Search Results (373)

Cognitive stress, also known as mental workload, constitutes a central topic within the field of psychophysiology due to its role in modulating attention, autonomic regulation, and stress reactivity. Furthermore, it bears direct relevance to practical monitoring systems that employ non-invasive sensing techniques. This study investigates whether a multimodal, non-invasive measurement setup can detect systematic physiological differences between Resting periods and short episodes of cognitive load within the same individuals. Additionally, it explores the capacity of such a system to differentiate tasks characterized by varying cognitive demands. A sequential, within-subject protocol was employed, comprising five consecutive phases (rest 1, Stroop, rest 12, subtraction, rest 3), during which five modalities were recorded concurrently: EEG, heart rate (HR), galvanic skin response (GSR), facial surface temperature, and oxygen saturation (SpO₂). Beyond phase-wise inspection of time-series data, an exploratory assessment of similarity across participants was conducted using correlation coefficients. The maximum cross-participant correlations observed were 0.88 (HR), 0.90 (GSR), 0.83 (facial temperature), and 0.77 (SpO₂); however, these correlations were used only as exploratory descriptors of inter-individual similarity and did not imply a significant phase effect. For inferential analysis, phase-wise epoch means were evaluated through one-factor repeated-measures ANOVA. The heart rate exhibited a robust main effect of phase (F(4, 32) = 10.5862, p_GG = 0.01044, ηp² = 0.5696), with higher HR observed during cognitive load epochs (e.g., 77.841 ± 11.777 bpm at rest 1 versus 83.926 ± 14.532 bpm during subtraction). The relatively large standard deviation reflects variability between subjects rather than variability within epochs. Regarding processed baseline-referenced GSR, the omnibus phase effect was not statistically significant under the conservative Greenhouse–Geisser correction; therefore, GSR was interpreted as exploratory in this dataset. Facial temperature and SpO₂ likewise did not show statistically significant omnibus phase effects under Greenhouse–Geisser correction (e.g., SpO₂: p_GG = 0.1209). EEG-derived measures provide supplementary central evidence of task engagement; entropy variations within an approximate dynamic range of 0.2 to 0.8 were observed, and the α/θ ratios demonstrated nearly a twofold distinction between rest and cognitive load epochs across different leads. Full article

Background/Objectives: Calcaneal spurs are pathological bone formations at entheseal attachment sites with clinical implications but limited forensic anthropological applications. While entheseal changes have been proposed as age estimation markers in forensic contexts, empirical validation remains insufficient, particularly for Southeast Asian populations. This study evaluated calcaneal spur utility for forensic age estimation in Thai skeletal remains while establishing population-specific osteological reference data for forensic individuation. Materials and Methods: The 3516 dry calcanei from 1758 Northeastern Thai skeletons (1031 males, 727 females; age 22–106 years) were examined. Spurs were classified by anatomical location as dorsal (D-type), plantar (P-type), or combined plantar–dorsal (P–D type). The morphometric measurements were performed bilaterally. Age-associated patterns were analyzed across four age cohorts (≤40, 41–50, 51–60, ≥61 years), and Random Forest machine learning classification tested forensic age estimation capacity using 10-fold cross-validation. Results: Overall prevalence reached 67.63% with distinctive P–D type predominance. While age-stratified prevalence increased from 24.56% (≤40 years) to 74.77% (≥61 years), Random Forest modeling explicitly demonstrated overall classification accuracy of 62.5%. Compared between sexes, the maximum length of calcaneal spurs was significantly longer in males. Dimensional analyses revealed weak age correlations and substantial inter-individual morphological variation precluded reliable age prediction. Interestingly, the unique P–D type distribution pattern (77.5% among spur-bearing individuals) may serve as an auxiliary marker for Thai population affinity assessment in forensic contexts. Conclusions: This study established the first comprehensive Thai-specific osteological reference for calcaneal spurs, revealing distinctive plantar–dorsal type predominance valuable for forensic population affinity assessment and provided population-specific baseline data for forensic individuation. Full article

