المؤلفون: Shifa Zhang, Haibo Cai, Junjun Huang, Gongchao Wang

المصدر: Thoracic Cancer, Vol 13, Iss 23, Pp 3284-3294 (2022)

مصطلحات موضوعية: esophageal cancer, IDO, immunotherapy, PD‐1 inhibitors, PD‐L1, TIM‐3, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

الوصف: Abstract Background Anti‐PD‐1/PD‐L1 therapeutics have been widely used in the clinic in various tumors, including advanced esophageal cancer, showing remarkable treatment efficacy. Factors determining the response to anti‐PD‐1/PD‐L1 therapeutics are numerous, including the tumor microenvironment, such as CD8+ T cells and expression of PD‐1/PD‐L1. Our study aimed to explore the effect of chemoimmunotherapy on the expression of CD8+ T cells, TIM‐3, and FOXP3+ in tumor, paratumor tissues, and the expression of PD‐L1, IDO, in tumor, paratumor tissues, and lymph nodes, and analyze the correlation among these markers. Methods A total of 18 patients were allocated into two treatment groups: a treatment group and a concurrent control group. A total of 38 tissue samples, 114 slides (tumor, paratumor, and lymph node) were collected in the treatment group, and 37 tissue samples, 111 slides (tumor, paratumor, and lymph node) were collected in the concurrent control group. Results The expression of PD‐L1, CD8+, FOXP3+, TIM‐3, and IDO in tumors, paratumor tissues, but not lymph nodes, was significantly affected by chemoimmunotherapy. Compared with patients without chemoimmunotherapy, the expression of CD8+ T cells, IDO, and PD‐L1 was significantly decreased in tumor and paratumor tissues after chemoimmunotherapy, while FOXP3+ expression was significantly decreased only in tumor tissues, and TIM‐3 expression was significantly decreased only in paratumor tissues. Moreover, the correlation between these markers was also completely altered after chemoimmunotherapy. In addition, N staging was associated with high expression of CD8 in advanced esophageal squamous cell carcinoma in the concurrent control group. Conclusion This study provides new insight into the effects of CI treatment on isolated CD8+ T cell infiltration, PD‐L1, IDO, FOXP3+ and TIM‐3 expression as well as their cross‐talk in different tissues enabling a better understanding of the impact of CI treatment on the immune microenvironment.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1759-7706Test; https://doaj.org/toc/1759-7714Test

الوصول الحر: https://doaj.org/article/500abe5615aa44ea95245cec24e72c5aTest

المؤلفون: Lin CUI, Bingxin XIE, Zhuo ZHAO, Shifa ZHANG

المصدر: Pifu-xingbing zhenliaoxue zazhi, Vol 29, Iss 6, Pp 561-563 (2022)

مصطلحات موضوعية: cutaneous pili migrans, infant, Dermatology, RL1-803

الوصف: Two cases of cutaneous pili migrans were reported. Case 1 was a female patient, aged 1 years and 11 months. She presented with pain in the sole of her right foot for 1 day. Dermatological examination: there was a black punctured skin lesion on the medial and lateral edge of the right paw. Magnifying glass showed that a black hair-like substance penetrated deep into the skin, and the residual end was visible on the skin surface. After being extracted with sharp tweezers, it was found to be a hard black broken hair with a length of about 4 mm. No hair follicle was found, so local disinfection was carried out. Lately, many similar hairs on her bed were found. Case 2 was a male patient, aged 4 years and 2 months. He went to the hospital because of left paw pain for 1 month. Dermatological examination: there was a black skin lesion near the heel of the left paw. Under magnifying glass, the hair was curled in the skin and the end was free from the skin surface. A black broken hair about 6 mm long was found with tweezers. No hair follicle was found. Lately, many similar hairs were also found on his bed. It was considered that the onset of the 2 patients was caused by adult hair shedding on the bed, and the patient's barefoot contact was followed by stabbing into the skin of the sole of the foot.

