Infectious diseases constitute a limiting factor in the development of the aquaculture production, and control has solely concentrated on the use of antibiotics. However, the massive use of antibiotics for the control...Infectious diseases constitute a limiting factor in the development of the aquaculture production, and control has solely concentrated on the use of antibiotics. However, the massive use of antibiotics for the control of diseases has been questioned by acquisition of antibiotic resistance and the need of alternative is of prime importance. Probiotics, live microorganisms administered in adequate amounts that confer a healthy effect on the host, are emerging as significant microbial food supplements in the field of prophylaxis.展开更多
The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest.Although widely applied,traditional polygenic risk scoring methods fall short,a...The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest.Although widely applied,traditional polygenic risk scoring methods fall short,as they are built on additive models that fail to capture the intricate associations among single nucleotide polymorphisms(SNPs).This presents a limitation,as genetic diseases often arise from complex interactions between multiple SNPs.To address this challenge,we developed DeepRisk,a biological knowledge-driven deep learning method for modeling these complex,nonlinear associations among SNPs,to provide a more effective method for scoring the risk of common diseases with genome-wide genotype data.Evaluations demonstrated that DeepRisk outperforms existing PRs-based methods in identifying individuals at high risk for four common diseases:Alzheimer's disease,inflammatory bowel disease,type 2diabetes,and breast cancer.展开更多
【目的】探讨个体出生当年的五运六气特征与常见肿瘤发生之间的联系,评估五运六气理论应用于现代肿瘤流行病学研究的潜力。【方法】利用SEER(Surveillance,Epidemiology,and End Results)数据库(1975~2020年)及广州中医药大学惠州医院...【目的】探讨个体出生当年的五运六气特征与常见肿瘤发生之间的联系,评估五运六气理论应用于现代肿瘤流行病学研究的潜力。【方法】利用SEER(Surveillance,Epidemiology,and End Results)数据库(1975~2020年)及广州中医药大学惠州医院肿瘤科近3年收治的肿瘤病例数据,将出生年份转换为五运六气的相关要素,如中运、客气、主气及运气相合等,并通过LASSO回归、单因素和多因素逻辑回归分析探讨这些要素与不同类型肿瘤发病风险之间的关系。【结果】(1)共涵盖了2215896例病例,其中来源于SEER数据库的病例为2215024例,包括男性1158019例(占52.28%),女性1057005例(占47.72%);本院病例为872例,包括男性527例(占60.44%),女性345例(占39.56%)。涉及乳腺癌、前列腺癌、肺癌、结直肠癌、胃癌和肝癌等多种类型。(2)研究发现,某些五运六气特征与特定肿瘤类型的发生存在显著相关性,如肺癌的发生与“土运不足”有关,而乳腺癌的发生则与“水运不足”的年份有关等,表明出生时的五运六气特征可能与肿瘤发病风险之间存在潜在联系。【结论】该研究的初步发现支持了五运六气理论在预测不同肿瘤发生风险中的应用前景。然而,五运六气特征与肿瘤发生之间的关系非常复杂,需要进一步的深入研究来探索其背后的机制。未来的工作可通过涵盖更大的人群样本,以及更详细的出生时间,并考虑家族遗传、地理因素和环境因素等,以验证这些观察结果,为风险预测模型的建立以及中医“治未病”理念在肿瘤预防和治疗中的实际应用提供科学依据。展开更多
Background:Due to the outbreak and rapid spread of coronavirus disease 2019(COVID-19),more than 160 million patients have become convalescents worldwide to date.Significant alterations have occurred in the gut and ora...Background:Due to the outbreak and rapid spread of coronavirus disease 2019(COVID-19),more than 160 million patients have become convalescents worldwide to date.Significant alterations have occurred in the gut and oral microbiome and metabonomics of patients with COVID-19.However,it is unknown whether their characteristics return to normal after the 1-year recovery.Methods:We recruited 35 confirmed patients to provide specimens at discharge and 1 year later,as well as 160healthy controls.A total of 497 samples were prospectively collected,including 219 tongue-coating,129 stool and 149 plasma samples.Tongue-coating and stool samples were subjected to 16S rRNA sequencing,and plasma samples were subjected to untargeted metabolomics testing.Results:The oral and gut microbiome and metabolomics characteristics of the 1-year convalescents were restored to a large extent but did not completely return to normal.In the recovery process,the microbial diversity gradually increased.Butyric acid-producing microbes and Bifidobacterium gradually increased,whereas lipopolysaccharideproducing microbes gradually decreased.In addition,sphingosine-1-phosphate,which is closely related to the inflammatory factor storm of COVID-19,increased significantly during the recovery process.Moreover,the predictive models established based on the microbiome and metabolites of patients at the time of discharge reached high efficacy in predicting their neutralizing antibody levels one year later.Conclusions:This study is the first to characterize the oral and gut microbiome and metabonomics in 1-year convalescents of COVID-19.The key microbiome and metabolites in the process of recovery were identified,and provided new treatment ideas for accelerating recovery.And the predictive models based on the microbiome and metabolomics afford new insights for predicting the recovery situation which benefited affected individuals and healthcare.展开更多
文摘Infectious diseases constitute a limiting factor in the development of the aquaculture production, and control has solely concentrated on the use of antibiotics. However, the massive use of antibiotics for the control of diseases has been questioned by acquisition of antibiotic resistance and the need of alternative is of prime importance. Probiotics, live microorganisms administered in adequate amounts that confer a healthy effect on the host, are emerging as significant microbial food supplements in the field of prophylaxis.