Background/Objectives: To evaluate the intraday and interday reliability of seated horizontal upper body (UB) isometric push and pull tests performed with the VALD DynaMo Max dynamometer. Methods: Fifty-two recreationally active individuals (41 men, 11 women; 25.0 ± 6.1 years) completed two sessions 48 h apart, each comprising three maximal-effort push and pull trials at 90° elbow flexion using a custom-built rig with the attached dynamometer. Peak force (PF), peak rate of force development (RFD), impulse, and time-to-PF were extracted from 1200 Hz force–time data. Reliability was assessed using the intraclass correlation coefficient (ICC), coefficient of variation (CV%), standard error of measure (SEM) and minimal detectable change (MDC). Results: PF demonstrated excellent reliability (ICC = 0.97–0.99) with low absolute error (CV < 6%; MDC = 128–149 N). Impulse showed good-to-excellent reliability (ICC = 0.90–0.94; CV < 10%; MDC ≈ 755–790 N·s), whereas RFD displayed good reliability but greater variability (ICC = 0.80–0.81; CV < 20%; MDC = 2574–2925 N·s⁻¹). Time-to-PF was the least reliable (ICC = 0.68–0.71; CV > 24%; MDC = 1.5–1.7 s). Conclusions: Horizontal isometric push and pull tests using the VALD DynaMo Max dynamometer provide reliable measures of PF and impulse for athlete profiling and tracking substantial longitudinal changes. Peak RFD may be cautiously used for broad cross-sectional comparisons, although its higher variability limits precision in distinguishing smaller inter-individual differences and appears less sensitive to within-individual changes. Time-to-PF demonstrated insufficient reliability for practical application. Full article

Background: Polyphenols—bioactive compounds abundant in plant-based foods—are increasingly recognised for their capacity to modulate the gut microbiota. As the gut microbiome plays a central role in metabolic regulation, immune function, and disease prevention, understanding how specific polyphenol subclasses influence microbial diversity and functionality remains essential. Despite growing evidence of their benefits, the precise effects of flavonoids, phenolic acids, and anthocyanins on gut microbial composition are not yet fully clarified. Objective: This study aimed to evaluate the impact of dietary polyphenols on gut microbiota composition and function, with a particular focus on the abundance of Bifidobacterium, a key beneficial genus associated with metabolic and immune health. It was hypothesised that polyphenol-rich interventions were associated with increases in Bifidobacterium abundance and enhance overall microbial diversity. Design: A systematic review and meta-analysis were conducted following PRISMA guidelines. Human intervention studies published between January 2015 and February 2025 were retrieved from PubMed, Scopus, and Web of Science. A predefined PICO framework guided study selection. Twenty-two studies were synthesised using thematic analysis, and four of these were eligible for quantitative meta-analysis. The meta-analysis was performed in R (version 4.4.1) using the metafor and meta packages, calculating standardised mean differences (SMD) under a random-effects model to account for heterogeneity. Extracted data included study design, population characteristics, polyphenol subclass, intervention type, microbiome assessment method, and key outcomes. Results: Across the 22 reviewed studies, polyphenols—particularly flavonoids and phenolic acids from foods such as berries, grape pomace, and green tea—consistently increased beneficial microbial taxa including Bifidobacterium, Faecalibacterium, and Lactobacillus. These microbial shifts were associated with improved metabolic markers, reduced inflammation, and enhancements in gut barrier integrity. Polyphenol-rich dietary patterns also showed benefits in conditions such as NAFLD, prediabetes, and depression. However, findings were influenced by interindividual variability, short intervention durations, and inconsistent methodologies. The meta-analysis revealed a significant positive effect of polyphenol intake on Bifidobacterium abundance (SMD = 0.81; 95% CI: 0.18–1.44; p = 0.0114), corresponding to a moderate-to-large effect size. Substantial heterogeneity (I² = 77.4%) suggested considerable variation in intervention types, dosage, study design, and microbiome analysis methods. Conclusions: Polyphenol-rich diets were associated with increased Bifidobacterium abundance and favourable modulation of gut microbiota composition, supporting their potential as a nutritional strategy to enhance gut and metabolic health. However, interstudy variability highlights the need for more standardised, long-term, and mechanistically focused human trials. Future research should incorporate multi-omics approaches, personalised nutrition frameworks, and consistent microbiome analysis methods to better understand the pathways linking polyphenol intake and host health outcomes. Full article

