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Tribulus terrestris extracts alleviate muscle damage and promote anaerobic performance of trained male boxers and its mechanisms: Roles of androgen, IGF-1, and IGF binding protein-3 被引量:2
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作者 Yiming Ma zhicheng guo Xiaohui Wang 《Journal of Sport and Health Science》 SCIE 2017年第4期474-481,共8页
Purpose: To investigate the effects of Tribulus terrestris(TT) extracts on muscle mass, muscle damage, and anaerobic performances of trained male boxers and its mechanisms: roles of plasma androgen, insulin growth fac... Purpose: To investigate the effects of Tribulus terrestris(TT) extracts on muscle mass, muscle damage, and anaerobic performances of trained male boxers and its mechanisms: roles of plasma androgen, insulin growth factor 1(IGF-1), and IGF-1 binding protein-3(IGFBP-3).Methods: Fifteen male boxers were divided into exercise group(E, n = 7) and exercise plus TT group(E + TT, n = 8). The 2 groups both undertook3-week high-intensity and 3-week high-volume trainings separated by a 4-week rest. TT extracts(1250 mg/day) were orally administered by boxers in E + TT group. TT extract compositions were detected by UHPLC–Q-TOF/MS. Before and at the end of the 2 trainings, muscle mass, anaerobic performance, and blood indicators were explored.Results: Compared with E group, decreases of plasma CK(1591.5 ± 909.6 U/L vs. 2719.9 ± 832.5 U/L) and IGFBP-3(3075.5 ± 1072.5 ng/m L vs. 3950.8 ± 479.3 ng/m L) as well as increases of mean power(MP, 459.4 ± 122.3 W vs. 434.6 ± 69.5 W) and MP/body weight(MP/BW, 7.5 ± 0.9 W/kg vs. 7.1 ± 1.1 W/kg) were detected in E + TT group after a high-intensity training. For high-volume training, reduction of IGFBP-3(2946.4 ± 974.1 ng/m L vs. 3632.7 ± 470.1 ng/m L) and increases of MP(508.7 ± 103.2 W vs. 477.8 ± 49.9 W) and MP/BW(8.2 ± 0.3 W/kg vs.7.5 ± 0.9 W/kg) were detected in E + TT group, compared with E group. Muscle mass, blood levels of testosterone, dihydrotestosterone(DHT),and IGF-1 were not signifiantly changed between the 2 groups.Conclusion: Taking 1250 mg capsules containing TT extracts did not change muscle mass and plasma levels of testosterone, DHT, and IGF-1 but significantly alleviated muscle damage and promoted anaerobic performance of trained male boxers, which may be related to the decrease of plasma IGFBP-3 rather than androgen in plasma. 展开更多
关键词 IGF binding protein-3 Insulin growth factor 1(IGF-1) Muscle damage PERFORMANCE Testosterone Tribulus terrestris
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Integrated Single-cell Multiomic Analysis of HIV Latency Reversal Reveals Novel Regulators of Viral Reactivation
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作者 Manickam Ashokkumar Wenwen Mei +9 位作者 Jackson J.Peterson Yuriko Harigaya David M.Murdoch David M.Margolis Caleb Kornfein Alex Oesterling zhicheng guo Cynthia D.Rudin Yuchao Jiang Edward P.Browne 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2024年第1期67-88,共22页
Despite the success of antiretroviral therapy,human immunodeficiency virus(HIV)cannot be cured because of a reservoir of latently infected cells that evades therapy.To understand the mechanisms of HIV latency,we emplo... Despite the success of antiretroviral therapy,human immunodeficiency virus(HIV)cannot be cured because of a reservoir of latently infected cells that evades therapy.To understand the mechanisms of HIV latency,we employed an integrated single-cell RNA sequencing(scRNA-seq)and single-cell assay for transposase-accessible chromatin with sequencing(scATAC-seq)approach to simultaneously profile the transcriptomic and epigenomic characteristics of~125,000 latently infected primary CD4^(+)T cells after reactivation using three different latency reversing agents.Differentially expressed genes and differentially accessible motifs were used to examine transcriptional pathways and transcription factor(TF)activities across the cell population.We identified cellular transcripts and TFs whose expression/activity was correlated with viral reactivation and demonstrated that a machine learning model trained on these data was 75%-79%accurate at predicting viral reactivation.Finally,we validated the role of two candidate HIV-regulating factors,FOXP1 and GATA3,in viral transcription.These data demonstrate the power of integrated multimodal single-cell analysis to uncover novel relationships between host cell factors and HIV latency. 展开更多
关键词 HIV latency reversal Primary CD4þT cell Single-cell multiomics HIV-regulating factor Machine learning
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