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Hao L, Bakkes THGF, van Diepen A, Chennakeshava N, Bouwman RA, De Bie Dekker AJR, Woerlee PH, Mojoli F, Mischi M, Shi Y, Turco S. An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection. Comput Methods Programs Biomed 2024; 250:108175. [PMID: 38640840 DOI: 10.1016/j.cmpb.2024.108175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/11/2024] [Accepted: 04/11/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND AND OBJECTIVE Mechanical ventilation is a life-saving treatment for critically-ill patients. During treatment, patient-ventilator asynchrony (PVA) can occur, which can lead to pulmonary damage, complications, and higher mortality. While traditional detection methods for PVAs rely on visual inspection by clinicians, in recent years, machine learning models are being developed to detect PVAs automatically. However, training these models requires large labeled datasets, which are difficult to obtain, as labeling is a labour-intensive and time-consuming task, requiring clinical expertise. Simulating the lung-ventilator interactions has been proposed to obtain large labeled datasets to train machine learning classifiers. However, the obtained data lacks the influence of different hardware, of servo-controlled algorithms, and different sources of noise. Here, we propose VentGAN, an adversarial learning approach to improve simulated data by learning the ventilator fingerprints from unlabeled clinical data. METHODS In VentGAN, the loss functions are designed to add characteristics of clinical waveforms to the generated results, while preserving the labels of the simulated waveforms. To validate VentGAN, we compare the performance for detection and classification of PVAs when training a previously developed machine learning algorithm with the original simulated data and with the data generated by VentGAN. Testing is performed on independent clinical data labeled by experts. The McNemar test is applied to evaluate statistical differences in the obtained classification accuracy. RESULTS VentGAN significantly improves the classification accuracy for late cycling, early cycling and normal breaths (p< 0.01); no significant difference in accuracy was observed for delayed inspirations (p = 0.2), while the accuracy decreased for ineffective efforts (p< 0.01). CONCLUSIONS Generation of realistic synthetic data with labels by the proposed framework is feasible and represents a promising avenue for improving training of machine learning models.
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Affiliation(s)
- L Hao
- Electrical Engineering, Eindhoven University of Technology, Eindhoven University of Technology, Den Dolech 12, Eindhoven 5612AZ, the Netherlands
| | - T H G F Bakkes
- Electrical Engineering, Eindhoven University of Technology, Eindhoven University of Technology, Den Dolech 12, Eindhoven 5612AZ, the Netherlands
| | - A van Diepen
- Electrical Engineering, Eindhoven University of Technology, Eindhoven University of Technology, Den Dolech 12, Eindhoven 5612AZ, the Netherlands
| | - N Chennakeshava
- Electrical Engineering, Eindhoven University of Technology, Eindhoven University of Technology, Den Dolech 12, Eindhoven 5612AZ, the Netherlands
| | - R A Bouwman
- Catharina Hospital, Michelangelolaan 2, Eindhoven, Noord-Brabant, EJ 5623, the Netherlands
| | - A J R De Bie Dekker
- Catharina Hospital, Michelangelolaan 2, Eindhoven, Noord-Brabant, EJ 5623, the Netherlands
| | - P H Woerlee
- Catharina Hospital, Michelangelolaan 2, Eindhoven, Noord-Brabant, EJ 5623, the Netherlands
| | - F Mojoli
- Fondazione I.R.C.C.S. Policlinico San Matteo and the University of Pavia, S.da Nuova, 65, Pavia 27100, Italy
| | - M Mischi
- Electrical Engineering, Eindhoven University of Technology, Eindhoven University of Technology, Den Dolech 12, Eindhoven 5612AZ, the Netherlands
| | - Y Shi
- School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
| | - S Turco
- Electrical Engineering, Eindhoven University of Technology, Eindhoven University of Technology, Den Dolech 12, Eindhoven 5612AZ, the Netherlands.
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Fan Y, Shi Y, Wu Y, Yang F, Zhang C, Gu M, Hu P, Duan W, Wang H, Zhou Y. A nomogram-based prediction model for dysphagia in patients with chronic obstructive pulmonary disease: A cross-sectional study. J Clin Nurs 2024. [PMID: 38764243 DOI: 10.1111/jocn.17208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/21/2024] [Accepted: 04/27/2024] [Indexed: 05/21/2024]
Abstract
AIM AND OBJECTIVES To investigate the prevalence of dysphagia in patients with COPD, identify the risk factors for dysphagia, develop a visual clinical prediction model and quantitatively predict the probability of developing dysphagia. BACKGROUND Patients with COPD are at high risk of dysphagia, which is strongly linked to the acute exacerbation of their condition. The use of effective tools to predict its risk may contribute to the early identification and treatment of dysphagia in patients with COPD. DESIGN A cross-sectional design. METHODS From July 2021 to April 2023, we enrolled 405 patients with COPD for this study. The clinical prediction model was constructed according to the results of a univariate analysis and a logistic regression analysis, evaluated by discrimination, calibration and decision curve analysis and visualized by a nomogram. This study was reported using the TRIPOD checklist. RESULTS In total, 405 patients with COPD experienced dysphagia with a prevalence of 59.01%. A visual prediction model was constructed based on age, whether combined with cerebrovascular disease, chronic pulmonary heart disease, acute exacerbation of COPD, home noninvasive positive pressure ventilation, dyspnoea level and xerostomia level. The model exhibited excellent discrimination at an AUC of .879. Calibration curve analysis indicated a good agreement between experimental and predicted values, and the decision curve analysis showed a high clinical utility. CONCLUSION The model we devised may be used in clinical settings to predict the occurrence of dysphagia in patients with COPD at an early stage. RELEVANCE TO CLINICAL PRACTICE The model can help nursing staff to calculate the risk probability of dysphagia in patients with COPD, formulate personalized preventive care measures for high-risk groups as soon as possible to achieve early prevention or delay of dysphagia and its related complications and improve the prognosis. PATIENT OR PUBLIC CONTRIBUTION No patient or public contribution.
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Affiliation(s)
- Ying Fan
- Xiangyang No 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Yuxin Shi
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Xicheng, China
| | - Yunyun Wu
- Xiangyang No 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Fang Yang
- Xiangyang No 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Chao Zhang
- Xiangyang Hospital affiliated to of Hubei University of Chinese Medicine, Xiangyang, China
| | - Mengjun Gu
- Xiangyang No 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Pengchao Hu
- Xiangyang No 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | | | - Hongli Wang
- Xiangyang No 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Yumei Zhou
- Xiangyang No 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
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3
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Zhuang D, Wang S, Deng H, Shi Y, Liu C, Leng X, Zhang Q, Bai F, Zheng B, Guo J, Wu X. Phenformin activates ER stress to promote autophagic cell death via NIBAN1 and DDIT4 in oral squamous cell carcinoma independent of AMPK. Int J Oral Sci 2024; 16:35. [PMID: 38719825 PMCID: PMC11079060 DOI: 10.1038/s41368-024-00297-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/05/2024] [Accepted: 03/17/2024] [Indexed: 05/12/2024] Open
Abstract
The efficient clinical treatment of oral squamous cell carcinoma (OSCC) is still a challenge that demands the development of effective new drugs. Phenformin has been shown to produce more potent anti-tumor activities than metformin on different tumors, however, not much is known about the influence of phenformin on OSCC cells. We found that phenformin suppresses OSCC cell proliferation, and promotes OSCC cell autophagy and apoptosis to significantly inhibit OSCC cell growth both in vivo and in vitro. RNA-seq analysis revealed that autophagy pathways were the main targets of phenformin and identified two new targets DDIT4 (DNA damage inducible transcript 4) and NIBAN1 (niban apoptosis regulator 1). We found that phenformin significantly induces the expression of both DDIT4 and NIBAN1 to promote OSCC autophagy. Further, the enhanced expression of DDIT4 and NIBAN1 elicited by phenformin was not blocked by the knockdown of AMPK but was suppressed by the knockdown of transcription factor ATF4 (activation transcription factor 4), which was induced by phenformin treatment in OSCC cells. Mechanistically, these results revealed that phenformin triggers endoplasmic reticulum (ER) stress to activate PERK (protein kinase R-like ER kinase), which phosphorylates the transitional initial factor eIF2, and the increased phosphorylation of eIF2 leads to the increased translation of ATF4. In summary, we discovered that phenformin induces its new targets DDIT4 and especially NIBAN1 to promote autophagic and apoptotic cell death to suppress OSCC cell growth. Our study supports the potential clinical utility of phenformin for OSCC treatment in the future.
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Affiliation(s)
- Dexuan Zhuang
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
| | - Shuangshuang Wang
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Huiting Deng
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
| | - Yuxin Shi
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
| | - Chang Liu
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Xue Leng
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Qun Zhang
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Fuxiang Bai
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Bin Zheng
- Cedars-Sinai Cancer Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jing Guo
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China.
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China.
| | - Xunwei Wu
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China.
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China.
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Liu J, Fang X, Cao S, Shi Y, Li S, Liu H, Li Y, Xu S, Xia W. Associations of ambient temperature and total cloud cover during pregnancy with newborn vitamin D status. Public Health 2024; 231:179-186. [PMID: 38703492 DOI: 10.1016/j.puhe.2024.03.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/24/2024] [Accepted: 03/27/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES We aimed to estimate the effects of temperature and total cloud cover before birth on newborn vitamin D status. STUDY DESIGN Prospective birth cohort. METHODS This study included 2055 mother-newborn pairs in Wuhan, Hubei province, China. The data of temperature and total cloud cover from 30 days before birth were collected, and cord blood 25-hydroxyvitamin D [25(OH)D] were determined. Restricted cubic spline regression models, multiple linear regression models, and logistic regression models were applied to estimate the associations. RESULTS A "J" shaped curve was observed between temperature and vitamin D status, and an inverse "J" shaped curve was observed between total cloud cover and vitamin D status. Compared to the fourth quartile (75-100th percentile, Q4) of average temperature (30 days before birth), the odds ratio (OR) for Q1 (0-25th percentile) associated with the vitamin D deficiency occurrence (<20 ng/mL) was 3.63 (95% CI, 1.54, 8.65). Compared to Q1 of the average total cloud cover (30 days before birth), the OR associated with the occurrence of vitamin D deficiency was 2.38 (95% CI, 1.63, 3.50) for the Q4. CONCLUSIONS Low temperature and high cloud cover before delivery were significantly associated with an increased probability of vitamin D deficiency in newborns. The findings suggested that pregnancy women lacking sufficient sunlight exposure still need vitamin D supplement to overcome the potential vitamin D deficiency status.
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Affiliation(s)
- J Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - X Fang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Cao
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Shi
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - H Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - W Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Shi Y, Cao K, Wang ZJ, Han JG. [Mechanisms and clinical management of small bowel obstruction caused by kinking of the jejunojejunal anastomosis after laparoscopic Roux-en-Y gastric bypass]. Zhonghua Wai Ke Za Zhi 2024; 62:457-461. [PMID: 38548616 DOI: 10.3760/cma.j.cn112139-20231130-00247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
Currently, obesity and its complications have become increasingly serious health issues. Bariatric surgery is an effective method of treating obesity and related metabolic complications. Among them, Roux-en-Y gastric bypass (RYGB) is still considered the "gold standard" procedure for bariatric surgery. Small bowel obstruction is one of the possible complications after RYGB, and in addition to the formation of intra-abdominal hernias, kinking of the jejunojejunal anastomosis is an important cause of small bowel obstruction. The early clinical symptoms of kinking of the jejunojejunal anastomosis often lack clarity in the early stages. Therefore, early diagnosis, prevention, and effective treatment of kinking of the jejunojejunal anastomosis are challenging but crucial. The occurrence of kinking of the jejunojejunal anastomosis may be related to surgical techniques and the surgeon's experience. The use of anti-obstruction stitch, mesenteric division, and bidirectional jejunojejunal anastomosis may be beneficial in preventing kinking of the jejunojejunal anastomosis. If kinking of the jejunojejunal anastomosis occurs, timely abdominal CT scans and endoscopic examinations should be performed. Gastric and intestinal decompression should be initiated immediately, and exploratory surgery should be prepared.
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Affiliation(s)
- Y Shi
- Department of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - K Cao
- Department of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Z J Wang
- Department of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - J G Han
- Department of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
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Wang R, Shi Y, Lv Y, Xie C, Hu Y. The novel insights of epithelial-derived exosomes in various fibrotic diseases. Biomed Pharmacother 2024; 174:116591. [PMID: 38631144 DOI: 10.1016/j.biopha.2024.116591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 04/19/2024] Open
Abstract
The characteristics of fibrosis include the abnormal accumulation of extracellular matrix proteins and abnormal tissue repair caused by injury, infection, and inflammation, leading to a significant increase in organ failure and mortality. Effective and precise treatments are urgently needed to halt and reverse the progression of fibrotic diseases. Exosomes are tiny vesicles derived from endosomes, spanning from 40 to 160 nanometers in diameter, which are expelled into the extracellular matrix environment by various cell types. They play a crucial role in facilitating cell-to-cell communication by transporting a variety of cargoes, including proteins, RNA, and DNA. Epithelial cells serve as the primary barrier against diverse external stimuli that precipitate fibrotic diseases. Numerous research suggests that exosomes from epithelial cells have a significant impact on several fibrotic diseases. An in-depth comprehension of the cellular and molecular mechanisms of epithelial cell-derived exosomes in fibrosis holds promise for advancing the exploration of novel diagnostic biomarkers and clinical drug targets. In this review, we expand upon the pathogenic mechanisms of epithelium-derived exosomes and highlight their role in the fibrotic process by inducing inflammation and activating fibroblasts. In addition, we are particularly interested in the bioactive molecules carried by epithelial-derived exosomes and their potential value in the diagnosis and treatment of fibrosis and delineate the clinical utility of exosomes as an emerging therapeutic modality, highlighting their potential application in addressing various medical conditions.
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Affiliation(s)
- Rifu Wang
- Hunan Key Laboratory of Oral Health Research, Hunan 3D Printing Engineering Research Center of Oral Care, Academician Workstation for Oral-maxilofacial and Regenerative Medicine, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Xiangya Stomatological Hospital, Xiangya School of Stomatology, Central South University, Changsha, Hunan, China
| | - Yuxin Shi
- Hunan Key Laboratory of Oral Health Research, Hunan 3D Printing Engineering Research Center of Oral Care, Academician Workstation for Oral-maxilofacial and Regenerative Medicine, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Xiangya Stomatological Hospital, Xiangya School of Stomatology, Central South University, Changsha, Hunan, China
| | - Yonglin Lv
- Hunan Key Laboratory of Oral Health Research, Hunan 3D Printing Engineering Research Center of Oral Care, Academician Workstation for Oral-maxilofacial and Regenerative Medicine, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Xiangya Stomatological Hospital, Xiangya School of Stomatology, Central South University, Changsha, Hunan, China
| | - Changqing Xie
- Hunan Key Laboratory of Oral Health Research, Hunan 3D Printing Engineering Research Center of Oral Care, Academician Workstation for Oral-maxilofacial and Regenerative Medicine, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Xiangya Stomatological Hospital, Xiangya School of Stomatology, Central South University, Changsha, Hunan, China; NHC Key Laboratory of Carcinogenesis, Cancer Research Institute, School of Basic Medicine, Central South University, Changsha, Hunan, China.
| | - Yanjia Hu
- Hunan Key Laboratory of Oral Health Research, Hunan 3D Printing Engineering Research Center of Oral Care, Academician Workstation for Oral-maxilofacial and Regenerative Medicine, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Xiangya Stomatological Hospital, Xiangya School of Stomatology, Central South University, Changsha, Hunan, China.
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Li GS, Peng C, Shi Y, Wang Y, Chen BY. [Techniques for quantifying endotypes of obstructive sleep apnea]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:383-388. [PMID: 38599817 DOI: 10.3760/cma.j.cn112147-20231027-00274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Obstructive sleep apnea (OSA) is the frequent occurrence of apnea and/or hypopnea during sleep, leading to intermittent hypoxia, hypercapnia, and disruption of sleep architecture, further resulting in multisystem damage. The pathophysiological mechanisms include abnormal anatomical structure, low arousal threshold, high loop gain, and poor muscle reactivity, etc. As there are individual differences in the underlying mechanisms of OSA (i.e. endotypes), the effectiveness of treatment and prognosis may also vary according to these characteristics. Understanding the endotype of OSA is critical to understanding which patients are most likely to benefit from non-invasive ventilation therapy. Quantification of endotypes is central to the precision treatment of OSA and may provide the basis for accurate clinical treatment of OSA based on endotypes.