Background: Tamoxifen remains the cornerstone of endocrine therapy for hormone receptor-positive breast cancer across Africa. Understanding the factors that influence tamoxifen tolerability is critical, as treatment-related side effects can reduce adherence and compromise therapeutic outcomes. Yet, the contribution of pharmacogenetic variation to tamoxifen-related toxicity remains poorly characterized in African populations. This study, therefore, investigated whether genetic variation in key pharmacogenes influences the risk of treatment-related side effects in a South African breast cancer cohort. Methods: A total of 166 women of Mixed and African Ancestry treated with 20 mg/day tamoxifen at Groote Schuur Hospital, South Africa, were included in the study. Genetic variation across 28 variants in nine pharmacogenes, including CYP2D6, CYP3A4/5, UGT1A4, UGT2B7/15, SULT1A1/2, and SULT1E1, was assessed using various genotyping methods. Associations between genetic and non-genetic factors and tamoxifen side effects were evaluated with logistic regression. Results: Over 70% of participants reported at least one treatment-related side effect. Overall side-effect burden was associated with SULT1A1 copy number variation (p = 0.030) and SULT1E1 rs3736599 (p = 0.042). Musculoskeletal complaints were the most common (40%) and were associated with UGT2B7 rs7439366 (p = 0.040) and CYP3A4 rs2242480 (p = 0.051). Gynecological symptoms affected more than 20% of participants and were linked to SULT1A2*2 (p = 0.050), SULT1E1 rs3736599 (p = 0.016), and UGT2B15 rs4148269 (p = 0.039). Hot flashes were frequent, affecting 33% of patients, but showed no clear pharmacogenetic associations. Conclusions: This study demonstrates that pharmacogenetic variation is associated with interindividual differences in treatment-related side effects, underscoring the need to expand research in African populations to better inform precision endocrine therapy. Full article

The replacement of fishmeal with plant protein is widely regarded as a key strategy for sustainable aquaculture. However, carnivorous marine fish often show limited tolerance to fishmeal-free diets. Here, we investigated growth performance, hepatic physiological responses, and molecular mechanisms underlying adaptation to a soy protein concentrate-based diet (SPCD) in golden pompano (Trachinotus ovatus). An 8-week feeding trial was conducted under communal rearing conditions, followed by the phenotypic stratification of SPCD-fed fish into high- and low-growth subgroups. Growth performance, serum biochemical indices, and liver histology were assessed, and integrated transcriptomic and metabolomic analyses were performed on liver tissue. At the population level, the SPCD resulted in reduced growth, a lower feed intake, and decreased feed utilization efficiency compared with a fishmeal-based diet. Notably, marked inter-individual variation was observed: fish fed the SPCD exhibited significantly lower final body weights and a higher FCR compared with the FMD group (p < 0.001), and pronounced growth divergence was observed between the PB and PS subgroups, with a subset of SPCD-fed fish maintaining growth comparable to fishmeal-fed controls, whereas others exhibited severely constrained growth. Divergent phenotypes were associated with distinct hepatic alterations, including aggravated vacuolation, the enrichment of tight junction-related and immune regulatory pathways, and the broad reprogramming of lipid metabolism. Integrated multi-omics analysis identified arachidonic acid metabolism as the most significantly perturbed pathway, characterized by altered membrane phospholipid composition, the upregulation of RARRES3L, increased COX/LOX-derived eicosanoids, and the suppression of the CYP–EET branch. Collectively, these findings indicate that soy protein replacement induces coordinated hepatic structural and metabolic remodeling, with tight junction disruption and arachidonic acid metabolic reprogramming contributing to inflammatory imbalance and divergent growth phenotypes in T. ovatus. Full article

