Search Results (91)

The integration of omics technologies, including genomics, proteomics, metabolomics, and microbiomics, has transformed sports science, particularly soccer, by providing new opportunities to optimize player performance, reduce injury risk, and enhance recovery. This systematic literature review was conducted in accordance with PRISMA 2020 guidelines and structured using the PICOS/PECOS framework. Comprehensive searches were performed in PubMed, Scopus, and Web of Science up to August 2025. Eligible studies were peer-reviewed original research involving professional or elite soccer players that applied at least one omics approach to outcomes related to performance, health, recovery, or injury prevention. Reviews, conference abstracts, editorials, and studies not involving soccer or omics technologies were excluded. A total of 139 studies met the inclusion criteria. Across the included studies, a total of 19,449 participants were analyzed. Genomic investigations identified numerous single-nucleotide polymorphisms (SNPs) spanning key biological pathways. Cardiovascular and vascular genes (e.g., ACE, AGT, NOS3, VEGF, ADRA2A, ADRB1–3) were associated with endurance, cardiovascular regulation, and recovery. Genes related to muscle structure, metabolism, and hypertrophy (e.g., ACTN3, CKM, MLCK, TRIM63, TTN-AS1, HIF1A, MSTN, MCT1, AMPD1) were linked to sprint performance, metabolic efficiency, and muscle injury susceptibility. Neurotransmission-related genes (BDNF, COMT, DRD1–3, DBH, SLC6A4, HTR2A, APOE) influenced motivation, fatigue, cognitive performance, and brain injury recovery. Connective tissue and extracellular matrix genes (COL1A1, COL1A2, COL2A1, COL5A1, COL12A1, COL22A1, ELN, EMILIN1, TNC, MMP3, GEFT, LIF, HGF) were implicated in ligament, tendon, and muscle injury risk. Energy metabolism and mitochondrial function genes (PPARA, PPARG, PPARD, PPARGC1A, UCP1–3, FTO, TFAM) shaped endurance capacity, substrate utilization, and body composition. Oxidative stress and detoxification pathways (GSTM1, GSTP1, GSTT1, NRF2) influenced recovery and resilience, while bone-related variants (VDR, P2RX7, RANK/RANKL/OPG) were associated with bone density and remodeling. Beyond genomics, proteomics identified markers of muscle damage and repair, metabolomics characterized fatigue- and energy-related signatures, and microbiomics revealed links between gut microbial diversity, recovery, and physiological resilience. Evidence from omics research in soccer supports the potential for individualized approaches to training, nutrition, recovery, and injury prevention. By integrating genomics, proteomics, metabolomics, and microbiomics data, clubs and sports practitioners may design precision strategies tailored to each player’s biological profile. Future research should expand on multi-omics integration, explore gene–environment interactions, and improve representation across sexes, age groups, and competitive levels to advance precision sports medicine in soccer. Full article

Molting is a critical physiological process for the growth and development of Eriocheir sinensis. Any disruption in this process can significantly affect both survival rates and crab quality. The regulatory mechanisms of molting vary across different stages of the molting cycle and remain poorly understood. In this study, ATAC-seq and RNA-seq were combined to identify the integrated differentially expressed genes (IDEGs) in muscle across adjacent stages of the molting cycle. A total of 17, 491, 84, and 491 IDEGs were identified in the comparisons of inter-molt_vs_pre-molt, pre-molt_vs_molt, molt_vs_post-molt, and post-molt_vs_inter-molt stages, respectively. GO enrichment analysis of these IDEGs revealed several key signaling pathways involved in each adjacent molting stage. The GPCR signaling, steroid hormone-mediated signaling, and smoothened signaling pathways were all active across three molting transitions (pre-molt_vs_molt, molt_vs_post-molt, and post-molt_vs_inter-molt). Among them, the GPCR pathway played a dominant role throughout the process. Further structural analysis and RT-qPCR validation identified eight GPCRs involved in molting regulation: GRM7 and moody were specific to the post-molt_vs_inter-molt stage; Kpna6, ADRB2, and SSTR2 were unique to the pre-molt_vs_molt stage; FMRFaR and gpr161 functioned in both post-molt_vs_inter-molt and pre-molt_vs_molt stages; and mth2 was active in both post-molt_vs_inter-molt and molt_vs_post-molt stages. These findings improve the understanding of molting regulation and provide potential targets for further genetic improvement in E. sinensis. Full article