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Affiliation(s)
- G S Li
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - C Peng
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Y Shi
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Y Wang
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - B Y Chen
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China
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Shi Y, Zhang Y, Wang Z, Yuan T, Meng T, Li Y, Li X, Yuan F, Tan Z, Fan L. Onion-like multicolor thermally activated delayed fluorescent carbon quantum dots for efficient electroluminescent light-emitting diodes. Nat Commun 2024; 15:3043. [PMID: 38589394 PMCID: PMC11001924 DOI: 10.1038/s41467-024-47372-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 03/27/2024] [Indexed: 04/10/2024] Open
Abstract
Carbon quantum dots are emerging as promising nanomaterials for next-generation displays. The elaborate structural design is crucial for achieving thermally activated delayed fluorescence, particularly for improving external quantum efficiency of electroluminescent light-emitting diodes. Here, we report the synthesis of onion-like multicolor thermally activated delayed fluorescence carbon quantum dots with quantum yields of 42.3-61.0%. Structural, spectroscopic characterization and computational studies reveal that onion-like structures assembled from monomer carbon quantum dots of different sizes account for the decreased singlet-triplet energy gap, thereby achieving efficient multicolor thermally activated delayed fluorescence. The devices exhibit maximum luminances of 3785-7550 cd m-2 and maximum external quantum efficiency of 6.0-9.9%. Importantly, owing to the weak van der Waals interactions and adequate solution processability, flexible devices with a maximum luminance of 2554 cd m-2 are realized. These findings facilitate the development of high-performance carbon quantum dots-based electroluminescent light-emitting diodes that are promising for practical applications.
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Affiliation(s)
- Yuxin Shi
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Yang Zhang
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China.
| | - Zhibin Wang
- College of Physics and Energy, Fujian Normal University, Fuzhou, 350117, China
| | - Ting Yuan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Ting Meng
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Yunchao Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Xiaohong Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Fanglong Yuan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China.
| | - Zhan'ao Tan
- Beijing Advanced Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
| | - Louzhen Fan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China.
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Gong HL, Tian S, Ding H, Tao L, Wang L, Wang J, Wang T, Zhang M, Shi Y, Xu CZ, Wu CP, Wang SZ, Zhou L. [Clinical efficacy of induction chemoimmunotherapy for locally advanced hypopharyngeal carcinoma: a prospective phase Ⅱ study]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2024; 59:350-356. [PMID: 38599645 DOI: 10.3760/cma.j.cn115330-20240129-00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Objective: To evaluate the objective response rate (ORR) of induction chemoimmunotherapy with camrelizumab plus TPF (docetaxel, cisplatin, and capecitabine) for locally advanced hypopharyngeal squamous cell carcinoma (LA HSCC) and potential predictive factors for ORR. Methods: A single-center, prospective, phase 2 and single-arm trial was conducted for evaluating antitumor activity of camrelizumab+TPF(docetaxel+cisplatin+capecitabine) for LA HSCC between May 21, 2021 and April 15, 2023, patients admitted to the Eye & ENT Hospital affiliated with Fudan University. The primary endpoint was ORR, and enrolled patients with LA HSCC at T3-4N0-3M0 received induction chemoimmunotherapy for three cycles: camrelizumab 200 mg day 1, docetaxel 75 mg/m2 day 1, cisplatin 25 mg/m2 days 1-3, and capecitabine 800 mg/m2 days 1-14. Patients were assigned to radioimmunotherapy when they had complete response or partial response (PR)>70% (Group A), or assigned to surgery plus adjuvant radiotherapy/chemoradiotherapy when they had PR≤70% (Group B), and the responses were defined by using tumor volume evaluation system. Tumor diameter was also used to assess the treatment responses by Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. Use SPSS 23.0 software was used to analyze the data. Results: A total of 51 patients were enrolled who underwent the induced chemoimmunotherapy for three cycles, and all were males, aged 35-69 years old. After three cycles of induction immunochemotherapy, 42 (82.4%) patients existed in Group A (complete response or PR>70%) and 9 patients (17.6%) in Group B (PR≤70%), the ORR was 82.4%. The primary endpoint achieved expected main research objectives. Compared to the patients of Group A, the patients of Group B showed the higher T stage and the larger volume of primary tumor before induced immunochemotherapy, and also had the less regression of tumor volume after induced immunochemotherapy (all P<0.05). The optimal cutoff value of pre-treatment tumor volume for predicting ORR was 39 cm3. The T stage (OR=12.71, 95%CI: 1.4-112.5, P=0.022) and the volume (OR=7.1, 95%CI: 1.4-36.8, P=0.018) of primary tumor were the two main factors affecting ORR rate of induction chemoimmunotherapy. Conclusion: The induction chemoimmunotherapy with camrelizumab plus TPF shows an encouraging antitumor efficacy in LA HSCC.
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Affiliation(s)
- H L Gong
- Department of Otorhinolaryngology Head and Neck Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - S Tian
- Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - H Ding
- Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - L Tao
- Department of Otorhinolaryngology Head and Neck Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - L Wang
- Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - J Wang
- Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - T Wang
- Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - M Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - Y Shi
- Department of Otorhinolaryngology Head and Neck Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - C Z Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - C P Wu
- Department of Otorhinolaryngology Head and Neck Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - S Z Wang
- Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
| | - L Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China
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Liu C, Zhang Q, Liu Z, Zhuang D, Wang S, Deng H, Shi Y, Sun J, Guo J, Wei F, Wu X. miR-21 Expressed by Dermal Fibroblasts Enhances Skin Wound Healing Through the Regulation of Inflammatory Cytokine Expression. Inflammation 2024; 47:572-590. [PMID: 38041730 DOI: 10.1007/s10753-023-01930-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 10/20/2023] [Accepted: 11/06/2023] [Indexed: 12/03/2023]
Abstract
The management of skin wound healing is still a challenge. MicroRNA-21 (miR-21) has been reported to play important roles in wound repair; however, the underlying mechanism needs to be further clarified. The present study aimed to study the direct role of miR-21 in skin wound healing in miR-21 KO mice and to investigate the role of miR-21 in controlling the migration and proliferation of primary human skin cells and its underlying mechanism(s). miR-21 KO and wild-type (WT) mice were used for in vivo wound healing assays, while mouse and human primary skin cells were used for in vitro assays. miR-21 inhibitors or mimics or negative control small RNAs were transfected to either inhibit or enhance miR-21 expression in the human primary dermal fibroblasts or epidermal cells. RNA sequencing analysis was performed to identify the potential molecular pathways involved. We found that the loss of miR-21 resulted in slower wound healing in miR-21 KO mouse skin and especially delayed the healing of dermal tissue. In vitro assays demonstrated that the reduced expression of miR-21 caused by its inhibitor inhibited the migration of human primary dermal fibroblasts, which could be enhanced by increased miR-21 expression caused by miR-21 mimics. RNA-sequence analysis revealed that the inhibition of miR-21 expression downregulated the inflammatory response pathways associated with the decreased expression of inflammatory cytokines, and the addition of IL-1β into the culture medium enhanced the migration and proliferation of dermal fibroblasts in vitro. In conclusion, miR-21 in dermal fibroblasts can promote the migration and growth of epidermal and dermal cells to enhance skin wound healing through controlling the expression of inflammatory cytokines.
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Affiliation(s)
- Chang Liu
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
- Department of Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Qun Zhang
- Department of Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Zhenan Liu
- Department of Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Dexuan Zhuang
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
- Department of Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Shuangshuang Wang
- Department of Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Huiting Deng
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
| | - Yuxin Shi
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
| | - Jianfeng Sun
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
| | - Jing Guo
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China
- Department of Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, No. 44-1 Wenhua Road West, Jinan, Shandong, China
| | - Fulan Wei
- Department of Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, No. 44-1 Wenhua Road West, Jinan, Shandong, China.
| | - Xunwei Wu
- Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Savaid Stomatology School, Hangzhou Medical College, Ningbo, China.
- Department of Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China.
- Suzhou Research Institute, Shandong University, No. 388 Ruoshui Road, Suzhou, Jiangsu, China.
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Sun K, Li M, Shi Y, He H, Li Y, Sun L, Wang H, Jin C, Chen M, Li L. Convolutional neural network for identifying common bile duct stones based on magnetic resonance cholangiopancreatography. Clin Radiol 2024:S0009-9260(24)00164-8. [PMID: 38616474 DOI: 10.1016/j.crad.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/31/2024] [Accepted: 02/27/2024] [Indexed: 04/16/2024]
Abstract
AIMS To develop an auto-categorization system based on machine learning for three-dimensional magnetic resonance cholangiopancreatography (3D MRCP) to detect choledocholithiasis from healthy and symptomatic individuals. MATERIALS AND METHODS 3D MRCP sequences from 254 cases with common bile duct (CBD) stones and 251 cases with normal CBD were enrolled to train the 3D Convolutional Neural Network (3D-CNN) model. Then 184 patients from three different hospitals (91 with positive CBD stone and 93 with normal CBD) were prospectively included to test the performance of 3D-CNN. RESULTS With a cutoff value of 0.2754, 3D-CNN achieved the sensitivity, specificity, and accuracy of 94.51%, 92.47%, and 93.48%, respectively. In the receiver operating characteristic curve analysis, the area under the curve (AUC) for the presence or absence of CBD stones was 0.974 (95% CI, 0.940-0.992). There was no significant difference in sensitivity, specificity, and accuracy between 3D-CNN and radiologists. In addition, the performance of 3D-CNN was also evaluated in the internal test set and the external test set, respectively. The internal test set yielded an accuracy of 94.74% and AUC of 0.974 (95% CI, 0.919-0.996), and the external test set yielded an accuracy of 92.13% and AUC of 0.970 (95% CI, 0.911-0.995). CONCLUSIONS An artificial intelligence-assisted diagnostic system for CBD stones was constructed using 3D-CNN model for 3D MRCP images. The performance of 3D-CNN model was comparable to that of radiologists in diagnosing CBD stones. 3D-CNN model maintained high performance when applied to data from other hospitals.
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Affiliation(s)
- K Sun
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - M Li
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Y Shi
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - H He
- People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
| | - Y Li
- People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
| | - L Sun
- The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.
| | - H Wang
- Zhejiang Herymed Technology Co., Ltd., Hangzhou, China; Hithink Flush Information Network Co., Ltd., Hangzhou, China.
| | - C Jin
- Zhejiang Herymed Technology Co., Ltd., Hangzhou, China; Hithink Flush Information Network Co., Ltd., Hangzhou, China.
| | - M Chen
- Hithink Flush Information Network Co., Ltd., Hangzhou, China.
| | - L Li
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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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, Yin Y. Conserved immuno-collagenic subtypes predict response to immune checkpoint blockade. Cancer Commun (Lond) 2024. [PMID: 38507505 DOI: 10.1002/cac2.12538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/06/2024] [Accepted: 03/10/2024] [Indexed: 03/22/2024] Open
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.
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Affiliation(s)
- Jie Mei
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- The First Clinical Medicine College, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Yun Cai
- Departments of Gynecology, Wuxi Maternal and Child Health Care Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Rui Xu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- The First Clinical Medicine College, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Qing Li
- Departments of Oncology, Xuzhou Central Hospital, The Xuzhou School of Clinical Medicine of Nanjing Medical University, Xuzhou, Jiangsu, P. R. China
| | - Jiahui Chu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- The First Clinical Medicine College, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Zhiwen Luo
- Department of Sports Medicine, Huashan Hospital Affiliated to Fudan University, Shanghai, P. R. China
| | - Yaying Sun
- Department of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Yuxin Shi
- Departments of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Junying Xu
- Departments of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Di Li
- Shanghai Outdo Biotech Co., Ltd., National Engineering Center for Biochip, Shanghai, P. R. China
| | - Shuai Liang
- Departments of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Ying Jiang
- Departments of Gynecology, Wuxi Maternity and Child Health Care Hospital, Affiliated Women's Hospital of Jiangnan University, Wuxi, Jiangsu, P. R. China
| | - Jiayu Liu
- Departments of Gynecology, Wuxi Maternity and Child Health Care Hospital, Affiliated Women's Hospital of Jiangnan University, Wuxi, Jiangsu, P. R. China
| | - Zhiwen Qian
- Departments of Gynecology, Wuxi Maternal and Child Health Care Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Jiaofeng Zhou
- Department of Physiology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Mengyun Wan
- Department of Physiology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Yunlong Yang
- Department of Cellular and Genetic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, P. R. China
| | - Yichao Zhu
- Department of Physiology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Yan Zhang
- Departments of Gynecology, Wuxi Maternal and Child Health Care Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
- Departments of Gynecology, Wuxi Maternity and Child Health Care Hospital, Affiliated Women's Hospital of Jiangnan University, Wuxi, Jiangsu, P. R. China
| | - Yongmei Yin
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
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Dong YJ, Guo YF, Ruan Y, Sun SY, Jiang AL, Wang JQ, Shi Y, Wu F. [Association between vitamin D level and grip strength in adults aged 50 and older in Shanghai]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:393-400. [PMID: 38514316 DOI: 10.3760/cma.j.cn112338-20230630-00409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To understand the association between vitamin D level and grip strength in people aged ≥50 years in Shanghai. Methods: Data were obtained from the WHO's Study on Global Ageing and Adult Health in Shanghai during 2018-2019. Logistic regression model was used to analyze the association between vitamin D level and grip strength, and a stratified analysis was conducted for different gender, age and dairy product intake groups. Restricted cubic spline was used to evaluate the dose-response association between vitamin D level and low grip strength. Results: A total of 4 391 participants were included in the study, including 2 054 men (46.8%), with an average age of (67.02±8.81) years. And 1 421 individuals (32.4%) had low grip strength; 1 533 individuals (34.9%) had vitamin D deficiency, and 401 individuals (9.1%) had vitamin D deficiency. After adjusted for confounding factors, the logistic regression results analysis showed that individuals with vitamin D deficiency had a higher risk for low grip strength (OR=1.41, 95%CI: 1.09-1.83). In men, after adjusting for confounding factors, vitamin D deficiency was positively associated with the risk for low grip strength (OR=1.67, 95%CI: 1.12-2.50), but there was no significant association between vitamin D level and grip strength in women (OR=1.30, 95%CI: 0.97-1.74). In age group 60-69 years and ≥80 years, there was significant association between vitamin D deficiency and low grip strength after adjusting for confounding factors (OR=1.57, 95%CI: 1.05-2.35; OR=2.40, 95%CI: 1.08-5.31). In people who had daily intake of dairy product <250 ml, there was positive association between vitamin D deficiency and low grip strength, but there was no significant association in people who had daily dairy product ≥250 ml after adjusting for confounding factors. The restrictive cubic spline demonstrated that risk of low grip strength might decreased with the increase of vitamin D levels, however, the difference was not significant (P>0.05). Conclusions: This study demonstrated that there is association between vitamin D level and grip strength. People with vitamin D deficiency have higher risk for low grip strength.
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Affiliation(s)
- Y J Dong
- Division of Chronic and Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y F Guo
- Shanghai Institute of Preventive Medicine, Shanghai 200336, China
| | - Y Ruan
- Division of Chronic and Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - S Y Sun
- Division of Chronic and Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - A L Jiang
- Division of Chronic and Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Q Wang
- Division of Chronic and Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y Shi
- Division of Chronic and Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - F Wu
- Office for Shanghai Medical College, Fudan University, Shanghai 200032, China
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14
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Ye RH, Zhang YQ, Cao DD, Shi Y, Xiao GF, Li PY, Xu YW, Wei H, Sun JT, Yang YC, Tang RH, Wang JB, He N, Ding YY, Duan S. [Incidence of diabetes and influencing factors in HIV-infected individuals after antiretroviral therapy in Dehong Dai and Jingpo Autonomous Prefecture]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:358-364. [PMID: 38514312 DOI: 10.3760/cma.j.cn112338-20230817-00075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To understand the incidence of diabetes and influencing factors, the trend of FPG change and risk for mortality in HIV-infected individuals after antiretroviral therapy (ART) in Dehong Dai and Jingpo Autonomous Prefecture (Dehong). Methods: The HIV/AIDS treatment database was collected from China Information System for Disease Control and Prevention. This retrospective cohort study was conducted in HIV-infected individuals with access to ART in Dehong during 2004-2020.The Cox proportional hazard regression model was used to analyze the incidence density of diabetes, the influencing factors and risk for mortality in HIV-infected individuals with access to ART, mixed linear effects model was used to analyze the trend of FPG change and predict FPG in those with different glucose metabolic status at baseline survey. Statistical analysis was performed using software SAS 9.4. Results: A total of 8 763 HIV-infected individuals were included, in whom 8 432 (96.2%) had no diabetes, 331 had diabetes. The incidence density of diabetes was 2.31/1 000 person years. Multivariate Cox proportional hazard regression analysis revealed that 30- 59 years old, BMI ≥24.0 kg/m2, Efavirenz (EFV) based initial treatment regimen and impaired fasting glucose (IFG) at baseline survey were significantly and positively associated with incidence of diabetes. Mixed effect model revealed that FPG was positively correlated with the duration of ART, age and baseline FPG. Suffering from diabetes was a risk factor for mortality in HIV-infected individuals both at baseline survey and during follow-up. Conclusions: The risk for diabetes increased in HIV-infected individuals who were 30-59 years old, baseline BMI ≥24.0 kg/m2, received EFV based initial treatment, and IFG in HIV-infected individuals after antiretroviral therapy in Dehong, 2004-2020. It is important to pay close attention to their blood glucose, and patients with high blood glucose should receive treatment as early as possible.