وصف الملف: electronic resource

العلاقة: http://pfxbzlx.gdvdc.com/CN/10.3969/j.issn.1674-8468.2022.06.013Test; https://doaj.org/toc/1674-8468Test

الوصول الحر: https://doaj.org/article/3bd3e0104e3d4be7a795d6150a375bd7Test

المؤلفون: Li Huang, Yifeng Yin, Zeng Fu, Shifa Zhang, Hao Deng, Dianbo Liu

المصدر: PLoS ONE, Vol 15, Iss 4, p e0230706 (2020)

مصطلحات موضوعية: Medicine, Science

الوصف: Intensive care data are valuable for improvement of health care, policy making and many other purposes. Vast amount of such data are stored in different locations, on many different devices and in different data silos. Sharing data among different sources is a big challenge due to regulatory, operational and security reasons. One potential solution is federated machine learning, which is a method that sends machine learning algorithms simultaneously to all data sources, trains models in each source and aggregates the learned models. This strategy allows utilization of valuable data without moving them. One challenge in applying federated machine learning is the possibly different distributions of data from diverse sources. To tackle this problem, we proposed an adaptive boosting method named LoAdaBoost that increases the efficiency of federated machine learning. Using intensive care unit data from hospitals, we investigated the performance of learning in IID and non-IID data distribution scenarios, and showed that the proposed LoAdaBoost method achieved higher predictive accuracy with lower computational complexity than the baseline method.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1932-6203Test

الوصول الحر: https://doaj.org/article/a5a4c34cd9544534b3125bf7757e7169Test

المؤلفون: Shifa Zhang, Hongfeng Liu, Haibo Cai

المصدر: Pain Research and Management, Vol 2020 (2020)

مصطلحات موضوعية: Medicine (General), R5-920

الوصف: Objective. To compare the effects of continuous paravertebral block analgesia and patient-controlled intravenous analgesia after minimally invasive radical esophagectomy for esophageal cancer and their effects on postoperative recovery. Methods. A retrospective analysis was performed among 233 patients who underwent minimally invasive esophageal cancer radical operation and met the requirements, including 87 patients (group C) who were successfully placed with a continuous paravertebral block device under direct vision and 146 patients (group P) who used a patient-controlled intravenous analgesia device. Visual analogue pain score (VAS) at rest and in motion for 1, 3, 6, 12, 24, 36, and 48 hours after awakening, incidence of adverse reactions of the two analgesic methods, occurrence of pulmonary complications after operation, use of emergency analgesics, and hospital stay after operation was recorded. Results. The VAS scores of group C in resting and active state at 1, 3, 6, 12, 24, 36, and 48 hours after operation were significantly lower than those of group P (P

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1203-6765Test; https://doaj.org/toc/1918-1523Test

الوصول الحر: https://doaj.org/article/ca4e6181eb784c19960301ffa2a25a54Test

المؤلفون: Mengmeng Liu, Juanjuan Mao, Shifa Zhang

المصدر: BioMed Research International, Vol 2022 (2022)

مصطلحات موضوعية: Medicine

الوصف: To preliminarily understand the differentiation characteristics of regulatory T cells (Tregs) and Th17 at a different time in preterm mice, the impacts of probiotics on immune function progression, as well as the correlation of probiotics with Tregs and Th17. On embryonic day 18 of gestation, a mouse model of preterm birth was built using mifepristone (RU486). Following IPI of RU486, newborn mice were randomized to probiotics or NS gavage administration. Full-term newborn mice were given the same dose of NS gavage administration. Phenotypic analysis of peripheral immune cell frequency was performed using flow cytometry. Cytokine measurements were phenotyped by enzyme-linked immunosorbent assays. On the 14th and 21st days after birth, the highest and lowest expressions of Foxp3, the Treg transcription factor, were observed in full-term mice and premature mice by NS gavage administration, respectively, while the opposite trend was found in the Th17 transcription factor IL-17.IL-2, IL-6, and TGF-β rose with age but showed different trends among the three groups. IL-2 is the highest in full-term mice and the lowest in premature mice. IL-6 and TGF-β is the lowest in full-term mice and the highest in premature mice. Probiotics are beneficial to the development and maturation of the immune system, which may play a role in regulating the ratio of Treg/Th17. Probiotic preintervention can effectively promote the differentiation of Treg and inhibit the differentiation of Th17 in premature mice. Its mechanism of action may play a biological role by regulating cytokine (IL-2, IL-6, and TGF-β) secretions.

