Thinopyrum ponticum and Th. intermedium provide superior resistance against various diseases in wheat （Ttricum aestivum）. Because of their readily crossing with wheat, many genes for disease resistance have been int...Thinopyrum ponticum and Th. intermedium provide superior resistance against various diseases in wheat （Ttricum aestivum）. Because of their readily crossing with wheat, many genes for disease resistance have been introduced from the wheatgrasses into wheat. Genes for resistance to leaf rust, stem rust, powdery mildew, Barley yellow dwarf virus, Wheat streak mosaic virus, and its vector, the wheat curl mite, have been transferred into wheat by producing chromosome translocations. These genes offer an opportunity to improve resistance of wheat to the diseases; some of them have been extensively used in protecting wheat from damage of the diseases. Moreover, new resistance to diseases is continuously detected in the progenies of wheat-Thinopyrum derivatives. The present article summaries characterization and application of the genes for fungal and viral disease-resistance derived from Th. ponticum and Th. intermedium.展开更多
卵巢衰老分为生理性与病理性两类,表现为卵巢储备功能下降、卵泡数量减少和激素水平紊乱,并与多种慢性疾病风险相关。研究发现,免疫失衡在卵巢衰老中扮演核心角色,尤其是辅助性T细胞17(helper T cell 17,Th17细胞)与调节性T细胞(regulat...卵巢衰老分为生理性与病理性两类,表现为卵巢储备功能下降、卵泡数量减少和激素水平紊乱,并与多种慢性疾病风险相关。研究发现,免疫失衡在卵巢衰老中扮演核心角色,尤其是辅助性T细胞17(helper T cell 17,Th17细胞)与调节性T细胞(regulatory T cell,Treg细胞)的比例失调。Th17/Treg平衡受炎症因子、核因子κB(nuclear factor-κB,NF-κB)通路及哺乳动物雷帕霉素靶蛋白(mammalian target of rapamycin,mTOR)通路的精密调控,其失衡会加剧卵巢局部炎症,加速卵泡耗竭。目前,针对Th17/Treg比例失衡的干预策略在自身免疫性疾病的治疗中已取得进展,为卵巢衰老的临床干预提供了新思路。综述Th17/Treg比例失衡在卵巢衰老中的核心作用,为探索延缓卵巢衰老的免疫治疗策略提供了理论依据。展开更多
Objective Sepsis patients exhibit diverse immune states,making it crucial to identify subtypes with distinct inflammatory profiles through Th1/Th2 cytokine data for personalized treatment and improved prognosis.Method...Objective Sepsis patients exhibit diverse immune states,making it crucial to identify subtypes with distinct inflammatory profiles through Th1/Th2 cytokine data for personalized treatment and improved prognosis.Methods We retrieved data from sepsis patients who underwent Th1/Th2 cytokine testing in Nanfang Hospital,Southern Medical University from June 1,2020,to February 1,2022.An unsupervised K-means clustering method classified participants based on Th1/Th2 cytokine levels,with the primary outcome being the 7-day mortality rate post-ICU admission.Cox proportional hazards and Restricted Mean Survival Time(RMST)analyses were utilized to explore survival outcomes.Results A total of 321 sepsis patients were included.IL-6(HR 1.69,95%CI:1.22,2.34)and IL-10(HR 1.81,95%CI:1.37,2.40)emerged as independent predictors of 7-day mortality.Unsupervised K-means clustering revealed 3 inflammatory/immune subgroups:Cluster 1(n=166,low inflammatory response),Cluster 2(n=99,moderate inflammatory response with immune suppression),and Cluster 3(n=56,strong inflammatory and immune suppression).Compared to Cluster 1,Clusters 2 and 3 had higher 7-day mortality risks(14.4%vs 23.2%,HR=4.30,95%CI:1.51-12.26;14.4%vs 35.7%,HR=7.32,95%CI:2.57-20.79).Conclusion Septic patients in a protective immune response state(Cluster 1)exhibit better short-term prognoses,suggesting the importance of understanding inflammatory/immune states for precise treatment and improved outcomes.展开更多
基金supported by the Ministry of Agriculture of China (No. NB08-2130135-(25-30)-21)
文摘Thinopyrum ponticum and Th. intermedium provide superior resistance against various diseases in wheat （Ttricum aestivum）. Because of their readily crossing with wheat, many genes for disease resistance have been introduced from the wheatgrasses into wheat. Genes for resistance to leaf rust, stem rust, powdery mildew, Barley yellow dwarf virus, Wheat streak mosaic virus, and its vector, the wheat curl mite, have been transferred into wheat by producing chromosome translocations. These genes offer an opportunity to improve resistance of wheat to the diseases; some of them have been extensively used in protecting wheat from damage of the diseases. Moreover, new resistance to diseases is continuously detected in the progenies of wheat-Thinopyrum derivatives. The present article summaries characterization and application of the genes for fungal and viral disease-resistance derived from Th. ponticum and Th. intermedium.
文摘卵巢衰老分为生理性与病理性两类,表现为卵巢储备功能下降、卵泡数量减少和激素水平紊乱,并与多种慢性疾病风险相关。研究发现,免疫失衡在卵巢衰老中扮演核心角色,尤其是辅助性T细胞17(helper T cell 17,Th17细胞)与调节性T细胞(regulatory T cell,Treg细胞)的比例失调。Th17/Treg平衡受炎症因子、核因子κB(nuclear factor-κB,NF-κB)通路及哺乳动物雷帕霉素靶蛋白(mammalian target of rapamycin,mTOR)通路的精密调控,其失衡会加剧卵巢局部炎症,加速卵泡耗竭。目前,针对Th17/Treg比例失衡的干预策略在自身免疫性疾病的治疗中已取得进展,为卵巢衰老的临床干预提供了新思路。综述Th17/Treg比例失衡在卵巢衰老中的核心作用,为探索延缓卵巢衰老的免疫治疗策略提供了理论依据。
文摘Objective Sepsis patients exhibit diverse immune states,making it crucial to identify subtypes with distinct inflammatory profiles through Th1/Th2 cytokine data for personalized treatment and improved prognosis.Methods We retrieved data from sepsis patients who underwent Th1/Th2 cytokine testing in Nanfang Hospital,Southern Medical University from June 1,2020,to February 1,2022.An unsupervised K-means clustering method classified participants based on Th1/Th2 cytokine levels,with the primary outcome being the 7-day mortality rate post-ICU admission.Cox proportional hazards and Restricted Mean Survival Time(RMST)analyses were utilized to explore survival outcomes.Results A total of 321 sepsis patients were included.IL-6(HR 1.69,95%CI:1.22,2.34)and IL-10(HR 1.81,95%CI:1.37,2.40)emerged as independent predictors of 7-day mortality.Unsupervised K-means clustering revealed 3 inflammatory/immune subgroups:Cluster 1(n=166,low inflammatory response),Cluster 2(n=99,moderate inflammatory response with immune suppression),and Cluster 3(n=56,strong inflammatory and immune suppression).Compared to Cluster 1,Clusters 2 and 3 had higher 7-day mortality risks(14.4%vs 23.2%,HR=4.30,95%CI:1.51-12.26;14.4%vs 35.7%,HR=7.32,95%CI:2.57-20.79).Conclusion Septic patients in a protective immune response state(Cluster 1)exhibit better short-term prognoses,suggesting the importance of understanding inflammatory/immune states for precise treatment and improved outcomes.
