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27 results on '"SHI Yuxin"'

3. METTL3‐mediated N6‐methyladenosine exacerbates ferroptosis via m6A‐IGF2BP2‐dependent mitochondrial metabolic reprogramming in sepsis‐induced acute lung injury

Author

Zhang, Hao, primary, Wu, Dan, additional, Wang, Yanghanzhao, additional, Guo, Kefang, additional, Spencer, Charles B., additional, Ortoga, Lilibeth, additional, Qu, Mengdi, additional, Shi, Yuxin, additional, Shao, Yuwen, additional, Wang, Zhiping, additional, Cata, Juan P., additional, and Miao, Changhong, additional

Published
2023
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11. Back Cover: Carbon dots: An innovative luminescent nanomaterial

Author

Shi, Yuxin, primary, Xu, Huimin, additional, Yuan, Ting, additional, Meng, Ting, additional, Wu, Hao, additional, Chang, Jianqiao, additional, Wang, Haoyu, additional, Song, Xianzhi, additional, Li, Yunchao, additional, Li, Xiaohong, additional, Zhang, Yang, additional, Xie, Wenjing, additional, and Fan, Louzhen, additional

Published
2022
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13. Carbon dots: An innovative luminescent nanomaterial

Author

Shi, Yuxin, primary, Xu, Huimin, additional, Yuan, Ting, additional, Meng, Ting, additional, Wu, Hao, additional, Chang, Jianqiao, additional, Wang, Haoyu, additional, Song, Xianzhi, additional, Li, Yunchao, additional, Li, Xiaohong, additional, Zhang, Yang, additional, Xie, Wenjing, additional, and Fan, Louzhen, additional

Published
2021
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18. Evaluation of Nutrition Risk and Its Association With Mortality Risk in Severely and Critically Ill COVID‐19 Patients

Author

Zhao, Xiaobo, primary, Li, Yan, additional, Ge, Yanyan, additional, Shi, Yuxin, additional, Lv, Ping, additional, Zhang, Jianchu, additional, Fu, Gui, additional, Zhou, Yanfen, additional, Jiang, Ke, additional, Lin, Nengxing, additional, Bai, Tao, additional, Jin, Runming, additional, Wu, Yuanjue, additional, Yang, Xuefeng, additional, and Li, Xin, additional

Published
2020
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26. Conserved immuno-collagenic subtypes predict response to immune checkpoint blockade.

Author

Mei J, Cai Y, Xu R, Li Q, Chu J, Luo Z, Sun Y, Shi Y, Xu J, Li D, Liang S, Jiang Y, Liu J, Qian Z, Zhou J, Wan M, Yang Y, Zhu Y, Zhang Y, and Yin Y

Subjects
Humans, Tumor Microenvironment immunology, Animals, Biomarkers, Tumor, Extracellular Matrix metabolism, Mice, Transcriptome, Female, Prognosis, Immune Checkpoint Inhibitors therapeutic use, Neoplasms immunology, Neoplasms drug therapy, Neoplasms genetics, Collagen metabolism
Abstract

Background: Immune checkpoint blockade (ICB) has revolutionized the treatment of various cancer types. Despite significant preclinical advancements in understanding mechanisms, identifying the molecular basis and predictive biomarkers for clinical ICB responses remains challenging. Recent evidence, both preclinical and clinical, underscores the pivotal role of the extracellular matrix (ECM) in modulating immune cell infiltration and behaviors. This study aimed to create an innovative classifier that leverages ECM characteristics to enhance the effectiveness of ICB therapy., Methods: We analyzed transcriptomic collagen activity and immune signatures in 649 patients with cancer undergoing ICB therapy. This analysis led to the identification of three distinct immuno-collagenic subtypes predictive of ICB responses. We validated these subtypes using the transcriptome data from 9,363 cancer patients from The Cancer Genome Atlas (TCGA) dataset and 1,084 in-house samples. Additionally, novel therapeutic targets were identified based on these established immuno-collagenic subtypes., Results: Our categorization divided tumors into three subtypes: "soft & hot" (low collagen activity and high immune infiltration), "armored & cold" (high collagen activity and low immune infiltration), and "quiescent" (low collagen activity and immune infiltration). Notably, "soft & hot" tumors exhibited the most robust response to ICB therapy across various cancer types. Mechanistically, inhibiting collagen augmented the response to ICB in preclinical models. Furthermore, these subtypes demonstrated associations with immune activity and prognostic predictive potential across multiple cancer types. Additionally, an unbiased approach identified B7 homolog 3 (B7-H3), an available drug target, as strongly expressed in "armored & cold" tumors, relating with poor prognosis., Conclusion: This study introduces histopathology-based universal immuno-collagenic subtypes capable of predicting ICB responses across diverse cancer types. These findings offer insights that could contribute to tailoring personalized immunotherapeutic strategies for patients with cancer., (© 2024 The Authors. Cancer Communications published by John Wiley & Sons Australia, Ltd on behalf of Sun Yat‐sen University Cancer Center.)

Published
2024
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27. Evaluation of Nutrition Risk and Its Association With Mortality Risk in Severely and Critically Ill COVID-19 Patients.

Author

Zhao X, Li Y, Ge Y, Shi Y, Lv P, Zhang J, Fu G, Zhou Y, Jiang K, Lin N, Bai T, Jin R, Wu Y, Yang X, and Li X

Subjects
COVID-19 diagnosis, COVID-19 mortality, COVID-19 Nucleic Acid Testing, China epidemiology, Critical Care, Humans, Nutritional Support, Retrospective Studies, SARS-CoV-2, COVID-19 therapy, Critical Illness, Nutrition Assessment, Nutritional Status
Abstract

Background: The nutrition status of coronavirus disease 2019 patients is unknown. This study evaluates clinical and nutrition characteristics of severely and critically ill patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and investigates the relationship between nutrition risk and clinical outcomes., Methods: A retrospective, observational study was conducted at West Campus of Union Hospital in Wuhan. Patients confirmed with SARS-CoV-2 infection by a nucleic acid-positive test and identified as severely or critically ill were enrolled in this study. Clinical data and outcomes information were collected and nutrition risk was assessed using Nutritional Risk Screening 2002 (NRS)., Results: In total, 413 patients were enrolled in this study, including 346 severely and 67 critically ill patients. Most patients, especially critically ill patients, had significant changes in nutrition-related parameters and inflammatory markers. As for nutrition risk, the critically ill patients had significantly higher proportion of high NRS scores (P < .001), which were correlated with inflammatory and nutrition-related markers. Among 342 patients with NRS score ≥3, only 84 (of 342, 25%) received nutrition support. Critically ill patients and those with higher NRS score had a higher risk of mortality and longer stay in hospital. In logistic regression models, 1-unit increase in NRS score was associated with the risk of mortality increasing by 1.23 times (adjusted odds ratio, 2.23; 95% CI, 1.10-4.51; P = .026)., Conclusions: Most severely and critically ill patients infected with SARS-CoV-2 are at nutrition risk. The patients with higher nutrition risk have worse outcome and require nutrition therapy., (© 2020 American Society for Parenteral and Enteral Nutrition.)

Published
2021
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