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Affiliation(s)
- R H Ye
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - Y Q Zhang
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - D D Cao
- Dehong Dai and Jingpo Autonomous Prefecture People's Hospital, Mangshi 678400, China
| | - Y Shi
- Mangshi People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Mangshi 678400, China
| | - G F Xiao
- Dehong Dai and Jingpo Autonomous Prefecture Hospital of Traditional Chinese Medicine, Mangshi 678400, China
| | - P Y Li
- Ruili City People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Ruili 678600, China
| | - Y W Xu
- Longchuan County People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Longchuan 678700, China
| | - H Wei
- Yingjiang County People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Yingjiang 679300, China
| | - J T Sun
- Lianghe County People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Lianghe 679200, China
| | - Y C Yang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - R H Tang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - J B Wang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - N He
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y Y Ding
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - S Duan
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
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Liu R, Yu ZC, Xiao CX, Xiao SF, He J, Shi Y, Hua YY, Zhou JM, Zhang GY, Wang T, Jiang JY, Xiong DX, Chen Y, Xu HB, Yun H, Sun H, Pan TT, Wang R, Zhu SM, Huang D, Liu YJ, Hu YH, Ren XR, Shi MF, Song SZ, Luo JM, Liu J, Zhang J, Xu F. [Different methods in predicting mortality of pediatric intensive care units sepsis in Southwest China]. Zhonghua Er Ke Za Zhi 2024; 62:204-210. [PMID: 38378280 DOI: 10.3760/cma.j.cn112140-20231013-00282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Objective: To investigate the value of systemic inflammatory response syndrome (SIRS), pediatric sequential organ failure assessment (pSOFA) and pediatric critical illness score (PCIS) in predicting mortality of pediatric sepsis in pediatric intensive care units (PICU) from Southwest China. Methods: This was a prospective multicenter observational study. A total of 447 children with sepsis admitted to 12 PICU in Southwest China from April 2022 to March 2023 were enrolled. Based on the prognosis, the patients were divided into survival group and non-survival group. The physiological parameters of SIRS, pSOFA and PCIS were recorded and scored within 24 h after PICU admission. The general clinical data and some laboratory results were recorded. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare the predictive value of SIRS, pSOFA and PCIS in mortality of pediatric sepsis. Results: Amongst 447 children with sepsis, 260 patients were male and 187 patients were female, aged 2.5 (0.8, 7.0) years, 405 patients were in the survival group and 42 patients were in the non-survival group. 418 patients (93.5%) met the criteria of SIRS, and 440 patients (98.4%) met the criteria of pSOFA≥2. There was no significant difference in the number of items meeting the SIRS criteria between the survival group and the non-survival group (3(2, 4) vs. 3(3, 4) points, Z=1.30, P=0.192). The pSOFA score of the non-survival group was significantly higher than that of the survival group (9(6, 12) vs. 4(3, 7) points, Z=6.56, P<0.001), and the PCIS score was significantly lower than that of the survival group (72(68, 81) vs. 82(76, 88) points, Z=5.90, P<0.001). The predictive value of pSOFA (AUC=0.82) and PCIS (AUC=0.78) for sepsis mortality was significantly higher than that of SIRS (AUC=0.56) (Z=6.59, 4.23, both P<0.001). There was no significant difference between pSOFA and PCIS (Z=1.35, P=0.176). Platelet count, procalcitonin, lactic acid, albumin, creatinine, total bilirubin, activated partial thromboplastin time, prothrombin time and international normalized ratio were all able to predict mortality of sepsis to a certain degree (AUC=0.64, 0.68, 0.80, 0.64, 0.68, 0.60, 0.77, 0.75, 0.76, all P<0.05). Conclusion: Compared with SIRS, both pSOFA and PCIS had better predictive value in the mortality of pediatric sepsis in PICU.
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Affiliation(s)
- R Liu
- Department of Pediatric Critical Care, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China
| | - Z C Yu
- Department of Pediatric Critical Care, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China
| | - C X Xiao
- Department of Pediatric Critical Care, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China
| | - S F Xiao
- Department of Pediatric Critical Care, Kunming Children's Hospital, Kunming 650103, China
| | - J He
- Department of Pediatric Critical Care, Kunming Children's Hospital, Kunming 650103, China
| | - Y Shi
- Department of Pediatric Critical Care, the First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang 615099, China
| | - Y Y Hua
- Department of Pediatric Critical Care, the First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang 615099, China
| | - J M Zhou
- Department of Pediatric Critical Care, the First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang 615099, China
| | - G Y Zhang
- Department of Pediatric Critical Care, Chengdu Women's and Children's Central Hospital, Chengdu 610073, China
| | - T Wang
- Department of Pediatric Critical Care, Chengdu Women's and Children's Central Hospital, Chengdu 610073, China
| | - J Y Jiang
- Department of Pediatric Critical Care, Chongqing University Three Gorges Hospital, Chongqing 400030, China
| | - D X Xiong
- Department of Pediatric Critical Care, Chongqing University Three Gorges Hospital, Chongqing 400030, China
| | - Y Chen
- Department of Pediatric Critical Care, Guizhou Provincial Children's Hospital, Zunyi 563099, China
| | - H B Xu
- Department of Pediatric Critical Care, Guizhou Provincial Children's Hospital, Zunyi 563099, China
| | - H Yun
- Department of Pediatric Critical Care, Guizhou Provincial Children's Hospital, Zunyi 563099, China
| | - H Sun
- Department of Pediatric Critical Care, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China
| | - T T Pan
- Department of Pediatric Critical Care, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China
| | - R Wang
- Department of Pediatric Critical Care, Yuxi Children's Hospital, Yuxi 653199, China
| | - S M Zhu
- Department of Pediatric Critical Care, Yuxi Children's Hospital, Yuxi 653199, China
| | - D Huang
- Department of Pediatric Critical Care, Guizhou Provincial People's Hospital, Guiyang 550499, China
| | - Y J Liu
- Department of Pediatric Critical Care, Guizhou Provincial People's Hospital, Guiyang 550499, China
| | - Y H Hu
- Department of Pediatric Critical Care, Sichuan Provincial Maternity and Child Health Hospital, Chengdu 610045, China
| | - X R Ren
- Department of Pediatric Critical Care, Sichuan Provincial Maternity and Child Health Hospital, Chengdu 610045, China
| | - M F Shi
- Department of Pediatric Critical Care, the First People's Hospital of Yibin, Yibin 644099, China
| | - S Z Song
- Department of Pediatric Critical Care, the First People's Hospital of Yibin, Yibin 644099, China
| | - J M Luo
- Department of Pediatric Critical Care, the First People's Hospital of Yibin, Yibin 644099, China
| | - J Liu
- Department of Pediatric Critical Care, Nanchong Central Hospital, Nanchong 637003, China
| | - J Zhang
- Department of Pediatric Critical Care, Nanchong Central Hospital, Nanchong 637003, China
| | - F Xu
- Department of Pediatric Critical Care, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China
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Zou LW, Liu YF, Liu H, Chen B, Jiang JH, Shi Y, Guo DQ, Xu X, Dong ZH, Fu WG. [Surgical strategies and efficacy analysis for aortic dissection complicating intractable mesenteric artery ischemia]. Zhonghua Wai Ke Za Zhi 2024; 62:235-241. [PMID: 38291640 DOI: 10.3760/cma.j.cn112139-20230926-00141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Objective: To explore the surgical strategies and clinical efficacy for aortic dissection combined with refractory superior mesenteric artery (SMA) ischemia. Methods: This is a retrospective case series study. Clinical data of 24 patients with aortic dissection and refractory SMA ischemia admitted to the Department of Vascular Surgery, Zhongshan Hospital, Fudan University from August 2010 to August 2020 were retrospectively collected. Of the 24 patients, 21 were males and 3 were females, with an age of (50.3±9.9) years (range: 44 to 72 years).Among them, 9 cases were Stanford type A aortic dissection, and 15 cases were type B. All patients underwent CT angiography upon admission, and based on imaging characteristics, they were classified into three types. Type Ⅰ: severe stenosis/occlusion of the SMA true lumen only; Type Ⅱ: stenosis of the true lumens in the descending aorta and SMA (isolated type); Type Ⅲ: stenosis of the true lumens in the thoracoabdominal aorta and SMA (continuation type). Surgical procedures, complications, mortality, and reintervention rates were recorded. Results: Among the 24 patients, 17 (70.8%) were classified as Type Ⅰ, 4 (16.7%) as Type Ⅱ, and 3 (12.5%) as Type Ⅲ. Fourteen cases of Type Ⅰ underwent thoracic endovascular aortic repair combined with SMA stent implantation. Additionally, 3 Type Ⅰ and 1 Type Ⅱ patients underwent only SMA reconstruction (with one case of chronic TAAD treated with iliac artery-SMA bypass surgery). Moreover, 3 Type Ⅱ and 3 Type Ⅲ patients underwent descending aorta combined with SMA stent implantation. There were 5 patients (20.8%) who underwent small bowel resection, either in the same sitting or in a staged procedure. During hospitalization, 4 patients died, resulting in a mortality rate of 16.7%. Among these cases, two patients succumbed to severe intestinal ischemia resulting in multiple organ dysfunction syndrome. The follow-up duration was (46±9) months (range: 13 to 72 months). During the follow-up, 2 patients died, unrelated to intestinal ischemia. The 5-year freedom from reintervention survival rate was 86.1%, and the 5-year cumulative survival rate was 82.6%. Conclusions: Patients with aortic dissection and refractory SMA ischemia have a high perioperative mortality. However, implementing appropriate surgical strategies according to different clinical scenarios can reduce mortality and alleviate intestinal ischemia.
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Affiliation(s)
- L W Zou
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - Y F Liu
- Division of Vascular and Interventional Radiology, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510510, China
| | - H Liu
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - B Chen
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - J H Jiang
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - Y Shi
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - D Q Guo
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - X Xu
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - Z H Dong
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
| | - W G Fu
- Departments of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai 200030, China
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Niemczak CE, Zhan Y, Ren J, Song F, Lu H, Chen G, Fellows AM, Gui J, Soli SD, Buckey JC, Shi Y. A Central Auditory Test reveals differences between drug treatment regimens in adults living with HIV. Int J Audiol 2024; 63:207-212. [PMID: 36662150 PMCID: PMC10356905 DOI: 10.1080/14992027.2023.2168217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 01/08/2023] [Accepted: 01/09/2023] [Indexed: 01/21/2023]
Abstract
OBJECTIVE This exploratory study examined whether central auditory tests show differences between people living with HIV (PLWH) treated with two predominant antiretroviral drug therapy (ART) regimens. DESIGN Cross-sectional. STUDY SAMPLE 253 PLWH (mean age 39.8 years) from the Shanghai Public Health Clinical Centre, China. METHODS The Hearing in Noise Test speech reception threshold (SRT) assessed central auditory function and the Montreal Cognitive Assessment (MoCA) assessed cognition. The relationship between ART regimen and SRT was evaluated with multivariable linear regression incorporating age, HIV duration, and peripheral hearing ability. Multivariable logistic regression was used to ascertain if SRT and ART regimen predicted MoCA impairment. RESULTS The two predominant ART regimens differed by one drug (zidovudine or tenofovir). Participants taking the zidovudine-containing regimen had poorer SRT performance (p=.012) independent of age and hearing thresholds. MoCA scores did not differ between drug regimens, but a negative relationship was found between SRT and MoCA impairment (p=.048). CONCLUSIONS ART regimens differed in their association with central auditory test performance likely reflecting neurocognitive changes in PLWH taking the zidovudine-containing regimen. Central auditory test performance also marginally predicted cognitive impairment, supporting further assessment of central auditory tests to detect neurocognitive deficits in PLWH.
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Affiliation(s)
- Christopher E Niemczak
- Department of Medicine, Dartmouth Health, Lebanon, NH, USA
- Space Medicine Innovations Laboratory, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Yi Zhan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Junkun Ren
- Space Medicine Innovations Laboratory, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Fengxiang Song
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Hongzhou Lu
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Guochao Chen
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Abigail M Fellows
- Space Medicine Innovations Laboratory, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Jiang Gui
- Space Medicine Innovations Laboratory, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Sigfrid D Soli
- School of Audiology and Speech Sciences, University of British Columbia, Vancouver, Canada
| | - Jay C Buckey
- Department of Medicine, Dartmouth Health, Lebanon, NH, USA
- Space Medicine Innovations Laboratory, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Yuxin Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Cui H, Zhang L, Shi Y. Biomaterials-mediated ligation of immune cell surface receptors for immunoengineering. Immunooncol Technol 2024; 21:100695. [PMID: 38405432 PMCID: PMC10891334 DOI: 10.1016/j.iotech.2023.100695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
A wide variety of cell surface receptors found on immune cells are essential to the body's immunological defense mechanisms. Cell surface receptors enable immune cells to sense extracellular stimuli and identify pathogens, transmitting activating or inhibitory signals that regulate the immune cell state and coordinate immunological responses. These receptors can dynamically aggregate or disperse due to the fluidity of the cell membrane, particularly during interactions between cells or between cells and pathogens. At the contact surface, cell surface receptors form microclusters, facilitating the recruitment and amplification of downstream signals. The strength of the immune signal is influenced by both the quantity and the specific types of participating receptors. Generally, receptor cross-linking, meaning multivalent ligation of receptors on one cell, leads to greater interface connectivity and more robust signaling. However, intercellular interactions are often spatially restricted by other cellular structures. Therefore, it is essential to comprehend these receptors' features for developing effective immunoengineering approaches. Biomaterials can stimulate and simulate interactions between immune cells and their targets. Biomaterials can activate immune cells to act against pathogenic organisms or cancer cells, thereby offering a valuable immunoengineering toolset for vaccination and immunotherapy. In this review, we systematically summarize biomaterial-based immunoengineering strategies that consider the biology of diverse immune cell surface receptors and the structural attributes of pathogens. By combining this knowledge, we aim to advance the development of rational and effective approaches for immune modulation and therapeutic interventions.
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Affiliation(s)
- H. Cui
- Department of Polymer Therapeutics, Institute for Experimental Molecular Imaging, Uniklinik RWTH Aachen and Helmholtz Institute for Biomedical Engineering, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - L. Zhang
- Department of Mechanical and Production Engineering, Aarhus University, Aarhus N, Denmark
| | - Y. Shi
- Department of Polymer Therapeutics, Institute for Experimental Molecular Imaging, Uniklinik RWTH Aachen and Helmholtz Institute for Biomedical Engineering, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
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Fan Z, Xiao Y, Shi Y, Hao C, Chen Y, Zhang G, Zhuang T, Cao X. Thiophenpiperazine amide derivatives as new dual MOR and σ 1R ligands for the treatment of pain. Biochem Biophys Res Commun 2024; 697:149547. [PMID: 38245926 DOI: 10.1016/j.bbrc.2024.149547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 12/19/2023] [Accepted: 01/17/2024] [Indexed: 01/23/2024]
Abstract
A new series of thiophenpiperazine amide derivatives as potent dual ligands for the μ-opioid (MOR) and sigma-1 (σ1R) receptors are reported. Compound 23 exhibited good affinity to σ1R (Ki = 44.7 ± 7.05 nM) and high selectivity to σ2R. Furthermore, Compound 23 exerted MOR agonism and σ1R antagonism and potent analgesic activity in animal moldes (the abdominal constriction test (ED50 = 3.83 mg/kg) and carrageenan-induced inflammatory hyperalgesia model (ED50 = 5.23 mg/kg)). We obtained new dual ligands that might serve as starting points for preparing targeted tools. Furthermore, 23 may be a useful chemical probe for understanding more fully analgesic effects associated with MOR agonism and σ1R antagonism.
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Affiliation(s)
- Zhiyuan Fan
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Yang Xiao
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yuxin Shi
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Chao Hao
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yin Chen
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Guisen Zhang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China; Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Tao Zhuang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China.
| | - Xudong Cao
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, Jiangsu, China.