In the past, bacteria detected in the mare’s uterus were generally interpreted as a sign of endometritis, since the uterus was considered a sterile environment. This assumption has been challenged by the introduction of culture-independent molecular techniques, particularly 16S rRNA amplicon sequencing, which have demonstrated that healthy mares harbor an endometrial microbiota. The aim of this study was to characterize the endometrial microbiota of healthy mares and to determine whether microbial composition differs between estrus and diestrus. Endometrial samples were collected from eleven healthy Standardbred mares during estrus and diestrus and analyzed by sequencing the V1–V2 region of the bacterial 16S rRNA gene. A total of 24 bacterial phyla and 599 genera were identified. At the phylum level, Firmicutes, Proteobacteria, Bacteroidota, and Actinobacteriota accounted for most of the relative abundance, while the most abundant genera were Staphylococcus, Acinetobacter, Sphingomonas, Corynebacterium, Streptococcus, Clostridium, and Pseudomonas. Alpha diversity was significantly higher during estrus, likely due to hormonally mediated changes in cervical opening and local immunity. Beta diversity analyses showed substantial overlap between estrus and diestrus samples. The phase of the cycle had a weak effect on microbiota structure, while inter-individual differences between mares explained a larger proportion of the observed variation. These findings suggest that the uterine microbiota of healthy mares is largely stable across the estrous cycle, with phase-dependent and mare-specific fluctuations in microbial composition. Full article

Background/Objectives: Lamotrigine is an anticonvulsant and mood stabilizer with wide interindividual pharmacokinetic variability, necessitating therapeutic drug monitoring (TDM). Patient-based quality control (PBQC) strategies, such as tracking median drug concentrations, may complement traditional quality assurance in routine laboratory practice. Methods: We retrospectively analyzed 15,963 lamotrigine results collected between February 2011 and December 2025 at Uppsala University Hospital, Uppsala. Data included age, sex, sampling date, and lamotrigine concentrations. Assays were performed using the Architect platform from February 2011 to January 2021, after which the Cobas Pro c 503 platform was implemented. Yearly patient medians were calculated, and trends, seasonal variation, and method agreement were assessed. Results: Of all the results, 5967 were from males and 9996 from females. Median concentrations were slightly higher in males (15.20 µmol/L) than in females (13.71 µmol/L), representing a weak but statistically significant difference (Spearman R = −0.048; p < 0.0001). The total number of reported results increased steadily over time, from 402 in 2011 to more than 1500 annually by 2024–2025. Median lamotrigine concentrations increased from 11.85 µmol/L in 2011 to 17.40 µmol/L in 2025 (Spearman R = 0.047; p < 0.0001). Seasonal variation in sample volume was observed, with peaks in November and troughs in July and December, but median concentrations remained stable (CV = 3.49%). Method comparison showed strong agreement between Architect and Cobas assays (R² = 0.97). Conclusions: Patient median lamotrigine concentrations serve as a robust PBQC tool, capable of detecting subtle analytical shifts while remaining resilient to seasonal fluctuations and platform transitions. This approach enhances confidence in assay reliability and supports safer therapeutic decision-making in real-world TDM practice. Full article

