rhythms in conidiation and hyphal branching. Finally, we highlight critical knowledge gaps, particularly in understudied phyla like Basidiomycota, and discuss future research directions. This includes the exploration of novel clock architectures and the emerging, though speculative, hypothesis of “chrono-therapeutics”—interventions designed to disrupt fungal clocks—as a forward-looking concept for managing fungal infections. Full article

Background/Objectives: Advances in nanopore sequencing have opened new avenues for studying DNA methylation at single-base resolution, yet their application in epigenetic ageing research remains underdeveloped. Methods: We present a novel framework that leverages the unique capabilities of nanopore sequencing to profile and interpret age-associated methylation patterns in native DNA. Results: Unlike conventional array-based approaches, long reads sequencing captures full CpG context, accommodates diverse and repetitive genomic regions, removes bisulfite conversion steps, and is compatible to the latest reference genome. Conclusions: This work establishes nanopore sequencing as a powerful tool for next-generation epigenetic ageing studies, offering a scalable and biologically rich platform for anti-ageing interventions monitoring and longitudinal ageing studies. Full article

Lymphoid neoplasms (LN), a diverse group of malignancies arising from lymphocytes, exhibit a striking increase in incidence with chronological age, suggesting a deep connection with the aging process. While chronological age remains a primary risk factor, the concept of biological age, reflecting an individual’s physiological state and susceptibility to age-related diseases, offers a more nuanced understanding of this relationship. Aging clocks, particularly epigenetic clocks based on DNA methylation, provide quantitative measures of biological age and have revealed associations between accelerated aging and increased cancer risk, including LN. Immunosenescence, the age-related decline in immune function characterized by thymic involution, altered lymphocyte populations, and chronic inflammation (inflammaging), appears to be a key mechanistic link between aging and LN development, potentially providing a more accurate predictor of cancer risk than mutation accumulation alone. Accelerated biological aging, measured by various clocks, correlates with LN risk and progression (e.g., in chronic lymphocytic leukemia), and may influence treatment tolerance and outcomes, particularly in older adults who are often burdened by frailty and comorbidities like sarcopenia. Integrating biological age assessments into clinical practice holds promise for refining diagnosis, prognosis, and personalizing treatment strategies (including guiding intensity and considering anti-aging interventions), and improving outcomes for patients with LN. This review synthesizes the current understanding of the intricate relationship between LN, immunosenescence, biological age, and aging clocks, highlighting clinical implications and key future research directions aimed at translating these insights into better patient care. Full article

Cystic fibrosis (CF) is the most common severe autosomal recessive disease among Caucasians. Modulators of cystic fibrosis transmembrane conductance regulator (CFTR) mutated protein significantly improved the outcome of subjects with CF. In the present study, we studied epigenetic age, applying the Horvath clock model, in 52 adult subjects with CF, all treated with elexacaftor/tezacaftor/ivacaftor (ETI). At baseline (T0), we found that half of the subjects have a significantly accelerated epigenetic age and a worse lung function, evaluated by forced expiratory volume in one second (FEV1). One year of ETI therapy (T1) impacted both the parameters, indicating that therapy with modulators must be started early, particularly in CF subjects with impaired lung function. The second group of CF subjects had an epigenetic age lower than the chronological one at T0 and lung function was better maintained. In these subjects, ETI therapy further improved lung function and tended to increase the epigenetic age, possibly improving metabolic functions and the general state of well-being. This also translates into an increase in the physical activities of a group of subjects who, before the therapy, had grown up under a glass bell. The analysis of epigenetic age may represent a potential biomarker to assess the individual outcome of the therapy in subjects with CF, although long-term studies need to evaluate it. Full article

