Chronological Age Research Articles

SARS-CoV-2 booster vaccine dose significantly extends humoral immune response half-life beyond the primary series

SARS-CoV-2 lipid nanoparticle mRNA vaccines continue to be administered as the predominant prophylactic measure to reduce COVID-19 disease pathogenesis. Quantifying the kinetics of the secondary immune response from subsequent doses beyond the primary series and understanding how dose-dependent immune waning kinetics vary as a function of age, sex, and various comorbidities remains an important question. We study anti-spike IgG waning kinetics in 152 individuals who received an mRNA-based primary series (first two doses) and a subset of 137 individuals who then received an mRNA-based booster dose. We find the booster dose elicits a 71–84% increase in the median Anti-S half life over that of the primary series. We find the Anti-S half life for both primary series and booster doses decreases with age. However, we stress that although chronological age continues to be a good proxy for vaccine-induced humoral waning, immunosenescence is likely not the mechanism, rather, more likely the mechanism is related to the presence of noncommunicable diseases, which also accumulate with age, that affect immune regulation. We are able to independently reproduce recent observations that those with pre-existing asthma exhibit a stronger primary series humoral response to vaccination than compared to those that do not, and further, we find this result is sustained for the booster dose. Finally, via a single-variate Kruskal-Wallis test we find no difference between male and female humoral decay kinetics, however, a multivariate approach utilizing  Least Absolute Shrinkage and Selection Operator (LASSO) regression for feature selection reveals a statistically significant (p<1×10-3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$<1\ imes 10^{-3}$$\\end{document}), albeit small, bias in favour of longer-lasting humoral immunity amongst males.

Timing of onset of menses after GnRH agonist treatment for central precocious puberty.

To understand possible predictors of the onset of menses after gonadotropin-releasing hormone agonist treatment cessation in girls with central precocious puberty (CPP). This exploratory post hoc analysis of a phase 3 and 4 trial of girls with CPP treated with once-monthly intramuscular leuprolide acetate examined onset of menses after treatment completion using a time-to-event analysis. Pretreatment and end-of-treatment chronologic age (CA), bone age (BA)/CA ratio, and Tanner breast stage; pretreatment menses status; and end-of-treatment BA and body mass index (BMI) were studied as potential factors influencing the onset of menses. Median time to first menses after stopping treatment was 18.3months among 35 girls (mean age at onset of treatment, 6.8 years) examined. Of 26 girls experiencing menses, 11 (42 %) menstruated at 16-21months after stopping treatment. Most girls with pretreatment BA/CA≥1.4 started menstruating very close to 18months after stopping treatment; those with less advanced BA/CA experienced menses at 9-18months. End-of-treatment BA/CA≥1.2 was associated with a quicker onset of menses (14.5 vs. 18.5months for BA/CA<1.2, p=0.006). End-of-treatment BA≥12 years predicted longer time to menses. No relationship with time to menses was observed for pretreatment menarche status, pretreatment or end-of-treatment Tanner breast stage (<3/≥3) or CA (<6/≥6 or≤11/>11), or end-of-treatment BMI percentiles (<85.6/≥85.6 and <92.6/≥92.6). Pretreatment menarche status or CA do not appear to predict onset of menses, but pre- and end-of-treatment BA/CA may be helpful in anticipating time to first menses after stopping treatment.

Comparison of two methods in maxillary canine retraction

The aim of this prospective clinical study is to evaluate the effects of laceback and Uprighter techniques on maxillary canine retraction using digital models and panoramic radiographs and to compare the results.Sixteen patients (10 females, 6 males) with an average chronological age of 16.24±2.99 years, requiring fixed orthodontic treatment with upper canines located in a high vestibular position and the need for bilateral first premolar extraction, were included in this study. 0.018-inch Roth brackets were used in the patients. In this split-mouth design study, while laceback was used on one side, Uprighter was used on the other side. Tooth movements were measured on three-dimensional models and panoramic radiographs obtained at the beginning of treatment (T0), 2 months later (T1), and 3.5 months later (T2). Two-way analysis of variance was applied for the comparison of differences between the groups in repeated measurements.The difference between groups was found to be statistically significant in terms of canine distalization, canine rotation, and molar angulation amounts. There was no statistically significant difference in the other parameters.Both uprighter and laceback techniques can be applied in maxillary canine cases located in the high vestibule. When Uprighter is used, the canine is distalized much more. However, it should be noted that while more molar tipping may occur when laceback is used, more canine distopalatal rotation may occur when uprighter is used.

