Physiological Genomics

Mice housed at room temperature (RT, 25{degrees}C) experience chronic mild cold stress compared with those housed at thermoneutrality (TN, 30{degrees}C). We hypothesized that cold stress suppresses circadian transcript expression in peripheral tissues. RNA-seq of hearts, livers, and diaphragms collected every 4 hours over 48 hours in constant darkness identified mRNA transcripts exhibiting {approx}24-hour rhythms (REGs). TN produced tissue-specific changes in REG number, identity, and phase without altering core circadian clock transcript levels. Cardiac REGs increased 4-fold, diaphragm REGs 1.5-fold, and hepatic REG identity shifted substantially. GO analysis revealed coordinated reorganization of rhythmic metabolic programs in the heart and liver. These data demonstrate that ambient housing temperature has tissue-specific effects on the number, identity, and temporal organization of rhythmically expressed transcripts in the heart, liver, and diaphragm.

BackgroundGene expression levels are affected by genetics and environmental effects. However, quantification of the influence of genetics and environmental effects on gene expression remains limited, especially in farm animals. Here, the relative influence of genetic and heat-related environmental variations on gene expression levels was investigated in pigs, using a backcross herd of diverse heat adaptation levels. Backcross animals were raised in either a tropical or temperate environment. Animals raised in temperate environment were subjected to an experimental heat stress at the end of their growth. ResultsWe identified 1,967 differentially expressed genes (DEGs) between pigs raised in the tropical (n = 181) and temperate (n = 180) facilities, and 472 DEGs throughout a 3 weeks experimental heat stress. Transcriptome-wide association (TWAS) study identified 139 associations between gene expression levels and thermoregulation/production traits. We detected 6,014 expression quantitative trait loci (eQTLs) associated with the expression level of 3,297 genes. Genetic variance was estimated to explain 36.3% of gene expression variance on average, and was the main source of variance for 27.7% of transcripts. Most eQTLs found are located in proximal regions (cis-eQTLs) and few within distal regions (trans-eQTLs) to their assigned genes. A trans-eQTL hotspot highlighted a hematopoietic mechanism driven by GPATCH8. An integration of GWAS and TWAS pointed to TMCO1 and ZNF184 as candidate genes for backfat thickness. ConclusionsThis study provides a better understanding of the impact of climate, heat stress and genetic influences on the pig whole blood transcriptome.

Circadian rhythms regulate diverse physiological processes, including metabolism, and their disruption has been implicated in metabolic disorders such as obesity. However, the tissue-specific effects of obesity on peripheral circadian clocks remain incompletely understood. Here, we investigated the impact of high-fat diet (HFD)-induced obesity on circadian gene expression in skeletal muscle, liver, and white adipose tissue (WAT). Mice were fed either a regular diet (RD) or HFD for 6 weeks, followed by tissue collection at 4-hour intervals over a 24-hour period. Under RD conditions, key circadian regulators and their downstream targets exhibited robust 24-hour oscillations across all tissues. In contrast, HFD feeding induced distinct, tissue-specific alterations. In the liver, Per2, Dbp, and Rev-erb showed phase-advanced expression patterns, whereas in WAT, rhythmic expression was markedly attenuated. Notably, skeletal muscle largely preserved circadian gene expression patterns, indicating relative resistance to HFD-induced circadian disruption. In addition, HFD feeding altered metabolic gene expression in adipose tissue, characterized by reduced Pgc1 expression and increased Leptin expression. Together, these findings demonstrate that HFD-induced obesity differentially disrupts peripheral circadian clocks in a tissue-specific manner and highlight skeletal muscle as a relatively resilient tissue. These results provide insight into how circadian dysregulation contributes to metabolic abnormalities in obesity.

