Physiological genomics最新文献

Pyruvate carboxylase (PC) catalyzes the formation of oxaloacetate, a TCA cycle intermediate and gluconeogenic substrate. Altering saturated to unsaturated fatty acid ratio alters PC expression, suggesting a central role in mediating carbon flow through metabolic pathways. Herein, we describe changes in metabolic flux of TCA cycle intermediates and proteome in Madin-Darby bovine kidney (MDBK) cells with PC expression knocked-down (PC-KD), overexpressed (PC-OE), unaltered using a Scramble control, or cells pretreated for 21 h with vehicle control bovine serum albumin (BSA) or different ratios of palmitic acid (P) and α-linolenic acid (L) ranging from 1 mM P:0 mM L (1P:0L) to 0P:1L. All cells were collected for proteome analysis and to measure [U-¹³C] pyruvate flux or oxidation of [1-¹⁴C] palmitic acid and [U-¹⁴C] lactate. Compared with Scramble, ¹³C enrichment of all TCA cycle intermediates was greater in PC-OE, but all were reduced in PC-KD except succinate. Proteins greater in abundance in both cell lines included solute transporters, propionyl CoA carboxylase, and fatty acid binding protein 3. Relative to BSA, 1P:0L increased cell death and increased ¹³C flux to citrate but decreased enrichment of succinate. Abundance of citrate synthase, aconitase, glutamine aminotransferases, and succinyl CoA synthetases was greater in 1P:0L, but not different in other pretreatments. Results indicate preferential utilization of pyruvate and amino acids by 1P:0L cells whereas 0P:1L treated cells show preference for α-linolenic acid metabolism. PC regulates metabolic flux, C18:3n - 3 cis prevents lipotoxicity, and both alterations in PC and the addition of C18:3n - 3 cis promote oxidation of fatty acids.NEW & NOTEWORTHY PC overexpression increases the capacity for fatty acid oxidation, whereas PC knockdown requires extracellular amino acids to support TCA cycle intermediates. Cells incubated in palmitic acid demonstrated dependency of pyruvate and amino acids as substrates for the TCA cycle. Exposure to α-linolenic acid reduces the dependency of pyruvate as a substrate likely because carbon from α-linolenic acid can be used to supply TCA cycle intermediates whereas palmitic acid carbon is not used.

Guillain-Barré syndrome (GBS) and cardiovascular diseases (CVDs) have been observed to have a potential association, with GBS potentially leading to cardiovascular complications. However, these observational studies may be influenced by confounding factors. This study aimed to assess the causal relationship between GBS and CVDs, including heart failure (HF), atrial fibrillation (AF), and coronary artery disease (CAD), using a two-sample bidirectional Mendelian randomization (MR) analysis. We analyzed four datasets from the UK Biobank, selecting only datasets of European origin according to predetermined criteria to avoid population stratification bias. Datasets for GBS and CVDs were retrieved from the UK Biobank and analyzed using selected instrumental variables (IVs) related to genetic variations. Sensitivity tests, including heterogeneity and horizontal pleiotropy tests, were conducted to ensure the reliability of the selected IVs. The analysis results were then visualized to illustrate the causal relationships. The study identified genetic variants as IVs for both GBS and CVDs. MR analysis revealed a significant causal effect of GBS on the increased risk of HF [inverse-variance weighted (IVW), P < 0.05], but no significant causal relationship was found between GBS and AF or CAD. Similarly, no causal effect of CVDs on the occurrence of GBS was observed. Sensitivity analyses indicated no significant heterogeneity or horizontal pleiotropy, supporting the robustness of the results. These findings underscore the importance of considering cardiovascular complications, particularly HF, in the clinical management of patients with GBS in European populations.NEW & NOTEWORTHY This study utilizes bidirectional Mendelian randomization to analyze the causal relationships between Guillain-Barré syndrome (GBS) and cardiovascular diseases (CVDs). It uniquely demonstrates a significant causal link from GBS to an increased risk of heart failure (HF), without similar effects on atrial fibrillation (AF) or coronary artery disease (CAD). No reverse causality from CVDs to GBS was found, highlighting the need for targeted cardiovascular management in patients with GBS.

