Sleep-disordered breathing in children and adults with intellectual disability: mind the gap!

BACKGROUND: In adults and children with intellectual disability (ID), sleep -disordered breathing (SDB) is thought to be common. However, large epidemiological studies are lacking, and there are few studies on optimal methods of investigation and even fewer randomised, controlled intervention trials of treatment. METHOD: Peer-reviewed publications from various databases were examined in line with search terms relevant to ID and SDB spanning the years 200-2024. RESULTS: Findings suggest that, due to comorbid conditions, children and adults with ID may experience both an increased risk of SDB, as well as lower frequency of diagnosis. SDB can compromise the emotional, physical and mental health of individuals with ID. Appropriate treatment when tolerated leads to an improvement in health and well-being and several studies emphasized the importance of consistent follow-up of people with ID - something that is not universally occurring during childhood, in the transition to adulthood and during adulthood itself. As the most frequently occurring form of ID worldwide, we use Down syndrome as a specific example of how diagnosing and treating SDB can lead to improved outcomes. CONCLUSIONS: This review highlights the importance of identifying SDB in this heterogenous population, recognising the multi-faceted, deleterious consequences of untreated SDB in people with ID, and presents some strategies that can be harnessed to improve diagnosis and management. Until further ID-specific research is available, we urge flexibility in the approach to people with ID and SDB based in guidelines and standard practice developed for the typically developing population.

CountASAP: A Lightweight, Easy to Use Python Package for Processing ASAPseq Data.

Declining sequencing costs coupled with the increasing availability of easy-to-use kits for the isolation of DNA and RNA transcripts from single cells have driven a rapid proliferation of studies centered around genomic and transcriptomic data. Simultaneously, a wealth of new techniques have been developed that utilize single cell technologies to interrogate a broad range of cell-biological processes. One recently developed technique, transposase-accessible chromatin with sequencing (ATAC) with select antigen profiling by sequencing (ASAPseq), provides a combination of chromatin accessibility assessments with measurements of cell-surface marker expression levels. While software exists for the characterization of these datasets, there currently exists no tool explicitly designed to reformat ASAP surface marker FASTQ data into a count matrix which can then be used for these downstream analyses. To address this, we created CountASAP, an easy-to-use Python package purposefully designed to transform FASTQ files from ASAP experiments into count matrices compatible with commonly-used downstream bioinformatic analysis packages. CountASAP takes advantage of the independence of the relevant data structures to perform fully parallelized matches of each sequenced read to user-supplied input ASAP oligos and unique cell-identifier sequences.

Bayesian hierarchical profile regression for binary covariates.

Dysphagia, a common result of other medical conditions, is caused by malfunctions in swallowing physiology resulting in difficulty eating and drinking. The Modified Barium Swallow Study (MBSS), the most commonly used diagnostic tool for evaluating dysphagia, can be assessed using the Modified Barium Swallow Impairment Profile (MBSImP™). The MBSImP assessment tool consists of a hierarchical grouped data structure with multiple domains, a set of components within each domain which characterize specific swallowing physiologies, and a set of tasks scored on a discrete scale within each component. We lack sophisticated approaches to extract patterns of physiologic swallowing impairment from the MBSImP task scores within a component while still recognizing the nested structure of components within a domain. We propose a Bayesian hierarchical profile regression model, which uses a Bayesian profile regression model in conjunction with a hierarchical Dirichlet process mixture model to (1) cluster subjects into impairment profile patterns while respecting the hierarchical grouped data structure of the MBSImP, and (2) simultaneously determine associations between latent profile cluster membership for all components and the outcome of dysphagia severity. We apply our approach to a cohort of patients referred for an MBSS and assessed using the MBSImP. Our research results can be used to inform appropriate intervention strategies, and provide tools for clinicians to make better multidimensional management and treatment decisions for patients with dysphagia.

Results from the Delivery of a Community Health Worker Training to Advance Competencies in Cancer Genomics.