Background: Patterns of dysregulated eating, including overeating, frequent snacking, and heightened food cravings, are associated with an increased risk of obesity and metabolic disease. Eating behaviors are multidimensional and can influence many factors, including social, cultural, and biological processes. Emerging evidence suggests that genetic variation may contribute to inter-individual differences in appetite regulation and reward-related eating, potentially influencing susceptibility to dysregulated eating patterns and behaviors. Objectives: This exploratory, secondary analysis investigated possible relationships between the genetic variants FTO rs9939609, CLOCK rs1801260, MC4R rs17782313, and CD36 rs1761667 and eating behavior traits and postprandial appetite regulation in healthy young males. Methods: Thirty healthy males (27.7 ± 3.6 y; BMI 24.5 ± 2.7 kg/m²) completed the Three-Factor Eating Questionnaire (TFEQ-R18) and consumed a standardized burrito-style meal, with appetite tracked over four hours using visual analogue scales (VAS). VAS data were baseline-adjusted and summarized as incremental area under the curve (AUC) to generate two derived exploratory composites of appetite suppression and cravings suppression. Genotyping was performed using iPLEX MassARRAY, and associations were tested with ANOVA and linear regression models. Results: FTO rs9939609 was significantly associated with higher emotional eating scores (β = 11.67; 95% CI 3.50, 19.83; p = 0.007, unadjusted), and this association remained significant after false discovery rate (FDR) correction. CLOCK rs1801260 showed a nominal association with reduced postprandial cravings suppression (β = −59.17; 95% CI −104.98, −13.35; p = 0.013, unadjusted). No associations were observed for MC4R or CD36. Conclusions: This exploratory analysis found a strong association between FTO rs9939609 and emotional eating, as well as a nominal relationship between CLOCK rs1801260 and craving regulation. These findings should be interpreted as hypothesis-generating and require confirmation in larger cohorts. Full article

Gut microbial communities perform a multitude of physiological functions for their hosts; however, the drivers and distribution patterns of microbiota in wild animals remain largely underexplored. Our understanding of how these microbial communities are structured across hosts in natural environments—especially within a single host species remains limited. Here, we characterized the gut microbial communities of four species of ocean fish using 16S rRNA high-throughput sequencing to investigate the structural and functional features of these microbial communities across different fish species. By comparing the gut microbiota compositions of blue sharks (Prionace glauca), bigeye tuna (Thunnus obesus), sickle pomfret (Taractichthys steindachneri), and mackerel (Scomber japonicus), we identified several microbial taxa—including Photobacterium, Pelomonas, Ralstonia, and Rhodococcus—that were consistently detected across all samples, indicating they likely constitute a “common microbiota”. However, the relative abundances of these taxa varied significantly among species, with Photobacterium exhibiting the highest diversity. Blue sharks and bigeye tuna harbored relatively few dominant microbial species, but the abundance of these dominant bacteria was remarkably high, and inter-individual differences in microbial composition were pronounced. In contrast, mackerel and sickle pomfret contained a greater variety of dominant genera, each with low relative abundance, and inter-individual differences within the same species were minimal. Functionally, metabolic pathways, biosynthesis of secondary metabolites, and microbial metabolism represent the predominant functional categories of the intestinal microbiota in marine fish, with only minor interspecific differences observed. In contrast, biosynthesis of amino acids, ABC transporters, and two-component systems are the key functional pathways that exhibit significant variations across different fish species. Collectively, these findings reveal differences in gut microbial stability among different fish hosts. Such variations may be associated with the hosts’ energy utilization needs, and changes in the gut microbiota play a critical role in shaping the diverse survival strategies of these fish species. Full article

