Frontiers in Physiology | New and Recent Articles https://www.frontiersin.org/journals/physiology RSS Feed for Frontiers in Physiology | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-10-05T10:23:56.394+00:00 60 https://www.frontiersin.org/articles/10.3389/fphys.2026.1823848 https://www.frontiersin.org/articles/10.3389/fphys.2026.1823848 <![CDATA[Heterologous contralateral repeated bout effect: eccentric knee extensor conditioning enhances neuromuscular fatigue resistance and attenuates muscle stiffness in contralateral elbow flexors in young women]]> 2026-10-05T00:00:00Z Original Research Chung-Chan HsiehSzu-Kai FuYu-Lin NingChin-Fang WangChe-Ming LiuChia-Hsien Yu https://www.frontiersin.org/articles/10.3389/fphys.2026.1775697 https://www.frontiersin.org/articles/10.3389/fphys.2026.1775697 <![CDATA[Fetal and neonatal outcomes of pregnancies complicated by maternal sleep-disordered breathing: a systematic review]]> 2026-10-05T00:00:00Z Systematic Review Mayu NiisakaJun HosomichiSakina MitsuishiShiho KinoTakashi Ono https://www.frontiersin.org/articles/10.3389/fphys.2026.1915589 https://www.frontiersin.org/articles/10.3389/fphys.2026.1915589 <![CDATA[Bilateral lower-limb asymmetry and phase-specific trunk acceleration during the Timed Up and Go in older women: an analysis based on muscle morphology and antagonist coactivation]]> 2026-10-02T00:00:00Z Original Research Danming XuHongqin XuXin ZhangMing LiXiangwei Meng https://www.frontiersin.org/articles/10.3389/fphys.2026.1874450 https://www.frontiersin.org/articles/10.3389/fphys.2026.1874450 <![CDATA[Clinical correlation of hemodynamic parameters using blood flow prediction model in cerebrovascular arteries]]> 2026-10-02T00:00:00Z Original Research Jun Yup KimWheesung LeeYoung-Lin YooDa Hyun LeeSi Un LeeBeom Joon KimJihoon KangChae-Yong KimTae-Rin LeeKihwan Hwang https://www.frontiersin.org/articles/10.3389/fphys.2026.1946447 https://www.frontiersin.org/articles/10.3389/fphys.2026.1946447 <![CDATA[The effects of core training on athletic performance (speed and jumping) in different sports: a meta-analysis]]> 2026-10-02T00:00:00Z Original Research İdris Kayantaş https://www.frontiersin.org/articles/10.3389/fphys.2026.2009113 https://www.frontiersin.org/articles/10.3389/fphys.2026.2009113 <![CDATA[Correction: Machine learning for enhancing the ablation outcomes using recurrence quantification analysis in human persistent atrial fibrillation]]> 2026-10-02T00:00:00Z Correction Noor N. QaqosFernando S. SchlindweinG. André NgXin Li https://www.frontiersin.org/articles/10.3389/fphys.2026.1909536 https://www.frontiersin.org/articles/10.3389/fphys.2026.1909536 <![CDATA[Cyclic stretch increases glucose uptake and pro-inflammatory response in rat alveolar epithelial type II cells]]> 2026-10-01T00:00:00Z Original Research Jorge M. C. FerreiraRobert HuhleSabine MüllerThea KochMarcelo Gama de Abreu https://www.frontiersin.org/articles/10.3389/fphys.2026.1973746 https://www.frontiersin.org/articles/10.3389/fphys.2026.1973746 <![CDATA[Endurance tests capture complementary dimensions of physical performance]]> 2026-10-01T00:00:00Z Original Research Petr KellnerMichal MašekJiří NeubauerMichal PoláchMichal PunčochářJiří Zháněl https://www.frontiersin.org/articles/10.3389/fphys.2026.1922718 https://www.frontiersin.org/articles/10.3389/fphys.2026.1922718 <![CDATA[Clinical, functional, and quality-of-life characteristics of women with comorbid fibromyalgia and irritable bowel syndrome and their associations with FIQR scores]]> 2026-10-01T00:00:00Z Original Research Antonella BiancoNicola VerrelliGiuseppe RiezzoGaetana LaselvaMarco GrassoIsabella FrancoLaura ProsperoBenedetta D’AttomaAntonia IgnazziMaria Noemy PastoreElisa GrazioliAttilio ParisiFrancesco Russo https://www.frontiersin.org/articles/10.3389/fphys.2026.1947412 https://www.frontiersin.org/articles/10.3389/fphys.2026.1947412 <![CDATA[Dose–response relationships between temporal variables of blood flow restriction exercise and physiological adaptations: a systematic review and meta-analysis]]> 2026-10-01T00:00:00Z Systematic Review Yuda LiYi WangSijie WangTong Zhou https://www.frontiersin.org/articles/10.3389/fphys.2026.1930250 https://www.frontiersin.org/articles/10.3389/fphys.2026.1930250 <![CDATA[Effects of pre-competition conditioning strategies on acute sport performance in high-level athletes: a systematic review and network meta-analysis]]> 2026-10-01T00:00:00Z Systematic Review Xueliang ChenHaixu Hu https://www.frontiersin.org/articles/10.3389/fphys.2026.1932608 https://www.frontiersin.org/articles/10.3389/fphys.2026.1932608 <![CDATA[Environmental exposures and intergenerational cardiovascular risk: epigenetic reprogramming via parental exercise]]> 2026-10-01T00:00:00Z Review Yuhang ZhengGuanfeng QinZijian LiXiaoying ZhuHaiwang ShiFulong Zhang https://www.frontiersin.org/articles/10.3389/fphys.2026.1920016 https://www.frontiersin.org/articles/10.3389/fphys.2026.1920016 <![CDATA[Serum metabolic signatures associated with running performance in healthy men living in a cold environment: insights into amino acid and energy metabolism]]> 2026-10-01T00:00:00Z Original Research Kexin FangLixia YuRuixin ZhuJingjing HeLiwei ZhangRan WangYiran ZhengTieqiang SunZhanxin YaoJie Guo 14 minutes 13 seconds, n = 65) groups. Fasting serum samples underwent untargeted ultra-performance liquid chromatography–tandem mass spectrometry profiling. Differentially abundant metabolites were identified using covariate-adjusted linear models implemented in the limma framework, with appendicular skeletal muscle mass index included as a continuous covariate. Differentially abundant metabolites were defined using a Benjamini–Hochberg FDR-adjusted P < 0.05 and |log2FC| > 0.25. Global metabolic profiles were explored using PCA and PLS-DA, followed by KEGG pathway enrichment analysis.ResultsA total of 141 males aged 28–40 years were included. After adjustment for ASMI, 10 differentially abundant metabolites were identified between the Good and Poor groups. Six metabolites showed higher adjusted abundances in the Good group, including cortisol (FDR = 0.031, log2FC = 0.321, 95% CI: 0.155 to 0.488), whereas four metabolites showed higher adjusted abundances in the Poor group, including glutamic acid (FDR = 0.013, log2FC = −0.262, 95% CI: −0.380 to −0.145). Nominally significant enrichment was observed for nitrogen metabolism (P value = 0.011), arginine biosynthesis (P value = 0.026), butanoate metabolism (P value = 0.028), and histidine metabolism (P value = 0.030); however, no pathway remained significant after FDR correction.ConclusionsDifferences in running performance were associated with distinct serum metabolic patterns involving amino-acid and nitrogen metabolism, phospholipid metabolism, and stress- and redox-associated metabolic processes. These findings may provide metabolic hypotheses on inter-individual differences in running performance and identify candidate metabolic pathways for further investigation.]]> https://www.frontiersin.org/articles/10.3389/fphys.2026.1953414 https://www.frontiersin.org/articles/10.3389/fphys.2026.1953414 <![CDATA[Stochastic dynamics of oxygen-hemoglobin binding: insight through facilitated exploration of an agent-based model]]> 2026-10-01T00:00:00Z Original Research David M. RubinAndrea Kolkenbeck-RuhXriz L. RichardsPenelope A. C. KeeneSvetlana M. KingAnn Z. George https://www.frontiersin.org/articles/10.3389/fphys.2026.1890190 https://www.frontiersin.org/articles/10.3389/fphys.2026.1890190 <![CDATA[End-tidal CO2 responses and ventilatory correlates during voluntary hyperventilation: a repeated-measures pilot study]]> 2026-09-30T00:00:00Z Original Research Liping WangLihao XueFenglin JiaHuibian ZhangLihua YuGuiYou WangZhao Gu https://www.frontiersin.org/articles/10.3389/fphys.2026.1940944 https://www.frontiersin.org/articles/10.3389/fphys.2026.1940944 <![CDATA[Do strategically demanding sports shape hand function alike? Distinct profiles of dexterity and grip strength in basketball and badminton athletes]]> 2026-09-30T00:00:00Z Original Research Xinpeng GaoJinlong HouChengzhe DuYanan GaoFei KongMing Li https://www.frontiersin.org/articles/10.3389/fphys.2026.1920214 https://www.frontiersin.org/articles/10.3389/fphys.2026.1920214 <![CDATA[Deployability of machine-learning prediction models in elite and high-level team sports: a task-specific systematic review]]> 2026-09-30T00:00:00Z Systematic Review Zhiyu GuanZicheng JinChuangui MaoWeiguo LiuJie Ren https://www.frontiersin.org/articles/10.3389/fphys.2026.1943228 https://www.frontiersin.org/articles/10.3389/fphys.2026.1943228 <![CDATA[Mechanisms of hamstring strain injuries in sprinting: an integrative scoping review of intrinsic, biomechanical and modifiable risk factors]]> 2026-09-30T00:00:00Z Systematic Review Junshuai ZhuShuaiwang HuangShuyuan LuoYelin ZengLan ZhengXiyang Peng https://www.frontiersin.org/articles/10.3389/fphys.2026.1914022 https://www.frontiersin.org/articles/10.3389/fphys.2026.1914022 <![CDATA[Ceramidase is involved in metabolic reprogramming of fibroblasts under hypoxia conditions]]> 2026-09-30T00:00:00Z Original Research Michela TerlizziEmmanuel D’AndriaChiara ColarussoSimone Di CaprioAnna FalangaMaria Rosaria LauroRosario SalviRosalinda Sorrentino https://www.frontiersin.org/articles/10.3389/fphys.2026.1939874 https://www.frontiersin.org/articles/10.3389/fphys.2026.1939874 <![CDATA[Prediction of acute mountain sickness from overnight pulse oximetry during ascent to Everest Base Camp: a field-based machine learning study]]> 2026-09-30T00:00:00Z Original Research Helen AbbottLuke R. CuttsBen StanleySuniya KansakarSophie E. BroughtonTaea ScottSam DavisSarah ClarkeTim ClarkCiaran SimpkinsJohnathan GovesEwein HowesKyle T. PattinsonAdrian GarciaWilliam TrenderArthur R. BradwellSantosh BaniyaMark EdsellKimberly AshdownKelsey E. Joyce