How do Children with Intellectual Disabilities Empathize in Comparison to Typically Developing Children?

Two studies were conducted to better understand how children with intellectual disabilities (ID) empathize with the feelings of others during social interactions. The first study tested hypotheses of developmental delay or difference regarding empathy in 79 children with ID by comparing them with typically developing (TD) children, matched for developmental age or chronological age. The second study examined specific aspects of empathy in 23 children with Down syndrome (DS), compared with 23 nonspecific ID children, matched for developmental age, and TD children, matched for developmental age or chronological age. An empathy task was administered to the children while their parents completed the French versions of the Empathy Questionnaire and the Griffith Empathy Measure. The first study showed that ID children showed delayed empathy development but were perceived by their parents as deficient in cognitive empathy. The second study showed that DS children were perceived as being more attentive to the feelings of others than TD children and non-specific ID children, matched for developmental age, and as having affective empathy that was similar to that of TD children matched for chronological age. These studies have drawn attention to delays or differences in different dimensions of empathy in children with ID and DS, which need to be taken into account in interventions.

The Role of Age Variables in Family Language Policy

Family language policy (FLP) provides a critical framework to explain the planning of language use in the home. It constitutes a dynamic construct that sheds light on variations in the language acquisition of bilingual children, potentially explaining the shifts that may occur in language dominance and preference. The environment and life experiences are thought to shape FLP, yet little is known about the function of age. This study examines the association of FLP with children’s chronological age and the age they become bilingual. Data were collected via questionnaires from parents and their bilingual children (n = 82) aged 5.08–14.08 (M = 8.98, SD = 3.27) speaking English (heritage language) and Hebrew (societal language). Correlations and logistic regressions indicate a relationship between FLP and dimensions of age. Findings reveal that age may have repercussions for parent language beliefs, patterns of language use within the home, and the adoption of language promotion strategies. Younger children and children with a later age of onset of bilingualism are associated with families who lean towards a pro-heritage language FLP. Considering dimensions of age enhances our understanding of FLP and may offer a greater insight into how languages are supported in the bilingual home.

‘Does it matter how old I feel?’ The role of subjective age in a psychosocial intervention for improving depressive symptomatology among older adults in Brazil (PROACTIVE)

Objectives Depression is a prevalent mental health condition that also often affects older adults. The PROACTIVE psychosocial intervention was developed to reduce depressive symptomatology among older adults within primary care settings in Brazil. An important psychological marker that affects individuals’ aging experience relates to how old people feel. Known as subjective age, this marker has been shown to be a risk factor for experiencing greater depressive symptoms if individuals report feeling older than their (chronological) age. In this study, we perform secondary analyses of the PROACTIVE cluster-randomized controlled trial to examine the role of subjective age. Method The sample included 715 Brazilian older adults (74% female, M age 68.6, SD = 6.9, age range: 60–94 years) randomized to intervention (n = 360, 74% female, M age 68.4, SD = 6.6, age range: 60–89 years) or control (n = 355, 74% female, M age 68.9, SD = 7.2, age range: 60–94 years) arms. Here our primary outcome was depressive symptoms at the 8-month follow-up assessed with the 9-item Patient Health Questionnaire (PHQ-9) as a continuous variable. Our previous analyses demonstrated improved recovery from depression at follow-up in the intervention compared with the control arm. Results Relevant main effects and interactions in regression models for PHQ-9 presented here found that those reporting older subjective age had worse depressive symptoms at follow-up but that they benefitted more from the intervention when initial levels of depression were high. For participants who reported younger subjective ages the intervention showed positive effects that were independent of initial levels of depression. Conclusion Our findings emphasize the importance of investigating possible underlying mechanisms that can help clarify the impact of mental health interventions.

Unraveling the Anti-Aging Properties of Phycocyanin from the Cyanobacterium Spirulina (Arthrospira platensis).

