Epigenome-wide differential methylation and differential variability as predictors of high-grade cervical intraepithelial neoplasia (cin2+).

CpG site methylation patterns have potential to improve differentiation of high-grade screening-detected cervical abnormalities. We assessed CpG differential methylation (DM) and differential variability (DV) in high-grade (CIN2+) vs. low-grade (≤CIN1) lesions. In ≤CIN1 (n=117) and CIN2+ (n=31) samples, cervical sample DNA underwent testing with Illumina HumanMethylation arrays. We assessed DM and DV of CpG methylation M values among nine cervical cancer-associated genes. We fit CpG-specific linear models and estimated empirical Bayes standard errors and false discovery rates (FDR). An exploratory epigenome-wide association study (EWAS) aimed to detect novel DM and DV CpGs (FDR<0.05) and Gene Ontology (GO) term enrichment. Compared to ≤CIN1, CIN2+ exhibited greater methylation at CCNA1 Cluster 1 (M value difference 0.24; 95% CI 0.04, 0.43) and RARB Cluster 2 (0.16; 95% CI 0.05, 0.28), and lower methylation at CDH1 Cluster 1 (-0.15; 95% CI -0.26, -0.04). CIN2+ exhibited lower variability at CDH1 Cluster 2 (variation difference -0.24; 95% CI -0.41, -0.05) and FHIT Cluster 1 (-0.30; 95% CI -0.50, -0.09). EWAS detected 3,534 DM and 270 DV CpGs. Forty-four GO terms were enriched with DM CpGs related to transcriptional, structural, developmental, and neuronal processes. Methylation patterns may help triage screening-detected cervical abnormalities and inform US screening algorithms.

Effect-Invariant Mechanisms for Policy Generalization.

Policy learning is an important component of many real-world learning systems. A major challenge in policy learning is how to adapt efficiently to unseen environments or tasks. Recently, it has been suggested to exploit invariant conditional distributions to learn models that generalize better to unseen environments. However, assuming invariance of entire conditional distributions (which we call full invariance) may be too strong of an assumption in practice. In this paper, we introduce a relaxation of full invariance called effect-invariance (e-invariance for short) and prove that it is sufficient, under suitable assumptions, for zero-shot policy generalization. We also discuss an extension that exploits e-invariance when we have a small sample from the test environment, enabling few-shot policy generalization. Our work does not assume an underlying causal graph or that the data are generated by a structural causal model; instead, we develop testing procedures to test e-invariance directly from data. We present empirical results using simulated data and a mobile health intervention dataset to demonstrate the effectiveness of our approach.

Text Messages to Promote Physical Activity in Patients With Cardiovascular Disease: A Micro-Randomized Trial of a Just-In-Time Adaptive Intervention.

BACKGROUND: Text messages may enhance physical activity levels in patients with cardiovascular disease, including those enrolled in cardiac rehabilitation. However, the independent and long-term effects of text messages remain uncertain. METHODS: The VALENTINE study (Virtual Application-supported Environment to Increase Exercise) was a micro-randomized trial that delivered text messages through a smartwatch (Apple Watch or Fitbit Versa) to participants initiating cardiac rehabilitation. Participants were randomized 4× per day over 6-months to receive no text message or a message encouraging low-level physical activity. Text messages were tailored on contextual factors (eg, weather). Our primary outcome was step count 60 minutes following a text message, and we used a centered and weighted least squares mean method to estimate causal effects. Given potential measurement differences between devices determined a priori, data were assessed separately for Apple Watch and Fitbit Versa users over 3 time periods corresponding to the initiation (0-30 days), maintenance (31-120 days), and completion (121-182 days) of cardiac rehabilitation. RESULTS: One hundred eight participants were included with 70 552 randomizations over 6 months; mean age was 59.5 (SD, 10.7) years with 36 (32.4%) female and 68 (63.0%) Apple Watch participants. For Apple Watch participants, text messages led to a trend in increased step count by 10% in the 60-minutes following a message during days 1 to 30 (95% CI, -1% to +20%), with no effect from days 31 to 120 (+1% [95% CI, -4% to +5%]), and a significant 6% increase during days 121 to 182 (95% CI, +0% to +11%). For Fitbit users, text messages significantly increased step count by 17% (95% CI, +7% to +28%) in the 60-minutes following a message in the first 30 days of the study with no effect subsequently. CONCLUSIONS: In patients undergoing cardiac rehabilitation, contextually tailored text messages may increase physical activity, but this effect varies over time and by device. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04587882.