The regulation of oxygen homeostasis is critical in physiology and disease pathogenesis. High-altitude environment or hypoxia (lack of oxygen) can lead to adverse health conditions such as high-altitude pulmonary edema (HAPE) despite initial adaptive physiological responses. Studying genetic, hematological and biochemical, and the physiological outcomes of hypoxia together could yield a comprehensive understanding and potentially uncover valuable biomarkers for predicting responses. To this end, healthy individuals (n = 51) were recruited and exposed to graded normobaric hypoxia. Physiological parameters such as heart rate (HR), heart rate variability (HRV), oxygen saturation (Spo₂), and blood pressure (BP) were constantly monitored, and a blood sample was collected before and after the hypoxia exposure for the hematological and gene-expression profiles. HR was elevated, and Spo₂ and HRV were significantly reduced in a fraction of inspired oxygen ([Formula: see text])-dependent manner. After exposure to hypoxia, there was a minimal decrease in HCT, red blood cell distribution width (RDW)-coefficient of variation (CV), mean platelet volume (MPV), platelet distribution width, plateletcrit, eosinophils, lymphocytes, and HDL cholesterol. Additionally, there was a marginal increase observed in neutrophils. The effect of hypoxia was further assessed at the genome-wide expression level in a subset of individuals. Eighty-two genes significantly differed after hypoxia exposure, with 46 upregulated genes and 36 downregulated genes (P ≤ 0.05 and log₂-fold change greater than ±0.5). We also conducted an integrative analysis of global gene expression profiles linked with physiological parameters, and we uncovered numerous reliable gene signatures associated with BP, Spo₂, HR, and HRV in response to graded normobaric hypoxia.NEW & NOTEWORTHY Our study delves into the multifaceted response to hypoxia, integrating gene expression and hematological, biochemical, and physiological assessments. Hypoxia, crucial in both physiology and pathology, prompts varied responses, necessitating a thorough systemic understanding. Examining healthy subjects exposed to graded normobaric hypoxia, we observed significant shifts in heart rate, oxygen saturation, and heart rate variability. Moreover, genomic analysis unveiled distinct gene signatures associated with physiological parameters, offering insights into molecular perturbations and adaptations to oxygen deprivation.

This study investigates the molecular responses to heatstroke in young and old patients by comparing whole-genome transcriptomes between age groups. We analyzed transcriptomic profiles from patients categorized into two age-defined cohorts: young (mean age = 44.9 ± 6 yr) and old (mean age = 66.1 ± 4 yr). Control subjects, exposed to similar environmental heat conditions but without developing heatstroke, were also included in the analysis to provide a baseline for comparison. Despite uniform heatstroke severity at admission, as indicated by core body temperature, consciousness level, and organ damage markers, notable gene expression differences emerged. Old patients showed 37% fewer differentially expressed genes compared with young patients at admission, with a shift toward gene upregulation, deviating from the usual downregulation seen in heat stress responses. Both age groups exhibited increased heat shock protein gene expression, activated the heat stress, and unfolded protein responses indicating comparable proteotoxic stress. Nonetheless, age-specific differences were evident in critical regulatory pathways like Sirtuin, mTOR, and p53 signaling, along with key pathways related to proteostasis, energy metabolism, oxidative stress, and immune responses. Following cooling, older adults exhibited a decline in the heat stress response and a cessation of the unfolded protein response, in contrast to the sustained responses seen in younger individuals. This pattern suggests an age-related adaptability or a diminished protective response capacity with aging. These findings provide insights into the biological mechanisms that may contribute to age-specific vulnerabilities to heat.NEW & NOTEWORTHY Our study reveals distinct molecular responses to heatstroke across age groups, with older adults showing fewer differentially expressed genes and an atypical pattern of gene upregulation, contrasting with the downregulation in usual heat stress responses. It also uncovers a reduced heat stress response and an abbreviated unfolded protein response in older adults, likely impairing their cellular repair mechanisms. This contributes to increased vulnerability during severe heat waves, underscoring the urgent need for age-specific interventions.