In recent years, marine natural products have become one of the most important resources of novel lead compounds for critical diseases associated with age. Spirulina, a dietary supplement made from blue-green algae (cyanobacteria: scientific name Arthrospira platensis), is particularly rich in phycocyanin, a phycobiliprotein, which accounts for up to 20% of this cyanobacterium's dry weight and is considered responsible for its anti-cancer, anti-inflammatory and antioxidant activities. Although the anti-aging activity of phycocyanin has been investigated, how exactly this compound works against aging remains elusive. The aim of our research is to use the yeast Saccharomyces cerevisiae as a model organism to investigate the anti-aging properties of phycocyanin from A. platensis. Our results show that phycocyanin has a powerful anti-aging effect, greatly extending the chronological life span of yeast cells in a dose-dependent way, as the effect was also pronounced when cells were grown in SD medium under calorie restriction conditions (0.2% glucose). Both ROS and accumulation of dead cells were followed by staining chronologically aged cells with dihydrorhodamine 123 (DHR123) and propidium iodide (PI). Interestingly, we found that most of the aged phycocyanin-treated cells, which were unable to form colonies, were actually ROS+/PI-. Finally, we show that the moment in which phycocyanin is added to the culture does not substantially influence its effectiveness in counteracting chronological aging.

Integrative analysis of the methylome and transcriptome of tomato fruit (Solanum lycopersicum L.) induced by postharvest handling

Abstract Tomato fruit ripening is triggered by the demethylation of key genes, which alters their transcriptional levels thereby initiating and propagating a cascade of physiological events. What is unknown, is how these processes are altered when fruit are ripened using postharvest practices to extend shelf-life, as these practices often reduce fruit quality. To address this, postharvest handling-induced changes in the fruit DNA methylome and transcriptome, and how they correlate with ripening speed, and ripening indicators such as ethylene, ABA, and carotenoids, were assessed. This study comprehensively connected changes in physiological events with dynamic molecular changes. Ripening fruit that reached ‘Turning’ (T) after dark-storage at 20°C, 12.5°C, or 5°C chilling (followed by 20°C rewarming), were compared to fresh-harvest fruit ‘FHT’. Fruit stored at 12.5°C, had the biggest epigenetic marks and alterations in gene expression, exceeding changes induced by postharvest chilling. Fruit physiological and chronological age were uncoupled at 12.5°C, as the time-to-ripening was the longest. Fruit ripening to Turning at 12.5°C was not climacteric; there was no respiratory or ethylene burst, rather, fruit were high in ABA. Clear differentiation between postharvest-ripened and ‘FHT’ was evident in the methylome and transcriptome. Higher expression of photosynthetic genes and chlorophyll levels in ‘FHT’ fruit, pointed to light as influencing the molecular changes in fruit ripening. Finally, correlative analyses of the -omics data putatively identified genes regulated by DNA methylation. Collectively, these data improve our interpretation of how tomato fruit ripening patterns are altered by postharvest practices, and long-term are expected to help improve fruit quality.

Facing off-time mortality: Leaving a legacy.

Considering one's legacy is usual in later life but may be accentuated after receiving a serious and terminal cancer diagnosis. This may be particularly true when timing of the diagnosis is nonnormatively early, evoking the sense of losing future years of life. Acknowledging the severity of one's illness may also promote focus on legacy. We investigated the extent to which older individuals diagnosed with cancer narrated communion (i.e., loving, caring themes) when telling their legacy, including narration of aftermath concerns (i.e., concern for how others will fare after one's death). Communion was assessed in relation to individuals' potential years of life to lose and illness acknowledgment. Participants were a national sample of adults (N = 203; M = 65.80 years; 66% women; 77.94% White; 48.53% college-educated) with serious and terminal cancer receiving outpatient palliative care. They narrated legacies in semistructured interviews and completed measures of illness acknowledgment. We developed a novel construct, potential years of life to lose, calculated as the difference between chronological age and national life expectancy at birth. Coders, trained to high reliability, content-analyzed legacy narratives for communion with follow-up coding for aftermath concerns. Hierarchical regression indicated that for those with more potential years of life to lose, acknowledging the severity of their illness was critical to narrating communion-rich legacies. Similarly, aftermath concerns were common in those with the most years of life to lose who were able to acknowledge the severity of their illness. Findings affirm the psychological richness of individuals' legacies in the second half of life and highlight one way they adaptively respond to the nonnormative timing of serious and terminal cancer. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Blood-based biological ageing and red cell distribution width are associated with prevalent Parkinson's disease: findings from a large Italian population cohort.