Epigenetics may play a crucial role in livestock adaptation to environmental challenges like heat stress. In recent years, a growing number of studies have investigated the epigenetic mechanisms underlying dairy cow adaptation to heat stress. However, there is still limited knowledge about the effects of heat stress on immune cells and immune-related phenotypes. Herein we aim to identify heat-stress induced DNA methylation variations on blood methylome potentially affecting regulatory regions and associated phenotypes. Blood samples were collected and peripheral blood mononuclear cell (PBMC) isolated from four cows before (D0) and after (D14) a 14-d heat stress challenge (cyclical THI 72-82) and, from four cows kept in thermoneutral conditions (THI 61-64). Heat-stressed cows had ad libitum access to diets supplemented with adequate levels of vitamin D and Ca (12,000 IU/kg of vitamin D and 0.73% Ca, respectively). To eliminate confounding effects due to differences in nutrient intake, cows maintained under thermoneutral conditions were pair-fed (PF) to their heat-stressed counterparts and received adequate concentrations of vitamin D and Ca as well. Reduced representation bisulphite sequencing (RRBS) was used to profile PBMCs methylome. Differential methylation analysis was performed using methylKit and DSS softwares ({Delta}meth [&ge;] 25%, adjusted p-value < 0.01), retaining only commonly detected differentially methylated cytosines (DMCs). A total of 2,908 DMCs were identified when comparing pre- and post-heat stress samples. After excluding 649 DMCs that were also detected under thermoneutral conditions, as these changes were likely associated with feed restriction inherent to the pair-feeding design rather than with heat stress per se, 2,259 heat stress-specific DMCs remained, predominantly hypomethylated. About half of the DMCs are annotated in intronic and intergenic regions; known to harbor regulatory elements. By intersecting the DMRs with publicly available functional annotation data, we observed hypomethylation on regulatory regions putatively affecting cows immune system. As an example, we identified a loss of methylation within an enhancer region of the MSN gene, which is involved in lymphocyte homeostasis, and a loss of methylation in the promoter region of MECP2, a well-established epigenetic regulator with a central role in chromatin organization and gene expression. These findings highlight the impact of heat stress on dairy cow immunity and provide new insights into its epigenetic regulation under environmental stress. Interpretative summaryThis study examined DNA methylation changes induced by heat stress in dairy cows to elucidate epigenetic mechanisms of thermal adaptation. Using RRBS on PBMCs, 2,259 heat stress-specific differentially methylated cytosines were identified, predominantly hypomethylated and enriched in regulatory regions. Functional annotation highlighted immune-related pathways, including hypomethylated regulatory regions near genes (e.g., MSN, ZBTB33, SLC25A5, GNAS, FAM3A, and MECP2) associated with immune function. These findings indicate that heat stress induces targeted epigenetic modifications potentially affecting immune regulation in dairy cows.

Pregnancy results in profound physiological changes driven by dynamic and precisely programmed molecular processes. Maternal peripheral blood is generally the specimen of choice for studying these processes, as it is easily accessible and essential for many aspects of maintaining a healthy pregnancy. Here, we present a high-resolution atlas of the dynamic temporal changes in the transcriptome of maternal peripheral blood in healthy human pregnancy. We generated comprehensive RNA sequencing data in 802 weekly samples from 31 healthy pregnant women from the first trimester until after delivery. Using a strict discovery and replication setup, our longitudinal analysis of gene expression identified 720 genes with robust pregnancy-specific expression patterns. Using weighted graph correlation network analysis, we identified nine pregnancy-associated transcriptional modules that reveal a strong, coordinated enrichment of innate/neutrophil and antiviral immune programs, alongside changes in adaptive immunity (T cell differentiation and signaling), erythropoiesis and hemoglobin metabolism. Cell-type deconvolution revealed that these transcriptomic shifts were accompanied by increased relative neutrophil proportions and reduced naive CD4 and CD8 T cells in pregnancy. We provide a comprehensive characterization of dynamic changes across pregnancy, highlighting maternal blood as a key systemic regulator in healthy gestation. Together, our findings establish a reference atlas of healthy pregnancy, which can be used to identify dysregulated processes and mechanisms in women with pregnancy complications. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC="FIGDIR/small/715300v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@2a4b28org.highwire.dtl.DTLVardef@ac49d9org.highwire.dtl.DTLVardef@12468c8org.highwire.dtl.DTLVardef@15b282f_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LI720 genes showed robust pregnancy specific expression patterns. C_LIO_LICo-expression analysis clustered the genes into nine modules with distinct dynamics. C_LIO_LIEnrichment in pathways involved in innate and neutrophil-mediated immunity, antiviral responses, T cell differentiation and signaling, erythropoiesis and hemoglobin metabolism. C_LIO_LICell-type deconvolution showed increases in neutrophils and decreases in naive CD4 and CD8 T cells. C_LIO_LIThe atlas of detailed longitudinal transcriptional changes provides a baseline reference for healthy pregnancy. C_LIO_LIResults for all genes and protein-protein interaction networks are made available for interactive exploration. C_LI