We examined the effects of a 20-wk exercise intervention on whole blood genome-wide DNA methylation signature and its association with the exercise-induced changes in gene expression profiles in boys and girls with overweight/obesity (OW/OB). Twenty-three children (10.05 ± 1.39 yr, 56% girls) with OW/OB were randomized to either a 20-wk exercise intervention [exercise group (EG); n = 10; 4 boys/6 girls] or to usual lifestyle [control group (CG); n = 13; 6 boys/7 girls]. Whole blood genome-wide methylome (CpG sites) analysis using Infinium Methylation EPIC array and transcriptome analysis using RNA-seq (STRT2 protocol) were performed. Exercise-induced modifications in DNA methylation at 485 and 386 CpGs sites in boys and girls, respectively. These CpG sites are mapped to loci enriched in distinct gene pathways related to metabolic diseases, fatty acid metabolism, and immune function. In boys, changes in the DNA methylation of 87 CpG sites (18% of the 485 CpGs sites altered by exercise) were associated with changes in the gene expression levels of 51 genes also regulated by exercise. Among girls, changes in DNA methylation at 46 CpG sites (12% of the initial 386 significant CpGs) were associated with changes in the expression levels of 30 exercise-affected genes. Genes affected by exercise that were associated with DNA methylation are related to obesity, metabolic syndrome, and inflammation. Multiomics analysis of whole blood samples from children with OW/OB suggests that gene expression response to exercise may be modulated by DNA methylation and involve gene pathways related to metabolism and immune functions.NEW & NOTEWORTHY This study pioneers the exploration into the effects of exercise on whole blood genome-wide DNA methylation patterns and its association with changes in transcriptome profiles in children with overweight/obesity. Exercise potentially impacts molecular pathways involved in metabolism and immune functions in children with overweight/obesity (sex-specific responses) through the modification of epigenetic and transcriptomic profiles. Our preliminary results provide initial steps to understand better the molecular mechanisms underlying cardiometabolic benefits of exercise in children with overweight/obesity.

The elusive function of myosin light chain 9 (MYL9) in cancer is an area ripe for further investigation. Bioinformatics was used to compare the expression levels of MYL9 in non-small-cell lung cancer (NSCLC) and normal tissues. Gene set enrichment analysis was used to investigate the pathways associated with MYL9. The BioGRID database was used to screen for potential targets of MYL9. The expression of MYL9 and myosin 19 (MYO19) mRNA was quantified using quantitative reverse transcriptase PCR. Cell migration was assessed using a scratch wound healing assay. The protein levels of MYL9, MYO19, and epithelial-mesenchymal transition (EMT) biomarkers were examined using Western blot (WB). Epithelial cell adhesion molecule (EpCAM) expression in different cell groups was profiled using flow cytometry analysis. Coimmunoprecipitation assays were performed to determine the binding affinity between MYL9 and MYO19. In addition, the direct protein interaction between MYL9 and MYO19 was explored using a glutathione-S-transferase (GST) pull-down assay. In NSCLC patients, MYL9 was significantly downregulated both in vivo and in cell cultures and had a high enrichment score in the EMT pathway. Scratch assays pointed to its inhibitory effect on cancer cell migration. WB showed that MYL9 could suppress EMT marker protein expression in NSCLC cells. Flow cytometry found that MYL9 greatly reduced the distribution of EpCAM on the cell surface. MYO19 was pinpointed as a potential target of MYL9, as confirmed by coimmunoprecipitation and GST pull-down assays. Rescue experiments confirmed that MYO19 could enhance cell migration, promote the expression of EMT markers, and increase EpCAM levels on the cell surface, but these effects were reserved by MYL9 overexpression. MYL9 impedes the migration and EMT in NSCLC cells by binding to MYO19.NEW & NOTEWORTHY Myosin light chain 9 (MYL9) is downregulated in non-small-cell lung cancer (NSCLC). MYL9 suppresses epithelial-mesenchymal transition (EMT) in NSCLC cells. MYL9 binds to myosin 19 (MYO19). MYL9/MYO19 signaling inhibits EMT in NSCLC.