Spatial Intracranial Pressure Fields Driven by Blast Overpressure in Rats.

Free-field blast exposure imparts a complex, dynamic response within brain tissue that can trigger a cascade of lasting neurological deficits. Full body mechanical and physiological factors are known to influence the body's adaptation to this seemingly instantaneous insult, making it difficult to accurately pinpoint the brain injury mechanisms. This study examined the intracranial pressure (ICP) profile characteristics in a rat model as a function of blast overpressure magnitude and brain location. Metrics such as peak rate of change of pressure, peak pressure, rise time, and ICP frequency response were found to vary spatially throughout the brain, independent of blast magnitude, emphasizing unique spatial pressure fields as a primary biomechanical component to blast injury. This work discusses the ICP characteristics and considerations for finite element models, in vitro models, and translational in vivo models to improve understanding of biomechanics during primary blast exposure.

Resilience partially mediates the association between perceived social isolation and life satisfaction in people with systemic sclerosis.

Objectives: Systemic sclerosis (SSc) negatively affects quality of life, yet the factors influencing life satisfaction, a key aspect of well-being, remain unclear in this population. Social isolation is common in SSc, potentially linked to decreased life satisfaction, but the underlying mechanisms are unexplored. Resilience, a modifiable psychological resource, may act as a mediator in this relationship among people with SSc. This study aimed to examine the relationship between perceived social isolation and life satisfaction and to investigate whether resilience mediates this relationship. Methods: The Patient-Reported Outcomes Measurement Information System Social Isolation Short Form, the Connor-Davidson Resilience Scale, and the Satisfaction with Life Scale were used to assess perceived social isolation, resilience, and life satisfaction. Linear regressions were conducted using the PROCESS macro for SPSS. Results: Among 163 individuals with SSc who provided complete data at baseline (mean age = 54.7 ± 11.9 years), 47% had diffuse cutaneous SSc, and 57% had an early disease duration. Perceived social isolation was negatively associated with life satisfaction. Resilience partially mediated the association between perceived social isolation and life satisfaction in people with SSc. Conclusions: Findings revealed a significant association between perceived social isolation and life satisfaction and the mediating role of resilience in this association among people with SSc. Results suggest resilience may act as a protective mediator, counteracting the negative influence of perceived social isolation on life satisfaction. Findings support the promotion of social connection and resilience to enhance life satisfaction in people with SSc. Clinical Trials Registration #: NCT04908943.

Outcomes and patient perspectives of a novel virtual spinal referral pathway in a non-specialist centre.

INTRODUCTION: In Irish orthopaedic centres without dedicated spinal services, the care of patients is facilitated through tertiary referral centres in Dublin, Cork & Galway. The outpatient waiting list for elective spinal opinion remains lengthy and challenging. Previous practice in University Hospital Waterford (UHW) necessitated an assessment with a local non-spinal orthopaedic specialist following a GP referral, incurring up to a 2-year wait prior to subspecialist spinal referral. These patients subsequently incurred a further wait for an appointment at the tertiary referral centre. A novel virtual spine clinic in collaboration with the Mater Misericordiae University Hospital (MMUH) was developed to fast-track this process. AIMS AND METHODS: A retrospective study was performed to audit efficiency by assessing time to initial consultation and time to virtual consultation, treatment outcomes, and patient satisfaction using an adapted patient-satisfaction questionnaire (PSQ-18) and a semi-structured interview. This study reflected the unique nature of patient experience in this pathway. RESULTS: The median time from referral to being seen in an in-person rapid access physiotherapist combined orthopaedic clinic was 185 days. The median time from initial consultation to virtual consultation was 36 days. The median time interval from virtual consultation to intervention was 110 days. Twenty percent of patients underwent surgery, 14% were further seen in the MMUH outpatients, 7% managed with the trial of physiotherapy, 7% required no follow-up, and 50% planned for radiologically guided spinal injections. DISCUSSION AND CONCLUSION: This novel pathway is efficient for orthopaedic units without a dedicated spinal service. This can easily be replicated across other orthopaedic centres with minimal cost implications.

