The Add Health Parent Study: A Biosocial Resource for the Study of Multigenerational Racial/Ethnic Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias.

Background: Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD) have increased in prevalence. Objective: This article describes the Add Health Parent Study (AHPS) Phase 2, a study of social, behavioral, and biological factors influencing healthy aging and risk for AD/ADRD, in a national sample of adults aged 58-90. Methods: Sample members are parents of the National Longitudinal Study of Adolescent to Adult Health (Add Health) cohort, initially interviewed in Add Health in midlife (1994-95). AHPS Phase 1 (2015-17) collected longitudinal data on a random subsample of parents and their spouse/partners, who were mostly Non-Hispanic (NH) White. AHPS Phase 2 will collect the same longitudinal socio-behavioral, and health survey data on all remaining NH Black and Hispanic parents (Black and Hispanic Supplement, BHS). Additionally, Phase 2 will collect cognitive and DNA data from AHPS Phase 1 and BHS sample parents and their current spouse/partners. Results: Funded by the National Institute on Aging, recruitment will occur between June 2025 and May 2026, producing an expected total AHPS sample of 5506 parents and their spouse/partners. Conclusions: The AHPS will be the first longitudinal cohort study powered to address multigenerational racial/ethnic disparities in AD/ADRD risk and protective factors across race/ethnic groups and socioeconomic strata.

Socioeconomic status across the early life course predicts gene expression signatures of disease and senescence.

BACKGROUND: Socioeconomic status (SES) is associated with many chronic diseases, indicators of senescence and mortality. However, the changing salience of SES in the prediction of adult health is not well understood. Using mRNA-seq abundance data from wave V of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examine the extent to which SES across the early life course is related to gene expression-based signatures for chronic diseases, senescence and inflammation in the late 30s. METHODS: We use Bayesian methods to identify the most likely model of life course epidemiology (critical, sensitive and accumulation models) that characterises the changing importance of parental SES and SES during young (ages 27-30) and mid-adulthood (ages 36-39) in the prediction of the signatures. RESULTS: For most signatures, SES is an important predictor in all periods, although parental SES or SES during young adulthood are often the most predictive. For three signatures (components of diabetes, inflammation and ageing), critical period models involving the exclusive salience of SES in young adulthood (for diabetes) or parental SES (for inflammation and ageing) are most probable. The observed associations are likely mediated by body mass index. CONCLUSION: Models of life course patterns of SES may inform efforts to identify age-specific mechanisms by which SES is associated with health at different points in life and they also suggest an enhanced approach to prediction models that recognise the changing salience of risk factors.

Sociodemographic and Lifestyle Factors and Epigenetic Aging in US Young Adults: NIMHD Social Epigenomics Program.