基金the National Natural Science Foundation of China(62072376 and U1811262)Guangdong Provincial Basic and Applied Research Fund Project(2022A1515010144)+1 种基金Innovation Capability Support Program of Shaanxi(2022KJXX-75)the Fundamental Research Funds for the Central Universities(D5000230056).
文摘The potential for being able to identify individuals at high disease risk solely based on genotype data has garnered significant interest.Although widely applied,traditional polygenic risk scoring methods fall short,as they are built on additive models that fail to capture the intricate associations among single nucleotide polymorphisms(SNPs).This presents a limitation,as genetic diseases often arise from complex interactions between multiple SNPs.To address this challenge,we developed DeepRisk,a biological knowledge-driven deep learning method for modeling these complex,nonlinear associations among SNPs,to provide a more effective method for scoring the risk of common diseases with genome-wide genotype data.Evaluations demonstrated that DeepRisk outperforms existing PRs-based methods in identifying individuals at high risk for four common diseases:Alzheimer's disease,inflammatory bowel disease,type 2diabetes,and breast cancer.
文摘【目的】探讨个体出生当年的五运六气特征与常见肿瘤发生之间的联系,评估五运六气理论应用于现代肿瘤流行病学研究的潜力。【方法】利用SEER(Surveillance,Epidemiology,and End Results)数据库(1975~2020年)及广州中医药大学惠州医院肿瘤科近3年收治的肿瘤病例数据,将出生年份转换为五运六气的相关要素,如中运、客气、主气及运气相合等,并通过LASSO回归、单因素和多因素逻辑回归分析探讨这些要素与不同类型肿瘤发病风险之间的关系。【结果】(1)共涵盖了2215896例病例,其中来源于SEER数据库的病例为2215024例,包括男性1158019例(占52.28%),女性1057005例(占47.72%);本院病例为872例,包括男性527例(占60.44%),女性345例(占39.56%)。涉及乳腺癌、前列腺癌、肺癌、结直肠癌、胃癌和肝癌等多种类型。(2)研究发现,某些五运六气特征与特定肿瘤类型的发生存在显著相关性,如肺癌的发生与“土运不足”有关,而乳腺癌的发生则与“水运不足”的年份有关等,表明出生时的五运六气特征可能与肿瘤发病风险之间存在潜在联系。【结论】该研究的初步发现支持了五运六气理论在预测不同肿瘤发生风险中的应用前景。然而,五运六气特征与肿瘤发生之间的关系非常复杂,需要进一步的深入研究来探索其背后的机制。未来的工作可通过涵盖更大的人群样本,以及更详细的出生时间,并考虑家族遗传、地理因素和环境因素等,以验证这些观察结果,为风险预测模型的建立以及中医“治未病”理念在肿瘤预防和治疗中的实际应用提供科学依据。
基金sponsored by grants from the National Key Research and Development Program of China(2018YFC2000501)National Natural Science Foundation of China(U2004121,82070643,and U1904164)。
文摘Background:Due to the outbreak and rapid spread of coronavirus disease 2019(COVID-19),more than 160 million patients have become convalescents worldwide to date.Significant alterations have occurred in the gut and oral microbiome and metabonomics of patients with COVID-19.However,it is unknown whether their characteristics return to normal after the 1-year recovery.Methods:We recruited 35 confirmed patients to provide specimens at discharge and 1 year later,as well as 160healthy controls.A total of 497 samples were prospectively collected,including 219 tongue-coating,129 stool and 149 plasma samples.Tongue-coating and stool samples were subjected to 16S rRNA sequencing,and plasma samples were subjected to untargeted metabolomics testing.Results:The oral and gut microbiome and metabolomics characteristics of the 1-year convalescents were restored to a large extent but did not completely return to normal.In the recovery process,the microbial diversity gradually increased.Butyric acid-producing microbes and Bifidobacterium gradually increased,whereas lipopolysaccharideproducing microbes gradually decreased.In addition,sphingosine-1-phosphate,which is closely related to the inflammatory factor storm of COVID-19,increased significantly during the recovery process.Moreover,the predictive models established based on the microbiome and metabolites of patients at the time of discharge reached high efficacy in predicting their neutralizing antibody levels one year later.Conclusions:This study is the first to characterize the oral and gut microbiome and metabonomics in 1-year convalescents of COVID-19.The key microbiome and metabolites in the process of recovery were identified,and provided new treatment ideas for accelerating recovery.And the predictive models based on the microbiome and metabolomics afford new insights for predicting the recovery situation which benefited affected individuals and healthcare.
基金National Famous Old Chinese Medicine Experts Inheritance Studio Construction Project(Chinese Medicine Education Letter[2022]No.75)National Natural Science Foundation of China Joint Fund Project(U1705286)Fujian Provincial Science and Technology Program for University-Industry Cooperation Project(2020Y4017)。