Aging clocks tag the actual underlying age of an organism and its discrepancy with chronological age and have been reported to predict incident disease risk in the general population. However, the relationship with neurodegenerative risk and in particular with Parkinson's Disease (PD) remains unclear, with few discordant findings reporting associations with both incident and prevalent PD risk. To clarify this relationship, we computed a common aging clock based on blood markers and tested the resulting discrepancy with chronological age (ΔPhenoAge) for association with both incident and prevalent PD risk. In a large Italian population cohort - the Moli-sani study (N=23,437; age ≥ 35 years; 52% women) - we carried out both Cox Proportional Hazards regressions modelling ΔPhenoAge as exposure and incident PD as outcome, and linear models testing prevalent PD as exposure and ΔPhenoAge as outcome. All models were incrementally adjusted for age, sex, education level completed and other risk/protective factors previously associated with PD risk in the same cohort (prevalent dysthyroidism, hypertension, diabetes, use of oral contraceptives, exposure to paints, daily coffee intake and cigarette smoking). No significant association between incident PD risk (209 cases, median (IQR) follow-up time 11.19 (2.03) years) and PhenoAging was observed (Hazard Ratio [95% Confidence Interval] = 0.98 [0.71; 1.37]). However, a small but significant increase of ΔPhenoAge was observed in prevalent PD cases vs healthy subjects (β (Standard Error) = 1.39 (0.70)). An analysis of each component biomarker of PhenoAge revealed a significant positive association of prevalent PD status with red cell distribution width (RDW; β (SE) = 0.46 (0.18)). All the remaining markers did not show any significant evidence of association. The reported evidence highlights systemic effects of prevalent PD status on biological aging and red cell distribution width. Further cohort and functional studies may help shedding a light on the related pathways altered at the organism level in prevalent PD, like red cells variability, inflammatory and oxidative stress mechanisms.

Are there Sensitive Periods for Skill Development in Male Adolescent Basketball Players?

Although spurts in physical capacities during adolescence are well-known, little is known about the existence of such spurts in sport-specific skill development, especially during the period of rapid growth in stature. Our aims were to examine the timing, intensity, and sequence of basketball-specific skill spurts aligned with biological [years from peak height velocity (PHV)] rather than chronological age. We then defined putative sensitive periods (windows of optimal development) for each skill aligned to the adolescent growth spurt. Altogether, 160 adolescent male basketballers, aged 11-15 years, were tested bi-annually over three consecutive years. The years from attainment of PHV were estimated and six skill tests were aligned to each year from PHV in 3-month intervals. Skill velocities were estimated using a non-smooth polynomial model. Maximal gains in slalom dribble occurred 12 months prior to PHV attainment (intensity = 0.18 m·s-1·year-1), whereas in speed shot shooting (intensity = 9.91 pts·year-1), passing (intensity = 19.13 pts·year-1), and slalom sprint (intensity = 0.19 m·s-1·year-1) these skill spurts were attained 6 months prior to PHV attainment. The mean gains in control dribble (intensity = 0.10 m·s-1·year-1) and defensive movement (intensity = 0.12 m·s-1·year-1) peaks coincided with attainment of PHV. We identified different sized windows for optimal development for each skill. Peak spurts in skill development, for most basketball skills, were attained at the same time as PHV. The multiple peaks observed within the defined windows of optimal development suggest that there is room for skill improvement even if gains might be greater earlier rather than later in practice. Our findings highlight the need to make coaches aware of where their players are relative to the attainment of PHV since different skills appear to develop differently relative to PHV. Such knowledge may help in designing more relevant training regimes that incorporate the athlete's current growth status so that skill development can be maximized.

Predicting chronological age of 14 or 18 in adolescents: integrating dental assessments with machine learning

AimAge estimation plays a critical role in personal identification, especially when determining compliance with the age of consent for adolescents. The age of consent refers to the minimum age at which an individual is legally considered capable of providing informed consent for sexual activities. The purpose of this study is to determine whether adolescents meet the age of 14 or 18 by using dental development combined with machine learning.MethodsThis study combines dental assessment and machine learning techniques to predict whether adolescents have reached the consent age of 14 or 18. Factors such as the staging of the third molar, the third molar index, and the visibility of the periodontal ligament of the second molar are evaluated.ResultsDifferences in performance metrics indicate that the posterior probabilities achieved by machine learning exceed 93% for the age of 14 and slightly lower for the age of 18.ConclusionThis study provides valuable insights for forensic identification for adolescents in personal identification, emphasizing the potential to improve the accuracy of age determination within this population by combining traditional methods with machine learning. It underscores the importance of protecting and respecting the dignity of all individuals involved.

Age estimation by volumetric analysis of teeth using cone beam computed tomography.