Importance: Epigenetic clocks represent molecular evidence of disease risk and aging processes and have been used to identify how social and lifestyle characteristics are associated with accelerated biological aging. However, most research is based on samples of older adults who already have measurable chronic disease. Objective: To investigate whether and how sociodemographic and lifestyle characteristics are associated with biological aging in a younger adult sample across a wide array of epigenetic clock measures. Design, Setting, and Participants: This cohort study was conducted using data from the National Longitudinal Study of Adolescent to Adult Health, a US representative cohort of adolescents in grades 7 to 12 in 1994 followed up for 25 years to 2018 over 5 interview waves. Participants who provided blood samples at wave V (2016-2018) were analyzed, with samples tested for DNA methylation (DNAm) in 2021 to 2024. Data were analyzed from February 2023 to May 2024. Exposure: Sociodemographic (sex, race and ethnicity, immigrant status, socioeconomic status, and geographic location) and lifestyle (obesity status by body mass index [BMI] in categories of reference range or underweight [<25], overweight [25 to <30], obesity [30 to <40], and severe obesity [≥40]; exercise level; tobacco use; and alcohol use) characteristics were assessed. Main Outcome and Measure: Biological aging assessed from banked blood DNAm using 16 epigenetic clocks. Results: Data were analyzed from 4237 participants (mean [SD] age, 38.4 [2.0] years; percentage [SE], 51.3% [0.01] female and 48.7% [0.01] male; percentage [SE], 2.7% [<0.01] Asian or Pacific Islander, 16.7% [0.02] Black, 8.7% [0.01] Hispanic, and 71.0% [0.03] White). Sociodemographic and lifestyle factors were more often associated with biological aging in clocks trained to estimate morbidity and mortality (eg, PhenoAge, GrimAge, and DunedinPACE) than clocks trained to estimate chronological age (eg, Horvath). For example, the ß for an annual income less than $25 000 vs $100 000 or more was 1.99 years (95% CI, 0.45 to 3.52 years) for PhenoAgeAA, 1.70 years (95% CI, 0.68 to 2.72 years) for GrimAgeAA, 0.33 SD (95% CI, 0.17 to 0.48 SD) for DunedinPACE, and -0.17 years (95% CI, -1.08 to 0.74 years) for Horvath1AA. Lower education, lower income, higher obesity levels, no exercise, and tobacco use were associated with faster biological aging across several clocks; associations with GrimAge were particularly robust (no college vs college or higher: ß = 2.63 years; 95% CI, 1.67-3.58 years; lower vs higher annual income: <$25 000 vs ≥$100 000: ß = 1.70 years; 95% CI, 0.68-2.72 years; severe obesity vs no obesity: ß = 1.57 years; 95% CI, 0.51-2.63 years; no weekly exercise vs ≥5 bouts/week: ß = 1.33 years; 95% CI, 0.67-1.99 years; current vs no smoking: ß = 7.16 years; 95% CI, 6.25-8.07 years). Conclusions and Relevance: This study found that important social and lifestyle factors were associated with biological aging in a nationally representative cohort of younger adults. These findings suggest that molecular processes underlying disease risk may be identified in adults entering midlife before disease is manifest and inform interventions aimed at reducing social inequalities in heathy aging and longevity.

Familial Loss of a Loved One and Biological Aging: NIMHD Social Epigenomics Program.

Importance: The link between familial loss of a loved one and long-term health decline is complex and not fully understood. Objective: To test associations of losing a parent, sibling, child, or partner or spouse with accelerated biological aging. Design, Setting, and Participants: Data from the National Longitudinal Study of Adolescent to Adult Health, a US population-based longitudinal cohort study, were analyzed. Participants were enrolled from 1994 to 1995 for wave 1, while in grades 7 to 12, and followed up through wave 5 in 2018. The study analyzed participant reports of loss collected at each wave from 1 to 5 over 24 years and used a banked wave 5 blood sample for subsequent DNA methylation testing and epigenetic clock calculation from 2018 to 2024. Data were analyzed from January 2022 to July 2024. Exposure: Loss of biological parents or parental figures, partners or spouses, siblings, or children at waves 1 to 3 or during childhood, adolescence (aged <18 years), or adulthood at wave 4 to wave 5 (aged 18-43 years). Main Outcomes and Measures: Biological aging assessed from blood DNA methylation using the Horvath, PhenoAge, GrimAge, and DunedinPACE epigenetic clocks at wave 5. Results: Data from 3963 participants were analyzed, with a weighted mean (range) age of 38.36 (36.78-39.78) years at wave 5; 2370 (50.3%) were male, 720 (15.97%) were Black, 400 (8.18%) were Hispanic, and 2642 (72.53%) were White. Nearly 40% of participants experienced loss by wave 5 when they were aged 33 to 43 years, and participants who were Black (379 participants [56.67%]), Hispanic (152 participants [41.38%]), and American Indian (18 participants [56.08%]) experienced a greater proportion of losses compared with White participants (884 participants [34.09%]). Those who experienced 2 or more losses tended to have older biological ages for several of the clocks (PhenoAge ß = 0.15; 95% CI, 0.02 to 0.28; GrimAge ß = 0.27; 95% CI, 0.09 to 0.45; DunedinPACE ß = 0.22; 95% CI, 0.10 to 0.34) compared with those with no losses. In contrast, there were no associations with 2 or more losses for the Horvath clock (ß = -0.08; 95% CI, -0.23 to 0.06). Conclusions and Relevance: This study reveals associations between various measures of loss experienced from childhood to adulthood and biological aging in a diverse sample of the US population. These findings underscore the potentially enduring impact of loss on biological aging even before middle age and may contribute to understanding racial and ethnic disparities in health and mortality.