INTRODUCTION: Less than half of eligible Black women are assessed for genetic risk and only 28% engage in recommended HBOC risk-reducing interventions. CHWs are trusted members of the community that work as a liaison between health systems and the community to improve access to services and support cancer prevention efforts, though they are an overlooked to support genetic risk assessment. To address the need and training gaps for CHWs we developed and assessed an online training program called KEEP IT (Keeping Each other Engaged Program via IT). METHODS: The curriculum and modules were developed through engaging a panel of experts in a three-round Delphi process. The process led to creation of 10 modules for the training. Recruitment focused on CHWs who worked in clinical settings or groups providing outreach or health services to Black women. Measures of the training were guided by the RE-AIM framework to evaluate the course and its effectiveness. RESULTS: 46 individuals expressed interest in the training after recruitment. 38 individuals were eligible for the training and 26 completed the course. We found improvements in knowledge and genomics competencies immediately post-course, but the majority of these improvements were not sustained at three-months follow up. The training was highly rated for its relevance to CHW work and overall delivery. Top rated sessions included Hereditary Breast and Ovarian Cancer and Family History and Family History Collection. On average, participants reported discussing HBOC with 17 individuals at three-months follow-up. DISCUSSION: Championing a diverse cancer and genomics workforce can help address the goals of the National Cancer Plan to improve early detection and health equity. Through this training, CHWs gained critical cancer and genomics knowledge that was then applied to their primary roles.

Factors Associated with Head and Neck Cancer Postoperative Radiotherapy Delays: A Systematic Review and Meta-analysis.

OBJECTIVE: Initiating postoperative radiotherapy (PORT) within 6 weeks of surgery for head and neck squamous cell carcinoma (HNSCC) is included in the National Comprehensive Cancer Network Clincal Practice Guidelines and is a Commission on Cancer quality metric. Factors associated with delays in starting PORT have not been systematically described nor synthesized. DATA SOURCES: PubMed, Scopus, and CINAHL. REVIEW METHODS: We included studies describing demographic characteristics, clinical factors, or social determinants of health associated with PORT delay (>6 weeks) in patients with HNSCC treated in the United States after 2003. Meta-analysis of odds ratios (ORs) was performed on nonoverlapping datasets. RESULTS: Of 716 unique abstracts reviewed, 21 studies were included in the systematic review and 15 in the meta-analysis. Study sample size ranged from 19 to 60,776 patients. In the meta-analysis, factors associated with PORT delay included black race (OR, 1.46, 95% confidence interval [CI]: 1.28-1.67), Hispanic ethnicity (OR, 1.37, 95% CI, 1.17-1.60), Medicaid or no health insurance (OR, 2.01, 95% CI, 1.90-2.13), lower income (OR, 1.38, 95% CI, 1.20-1.59), postoperative admission >7 days (OR, 2.92, 95% CI, 2.31-3.67), and 30-day hospital readmission (OR, 1.37, 95% CI, 1.29-1.47). CONCLUSION: Patients at greatest risk for a delay in initiating guideline-adherent PORT include those who are from minoritized communities, of lower socioeconomic status, and experience postoperative challenges. These findings provide the foundational evidence needed to deliver targeted interventions to enhance equity and quality in HNSCC care delivery.

Understanding mental health in developmental dyslexia through a neurodiversity lens: The mediating effect of school-connectedness on anxiety, depression and conduct problems.

Dyslexia, a neurocognitive difference characterised by poor word-reading, is associated with elevated risk for internalising (e.g., anxiety) and externalising (e.g., aggression) mental health concerns, the reasons are largely unknown. We took a neurodiversity perspective and explored whether school-connectedness mediated these associations. A total of 283 primary school children (87 with dyslexia) and their caregivers (95.4% mothers) completed a battery of well-validated connectedness and mental health measures. Two mediation models (one for child-report and one for caregiver-report) tested direct and indirect effects of dyslexia on anxiety, depression and conduct problems via several domains of school-connectedness. After controlling for gender and neurodevelopmental conditions other than dyslexia, there were no direct effects of dyslexia on child- or caregiver-reported internalising symptoms or child-reported conduct problems. Dyslexia was associated with child and caregiver reported anxiety, depression and conduct problems via low levels of school (but not teacher, friend or peer) connectedness. Findings highlight school-connectedness as an important intervention target for the mental health of children with dyslexia. Future research is needed to test associations between dyslexia, school-connectedness and mental health over time.

IRF4 requires ARID1A to establish plasma cell identity in multiple myeloma.