To evaluate the feasibility of using the pulp volume (Pv) to total volume (Tv) ratio (Pv:Tv), obtained from cone beam computed tomography (CBCT) scans of single-rooted teeth, for age estimation in a Brazilian population sample. After obtaining approval from the ethics committee, the study commenced by applying inclusion criteria to screen CBCT scans, resulting in a probability-based sample of participants aged 18years and older (ranging from 18 to 82years, with a mean age of 46.44years). A total of 517 single-rooted teeth, including maxillary central incisors (CI), mandibular canines (C), and mandibular first premolars (FP), were chosen based on excellent agreement values (> 0.9). Pv and Tv measurements were conducted using semi-automatic segmentation with ITK-SNAP 3.8 software. Statistical analysis was performed using Jamovi software, with a significance level set at 5% (α = 0.05). A strong negative correlation (r > -0.7) was observed between chronological age and the Pv:Tv ratio across all examined teeth. However, when conducting regression analysis with Pv:Tv data and chronological age as the independent variable, only the mandibular FP teeth exhibited a normal distribution. The resulting linear model demonstrated moderate predictive value (approximately 64%) in explaining the variance in chronological age, but caution should be exercised when interpreting these findings. The method of measuring individual tooth volume using CBCT to estimate chronological age via Pv:Tv has been demonstrated as effective and reproducible within the Brazilian population sample.

Meta-analysis of epigenetic aging in schizophrenia reveals multifaceted relationships with age, sex, illness duration, and polygenic risk

BackgroundThe study of biological age acceleration may help identify at-risk individuals and reduce the rising global burden of age-related diseases. Using DNA methylation (DNAm) clocks, we investigated biological aging in schizophrenia (SCZ), a mental illness that is associated with an increased prevalence of age-related disabilities and morbidities. In a whole blood DNAm sample of 1090 SCZ cases and 1206 controls across four European cohorts, we performed a meta-analysis of differential aging using three DNAm clocks (i.e., Hannum, Horvath, and Levine). To dissect how DNAm aging contributes to SCZ, we integrated information on duration of illness and SCZ polygenic risk, as well as stratified our analyses by chronological age and biological sex.ResultsWe found that blood-based DNAm aging is significantly altered in SCZ independent from duration of the illness since onset. We observed sex-specific and nonlinear age effects that differed between clocks and point to possible distinct age windows of altered aging in SCZ. Most notably, intrinsic cellular age (Horvath clock) is decelerated in SCZ cases in young adulthood, while phenotypic age (Levine clock) is accelerated in later adulthood compared to controls. Accelerated phenotypic aging was most pronounced in women with SCZ carrying a high polygenic burden with an age acceleration of + 3.82 years (CI 2.02–5.61, P = 1.1E−03). Phenotypic aging and SCZ polygenic risk contributed additively to the illness and together explained up to 14.38% of the variance in disease status.ConclusionsOur study contributes to the growing body of evidence of altered DNAm aging in SCZ and points to intrinsic age deceleration in younger adulthood and phenotypic age acceleration in later adulthood in SCZ. Since increased phenotypic age is associated with increased risk of all-cause mortality, our findings indicate that specific and identifiable patient groups are at increased mortality risk as measured by the Levine clock. Our study did not find that DNAm aging could be explained by the duration of illness of patients, but we did observe age- and sex-specific effects that warrant further investigation. Finally, our results show that combining genetic and epigenetic predictors can improve predictions of disease outcomes and may help with disease management in schizophrenia.

Sex-difference in the association between social drinking, structural brain aging and cognitive function in older individuals free of cognitive impairment.