β-blockers (BBs) remain a cornerstone therapy for cardiovascular disorders, reducing heart rate, blood pressure, and arrhythmia risk. Yet, their influence extends well beyond the heart, impacting renal function, inflammatory responses, metabolism, and endocrine balance. Although cardio-selective BBs are designed to minimize off-target effects, they still modulate immune signaling and hormonal pathways, producing paradoxical outcomes. Suppression of sympathetic tone and RAAS activity underpins therapeutic benefit but may also contribute to renal hypoperfusion, electrolyte imbalance, and pro-inflammatory changes, especially in patients receiving combination therapy with RAAS inhibitors or diuretics. Genetic polymorphisms (e.g., ADRB1, GRK5, eNOS, CYP2D6) and comorbidities further shape individual responses. This review integrates cardiovascular, renal, and immune perspectives to map the pathways by which BBs influence systemic homeostasis, highlighting cytokine interactions and disease-specific remodeling. We emphasize the need for personalized, biomarker-guided strategies, leveraging pharmacogenomics, multi-omics, and machine learning tools to optimize BB selection and dosing. By reframing BBs as dynamic modulators of the cardio-renal-immune axis, this review advances their role in precision cardiovascular medicine. Full article

Osteoporosis is a multifactorial disease, the pathogenesis of which is caused by a complex interaction of genetic, hormonal, and metabolic factors. The challenges of early diagnosis highlight the need to identify genetic predictors to prevent bone mineral density (BMD) loss. Given the critical role of G-protein-coupled receptors (GPCRs) in bone development and remodeling, we investigated osteoporosis-associated single-nucleotide polymorphisms (SNPs) within GPCR genes using next-generation sequencing of patient cohorts. Subsequent screening via Sanger sequencing identified three SNPs for further analysis: rs1991517 in the thyroid-stimulating hormone receptor gene (TSHR), rs6166 in the follicle-stimulating hormone receptor gene (FSHR), and rs1042713 in the β2-adrenergic receptor gene (ADRB2). Our results reveal a significant association between osteoporosis and a specific homozygous genotype combination (TSHR rs1991517 CC, FSHR rs6166 AA, and ADRB2 rs1042713 AA). The functional impairment in osteodifferentiation was further validated in patient-derived cell lines harboring this triple-SNP combination. Thus, this study is the first to identify a specific combination of GPCR gene polymorphisms that may serve as a predictive biomarker for osteoporosis in early genetic screening. Full article

Athletic performance results from complex interactions between genetic and environmental factors. This review compiles and synthesizes available literature on polymorphic genes associated with endurance, power, and strength performance, as well as their links to injury susceptibility and chronic metabolic diseases. Endurance performance is modulated by ACE, PPARGC1A, HFE, UCP2, UCP3, CDKN1A, and PPARA, regulating mitochondrial biogenesis, oxygen utilization, and muscle fiber composition. Power performance involves ACTN3, MCT1, IGF1, AMPD1, AGT, and AGTR2, affecting anaerobic metabolism, lactate clearance, and fast-twitch fiber recruitment. Strength performance is influenced by AR, PPARG, ARK2N, MMS22L, LRPPRC, PHACTR1, and MTHFR, related to androgen signaling, muscle hypertrophy, and recovery. Injury-related genes (COL1A1, COL5A1, IL6, VEGFA, NOG) and metabolic risk genes (FTO, PPARG, ADRB3) further highlight the clinical relevance of genomics. Collectively, these insights support the application of genetic information to personalize training, enhance performance, prevent injuries, and guide exercise interventions to mitigate metabolic disease risk. Full article

Background/Objectives: Gastrointestinal nematode infections represent a major constraint to sheep production globally, with widespread drug resistance requiring alternative control strategies. Methods: This systematic review combined genome-wide association study findings to understand the genetic basis underlying parasite resistance traits in sheep. Following PRISMA guidelines, we identified 22 studies including 28,033 samples from 32 breeds across 11 countries, extracting 1580 candidate genes associated with resistance traits, including fecal egg count, packed cell volume, and immunoglobulin levels. Gene prioritization analysis using ToppGene identified 75 high-confidence candidate genes. Results: Functional enrichment analysis revealed significant involvement of the JAK-STAT signaling pathway, inflammatory response processes, and immune-related biological functions. Protein–protein interaction network analysis identified nine key hub genes: TNF, STAT3, STAT5A, PDGFB, ADRB2, MAPT, ITGB3, SMO, and GH1. The JAK-STAT pathway emerged as particularly important, with multiple core genes involved in cytokine signaling and immune cell development. These findings demonstrate that parasite resistance involves complex interactions between inflammatory responses, immune signaling networks, and metabolic processes. Conclusions: This comprehensive genetic framework provides essential insights for developing genomic selection strategies and marker-assisted breeding programs to enhance natural parasite resistance in sheep, offering a sustainable approach to reducing drug dependence and improving animal welfare in global sheep production systems. Full article

