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A powerful adaptive microbiome-based association test for microbial association signals with diverse sparsity levels

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Journal of Genetics and Genomics 2021年第9期48卷 851-859页

作者： Han Sun Xiaoyun Huang lingling fu Ban Huo Tingting He Xingpeng Jiang Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning Central China Normal UniversityWuhan 430079China School of Computer Central China Normal UniversityWuhan 430079China School of Mathematics and Statistics Central China Normal UniversityWuhan 430079China Collaborative&Innovative Center for Educational Technology Central China Normal UniversityWuhan 430079China National Language Resources Monitoring&Research Center for Network Media Central China Normal UniversityWuhan 430079China

The dysbiosis of microbiome may have negative effects on a host *** microbes related to the host phenotype are regarded as microbial association ***,statistical methods based on microbiome-phenotype association tests have been extensively developed to detect these association ***,the currently available methods do not perform well to detect microbial association signals when dealing with diverse sparsity levels(i.e.,sparse,low sparse,non-sparse).Actually,the real association patterns related to different host phenotypes are not ***,we propose a powerful and adaptive microbiome-based association test to detect microbial association signals with diverse sparsity levels,designated as *** particular,we define probability degree to measure the associations between microbes and the host phenotype and introduce the adaptive weighted sum of powered score tests by considering both probability degree and phylogenetic *** design numerous simulation experiments for the task of detecting association signals with diverse sparsity levels to prove the performance of the *** find that type I error rates can be well-controlled and MiATDS shows superior efficiency on the *** applying to real data analysis,MiATDS displays reliable practicability *** R package is available at https://***/XiaoyunHuang33/MiATDS.

关键词： Microbiome association Association test Sparsity level Phylogenetic relevance Phenotype

医教研产融合发展背景下医学人才培育路径探讨

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中医药管理杂志 2024年第14期32卷 237-239页

作者：傅玲玲茅晓风谭秋生胡艳江苏省苏州市第五人民医院江苏苏州215131 江苏省苏州市医学会江苏苏州215006

新时期健康领域医教研产融合更加密切,医疗救治、医学教育、医学科研、健康产业融合发展,对医学人才提出更高的要求。文章通过对医教研产融合发展背景下医学人才培育的探索实践和理论学习,分析培育医学人才面临的新机遇、新挑战,并以苏... 详细信息

新时期健康领域医教研产融合更加密切,医疗救治、医学教育、医学科研、健康产业融合发展,对医学人才提出更高的要求。文章通过对医教研产融合发展背景下医学人才培育的探索实践和理论学习,分析培育医学人才面临的新机遇、新挑战,并以苏州市医学会为例,研究学会作为科技组织培育行业人才的现状,面临的困难,深刻剖析原因,在总结经验和做法的经验上,探讨医教研产融合发展背景下培育卫生人才的思路对策。

关键词：医教研产融合人才培育路径

卵巢癌患者组织及血清ADPN、CA-125、CRABP2表达与临床病理特征及预后的相关性

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中国优生与遗传杂志 2024年第5期32卷 921-927页

作者：王兴霞张雪赵亚南付玲玲宋庆雷沧州市人民医院妇科河北沧州061000 沧州市人民医院产房河北沧州061000

目的研究卵巢癌(OC)患者组织及血清脂联素(ADPN)、糖类抗原125(CA-125)、细胞视黄酸结合蛋白2(CRABP2)表达与临床病理特征及预后的相关性。方法选取2018年1月至2020年11月于沧州市人民医院妇科行手术切除的OC患者(OC组)97例为研究对象,... 详细信息

目的研究卵巢癌(OC)患者组织及血清脂联素(ADPN)、糖类抗原125(CA-125)、细胞视黄酸结合蛋白2(CRABP2)表达与临床病理特征及预后的相关性。方法选取2018年1月至2020年11月于沧州市人民医院妇科行手术切除的OC患者(OC组)97例为研究对象,另取卵巢良性肿瘤患者(良性组)99例以及无卵巢相关疾病的健康女性(对照组)100例,根据随访3年的预后情况将患者分为生存组(n=67)和死亡组(n=30),分析各组患者卵巢组织及血清中ADPN、CA-125、CRABP2表达及其与临床病理特征的关系。用多因素Logistic回归分析OC患者死亡的影响因素;用Kaplan-Meier法对OC患者3年生存率进行分析。结果OC组卵巢组织中CA-125、CRABP2阳性表达高于良性组,ADPN阳性表达低于良性组(P<0.05);血清中CA-125、CRABP2表达高于良性组和对照组,ADPN表达低于良性组和对照组(P<0.05)。生存组ADPN水平高于死亡组,CA-125、CRABP2水平低于死亡组(P<0.05)。血清ADPN水平与FIGO分期、淋巴结转移、病理分期呈负相关,与淋巴结清扫呈正相关(P<0.05);血清CA-125、CRABP2水平与FIGO分期、淋巴结转移、病理分期呈正相关,与淋巴结清扫呈负相关(P<0.05)。Logistic回归分析表明ADPN、CA-125、CRABP2是OC患者死亡的独立影响因素(P<0.05)。ADPN阳性表达患者3年总生存率明显高于ADPN阴性表达患者,CA-125阳性表达患者3年总生存率明显低于CA-125阴性表达患者,CRABP2阳性表达患者3年总生存率低于CRABP2阴性表达患者(P<0.05)。结论OC患者组织及血清中ADPN水平较低,CA-125、CRABP2水平较高,与患者临床病理特征和预后相关。