We investigated a potential sex difference in the relationship between alcohol consumption, brain age gap and cognitive function in older adults without cognitive impairment from the population-based Mayo Clinic Study of Aging. Self-reported alcohol consumption was collected using the food-frequency questionnaire. A battery of cognitive testing assessed performance in four different domains: attention, memory, language, and visuospatial. Brain magnetic resonance imaging (MRI) was conducted using 3-T scanners (Signa; GE Healthcare). Brain age was estimated using the Brain-Age Regression Analysis and Computational Utility Software (BARACUS). We calculated the brain age gap as the difference between predicted brain age and chronological age. The sample consisted of 269 participants [55% men (n=148) and 45% women (n=121) with a mean age of 79.2 ± 4.6 and 79.5 ± 4.7 years respectively]. Women had significantly better performance compared to men in memory, (1.12 ± 0.87 vs 0.57 ± 0.89, P<0.0001) language (0.66 ± 0.8 vs 0.33 ± 0.72, P=0.0006) and attention (0.79 ± 0.87 vs 0.39 ± 0.83, P=0.0002) z-scores. Men scored higher in visuospatial skills (0.71 ± 0.91 vs 0.44 ± 0.90, P=0.016). Compared to participants who reported zero alcohol drinking (n=121), those who reported alcohol consumption over the year prior to study enrollment (n=148) scored significantly higher in all four cognitive domains [memory: F3,268=5.257, P=0.002, Language: F3,258=12.047, P<0.001, Attention: F3,260=22.036, P<0.001, and Visuospatial: F3,261=9.326, P<0.001] after correcting for age and years of education. In addition, we found a significant positive correlation between alcohol consumption and the brain age gap (P=0.03). Post hoc regression analysis for each sex with language z-score revealed a significant negative correlation between brain age gap and language z-scores in women only (P=0.008). Among older adults who report alcohol drinking, there is a positive association between higher average daily alcohol consumption and accelerated brain aging despite the fact that drinkers had better cognitive performance compared to zero drinkers. In women only, accelerated brain aging is associated with worse performance in language cognitive domain. Older adult women seem to be vulnerable to the negative effects of alcohol on brain structure and on certain cognitive functions.

Ageing as a two-phase process: theoretical framework.

Human ageing, along with the ageing of conventional model organisms, is depicted as a continuous and progressive decline of biological capabilities accompanied by an exponentially increasing mortality risk. However, not all organisms experience ageing identically and our understanding of the phenomenon is coloured by human-centric views. Ageing is multifaceted and influences a diverse range of species in varying ways. Some undergo swift declines post-reproduction, while others exhibit insubstantial changes throughout their existence. This vast array renders defining universally applicable "ageing attributes" a daunting task. It is nonetheless essential to recognize that not all ageing features are organism-specific. These common attributes have paved the way for identifying "hallmarks of ageing," processes that are intertwined with age, amplified during accelerated ageing, and manipulations of which can potentially modulate or even reverse the ageing process. Yet, a glaring observation is that individuals within a single population age at varying rates. To address this, demographers have coined the term 'frailty'. Concurrently, scientific advancements have ushered in the era of molecular clocks. These innovations enable a distinction between an individual's chronological age (time since birth) and biological age (physiological status and mortality risk). In 2011, the "Smurf" phenotype was unveiled in Drosophila, delineating an age-linked escalation in intestinal permeability that presages imminent mortality. It not only acts as a predictor of natural death but identifies individuals exhibiting traits normally described as age-related. Subsequent studies have revealed the phenotype in organisms like nematodes, zebrafish, and mice, invariably acting as a death predictor. Collectively, these findings have steered our conception of ageing towards a framework where ageing is not linear and continuous but marked by two distinct, necessary phases, discernible in vivo, courtesy of the Smurf phenotype. This framework includes a mathematical enunciation of longevity trends based on three experimentally measurable parameters. It facilitates a fresh perspective on the evolution of ageing as a function. In this article, we aim to delineate and explore the foundational principles of this innovative framework, emphasising its potential to reshape our understanding of ageing, challenge its conventional definitions, and recalibrate our comprehension of its evolutionary trajectory.

Biological Basis of Breast Cancer-Related Disparities in Precision Oncology Era.

Precision oncology is based on deep knowledge of the molecular profile of tumors, allowing for more accurate and personalized therapy for specific groups of patients who are different in disease susceptibility as well as treatment response. Thus, onco-breastomics is able to discover novel biomarkers that have been found to have racial and ethnic differences, among other types of disparities such as chronological or biological age-, sex/gender- or environmental-related ones. Usually, evidence suggests that breast cancer (BC) disparities are due to ethnicity, aging rate, socioeconomic position, environmental or chemical exposures, psycho-social stressors, comorbidities, Western lifestyle, poverty and rurality, or organizational and health care system factors or access. The aim of this review was to deepen the understanding of BC-related disparities, mainly from a biomedical perspective, which includes genomic-based differences, disparities in breast tumor biology and developmental biology, differences in breast tumors' immune and metabolic landscapes, ecological factors involved in these disparities as well as microbiomics- and metagenomics-based disparities in BC. We can conclude that onco-breastomics, in principle, based on genomics, proteomics, epigenomics, hormonomics, metabolomics and exposomics data, is able to characterize the multiple biological processes and molecular pathways involved in BC disparities, clarifying the differences in incidence, mortality and treatment response for different groups of BC patients.