Persisting neurobehavioral consequences of daily or intermittent paternal cannabis administration in F1 and F2 Rats.

Repeated paternal preconception exposure to Δ9-tetrahydrocannabinol (Δ9-THC) alone or together with the other constituents in a cannabis extract has been shown in our earlier studies in rats to cause significant neurobehavioral impairment in their offspring. In the current study, we compared the effects of daily cannabis extract (CE) exposure to cannabis on two consecutive days per week, modeling weekend cannabis use in human. The CE contained Δ9-THC as well as cannabidiol and cannabinol. We also extended the investigation of the study to cross-generational effects of grand-paternal cannabis exposure on the F2 generation and included testing the effects of paternal cannabis exposure on responding for opiate self-administration in F1 and F2 generation offspring. We replicated the findings of neurobehavioral impairment in F1 offspring of male rats exposed to cannabis extract containing 4 mg/kg/day of Δ9-THC daily for four weeks prior to mating with drug naïve females. The 4-week cannabis extract exposure caused a significant decrease in weight gain in the male rats exposed daily. In contrast, their offspring showed significantly greater body weights and anogenital distances (AGD) in the third to fourth weeks after birth. The behavioral effects seen in the F1 generation were increased habituation of locomotor activity in the figure-8 maze in female offspring and increased lever pressing for the opiate drug remifentanil in male offspring. The F2 generation showed significantly impaired negative geotaxis and an elimination of the typical sex-difference in locomotor activity, with effects not seen in the F1 generation. This study shows that daily paternal cannabis exposure for four weeks prior to mating causes significant neurobehavioral impairment in the F1 and F2 offspring. Intermittent exposure on two consecutive days per week for four weeks caused comparable neurobehavioral impairment. In sum, there should be concern about paternal as well as maternal exposure to cannabis concerning neurobehavioral development of their offspring.

Tobacco exposures are associated with health care utilization (HCU) and health care costs in pregnant persons and their newborn babies.

INTRODUCTION: Identifying health care utilization and costs associated with active and passive smoking during pregnancy could help improve health management strategies. METHODS: Data are from the Newborn Epigenetics STudy (NEST), a birth cohort enrolled from 2005-2011 in Durham and adjacent counties in North Carolina, United States. Participants included those for whom prenatal serum samples were assayed and for whom administrative data were obtainable (N=1,045). Zero-inflated Poisson (ZIP) regression models were used to assess associations between cotinine, adjusted for covariates (e.g., race and ethnicity, age at delivery, cohabitation status, education), and health care utilization outcomes. Generalized linear regression models were used to estimate average total charges. Simulation models were conducted to determine the economic benefits of reducing SHS and smoking during pregnancy. RESULTS: Increasing levels of cotinine were positively associated with parent's number of ED visits (coefficient(b)=0.0012, standard error (SE)=0.0002; P<.001), the number of ICU hours (b=0.0079, SE=0.0025; P=.002)), time spent in the ICU (b=0.0238, SE=0.0020, P<.001), and the number of OP visits (b=0.0003, SE=0.0001; P<.001). For infants, higher cotinine levels were associated with higher number of ED (b=0.0012, SE=0.0004; P=.005), ICU (b=0.0050, SE=0.001; P<.001), and OP (b=0.0006, SE=0.0002; P<.001) visits and longer time spent in the ED (b=0.0025, SE=0.0003; P<.001), ICU (b=0.0005, SE=0.0001; P<.001), and IP (b=0.0020, SE=0.0002; P<.001). Simulation results showed that a 5% reduction in smoking would correspond to a potential median cost savings of $150,533 from ED visits of parents and infants. CONCLUSION: Our findings highlight the importance of smoke exposure cessation during pregnancy to reduce health care utilization and costs for both parents and infants. IMPLICATIONS: This study reinforces the importance of reducing smoking and secondhand smoke exposure during pregnancy. Focusing on expanding cessation services to this group could help reduce morbidities observed within this population. Furthermore, there is the potential for health care costs savings to health care systems, especially to those with high delivery numbers. These cost savings are represented by potential reductions in ED, OP, and ICU hours and visits.

