Physiological genomics最新文献

We examined the effects of a 20-week 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 years, 56% girls) with OW/OB, were randomized to either a 20-week 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 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. Multi-omics 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.

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.

This study investigates the molecular responses to heat stroke 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 years) and old (mean age = 66.1 ± 4 years). Control subjects, exposed to similar environmental heat conditions but without developing heat stroke, were also included in the analysis to provide a baseline for comparison. Despite uniform heat stroke 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 to young patients at admission, with a shift towards 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.

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 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 haematological and gene-expression profiles. HR was elevated, and SpO₂ and HRV were significantly reduced in a FiO₂-dependent manner. After exposure to hypoxia, there was a minimal decrease in HCT, RDW-CV, 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. 82 genes significantly differed after hypoxia exposure, with 46 up-regulated genes and 36 down-regulated genes (p ≤ 0.05 and log₂ fold change > ± 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.

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. Purpose: This study aimed to determine the effects of low versus adequate carbohydrate availability on c-miRNA profiles during recovery from aerobic exercise. Methods: Nine males (22±4yrs, 1.81±0.09m, 83.9±11.9kg, 25.7±2.3kg/m², mean±SD) completed this randomized, crossover study consisting of two glycogen depletion trials, followed by 24 hours 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 were extracted from serum 24 hours following glycogen depletion exercise. Data were log transformed and analyzed as fold change relative to AD. Bioinformatics were 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. Results: Of the 84 miRNA 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. Conclusion: Low carbohydrate availability alters c-miRNA profiles, particularly miR-375-3p, which targets proteostasis and metabolism 24 hours 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.

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.

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.

The impact of exercise on pediatric tumor biology is essentially unknown. We explored the effects of regular exercise on tumor proteome profile (as assessed with liquid chromatography with tandem mass spectrometry) in a mouse model of one of the most aggressive childhood malignancies, high-risk neuroblastoma (HR-NB). Tumor samples of 14 male mice (aged 6-8 wk) that were randomly allocated into an exercise (5-wk combined aerobic and resistance training) or nonexercise control group (6 and 8 mice/group, respectively) were analyzed. The Search Tool for the Retrieval of Interacting Genes/Proteins database was used to generate a protein-protein interaction (PPI) network and enrichment analyses. The Systems Biology Triangle (SBT) algorithm was applied for analyses at the functional category level. Tumors of exercised mice showed a higher and lower abundance of 101 and 150 proteins, respectively, than controls [false discovery rate (FDR) < 0.05]. These proteins were enriched in metabolic pathways, amino acid metabolism, regulation of hormone levels, and peroxisome proliferator-activated receptor signaling (FDR < 0.05). The SBT algorithm indicated that 184 and 126 categories showed a lower and higher abundance, respectively, in the tumors of exercised mice (FDR < 0.01). Categories with lower abundance were involved in energy production, whereas those with higher abundance were related to transcription/translation, apoptosis, and tumor suppression. Regular exercise altered the abundance of hundreds of intratumoral proteins and molecular pathways, particularly those involved in energy metabolism, apoptosis, and tumor suppression. These findings provide preliminary evidence of the molecular mechanisms underlying the potential effects of exercise in HR-NB.NEW & NOTEWORTHY We used liquid chromatography with tandem mass spectrometry to explore the impact of a 5-wk exercise intervention on the tumor proteome profile in a mouse model of one of the most aggressive childhood malignancies, high-risk neuroblastoma. Exercise altered the abundance of hundreds of proteins and pathways, particularly those involved in energy metabolism and tumor suppression. These molecular changes could mediate, at least partly, the potential antitumorigenic effects of exercise.

This study intended to analyze the effects of body weight control by the diet, training adaptation, and gut microbiota metabolites of wrestlers in the week leading up to competition. According to the weight difference of wrestlers from the target weight 1 wk before the competition, those whose weight control effectiveness is less than 2 kg were classified as the CW group, whereas more than 2 kg were classified as the CnW group. The body weight, body composition, and diet of wrestlers were recorded; urine samples were taken for standard urine testing, and stool samples were collected for the analysis of gut microbiota and metabolites. The data showed that the relative values of carbohydrate and fat energy in the CnW group were significantly higher than those of the CW group, but the relative values of protein energy were significantly lower. The white blood cells, occult blood, and protein appeared in urine in the CnW group. The microbiota with higher abundance values in the CnW group were positively correlated with the relative value of carbohydrate energy, while the abundance value of Streptococcus was negatively correlated, and the functional prediction of differential bacteria was related to riboflavin and selencompound metabolism. The differential metabolites of CW/CnW group were functionally enriched in the processes of lipid and amino acid metabolism. Overall, the extent of weight control in wrestlers was correlated with sensible dietary patterns, adaptability to training load, and distinct gut microbiota and metabolites.NEW & NOTEWORTHY The purpose of this study is to observe the differences in precompetition diet structure, adaptability to training, gut microbiota, and metabolites of wrestlers with different weight control effects and analyze the correlation between them, aiming to provide scientific guidance and advice on weight control for wrestlers.