Protein & Cell最新文献_第10页

Architecture of severe fever with thrombocytopenia syndrome virus. 发热伴血小板减少综合征病毒的结构。

IF 21.1 1区生物学

Protein & Cell Pub Date : 2023-12-01 DOI: 10.1093/procel/pwad019

Zixian Sun, Jing Cheng, Yuan Bai, Lin Cao, Daoxin Xie, Fei Deng, Xinzheng Zhang, Zihe Rao, Zhiyong Lou

引用次数: 2

APOE-mediated suppression of the lncRNA MEG3 protects human cardiovascular cells from chronic inflammation. apoe介导的lncRNA MEG3抑制可保护人类心血管细胞免受慢性炎症的影响。

IF 21.1 1区生物学

Protein & Cell Pub Date : 2023-12-01 DOI: 10.1093/procel/pwad017

Hongkai Zhao, Kuan Yang, Yiyuan Zhang, Hongyu Li, Qianzhao Ji, Zeming Wu, Shuai Ma, Si Wang, Moshi Song, Guang-Hui Liu, Qiang Liu, Weiqi Zhang, Jing Qu

引用次数: 1

Maternal and infant microbiome: next-generation indicators and targets for intergenerational health and nutrition care. 母婴微生物组:代际健康和营养保健的下一代指标和目标。

IF 13.6 1区生物学

Protein & Cell Pub Date : 2023-11-08 DOI: 10.1093/procel/pwad029

Shengtao Gao, Jinfeng Wang

{"title":"Maternal and infant microbiome: next-generation indicators and targets for intergenerational health and nutrition care.","authors":"Shengtao Gao, Jinfeng Wang","doi":"10.1093/procel/pwad029","DOIUrl":"10.1093/procel/pwad029","url":null,"abstract":"Microbes are commonly sensitive to shifts in the physiological and pathological state of their hosts, including mothers and babies. From this perspective, the microbiome may be a good indicator for diseases during pregnancy and has the potential to be used for perinatal health monitoring. This is embodied in the application of microbiome from multi body sites for auxiliary diagnosis, early prediction, prolonged monitoring, and retrospective diagnosis of pregnancy and infant complications, as well as nutrition management and health products developments of mothers and babies. Here we summarized the progress in these areas and explained that the microbiome of different body sites is sensitive to different diseases and their microbial biomarkers may overlap between each other, thus we need to make a diagnosis prudently for those diseases. Based on the microbiome variances and additional anthropometric and physical data, individualized responses of mothers and neonates to meals and probiotics/prebiotics were predictable, which is of importance for precise nutrition and probiotics/prebiotics managements and developments. Although a great deal of encouraging performance was manifested in previous studies, the efficacy could be further improved by combining multi-aspect data such as multi-omics and time series analysis in the future. This review reconceptualizes maternal and infant health from a microbiome perspective, and the knowledge in it may inspire the development of new options for the prevention and treatment of adverse pregnancy outcomes and bring a leap forward in perinatal health care.","PeriodicalId":20790,"journal":{"name":"Protein & Cell","volume":" ","pages":"807-823"},"PeriodicalIF":13.6,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636639/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9464175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microbial sensing in the intestine. 肠道微生物感应。

IF 13.6 1区生物学

Protein & Cell Pub Date : 2023-11-08 DOI: 10.1093/procel/pwad028

Tingting Wan, Yalong Wang, Kaixin He, Shu Zhu

引用次数: 0

Nutri-microbiome epidemiology, an emerging field to disentangle the interplay between nutrition and microbiome for human health. 营养-微生物组流行病学，一个新兴的领域，解开营养和微生物组之间的相互作用，为人类健康。