Multiple myeloma (MM) is an incurable plasma cell malignancy that exploits transcriptional networks driven by IRF4. We employ a multi-omics approach to discover IRF4 vulnerabilities, integrating functional genomics screening, spatial proteomics, and global chromatin mapping. ARID1A, a member of the SWI/SNF chromatin remodeling complex, is required for IRF4 expression and functionally associates with IRF4 protein on chromatin. Deleting Arid1a in activated murine B cells disrupts IRF4-dependent transcriptional networks and blocks plasma cell differentiation. Targeting SWI/SNF activity leads to rapid loss of IRF4-target gene expression and quenches global amplification of oncogenic gene expression by MYC, resulting in profound toxicity to MM cells. Notably, MM patients with aggressive disease bear the signature of SWI/SNF activity, and SMARCA2/4 inhibitors remain effective in immunomodulatory drug (IMiD)-resistant MM cells. Moreover, combinations of SWI/SNF and MEK inhibitors demonstrate synergistic toxicity to MM cells, providing a promising strategy for relapsed/refractory disease.

Demographic Disparities in Drive Times to the Nearest Audiologist in the United States.

PURPOSE: Audiological services are underused, possibly because patients need to drive long distances to see a provider. In this study, we measured the association of drive times to the nearest audiologist with population density, income, ethnicity, race, and distance to the nearest audiology graduate program. METHOD: Drive times for each census block group to the nearest audiologist were measured using census data, the National Provider Identifier Registry, and a geographic analyzing tool called ArcGIS for all block groups within the United States. The association between drive times and population density, income, ethnicity, race, and audiology program distance was evaluated with a population density-matched case-control study and multiple linear regression analyses. RESULTS: Approximately 5.29 million Americans need to drive at least 1 hr to visit their closest audiologist. The 10% most rural-dwelling Americans drive an average of 33.8 min. The population density-matched case-control study demonstrated that percent below poverty, percent identifying as Hispanic, and travel times to the nearest audiology program were all significantly higher in census block groups with high drive times to the nearest audiologist. An average of 7.96% of individuals in census block groups with low drive times identified as Hispanic, but 18.8% identified as Hispanic in high drive time groups. The multiple linear regression showed that the effect of demographics and distance to the nearest audiology program was highest in rural areas. In both analyses, adjusting for poverty did not drastically change the effect of percent identifying as Hispanic on drive times. CONCLUSIONS: Long drive times restrict access to audiological care for those who live in rural areas. This restriction disproportionately affects those in rural areas who identify as Hispanic or have low income.

Genomic Profiling to Contextualize the Results of Intervention for Smoldering Multiple Myeloma.

PURPOSE: Early intervention for High-Risk Smoldering Multiple Myeloma (HR-SMM) achieves deep and prolonged responses. It is unclear if beneficial outcomes are due to treatment of less complex, susceptible disease or inaccuracy in clinical definition of cases entered. EXPERIMENTAL DESIGN: Here, we interrogated whole genome and whole exome sequencing for 54 patients across two HR-SMM interventional studies (NCT01572480, NCT02279394). RESULTS: We reveal that the genomic landscape of treated HR-SMM is generally simple as compared to Newly Diagnosed (ND)MM counterparts with less inactivation of tumor suppressor genes, RAS pathway mutations, MYC disruption, and APOBEC contribution. The absence of these events parallels that of indolent precursor conditions, possibly explaining overall excellent outcomes. However, some patients harboring genomic complexity fail to sustain response and experience resistant, progressive disease. Overall, clinical risk scores do not effectively discriminate between genomically indolent and aggressive disease. CONCLUSIONS: Genomic profiling can contextualize the advantage of early intervention in SMM and guide personalization of therapy.

Neighborhood-Level Disadvantage and Delayed Adjuvant Therapy in Head and Neck Cancer.