العلاقة: http://dx.doi.org/10.1155/2022/6131069Test; https://doaj.org/toc/2314-6141Test; https://doaj.org/article/7a1482d4170d4e099af98d324e7cc83bTest

الإتاحة: https://doi.org/10.1155/2022/6131069Test
https://doaj.org/article/7a1482d4170d4e099af98d324e7cc83bTest

المؤلفون: Yanli Liao, Chao Yuan, Mi Huang, WenXia Si, Duanzhuo Li, Weibin Wu, Shifa Zhang, Runkun Wu, Yi Quan, Xin Yu, Shengjie Liao

المصدر: Anti-Cancer Drugs; Jan2024, Vol. 35 Issue 1, p46-54, 9p

المؤلفون: Wende Tian, Shifa Zhang, Zhe Cui, Zijian Liu, Shaochen Wang, Ya Zhao, Hao Zou

المصدر: Processes; Volume 9; Issue 2; Pages: 229

مصطلحات موضوعية: distillation process, mechanism analysis, SDG model, fault identification

جغرافية الموضوع: agris

الوصف: Due to the complexity of materials and energy cycles, the distillation system has numerous working conditions difficult to troubleshoot in time. To address the problem, a novel DMA-SDG fault identification method that combines dynamic mechanism analysis based on process simulation and signed directed graph is proposed for the distillation process. Firstly, dynamic simulation is employed to build a mechanism model to provide the potential relationships between variables. Secondly, sensitivity analysis and dynamic mechanism analysis in process simulation are introduced to the SDG model to improve the completeness of this model based on expert knowledge. Finally, a quantitative analysis based on complex network theory is used to select the most important nodes in SDG model for identifying the severe malfunctions. The application of DMA-SDG method in a benzene-toluene-xylene (BTX) hydrogenation prefractionation system shows sound fault identification performance.

وصف الملف: application/pdf

العلاقة: Process Control and Supervision; https://dx.doi.org/10.3390/pr9020229Test

الإتاحة: https://doi.org/10.3390/pr9020229Test

المؤلفون: Shifa Zhang, Haibo Cai, Junjun Huang, Gongchao Wang

المصدر: Thoracic Cancer. 13:3284-3294

مصطلحات موضوعية: Pulmonary and Respiratory Medicine, Oncology, General Medicine

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::374ae15292f2de3c0033e654a16469bcTest
https://doi.org/10.1111/1759-7714.14683Test