IF 13.6 1区生物学

Protein & Cell Pub Date : 2023-11-08 DOI: 10.1093/procel/pwad023

Wanglong Gou, Zelei Miao, Kui Deng, Ju-Sheng Zheng

引用次数: 0

The best practice for microbiome analysis using R. 使用R进行微生物组分析的最佳实践。

IF 13.6 1区生物学

Protein & Cell Pub Date : 2023-10-25 DOI: 10.1093/procel/pwad024

Tao Wen, Guoqing Niu, Tong Chen, Qirong Shen, Jun Yuan, Yong-Xin Liu

{"title":"The best practice for microbiome analysis using R.","authors":"Tao Wen, Guoqing Niu, Tong Chen, Qirong Shen, Jun Yuan, Yong-Xin Liu","doi":"10.1093/procel/pwad024","DOIUrl":"10.1093/procel/pwad024","url":null,"abstract":"With the gradual maturity of sequencing technology, many microbiome studies have published, driving the emergence and advance of related analysis tools. R language is the widely used platform for microbiome data analysis for powerful functions. However, tens of thousands of R packages and numerous similar analysis tools have brought major challenges for many researchers to explore microbiome data. How to choose suitable, efficient, convenient, and easy-to-learn tools from the numerous R packages has become a problem for many microbiome researchers. We have organized 324 common R packages for microbiome analysis and classified them according to application categories (diversity, difference, biomarker, correlation and network, functional prediction, and others), which could help researchers quickly find relevant R packages for microbiome analysis. Furthermore, we systematically sorted the integrated R packages (phyloseq, microbiome, MicrobiomeAnalystR, Animalcules, microeco, and amplicon) for microbiome analysis, and summarized the advantages and limitations, which will help researchers choose the appropriate tools. Finally, we thoroughly reviewed the R packages for microbiome analysis, summarized most of the common analysis content in the microbiome, and formed the most suitable pipeline for microbiome analysis. This paper is accompanied by hundreds of examples with 10,000 lines codes in GitHub, which can help beginners to learn, also help analysts compare and test different tools. This paper systematically sorts the application of R in microbiome, providing an important theoretical basis and practical reference for the development of better microbiome tools in the future. All the code is available at GitHub github.com/taowenmicro/EasyMicrobiomeR.","PeriodicalId":20790,"journal":{"name":"Protein & Cell","volume":" ","pages":"713-725"},"PeriodicalIF":13.6,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599642/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9451539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The microbiota-gut-brain axis and neurodevelopmental disorders. 微生物群肠脑轴与神经发育障碍。

IF 21.1 1区生物学

Protein & Cell Pub Date : 2023-10-25 DOI: 10.1093/procel/pwad026

Qinwen Wang, Qianyue Yang, Xingyin Liu

引用次数: 2

Microbiome research outlook: past, present, and future. 微生物组研究展望：过去、现在和未来。

IF 13.6 1区生物学

Protein & Cell Pub Date : 2023-10-25 DOI: 10.1093/procel/pwad031

Yunyun Gao, Danyi Li, Yong-Xin Liu

引用次数: 0

"Sentinel or accomplice": gut microbiota and microglia crosstalk in disorders of gut-brain interaction. “哨兵或同谋”：肠-脑相互作用障碍中的肠道微生物群和小胶质细胞相互作用。

IF 21.1 1区生物学

Protein & Cell Pub Date : 2023-10-25 DOI: 10.1093/procel/pwad020

Haonan Zheng, Cunzheng Zhang, Jindong Zhang, Liping Duan

{"title":"\"Sentinel or accomplice\": gut microbiota and microglia crosstalk in disorders of gut-brain interaction.","authors":"Haonan Zheng, Cunzheng Zhang, Jindong Zhang, Liping Duan","doi":"10.1093/procel/pwad020","DOIUrl":"10.1093/procel/pwad020","url":null,"abstract":"Abnormal brain-gut interaction is considered the core pathological mechanism behind the disorders of gut-brain interaction (DGBI), in which the intestinal microbiota plays an important role. Microglia are the \"sentinels\" of the central nervous system (CNS), which participate in tissue damage caused by traumatic brain injury, resist central infection and participate in neurogenesis, and are involved in the occurrence of various neurological diseases. With in-depth research on DGBI, we could find an interaction between the intestinal microbiota and microglia and that they are jointly involved in the occurrence of DGBI, especially in individuals with comorbidities of mental disorders, such as irritable bowel syndrome (IBS). This bidirectional regulation of microbiota and microglia provides a new direction for the treatment of DGBI. In this review, we focus on the role and underlying mechanism of the interaction between gut microbiota and microglia in DGBI, especially IBS, and the corresponding clinical application prospects and highlight its potential to treat DGBI in individuals with psychiatric comorbidities.","PeriodicalId":20790,"journal":{"name":"Protein & Cell","volume":" ","pages":"726-742"},"PeriodicalIF":21.1,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599645/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9384588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Impact of the microbiome on mosquito-borne diseases. 微生物组对蚊子传播疾病的影响。

IF 21.1 1区生物学

Protein & Cell Pub Date : 2023-10-25 DOI: 10.1093/procel/pwad021

Huicheng Shi, Xi Yu, Gong Cheng

{"title":"Impact of the microbiome on mosquito-borne diseases.","authors":"Huicheng Shi, Xi Yu, Gong Cheng","doi":"10.1093/procel/pwad021","DOIUrl":"10.1093/procel/pwad021","url":null,"abstract":"Mosquito-borne diseases present a significant threat to human health, with the possibility of outbreaks of new mosquito-borne diseases always looming. Unfortunately, current measures to combat these diseases such as vaccines and drugs are often either unavailable or ineffective. However, recent studies on microbiomes may reveal promising strategies to fight these diseases. In this review, we examine recent advances in our understanding of the effects of both the mosquito and vertebrate microbiomes on mosquito-borne diseases. We argue that the mosquito microbiome can have direct and indirect impacts on the transmission of these diseases, with mosquito symbiotic microorganisms, particularly Wolbachia bacteria, showing potential for controlling mosquito-borne diseases. Moreover, the skin microbiome of vertebrates plays a significant role in mosquito preferences, while the gut microbiome has an impact on the progression of mosquito-borne diseases in humans. As researchers continue to explore the role of microbiomes in mosquito-borne diseases, we highlight some promising future directions for this field. Ultimately, a better understanding of the interplay between mosquitoes, their hosts, pathogens, and the microbiomes of mosquitoes and hosts may hold the key to preventing and controlling mosquito-borne diseases.","PeriodicalId":20790,"journal":{"name":"Protein & Cell","volume":" ","pages":"743-761"},"PeriodicalIF":21.1,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599646/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9469207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4