Objective: To characterize genome-wide DNA methylation patterns associated with sepsis using the Infinium Methylation EPIC v2.0 platform and to evaluate the feasibility of pooled methylation profiling in a pilot critical care cohort. Design: Single-center pilot epigenome-wide association study using pooled whole-blood genomic DNA and pool-level bioinformatic analysis. Setting: Academic medical center. Patients: Fifty critically ill adults enrolled within 48 hours of illness onset and 20 healthy controls. Interventions: None. Measurements and Main Results: Critically ill patients required mechanical ventilation and/or vasopressor support. Sepsis was defined according to Sepsis-3 criteria. Seventy individual samples were organized into 14 intended pools of 5 individuals each: 7 sepsis pools, 3 critically ill non-septic pools, and 4 healthy-control pools. One critically ill non-septic pool was excluded because of poor DNA quality, yielding 13 analyzable pools. For the primary pooled comparison, 7 sepsis pools were compared with 6 non-sepsis comparator pools comprising 2 critically ill non-septic and 4 healthy-control pools. After quality control and preprocessing with SeSAMe, 876,094 CpG sites were retained. The initial pool-level screen identified 170,897 candidate differentially methylated regions. Application of stringent secondary filters (false discovery rate <= 1%, absolute delta-beta >= 7.5%, and >= 5 CpGs per region) yielded a high-confidence subset with marked directional skewing, including 155 hypomethylated and 32 hypermethylated regions in sepsis. Differentially methylated region-associated genes were enriched in myeloid leukocyte activation, myeloid leukocyte-mediated immunity, defense response to bacterium, neutrophil granule biology, and hematopoietic cell lineage pathways. Additional signals involved microRNA-associated targets, ribosome biogenesis, RNA processing, long noncoding RNAs, and previously uncharacterized loci. Conclusions: In this pilot pooled EPIC v2.0 study, sepsis was associated with a biologically coherent, predominantly hypomethylated methylation signature enriched in myeloid and host-defense pathways. These findings support the feasibility of pooled methylation profiling for discovery-oriented sepsis biobank studies but should be interpreted as hypothesis-generating given the pool-level design, limited effective sample size, heterogeneous comparator group, and lack of direct validation against individual-level methylation profiles.

Background/ObjectivesIndividuals with Down syndrome (DS) are at increased risk of obesity and metabolic comorbidities, yet the mechanisms underlying these conditions remain unclear. Here we investigated how DS-associated genetic condition interacts with diet and metabolic pathways in the Dp(16)1Yey mouse model of DS. MethodsUntargeted plasma metabolomics was performed in Dp(16)1Yey and control mice, subjected to either control or high-fat diet (HFD). Raw data were processed, and features were annotated. Statistical analyses were conducted in R, and pathway analysis was performed with MetaboAnalyst v5.0. Fecal microbiome was obtained using 16SrRNAseq and analyzed using phyloseq in R. ResultsDiet exerted the strongest effect on mice plasma metabolome, followed by sex and genotype. Seventy-five diet-responsive metabolites were enriched in amino acid and nucleotide metabolism. Genotype-driven changes affected 34 metabolites, notably impacting amino acid and taurine-hypotaurine metabolism. Fifty-six sex-associated metabolites highlighted disruptions in aromatic amino acid biosynthesis and pyrimidine metabolism. A significant Diet*Genotype interaction was observed for five metabolites, including a marked reduction in the microbiota-derived metabolite 3-indolepropionic acid (IPA) in Dp(16)1Yey mice on HFD. Both genotype and diet exerted pronounced effects on fecal microbiome with selective depletion of the IPA-producing Clostridia in Dp1Yey mice under HFD. ConclusionSegmental trisomy in Dp(16)1Yey mice modulates the host metabolic response to dietary fat, partly through microbiota-derived metabolites such as IPA. These findings highlight the importance of genotype, diet, and microbiome interactions in shaping metabolic disease risk in DS and point toward microbiota-targeted dietary interventions.

Zinc is an essential trace element involved in numerous biological processes, including cellular signalling, development, and reproduction. Zinc homeostasis is regulated by zinc transporters, yet the physiological roles of many transporters remain poorly understood in vivo. Here, we investigated the function of the zinc transporter ZIP9 (SLC39A9) using a zebrafish (Danio rerio) knockout model. Elemental imaging using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) revealed altered zinc distribution in zip9-deficient larvae. Synchrotron-based X-ray fluorescence (XRF) imaging further showed reduced zinc levels in the brain region of mutant zebrafish. Consistent with these observations, loss of zip9 was associated with altered expression of key neuroendocrine genes within the hypothalamic-pituitary-gonadal (HPG) axis. Zip9 mutant females exhibited disrupted ovarian follicle development, reduced spawning rates, and decreased egg production. In addition, embryos derived from zip9 mutant parents displayed reduced size, impaired early development, and decreased survival. Together, these findings identify ZIP9 as a regulator of zinc distribution in vivo and suggest that ZIP9-mediated zinc signalling contributes to reproductive regulation in zebrafish.