Blood bacterial DNA (BB-DNA) has been identified as a novel biomarker for metabolic dysfunction, yet its relationship with epigenetic features in type 2 diabetes mellitus (DM2) patients remains largely unexplored. This study investigated the relationship between BB-DNA and epigenetic, inflammatory, and aging-related markers in 285 elderly both with and without DM2. BB-DNA levels were higher in DM2 patients than in non-diabetic subjects, with the highest levels in those with severe renal impairment. BB-DNA showed a positive association with plasma IL-1β, linking bacterial DNA to systemic inflammation. Epigenetic analysis revealed a negative correlation between BB-DNA and DNA methylation-based leukocyte telomere length, suggesting accelerated aging in DM2. Additionally, BB-DNA was positively associated with DNAm-based biological age estimators, particularly DNAmPhenoAge and DNAmAge Skin Blood Clock. BB-DNA also correlated with DNAmVEGFA and DNAmCystatin C, key markers of diabetic nephropathy and vascular dysfunction. Furthermore, BB-DNA levels were associated with hypomethylation of genes involved in inflammation (e.g., IL1β, TNFα, IFNγ), cellular senescence (p16, p21, TP53), and metabolic regulation (e.g., IGF1, SREBF1, ABCG1, PDK4). These associations suggest that increased BB-DNA may reflect and potentially promote a pro-inflammatory and pro-senescent epigenetic profile in DM2. Importantly, many of these associations remained significant after adjusting for diabetes status, supporting BB-DNA as a robust biomarker across clinical subgroups. These findings provide new insights into the relationship between BB-DNA, inflammation, and epigenetic aging in DM2, highlighting BB-DNA as a potential biomarker for disease progression and complications, particularly in relation to renal dysfunction and systemic inflammation. Full article

We present EpInflammAge, an explainable deep learning tool that integrates epigenetic and inflammatory markers to create a highly accurate, disease-sensitive biological age predictor. This novel approach bridges two key hallmarks of aging—epigenetic alterations and immunosenescence. First, epigenetic and inflammatory data from the same participants was used for AI models predicting levels of 24 cytokines from blood DNA methylation. Second, open-source epigenetic data (25 thousand samples) was used for generating synthetic inflammatory biomarkers and training an age estimation model. Using state-of-the-art deep neural networks optimized for tabular data analysis, EpInflammAge achieves competitive performance metrics against 34 epigenetic clock models, including an overall mean absolute error of 7 years and a Pearson correlation coefficient of 0.85 in healthy controls, while demonstrating robust sensitivity across multiple disease categories. Explainable AI revealed the contribution of each feature to the age prediction. The sensitivity to multiple diseases due to combining inflammatory and epigenetic profiles is promising for both research and clinical applications. EpInflammAge is released as an easy-to-use web tool that generates the age estimates and levels of inflammatory parameters for methylation data, with the detailed report on the contribution of input variables to the model output for each sample. Full article

Circadian rhythms govern cellular metabolism, redox balance, and endocrine signaling in numerous tissues. However, chronic disturbance of these biological rhythms, mediated by modern lifestyle factors including shift work, sleep irregularity, and prolonged light exposure, has been increasingly associated with oxidative stress, metabolic dysregulation, and the pathogenesis of chronic diseases. This review discusses recent mechanistic advances that link circadian misalignment with tissue-specific metabolic reprogramming and impaired proteostasis, focusing on metabolic inflammation and associated pathologies. Emerging work reveals a close interdependence between the circadian clock and proteasome-mediated protein turnover and highlights this interplay’s importance in maintaining redox homeostasis. Furthermore, circadian modulation of the activity of the inflammasome complex is suggested to represent an important, but largely unexplored, risk factor in the pathobiology of both malignancy and metabolic syndrome. Recently, researchers have proposed them as novel endocrine regulators of systemic energy balance and inflammation, with a focus on their circadian regulation. In addition, the emerging domains of chrono-epigenetics and tissue-specific programming of the clock pathways may serve to usher in novel therapies through precision medicine. Moving ahead, circadian-based therapeutic approaches, including time-restricted feeding, chronopharmacology, and metabolic rewiring, have high potential for re-establishing physiological domain homeostasis linked to metabolic inflammation pathologies. Elucidating this reciprocal relationship between circadian biology and cellular stress pathways may one day facilitate the generation of precise interventions aiming to alleviate the health burden associated with circadian disruption. Full article

Youth exposed to early-life adversity (ELA) are at greater risk for poorer physical and mental health outcomes in adolescence and adulthood. Although the biological mechanisms underlying these associations remain elusive, DNA methylation (DNAm) has emerged as a potential pathway. DNAm-based measures of epigenetic age have been associated with ELA, indicating accelerated aging. According to the stress sensitization hypothesis, prenatal adversity may further heighten sensitivity to subsequent stressors in childhood and adolescence. This study examined the associations between ELA and six epigenetic aging measures, considering both the timing of adversity and the participant’s sex. Data were drawn from the Quebec Longitudinal Study of Child Development, with two cumulative indices of ELA derived from prospectively collected data: the Perinatal Adversity and the Child and Adolescent Adversity indices. Higher Perinatal Adversity scores were associated with accelerated DunedinPACE scores. No significant associations were found between ELA and the other epigenetic clocks, nor did we find support for the stress sensitization hypothesis—though a sex-specific trend emerged among girls. The findings suggest that DunedinPACE may be more sensitive to variations in ELA than other clocks. Future research should systematically investigate sex-dimorphic associations between ELA and epigenetic aging, with particular attention to the impact of perinatal adversity. Full article