Pathways between a polygenic index for education and years of completed schooling: the presentation of self and assessment of others.

Polygenic scores (PGS) are broadly misconstrued as reflecting direct causal genetic effects on their respective phenotypes. While this assumption might be accurate for some anthropometric traits like height, more complex traits such as educational attainment show very large indirect effects that stem from many sources. One unexplored source of confounding is the possibility of evocative gene-environment correlation (rGE). Using data from the National Longitudinal Study of Adolescent to Adult Health, we examine the relationship between interviewer assessments of respondent appearance as a function of education PGS. We show a bivariate association between educational PGS and 1) perceived grooming, 2) physical attractiveness, and 3) personality. We then regress years of education on the educational PGS and show that very little of the association (~1-2%) is mediated by attractiveness or personality but 7.5% of the baseline association is confounded with how others may perceive grooming. These results highlight the importance of social-behavioral mechanisms that may link specific genotypes to successful transitions through high school and college and continue to bridge research from the social and biological sciences.

The patient-reported wearing-off phenomenon with monoclonal antibody treatments for multiple sclerosis.

Background: Many patients report a wearing-off phenomenon with monoclonal antibody treatment for multiple sclerosis in which perceived benefits wear off before the next dose is due. Objectives: To determine prevalence of the wearing-off effect, symptoms experienced, impact on treatment satisfaction, and associated patient characteristics. Methods: Patients receiving natalizumab, ocrelizumab, ofatumumab, or rituximab at a tertiary multiple sclerosis center were invited to take an online survey interrogating their monoclonal antibody experience. Additional history and patient characteristic data were collected. Logistic regression was used to determine if patient characteristics predicted the wearing-off effect and linear regression to evaluate the impact of the wearing-off effect on treatment satisfaction. The models were adjusted for age, disease duration, race, sex, body mass index, education, and depression as measured by the Patient Health Questionnaire-9. Results: We received 258 qualifying responses and 141 (54.7%) patients reported the wearing-off phenomenon. The most common symptom was fatigue (47.7%). Higher Patient Health Questionnaire-9 scores were significantly associated with the wearing-off phenomenon (OR = 1.02, p = 0.005). The wearing-off effect (ß = -0.52, p = 0.04) and higher Patient Health Questionnaire-9 (ß = -0.09, p < 0.01) scores were associated with significantly reduced treatment satisfaction. Conclusion: The wearing-off phenomenon is common, associated with depression, and reduces treatment satisfaction. Research addressing mitigation strategies is needed.

Institutional Context Shapes the Physical Health of College Graduates Differently for U.S. White, Black, and Hispanic Adults.

Greater educational attainment is generally associated with healthier and longer lives. However, important heterogeneity in who benefits from educational attainment, how much, and why remains underexplored. In particular, in the United States, the physical health returns to educational attainment are not as large for minoritized racial and ethnic groups compared with individuals racialized as White. Yet, our current understanding of ethnoracial differences in educational health disparities is limited by an almost exclusive focus on the quantity of education attained without sufficient attention to heterogeneity within educational attainment categories, such as different institution types among college graduates. Using biomarker data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we test whether the physical health of college graduates in early adulthood (aged 24-32) varies by institution type and for White, Black, and Hispanic adults. In considering the role of the college context, we conceptualize postsecondary institutions as horizontally stratified and racialized institutional spaces with different implications for the health of their graduates. Finally, we quantify the role of differential attendance at and returns to postsecondary institution type in shaping ethnoracialized health disparities among college graduates in early adulthood.

The fortunes and misfortunes of social life across the life course: A new era of research from field, laboratory and comparative studies.

Social gradients in health and aging have been reported in studies across many human populations, and - as the papers included in this special collection highlight - also occur across species. This paper serves as a general introduction to the special collection of Neuroscience and Biobehavioral Reviews entitled "Social dimensions of health and aging: population studies, preclinical research, and comparative research using animal models". Authors of the fourteen reviews are primarily members of a National Institute of Aging-supported High Priority Research Network on "Animal Models for the Social Dimensions of Health and Aging". The collection is introduced by a foreword, commentaries, and opinion pieces by leading experts in related fields. The fourteen reviews are divided into four sections: Section 1: Biodemography and life course studies; Section 2: Social behavior and healthy aging in nonhuman primates; Section 3: Social factors, stress, and hallmarks of aging; Section 4: Neuroscience and social behavior.