The etiology of fetal growth restriction (FGR) is multifactorial, although many cases often involve placental insufficiency. Placental insufficiency is associated with inadequate trophoblast invasion, resulting in high resistance to blood flow, decreased availability of nutrients, and increased hypoxia. We have developed a nonviral, polymer-based nanoparticle that facilitates delivery and transient gene expression of human insulin-like 1 growth factor (hIGF1) in placental trophoblast for the treatment of placenta insufficiency and FGR. Using the established guinea pig maternal nutrient restriction (MNR) model of placental insufficiency and FGR, the aim of the study was to identify novel pathways in the subplacenta/decidua that provide insight into the underlying mechanism driving placental insufficiency and may be corrected with hIGF1 nanoparticle treatment. Pregnant guinea pigs underwent ultrasound-guided sham or hIGF1 nanoparticle treatment at midpregnancy, and subplacenta/decidua tissue was collected 5 days later. Transcriptome analysis was performed using RNA Sequencing on the Illumina platform. The MNR subplacenta/decidua demonstrated fewer maternal spiral arteries lined by trophoblast, shallower trophoblast invasion, and downregulation of genelists involved in the regulation of cell migration. hIGF1 nanoparticle treatment resulted in marked changes to transporter activity in the MNR + hIGF1 subplacenta/decidua when compared with sham MNR. Under normal growth conditions however, hIGF1 nanoparticle treatment decreased genelists enriched for kinase signaling pathways and increased genelists enriched for proteolysis, indicative of homeostasis. Overall, this study identified changes to the subplacenta/decidua transcriptome that likely result in inadequate trophoblast invasion and increases our understanding of pathways that hIGF1 nanoparticle treatment acts on to restore or maintain appropriate placenta function.NEW & NOTEWORTHY Placental insufficiency at midpregnancy, established through moderate maternal nutrient restriction, is characterized with fewer maternal spiral arteries lined by trophoblast, shallower trophoblast invasion, and downregulation of genelists involved in the regulation of cell migration. Treatment of placenta insufficiency with a hIGF1 nanoparticle results in marked changes to transporter activity and increases our mechanistic understanding of how therapies designed to improve fetal growth may impact the placenta.

Low carbohydrate availability during recovery from aerobic exercise alters skeletal muscle microRNA (miRNA) profiles, which may mechanistically regulate exercise recovery. However, its impact on circulating miRNA (c-miRNA) profiles remains unclear. This study aimed to determine the effects of low versus adequate carbohydrate availability on c-miRNA profiles during recovery from aerobic exercise. Nine males (22 ± 4 yr, 1.81 ± 0.09 m, 83.9 ± 11.9 kg, 25.7 ± 2.3 kg/m², means ± SD) completed this randomized, crossover study comprising two glycogen depletion trials, followed by 24 h of isocaloric refeeding to induce low (LOW; 1.5 g/kg carbohydrate, 3.0 g/kg fat) or adequate (AD; 6.0 g/kg carbohydrate, 1.0 g/kg fat) carbohydrate availability. Total c-miRNA was extracted from serum 24 h following glycogen depletion exercise. Data were log-transformed and analyzed as fold change relative to AD. Bioinformatics was conducted on significant c-miRNA and associated pathways (miRTarBase/KEGG). Follow-up transfection of miR-375-3p mimic or inhibitor into C2C12 cells assessed metabolic, inflammatory, and catabolic pathways at the gene and protein levels. Of the 84 miRNAs assessed, miR-335-5p (-0.49 ± 0.60; P = 0.04) and miR-375-3p (-1.57 ± 1.25; P = 0.01) were significantly lower, and miR-214-3p (1.76 ± 1.85; P = 0.02) was significantly higher in AD versus LOW. In vitro experiments indicated that miR-375-3p regulates catabolic pathways at the gene and protein level. Low carbohydrate availability alters c-miRNA profiles, particularly miR-375-3p, which targets proteostasis and metabolism 24 h into recovery from aerobic exercise. These findings identify unique c-miRNA targets as potential biomarkers for the mechanistic effects of low carbohydrate availability on exercise recovery.NEW & NOTEWORTHY Low carbohydrate consumption (LOW) 24 h in recovery from aerobic exercise elicits a distinct circulating miRNA profile compared with adequate carbohydrate consumption (AD). MicroRNA 375-3p was the most significantly different between the LOW and AD treatments. Follow-up in vitro experiments suggest that AD carbohydrate availability blunts catabolic signaling during postexercise recovery.