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Luo M, Wang D, Shi Y, Yi Q, Wang Z, Zhou B, Yang G, Chen J, Liang C, Wang H, Zeng X, Yang Y, Tan R, Xie Y, Chen J, Tang S, Huang J, Mei Z, Xiao Z. Risk factors of postoperative delirium following spine surgery: A meta-analysis of 50 cohort studies with 1.1 million participants. Heliyon 2024; 10:e24967. [PMID: 38322910 PMCID: PMC10844026 DOI: 10.1016/j.heliyon.2024.e24967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 12/11/2023] [Accepted: 01/17/2024] [Indexed: 02/08/2024] Open
Abstract
Objectives Postoperative delirium (POD) is considered to be a common complication of spine surgery. Although many studies have reported the risk factors associated with POD, the results remain unclear. Therefore, we performed a meta-analysis to identify risk factors for POD among patients following spinal surgery. Methods We systematically searched the PubMed, Embase and the Cochrane Library for relevant articles published from 2006 to February 1, 2023 that reported risk factors associated with the incidence of POD among patients undergoing spinal surgery. The Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed, and random effects models were used to estimate pooled odds ratio (OR) estimates with 95 % confidence intervals (CIs) for each factor. The evidence from observational studies was classified according to Egger's P value, total sample size, and heterogeneity between studies. Results Of 11,329 citations screened, 50 cohort studies involving 1,182,719 participants met the inclusion criteria. High-quality evidence indicated that POD was associated with hypertension, diabetes mellitus, cardiovascular disease, pulmonary disease, older age (>65 years), patients experiencing substance use disorder (take drug ≥1 month), cerebrovascular disease, kidney disease, neurological disorder, parkinsonism, cervical surgery, surgical site infection, postoperative fever, postoperative urinary tract infection, and admission to the intensive care unit (ICU). Moderate-quality evidence indicated that POD was associated with depression, American Society of Anesthesiologists (ASA) fitness grade (>II), blood transfusion, abnormal potassium, electrolyte disorder, length of stay, inability to ambulate and intravenous fluid volume. Conclusions Conspicuous risk factors for POD were mainly patient- and surgery-related. These findings help clinicians identify high-risk patients with POD following spinal surgery and recognize the importance of early intervention.
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Affiliation(s)
- Mingjiang Luo
- The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Di Wang
- The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Yuxin Shi
- Department of Pediatric Dentistry, First Affiliated Hospital (Affiliated Stomatological Hospital) of Xinjiang Medical University, Urumqi 830054, China
| | - Qilong Yi
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Zhongze Wang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Beijun Zhou
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Gaigai Yang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Juemiao Chen
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Can Liang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Haoyun Wang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Xin Zeng
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Yuxin Yang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Ridong Tan
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Yudie Xie
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Jiang Chen
- The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Siliang Tang
- The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Jinshan Huang
- The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Zubing Mei
- The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
- Department of Anorectal Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Anorectal Disease Institute of Shuguang Hospital, Shanghai, China
| | - Zhihong Xiao
- The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
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Qi HM, Zhang L, Du M, Yang Y, Guo XT, Li P, Shi Y, Lu XH. [A case of fungal keratitis caused by Petriella setifera infection]. Zhonghua Yan Ke Za Zhi 2024; 60:176-179. [PMID: 38296323 DOI: 10.3760/cma.j.cn112142-20231024-00168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
The patient, a 66-year-old male, suffered from redness, blurred vision, photophobia, and tearing in the right eye after being injured by a wooden board. Anti-inflammatory treatment showed poor effectiveness. A 4 mm × 4 mm infiltrate with white deposits on the surface was observed in the central cornea of the right eye. Microscopic examination of corneal scrapings, fungal culture, and in vivo confocal microscopy all indicated fungal infection. The isolated strain was identified as Scedosporium apiospermum through microscopic morphology and confirmed as Petriella setifera by gene sequencing. The patient received corneal debridement combined with routine anti-inflammatory and antifungal treatment in the outpatient clinic. During the follow-up period, the condition continued to improve. Slit lamp examination at the revisit 40 days after the initial diagnosis revealed thinning of the corneal stroma, basic healing of the epithelium, and an increase in uncorrected visual acuity from 0.3 to 0.6.
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Affiliation(s)
- H M Qi
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - L Zhang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - M Du
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - Y Yang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - X T Guo
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - P Li
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - Y Shi
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - X H Lu
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
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Jiang AL, Ruan Y, Guo YF, Sun SY, Dong YJ, Wang JQ, Shi Y, Wu F. [Association between dietary pattern and frailty among people aged 50 years and over in Shanghai]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:257-264. [PMID: 38413066 DOI: 10.3760/cma.j.cn112338-20230616-00381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Objective: To investigate dietary patterns of individuals aged ≥50 in Shanghai and analyze their association with frailty. Methods: Using data from the third wave of the Study on Global Ageing and Adult Health in Shanghai conducted between 2018 and 2019. We collected the frequency and average intake of food by the food frequency questionnaire. Factor analysis was used to extract dietary patterns, and a frailty index was constructed using the ratio of the cumulative total score of health deficits to 35 health-related variables considered. We used an ordinal multinomial logistic regression model to analyze the association between dietary patterns and frailty. Results: A total of 3 274 participants aged (67.9±9.2) years were included in the study, including 1 971 (60.2%) men and 1 303 (39.8%) women. We extracted four dietary patterns: high-protein-nuts pattern, potato-bean-vegetable-fruit pattern, poultry-meat pattern, and high-oil-salt pattern. After adjusting for confounding factors, the logistic regression analysis showed that compared with the high-oil-salt pattern, the high-protein-nuts pattern was negatively associated with the risk of higher frailty (OR=0.743, 95%CI: 0.580-0.951). We did not find an association between dietary patterns and frailty between the different gender groups. In the age group 50-64, the high-protein-nuts and potato-bean-vegetable-fruit patterns were negatively correlated with a higher degree of frailty than the high-oil-salt pattern. In the low-level physical activity group, the high-protein-nuts pattern was negatively correlated with a higher degree of frailty than the high-oil-salt pattern (OR=0.509, 95%CI: 0.361-0.720). However, we found no significant effect of the high-protein nuts pattern, potato-bean-vegetable-fruit pattern, and poultry-meat pattern on the risk of higher frailty compared to the high-oil-salt pattern in the moderate to high level of physical activity group. Conclusions: Compared to the high-oil-salt pattern, dietary patterns with a higher intake of high-protein nuts, potatoes, legumes, and fruits and vegetables might be associated with a lower risk of higher frailty in residents aged 50-64 years of age than with a high oil and salt pattern. At the same time, it may have a more significant protective effect in people with lower physical activity levels. It is suggested that a diet rich in high-protein foods, nuts, potatoes, beans, vegetables, and fruits may help reduce and delay the risk of frailty.
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Affiliation(s)
- A L Jiang
- Division of Chronic Non-communicable Disease and Injury Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y Ruan
- Division of Chronic Non-communicable Disease and Injury Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y F Guo
- Division of Chronic Non-communicable Disease and Injury Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - S Y Sun
- Division of Chronic Non-communicable Disease and Injury Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y J Dong
- Division of Chronic Non-communicable Disease and Injury Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Q Wang
- Division of Chronic Non-communicable Disease and Injury Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y Shi
- Division of Chronic Non-communicable Disease and Injury Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - F Wu
- Shanghai Medical College, Fudan University, Shanghai 200032, China
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Yuan T, Song X, Shi Y, Wei S, Han Y, Yang L, Zhang Y, Li X, Li Y, Shen L, Fan L. Perspectives on development of optoelectronic materials in artificial intelligence age. Chem Asian J 2024:e202301088. [PMID: 38317532 DOI: 10.1002/asia.202301088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/28/2024] [Accepted: 02/05/2024] [Indexed: 02/07/2024]
Abstract
Optoelectronic devices, such as light-emitting diodes, have been demonstrated as one of the most demanded forthcoming display and lighting technologies because of their low cost, low power consumption, high brightness, and high contrast. The improvement of device performance relies on advances in precisely designing novelty functional materials, including light-emitting materials, hosts, hole/electron transport materials, and yet which is a time-consuming, laborious and resource-intensive task. Recently, machine learning (ML) has shown great prospects to accelerate material discovery and property enhancement. This review will summarize the workflow of ML in optoelectronic materials discovery, including data collection, feature engineering, model selection, model evaluation and model application. We highlight multiple recent applications of machine-learned potentials in various optoelectronic functional materials, ranging from semiconductor quantum dots (QDs) or perovskite QDs, organic molecules to carbon-based nanomaterials. We furthermore discuss the current challenges to fully realize the potential of ML-assisted materials design for optoelectronics applications. It is anticipated that this review will provide critical insights to inspire new exciting discoveries on ML-guided of high-performance optoelectronic devices with a combined effort from different disciplines.
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Affiliation(s)
- Ting Yuan
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Xianzhi Song
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Yuxin Shi
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Shuyan Wei
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Yuyi Han
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Linjuan Yang
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Yang Zhang
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Xiaohong Li
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Yunchao Li
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Lin Shen
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
| | - Louzhen Fan
- College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, Beijing Normal University, Beijing, 100875, China
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Zhang H, Wu D, Wang Y, Shi Y, Shao Y, Zeng F, Spencer CB, Ortoga L, Wu D, Miao C. Ferritin-mediated neutrophil extracellular traps formation and cytokine storm via macrophage scavenger receptor in sepsis-associated lung injury. Cell Commun Signal 2024; 22:97. [PMID: 38308264 PMCID: PMC10837893 DOI: 10.1186/s12964-023-01440-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 12/12/2023] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Sepsis is a severe systemic inflammatory disorder manifested by a dysregulated immune response to infection and multi-organ failure. Numerous studies have shown that elevated ferritin levels exist as an essential feature during sepsis and are able to suggest patients' prognoses. At the same time, the specific mechanism of ferritin-induced inflammatory injury remains unclear. METHODS Hyper-ferritin state during inflammation was performed by injecting ferritin into a mouse model and demonstrated that injection of ferritin could induce a systemic inflammatory response and increase neutrophil extracellular trap (NET) formation.Padi4-/-, Elane-/- and Cybb-/- mice were used for the NETs formation experiment. Western blot, immunofluorescence, ELISA, and flow cytometry examined the changes in NETs, inflammation, and related signaling pathways. RESULTS Ferritin induces NET formation in a peptidylarginine deiminase 4 (PAD4), neutrophil elastase (NE), and reactive oxygen species (ROS)-dependent manner, thereby exacerbating the inflammatory response. Mechanistically, ferritin induces the expression of neutrophil macrophage scavenger receptor (MSR), which promotes the formation of NETs. Clinically, high levels of ferritin in patients with severe sepsis correlate with NETs-mediated cytokines storm and are proportional to the severity of sepsis-induced lung injury. CONCLUSIONS In conclusion, we demonstrated that hyper-ferritin can induce systemic inflammation and increase NET formation in an MSR-dependent manner. This process relies on PAD4, NE, and ROS, further aggravating acute lung injury. In the clinic, high serum ferritin levels are associated with elevated NETs and worse lung injury, which suggests a poor prognosis for patients with sepsis. Our study indicated that targeting NETs or MSR could be a potential treatment to alleviate lung damage and systemic inflammation during sepsis. Video Abstract.
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Affiliation(s)
- Hao Zhang
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, 180# Feng-Lin Road, Shanghai, 200032, China.
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China.
- Department of Anesthesiology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Dan Wu
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, 180# Feng-Lin Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
- Department of Anesthesiology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yanghanzhao Wang
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, 180# Feng-Lin Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
- Department of Anesthesiology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuxin Shi
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, 180# Feng-Lin Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
- Department of Anesthesiology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuwen Shao
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, 180# Feng-Lin Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
- Department of Anesthesiology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fu Zeng
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, 180# Feng-Lin Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
- Department of Anesthesiology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Charles B Spencer
- Department of Cardiac surgery, The Ohio State University, Columbus, USA
| | - Lilibeth Ortoga
- Department of Biomedical Engineering, The Ohio State University, Columbus, USA
| | - Dehua Wu
- Department of Anesthesiology, Shanghai Songjiang District Central Hospital, Shanghai, China.
| | - Changhong Miao
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, 180# Feng-Lin Road, Shanghai, 200032, China.
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China.
- Department of Anesthesiology, Shanghai Medical College, Fudan University, Shanghai, China.
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Shi Y, Han Q. Does maternal anxiety and depression increase the risk of asthma in the offspring? A systematic review and meta-analysis. Eur Rev Med Pharmacol Sci 2024; 28:1066-1076. [PMID: 38375712 DOI: 10.26355/eurrev_202402_35343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
OBJECTIVE Adverse exposures during pregnancy have been linked with respiratory disorders in the offspring. Research also shows that maternal mental disorders can influence the risk of respiratory illnesses. We hereby systematically examined if specific mental disorders during pregnancy, namely, anxiety and depression, can increase the risk of asthma in the offspring. MATERIALS AND METHODS A literature search of PubMed, CENTRAL, Scopus, Embase, and Web of Science databases from inception to 15th October 2023 was undertaken for cohort studies assessing the association between maternal anxiety/depression and the risk of asthma in the offspring. Adjusted data was quantitatively synthesized in a random-effect meta-analysis model. RESULTS Nine studies with 1,027,469 mother-child pairs were included. Studies reported data on anxiety, depression, or both anxiety and depression. Maternal anxiety (OR: 1.61 95% CI: 1.29, 2.01 I2=0%), maternal depression (OR: 1.25 95% CI: 1.07, 1.45 I2=12%), and both combined (OR: 1.28 95% CI: 1.16, 1.41 I2=93%) were associated with significantly increase the risk of asthma in childhood. Overall, the pooled analysis showed that maternal anxiety or depression significantly increased the risk of asthma in childhood by 30% (OR: 1.30 95% CI: 1.20, 1.40 I2=75%). Results remained significant on multiple subgroup analyses. CONCLUSIONS Maternal anxiety and depression can increase the risk of asthma in childhood. The observational nature of studies, differences in adjusted founders, methodological variations, and predominance of European data are important limitations. Further prospective research taking into account present limitations is needed for improved evidence.
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Affiliation(s)
- Y Shi
- Department of Respiratory Medicine, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
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Sun ZH, Chen D, Chu KW, Shi Y, Hong B, Chen Y, Liu L. Comparison of clinical data between the proximal femoral bionic nail (PFBN) and hip replacement for the treatment of femoral intertrochanteric fracture. Eur Rev Med Pharmacol Sci 2024; 28:1375-1383. [PMID: 38436170 DOI: 10.26355/eurrev_202402_35458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
OBJECTIVE The aim of this study was to compare the difference between proximal femoral bionic nail (PFBN) and hip replacement (HR) for femoral intertrochanteric fracture. MATERIALS AND METHODS A retrospective analysis of the differences in operative time, length of stay, postoperative Harris score, and postoperative mortality between patients with femoral intertrochanteric fracture treated by PFBN and HR admitted to Jinzhai County People's Hospital from October 2020 to September 2022 was performed. RESULTS A total of 56 patients with femoral intertrochanteric fracture, 26 with PFBN and 30 with HR, were included in the study. There were no differences in the length of surgery, pre- and post-operative hemoglobin, or post-operative Harris score at 3 months between the two groups. Compared to the HR group, the PFBN group had a lower total cost, shorter hospital stays, and lower mortality but a longer ambulation time, with a difference of 3.36 weeks. CONCLUSIONS PFBN may be a promising new treatment for femoral intertrochanteric fracture.
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Affiliation(s)
- Z-H Sun
- Department of Orthopedics, Jinzhai County People's Hospital, Liuan, China.
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Shi Y, Luo S, Wang H, Yao Q, Shi Y, Cheng J. Three-dimensional bone remodelling of glenoid fossa in patients with skeletal Class III malocclusion after bimaxillary orthognathic surgery. Int J Oral Maxillofac Surg 2024; 53:133-140. [PMID: 37442687 DOI: 10.1016/j.ijom.2023.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 06/20/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023]
Abstract
This study aimed to characterize three-dimensional quantitative morphological changes of glenoid fossa in patients with skeletal Class III malocclusion treated with bimaxillary orthognathic surgery. Ninety-five eligible patients (50 male, 45 female; mean age 22.09 years) were enrolled retrospectively. Cone beam computed tomography obtained at 1 week preoperatively (T0), immediately after surgery (T1), and at ≥ 12 months postoperatively (T2) were registered based on cranial base using voxel-based registration in 3D Slicer. Glenoid fossa surface was divided spatially into four regions, and bone modelling in these regions was visualized with color maps. Our data revealed that the mean surface variations of glenoid fossa were small, with modest bone formation as a whole. No significant associations between anteroposterior or vertical mandibular displacement and overall glenoid fossa remodeling were found (P > 0.05). Moreover, bone deposition was frequently observed in the anterior-lateral region of glenoid fossa in patients with a larger mandibular movement during T0-T1 (P < 0.001). Paired bone formation in the anterior-lateral region of glenoid fossa and bone resorption in the anterior-lateral region of condylar head was frequently observed. Collectively, our results revealed that glenoid fossa underwent complex but modest bone remodeling after bimaxillary surgery in skeletal Class III patients.
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Affiliation(s)
- Y Shi
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, PR China; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing Medical University, Jiangsu, PR China
| | - S Luo
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, PR China; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing Medical University, Jiangsu, PR China; Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Jiangsu, PR China
| | - H Wang
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, PR China
| | - Q Yao
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, PR China
| | - Y Shi
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, PR China
| | - J Cheng
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, PR China; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing Medical University, Jiangsu, PR China.