المؤلفون: Samantha M. Baxter, Jennifer E. Posey, Nicole J. Lake, Nara Sobreira, Jessica X. Chong, Steven Buyske, Elizabeth E. Blue, Lisa H. Chadwick, Zeynep H. Coban-Akdemir, Kimberly F. Doheny, Colleen P. Davis, Monkol Lek, Christopher Wellington, Shalini N. Jhangiani, Mark Gerstein, Richard A. Gibbs, Richard P. Lifton, Daniel G. MacArthur, Tara C. Matise, James R. Lupski, David Valle, Michael J. Bamshad, Ada Hamosh, Shrikant Mane, Deborah A. Nickerson, Heidi L. Rehm, Anne O’Donnell-Luria, Marcia Adams, François Aguet, Gulsen Akay, Peter Anderson, Corina Antonescu, Harindra M. Arachchi, Mehmed M. Atik, Christina A. Austin-Tse, Larry Babb, Tamara J. Bacus, Vahid Bahrambeigi, Suganthi Balasubramanian, Yavuz Bayram, Arthur L. Beaudet, Christine R. Beck, John W. Belmont, Jennifer E. Below, Kaya Bilguvar, Corinne D. Boehm, Eric Boerwinkle, Philip M. Boone, Sara J. Bowne, Harrison Brand, Kati J. Buckingham, Alicia B. Byrne, Daniel Calame, Ian M. Campbell, Xiaolong Cao, Claudia Carvalho, Varuna Chander, Jaime Chang, Katherine R. Chao, Ivan K. Chinn, Declan Clarke, Ryan L. Collins, Beryl Cummings, Zain Dardas, Moez Dawood, Kayla Delano, Stephanie P. DiTroia, Harshavardhan Doddapaneni, Haowei Du, Renqian Du, Ruizhi Duan, Mohammad Eldomery, Christine M. Eng, Eleina England, Emily Evangelista, Selin Everett, Jawid Fatih, Adam Felsenfeld, Laurent C. Francioli, Christian D. Frazar, Jack Fu, Emmanuel Gamarra, Tomasz Gambin, Weiniu Gan, Mira Gandhi, Vijay S. Ganesh, Kiran V. Garimella, Laura D. Gauthier, Danielle Giroux, Claudia Gonzaga-Jauregui, Julia K. Goodrich, William W. Gordon, Sean Griffith, Christopher M. Grochowski, Shen Gu, Sanna Gudmundsson, Stacey J. Hall, Adam Hansen, Tamar Harel, Arif O. Harmanci, Isabella Herman, Kurt Hetrick, Hadia Hijazi, Martha Horike-Pyne, Elvin Hsu, Jianhong Hu, Yongqing Huang, Jameson R. Hurless, Steve Jahl, Gail P. Jarvik, Yunyun Jiang, Eric Johanson, Angad Jolly, Ender Karaca, Michael Khayat, James Knight, J. Thomas Kolar, Sushant Kumar, Seema Lalani, Kristen M. Laricchia, Kathryn E. Larkin, Suzanne M. Leal, Gabrielle Lemire, Richard A. Lewis, He Li, Hua Ling, Rachel B. Lipson, Pengfei Liu, Alysia Kern Lovgren, Francesc López-Giráldez, Melissa P. MacMillan, Brian E. Mangilog, Stacy Mano, Dana Marafi, Beth Marosy, Jamie L. Marshall, Renan Martin, Colby T. Marvin, Michelle Mawhinney, Sean McGee, Daniel J. McGoldrick, Michelle Mehaffey, Betselote Mekonnen, Xiaolu Meng, Tadahiro Mitani, Christina Y. Miyake, David Mohr, Shaine Morris, Thomas E. Mullen, David R. Murdock, Mullai Murugan, Donna M. Muzny, Ben Myers, Juanita Neira, Kevin K. Nguyen, Patrick M. Nielsen, Natalie Nudelman, Emily O’Heir, Melanie C. O’Leary, Chrissie Ongaco, Jordan Orange, Ikeoluwa A. Osei-Owusu, Ingrid S. Paine, Lynn S. Pais, Justin Paschall, Karynne Patterson, Davut Pehlivan, Benjamin Pelle, Samantha Penney, Jorge Perez de Acha Chavez, Emma Pierce-Hoffman, Cecilia M. Poli, Jaya Punetha, Aparna Radhakrishnan, Matthew A. Richardson, Eliete Rodrigues, Gwendolin T. Roote, Jill A. Rosenfeld, Erica L. Ryke, Aniko Sabo, Alice Sanchez, Isabelle Schrauwen, Daryl A. Scott, Fritz Sedlazeck, Jillian Serrano, Chad A. Shaw, Tameka Shelford, Kathryn M. Shively, Moriel Singer-Berk, Joshua D. Smith, Hana Snow, Grace Snyder, Matthew Solomonson, Rachel G. Son, Xiaofei Song, Pawel Stankiewicz, Taylorlyn Stephan, V. Reid Sutton, Abigail Sveden, Diana Cornejo Sánchez, Monica Tackett, Michael Talkowski, Machiko S. Threlkeld, Grace Tiao, Miriam S. Udler, Laura Vail, Zaheer Valivullah, Elise Valkanas, Grace E. VanNoy, Qingbo S. Wang, Gao Wang, Lu Wang, Michael F. Wangler, Nicholas A. Watts, Ben Weisburd, Jeffrey M. Weiss, Marsha M. Wheeler, Janson J. White, Clara E. Williamson, Michael W. Wilson, Wojciech Wiszniewski, Marjorie A. Withers, Dane Witmer, Lauren Witzgall, Elizabeth Wohler, Monica H. Wojcik, Isaac Wong, Jordan C. Wood, Nan Wu, Jinchuan Xing, Yaping Yang, Qian Yi, Bo Yuan, Jordan E. Zeiger, Chaofan Zhang, Peng Zhang, Yan Zhang, Xiaohong Zhang, Yeting Zhang, Shifa Zhang, Huda Zoghbi, Igna van den Veyver