The Sociodemographic and Lifestyle Correlates of Epigenetic Aging in a Nationally Representative U.S. Study of Younger Adults.

Importance: Epigenetic clocks represent molecular evidence of disease risk and aging processes and have been used to identify how social and lifestyle characteristics are associated with accelerated biological aging. However, most of this research is based on older adult samples who already have measurable chronic disease. Objective: To investigate whether and how sociodemographic and lifestyle characteristics are related to biological aging in a younger adult sample across a wide array of epigenetic clock measures. Design: Nationally representative prospective cohort study. Setting: United States (U.S.). Participants: Data come from the National Longitudinal Study of Adolescent to Adult Health, a national cohort of adolescents in grades 7-12 in U.S. in 1994 followed for 25 years over five interview waves. Our analytic sample includes participants followed-up through Wave V in 2016-18 who provided blood samples for DNA methylation (DNAm) testing (n=4237) at Wave V. Exposure: Sociodemographic (sex, race/ethnicity, immigrant status, socioeconomic status, geographic location) and lifestyle (obesity status, exercise, tobacco, and alcohol use) characteristics. Main Outcome: Biological aging assessed from blood DNAm using 16 epigenetic clocks when the cohort was aged 33-44 in Wave V. Results: While there is considerable variation in the mean and distribution of epigenetic clock estimates and in the correlations among the clocks, we found sociodemographic and lifestyle factors are more often associated with biological aging in clocks trained to predict current or dynamic phenotypes (e.g., PhenoAge, GrimAge and DunedinPACE) as opposed to clocks trained to predict chronological age alone (e.g., Horvath). Consistent and strong associations of faster biological aging were found for those with lower levels of education and income, and those with severe obesity, no weekly exercise, and tobacco use. Conclusions and Relevance: Our study found important social and lifestyle factors associated with biological aging in a nationally representative cohort of younger-aged adults. These findings indicate that molecular processes underlying disease risk can be identified in adults entering midlife before disease is manifest and represent useful targets for interventions to reduce social inequalities in heathy aging and longevity. Key Points: Question: Are epigenetic clocks, measures of biological aging developed mainly on older-adult samples, meaningful for younger adults and associated with sociodemographic and lifestyle characteristics in expected patterns found in prior aging research?Findings: Sociodemographic and lifestyle factors were associated with biological aging in clocks trained to predict morbidity and mortality showing accelerated aging among those with lower levels of education and income, and those with severe obesity, no weekly exercise, and tobacco use.Meaning: Age-related molecular processes can be identified in younger-aged adults before disease manifests and represent potential interventions to reduce social inequalities in heathy aging and longevity.

Sociodemographic patterns in biomarkers of aging in the Add Health cohort.

Biomarkers in population health research serve as indicators of incremental physiological deterioration and contribute to our understanding of mechanisms through which social disparities in health unfold over time. Yet, few population-based studies incorporate biomarkers of aging in early midlife, when disease risks may emerge and progress across the life course. We describe the distributions of several biomarkers of inflammation and neurodegeneration and their variation by sociodemographic characteristics using blood samples collected during Wave V of the National Longitudinal Study of Adolescent to Adult Health (ages 33-44 years). Higher mean levels of inflammatory and neurodegenerative biomarkers were associated with greater socioeconomic disadvantage. For example, the neurodegenerative markers, Neurofilament Light Chain and total Tau proteins were higher among lower income groups, though the relationship was not statistically significant. Similarly, proinflammatory marker Tumor Necrosis Factor-α (TNF-α) levels were higher among those with lower education. Significant differences in the mean levels of other proinflammatory markers were observed by race/ethnicity, sex, census region, BMI, and smoking status. These descriptive findings indicate that disparities in biomarkers associated with aging are already evident among young adults in their 30s and attention should focus on age-related disease risk earlier in the life course.