Importance: For patients with head and neck squamous cell carcinoma (HNSCC), initiation of postoperative radiation therapy (PORT) within 6 weeks of surgery is recommended by the National Comprehensive Cancer Network Guidelines and the Commission on Cancer. Although individual-level measures of socioeconomic status are associated with receipt of timely, guideline-adherent PORT, the role of neighborhood-level disadvantage has not been examined. Objective: To characterize the association of neighborhood-level disadvantage with delays in receiving PORT. Design, Setting, and Participants: This retrospective cohort study included 681 adult patients with HNSCC undergoing curative-intent surgery and PORT from 2018 to 2020 at 4 US academic medical centers. The data were analyzed between June 21, 2023, and March 5, 2024. Main Outcome Measures and Measures: The primary outcome was delay in initiating guideline-adherent PORT (ie, >6 weeks after surgery). Time-to-PORT (TTP) was a secondary outcome. Census block-level Area Deprivation Index (ADI) scores were calculated and reported as national percentiles (0-100); higher scores indicate greater deprivation. The association of ADI scores with PORT delay was assessed using multivariable logistic regression adjusted for demographic, clinical, and institutional characteristics. PORT initiation across ADI score population quartiles was evaluated with cumulative incidence plots and Cox models. Results: Among 681 patients with HNSCC undergoing surgery and PORT (mean [SD] age, 61.5 [11.2] years; 487 [71.5%] men, 194 [29.5%] women) the PORT delay rate was 60.8% (414/681) and median (IQR) TTP was 46 (40-56) days. The median (IQR) ADI score was 62.0 (44.0-83.0). Each 25-point increase in ADI score was associated with a corresponding 32% increase in the adjusted odds ratio (aOR) of PORT delay (aOR, 1.32; 95% CI, 1.07-1.63) on multivariable regression adjusted for institution, age, race and ethnicity, insurance, comorbidity, cancer subsite, stage, postoperative complications, care fragmentation, travel distance, and rurality. Increasing ADI score population quartiles were associated with increasing TTP (hazard ratio of PORT initiation, 0.71; 95% CI, 0.53-0.96; 0.59; 95% CI, 0.44-0.77; and 0.54; 95% CI, 0.41-0.72; for ADI quartiles 2, 3, and 4 vs ADI quartile 1, respectively). Conclusions and Relevance: Increasing neighborhood-level disadvantage was independently associated with a greater likelihood of PORT delay and longer TTP in a dose-dependent manner. These findings indicate a critical need for the development of multilevel strategies to improve the equitable delivery of timely, guideline-adherent PORT.

National Breast, Cervical, and Colorectal Cancer Screening Use in Federally Qualified Health Centers.

Importance: Federally qualified health centers (FQHCs) deliver health care to nearly 30 million underserved persons across the US, yet nationwide and state-level breast, cervical, and colorectal cancer screening use in FQHCs is not described. Furthermore, it is unknown how the underscreened FQHC population contributes to the total underscreened population at national and state levels. Objective: To describe national- and state-level breast, cervical, and colorectal cancer screening use among individuals served by FQHCs in the US and to estimate the percentage of underscreened individuals in the general population served by FQHCs. Design, Setting, and Participants: This cross-sectional analysis of cancer screening used data from January 1 through December 31, 2020, from the FQHC Uniform Data System, reported by 1364 FQHCs across the US, and self-reported estimates from the Behavioral Risk Factor Surveillance System. Participants were 16 696 692 US adults served by FQHCs who were eligible for breast (age, 50-74 years), cervical (age, 21-64 years), and colorectal (age, 50-75 years) cancer screening. Analyses were conducted between January 1 and June 30, 2023. Exposures: Breast, cervical, and colorectal cancer screening. Main Outcomes and Measures: Percentages of breast, cervical, and colorectal cancer screening-eligible individuals up to date on screening. Results: A total of 3 162 882 breast, 7 444 465 cervical, and 6 089 345 colorectal screening-eligible individuals were served by FQHCs in 2020. Nationally, screening use in FQHCs was 45.4% (95% CI, 45.4%-45.5%) for breast cancer, 51.0% (95% CI, 51.0%-51.1%) for cervical cancer, and 40.2% (95% CI, 40.1%-40.2%) for colorectal cancer. Screening use among the US general population was 78.2% (95% CI, 77.6%-78.9%) for breast cancer, 82.9% (95% CI, 82.3%-83.4%) for cervical cancer, and 72.3% (95% CI, 71.7%-72.8%) for colorectal cancer. The contribution of the underscreened population served by FQHCs to the national underscreened general population was 16.9% (95% uncertainty interval [UI], 16.4%-17.4%) for breast cancer, 29.7% (95% UI, 28.8%-30.7%) for cervical cancer, and 14.7% (95% UI, 14.4%-15.0%) for colorectal cancer. Conclusions and Relevance: Findings from this national cross-sectional study indicated major gaps in cancer screening use in FQHCs in the US. Improved prevention is urgently needed to address screening disparities.

The ethical challenges of diversifying genomic data: A qualitative evidence synthesis.