The response of the hypothalamic–pituitary–thyroid (HPT) axis to energy demands is perturbed by previous chronic stress perceived during the neonatal or adult periods. We examined the effects of chronic variable stress (CVS) during adolescence on the responses of the HPT axis and target tissues of adult rats to 14 days of voluntary wheel running (Ex) or pair-feeding (PF) to match the reduced food intake of exercised rats. CVS increased the expression of Gr in the paraventricular nucleus (PVN) and of Npy in the mediobasal hypothalamus (MBH) in males; serum corticosterone concentration increased (1.5×), MBH Dio2 and PVN Trh decreased (40%) in both sexes, serum fT4 increased only in males, while T3 and fT3 increased (2×) in females. Exercise decreased Cort and increased PVN Trh expression only in males. In both sexes, it increased MBH Pomc and Dio2 (2×), skeletal muscle Dio2 and Pgc1a (2×), inguinal and perigonadal white adipose tissue (WAT) Adrb3, Dio2, Pparg, Hsl (1.5×), and brown adipose tissue Adrb3, Dio2, and Ucp1. All exercise-induced changes were repressed in CVS-Ex, except Hsl in inguinal WAT of both sexes, or BAT Dio2 in females, which, in contrast, was stimulated (1.5×). PF had lower values than sedentary in most parameters. These results support the idea that adolescent stress affects adult metabolic and neuroendocrine responses to exercise in a sex-specific manner. Full article

This study aims to elucidate the active components and underlying molecular mechanisms by which the ethanol-water extract of Cinnamomum migao H.W. Li (MG-EWE) inhibits cardiac fibroblast (CF) transdifferentiation and IL-6 production, providing insights into its anti-myocardial fibrosis effects. The chemical composition of MG-EWE was characterized using UPLC-Q-TOF-MS. Network pharmacology analysis identified active constituents and their mechanisms in inhibiting IL-6 production in CFs. An isoproterenol (ISO)-induced rat CF model was established to evaluate the effects of MG-EWE and its main monomers, Laurolitsine and Hecogenin, on cell proliferation, migration, collagen metabolism, IL-6 production, and key proteins in the ADRB2/JNK signaling pathway. A total of 173 compounds were identified in MG-EWE, with 14 core constituents regulating IL-6 synthesis via 16 key targets, including ADRB2 and MAPK9. Gene Ontology enrichment indicated that MG-EWE affects phosphorylation and the JNK signaling cascade. Molecular docking showed strong binding affinities between Laurolitsine, Hecogenin, and their targets ADRB2 and JNK. Experimentally, MG-EWE, Laurolitsine, and Hecogenin significantly inhibited ISO-induced CF proliferation, migration, and hydroxyproline synthesis, as well as the expression of p-ADRB2, p-JNK, p-c-Jun, and IL-6. MG-EWE inhibits CF transdifferentiation and IL-6 production via the ADRB2/JNK/c-Jun signaling axis, mediated by its constituents Laurolitsine and Hecogenin, highlighting its potential for drug development targeting myocardial fibrosis. Full article

Breast cancer (BC) is associated with multiple molecular factors such as overexpression of the beta-2 adrenergic receptor (ADRB2) and the overproduction of its agonists (norepinephrine and epinephrine). The role of adrenergic signaling in BC highlights the therapeutic potential of non-selective beta-blockers (nsBBs) as inhibitors of well-established protumor signaling pathways related to ADRB2 and their possible affinity for other important protumoral receptors. Our aim was to identify how nsBBs currently prescribed may also interact with receptors other than ADRB2, which are related to the pathophysiology of BC, using bioinformatic intracellular pathway analysis (BIPA). Subsequently, the affinity of nsBBs for both ADRB2 and the targets identified by BIPA was evaluated. We found that, beyond ADRB2, both receptor tyrosine kinase 2 (ERBB2) and neuropeptide Y receptor (NPYR) are promising targets for nsBBs in the adjuvant treatment of BC, according to BIPA. Docking studies showed that the nsBB with the highest binding affinity (ΔG) was carvedilol (−10.5 kcal/mol), followed by propranolol (−8.5 kcal/mol). These in silico findings suggest previously unrecognized pharmacological mechanisms for nsBBs in the possible treatment for BC. Notably, differences in receptor affinity were observed among the nsBBs, with carvedilol exhibiting the strongest binding affinity values on ADRB2, ERBB2, and NPYR as biological targets against BC cells. These promising results require future experimental validation. Full article