Socioeconomic inequalities in early adulthood disrupt the immune transcriptomic landscape via upstream regulators.

Disparities in socio-economic status (SES) predict many immune system-related diseases, and previous research documents relationships between SES and the immune cell transcriptome. Drawing on a bioinformatically-informed network approach, we situate these findings in a broader molecular framework by examining the upstream regulators of SES-associated transcriptional alterations. Data come from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a nationally representative sample of 4543 adults in the United States. Results reveal a network-of differentially expressed genes, transcription factors, and protein neighbors of transcription factors-that shows widespread SES-related dysregulation of the immune system. Mediational models suggest that body mass index (BMI) plays a key role in accounting for many of these associations. Overall, the results reveal the central role of upstream regulators in socioeconomic differences in the molecular basis of immunity, which propagate to increase risk of chronic health conditions in later-life.

A Bayesian functional approach to test models of life course epidemiology over continuous time.

BACKGROUND: Life course epidemiology examines associations between repeated measures of risk and health outcomes across different phases of life. Empirical research, however, is often based on discrete-time models that assume that sporadic measurement occasions fully capture underlying long-term continuous processes of risk. METHODS: We propose (i) the functional relevant life course model (fRLM), which treats repeated, discrete measures of risk as unobserved continuous processes, and (ii) a testing procedure to assign probabilities that the data correspond to conceptual models of life course epidemiology (critical period, sensitive period and accumulation models). The performance of the fRLM is evaluated with simulations, and the approach is illustrated with empirical applications relating body mass index (BMI) to mRNA-seq signatures of chronic kidney disease, inflammation and breast cancer. RESULTS: Simulations reveal that fRLM identifies the correct life course model with three to five repeated assessments of risk and 400 subjects. The empirical examples reveal that chronic kidney disease reflects a critical period process and inflammation and breast cancer likely reflect sensitive period mechanisms. CONCLUSIONS: The proposed fRLM treats repeated measures of risk as continuous processes and, under realistic data scenarios, the method provides accurate probabilities that the data correspond to commonly studied models of life course epidemiology. fRLM is implemented with publicly-available software.

An Early and Unequal Decline: Life Course Trajectories of Cognitive Aging in the United States.

Objectives: Cognitive aging is a lifelong process with implications for Alzheimer's disease and dementia. This study aims to fill major gaps in research on the natural history of and social disparities in aging-related cognitive decline over the life span. Methods: We conducted integrative data analysis of four large U.S. population-based longitudinal studies of individuals aged 12 to 105 followed over two decades and modeled age trajectories of cognitive function in multiple domains. Results: We found evidence for the onset of cognitive decline in the 4th decade of life, varying gender differences with age, and persistent disadvantage among non-Hispanic Blacks, Hispanics, and those without college education. We further found improvement in cognitive function across 20th century birth cohorts but widening social inequalities in more recent cohorts. Discussion: These findings advance an understanding of early life origins of dementia risk and invite future research on strategies for promoting cognitive health for all Americans.

Perioperative Management and Outcomes in Patients With Autism Spectrum Disorder: A Retrospective Cohort Study.