This article aims to explore the ethical issues arising from attempts to diversify genomic data and include individuals from underserved groups in studies exploring the relationship between genomics and health. We employed a qualitative synthesis design, combining data from three sources: 1) a rapid review of empirical articles published between 2000 and 2022 with a primary or secondary focus on diversifying genomic data, or the inclusion of underserved groups and ethical issues arising from this, 2) an expert workshop and 3) a narrative review. Using these three sources we found that ethical issues are interconnected across structural factors and research practices. Structural issues include failing to engage with the politics of knowledge production, existing inequities, and their effects on how harms and benefits of genomics are distributed. Issues related to research practices include a lack of reflexivity, exploitative dynamics and the failure to prioritise meaningful co-production. Ethical issues arise from both the structure and the practice of research, which can inhibit researcher and participant opportunities to diversify data in an ethical way. Diverse data are not ethical in and of themselves, and without being attentive to the social, historical and political contexts that shape the lives of potential participants, endeavours to diversify genomic data run the risk of worsening existing inequities. Efforts to construct more representative genomic datasets need to develop ethical approaches that are situated within wider attempts to make the enterprise of genomics more equitable.

SpaceANOVA: Spatial Co-occurrence Analysis of Cell Types in Multiplex Imaging Data Using Point Process and Functional ANOVA.

Multiplex imaging platforms have enabled the identification of the spatial organization of different types of cells in complex tissue or the tumor microenvironment. Exploring the potential variations in the spatial co-occurrence or colocalization of different cell types across distinct tissue or disease classes can provide significant pathological insights, paving the way for intervention strategies. However, the existing methods in this context either rely on stringent statistical assumptions or suffer from a lack of generalizability. We present a highly powerful method to study differential spatial co-occurrence of cell types across multiple tissue or disease groups, based on the theories of the Poisson point process and functional analysis of variance. Notably, the method accommodates multiple images per subject and addresses the problem of missing tissue regions, commonly encountered due to data-collection complexities. We demonstrate the superior statistical power and robustness of the method in comparison with existing approaches through realistic simulation studies. Furthermore, we apply the method to three real data sets on different diseases collected using different imaging platforms. In particular, one of these data sets reveals novel insights into the spatial characteristics of various types of colorectal adenoma.

A case-control study to investigate the prevalence of obstructive sleep apnea and the utility of the PSQ-SRBD questionnaire in children and young people with epilepsy.

STUDY OBJECTIVES: Epilepsy and obstructive sleep apnea syndrome (OSAS) are each relatively common in children. OSAS may affect cognition, such that recognition of OSAS is important for children and young people with epilepsy (CYPWE). Published pilot data reported 55% CYPWE had symptoms suggestive of OSAS, compared with 7% typically developing controls. The primary aim of this study was to ascertain OSAS prevalence by polysomnography (PSG) in CYPWE, with secondary aims being to evaluate the utility of sleep questionnaires in CYPWE. METHODS: Children and young people with epilepsy and age- and sex-matched typically developing controls were studied. A single night of level I attended PSG was undertaken, along with questionnaires [Pediatric Sleep Questionnaire (PSQ-SRBD), Pittsburgh Sleep Quality Index (PSQI) and the childhood and adolescent Epworth Sleepiness Scale (ESS-CHAD)]. OSAS was defined as obstructive apnea-hypopnea index (oAHI) of ≥ 1 event/h. RESULTS: Polysomnography was performed in 72 children including 48 CYPWE (60% male) and 24 controls (54% male). Mean age (11 years) was similar for CYPWE and controls, p= 0.42; with slightly higher BMI z scores (0.7 v 0.1, p=0.03) noted in CYPWE. Mean oAHI was 0.61 in CYPWE versus 0.42 (controls), p=0.62. Despite higher PSQ-SRBD scores in CYPWE (0.38 v 0.12, p<0.001), no difference in OSAS prevalence (10% vs. 4%, p=0.78) was found. Children and young people with epilepsy had higher ESS-CHAD (6 vs. 3.5, p=0.01) and PSQI (5 vs. 3.3, p=0.02) scores indicating greater levels of daytime sleepiness and poorer sleep quality. CONCLUSIONS: The study found no evidence for increased OSAS prevalence in CYPWE, whilst the utility of the PSQ-SRBD in predicting OSAS appears limited for CYPWE. Children and young people with epilepsy are, however demonstrably sleepier with poorer sleep quality. The cause for these findings remains unclear. CLINICAL TRIAL REGISTRATION: Investigation of Sleep Quality and Prevalence of Sleep-disordered Breathing in Children and Young People With Epilepsy; https://www.clinicaltrials.gov/study/NCT03103841.