Germ-free (GF) animal models are indispensable for dissecting host-microbiota interactions and their roles in health and disease. The small teleost fish medaka (Oryzias latipes) provides unique advantages for establishing GF models across developmental stages, yet the functions of its intestinal microbiota and metabolites remain poorly characterized. Here, we developed both early-life and chronic GF medaka models to systematically characterize host biology in the absence of microbiota and evaluate the contribution of gut-derived metabolites to growth and immune development. Using a refined sterile feeding and verification protocol, we successfully maintained GF medaka for up to 57 days post-fertilization (dpf). As anticipated, GF fish displayed developmental delays, impaired organogenesis, reduced immune competence, and metabolic dysregulation. Supplementation with sterile gut-derived metabolites partially alleviated these deficits, as evidenced by enhanced locomotor activity and immune responses. Mechanistically, recovery was associated with improved ribosome biogenesis, tricarboxylic acid cycle activity, and histidine and pyruvate metabolism, suggesting enhanced protein synthesis and immune maturation. However, metabolite supplementation also elevated oxidative stress and inflammatory responses and failed to fully restore long-term survival or organ development. Our findings support the use of GF medaka as a versatile platform for investigating microbiota-host interactions across life stages. By integrating metabolite interventions, this model provides critical insights into the functional roles of gut microbiota and offers a valuable tool for advancing microbiome research in health and disease.

This study aimed to determine the impact of inborn metabolic fitness and early life exercise training on whole body and brown adipose tissue (BAT) energetics. We carried out comprehensive metabolic phenotyping on 4-week old rats bred for high (high-capacity runner, HCR) and low (low-capacity runner, LCR) running capacity following randomization to voluntary wheel running (VWR) or control (CRTL) for 6-weeks. High-resolution respirometry and untargeted proteomics were then employed to determine the impact of inborn fitness and early life exercise on BAT function. When accounting for differences in body mass, early life exercise (VWR) resulted in greater basal and total energy expenditure, irrespective of strain (P < 0.0001 for both). Both leak and uncoupling protein 1 (UCP1) dependent respiratory capacities in isolated BAT mitochondria were greater in rats randomized to VWR compared to CTRL in both HCR (P < 0.01) and LCR (P < 0.05) strains. Similarly, mitochondrial sensitivity to the UCP1 inhibitor GDP was greater in both HCR (P < 0.01) and LCR (P < 0.05) rats randomized to VWR versus control. The BAT proteome differed in CTRL HCR and LCR rats, were there was enrichment in proteins related to branched chain oxidation and mitochondrial fatty acid oxidation in HCR rats. VWR remodeled the BAT proteome, where 151 proteins were differentially expressed in LCR BAT and 209 differentially expressed in LCR BAT following VWR. In both stains, there was an enrichment in proteins related to metabolism mitochondrial function in response to VWR. However, when comparing strains, 39 proteins were differentially expressed in BAT in HCR rats compared to LCR rats in response to VWR. These proteins were related to carboxylic acid and amino acid metabolism. Collectively, inborn fitness impacts body mass and composition, exercise behaviors, and the BAT proteome in early life. Early life exercise alters whole body and BAT energetics irrespective of inborn fitness, augmenting basal and total energy expenditure and BAT thermogenic capacity and function.

Prenatal air pollution exposure is associated with childhood asthma, particularly among biological males. The mechanisms remain unclear, but may involve lasting epigenetic changes, such DNA methylation (DNAm), that occur during gestation in response to oxidative stress and inflammation. Higher maternal intake of "protective" micronutrients, like antioxidants, could buffer pollution-induced oxidative stress and inflammation to mitigate potentially adverse DNAm differences contributing to asthma. Using data from 515 CANDLE participants, we examined associations between prenatal NO2, PM2.5, and PM10 and cord blood DNAm, evaluated DNAm mediation of pollution associations with childhood wheeze phenotypes (transient, persistent, and late-onset), and assessed buffering of DNAm by maternal polyunsaturated fatty acid, vitamin C, or folate intake, and overall diet quality measured by the Alternative Healthy Eating Index-Pregnancy (AHEI-P). We identified 19, seven, and five regional DNAm differences associated NO2, PM2.5, and PM10. Mediation analyses suggested a role for HLA-DPA1/DPB1 DNAm in NO2 and PM2.5 associations with transient wheeze. To assess buffering, we fit pollutant-by-diet interaction models, defining buffering as an interaction opposite in sign to the main pollutant effect. One or more micronutrients or AHEI-P attenuated pollutant effects at 16 of 19 NO2-associated DMRs, including HLA-DPA1/DPB1, and all PM2.5- and PM10-associated DMRs. However, attenuation of HLA-DPA1/DPB1 DNAm did not significantly reduce the indirect effect of NO2 on transient wheeze. In sex-stratified analyses, biological males exhibited lower PM2.5-associated DNAm in SERPINB9, a gene linked to lung function. These findings suggest prenatal air pollution alters DNAm, which may contribute to transient wheeze, with some differences partially buffered by maternal diet. Significance StatementPrenatal air pollution exposure contributes to child wheeze and asthma, potentially through the oxidative stress response and subsequent changes to infant DNA methylomes. Here, we used data from the CANDLE cohort to identify cord blood DNAm differences associated with NO2, PM2.5, or PM10. We examined if any alterations mediated the relationship between prenatal air pollution exposures and transient, persistent, or late-onset wheeze at age 4 to 6 years. Some of these DNAm differences appeared to be at least partially buffered by maternal micronutrients and/or overall diet quality.