المصدر: Genet Med

مصطلحات موضوعية: Phenotype, Exome Sequencing, Humans, Exome, Genomics, Article, Genetic Association Studies, Genetics (clinical)

الوصف: PURPOSE: Mendelian disease genomic research has undergone a massive transformation over the past decade. With increasing availability of exome and genome sequencing, the role of Mendelian research has expanded beyond data collection, sequencing, and analysis to worldwide data sharing and collaboration. METHODS: Over the past 10 years, the National Institutes of Health–supported Centers for Mendelian Genomics (CMGs) have played a major role in this research and clinical evolution. RESULTS: We highlight the cumulative gene discoveries facilitated by the program, biomedical research leveraged by the approach, and the larger impact on the research community. Beyond generating a list of gene-phenotype relationships and participating in widespread data sharing, the CMGs have created resources, tools, and training for the larger community to foster understanding of genes and genome variation. The CMGs have participated in a wide range of data sharing activities, including deposition of all eligible CMG data into the Analysis, Visualization, and Informatics Lab-space (AnVIL), sharing candidate genes through the Matchmaker Exchange and the CMG website, and sharing variants in Genotypes to Mendelian Phenotypes (Geno2MP) and VariantMatcher. CONCLUSION: The work is far from complete; strengthening communication between research and clinical realms, continued development and sharing of knowledge and tools, and improving access to richly characterized data sets are all required to diagnose the remaining molecularly undiagnosed patients.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b797c7738329d28c572a5aa99b98ff15Test
https://doi.org/10.1016/j.gim.2021.12.005Test

المؤلفون: Lynn S. Pais, Hana Snow, Ben Weisburd, Shifa Zhang, Samantha M. Baxter, Stephanie DiTroia, Emily O'Heir, Eleina England, Katherine R. Chao, Gabrielle Lemire, Ikeoluwa Osei‐Owusu, Grace E. VanNoy, Michael Wilson, Kevin Nguyen, Harindra Arachchi, William Phu, Matthew Solomonson, Stacy Mano, Melanie O'Leary, Alysia Lovgren, Lawrence Babb, Christina A. Austin‐Tse, Heidi L. Rehm, Daniel G. MacArthur, Anne O'Donnell‐Luria

المصدر: Hum Mutat

مصطلحات موضوعية: Internet, Rare Diseases, Genetics, Humans, Exome, Genomics, Genetics (clinical), Software, Article

الوصف: Exome and genome sequencing have become the tools of choice for rare disease diagnosis, leading to large amounts of data available for analyses. To identify causal variants in these datasets, powerful filtering and decision support tools that can be efficiently used by clinicians and researchers are required. To address this need, we developed seqr - an open source, web-based tool for family-based monogenic disease analysis that allows researchers to work collaboratively to search and annotate genomic callsets. To date, seqr is being used in several research pipelines and one clinical diagnostic lab. In our own experience through the Broad Institute Center for Mendelian Genomics, seqr has enabled analyses of over 10,000 families, supporting the diagnosis of more than 3,800 individuals with rare disease and discovery of over 300 novel disease genes. Here, we describe a framework for genomic analysis in rare disease that leverages seqr’s capabilities for variant filtration, annotation, and causal variant identification, as well as support for research collaboration and data sharing. The seqr platform is available as open-source software, allowing low-cost participation in rare disease research, and a community effort to support diagnosis and gene discovery in rare disease.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c9188229c0d21b0aabda26996efacfTest
https://pubmed.ncbi.nlm.nih.gov/35266241Test