Human Papillomavirus Vaccination Among Young Adults Before and During the COVID-19 Pandemic.

This cross-sectional survey study assesses the self-reported human papillomavirus vaccination rate by sociodemographic characteristics in adults aged 18 to 26 years from 2018 to 2022.

A systematic review of the performance of actigraphy in measuring sleep stages.

The accuracy of actigraphy for sleep staging is assumed to be poor, but examination is limited. This systematic review aimed to assess the performance of actigraphy in sleep stage classification of adults. A systematic search was performed using MEDLINE, Web of Science, Google Scholar, and Embase databases. We identified eight studies that compared sleep architecture estimates between wrist-worn actigraphy and polysomnography. Large heterogeneity was found with respect to how sleep stages were grouped, and the choice of metrics used to evaluate performance. Quantitative synthesis was not possible, so we performed a narrative synthesis of the literature. From the limited number of studies, we found that actigraphy-based sleep staging had some ability to classify different sleep stages compared with polysomnography.

Modelling Alzheimer's disease in a dish: dissecting amyloid-ß metabolism in human neurons.

This scientific commentary refers to 'Inhibition of insulin-degrading enzyme in human neurons promotes amyloid-ß deposition' by Rowland et al. (https://doi.org/10.1042/NS20230016). Insulin-degrading enzyme (IDE) and neprilysin (NEP) have been proposed as two Aß-degrading enzymes supported by human genetics and in vivo data. Rowland et al. provide complementary evidence of a key role for IDE in Aß metabolism in human-induced pluripotent stem cell (iPSC)-derived cortical neurons.

Improved Patient Outcomes and Pediatric Resident Performance With a Parent and Faculty Communication Coaching Curriculum.

Communication skills are an important part of patient care, but an often neglected part of residency training. Longitudinal active coaching of communication has the potential to effectively improve communication curricula. A novel communication coach curriculum was implemented with approximately half of a pediatric residency class. Residents were coached by both a parent and faculty coach on multiple occasions throughout their intern year. Effectiveness was evaluated through self-assessment, direct observation, chart review, and follow-up phone calls with families. This longitudinal communication coach curriculum was well-received and resulted in increased self-awareness of communication skills. Coachable behaviors improved in intervention residents, and their patients spoke more positively of their experiences with communication. Additionally, these patients were less likely to be readmitted than patients cared for by control residents. A longitudinal communication coaching model is a feasible and effective curriculum for pediatric residents.

Maternal preconception stress produces sex-specific effects at the maternal:fetal interface to impact offspring development and phenotypic outcomes†.

Entering pregnancy with a history of adversity, including adverse childhood experiences and racial discrimination stress, is a predictor of negative maternal and fetal health outcomes. Little is known about the biological mechanisms by which preconception adverse experiences are stored and impact future offspring health outcomes. In our maternal preconception stress (MPS) model, female mice underwent chronic stress from postnatal days 28-70 and were mated 2 weeks post-stress. Maternal preconception stress dams blunted the pregnancy-induced shift in the circulating extracellular vesicle proteome and reduced glucose tolerance at mid-gestation, suggesting a shift in pregnancy adaptation. To investigate MPS effects at the maternal:fetal interface, we probed the mid-gestation placental, uterine, and fetal brain tissue transcriptome. Male and female placentas differentially regulated expression of genes involved in growth and metabolic signaling in response to gestation in an MPS dam. We also report novel offspring sex- and MPS-specific responses in the uterine tissue apposing these placentas. In the fetal compartment, MPS female offspring reduced expression of neurodevelopmental genes. Using a ribosome-tagging transgenic approach we detected a dramatic increase in genes involved in chromatin regulation in a PVN-enriched neuronal population in females at PN21. While MPS had an additive effect on high-fat-diet (HFD)-induced weight gain in male offspring, both MPS and HFD were necessary to induce significant weight gain in female offspring. These data highlight the preconception period as a determinant of maternal health in pregnancy and provides novel insights into mechanisms by which maternal stress history impacts offspring developmental programming.