Epigenetic biomarkers offer promising potential for early identification and risk stratification of frail individuals susceptible to adverse cardiovascular outcomes. This scope review aimed to identify and evaluate epigenetic biomarkers concurrently associated with frailty and increased cardiovascular risk, potentially facilitating more precise patient stratification and treatment decisions. A two-stage literature search was performed using PubMed, Scopus, Web of Science, and Embase databases from the year 2000 through 27 December 2024. Stage 1 identified studies reporting epigenetic biomarkers associated with frailty in blood-derived human samples. Stage 2 assessed cardiovascular relevance by screening the frailty biomarkers identified in Stage 1 for their documented association with cardiovascular diseases. Two independent reviewers conducted screening, data extraction, and risk-of-bias assessments, resolving disagreements via a third reviewer. The primary outcomes were the association of biomarkers with frailty severity and cardiovascular risk. Key epigenetic biomarkers identified included microRNAs (particularly miR-21, miR-146a, miR-451, and miR-92a) and DNA methylation markers (LINE-1 methylation, epigenetic clocks like GrimAge and DunedinPACE, and possibly novel, emerging clocks like DNAmCVDscore and the Smoking Index). Due to specificity limitations, these biomarkers are most promising when used collectively as part of multimarker panels rather than individually. Future research should validate multimarker panels, explore novel biomarkers, and assess clinical integration to optimize precision medicine in frail cardiovascular populations. Full article

Background/Objectives: DNA methylation profiles have emerged as robust biomarkers of ageing, leading to the development of “epigenetic clocks” that estimate biological age. Most established clocks (e.g., Horvath’s 353-CpG pan-tissue clock and Hannum’s 71-CpG blood clock) require dozens to hundreds of CpG sites. This study presents a novel saliva-specific epigenetic clock built on 10 sites identified from Illumina MethylationEPIC (850 k) array data. Methods: Saliva DNA methylation was analysed from 3408 individuals (age range 15–89 years, 68% male, 32% female, no diagnosed disease) from the Muhdo Health Ltd. dataset (2022–2024), and 10 CpG sites were selected where methylation levels showed the strongest positive correlations with chronological age (Pearson r = 0.48–0.66, p < 1 × 10−20). These CpGs map to genes involved in developmental and metabolic pathways (including ELOVL2, CHGA, OTUD7A, PRLHR, ZYG11A, and GPR158). A linear combination of the 10 methylation sites was used to calculate a “DNA methylation age”. Results: The 10-CpG clock’s predictions were highly correlated with chronological age (r = 0.80, R2 = 0.64), with a mean absolute error of ~5.5 years. Its performance, while slightly less precise than Horvath’s or Hannum’s multi-CpG clocks, is notable given the minimal marker set. It was observed that all 10 clock CpGs undergo age-related hypermethylation. The biological significance of these loci is discussed, along with the potential health and forensic applications of a saliva-based epigenetic age predictor. Conclusions: This study demonstrates that a saliva-specific epigenetic clock using only 10 CpG sites can capture a substantial portion of age-related DNA methylation changes, providing a cost-effective tool for age estimation. Full article

Electrical stimulation (ES) is widely employed in both clinical therapies and research settings where it has shown promise in promoting tissue regeneration, wound healing, and inflammation control. Research has also highlighted ES as a regulator of DNA demethylation, which plays a critical role in nerve regeneration and cellular repair mechanisms. While the impact of ES on epigenetic processes is recognized, its broader effects on cellular functions, particularly in inflammation and wound healing, are less understood. We recently showed how ES impacts inflammatory states by modulating transcriptomic and metabolomic profiles in a 3Din vitromodel where human fibroblasts and keratinocytes are included in a collagen matrix, i.e., even in the absence of the nervous system. Here, we propose to deepen our exploration on the differential effects on DNA methylation, including an investigation of the correlation with age acceleration using a mitotic clock. These results confirm and caution on the differential effect of DC on inflamed and non-inflamed samples and suggest an involvement of direct current stimuli at 1 V ($DC1$) in the control of senescent processes associated with mitosis and inflammation; the mechanistic details of these will have to be clarified with additional experiments. Full article