We investigated effects of three aerobic exercise interventions, varying in amount and intensity with durations of 8-9-months on small RNA (smRNA) expression and regulatory pathways in skeletal muscle and plasma from 120 participants. Using untargeted smRNA sequencing focused on miRNAs and piRNAs, adjusting for demographics and bodyweight, we identified 124 muscle smRNAs altered by exercise amount and 15 by intensity, and 47 plasma smRNAs altered by intensity and one by amount. These smRNAs were enriched in metabolic, transcriptional, translational, and cell cycle pathways. Exercise-induced changes in several smRNAs-six from muscle and five from plasma-and exercise-induced reduction in body weight, aligned with improvement in insulin sensitivity (p<0.05). These findings demonstrate tissue-specific regulation of smRNAs by exercise and identify potential candidates for exercise mimetics to modulate muscle insulin sensitivity.

Cancer survivors face an increased risk of metabolic complications compared to the general population. Our group demonstrated that cisplatin, a platinum-based chemotherapeutic agent, robustly disrupts insulin secretion in vitro in mouse and human islets, and reduces plasma insulin levels in mice 2 weeks post-in vivo exposure. The long-term effects of in vivo cisplatin exposure alongside a pre-existing metabolic stressor, such as high-fat diet (HFD) feeding, have not been characterized. In the present study, male and female mice fed either a standard rodent chow or a 45 kcal% HFD were exposed to vehicle or 2 mg/kg cisplatin every other day for 2 weeks and then tracked for 18 weeks. Cisplatin exposure substantially influenced the metabolic phenotype of HFD-fed males but had limited impact on female HFD-fed mice. Vehicle-HFD and cisplatin-HFD male mice were both glucose intolerant compared to chow-fed controls yet, cisplatin-HFD male mice were lean, lacked a compensatory hyperinsulinemia response, and displayed increased insulin sensitivity compared to vehicle-HFD and vehicle-chow male controls. Additionally, transcriptional changes in islets isolated at 18-weeks post-exposure were largely cisplatin-driven in male mice, but diet-driven in female mice. Our study demonstrates that HFD-fed male mice exposed to cisplatin display persistent and exacerbated metabolic dysregulation relative to controls. ARTICLE HIGHLIGHTSO_ST_ABSWhy did we undertake this study?C_ST_ABSWe previously characterized the short-term metabolic effects of cisplatin exposure in vivo, but the long-term metabolic effects of cisplatin remained unknown. What is the specific question(s) we wanted to answer?How does cisplatin treatment impact long-term metabolic health outcomes in mice and do outcomes differ in the presence of a metabolic stressor? What did we find?Cisplatin significantly alters the metabolic phenotype of high-fat diet-fed male mice. What are the implications of our findings?Understanding how cisplatin exposure and metabolic stress interact is critical to mitigate long-term metabolic dysregulation in cancer survivors.

Exercise provides broad health benefits, including improved emotional well-being and cognitive function. Emerging evidence suggests that exercising at different times during the day can have differential effects. However, how circadian phase and sex influence behavioral and physiological responses to exercise remains unclear. To address this question, we examined male and female wild-type mice maintained in either regular (REG, lights on/off at 7AM/7PM) or inverted (INV, lights off/on at 10AM/10PM) light cycles. Mice were then subjected to daily 20-min group swimming exercise sessions at ZT2-3 for 3 weeks. Exercised and sedentary controls mice were then subjected to an open field test (OFT) and blood corticosterone (CORT) measurements 24 hours post-exercise. We quantified several behaviors during swimming: escape attempts, floating, climbing and collisions. We also identified a novel swimming behavior: floating with only nostrils-above-water events (NAWEs). We found that expression of these behaviors was differentially modulated by sex, light-cycle and their interaction. Notably, behavioral differences were more pronounced in REG mice (rest phase). REG mice also lost weight after exercise and had elevated CORT levels compared to mice kept in INV conditions (active phase). Interestingly, OFT behaviors showed significant differences primarily in INV mice, particularly females, when comparing exercised vs sedentary groups. Our novel findings reveal that circadian rhythms and sex significantly interact to shape swimming exercise and stereotyped behaviors in mice. This emphasizes the need to consider the animals circadian phase when designing preclinical studies to match intended behavioral and physiological outcomes. HIGHLIGHTSCircadian phase and sex jointly shape swimming behavior patterns. Newly identified swimming behavior is more prevalent during rest-phase Restphase exercise produced stronger behavioral and physiological effects. Rest-phase exercise resulted in weight loss and elevated stress markers. Active-phase exercised females showed the strongest open field behavioral differences.