β-adrenoreceptor (ADRB) ligands are actively used in the therapy of bronchopulmonary and cardiovascular diseases. When using these drugs, it is important to assess changes in ADRB content in different tissues. In most cases, the direct measurement of ADRB content in lung and heart cells is not possible. ADRB2 content in peripheral blood lymphocytes (or mononuclear cells) was shown to correlate with that in myocardial cells. It has been suggested that blood lymphocytes can be used to monitor ADRB content in solid organs. However, the estimation of ADRB1 content in myocardium from its content in peripheral lymphocytes is not possible due to the low content of ADRB1 in lymphocytes. In the present study, we performed simultaneous determination of ADRB1 and ADRB2 both in the total population of PBMCs and in isolated subpopulations of monocytes, T-lymphocytes, and NK-cells from 23 healthy donors using the modified radioligand method. The highest amount of ADRB2 was detected in NK cells, followed by PBMCs, monocytes, and T cells. The content of these receptors in all blood cell subpopulations was significantly correlated with each other, suggesting the possibility of using PBMCs to monitor ADRB2 in solid organs. For the first time, ADRB1 was detected in monocytes and NK cells. Full article

This study looked into the underlying mechanisms and causal relationship between alcoholic liver disease (ALD) and the blood metabolite uridine using a variety of analytical methods, such as Mendelian randomization and molecular dynamics simulations. We discovered uridine to be a possible hepatotoxic agent aggravating ALD by using Mendelian randomization (MR) analysis with genome-wide association study (GWAS) data from 1416 ALD cases and 217,376 controls, as well as with 1091 blood metabolites and 309 metabolite concentration ratios as exposure factors. According to network toxicology analysis, uridine interacts with important targets such as SRC, FYN, LYN, ADRB2, and GSK3B. The single-cell RNA sequencing analysis of ALD tissues revealed that SRC was upregulated in hepatocytes and activated hepatic stellate cells. Subsequently, we determined the stable binding between uridine and SRC through molecular docking and molecular dynamics simulation (RMSD = 1.5 ± 0.3 Å, binding energy < −5.0 kcal/mol). These targets were connected to tyrosine kinase activity, metabolic reprogramming, and GPCR signaling by Gene Ontology (GO) and KEGG studies. These findings elucidate uridine’s role in ALD progression via immunometabolic pathways, offering novel therapeutic targets for precision intervention. These findings highlight the necessity of systems biology frameworks in drug safety evaluation, particularly for metabolites with dual therapeutic and toxicological roles. Full article

Background: The treatment and management of atrial fibrillation poses substantial complexity. A delicate balance in the trade-off between the minimising risk of stroke without increasing the risk of bleeding through anticoagulant optimisations. Natural compounds are often associated with low-toxicity effects, and their effects on atrial fibrillation have yet to be fully understood. Whilst deep learning (a subtype of machine learning that uses multiple layers of artificial neural networks) methods may be useful for drug compound interaction and discovery analysis, graphical processing units (GPUs) are expensive and often required for deep learning. Furthermore, in limited-resource settings, such as low- and middle-income countries, such technology may not be easily available. Objectives: This study aims to discover the presence of any new therapeutic candidates from a large set of natural compounds that may support the future treatment and management of atrial fibrillation anywhere using a low-cost technique. The objective is to develop a deep learning approach under a low-resource setting where suitable high-performance NVIDIA graphics processing units (GPUs) are not available and to apply to atrial fibrillation as a case study. Methods: The primary training dataset is the MINER-DTI dataset from the BIOSNAP collection. It includes 13,741 DTI pairs from DrugBank, 4510 drug compounds, and 2181 protein targets. Deep cross-modal attention modelling was developed and applied. The Database of Useful Decoys (DUD-E) was used to fine-tune the model using contrastive learning. This application and evaluation of the model were performed on the natural compound NPASS 2018 dataset as well as a dataset curated by a clinical pharmacist and a clinical scientist. Results: the new model showed good performance when compared to existing state-of-the-art approaches under low-resource settings in both the validation set (PR AUC: 0.8118 vs. 0.7154) and test set (PR AUC: 0.8134 vs. 0.7206). Tenascin-C (TNC; NPC306696) and deferoxamine (NPC262615) were identified as strong natural compound interactors of the arrhythmogenic targets ADRB1 and HCN1, respectively. A strong natural compound interactor of the bleeding-related target Factor X was also identified as sequoiaflavone (NPC194593). Conclusions: This study presented a new high-performing model under low-resource settings that identified new natural therapeutic candidates for pharmacological cardioversion and anticoagulation. Full article