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Liu S, Shi Y, Wang D, Zhang Q, Ma X, Yin Z, Zhou P, Wu L, Zhang M. Multiple synergies on cobalt-based spinel oxide nanowires for electrocatalytic oxygen evolution. J Colloid Interface Sci 2024; 655:685-692. [PMID: 37976741 DOI: 10.1016/j.jcis.2023.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/29/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023]
Abstract
Cobalt-based spinel oxides have excellent oxygen evolution reaction (OER) activities and are cheap to produce; however, they have limited commercial applications due to their poor electrical conductivities and weak stabilities. Herein, we soaked Co3-xNixO4 nanowires in NaBH4 solutions, which endowed Co3-xNixO4 with significant oxygen vacancy content and decorated BOx motifs outside the Co3-xNixO4 nanowires. X-ray photoelectron spectroscopy and in situ Raman data suggest that these evolutions improved the conductivity, hydrophilicity, and increased active sites of the spinel oxides, which synergistically boosted their overall OER performances. This improved performance made the optimized BOx-covered Co2.1Ni0.9O4 nanowires generate a current density of 10 mA cm-2 when used for the OER at an overpotential of only 307 mV, maintaining excellent stability at 50 mA cm-2 for 24 h. This study provides a facile method for designing cobalt-based spinel oxide OER catalysts.
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Affiliation(s)
- Sirui Liu
- Jiangsu R&D Center of the Ecological Textile Engineering & Technology, Yancheng Polytechnic College, Yancheng 224005, PR China; Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, School of Physics and Electronic Engineering, Harbin Normal University, Harbin 150025, PR China
| | - Yuxin Shi
- Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, School of Physics and Electronic Engineering, Harbin Normal University, Harbin 150025, PR China
| | - Di Wang
- Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, School of Physics and Electronic Engineering, Harbin Normal University, Harbin 150025, PR China
| | - Qiulan Zhang
- Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, School of Physics and Electronic Engineering, Harbin Normal University, Harbin 150025, PR China
| | - Xinzhi Ma
- Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, School of Physics and Electronic Engineering, Harbin Normal University, Harbin 150025, PR China; Department of Mechanical Engineering, Hong Kong Polytechnic University, Hong Kong 999077, PR China.
| | - Zhuoxun Yin
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, PR China
| | - Pengfei Zhou
- Jiangsu R&D Center of the Ecological Textile Engineering & Technology, Yancheng Polytechnic College, Yancheng 224005, PR China.
| | - Lili Wu
- Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, School of Physics and Electronic Engineering, Harbin Normal University, Harbin 150025, PR China
| | - Mingyi Zhang
- Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, School of Physics and Electronic Engineering, Harbin Normal University, Harbin 150025, PR China.
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Luo M, Shi F, Wang H, Chen Z, Dai H, Shi Y, Chen J, Tang S, Huang J, Xiao Z. The impact of perioperative opioid use on postoperative outcomes following spinal surgery: a meta-analysis of 60 cohort studies with 13 million participants. Spine J 2024; 24:278-296. [PMID: 37844626 DOI: 10.1016/j.spinee.2023.09.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 09/01/2023] [Accepted: 09/30/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND CONTEXT An important factor for the prognosis of spinal surgery is the perioperative use of opioids. However, the relationship is not clear. PURPOSE The purpose of this study was to evaluate the effect of perioperative opioid use on the prognosis of patients following spinal surgery. STUDY DESIGN/SETTING Systematic review and meta-analysis. OUTCOME MEASURES A meta-analysis was conducted using the random-effects method to calculate pooled odds ratios (ORs) with 95% confidence intervals (CIs). METHODS The PubMed, Embase, and Cochrane Library databases were systematically searched to find relevant articles that were published until September 2, 2022. The primary outcome was prolonged postoperative opioid use, and secondary outcomes included the length of stay (LOS), reoperation, the time to return to work (RTW), postoperative complications, gastrointestinal complications, new permanent disability, central nervous system events and infection. In addition, subgroup analysis of the primary outcome was conducted to explore the main sources of heterogeneity, and sensitivity analysis of all outcomes was performed to evaluate the stability of the results. RESULTS A total of 60 cohort studies involving 13,219,228 individuals met the inclusion criteria. Meta-analysis showed that perioperative opioid use was specifically related to prolonged postoperative opioid use (OR 6.91, 95% CI 6.09 to 7.84, p<.01). Furthermore, the results also showed that perioperative opioid use was significantly associated with prolonged LOS (OR 1.74, 95% CI 1.39 to 2.18, p<.01), postoperative complications (OR 1.72, 95% CI 1.26 to 2.36, p<.01), reoperation (OR 2.38, 95% CI 1.85 to 3.07, p<.01), the time to RTW (OR 0.45, 95% CI 0.39 to 0.52, p<.01), gastrointestinal complications (OR 1.39, 95% CI 1.30 to 1.48, p<.01), central nervous system events (OR 1.99, 95% CI 1.21 to 3.27, p=.07) and infection (OR 1.22, 95% CI 1.09 to 1.36, p=.01). These results were corroborated by the trim-and-fill procedure and leave-one-out sensitivity analyses. CONCLUSIONS Based on the current evidence, patients with perioperative opioid use, in comparison to controls, appear to have prolonged postoperative opioid use, which may increase the risk of poor outcomes including prolonged LOS, complications, reoperation, RTW and so on. However, these results must be carefully interpreted as the number of studies included was small and the studies were statistically heterogeneous. These findings may help clinicians to realize the harmfulness of perioperative use of opioids, reduce the use of prescription opioids, necessarily withdraw before operation or significantly wean to the lowest tolerable preoperative amount, and provide some inspiration for standardizing the use of opioids in the future.
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Affiliation(s)
- Mingjiang Luo
- Department of spinal Surgery, Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Fuwen Shi
- Department of spinal Surgery, Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China; Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Hongxu Wang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Zuoxuan Chen
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Huijie Dai
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Yuxin Shi
- Department of Pediatric Dentistry, First Affiliated Hospital (Affiliated Stomatological Hospital) of Xinjiang Medical University, Urumqi 830054, China
| | - Jiang Chen
- Department of spinal Surgery, Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Siliang Tang
- Department of spinal Surgery, Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Jingshan Huang
- Department of spinal Surgery, Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China
| | - Zhihong Xiao
- Department of spinal Surgery, Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, China.
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Shi C, Huang X, Wang D, Chu C, Shi Y, Yan B, Shan F, Zhang J, Zhang Z, Peng C, Tang BZ. Lipophilic AIEgens as the "Trojan Horse" with Discrepant Efficacy in Tracking and Treatment of Mycobacterial Infection. Adv Healthc Mater 2024; 13:e2301746. [PMID: 37747232 DOI: 10.1002/adhm.202301746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/07/2023] [Indexed: 09/26/2023]
Abstract
The highly contagious tuberculosis is a leading infectious killer, which urgently requires effective diagnosis and treatment methods. To address these issues, three lipophilic aggregation-induced emission (AIE) photosensitizers (TTMN, TTTMN, and MeOTTMN) are selected to evaluate their labeling and antimicrobial properties in vitro and in vivo. These three lipophilic AIEgens preserve low cytotoxicity and achieve real-time and non-invasive visualization of the process of mycobacteria infection in vitro and in vivo. More importantly, these AIEgens can be triggered by white light to produce reactive oxygen species (ROS), which is a highly efficient antibacterial reagent. Among these AIEgens, the TTMN photosensitizer has an outstanding antibacterial efficacy over the clinical first-line drug rifampicin at the same therapeutic concentration. Interestingly, this study also finds that TTMN can increase the expression of pro-inflammatory cytokines in the early stage of infection after light irradiation, indicating an additional pro-inflammatory role of TTMN. This work provides some feasibility basis for developing AIEgens-based agents for effectively destroying mycobacterium.
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Affiliation(s)
- Chunzi Shi
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
| | - Xueni Huang
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
| | - Dong Wang
- Center for AIE Research, Shenzhen Key Laboratory of Polymer Science and Technology, Guangdong Research Center for Interfacial Engineering of Functional Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Chengshengze Chu
- School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, 518172, China
| | - Yuxin Shi
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
| | - Bo Yan
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
| | - Fei Shan
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
| | - Jiulong Zhang
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
| | - Zhiyong Zhang
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
| | - Chen Peng
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, 266500, China
| | - Ben Zhong Tang
- School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, 518172, China
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Zhan Y, Cai DC, Liu Y, Song F, Shan F, Song P, Chen G, Zhang Y, Wang H, Shi Y. Altered metabolism in right basal ganglia associated with asymptomatic neurocognitive impairment in HIV-infected individuals. Heliyon 2024; 10:e23342. [PMID: 38169709 PMCID: PMC10758793 DOI: 10.1016/j.heliyon.2023.e23342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 06/02/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
Background Only few studies have focused on the metabolite differences between asymptomatic neurocognitive impairment (ANI) and cognitively normal people living with HIV (PLWH). The current study aims to examine whether brain metabolisms in basal ganglia (BG) by magnetic resonance spectroscopy (MRS) were potential to discriminate ANI from cognitively normal PLWH. Methods According to neuropsychological (NP) test, 80 PLWH (37.4 ± 10.2 years) were divided into ANI group (HIV-ANI, n = 31) and NP normal group (HIV-normal, n = 49). Brain metabolisms by MRS from right BG were compared between groups, including N-acetylaspartate and N-acetyl aspartylglutamate (tNAA), creatine and phosphocreatine (tCr), and choline-containing compounds (tCho). A total value of three metabolites were introduced. All brain metabolisms were evaluated as its percentage of total. Furthermore, correlations between MRS and NP and clinical measures were evaluated. A logistic regression model was applied, and the AUC values for the model and the continuous factors were compared using receiver operating curve (ROC) analysis. Results Compared to HIV-normal group, tNAA/total was lower and tCr/total was higher in the HIV-ANI group (P < 0.05). Both tNAA/total and tCr/total values were correlated with NP score (P < 0.05), especially in verbal fluency, speed of information processing, learning, and recall (P < 0.05). The logistic model included BG-tCr/total, current CD4 and infection years of PLWH. The AUC value for the BG-tCr/total was 0.696 and was not significantly lower than that for logistic model (P < 0.01). Conclusion The altered brain metabolites in the right BG were found in the ANI group compared to PLWH with normal cognition, and further associated with NP deficits. The current findings indicated that brain metabolites assessed by MRS has the potential to discriminate ANI from cognitively normal PLWH.
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Affiliation(s)
- Yi Zhan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Dan-Chao Cai
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Ying Liu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Fengxiang Song
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Fei Shan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Pengrui Song
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Guochao Chen
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yijun Zhang
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Yuxin Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Shi Y, Lu Y, Zhang RD, Zhang YY, Lin W, Yu JJ, Wu Y, Fan J, Qi PJ, Huang PL, Cai LX, Huang Q, Zhang P, Sun YM, Liu Y, Zheng HY. [Clinical characteristics and prognosis of 28 cases of infant acute lymphoblastic leukemia]. Zhonghua Er Ke Za Zhi 2024; 62:49-54. [PMID: 38154977 DOI: 10.3760/cma.j.cn112140-20230720-00020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
Objective: To analyze the clinical characteristics and prognosis of patients with infant acute lymphoblastic leukemia (IALL). Methods: A retrospective cohort study.Clinical data, treatment and prognosis of 28 cases of IALL who have been treated at Beijing Children's Hospital, Capital Medical University and Baoding Children's Hospital from October 2013 to May 2023 were analyzed retrospectively. Based on the results of fluorescence in situ hybridization (FISH), all patients were divided into KMT2A gene rearrangement (KMT2A-R) positive group and KMT2A-R negative group. The prognosis of two groups were compared. Kaplan-Meier method and Log-Rank test were used to analyze the survival of the patients. Results: Among 28 cases of IALL, there were 10 males and 18 females, with the onset age of 10.9 (9.4,11.8) months. In terms of immune classification, 25 cases were B-ALL (89%), while the remaining 3 cases were T-ALL (11%). Most infant B-ALL showed pro-B lymphocyte phenotype (16/25,64%). A total of 22 cases (79%) obtained chromosome karyotype results, of which 7 were normal karyotypes, no complex karyotypes and 15 were abnormal karyotypes were found. Among abnormal karyotypes, there were 4 cases of t (9; 11), 2 cases of t (4; 11), 2 cases of t (11; 19), 1 case of t (1; 11) and 6 cases of other abnormal karyotypes. A total of 19 cases (68%) were positive for KMT2A-R detected by FISH. The KMT2A fusion gene was detected by real-time PCR in 16 cases (57%). A total of 24 patients completed standardized induction chemotherapy and were able to undergo efficacy evaluation, 23 cases (96%) achieved complete remission through induction chemotherapy, 4 cases (17%) died of relapse. The 5-year event free survival rate (EFS) was (46±13)%, and the 5-year overall survival rate (OS) was (73±10)%.The survival time was 31.3 (3.3, 62.5) months. There was no significant statistical difference in 5-year EFS ((46±14)% vs. (61±18)%) and 5-year OS ((64±13)% vs. (86±13)%) between the KMT2A-R positive group (15 cases) and the KMT2A-R negative group (9 cases) (χ2=1.88, 1.47, P=0.170, 0.224). Conclusions: Most IALL patients were accompanied by KMT2A-R. They had poor tolerance to traditional chemotherapy, the relapse rate during treatment was high and the prognosis was poor.
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Affiliation(s)
- Y Shi
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - Y Lu
- Hematology Oncology Center, Baoding Children's Hospital,Baoding Key Laboratory of Precision Medicine for Pediatric Hematology Oncology, Hematology Oncology Center of National Center for Children's Health in Baoding, Baoding 071027, China
| | - R D Zhang
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - Y Y Zhang
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - W Lin
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - J J Yu
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - Y Wu
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - J Fan
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - P J Qi
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - P L Huang
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - L X Cai
- Hematology Oncology Center, Baoding Children's Hospital,Baoding Key Laboratory of Precision Medicine for Pediatric Hematology Oncology, Hematology Oncology Center of National Center for Children's Health in Baoding, Baoding 071027, China
| | - Q Huang
- Hematology Oncology Center, Baoding Children's Hospital,Baoding Key Laboratory of Precision Medicine for Pediatric Hematology Oncology, Hematology Oncology Center of National Center for Children's Health in Baoding, Baoding 071027, China
| | - P Zhang
- Hematology Oncology Center, Baoding Children's Hospital,Baoding Key Laboratory of Precision Medicine for Pediatric Hematology Oncology, Hematology Oncology Center of National Center for Children's Health in Baoding, Baoding 071027, China
| | - Y M Sun
- Hematology Oncology Center, Baoding Children's Hospital,Baoding Key Laboratory of Precision Medicine for Pediatric Hematology Oncology, Hematology Oncology Center of National Center for Children's Health in Baoding, Baoding 071027, China
| | - Y Liu
- Hematology Oncology Center, Baoding Children's Hospital,Baoding Key Laboratory of Precision Medicine for Pediatric Hematology Oncology, Hematology Oncology Center of National Center for Children's Health in Baoding, Baoding 071027, China
| | - H Y Zheng
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Hematology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
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Yuan T, Teng Q, Li C, Li J, Su W, Song X, Shi Y, Xu H, Han Y, Wei S, Zhang Y, Li X, Li Y, Fan L, Yuan F. The emergence and prospects of carbon dots with solid-state photoluminescence for light-emitting diodes. Mater Horiz 2024; 11:102-112. [PMID: 37823244 DOI: 10.1039/d3mh01292a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
The significant features of carbon dots (CDs), such as bright and tunable photoluminescence, high thermal stability, and low toxicity, endow them with tremendous potential for application in next generation optoelectronics. Despite great progress achieved in the design of high-performance CDs so far, the practical applications in solid-state lighting and displays have been retarded by the aggregation-caused quenching (ACQ) effect ascribed to direct π-π interactions. This review provides a comprehensive overview of the recent progress made in solid-state CD emitters, including their synthesis, optical properties and applications in light-emitting diodes (LEDs). Their triplet-excited-state-involved properties, as well as their recent advances in phosphor-converted LEDs and electroluminescent LEDs, are mainly reviewed here. Finally, the prospects and challenges of solid-state CD-based LEDs are discussed with an eye on future development. We hope that this review will provide critical insights to inspire new exciting discoveries on solid-state CDs from both fundamental and practical standpoints so that the realization of their potential in optoelectronic areas can be facilitated.
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Affiliation(s)
- Ting Yuan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Qian Teng
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Chenhao Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Jinsui Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Wen Su
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Xianzhi Song
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Yuxin Shi
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Huimin Xu
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Yuyi Han
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Shuyan Wei
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Yang Zhang
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Xiaohong Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Yunchao Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Louzhen Fan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Fanglong Yuan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
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Xie Y, Wu X, Shi Y, Peng Y, Zhou H, Wu X, Ma J, Jin J, Pi Y, Pang H. Recent Progress in 2D Metal-Organic Framework-Related Materials. Small 2024; 20:e2305548. [PMID: 37643389 DOI: 10.1002/smll.202305548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/10/2023] [Indexed: 08/31/2023]
Abstract
2D metal-organic frameworks-based (2D MOF-related) materials benefit from variable topological structures, plentiful open active sites, and high specific surface areas, demonstrating promising applications in gas storage, adsorption and separation, energy conversion, and other domains. In recent years, researchers have innovatively designed multiple strategies to avoid the adverse effects of conventional methods on the synthesis of high-quality 2D MOFs. This review focuses on the latest advances in creative synthesis techniques for 2D MOF-related materials from both the top-down and bottom-up perspectives. Subsequently, the strategies are categorized and summarized for synthesizing 2D MOF-related composites and their derivatives. Finally, the current challenges are highlighted faced by 2D MOF-related materials and some targeted recommendations are put forward to inspire researchers to investigate more effective synthesis methods.