Background and Objectives: Endothelial dysfunction is an early indicator of cardiovascular disease and is commonly assessed using flow-mediated dilation (FMD). Although handheld ultrasound (HHUS) devices improve measurement accessibility, image analysis for conventional flow-mediated dilation (FMD) assessment remains time-consuming and highly operator-dependent. This study aimed to evaluate the between-day test–retest reliability of an AI-assisted brachial artery image analysis workflow integrating HHUS imaging with a YOLO_v12 deep learning model in postmenopausal women. Materials and Methods: Seventeen postmenopausal women aged 55–70 years completed two flow-mediated dilation assessments conducted seven days apart. Brachial artery images were acquired using a standardized FMD protocol with a handheld ultrasound system. An AI-assisted image analysis workflow based on a YOLO_v12 deep learning model was used to automatically measure baseline diameter (D_base), peak diameter (D_peak), absolute FMD (FMD_abs), and relative FMD (FMD%). Between-day reliability was evaluated using intraclass correlation coefficients (ICCs), coefficients of variation (CVs), and Bland–Altman analysis. Results: Good between-day repeatability was observed for baseline and peak diameters, with ICCs of 0.81 and 0.76 and low CVs (3.26% and 3.22%), respectively. Functional vascular outcomes also demonstrated good reliability, with ICCs of 0.81 for FMD_abs and 0.87 for FMD%. However, higher CVs were observed for FMD_abs (17.15%) and FMD% (19.09%), indicating substantial inter-individual variability. Bland–Altman analysis showed a small mean difference for FMD% (0.34%), with no evidence of systematic bias. Conclusions: An AI-assisted HHUS image analysis workflow integrating a YOLO_v12 deep learning model demonstrates acceptable between-day reliability for diameter-based and dilation-based measures of flow-mediated dilation in postmenopausal women. While variability in functional responses exists, the proposed system is feasible for research-oriented vascular assessment, providing a methodological foundation for future validation and clinical translation studies. Full article

The pharmacologic management of patent ductus arteriosus (PDA) presents a challenge to clinicians due to the interindividual variability in drug response to available medications. There is evidence that CYP2C9 is associated with the response to PDA treatment; however, no data from the Middle East is available. This study aimed to investigate the association between CYP2C8 and CYP2C9 genetic polymorphisms and response to ibuprofen or indomethacin in neonates with PDA. We conducted a retrospective cohort study of neonates with a gestational age < 32 weeks and birthweight < 1500 g with PDA between 2019 and 2023. Eligible neonates were those diagnosed with PDA and treated with at least one course of ibuprofen or indomethacin. Genotyping was performed to identify four single-nucleotide polymorphisms (SNPs), namely CYP2C8*3 rs10509681, CYP2C9*2 rs1799853, CYP2C9 rs2153628, and CYP2C9*3 rs1057910. Allele frequencies were compared between responders and non-responders, and non-genetic predictors were assessed using logistic regression. A total of 146 infants were identified. Of these, 86 were enrolled. Genetic analysis showed that the heterozygote genotype (TC) for the CYP2C8 gene was the most common (45%), while wild-type alleles were predominant for CYP2C9 variants. No significant differences in allele frequencies were found between responders and non-responders to the treatment (p > 0.05). In a secondary analysis, the need for multiple surfactant doses independently predicted poor response (aOR 0.244, 95% CI 0.086–0.693, p = 0.008), while extremely low birth weight showed a borderline association (aOR 0.281, 95% CI 0.062–1.268, p = 0.099). Carriers of CYP2C8*3 rs10509681, CYP2C9*2 rs1799853, CYP2C9 rs2153628, and CYP2C9*3 rs1057910 were not associated with variations in response to NSAIDs. Full article