Peer-Led Symptom Management Intervention to Enhance Resilience in People With Systemic Sclerosis: Mediation Analysis From a Randomized Clinical Trial.

OBJECTIVE: Facilitated self-management interventions have the potential to enhance resilience and well-being. We examined whether resilience is a mediator of improving physical and psychological symptoms for people with systemic sclerosis (SSc) who participated in a 12-week online peer-led symptom management intervention. METHODS: We conducted a secondary data analysis from a randomized control trial comparing a peer health-coached intervention to a waitlist control. Participants completed the Connor-Davidson Resilience Scale, the Functional Assessment of Chronic Illness Therapy-Fatigue scale, and the Patient Reported Outcomes Measurement Information System measures of pain interference and depressive symptoms at the baseline and at weeks 6 and 12. Linear mixed effect regression models were used to assess the effect of intervention on changes in resilience. Causal mediation analyses were conducted to examine whether changes in resilience at week 12 mediated intervention effects on changes in fatigue, pain interference, and depressive symptoms at week 12. RESULTS: One hundred and seventy-three eligible participants were enrolled. Participants in the intervention group reported improvements in resilience (P < 0.001). These changes in resilience mediated the intervention effects on fatigue with indirect effect of -1.41 (95% confidence interval [CI] -2.41 to -0.41), pain interference of -0.86 (95% CI -1.65 to -0.08), and depressive symptoms of -1.99 (95% CI -3.16 to -0.81). CONCLUSION: For participants in the intervention who had positive improvements in their physical and psychological symptoms, increased resilience was a mechanism for these improvements. These findings support the importance of addressing resilience to improve symptoms in similar SSc interventions.

Maternal Childhood Adversity and Infant Epigenetic Aging: Moderation by Restless Sleep During Pregnancy.

Maternal exposure to childhood adversity is associated with detrimental health outcomes throughout the lifespan and may have implications for offspring. Evidence links maternal adverse childhood experiences (ACEs) to detrimental birth outcomes, yet the impact on the infant's epigenome is unclear. Moreover, maternal sleep habits during pregnancy may influence this association. Here, we explore whether restless sleep during pregnancy moderates the association between exposure to maternal childhood adversity and infant epigenetic age acceleration in 332 mother-infant dyads (56% female; 39% Black; 25% Hispanic). During the 2nd trimester, mothers self-reported childhood adversity and past-week restless sleep; DNA methylation from umbilical vein endothelial cells was used to estimate five epigenetic clocks. Multivariable linear regression was used to test study hypotheses. Despite no evidence of main effects, there was evidence of an interaction between maternal ACEs and restless sleep in predicting infant epigenetic age acceleration using the EPIC Gestational Age clock. Only infants whose mothers reported exposure to both ACEs and restless sleep demonstrated accelerated epigenetic aging. Results provide preliminary evidence that maternal childhood adversity and sleep may influence the infant epigenome.

Impact of a resilience-building energy management intervention for people with systemic sclerosis: a mixed methods study.

Objectives: People with SSc often experience fatigue, which significantly affects daily life functioning and quality of life. We aimed to explore participants' experiences of a peer health-coached resilience-building energy management to enhance well-being (RENEW) intervention on symptoms and well-being and to use mixed methods to compare how SSc duration influenced the experiences of participants who had clinically significant fatigue improvement vs those who did not. Methods: Semi-structured interviews were conducted with 21 participants from the parent clinical trial randomized to the RENEW intervention. Data were analysed using the rigorous and accelerated data reduction technique combined with thematic content analysis. A mixed methods approach used a joint display to identify themes related to the impact of SSc duration on fatigue improvement status. Participants were categorized into short/improvement, short/limited improvement, long/improvement, and long/limited improvement. Results: Our team generated four themes: participant and peer health-coach relationship, physical and psychological well-being improvement, need for a tailored approach and easy program access through technology. Mixed methods analysis revealed that, regardless of SSc duration, participants with improved fatigue reported increasing self-awareness of SSc-related symptoms and learning coping strategies to manage fatigue. Participants in the short/improvement group reported preferences for slower pacing of the program and pairing with a coach with similar symptom severity. Participants in the long/limited improvement group sought SSc-specific symptom management information. Conclusion: Incorporating peer health coaches and technology is beneficial for self-management interventions for people with SSc. Future tailoring of RENEW based on SSc duration and symptom severity is needed. Clinical trial registration number: clinicatrials.gov, NCT04908943.