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Affiliation(s)
- Yun Xie
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Xinyue Wu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Yuxin Shi
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Yi Peng
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Huijie Zhou
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Xiaohui Wu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Jiao Ma
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Jiangchen Jin
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Yecan Pi
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
| | - Huan Pang
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China
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Shi Y, Yao JJ, Yao YH, Liu ZB, Gao F, Li XY, Feng SQ. [A case of recurrent acute promyelocytic leukemia with p.R394G resistance]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:1049-1050. [PMID: 38503533 PMCID: PMC10834878 DOI: 10.3760/cma.j.issn.0253-2727.2023.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Indexed: 03/21/2024]
Affiliation(s)
- Y Shi
- Department of Hematology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China Tangshan Vocation & Technical College, Tangshan 063000, China
| | - J J Yao
- Department of Hematology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China
| | - Y H Yao
- Department of Hematology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China
| | - Z B Liu
- Department of Hematology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China
| | - F Gao
- Department of Hematology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China
| | - X Y Li
- Department of Hematology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China
| | - S Q Feng
- Department of Hematology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China
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Panoyan MA, Shi Y, Abbatangelo CL, Adler N, Moo-Choy A, Parra EJ, Polimanti R, Hu P, Wendt FR. Exome-wide tandem repeats confer large effects on subcortical volumes in UK Biobank participants. medRxiv 2023:2023.12.11.23299818. [PMID: 38168307 PMCID: PMC10760277 DOI: 10.1101/2023.12.11.23299818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
The human subcortex is involved in memory and cognition. Structural and functional changes in subcortical regions is implicated in psychiatric conditions. We performed an association study of subcortical volumes using 15,941 tandem repeats (TRs) derived from whole exome sequencing (WES) data in 16,527 unrelated European ancestry participants. We identified 17 loci, most of which were associated with accumbens volume, and nine of which had fine-mapping probability supporting their causal effect on subcortical volume independent of surrounding variation. The most significant association involved NTN1 -[GCGG] N and increased accumbens volume (β=5.93, P=8.16x10 -9 ). Three exonic TRs had large effects on thalamus volume ( LAT2 -[CATC] N β=-949, P=3.84x10 -6 and SLC39A4 -[CAG] N β=-1599, P=2.42x10 -8 ) and pallidum volume ( MCM2 -[AGG] N β=-404.9, P=147x10 -7 ). These genetic effects were consistent measurements of per-repeat expansion/contraction effects on organism fitness. With 3-dimensional modeling, we reinforced these effects to show that the expanded and contracted LAT2 -[CATC] N repeat causes a frameshift mutation that prevents appropriate protein folding. These TRs also exhibited independent effects on several psychiatric symptoms, including LAT2 -[CATC] N and the tiredness/low energy symptom of depression (β=0.340, P=0.003). These findings link genetic variation to tractable biology in the brain and relevant psychiatric symptoms. We also chart one pathway for TR prioritization in future complex trait genetic studies.
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Shang H, Jia H, Zhang W, Li S, Wang Q, Yang Q, Zhang C, Shi Y, Wang Y, Li P, He Y, Xiao S, Wang D, Zhang D. Surface Hydrogen Bond-Induced Oxygen Vacancies of TiO 2 for Two-Electron Molecular Oxygen Activation and Efficient NO Oxidation. Environ Sci Technol 2023; 57:20400-20409. [PMID: 37987747 DOI: 10.1021/acs.est.3c06593] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Defect engineering can provide a feasible approach to achieving ambient molecular oxygen activation. However, conventional surface defects (e.g., oxygen vacancies, OVs), featured with the coordinatively unsaturated metal sites, often favor the reduction of O2 to •O2- rather than O22- via two-electron transfer, hindering the efficient pollutant removal with high electron utilization. Herein, we demonstrate that this bottleneck can be well discharged by modulating the electronic structure of OVs via phosphorization. As a proof of concept, TiO2 nanoparticles are adopted as a model material for NaH2PO2 (HP) modification, in which HP induces the formation of OVs via weakening the Ti-O bonds through the hydrogen bond interactions. Additionally, the formed Ti-O-P covalent bond refines the electronic structure of OVs, which enables rapid electron transfer for two-electron molecular oxygen activation. As exemplified by NO oxidation, HP-modified TiO2 with abundant OVs achieved complete NO removal with high selectivity for benign nitrate, superior to that of pristine TiO2. This study highlights a promising approach to regulate the O2 activation via an electronic structure modulation and provides fresh insights into the rational design of a photocatalyst for environmental remediation.
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Affiliation(s)
- Huan Shang
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R. China
| | - Hongbao Jia
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Wenbin Zhang
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Shuangjun Li
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R. China
| | - Qing Wang
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R. China
| | - Qingyu Yang
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R. China
| | - Chi Zhang
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, P. R. China
| | - Yuxin Shi
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, P. R. China
| | - Yongjie Wang
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, P. R. China
| | - Pengpeng Li
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Yucheng He
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Shuning Xiao
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Ding Wang
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Dieqing Zhang
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R. China
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Shi C, Shao Y, Shan F, Shen J, Huang X, Chen C, Lu Y, Zhan Y, Shi N, Wu J, Wang K, Gao Y, Shi Y, Song F. Development and validation of a deep learning model for multicategory pneumonia classification on chest computed tomography: a multicenter and multireader study. Quant Imaging Med Surg 2023; 13:8641-8656. [PMID: 38106268 PMCID: PMC10722067 DOI: 10.21037/qims-23-1097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/14/2023] [Indexed: 12/19/2023]
Abstract
Background Accurate diagnosis of pneumonia is vital for effective disease management and mortality reduction, but it can be easily confused with other conditions on chest computed tomography (CT) due to an overlap in imaging features. We aimed to develop and validate a deep learning (DL) model based on chest CT for accurate classification of viral pneumonia (VP), bacterial pneumonia (BP), fungal pneumonia (FP), pulmonary tuberculosis (PTB), and no pneumonia (NP) conditions. Methods In total, 1,776 cases from five hospitals in different regions were retrospectively collected from September 2019 to June 2023. All cases were enrolled according to inclusion and exclusion criteria, and ultimately 1,611 cases were used to develop the DL model with 5-fold cross-validation, with 165 cases being used as the external test set. Five radiologists blindly reviewed the images from the internal and external test sets first without and then with DL model assistance. Precision, recall, F1-score, weighted F1-average, and area under the curve (AUC) were used to evaluate the model performance. Results The F1-scores of the DL model on the internal and external test sets were, respectively, 0.947 [95% confidence interval (CI): 0.936-0.958] and 0.933 (95% CI: 0.916-0.950) for VP, 0.511 (95% CI: 0.487-0.536) and 0.591 (95% CI: 0.557-0.624) for BP, 0.842 (95% CI: 0.824-0.860) and 0.848 (95% CI: 0.824-0.873) for FP, 0.843 (95% CI: 0.826-0.861) and 0.795 (95% CI: 0.767-0.822) for PTB, and 0.975 (95% CI: 0.968-0.983) and 0.976 (95% CI: 0.965-0.986) for NP, with a weighted F1-average of 0.883 (95% CI: 0.867-0.898) and 0.846 (95% CI: 0.822-0.871), respectively. The model performed well and showed comparable performance in both the internal and external test sets. The F1-score of the DL model was higher than that of radiologists, and with DL model assistance, radiologists achieved a higher F1-score. On the external test set, the F1-score of the DL model (F1-score 0.848; 95% CI: 0.824-0.873) was higher than that of the radiologists (F1-score 0.541; 95% CI: 0.507-0.575) as was its precision for the other three pneumonia conditions (all P values <0.001). With DL model assistance, the F1-score for FP (F1-score 0.541; 95% CI: 0.507-0.575) was higher than that achieved without assistance (F1-score 0.778; 95% CI: 0.750-0.807) as was its precision for the other three pneumonia conditions (all P values <0.001). Conclusions The DL approach can effectively classify pneumonia and can help improve radiologists' performance, supporting the full integration of DL results into the routine workflow of clinicians.
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Affiliation(s)
- Chunzi Shi
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
- Qingdao Institute, School of Life Medicine, Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Qingdao, China
| | - Ying Shao
- R&D Department, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
| | - Fei Shan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jie Shen
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Xueni Huang
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
- Medical Imaging Department, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Chuan Chen
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yang Lu
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yi Zhan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Nannan Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jili Wu
- Department of Radiology, Fourth People’s Hospital of Taiyuan, Taiyuan, China
| | - Keying Wang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Yaozong Gao
- R&D Department, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
| | - Yuxin Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Fengxiang Song
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Shi Y, Gao L, Tian Y, Bai C, Chen J, Wang J, Li X, Zhang C, Sun Y, Su H, Liu Z. Penpulimab combined with anlotinib in patients with R/M HNSCC after failure of platinum-based chemotherapy: a single-arm, multicenter, phase Ⅱ study. ESMO Open 2023; 8:102194. [PMID: 38100934 PMCID: PMC10774955 DOI: 10.1016/j.esmoop.2023.102194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Treatment regimens for recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) after failure of platinum-based chemotherapy have been illustrated with limited efficacy. PATIENTS AND METHODS Here, we report a single-arm, multicenter, phase Ⅱ study of R/M HNSCC patients treated with a programmed cell death-1 antibody penpulimab (200 mg) and anlotinib (12 mg) after failing at least one line of platinum-based chemotherapy. RESULTS Of 38 patients in total, 13 (34.21%) patients achieved partial response and 16 (42.11%) patients achieved stable disease. After a median follow-up of 7.06 months (range: 4.14-15.70 months), the independent review committee-assessed objective response rate was 34.21%, the disease control rate was 76.32%. The median progression-free survival was 8.35 months (95% confidence interval 5.95-13.11 months). Twelve patients died and the median overall survival (OS) was not reached. The 12-month OS rate was 59.76%. Grade 3/4 treatment-related adverse events occurred in 47.37% of the patients. CONCLUSION Penpulimab combined with anlotinib demonstrated promising efficacy and manageable safety in R/M HNSCC patients after failure of platinum-based chemotherapy.
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Affiliation(s)
- Y Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing.
| | - L Gao
- Third Ward, Department of Radiotherapy, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, China
| | - Y Tian
- Department of Head and Neck Surgery, Gansu Provincial Cancer Hospital, Lanzhou
| | - C Bai
- Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
| | - J Chen
- Thoracic Medicine Department, Hunan Cancer Hospital, Changsha
| | - J Wang
- Department of Head and Neck Surgery, Gansu Provincial Cancer Hospital, Lanzhou
| | - X Li
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou
| | - C Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing
| | - Y Sun
- Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - H Su
- Department of Oncology, Tangdu Hospital, Air Force Medical University, Xi'an
| | - Z Liu
- Department of Head and Neck Oncology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
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40
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Abdulhamid MI, Aboona BE, Adam J, Adams JR, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Aitbaev A, Alekseev I, Anderson DM, Aparin A, Aslam S, Atchison J, Averichev GS, Bairathi V, Baker W, Cap JGB, Barish K, Bhagat P, Bhasin A, Bhatta S, Bordyuzhin IG, Brandenburg JD, Brandin AV, Cai XZ, Caines H, Sánchez MCDLB, Cebra D, Ceska J, Chakaberia I, Chan BK, Chang Z, Chatterjee A, Chen D, Chen J, Chen JH, Chen Z, Cheng J, Cheng Y, Choudhury S, Christie W, Chu X, Crawford HJ, Dale-Gau G, Das A, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Feng CJ, Feng Y, Finch E, Fisyak Y, Flor FA, Fu C, Gao T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Hamed A, Han Y, Harasty MD, Harris JW, Harrison-Smith H, He W, He XH, He Y, Hu C, Hu Q, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Huang Y, Humanic TJ, Isenhower D, Isshiki M, Jacobs WW, Jalotra A, Jena C, Ji Y, Jia J, Jin C, Ju X, Judd EG, Kabana S, Kabir ML, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Keane D, Kechechyan A, Kelsey M, Kimelman B, Kiselev A, Knospe AG, Ko HS, Kochenda L, Korobitsin AA, Kravtsov P, Kumar L, Kumar S, Elayavalli RK, Lacey R, Landgraf JM, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li W, Li X, Li Y, Li Y, Li Z, Liang X, Liang Y, Lin T, Liu C, Liu F, Liu G, Liu H, Liu H, Liu L, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Lomicky O, Longacre RS, Loyd EM, Lu T, Lukow NS, Luo XF, Luong VB, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Matis HS, Mazer JA, McNamara G, Mi K, Minaev NG, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mudrokh A, Nagy MI, Nain AS, Nam JD, Nasim M, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Okubo K, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Pani T, Parfenov P, Paul A, Perkins C, Pokhrel BR, Posik M, Protzman T, Pruthi NK, Putschke J, Qin Z, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Ritter HG, Robertson CW, Rogachevsky OV, Aguilar MAR, Roy D, Ruan L, Sahoo AK, Sahoo NR, Sako H, Salur S, Samigullin E, Sato S, Schmidke WB, Schmitz N, Seger J, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao T, Sharma M, Sharma N, Sharma R, Sharma SR, Sheikh AI, Shen D, Shen DY, Shen K, Shi SS, Shi Y, Shou QY, Si F, Singh J, Singha S, Sinha P, Skoby MJ, Söhngen Y, Song Y, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Su Y, Sun C, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Tamis A, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Tlusty D, Todoroki T, Tokarev MV, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tsai OD, Tsang CY, Tu Z, Tyler J, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vasiliev AN, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang J, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Westfall GD, Wieman H, Wilks G, Wissink SW, Wu J, Wu J, Wu X, Wu X, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Y, Xu Z, Xu Z, Yan G, Yan Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang W, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao F, Zhao J, Zhao M, Zhou C, Zhou J, Zhou S, Zhou Y, Zhu X, Zurek M, Zyzak M. Hyperon Polarization along the Beam Direction Relative to the Second and Third Harmonic Event Planes in Isobar Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2023; 131:202301. [PMID: 38039468 DOI: 10.1103/physrevlett.131.202301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 07/07/2023] [Accepted: 10/03/2023] [Indexed: 12/03/2023]
Abstract
The polarization of Λ and Λ[over ¯] hyperons along the beam direction has been measured relative to the second and third harmonic event planes in isobar Ru+Ru and Zr+Zr collisions at sqrt[s_{NN}]=200 GeV. This is the first experimental evidence of the hyperon polarization by the triangular flow originating from the initial density fluctuations. The amplitudes of the sine modulation for the second and third harmonic results are comparable in magnitude, increase from central to peripheral collisions, and show a mild p_{T} dependence. The azimuthal angle dependence of the polarization follows the vorticity pattern expected due to elliptic and triangular anisotropic flow, and qualitatively disagrees with most hydrodynamic model calculations based on thermal vorticity and shear induced contributions. The model results based on one of existing implementations of the shear contribution lead to a correct azimuthal angle dependence, but predict centrality and p_{T} dependence that still disagree with experimental measurements. Thus, our results provide stringent constraints on the thermal vorticity and shear-induced contributions to hyperon polarization. Comparison to previous measurements at RHIC and the LHC for the second-order harmonic results shows little dependence on the collision system size and collision energy.