Obesity is defined as abnormal or excessive accumulation of body fat and contributes to several metabolic disorders. White adipose tissue (WAT) releases energy as free fatty acids and glycerol from triglycerides through a process called lipolysis. People with obesity have impaired catecholamine-stimulated lipolysis, but comprehensive understanding of this lipolysis is still unclear. We previously showed that expression of WW domain-containing E3 ubiquitin ligase 1 (WWP1), a member of the HECT-type E3 family of ubiquitin ligases, was increased in WAT of obese mice. In this study, we generated Wwp1 knockout (KO) mice to evaluate the effect of WWP1 in WAT of obese mice. The mRNA levels of beta-3 adrenergic receptor (Adrb3), which were decreased with a high-fat diet, were increased by Wwp1 KO in WAT. Moreover, Wwp1 KO mice showed increased phosphorylated hormone-sensitive lipase levels in WAT. In contrast, noradrenaline and its metabolism were not altered in WAT of obese Wwp1 KO mice. These findings indicate that WWP1, which is increased in adipocytes because of obesity, is a candidate for suppressing lipolysis independently of noradrenaline metabolism. We anticipate that inhibition of WWP1 is a promising approach for a new treatment of obesity and type-2 diabetes using Adrb3 agonists. Full article

Pain management in children remains a challenge. Postoperative pain assessment, which currently relies on behavioral and subjective scales, could be enhanced by the identification of single nucleotide polymorphisms effect on pain thresholds and opioid metabolism. This study explores the impact of nine SNPs—rs1799971, rs4680, rs4633, rs6269, rs4818 (with catechol-o-methyltransferase haplotypes), rs7832704, rs1801253, and rs1045642—on postoperative pain intensity, opioid requirements, coanalgesic use, C-reactive protein levels, and post-anesthesia care unit length of stay. This study involved 42 pediatric patients undergoing scoliosis correction surgery with postoperative sufentanil infusion. The genotyping was performed using real-time PCR with peripheral blood samples. Patients with the rs1801253 ADRB1 GG genotype showed significantly lower 24 h NRS pain ratings (p = 0.032) and lower sufentanil infusion rates at the level of statistical tendency (p = 0.093). Patients with the rs1205 CRP CT genotype had a shorter PACU length of stay (p = 0.012). In contrast, those with the rs1045642 ABCB1 GG genotype had a longer PACU stay by 0.72 h (p = 0.046). No significant associations were found for OPRM1 rs1799971, COMT, or ENPP2 SNPs. ADRB1 rs1801253may be a novel SNP indicating higher postoperative pain risk, while rs1205 CRP and rs1045642 ABCB1 could predict increased care requirements in PACUs. The ADRB1 rs1801253 SNP may also predict opioid demand. These results suggest SNPs should be considered in acute pain assessment. Full article

Background/Objectives: A systematic review was conducted to compile all the evidence on the impact of ADRB1 and ADRB2 genetic variants on the response to β-blockers, used for the management of cardiovascular diseases. Methods: After searching in PubMed, PharmGKB, and the Cochrane Central Register of Controlled Trials including terms related to these drugs, genes, and pathologies, 1182 articles were retrieved, 29 of which met the inclusion criteria. A β-adrenoreceptor (ADRB) blockade qualitative variable was inferred for all the associations between genetic variants and clinical phenotypes. Results: The relationship between ADRB1 rs1801253 (G>C) C allele and higher receptor blockade showed a moderate overall level of evidence, reaching a high level on its relationship with higher reduction in the systolic (SBP) and diastolic blood pressure and heart rate (HR). The relationship between ADRB1 rs1801252 (A>G) G allele and lower receptor blockade reached an overall high level of evidence, considering its impact on the reduction in the SBP, HR, left ventricular end-diastolic diameter, and incidence of major cardiovascular events. The relationship between ADRB2 rs1042714 (G>C) C allele and lower receptor blockade reached a moderate overall level of evidence due to its impact on HR, pulmonary wedge pressure, and left ventricular ejection fraction response. The ADRB2 rs1042713 (G>A) A allele was associated with higher receptor blockade and higher HR reduction with a low level of evidence. Conclusions: The genotyping of both ADRB1 variants may be clinically useful; further investigation is required on the relevance of both ADRB2 variants. Further research is warranted to determine the clinical usefulness of ADRB preemptive genotyping. Full article