BACKGROUND: Autism spectrum disorder (ASD) is a neurocognitive disorder characterized by impairments in communication and socialization. There are little data comparing the differences in perioperative outcomes in children with and without ASD. We hypothesized that children with ASD would have higher postoperative pain scores than those without ASD. METHODS: Pediatric patients undergoing ambulatory tonsillectomy/adenoidectomy, ophthalmological surgery, general surgery, and urologic procedures between 2016 and 2021 were included in this retrospective cohort study. ASD patients, defined by International Classification of Diseases-9/10 codes, were compared to controls utilizing inverse probability of treatment weighting based on surgical category/duration, age, sex, race and ethnicity, anesthetizing location, American Society of Anesthesiology physical status, intraoperative opioid dose, and intraoperative dexmedetomidine dose. The primary outcome was the maximum postanesthesia care unit (PACU) pain score, and secondary outcomes included premedication administration, behavior at induction, PACU opioid administration, postoperative vomiting, emergence delirium, and PACU length of stay. RESULTS: Three hundred thirty-five children with ASD and 11,551 non-ASD controls were included. Maximum PACU pain scores in the ASD group were not significantly higher than controls (median, 5; interquartile range [IQR], 0-8; ASD versus median, 5; IQR, 0-8 controls; median difference [95% confidence interval {CI}] of 0 [-1.1 to 1.1]; P = .66). There was no significant difference in the use of premedication (96% ASD versus 95% controls; odds ratio [OR], 1.5; [95% CI, 0.9-2.7]; P = .12), but the ASD cohort had significantly higher odds of receiving an intranasal premedication (4.2% ASD versus 1.2% controls; OR, 3.5 [95% CI, 1.8-6.8]; P < .001) and received ketamine significantly more frequently (0.3% ASD versus <0.1% controls; P < .001). Children with ASD were more likely to have parental (4.9% ASD versus 1.0% controls; OR, 5 [95% CI, 2.1-12]; P < .001) and child life specialist (1.3% ASD versus 0.1% controls; OR, 9.9 [95% CI, 2.3-43]; P < .001) presence at induction, but were more likely to have a difficult induction (11% ASD versus 3.4% controls; OR, 3.42 [95% CI, 1.7-6.7]; P < .001). There were no significant differences in postoperative opioid administration, emergence delirium, vomiting, or PACU length of stay between cohorts. CONCLUSIONS: We found no difference in maximum PACU pain scores in children with ASD compared to a similarly weighted cohort without ASD. Children with ASD had higher odds of a difficult induction despite similar rates of premedication administration, and significantly higher parental and child life specialist presence at induction. These findings highlight the need for future research to develop evidence-based interventions to optimize the perioperative care of this population.

Patterns and Life Course Determinants of Black-White Disparities in Biological Age Acceleration: A Decomposition Analysis.

Despite the prominence of the weathering hypothesis as a mechanism underlying racialized inequities in morbidity and mortality, the life course social and economic determinants of Black-White disparities in biological aging remain inadequately understood. This study uses data from the Health and Retirement Study (n = 6,782), multivariable regression, and Kitagawa-Blinder-Oaxaca decomposition to assess Black-White disparities across three measures of biological aging: PhenoAge, Klemera-Doubal biological age, and homeostatic dysregulation. It also examines the contributions of racial differences in life course socioeconomic and stress exposures and vulnerability to those exposures to Black-White disparities in biological aging. Across the outcomes, Black individuals exhibited accelerated biological aging relative to White individuals. Decomposition analyses showed that racial differences in life course socioeconomic exposures accounted for roughly 27% to 55% of the racial disparities across the biological aging measures, and racial disparities in psychosocial stress exposure explained 7% to 11%. We found less evidence that heterogeneity in the associations between social exposures and biological aging by race contributed substantially to Black-White disparities in biological aging. Our findings offer new evidence of the role of life course social exposures in generating disparities in biological aging, with implications for understanding age patterns of morbidity and mortality risks.

The acculturation gap of parent-child relationships in immigrant families: A national study.

Objective: We examined the acculturation processes involving intergenerational consonance and dissonance in parent-child relationships in U.S. immigrant families. Background: This study is important because we lack national studies that examine the association between acculturation processes and intergenerational relationships among diverse racial/ethnic groups in immigrant families. Method: Using national data from Add Health with diverse race/ethnicity, we measured acculturation levels by immigrant generation, age of arrival, and length of time. Intergenerational consonance (the degree to which children and parents share the same values and activities) was measured by family cohesion and sharing meals (specifically dinners) with parents. Intergenerational dissonance (the degree to which parents and children differ in expected norms and parents lose authority over their children) was measured by parent-child conflict and parental control. Ordinary least square, binary logistic, ordered logistic, and Poisson regressions were conducted depending on the nature of the four dependent variables. Results: We found robust evidence that adolescents of the second immigrant generation acculturate more rapidly than those of the first generation and their immigrant parents creating a "gap" in intergenerational relationships. Thus, second-generation adolescents experience lower levels of family cohesion, less frequency of sharing weekly dinners with parents, less parental control of adolescents' activities, and more serious arguments about their behaviors with their parents than their first-generation counterparts. Conclusion: This is the new evidence that is based on national data, across multiple measures of intergenerational relationships, and holds for diverse racial and ethnic groups. Implications: The findings underscore the importance of developing culturally informed interventions supporting healthy parent-child relationships in immigrant families.