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Affiliation(s)
| | - B E Aboona
- Texas A&M University, College Station, Texas 77843
| | - J Adam
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J R Adams
- The Ohio State University, Columbus, Ohio 43210
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Aggarwal
- Panjab University, Chandigarh 160014, India
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - A Aitbaev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
- National Research Nuclear University MEPhI, Moscow 115409
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980
| | - S Aslam
- Indian Institute Technology, Patna, Bihar 801106, India
| | - J Atchison
- Abilene Christian University, Abilene, Texas 79699
| | | | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - W Baker
- University of California, Riverside, California 92521
| | | | - K Barish
- University of California, Riverside, California 92521
| | - P Bhagat
- University of Jammu, Jammu 180001, India
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - S Bhatta
- State University of New York, Stony Brook, New York 11794
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409
| | - X Z Cai
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - J Ceska
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - I Chakaberia
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - Z Chang
- Indiana University, Bloomington, Indiana 47408
| | - A Chatterjee
- National Institute of Technology Durgapur, Durgapur-713209, India
| | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - Y Cheng
- University of California, Los Angeles, California 90095
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - G Dale-Gau
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Das
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Dhamija
- Panjab University, Chandigarh 160014, India
| | - L Di Carlo
- Wayne State University, Detroit, Michigan 48201
| | - P Dixit
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- University of Calabria & INFN-Cosenza, Rende 87036, Italy
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - F A Flor
- Yale University, New Haven, Connecticut 06520
| | - C Fu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - T Gao
- Shandong University, Qingdao, Shandong 266237
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - N Ghimire
- Temple University, Philadelphia, Pennsylvania 19122
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - X Gou
- Shandong University, Qingdao, Shandong 266237
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - A Hamed
- American University in Cairo, New Cairo 11835, Egypt
| | - Y Han
- Rice University, Houston, Texas 77251
| | - M D Harasty
- University of California, Davis, California 95616
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | | | - W He
- Fudan University, Shanghai, 200433
| | - X H He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y He
- Shandong University, Qingdao, Shandong 266237
| | - C Hu
- University of Chinese Academy of Sciences, Beijing 101408
| | - Q Hu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Hu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Huang
- National Cheng Kung University, Tainan 70101
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Central China Normal University, Wuhan, Hubei 430079
| | - T J Humanic
- The Ohio State University, Columbus, Ohio 43210
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - M Isshiki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jalotra
- University of Jammu, Jammu 180001, India
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - Y Ji
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - C Jin
- Rice University, Houston, Texas 77251
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - M L Kabir
- University of California, Riverside, California 92521
| | - D Kalinkin
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M Kelsey
- Wayne State University, Detroit, Michigan 48201
| | - B Kimelman
- University of California, Davis, California 95616
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A G Knospe
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H S Ko
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - S Kumar
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- University of Heidelberg, Heidelberg 69120, Germany
| | - N Lewis
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Li
- Shandong University, Qingdao, Shandong 266237
| | - W Li
- Rice University, Houston, Texas 77251
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Z Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Liang
- University of California, Riverside, California 92521
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - T Lin
- Shandong University, Qingdao, Shandong 266237
| | - C Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - G Liu
- South China Normal University, Guangzhou, Guangdong 510631
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - H Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - L Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- The Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - O Lomicky
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - E M Loyd
- University of California, Riverside, California 92521
| | - T Lu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - X F Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - V B Luong
- Joint Institute for Nuclear Research, Dubna 141 980
| | - L Ma
- Fudan University, Shanghai, 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Fudan University, Shanghai, 200433
| | - N Magdy
- State University of New York, Stony Brook, New York 11794
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - G McNamara
- Wayne State University, Detroit, Michigan 48201
| | - K Mi
- Central China Normal University, Wuhan, Hubei 430079
| | - N G Minaev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Yale University, New Haven, Connecticut 06520
| | - D A Morozov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Mudrokh
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M I Nagy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - A S Nain
- Panjab University, Chandigarh 160014, India
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - M Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - R Nishitani
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Sejong University, Seoul 05006, South Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409
| | - K Okubo
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pan
- Texas A&M University, College Station, Texas 77843
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A K Pandey
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - T Pani
- Rutgers University, Piscataway, New Jersey 08854
| | - P Parfenov
- National Research Nuclear University MEPhI, Moscow 115409
| | - A Paul
- University of California, Riverside, California 92521
| | - C Perkins
- University of California, Berkeley, California 94720
| | - B R Pokhrel
- Temple University, Philadelphia, Pennsylvania 19122
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - T Protzman
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - Z Qin
- Tsinghua University, Beijing 100084
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | - C Racz
- University of California, Riverside, California 92521
| | | | - N Raha
- Wayne State University, Detroit, Michigan 48201
| | - R L Ray
- University of Texas, Austin, Texas 78712
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | | | - D Roy
- Rutgers University, Piscataway, New Jersey 08854
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - A K Sahoo
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - E Samigullin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - T Shao
- Fudan University, Shanghai, 200433
| | - M Sharma
- University of Jammu, Jammu 180001, India
| | - N Sharma
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
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- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - S R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
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- Shandong University, Qingdao, Shandong 266237
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- Fudan University, Shanghai, 200433
| | - K Shen
- University of Science and Technology of China, Hefei, Anhui 230026
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- Central China Normal University, Wuhan, Hubei 430079
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237
| | - Q Y Shou
- Fudan University, Shanghai, 200433
| | - F Si
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - P Sinha
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - M J Skoby
- Ball State University, Muncie, Indiana 47306
- Purdue University, West Lafayette, Indiana 47907
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- University of Heidelberg, Heidelberg 69120, Germany
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- Yale University, New Haven, Connecticut 06520
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - D J Stewart
- Wayne State University, Detroit, Michigan 48201
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - Y Su
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Sun
- State University of New York, Stony Brook, New York 11794
| | - X Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - Z W Sweger
- University of California, Davis, California 95616
| | - A Tamis
- Yale University, New Haven, Connecticut 06520
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - T Todoroki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M V Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - O D Tsai
- Brookhaven National Laboratory, Upton, New York 11973
- University of California, Los Angeles, California 90095
| | - C Y Tsang
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Tyler
- Texas A&M University, College Station, Texas 77843
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
- Valparaiso University, Valparaiso, Indiana 46383
| | - I Upsal
- University of Science and Technology of China, Hefei, Anhui 230026
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - A N Vasiliev
- National Research Nuclear University MEPhI, Moscow 115409
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - V Verkest
- Wayne State University, Detroit, Michigan 48201
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - J Wang
- Shandong University, Qingdao, Shandong 266237
| | - X Wang
- Shandong University, Qingdao, Shandong 266237
| | - Y Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G Wilks
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - J Wu
- Central China Normal University, Wuhan, Hubei 430079
| | - J Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - X Wu
- University of California, Los Angeles, California 90095
| | - X Wu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wu
- University of California, Riverside, California 92521
| | - B Xi
- Fudan University, Shanghai, 200433
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Chinese Academy of Sciences, Beijing 101408
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - G Yan
- Shandong University, Qingdao, Shandong 266237
| | - Z Yan
- State University of New York, Stony Brook, New York 11794
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- South China Normal University, Guangzhou, Guangdong 510631
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yu
- Shandong University, Qingdao, Shandong 266237
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Zhang
- State University of New York, Stony Brook, New York 11794
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - J Zhang
- Shandong University, Qingdao, Shandong 266237
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Zhang
- South China Normal University, Guangzhou, Guangdong 510631
| | - X Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Shandong University, Qingdao, Shandong 266237
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - F Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Zhao
- Fudan University, Shanghai, 200433
| | - M Zhao
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Zhou
- Fudan University, Shanghai, 200433
| | - J Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Shi Y, Li L, Wang C, Huang J, Feng L, Chen X, Sik AG, Liu K, Jin M, Wang R. Developmental toxicity induced by chelerythrine in zebrafish embryos via activating oxidative stress and apoptosis pathways. Comp Biochem Physiol C Toxicol Pharmacol 2023; 273:109719. [PMID: 37586581 DOI: 10.1016/j.cbpc.2023.109719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 08/08/2023] [Accepted: 08/13/2023] [Indexed: 08/18/2023]
Abstract
Chelerythrine (CHE), a natural benzophenanthridine alkaloid, possesses various biological and pharmacological activities, such as antimicrobial, antitumor and anti-inflammatory effects. However, its adverse side effect has not been fully elucidated. Therefore, this study was designed to investigate the developmental toxicity of CHE in zebrafish. We found that CHE could lead to a notably increase of the mortality and malformation rate, while lead to reduction of the hatching rate and body length. CHE also could affect the normal developing processes of the heart, liver and phagocytes in zebrafish. Furthermore, the reactive oxygen species (ROS) and apoptosis levels were notably increased. In addition, the mRNA expressions of genes (bax, caspase-9, p53, SOD1, KEAP1, TNF-α, STAT3 and NF-κB) were significantly increased, while the bcl2 and nrf2 were notably inhibited by CHE. These results indicated that the elevation of ROS and apoptosis were involved in the developmental toxicity induced by CHE. In conclusion, CHE exhibits a developmental toxicity in zebrafish, which helps to understand the potential toxic effect of CHE.
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Affiliation(s)
- Yuxin Shi
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China
| | - Lei Li
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China
| | - Chuansen Wang
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China
| | - Jing Huang
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China
| | - Lixin Feng
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China
| | - Xiqiang Chen
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China
| | - Attila Gabor Sik
- Institute of Physiology, Medical School, University of Pecs, Pecs H-7624, Hungary; Szentagothai Research Centre, University of Pecs, Pecs H-7624, Hungary; Institute of Clinical Sciences, Medical School, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Kechun Liu
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China
| | - Meng Jin
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China.
| | - Rongchun Wang
- Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, 28789 East Jingshi Road, Ji'nan 250103, Shandong Province, People's Republic of China; Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Shandong Provincial Engineering Laboratory for Biological Testing Technology, 28789 Jingshidong Road, Licheng District, Jinan 250103, Shandong Province, PR China.
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Shi Y, Su W, Yuan F, Yuan T, Song X, Han Y, Wei S, Zhang Y, Li Y, Li X, Fan L. Carbon Dots for Electroluminescent Light-Emitting Diodes: Recent Progress and Future Prospects. Adv Mater 2023; 35:e2210699. [PMID: 36959751 DOI: 10.1002/adma.202210699] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Carbon dots (CDs), as emerging carbon nanomaterials, have been regarded as promising alternatives for electroluminescent light-emitting diodes (LEDs) owing to their distinct characteristics, such as low toxicity, tuneable photoluminescence, and good photostability. In the last few years, despite remarkable progress achieved in CD-based LEDs, their device performance is still inferior to that of well-developed organic, heavy-metal-based QDs, and perovskite LEDs. To better exploit LED applications and boost device performance, in this review, a comprehensive overview of currently explored CDs is presented, focusing on their key optical characteristics, which are closely related to the structural design of CDs from their carbon core to surface modifications, and to macroscopic structural engineering, including the embedding of CDs in the matrix or spatial arrangement of CDs. The design of CD-based LEDs for display and lighting applications based on the fluorescence, phosphorescence, and delayed fluorescence emission of CDs is also highlighted. Finally, it is concluded with a discussion regarding the key challenges and plausible prospects in this field. It is hoped that this review inspires more extensive research on CDs from a new perspective and promotes practical applications of CD-based LEDs in multiple directions of current and future research.
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Affiliation(s)
- Yuxin Shi
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Wen Su
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Fanglong Yuan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Ting Yuan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Xianzhi Song
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Yuyi Han
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Shuyan Wei
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Yang Zhang
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Yunchao Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Xiaohong Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Louzhen Fan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
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Zhang RY, Zhang XS, Lu C, Wang ZR, Shi Y, Wang YG, Zhang P, Chen Y. TLR4-MyD88-NF-κB signaling imbalances Th17 and Treg cells in thymoma with myasthenia gravis. Eur Rev Med Pharmacol Sci 2023; 27:10342-10364. [PMID: 37975358 DOI: 10.26355/eurrev_202311_34309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Thymus is an immune organ in which pathological changes may cause autoimmune diseases, including myasthenia gravis (MG). Recent studies have focused on Toll-like receptor 4 (TLR4) signaling as the cause of such changes. In our previous study, an imbalance of T helper 17 (Th17) cells and T regulatory (Treg) cells was found in MG thymoma. These results suggest the involvement of TLR4 in the pathogenesis of thymoma MG via an alteration of the Th17/Treg balance. Here, we aimed to assess whether the TLR4-MyD88-NF-κB pathway is upregulated in MG thymoma and its relationship with Th17/Treg cells. PATIENTS AND METHODS We collect thymoma samples from 54 patients with or without MG, detecting the expression level of TLR4, MyD88, and NF-κB in thymoma tissues. Next, we established an in vitro experiment of coculturing thymoma cells with CD4+ T cells and detected the differentiation of Th17 cells and Treg cells and their marker protein, retinoid-related orphan receptor gamma t (RORγt) and forkhead transcription factor 3 (Foxp3). RESULTS We found TLR4, MyD88, and NF-κB expressed more in MG thymoma compared with simple thymoma. After the transwell coculturing, we observed an imbalance of Th17/Treg cells after TLR4 stimulation. CONCLUSIONS TLR4 is stimulated in thymoma, causing an increase of Th17 cells and a decrease of Treg cells, namely an imbalance of Th17/Treg cells, resulting in MG.
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Affiliation(s)
- R-Y Zhang
- Department of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Heping District, Tianjin, China.
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Huang X, Chu C, Shi C, Zhang J, Yan B, Shan F, Wang D, Shi Y, Peng C, Tang BZ. Seeing is believing: Efficiency evaluation of multifunctional ionic-dependent AIEgens for tuberculosis. Biomaterials 2023; 302:122301. [PMID: 37690379 DOI: 10.1016/j.biomaterials.2023.122301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/20/2023] [Accepted: 08/29/2023] [Indexed: 09/12/2023]
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains a significant public health threat with high rates of infection and mortality. Rapid and reliable theranostics of TB are essential to control transmission and shorten treatment duration. In this study, we report two cationic aggregation-inducing emission luminogens (AIEgens) named TTVP and TTPy, which have different functional charged moieties, to investigate their potential for simultaneous tracing and photodynamic therapy in TB infection. TTVP and TTPy exhibit intrinsic positive charges, excellent water solubility, and near-infrared (NIR) emission. Based on ionic-function relationships, TTVP, with more positive charges, demonstrates a stronger binding affinity to Mycobacterium marinum (M.m), (a close genetic relative of Mtb), compared to TTPy. Both TTVP and TTPy exhibit high efficiency in generating reactive oxygen species (ROS) when exposed to white light irradiation, enabling effective photodynamic killing of M.m in vitro. Additionally, we achieved long-term, real-time, noninvasive, continuous tracing, and evaluated therapeutic performance in vivo. Notably, TTVP outperformed TTPy in intracellular killing of M.m, suggesting a possible correlation between the labeling and photodynamic killing abilities of AIEgens. These findings provide valuable insights and a design basis for cationic AIEgens in TB research, offering potential advancements in TB theranostics.
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Affiliation(s)
- Xueni Huang
- Shanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Chengshengze Chu
- School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, China
| | - Chunzi Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Jiulong Zhang
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Bo Yan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Fei Shan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Dong Wang
- Center for AIE Research, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, China.
| | - Yuxin Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
| | - Chen Peng
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
| | - Ben Zhong Tang
- School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, China.
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Luo M, Cao Q, Zhao Z, Shi Y, Yi Q, Chen J, Zeng X, Wang Z, Wang H, Yang Y, Chen J, Yang G, Zhou B, Liang C, Tan R, Wang D, Tang S, Huang J, Xiao Z, Mei Z. Risk factors of epidural hematoma in patients undergoing spinal surgery: a meta-analysis of 29 cohort studies. Int J Surg 2023; 109:3147-3158. [PMID: 37318854 PMCID: PMC10583939 DOI: 10.1097/js9.0000000000000538] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/25/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVE The authors conducted this meta-analysis to identify risk factors for spinal epidural haematoma (SEH) among patients following spinal surgery. METHODS The authors systematically searched Pub: Med, Embase, and the Cochrane Library for articles that reported risk factors associated with the development of SEH in patients undergoing spinal surgery from inception to 2 July 2022. The pooled odds ratio (OR) was estimated using a random-effects model for each investigated factor. The evidence of observational studies was classified as high quality (Class I), moderate quality (Class II or III) and low quality (Class IV) based on sample size, Egger's P value and between-study heterogeneity. In addition, subgroup analyses stratified by study baseline characteristics and leave-one-out sensitivity analyses were performed to explore the potential sources of heterogeneity and the stability of the results. RESULTS Of 21 791 articles screened, 29 unique cohort studies comprising 150 252 patients were included in the data synthesis. Studies with high-quality evidence showed that older patients (≥60 years) (OR, 1.35; 95% CI, 1.03-1.77) were at higher risk for SEH. Studies with moderate-quality evidence suggested that patients with a BMI greater than or equal to 25 kg/m² (OR, 1.39; 95% CI, 1.10-1.76), hypertension (OR, 1.67; 95% CI, 1.28-2.17), and diabetes (OR, 1.25; 95% CI, 1.01-1.55) and those undergoing revision surgery (OR, 1.92; 95% CI, 1.15-3.25) and multilevel procedures (OR, 5.20; 95% CI, 2.89-9.37) were at higher risk for SEH. Meta-analysis revealed no association between tobacco use, operative time, anticoagulant use or American Society of Anesthesiologists (ASA) classification and SEH. CONCLUSIONS Obvious risk factors for SEH include four patient-related risk factors, including older age, obesity, hypertension and diabetes, and two surgery-related risk factors, including revision surgery and multilevel procedures. These findings, however, must be interpreted with caution because most of these risk factors had small effect sizes. Nonetheless, they may help clinicians identify high-risk patients to improve prognosis.