Lack of detectable sex differences in the mitochondrial function of Caenorhabditis elegans.

BACKGROUND: Sex differences in mitochondrial function have been reported in multiple tissue and cell types. Additionally, sex-variable responses to stressors including environmental pollutants and drugs that cause mitochondrial toxicity have been observed. The mechanisms that establish these differences are thought to include hormonal modulation, epigenetic regulation, double dosing of X-linked genes, and the maternal inheritance of mtDNA. Understanding the drivers of sex differences in mitochondrial function and being able to model them in vitro is important for identifying toxic compounds with sex-variable effects. Additionally, understanding how sex differences in mitochondrial function compare across species may permit insight into the drivers of these differences, which is important for basic biology research. This study explored whether Caenorhabditis elegans, a model organism commonly used to study stress biology and toxicology, exhibits sex differences in mitochondrial function and toxicant susceptibility. To assess sex differences in mitochondrial function, we utilized four male enriched populations (N2 wild-type male enriched, fog-2(q71), him-5(e1490), and him-8(e1498)). We performed whole worm respirometry and determined whole worm ATP levels and mtDNA copy number. To probe whether sex differences manifest only after stress and inform the growing use of C. elegans as a mitochondrial health and toxicologic model, we also assessed susceptibility to a classic mitochondrial toxicant, rotenone. RESULTS: We detected few to no large differences in mitochondrial function between C. elegans sexes. Though we saw no sex differences in vulnerability to rotenone, we did observe sex differences in the uptake of this lipophilic compound, which may be of interest to those utilizing C. elegans as a model organism for toxicologic studies. Additionally, we observed altered non-mitochondrial respiration in two him strains, which may be of interest to other researchers utilizing these strains. CONCLUSIONS: Basal mitochondrial parameters in male and hermaphrodite C. elegans are similar, at least at the whole-organism level, as is toxicity associated with a mitochondrial Complex I inhibitor, rotenone. Our data highlights the limitation of using C. elegans as a model to study sex-variable mitochondrial function and toxicological responses.

Influence of substance use on male reproductive health and offspring outcomes.

The prevalence of substance use globally is rising and is highest among men of reproductive age. In Africa, and South and Central America, cannabis use disorder is most prevalent and in Eastern and South-Eastern Europe, Central America, Canada and the USA, opioid use disorder predominates. Substance use might be contributing to the ongoing global decline in male fertility, and emerging evidence has linked paternal substance use with short-term and long-term adverse effects on offspring development and outcomes. This trend is concerning given that substance use is increasing, including during the COVID-19 pandemic. Preclinical studies have shown that male preconception substance use can influence offspring brain development and neurobehaviour through epigenetic mechanisms. Additionally, human studies investigating paternal health behaviours during the prenatal period suggest that paternal tobacco, opioid, cannabis and alcohol use is associated with reduced offspring mental health, in particular hyperactivity and attention-deficit hyperactivity disorder. The potential effects of paternal substance use are areas in which to focus public health efforts and health-care provider counselling of couples or individuals interested in conceiving.

Intervention Optimization: A Paradigm Shift and Its Potential Implications for Clinical Psychology.

To build a coherent knowledge base about what psychological intervention strategies work, develop interventions that have positive societal impact, and maintain and increase this impact over time, it is necessary to replace the classical treatment package research paradigm. The multiphase optimization strategy (MOST) is an alternative paradigm that integrates ideas from behavioral science, engineering, implementation science, economics, and decision science. MOST enables optimization of interventions to strategically balance effectiveness, affordability, scalability, and efficiency. In this review we provide an overview of MOST, discuss several experimental designs that can be used in intervention optimization, consider how the investigator can use experimental results to select components for inclusion in the optimized intervention, discuss the application of MOST in implementation science, and list future issues in this rapidly evolving field. We highlight the feasibility of adopting this new research paradigm as well as its potential to hasten the progress of psychological intervention science.