Hypoxemia occurs in intermittent forms, such as obstructive sleep apnea, and in continuous forms, such as at high altitude, and is increasingly recognized as a modulator of cardiometabolic risk. Although hypoxemia alters postprandial glucose and lipid metabolism, its effects on ketone bodies remain unclear. Using a randomized crossover design, we examined whether six hours of normoxemia or intermittent hypoxemia (15 hypoxemic cycles/hour targeting [~]85% peripheral oxyhemoglobin saturation with 100% medical-grade nitrogen) alters plasma {beta}-hydroxybutyrate (BHB) concentrations in 12 young adult females (mean [SD]: 21 [3] years) following a high-fat meal (33% of estimated daily energy requirements; 59% of calories from fat). In a follow-up session, a subset (n = 8) completed six hours of continuous hypoxemia (fraction of inspired oxygen [~]12.0% in a normobaric chamber). Postprandial data were analyzed using baseline-adjusted linear mixed-effects models, with Bonferroni post hoc tests. A time x condition interaction (P = 0.010) indicated that BHB concentrations at 360 minutes were higher during continuous hypoxemia (0.247 mmol/L; 95% CI: 0.218-0.275) than normoxemia (0.176 mmol/L; 95% CI: 0.153-0.200; PBonferroni = 0.029) and intermittent hypoxemia (0.163 mmol/L; 95% CI: 0.139-0.186; PBonferroni = 0.002), representing increases of 13.0% and 14.2% in estimated marginal means, respectively. This response was accompanied by higher postprandial plasma glucose and triglyceride concentrations during continuous hypoxemia than during normoxemia and intermittent hypoxemia (PBonferroni [&le;] 0.002), despite similar plasma insulin and non-esterified fatty acid responses across conditions (P [&ge;] 0.081). These findings indicate that continuous hypoxemia increases late postprandial plasma BHB concentrations in young adult females. New FindingsO_ST_ABSWhat is the central question of this study?C_ST_ABSWhat are the effects of normoxemia, intermittent hypoxemia, and continuous hypoxemia on plasma {beta}-hydroxybutyrate (BHB) concentrations in young adult females after a high-fat meal? What is the main finding and its importance?Compared to normoxemia, young adult females showed higher postprandial plasma BHB concentrations during continuous hypoxemia, but not during intermittent hypoxemia, despite similar changes in plasma concentrations of two main regulators of BHB production (non-esterified fatty acids and insulin) across experimental conditions. These findings suggest that continuous hypoxemia modifies postprandial BHB concentrations through mechanisms not fully explained by circulating non-esterified fatty acids or insulin concentrations alone.

BackgroundImmune dysfunction in sepsis and critical illness is biologically heterogeneous, yet available stratification frameworks leave many patients unclassified. We hypothesized that ex vivo cytokine-induction responses would define a continuous axis of functional immune responsiveness and identify a low-response state enriched in sepsis. MethodsIn this prospective observational study, 39 critically ill adults enrolled within 48 hours of ICU admission and 6 healthy controls underwent standardized whole-blood stimulation with lipopolysaccharide, anti-CD3/anti-CD28 antibodies, and PMA/ionomycin, with selected wells additionally supplemented with interleukin-7 or granulocyte-macrophage colony-stimulating factor. Interleukin-6, tumor necrosis factor, and interferon-gamma responses were quantified and referenced to subject-specific unstimulated baselines. A patient-anchored primary feature matrix was used to derive a continuous immune axis by principal component analysis, and a cross-validated 5-feature MiniResponder score was developed as a portable summary measure. ResultsAmong critically ill patients, induced cytokine responses organized along a dominant continuous axis of functional immune responsiveness; the first principal component explained 53.3% of between-patient variance. MiniResponder captured this axis and showed a lower-shifted distribution in sepsis. Using a control-referenced threshold defined by the 10th percentile of the healthy-control distribution, 19 of 39 patients (48.7%) were classified as low-response, including 15 of 21 patients with sepsis (71.4%) and 4 of 18 critically ill patients without sepsis (22.2%) (odds ratio 8.75, Fisher exact P=0.004). In exploratory analyses, lower MiniResponder scores were associated with greater unadjusted improvement in Sequential Organ Failure Assessment score from day 1 to days 3-9 (rho=-0.33; P=0.046), but this association attenuated after adjustment for baseline SOFA score (beta=-0.10; 95% CI-0.36 to 0.27). ConclusionsEx vivo immune profiling identified a continuous patient-anchored axis of functional immune responsiveness in critical illness that can be summarized by a compact 5-feature score. A control-referenced low-response state was enriched in sepsis. This framework may complement existing biomarker-based stratification approaches and support future enrichment strategies in sepsis trials.