Socioeconomic inequalities in young adulthood disrupt the immune transcriptomic landscape via upstream regulators.

Disparities in socio-economic status (SES) predict many immune system-related diseases, and previous research documents relationships between SES and the immune cell transcriptome. Drawing on a bioinformatically-informed network approach, we situate these findings in a broader molecular framework by examining the upstream regulators of SES-associated transcriptional alterations. Data come from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a nationally representative sample of 4,543 adults in the United States. Results reveal a network-of differentially-expressed genes, transcription factors, and protein neighbors of transcription factors- that shows widespread SES-related dysregulation of the immune system. Mediational models suggest that body mass index plays a key role in accounting for many of these associations. Overall, the results reveal the central role of upstream regulators in socioeconomic differences in the molecular basis of immunity, which propagate to increase risk of chronic health conditions in later-life.

Genetic Variants Associated With Hidradenitis Suppurativa.

Importance: Hidradenitis suppurativa (HS) is a common and severely morbid chronic inflammatory skin disease that is reported to be highly heritable. However, the genetic understanding of HS is insufficient, and limited genome-wide association studies (GWASs) have been performed for HS, which have not identified significant risk loci. Objective: To identify genetic variants associated with HS and to shed light on the underlying genes and genetic mechanisms. Design, Setting, and Participants: This genetic association study recruited 753 patients with HS in the HS Program for Research and Care Excellence (HS ProCARE) at the University of North Carolina Department of Dermatology from August 2018 to July 2021. A GWAS was performed for 720 patients (after quality control) with controls from the Add Health study and then meta-analyzed with 2 large biobanks, UK Biobank (247 cases) and FinnGen (673 cases). Variants at 3 loci were tested for replication in the BioVU biobank (290 cases). Data analysis was performed from September 2021 to December 2022. Main Outcomes and Measures: Main outcome measures are loci identified, with association of P < 1 × 10-8 considered significant. Results: A total of 753 patients were recruited, with 720 included in the analysis. Mean (SD) age at symptom onset was 20.3 (10.57) years and at enrollment was 35.3 (13.52) years; 360 (50.0%) patients were Black, and 575 (79.7%) were female. In a meta-analysis of the 4 studies, 2 HS-associated loci were identified and replicated, with lead variants rs10512572 (P = 2.3 × 10-11) and rs17090189 (P = 2.1 × 10-8) near the SOX9 and KLF5 genes, respectively. Variants at these loci are located in enhancer regulatory elements detected in skin tissue. Conclusions and Relevance: In this genetic association study, common variants associated with HS located near the SOX9 and KLF5 genes were associated with risk of HS. These or other nearby genes may be associated with genetic risk of disease and the development of clinical features, such as cysts, comedones, and inflammatory tunnels, that are unique to HS. New insights into disease pathogenesis related to these genes may help predict disease progression and novel treatment approaches in the future.

Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood.

Diverse manifestations of biological aging often reflect disparities in socioeconomic status (SES). In this paper, we examine associations between indicators of SES and an mRNA-based aging signature during young adulthood, before clinical indications of aging are common. We use data from wave V (2016-2018) of the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study of adults aged 33-43 years, with transcriptomic data from a subset of 2,491 participants. Biological aging is measured using 1) a composite transcriptomic aging signature previously identified by Peters et al.'s out-of-sample meta-analysis (Nat Commun. 2015;6:8570) and 2) 9 subsets that represent functional pathways of coexpressed genes. SES refers to income, education, occupation, subjective social status, and a composite measure combining these 4 dimensions. We examine hypothesized mechanisms through which SES could affect aging: body mass index, smoking, health insurance status, difficulty paying bills, and psychosocial stress. We find that SES-especially the composite measure and income-is associated with transcriptomic aging and immune, mitochondrial, ribosomal, lysosomal, and proteomal pathways. Counterfactual mediational models suggest that the mediators partially account for these associations. The results thus reveal that numerous biological pathways associated with aging are already linked to SES in young adulthood.