Optimizing an adaptive digital oral health intervention for promoting oral self-care behaviors: Micro-randomized trial protocol.

Dental disease continues to be one of the most prevalent chronic diseases in the United States. Although oral self-care behaviors (OSCB), involving systematic twice-a-day tooth brushing, can prevent dental disease, this basic behavior is not sufficiently practiced. Recent advances in digital technology offer tremendous potential for promoting OSCB by delivering Just-In-Time Adaptive Interventions (JITAIs)- interventions that leverage dynamic information about the person's state and context to effectively prompt them to engage in a desired behavior in real-time, real-world settings. However, limited research attention has been given to systematically investigating how to best prompt individuals to engage in OSCB in daily life, and under what conditions prompting would be most beneficial. This paper describes the protocol for a Micro-Randomized Trial (MRT) to inform the development of a JITAI for promoting ideal OSCB, namely, brushing twice daily, for two minutes each time, in all four dental quadrants (i.e., 2x2x4). Sensors within an electric toothbrush (eBrush) will be used to track OSCB and a matching mobile app (Oralytics) will deliver on-demand feedback and educational information. The MRT will micro-randomize participants twice daily (morning and evening) to either (a) a prompt (push notification) containing one of several theoretically grounded engagement strategies or (b) no prompt. The goal is to investigate whether, what type of, and under what conditions prompting increases engagement in ideal OSCB. The results will build the empirical foundation necessary to develop an optimized JITAI that will be evaluated relative to a suitable control in a future randomized controlled trial.

Evaluation of the long-term outcomes of the University of Michigan's Practice-Oriented Research Training (PORT) program.

The University of Michigan created the Practice-Oriented Research Training (PORT) program and implemented it between 2008 and 2018. The PORT program provided research training and funding opportunities for allied healthcare professionals. The program consisted of weekly didactics and group discussion related to topics relevant to developing specific research ideas into projects and funding for a mentored research project for those who submitted a competitive grant application. The goal of this evaluation was to assess the long-term impact of the PORT program on the research careers of the participants. Ninety-two participants (74 staff and 18 faculty) participated in both phases of the program. A mixed-methods approach to evaluation was used; 25 participants who received funding for their research completed surveys, and semi-structured interviews were conducted with eight program participants. In addition, data were collected on participants' publication history. Fifteen out of the 74 staff participants published 31 first-authored papers after participating in PORT. Twelve out of 15 staff participants who published first-authored papers did so for the first time after participating in the PORT program. Results of quantitative and qualitative analyses suggest that the PORT program had positive impacts on both participants and the research community.

Updating and evaluating a research best practices training course for social and behavioral research professionals.

Introduction: The clinical and translational research workforce involved in social and behavioral research (SBR) needs to keep pace with clinical research guidance and regulations. Updated information and a new module on community and stakeholder engagement were added to an existing SBR training course. This article presents evaluation findings of the updated course for the Social and Behavioral Workforce. Methods and Materials: Participants working across one university were recruited. Course completers were sent an online survey to evaluate the training. Some participants were invited to join in a focus group to discuss the application of the training to their work. We performed descriptive statistics and conducted a qualitative analysis on focus group data. Results: There were 99 participants from diverse backgrounds who completed the survey. Most reported the training was relevant to their work or that of the study teams they worked with. Almost half (46%) indicated they would work differently after participating. Respondents with community or stakeholder engaged research experience vs. those without were more likely to report that the new module was relevant to study teams they worked with (t = 5.61, p = 0.001), and that they would work differently following the training (t = 2.63, p = 0.01). Open-ended survey responses (n = 99) and focus group (n = 12) data showed how participants felt their work would be affected by the training. Conclusion: The updated course was rated highly, particularly by those whose work was related to the new course content. This course provides an up-to-date resource for the training and development for the Social and Behavioral Workforce.

The use of race terms in epigenetics research: considerations moving forward.