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Affiliation(s)
- Mingjiang Luo
- Department of Spine Surgery, The Second Affiliated Hospital, Hengyang Medical School
| | - Qi Cao
- Department of Spine Surgery, The Second Affiliated Hospital, Hengyang Medical School
| | - Zhiming Zhao
- Department of Orthopedics, Suizhou Hospital, Hubei University of Medicine, Suizhou
| | - Yuxin Shi
- Department of Pediatric Dentistry, First Affiliated Hospital (Affiliated Stomatological Hospital) of Xinjiang Medical University, Urumqi
| | - Qilong Yi
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Jiang Chen
- Department of Spine Surgery, The Second Affiliated Hospital, Hengyang Medical School
| | - Xin Zeng
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Zhongze Wang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Haoyun Wang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Yuxin Yang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Juemiao Chen
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Gaigai Yang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Beijun Zhou
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Can Liang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Ridong Tan
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Di Wang
- Hengyang Medical School, University of South China, Hengyang City, Hunan Province
| | - Siliang Tang
- Department of Spine Surgery, The Second Affiliated Hospital, Hengyang Medical School
| | - Jinshan Huang
- Department of Spine Surgery, The Second Affiliated Hospital, Hengyang Medical School
| | - Zhihong Xiao
- Department of Spine Surgery, The Second Affiliated Hospital, Hengyang Medical School
| | - Zubing Mei
- Department of Spine Surgery, The Second Affiliated Hospital, Hengyang Medical School
- Department of Anorectal Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine
- Anorectal Disease Institute of Shuguang Hospital, Shanghai
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Shi Y, Frost P, Hoang B, Yang Y, Fukunaga R, Gera J, Lichtenstein A. Editorial Expression of Concern: MNK kinases facilitate c-myc IRES activity in rapamycin-treated multiple myeloma cells. Oncogene 2023; 42:3088. [PMID: 37626215 DOI: 10.1038/s41388-023-02818-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2023]
Affiliation(s)
- Y Shi
- Department of Medicine, Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center of the UCLA Medical Center, Los Angeles, CA, USA
- Laboratory of Biochemistry, Department of Biochemistry, Osaka University of Pharmaceutical Sciences, Takatsuki, Japan
| | - P Frost
- Department of Medicine, Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center of the UCLA Medical Center, Los Angeles, CA, USA
- Laboratory of Biochemistry, Department of Biochemistry, Osaka University of Pharmaceutical Sciences, Takatsuki, Japan
| | - B Hoang
- Department of Medicine, Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center of the UCLA Medical Center, Los Angeles, CA, USA
- Laboratory of Biochemistry, Department of Biochemistry, Osaka University of Pharmaceutical Sciences, Takatsuki, Japan
| | - Y Yang
- Department of Medicine, Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center of the UCLA Medical Center, Los Angeles, CA, USA
- Laboratory of Biochemistry, Department of Biochemistry, Osaka University of Pharmaceutical Sciences, Takatsuki, Japan
| | - R Fukunaga
- Department of Medicine, Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center of the UCLA Medical Center, Los Angeles, CA, USA
- Laboratory of Biochemistry, Department of Biochemistry, Osaka University of Pharmaceutical Sciences, Takatsuki, Japan
| | - J Gera
- Department of Medicine, Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center of the UCLA Medical Center, Los Angeles, CA, USA
- Laboratory of Biochemistry, Department of Biochemistry, Osaka University of Pharmaceutical Sciences, Takatsuki, Japan
| | - A Lichtenstein
- Department of Medicine, Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center of the UCLA Medical Center, Los Angeles, CA, USA.
- Laboratory of Biochemistry, Department of Biochemistry, Osaka University of Pharmaceutical Sciences, Takatsuki, Japan.
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Shi Y, Abidan A, Li D, Zibigu R, Wang M, Zheng X, Kang X, Wang H, Li J, Zhang C. [Effect of Echinococcus multilocularis infection on Tim3 expression in spleen natural killer cells of mice]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:366-373. [PMID: 37926471 DOI: 10.16250/j.32.1374.2023064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
OBJECTIVE To investigate the effect of Echinococcus multilocularis infection on Tim3 expression and its co-expression with immune checkpoint molecules 2B4 and LAG3 in spleen natural killer (NK) cells of mice. METHODS C57BL/6 mice, each weighing (20 ± 2) g, were randomly divided into a high-dose infection group (15 mice), a low-dose infection group (13 mice), and a control group (11 mice). Mice in the high- and low-dose infection groups were inoculated with 2 000 and 50 Echinococcus multilocularis protoscolices via the hepatic portal vein, while animals in the control group was injected with an equivalent amount of physiological saline via the hepatic portal vein. Mouse spleen cells were harvested 12 and 24 weeks post-infection, and Tim3 expression and its co-expression with 2B4 and LAG3 in NK cells were detected using flow cytometry. RESULTS There were significant differences in the proportions of Tim3 expression (F = 13.559, P < 0.001) and Tim3 and 2B4 co-expression (F = 12.465, P < 0.001) in mouse spleen NK cells among groups 12 weeks post-infection with E. multilocularis, and the proportion of Tim3 expression was significantly higher in mouse spleen NK cells in the low-dose infection group [(23.84 ± 2.28)%] than in the high-dose infection group [(15.72 ± 3.67)%] and the control group [(16.14 ± 3.83)%] (both P values < 0.01), while the proportion of Tim3 and 2B4 co-expression was significantly higher in mouse spleen NK cells in the low-dose infection group [(22.20 ± 2.13)%] than in the high-dose infection group [(14.17 ± 3.81)%] and the control group [(15.20 ± 3.77)%] (both P values < 0.01). There were significant differences in the proportions of Tim3 expression (F = 5.243, P < 0.05) and Tim3 and 2B4 co-expression (F = 4.659, P < 0.05) in mouse spleen NK cells among groups 24 weeks post-infection with E. multilocularis infection, and the proportions of Tim3 expression and Tim3 and 2B4 co-expression were significantly lower in mouse spleen NK cells in the high-dose infection group [(20.55 ± 7.04)% and (20.98 ± 7.12)%] than in the control group [(31.38 ± 3.19)% and (31.25 ± 3.06)%] (both P values < 0.05), and there were no significantly difference between the proportions of Tim3 expression and Tim3 and 2B4 co-expression in splenic NK cells in the low-dose infection group [(26.80 ± 6.47)% and (26.48 ± 6.48)%] and the control group (both P > 0.05). There were no significant differences in the proportions of Tim3 and LAG3 co-expression in mouse spleen NK cells among groups 12 (F = 2.283, P > 0.05) and 24 weeks post-infection (F = 0.375, P > 0.05). In the low-dose infection group, there were no significant differences in the proportions of Tim3 expression or Tim3 and 2B4 co-expression in mouse spleen NK cells 12 (t = -1.137, P > 0.05) or 24 weeks post-infection (t = -1.658, P > 0.05), and the proportion of Tim3 and LAG3 co-expression increased in mouse spleen NK cells 24 weeks post-infection relative to 12 weeks post-infection (t = -5.261, P < 0.01). In the highdose infection group, there was no significant difference in the proportion of Tim3 expression in mouse spleen NK cells 12 and 24 weeks post-infection (t = -1.546, P > 0.05); however, the proportions of Tim3 co-expression with 2B4 and LAG3 increased in mouse splenic NK cells 24 weeks post-infection relative to 12 weeks post-infection (t = -2.425 and -4.745, both P values < 0.05). CONCLUSIONS The Tim3 expression and Tim3 co-expression with LAG3 and 2B4 on spleen NK cells is affected by doses of E. multilocularis infection and disease stages, and present different phenotypes during the course of alveolar echinococcosis. NK cells tend to form an immunosuppressive phenotype with the progression of E. multilocularis infection, which facilitates immune escape and chronic parasitism of E. multilocularis.
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Affiliation(s)
- Y Shi
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
- Xinjiang Uygur Autonomous Region Key Laboratory of Molecular Biology for Endemic Diseases, China
| | - A Abidan
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - D Li
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - R Zibigu
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - M Wang
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - X Zheng
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - X Kang
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - H Wang
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - J Li
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
| | - C Zhang
- College of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830054, China
- Institute of Clinical Medicine, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Uygur Autonomous Region Key Laboratory of Echinococcosis, Urumqi, Xinjiang 830054, China
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Shi Y, Yang Y, Hoang B, Bardeleben C, Holmes B, Gera J, Lichtenstein A. Retraction Note: Therapeutic potential of targeting IRES-dependent c-myc translation in multiple myeloma cells during ER stress. Oncogene 2023; 42:3016. [PMID: 37653116 PMCID: PMC10562938 DOI: 10.1038/s41388-023-02820-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Affiliation(s)
- Y Shi
- Division of Hematology-Oncology, UCLA-Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center, VA West LA Hospital/Hematology-Oncology, W111H, West LA VA Hospital, Los Angeles, CA, USA
| | - Y Yang
- Division of Hematology-Oncology, UCLA-Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center, VA West LA Hospital/Hematology-Oncology, W111H, West LA VA Hospital, Los Angeles, CA, USA
| | - B Hoang
- Division of Hematology-Oncology, UCLA-Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center, VA West LA Hospital/Hematology-Oncology, W111H, West LA VA Hospital, Los Angeles, CA, USA
| | - C Bardeleben
- Division of Hematology-Oncology, UCLA-Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center, VA West LA Hospital/Hematology-Oncology, W111H, West LA VA Hospital, Los Angeles, CA, USA
| | - B Holmes
- Division of Hematology-Oncology, UCLA-Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center, VA West LA Hospital/Hematology-Oncology, W111H, West LA VA Hospital, Los Angeles, CA, USA
| | - J Gera
- Division of Hematology-Oncology, UCLA-Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center, VA West LA Hospital/Hematology-Oncology, W111H, West LA VA Hospital, Los Angeles, CA, USA
| | - A Lichtenstein
- Division of Hematology-Oncology, UCLA-Greater Los Angeles VA Healthcare Center and Jonsson Comprehensive Cancer Center, VA West LA Hospital/Hematology-Oncology, W111H, West LA VA Hospital, Los Angeles, CA, USA.
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Zhang H, Wu D, Wang Y, Guo K, Spencer CB, Ortoga L, Qu M, Shi Y, Shao Y, Wang Z, Cata JP, Miao C. METTL3-mediated N6-methyladenosine exacerbates ferroptosis via m6A-IGF2BP2-dependent mitochondrial metabolic reprogramming in sepsis-induced acute lung injury. Clin Transl Med 2023; 13:e1389. [PMID: 37715457 PMCID: PMC10504453 DOI: 10.1002/ctm2.1389] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/13/2023] [Accepted: 08/18/2023] [Indexed: 09/17/2023] Open
Abstract
Neutrophil extracellular traps (NETs), released by polymorphonuclear neutrophils (PMNs), exert a robust antimicrobial function in infectious diseases such as sepsis. NETs also contribute to the pathogenesis and exacerbation of sepsis. Although the lung is highly vulnerable to infections, few studies have explored the role of NETs in sepsis-induced acute lung injury (SI-ALI). We demonstrate that NETs induce SI-ALI via enhanced ferroptosis in alveolar epithelial cells. Our findings reveal that the excessive release of NETs in patients and mice with SI-ALI is accompanied by upregulation of ferroptosis depending on METTL3-induced m6A modification of hypoxia-inducible factor-1α (HIF-1α) and subsequent mitochondrial metabolic reprogramming. In addition to conducting METTL3 overexpression and knockdown experiments in vitro, we also investigated the impact of ferroptosis on SI-ALI caused by NETs in a caecum ligation and puncture (CLP)-induced SI-ALI model using METTL3 condition knockout (CKO) mice and wild-type mice. Our results indicate the crucial role of NETs in the progression of SI-ALI via NET-activated METTL3 m6A-IGF2BP2-dependent m6A modification of HIF-1α, which further contributes to metabolic reprogramming and ferroptosis in alveolar epithelial cells.
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Affiliation(s)
- Hao Zhang
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Dan Wu
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yanghanzhao Wang
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Kefang Guo
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | | | - Lilibeth Ortoga
- Department of Biomedical EngineeringOhio State UniversityColumbusOhioUSA
| | - Mengdi Qu
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yuxin Shi
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yuwen Shao
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Zhiping Wang
- Department of AnesthesiologyAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Juan P. Cata
- Department of Anesthesiology and Perioperative MedicineUniversity of Texas‐MD Anderson Cancer CenterHoustonTexasUSA
- Anesthesiology and Surgical Oncology Research GroupHoustonTexasUSA
| | - Changhong Miao
- Department of AnesthesiologyZhongshan HospitalFudan UniversityShanghaiChina
- Shanghai Key Laboratory of Perioperative Stress and ProtectionShanghaiChina
- Department of AnesthesiologyShanghai Medical CollegeFudan UniversityShanghaiChina
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Helzer KT, Sharifi MN, Sperger JM, Shi Y, Annala M, Bootsma ML, Reese SR, Taylor A, Kaufmann KR, Krause HK, Schehr JL, Sethakorn N, Kosoff D, Kyriakopoulos C, Burkard ME, Rydzewski NR, Yu M, Harari PM, Bassetti M, Blitzer G, Floberg J, Sjöström M, Quigley DA, Dehm SM, Armstrong AJ, Beltran H, McKay RR, Feng FY, O'Regan R, Wisinski KB, Emamekhoo H, Wyatt AW, Lang JM, Zhao SG. Fragmentomic analysis of circulating tumor DNA-targeted cancer panels. Ann Oncol 2023; 34:813-825. [PMID: 37330052 PMCID: PMC10527168 DOI: 10.1016/j.annonc.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 05/30/2023] [Accepted: 06/06/2023] [Indexed: 06/19/2023] Open
Abstract
BACKGROUND The isolation of cell-free DNA (cfDNA) from the bloodstream can be used to detect and analyze somatic alterations in circulating tumor DNA (ctDNA), and multiple cfDNA-targeted sequencing panels are now commercially available for Food and Drug Administration (FDA)-approved biomarker indications to guide treatment. More recently, cfDNA fragmentation patterns have emerged as a tool to infer epigenomic and transcriptomic information. However, most of these analyses used whole-genome sequencing, which is insufficient to identify FDA-approved biomarker indications in a cost-effective manner. PATIENTS AND METHODS We used machine learning models of fragmentation patterns at the first coding exon in standard targeted cancer gene cfDNA sequencing panels to distinguish between cancer and non-cancer patients, as well as the specific tumor type and subtype. We assessed this approach in two independent cohorts: a published cohort from GRAIL (breast, lung, and prostate cancers, non-cancer, n = 198) and an institutional cohort from the University of Wisconsin (UW; breast, lung, prostate, bladder cancers, n = 320). Each cohort was split 70%/30% into training and validation sets. RESULTS In the UW cohort, training cross-validated accuracy was 82.1%, and accuracy in the independent validation cohort was 86.6% despite a median ctDNA fraction of only 0.06. In the GRAIL cohort, to assess how this approach performs in very low ctDNA fractions, training and independent validation were split based on ctDNA fraction. Training cross-validated accuracy was 80.6%, and accuracy in the independent validation cohort was 76.3%. In the validation cohort where the ctDNA fractions were all <0.05 and as low as 0.0003, the cancer versus non-cancer area under the curve was 0.99. CONCLUSIONS To our knowledge, this is the first study to demonstrate that sequencing from targeted cfDNA panels can be utilized to analyze fragmentation patterns to classify cancer types, dramatically expanding the potential capabilities of existing clinically used panels at minimal additional cost.
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Affiliation(s)
- K T Helzer
- Department of Human Oncology, University of Wisconsin, Madison
| | - M N Sharifi
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - J M Sperger
- Department of Medicine, University of Wisconsin, Madison, USA
| | - Y Shi
- Department of Human Oncology, University of Wisconsin, Madison
| | - M Annala
- Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, Vancouver, Canada; Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - M L Bootsma
- Department of Human Oncology, University of Wisconsin, Madison
| | - S R Reese
- Department of Human Oncology, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - A Taylor
- Department of Medicine, University of Wisconsin, Madison, USA
| | - K R Kaufmann
- Department of Medicine, University of Wisconsin, Madison, USA
| | - H K Krause
- Department of Medicine, University of Wisconsin, Madison, USA
| | - J L Schehr
- Carbone Cancer Center, University of Wisconsin, Madison
| | - N Sethakorn
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - D Kosoff
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - C Kyriakopoulos
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - M E Burkard
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - N R Rydzewski
- Department of Human Oncology, University of Wisconsin, Madison
| | - M Yu
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison
| | - P M Harari
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - M Bassetti
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - G Blitzer
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - J Floberg
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - M Sjöström
- Department of Radiation Oncology, University of California San Francisco, San Francisco; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco
| | - D A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco; Departments of Epidemiology and Biostatistics; Urology, University of California San Francisco, San Francisco
| | - S M Dehm
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - A J Armstrong
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Department of Medicine, Duke University, Durham
| | - H Beltran
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston
| | - R R McKay
- Moores Cancer Center, University of California San Diego, La Jolla
| | - F Y Feng
- Department of Radiation Oncology, University of California San Francisco, San Francisco; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis; Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco
| | - R O'Regan
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA; Department of Medicine, University of Rochester, Rochester, USA
| | - K B Wisinski
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - H Emamekhoo
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - A W Wyatt
- Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, Vancouver, Canada; Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada
| | - J M Lang
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - S G Zhao
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison; William S. Middleton Memorial Veterans' Hospital, Madison, USA.
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