BackgroundPolycystic ovary syndrome (PCOS) is a prevalent endocrine disorder and a leading cause of female infertility, with complex genetic, metabolic, and hormonal etiologies. Long non-coding RNAs (lncRNAs) have emerged as important regulators of diverse biological processes, yet their roles in PCOS remain underexplored. Here, we identified and characterized PCOS differentially expressed gene-associated lncRNAs (PDEGAL) with an integrative approach combining expression data, genetic association, and evolutionary analysis. MethodsThirty-three PCOS-associated protein-coding genes were obtained from our prior study, and all their nearby and overlapping lncRNAs were annotated. These candidates were analyzed using UCSC Genome Browser-mapped annotations and datasets, including NCBI RefSeq, GENCODE, GTEx, GWAS SNPs, and conservation, as well as the FANTOM5 cap analysis of gene expression (CAGE) promoter data, to assess their expression, regulatory potential, genetic variant overlaps, and evolutionary conservation. ResultsTwenty-three PDEGALs (18 antisense to, and 5 sharing bidirectional promoters with, known PCOS-associated protein-coding genes) were identified. 17 PDEGALs contained GWAS SNPs with statistically significant disease associations, 9 of which were associated with PCOS-related traits. 5 PDEGALs demonstrated expression in the KGN granulosa cell model of PCOS. Key gene structure element (KGSE) analysis revealed that most PDEGALs are primate-specific. Integrating four criteria--GTEx expression, GWAS SNPs, FANTOM promoterome, and KGSE conservation--highlighted HELLPAR as the only lncRNA fulfilling all four, while five others--PGR-AS1, MTOR-AS1, ENSG00000265179, ENSG00000256218, and LOC105377276--fulfilled three of the four criteria. ConclusionsWe have systematically identified candidate PCOS regulatory lncRNAs with convergent genetic, expression, and evolutionary evidence. These results provide a framework for functional validation and highlight lncRNAs as potential biomarkers and therapeutic targets in PCOS that function by regulating their nearby and overlapping protein-coding genes.

ObjectiveG protein-coupled receptor 180 (GPR180) has been implicated in systemic energy metabolism, primarily in adipose tissue and the liver. Given impaired whole-body glucose tolerance following GPR180 dysfunction, we aimed to determine whether GPR180 regulates pancreatic {beta}-cell function. We investigated whether GPR180 contributes to {beta}-cell insulin secretion by modulating metabolic processes that couple glucose sensing to mitochondrial energy production. MethodsPhenotyping of whole-body (Gpr180 -/-) and {beta} cell-specific Gpr180 (bGpr180-KO) knockout mice was combined with gain- and loss-of-function studies in MIN6 cells. Glucose-stimulated insulin secretion, pancreatic endocrine architecture and identity, transcriptomic and metabolic profiles, as well as mitochondrial function were assessed using in vivo and in vitro approaches, including metabolic challenge tests, histology, RNA sequencing, targeted metabolomics, respirometry, and transmission electron microscopy. ResultsLoss of GPR180 impaired first-phase insulin secretion and glucose tolerance without affecting insulin sensitivity. These defects were {beta}-cell-autonomous, as confirmed in the bGpr180-KO mice and in MIN6 cells. Functional studies revealed that GPR180 regulates mitochondrial substrate utilization, anaplerotic support of the TCA cycle, and ATP generation without affecting glucose uptake or mitochondrial biogenesis. In particular, Gpr180-deficient {beta} cells showed mitochondrial membrane depolarization, reduced oxygen consumption, and endoplasmic reticulum remodeling, altering the local mitochondrial microenvironment. In vivo, Gpr180 deletion in {beta} cells led to downregulation of mitochondrial gene programs in islets, along with altered endocrine cell identity. ConclusionsGPR180 is a previously unrecognized regulator of pancreatic {beta}-cell metabolic competence and identity, linking defects in insulin secretion with alterations in mitochondrial function and endocrine cell identity. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/720098v1_ufig1.gif" ALT="Figure 1"> View larger version (87K): org.highwire.dtl.DTLVardef@1a441ecorg.highwire.dtl.DTLVardef@e41e02org.highwire.dtl.DTLVardef@6e2212org.highwire.dtl.DTLVardef@7ee07a_HPS_FORMAT_FIGEXP M_FIG C_FIG