The field of environmental epigenetics is uniquely suited to investigate biologic mechanisms that have the potential to link stressors to health disparities. However, it is common practice in basic epigenetic research to treat race as a covariable in large data analyses in a way that can perpetuate harmful biases without providing any biologic insight. In this article, we i) propose that epigenetic researchers open a dialogue about how and why race is employed in study designs and think critically about how this might perpetuate harmful biases; ii) call for interdisciplinary conversation and collaboration between epigeneticists and social scientists to promote the collection of more detailed social metrics, particularly institutional and structural metrics such as levels of discrimination that could improve our understanding of individual health outcomes; iii) encourage the development of standards and practices that promote full transparency about data collection methods, particularly with regard to race; and iv) encourage the field of epigenetics to continue to investigate how social structures contribute to biological health disparities, with a particular focus on the influence that structural racism may have in driving these health disparities.

Quantifying acute changes in neurometabolism following blast-induced traumatic brain injury.

Brain health is largely dependent on the metabolic regulation of amino acids. Brain injuries, diseases, and disorders can be detected through alterations in free amino acid (FAA) concentrations; and thus, mapping the changes has high diagnostic potential. Common methods focus on optimizing neurotransmitter quantification; however, recent focus has expanded to investigate the roles of molecular precursors in brain metabolism. An isocratic method using high performance liquid chromatography with electrochemical cell detection was developed to quantify a wide range of molecular precursors and neurotransmitters: alanine, arginine, aspartate, serine, taurine, threonine, tyrosine, glycine, glutamate, glutamine, and γ-Aminobutyric acid (GABA) following traumatic brain injury. First, baseline concentrations were determined in the serum, cerebrospinal fluid, hippocampus, cortex, and cerebellum of naïve male Sprague Dawley rats. A subsequent study was performed investigating acute changes in FAA concentrations following blast-induced traumatic brain injury (bTBI). Molecular precursor associated FAAs decreased in concentration at 4 h after injury in both the cortex and hippocampus while those serving as neurotransmitters remained unchanged. In particular, the influence of oxidative stress on the observed changes within alanine and arginine pathways following bTBI should be further investigated to elucidate the full therapeutic potential of these molecular precursors at acute time points.

Association of maternal prenatal copper concentration with gestational duration and preterm birth: a multicountry meta-analysis.

BACKGROUND: Copper (Cu), an essential trace mineral regulating multiple actions of inflammation and oxidative stress, has been implicated in risk for preterm birth (PTB). OBJECTIVES: This study aimed to determine the association of maternal Cu concentration during pregnancy with PTB risk and gestational duration in a large multicohort study including diverse populations. METHODS: Maternal plasma or serum samples of 10,449 singleton live births were obtained from 18 geographically diverse study cohorts. Maternal Cu concentrations were determined using inductively coupled plasma mass spectrometry. The associations of maternal Cu with PTB and gestational duration were analyzed using logistic and linear regressions for each cohort. The estimates were then combined using meta-analysis. Associations between maternal Cu and acute-phase reactants (APRs) and infection status were analyzed in 1239 samples from the Malawi cohort. RESULTS: The maternal prenatal Cu concentration in our study samples followed normal distribution with mean of 1.92 µg/mL and standard deviation of 0.43 µg/mL, and Cu concentrations increased with gestational age up to 20 wk. The random-effect meta-analysis across 18 cohorts revealed that 1 µg/mL increase in maternal Cu concentration was associated with higher risk of PTB with odds ratio of 1.30 (95% confidence interval [CI]: 1.08, 1.57) and shorter gestational duration of 1.64 d (95% CI: 0.56, 2.73). In the Malawi cohort, higher maternal Cu concentration, concentrations of multiple APRs, and infections (malaria and HIV) were correlated and associated with greater risk of PTB and shorter gestational duration. CONCLUSIONS: Our study supports robust negative association between maternal Cu and gestational duration and positive association with risk for PTB. Cu concentration was strongly correlated with APRs and infection status suggesting its potential role in inflammation, a pathway implicated in the mechanisms of PTB. Therefore, maternal Cu could be used as potential marker of integrated inflammatory pathways during pregnancy and risk for PTB.