Background/Objectives: This review integrates evolutionary, metabolic, genetic, and nutritional perspectives to explain how sterol-derived vitamin D pathways shape human physiology and inter-individual variability in vitamin D status. Methods: The literature on sterol and vitamin D metabolism across animals, plants, fungi, and algae was synthesized with data from metabolomics databases, genome-wide association studies, RNA-seq resources (including GTEx), structural biology, and functional genomics. Results: Vitamin D₂ and vitamin D₃ likely emerged early in evolution as non-enzymatic photochemical sterol derivatives and were later co-opted into a tightly regulated endocrine system in vertebrates. In humans, cytochrome P450 enzymes coordinate vitamin D activation and degradation and intersect with oxysterol production, thereby linking vitamin D signaling to cholesterol and bile acid metabolism. Tissue-specific gene expression and regulatory genetic variants, particularly in the genes DHCR7, CYP2R1, CYP27B1, and CYP27A1, contribute to population-level differences in vitamin D status and metabolic outcomes. Structural analyses reveal selective, high-affinity binding of 1,25-dihydroxyvitamin D₃ to VDR, contrasted with broader, lower-affinity ligand recognition by LXRs. Dietary patterns modulate nuclear receptor signaling through distinct yet convergent ligand sources, including cholesterol-derived oxysterols, oxidized phytosterols, and vitamin D₂ versus vitamin D₃. Conclusions: Sterol and vitamin D metabolism constitute an evolutionarily conserved, adaptable network shaped by UV exposure, enzymatic control, genetic variation, and diet. This framework explains inter-individual variability in vitamin D biology and illustrates how evolutionary and dietary modulation of sterol-derived ligands confers functional flexibility to nuclear receptor signaling in human health. Full article

Background/Objectives: Childhood metabolic dysregulation exerts a profound influence on the development of obesity and metabolic diseases. The human gut microbiota, with highly personalized characteristics, plays an important role in host metabolism. However, the dynamics of gut microbial features during this developmental phase are still unclear. This longitudinal observational study collected 204 fecal samples and 153 blood samples from 51 children (aged 8.90 ± 0.78 years) at four timepoints over 52 weeks, aiming to identify dynamic changes in individual gut microbiota and underlying mechanistic interactions that predict measures of pediatric metabolic health. Methods: Fecal samples were subjected to 16S rRNA gene amplicon sequencing and short-chain fatty acid quantification. Serum samples were analyzed for biochemical tests. Dietary intake, physical activity, clinical phenotypes, early-life factors, and fecal characteristics were further assessed. Results: In the results, the fecal microbiota dynamics exhibit inter-individual variation among children, allowing classification into high- and low-stability subgroups based on intra-individual β-diversity variability. Children with low-stability microbiota had adverse blood lipid profiles (p < 0.05). Compared to the high-stability group, the low-stability microbiota demonstrated significant association with low dietary fiber and highly variable amino acid consumption (|r| > 0.3, q < 0.05). Low-stability microbiota exhibited marked fluctuations in Phocaeicola vulgatus, which was strongly linked to both blood triglycerides and lipoprotein(a) levels, as well as dietary fiber and amino acid intake. Baseline depletion of P. vulgatus and Faecalibacterium duncaniae, combined with the children’s physiological status, lifestyle behaviors, and early-life factors, predicted microbial stability classification (AUROC = 0.93). Conclusions: These findings suggested that the variation in the gut microbiota dynamics could be considered as a possible complementary biomarker to understand the individualized responses within dietary interventions aimed at improving metabolic health in childhood. Further well-designed intervention study is needed to define these observational associations. Full article

DNA methylation is a central epigenetic mechanism that mediates the interaction between nutritional exposures and gene regulation. Emerging evidence demonstrates that diet, bioactive compounds, genetic background, and lifestyle factors collectively shape the human methylome, influencing metabolic function, disease susceptibility, and biological aging. This review synthesizes current knowledge on the molecular and biochemical mechanisms of DNA methylation, the role of nutrients and dietary patterns in modulating methylation dynamics, and findings from human clinical trials evaluating nutritional interventions. Genotype-specific responses, including polymorphisms in one-carbon metabolism and metabolic pathways, are discussed as key determinants of interindividual variation in methylation outcomes. The review further highlights the advances in epigenetic clocks, systems biology, and multi-omics integration that support the development of precision nutrition frameworks. Ethical considerations and future challenges related to data interpretation, accessibility, and the regulation of epigenetic testing are also examined. Collectively, this review provides an integrative perspective on how DNA methylation serves as a dynamic interface between diet and health and outlines opportunities for implementing personalized nutrition strategies to improve metabolic resilience and promote healthy aging. Full article