关键词：卵巢癌脂联素糖类抗原125 细胞视黄酸结合蛋白2 预后

Spatial compartmentalization and temporal stability of associated microbiota in Pacific oyster Crassostrea gigas

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Journal of Oceanology and Limnology 2024年第4期42卷 1348-1358页

作者： Qiang fu Zichao YU Junyan ZHAO Lei GAO Ning KONG lingling WANG Linsheng SONG Liaoning Key Laboratory of Marine Animal Immunology and Disease Control Dalian Ocean UniversityDalian 116023China functional Laboratory of Marine Fisheries Science and Food Production Processes Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control Dalian Ocean UniversityDalian 116023China

The Pacific oyster Crassostrea gigas,one of the most exploited molluscs in the world,has suffered from massive mortality in recent decades,and the occurrence mechanisms have not been well *** this study,to reveal the relationship of associated microbiota to the fitness of oysters,temporal dynamics of microbiota in the gill,hemolymph,and hepatopancreas of *** during April 2018-January 2019 were investigated by 16 S rRNA gene *** microbiota in *** exhibited tissue heterogeneity,of which Spirochaetaceae was dominant in the gill and hemolymph while Mycoplasmataceae enriched in the ***-occurrence network demonstrated that the gill microbiota exhibited higher inter-taxon connectivity while the hemolymph microbiota had more *** richness(Chao 1 index)and diversity(Shannon index)of microbial community in each tissue showed no significant seasonal variations,except for the hepatopancreas having a higher richness in the ***,beta diversity analysis indicated a relatively stable microbiota in each tissue during the sampling period,showing relative abundance of the dominant taxa exhibiting temporal *** indicate that the microbial community in *** showed a tissue-specific stability with temporal dynamics in the composition,which might be essential for the tissue functioning and environmental adaption in *** work provides a baseline microbiota in *** and is helpful for the understanding of host-microbiota interaction in oysters.

关键词： Pacific oyster associated microbiota spatial compartmentalization temporal stability

Crop pest image recognition based on the improved ViT method Author links open overlay panel

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Information Processing in Agriculture 2024年第2期11卷 249-259页

作者： Xueqian fu Qiaoyu Ma Feifei Yang Chunyu Zhang Xiaolong Zhao fuhao Chang lingling Han College of Information and Electrical Engineering China Agricultural UniversityBeijingChina National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina

The crop pests and diseases in agriculture is one of the most important reason for the reduction of bulk grain and oil crops and the decline of fruit and vegetable crop quality,which threaten macroeconomic stability and sustainable ***,the recognition method based on manual and instruments has been unable to meet the needs of scientific research and production due to its strong subjectivity and low *** recognition method based on pattern recognition and deep learning can automatically fit image features,and use features to classify and predict *** study introduced the improved Vision Transformer(ViT)method for crop pest image *** them,the region with the most obvious features can be effectively selected by block *** self-attention mechanism of the transformer can better excavate the special solution that is not an obvious lesion *** the experiment,data with 7 classes of examples are used for *** can be illustrated from results that this method has high accuracy and can give full play to the advantages of image processing and recognition technology,accurately judge the crop diseases and pests category,provide method reference for agricultural diseases and pests identification research,and further optimize the crop diseases and pests control work for agricultural workers in need.

关键词： Crop diseases recognition Fruit tree leaf disease Vision Transformer Deep learning Computer Vision

Simulation and forecasting of fishery weather based on statistical machine learning

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Information Processing in Agriculture 2024年第1期11卷 127-142页

作者： Xueqian fu Chunyu Zhang fuhao Chang lingling Han Xiaolong Zhao Zhengjie Wang Qiaoyu Ma National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina College of Information and Electrical Engineering China Agricultural UniversityBeijingChina

As the new generation of artificial intelligence(AI)continues to evolve,weather big data and statistical machine learning(SML)technologies complement each other and are deeply integrated to significantly improve the processing and forecasting accuracy of fishery *** fishery weather services play a crucial role in fishery production,serving as a great safeguard for economic benefits and personal safety,enabling fishermen to carry out fishery production better,and contributing to the sustainable development of the fishery *** objective of this paper is to offer an understanding of the present state of research and development in SML technology for simulating and forecasting fishery ***,we analyze the current state of research and technical features of SML in weather and summarize the applications of SML in simulation and forecasting of fishery weather,which mainly include three aspects:fishery weather scenario generation,fishery weather forecasting,and fishery extreme weather *** also illustrate the main technical means and principles of SML ***,we summarize the most advanced SML fields and provide an outlook on their application value in the field of fishery weather.