The relationship between childhood maltreatment and suicidal ideation among adults

Childhood maltreatment is the potential background under the umbrella of adverse childhood experience (ACE). The history of childhood trauma as well as child abuse can be affected lifelong through their adulthood stages. In addition, suicide is the most global issue among young generation. The present focused study determined to get the essence of the direction into the relationship between childhood maltreatment and suicidal ideation among adults in Bangladesh context. The cross sectional survey design was adopted for data collection purpose among 160 adults having age ranges between 18 to 40 years. Correlation analysis findings recommended that there is a strong association between childhood maltreatment and suicidal ideation (Spearman’s rank order correlation coefficient, r = 0.80, p &lt; 0.01) and (Kendall’s tau-b rank order correlation coefficient, r = 0.62, p&lt; 0.01). Furthermore, controlling with another aspect of chronological age, socio-economic status, profession and mental health service also indicating a moderate strong relationship between childhood maltreatment and suicidal ideation (Partial correlation coefficient, r (160) = 0.62, p &lt; 0.01), (Partial correlation coefficient, r (160) = 0.63, p &lt; 0.01), (Partial correlation coefficient, r (160) = 0.60, p &lt; 0.01) and (Partial correlation coefficient, r (160) = 0.68, p &lt; 0.01). The present research is the resource for mental health practitioner, academia, researcher, professional child psychologist, scholar, social worker etc who are willing to influence and contribute in mental health areas. Dhaka Univ. J. Biol. Sci. 33(1): 47-55, 2024 (January)

Incredible years parenting program buffers prospective association between parent-reported harsh parenting and epigenetic age deceleration in children with externalizing behavior

Harsh parenting has been shown to increase the risk of physical and mental health problems in later life. To improve our understanding of these risks and how they can be mitigated, we investigated associations of harsh parenting with a clinically relevant biomarker, epigenetic age deviation (EAD), using data from a randomized-control trial of the Incredible Years (IY) parenting program. This study included 281 children aged 4–8 years who were screened for heightened externalizing behavior and whose parents were randomly allocated to either IY or care-as-usual (CAU). Parents reported on their own parenting practices and their child’s externalizing behavior at baseline and at a follow-up assessment approximately three years later. Epigenetic age, based on the Pediatric Buccal Epigenetic (PedBE) clock, was estimated from child DNA methylation derived from saliva collected at the follow-up assessment. PedBE clock estimates were regressed on chronological age as a measure of EAD. Moderation analyses using multiple regression revealed that harsher parenting at baseline predicted epigenetic age deceleration in children that received CAU (b = −.21, 95% CI[-0.37, −0.05]), but no association was found in children whose parents were allocated to IY (b = −.02, 95% CI [-0.13, 0.19]). These results highlight a prospective association between harsh parenting and children’s EAD and indicate a potential ameliorating effect of preventive intervention. Future work is needed to replicate these findings and understand individual differences in children’s responses to harsh parenting in relation to epigenetic aging.

The AccelerAge framework: a new statistical approach to predict biological age based on time-to-event data.

Aging is a multifaceted and intricate physiological process characterized by a gradual decline in functional capacity, leading to increased susceptibility to diseases and mortality. While chronological age serves as a strong risk factor for age-related health conditions, considerable heterogeneity exists in the aging trajectories of individuals, suggesting that biological age may provide a more nuanced understanding of the aging process. However, the concept of biological age lacks a clear operationalization, leading to the development of various biological age predictors without a solid statistical foundation. This paper addresses these limitations by proposing a comprehensive operationalization of biological age, introducing the "AccelerAge" framework for predicting biological age, and introducing previously underutilized evaluation measures for assessing the performance of biological age predictors. The AccelerAge framework, based on Accelerated Failure Time (AFT) models, directly models the effect of candidate predictors of aging on an individual's survival time, aligning with the prevalent metaphor of aging as a clock. We compare predictors based on the AccelerAge framework to a predictor based on the GrimAge predictor, which is considered one of the best-performing biological age predictors, using simulated data as well as data from the UK Biobank and the Leiden Longevity Study. Our approach seeks to establish a robust statistical foundation for biological age clocks, enabling a more accurate and interpretable assessment of an individual's aging status.