2.Childhood atopic disease is linked to delayed gut microbiome development and metabolic dysfunction, however microbial drivers remain unclear. To explore microbial correlates of asthma risk during a time of active gut microbiome development, we analyzed stool from 6-month-old infants at high asthma risk (HR) or healthy controls (HC), using Genome-resolved metagenomics (HR=7; HC=12) and untargeted metabolomics (HR=11; HC=15). We recovered 82 bacterial species-level metagenomic-assembled genomes (MAGs). Global Taxonomic composition did not differ by asthma risk. Anticipating that key differences might associate with specific genomes, a machine-learning approach pinpointed Bacteroides cellulosilyticus, Hungatella effluvii, and Enterocloster aldenensis as linked with asthma risk status. All three species were more abundant in HC infants and the B. cellulosilyticus genome was enriched for carbohydrate metabolism genes relative to other MAGs. Metabolomic profiling revealed variance associated with asthma risk (PERMANOVA, R2 =0.069, p=0.016). HR fecal metabolomes were enriched in simple sugars, whereas HC contained more nitrogenous compounds. Integrative genome-metabolic modeling of compounds that significantly differentiate asthma-risk groups revealed risk-dependent interactions with community-encoded metabolic potential (CEP), for arabinose and agmatine, whose fecal concentrations are linked with B. cellulosilyticus and H. effluvii functional traits respectively. These findings suggest that microbial-influenced metabolic differences associate with asthma risk at 6 months, with B. cellulosilyticus and H. effluvii emerging as candidate bacteria influencing this observed metabolic remodeling. 3. Impact statementLeveraging a random forest classifier, we identified three bacterial species (Bacteroides cellulosilyticus, Hungatella effluvii, and Enterocloster aldenensis) as distinguishing features enriched in healthy 6-month old infant microbiomes compared to those at high risk of asthma development (HR). We developed an approach to integrate metabolomics and metagenomic-derived microbiome community encoded potential (CEP) with clinical outcomes to identify fecal metabolites whose concentrations are likely to be influenced by the microbiome. Fecal arabinose concentrations were positively associated with CEP in healthy infants, but not in HR subjects who exhibited elevated concentrations irrespective of CEP. These data implicate microbial activity as a contributor to the concentration of this metabolite in healthy but not HR infants. With a leave-one-out-cross-validation, we identified B. cellulosilyticus as a contributor to fecal arabinose concentrations. Our data indicate that microbial functional deficits in HR infants is associated with altered gut metabolic dysfunction during microbiome maturation. 4. Data summaryDurack et. al [1] is the source of the metabolomics data utilized in this study. The authors confirm that all other supporting data, code and protocols have been provided within the article or through supplementary data files.

Global climate change has increased the frequency and severity of stressful temperatures that freshwater fishes experience, necessitating rapid and sensitive methods to monitor wild populations. Tissues used to measure transcriptional responses traditionally involved invasive or lethal sampling, which may be undesirable for imperilled species. Epidermal mucus offers a non-lethal and minimally invasive alternative, but whether thermal thresholds can be detected in mucus to identify fish experiencing thermal stress is unclear. Bull trout (Salvelinus confluentus) are a legally protected salmonid and cold-water specialist, generally occupying waters 12 {degrees}C and below, with higher temperatures resulting in cellular stress. Therefore, we measured a suite of 56 genes using high-throughput qPCR to compare machine learning classifiers developed with transcriptional profiles of epidermal mucus, gill, liver, and muscle to classify laboratory reared juvenile bull trout as below (9 {degrees}C, 12 {degrees}C) or above (15 {degrees}C, 18 {degrees}C) cellular thermal thresholds. Mucus profiles most resembled gills but represented an intermediate transcriptional response to all tissues. A reduced biomarker panel of 10 genes in mucus assigned fish to stress categories with 94.1% (95% CI = 71.3-99.9%) accuracy, which was comparable to gill (100.0%, CI = 82.4- 100%), liver (95.0%, CI = 75.1-99.9%), and muscle (100.0%, CI = 80.5-100.0%). Sex-specific temperature effects were evident in all tissues, but less pronounced in mucus and gill than in liver and muscle. Our findings demonstrate that transcriptional profiling of mucus can reliably identify individuals experiencing thermal stress, highlighting the promise of this non-lethal approach for monitoring at-risk species.