The purpose of this study was to elucidate the skeletal muscle transcriptomic response unique to rest duration during high-intensity interval exercise. Thoroughbred horses performed three 1-min bouts of exercise at their maximal oxygen uptake (10.7-12.5 m/s), separated by 15 min (long) or 2 min (short) walking at 1.7 m/s. Gluteus medius muscle was collected before and at 4 h after the exercise and used for RNA sequencing. We identified 1,756 and 1,421 differentially expressed genes in response to the long and short protocols, respectively, using DEseq2 analysis [false discovery rate (FDR) cutoff = 0.05, minimal fold change = 1.5]. The overall transcriptional response was partially aligned, with 43% (n = 949) of genes altered in both protocols, whereas no discordant directional changes were observed. K-means clustering and gene set enrichment analyses based on Gene Ontology biological process terms showed that genes associated with muscle adaptation and development were upregulated regardless of exercise conditions; genes related to immune and cytokine responses were more upregulated following the long protocol, and protein folding and temperature response were highly expressed after the short protocol. We found that 11 genes were upregulated to a greater extent by the short protocol and one was by the long protocol, with GNA13, SPART, PHAF1, and PTX3 identified as potential candidates for skeletal muscle remodeling. Our results suggest that altered metabolic fluctuations dependent on the intermittent pattern of interval exercise modulate skeletal muscle gene expression, and therefore, rest interval length could be an important consideration in optimizing skeletal muscle adaptation.NEW & NOTEWORTHY This is the first study to address the comparison of transcriptional responses to high-intensity interval exercise with two different rest periods in skeletal muscle. The expression of genes related to metabolic adaptations altered in both conditions, while genes associated with immune and cytokine responses and protein folding and temperature response were varied with the length of the rest period. These results provide evidence for rest duration-specific transcriptional response to high-intensity interval training.

Glioblastoma multiforme (GBM) is one of the most common and aggressive type of malignant glioma with an average survival time of 12-18 mo. Despite the utilization of extensive surgical resections using cutting-edge neuroimaging, and advanced chemotherapy and radiotherapy, the prognosis remains unfavorable. The heterogeneity of GBM and the presence of the blood-brain barrier further complicate the therapeutic process. It is crucial to adopt a multifaceted approach in GBM research to understand its biology and advance toward effective treatments. In particular, omics research, which primarily includes genomics, transcriptomics, proteomics, and epigenomics, helps us understand how GBM develops, finds biomarkers, and discovers new therapeutic targets. The availability of large-scale multiomics data requires the development of computational models to infer valuable biological insights for the implementation of precision medicine. Artificial intelligence (AI) refers to a host of computational algorithms that is becoming a major tool capable of integrating large omics databases. Although the application of AI tools in GBM-omics is currently in its early stages, a thorough exploration of AI utilization to uncover different aspects of GBM (subtype classification, prognosis, and survival) would have a significant impact on both researchers and clinicians. Here, we aim to review and provide database resources of different AI-based techniques that have been used to study GBM pathogenesis using multiomics data over the past decade. We summarize different types of GBM-related omics resources that can be used to develop AI models. Furthermore, we explore various AI tools that have been developed using either individual or integrated multiomics data, highlighting their applications and limitations in the context of advancing GBM research and treatment.