关键词： Fishery weather Statistical machine learning Weather generation Weather forecasting Extreme weather warning

Electroacupuncture ameliorates blood-brain barrier disruption after ischemic stroke through histone acetylation regulation at the matrix metalloproteinase 9 and tissue inhibitor of metalloproteinase 2 genes

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Journal of Traditional Chinese Medicine 2024年第4期44卷 734-744页

作者： CHEN Yonglin OUYANG Ling MENG lingling WU Bufan PENG Rou LIU Sitong HOU Dan WANG Yaling JING Xinyue LU Shengfeng fu Shuping Key Laboratory of Acupuncture and Medicine Research of Ministry of Education Nanjing University of Chinese MedicineNanjing 210023China

OBJECTIVE:To explore whether the regulation of matrix metalloproteinase 9(MMP-9)/tissue inhibitors of MMPs(TIMPs)gene expression through histone acetylation is a possible mechanism by which electroacupuncture(EA)protects blood-brain barrier(BBB)integrity in a middle cerebral artery occlusion(MCAO)rat ***:Male Sprague-Dawley rats were divided into four groups:the sham group,the MCAO group,the MCAO+EA(MEA)group,and the MCAO+EA+HAT inhibitor(HATi)*** MCAO model was generated by blocking the middle cerebral *** was applied to Baihui(GV20).Samples were collected 1 or 3 d after *** function scores and Evans blue extravasation were employed to evaluate the poststroke *** effect of EA on MMP-9/TIMPs gene expression was assessed by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR)and chromatin immunoprecipitation(ChIP).RESULTS:Our results showed that EA treatment prominently improved neurological function and ameliorated BBB *** RT-qPCR assay showed that EA reduced the expression of MMP-9 and promoted TIMP-2 mRNA expression,but HATi reversed these effects of *** addition,ChIP results revealed that EA decreased the enrichment of H3K9ace/H3K27ace at MMP-9 promoters and notably stimulated the recruitment of H3K9ace/H3K27ace at TIMP-2 ***:EA treatment at Baihui(GV20)regulates the transcription of MMP-9 and TIMP-2 through histone acetylation modification in the acute stage of stroke,which preserves the structural integrity of the BBB in MCAO *** findings suggested that the histone acetylation-mediated transcriptional activity of target genes may be a crucial mechanism of EA treatment in stroke.

关键词： blood-brain barrier matrix metalloproteinase 9 tissue inhibitor of metalloproteinases electroacupuncture histone acetylation

Disruption of a microvitellogenin gene impairs eggshell formation in Mythimna separata

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Journal of Integrative Agriculture 2024年第11期23卷 3801-3811页

作者： lingling Li Junhong fu Changgeng Dai Yuhang Zhou Yang Hu Hongbo Li Institute of Plant Protection Guizhou Academy of Agricultural Sciences Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region School of Agriculture Institute of Entomology Guizhou University Crop Genetic Resources and Germplasm Innovation in Karst Region Ministry of Agriculture and Rural Affairs

Microvitellogenin(mVg) belongs to the lepidopteran-specific lipoprotein＿11 super family and is thought to be involved in insect reproduction. However, the function of mVg in reproduction has not been established. In this study, we identified and characterized MsmVg in Mythimna separata, a destructive insect pest of grain crops. MsmVg is comprised of a 1,310 bp open reading frame(ORF) encoding 437 amino acids. Structural analysis showed that MsmVg contains three conserved domains in the lipoprotein＿11 super family, including the all-α-N-terminal domain(NTD), a Pseudomonas putida homologous domain(PPD), and an all-β-C-terminal domain(CTD). MsmVg was highly expressed in mature female adults and enriched in the ovaries of 3-day-old female adults. Disruption of MsmVg by RNA interference did not change the expression of MsmVg, vitellogenin(MsVg) or the vitellogenin receptor(MsVgR) in fat bodies, but it inhibited their transcription in ovaries. Phenotype analysis showed that knockdown of MsmVg did not affect yolk deposition in ovaries, but impaired eggshell formation and led to a reduction in the reproductive capacity. furthermore, knockdown of MsmVg significantly inhibited the expression of genes associated with eggshell formation(MsChP1-3 and MsFcP3C). Taken together, these data suggest that MsmVg plays an important role in female reproduction by affecting eggshell formation in M. separata, which provides a potential target for managing this insect pest.

关键词： microvitellogenin Mythimna separata reproduction RNA interference

Influence of pH on the catalytic performance of CuO-CoOx-CeO2 for CO oxidation

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Influence of pH on the catalytic performance of CuO-CoOx-CeO...