Aging and cancer, though distinct biological processes, share overlapping molecular pathways, particularly in epigenetic regulation. Among these, DNA methylation is central to mediating gene expression, maintaining cellular identity, and regulating genome stability. This review explores how age-associated changes in DNA methylation, characterized by both global hypomethylation and focal hypermethylation, contribute to the emergence of cancer. We discuss mechanisms of DNA methylation drift, the development of epigenetic clocks, and the role of entropy and epigenetic mosaicism, in aging and tumorigenesis. Emphasis is placed on how stochastic methylation errors accumulate in aging cells and lead to epiallelic shifts and gene silencing, predisposing tissues to malignant transformation, even despite recently increased cancer incidences at younger ages. We also highlight the translational potential of DNA methylation-based biomarkers, and therapeutic targets, in age-related diseases. By framing cancer as a disease of accelerated epigenetic aging, this review offers a unifying perspective and calls for age-aware approaches to both basic research and clinical oncology. Full article

Nowadays, scientists are making efforts to elucidate the mechanisms involved in the phenotypic changes underlying the aging process in order to develop favorable therapeutical interventions. Epigenetic modifications, in particular DNA methylation, play a crucial role in the aging process, and this parameter has been used to set epigenetic clocks, algorithms that predict an individual’s biological age based on a defined set of CpGs. In this review, we focus on the most recent literature to discuss the use of epigenetic clocks in the context of cognitive decline and dysregulation of Alzheimer’s disease (AD)-related gene expression. We have summarized all published scientific papers in which epigenetic clocks have been applied to measure age acceleration in blood and brain specimens from patients affected with AD. Progressive age acceleration, consistent with a specific DNA methylation signature, was observed in patients affected by AD, and it was correlated with the onset of complex diseases, mitochondrial alterations, dementia and cognitive decline, even in the early stages of these conditions. The use of epigenetic clocks might be a valuable biomarker to enable an earlier identification of ideal measures to reverse modifications caused by aging and to mitigate multiple aspects of disease/aging mechanisms. Full article

Our study tests residential segregation as an explanation for biological aging disparities between Black and White Americans. We analyze data from 288 Black and White older-age adults who participated in Wave 6 (2019) of the Americans’ Changing Lives study, a nationally representative cohort of adults in the contiguous United States. Our outcome of interest is epigenetic age acceleration assessed via five epigenetic clocks: GrimAge, PhenoAge, SkinBloodAge, HannumAge, and HorvathAge. Residential segregation is operationalized at the census tract level using the Getis-Ord G_i* statistic and multilevel modeling procedures that adjust for state-level clustering. We uncover three key findings. First, epigenetic age profiles are comparable among White respondents regardless of where they live. Second, Black respondents express roughly three years of accelerated epigenetic age (GrimAge), relative to White counterparts, regardless of where they live. Third, diminished education levels and homeownership rates, coupled with elevated levels of traumatic stress and smoking, explain why Black residents in segregated Black areas exhibit accelerated epigenetic age. However, these factors do not explain why Black respondents living outside segregated Black areas also exhibit epigenetic age acceleration. Our findings suggest residential segregation only partially explains why Black Americans tend to live shorter lives than White Americans. Full article

Despite the significant progress made in the development of epigenetic age (eAge) clocks designed to estimate the various aspects of aging, currently available models, generated using large DNA methylation microarray datasets, still cannot fully address the issues of batch effects and technical variation. This hinders the use of the publicly available eAge clocks in routine laboratory practice, and it motivates the development of cost-effective, custom epigenetic clocks that are tailored to the given biological subjects and research methods. In this study, we analyzed the local DNA methylation of mesenchymal stem cell samples during culture expansion using high-throughput targeted bisulfite sequencing (BS-seq). Using the obtained data, we trained a minimized eAge model based on a Random Forest Regression with Leave-One-Out Cross-Validation, which determines cell passage with good performance (MAE 1.094 and R² 0.897) and which is comparable to previous solutions. Using the advantage of BS-seq to analyze consecutive CpGs methylation patterns, we demonstrated that combining the analysis of average DNA methylation levels with local methylation heterogeneity scores—thereby reflecting stochastic DNA methylation dynamics—can improve the quality of the epigenetic clock models. Therefore, we propose a research strategy for creating customized epigenetic clocks using targeted BS-seq and provide a mechanistic conceptualization of how information on longitudinal changes in DNA methylation patterns can potentially be used for the assessment of specific aging aspects. Full article