1
|
Chu Y, Zhang X, Zuo L, Wang X, Shi Y, Liu L, Zhou L, Kang J, Li B, Cheng W, Du S, Sun Z. Establishment of a multi-strategy platform for quality control and quality markers screen of Mailuoshutong pill. J Pharm Biomed Anal 2024; 243:116070. [PMID: 38428246 DOI: 10.1016/j.jpba.2024.116070] [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: 01/08/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/03/2024]
Abstract
Thromboangiitis obliterans (TAO) is a non-atherosclerotic segmental inflammatory occlusive disease with a high recurrence rate, high disability rate, difficulty to cure, and poor prognosis. It has been clinically proven that Mailuoshutong pill (MLSTP) is an effective traditional Chinese medicine for treating TAO. As MLSTP contains hundreds of chemical components, the quality control of which is a challenge in the development of reliable quality evaluation metrics. This study aimed to evaluate the quality uniformity of MLSTP by establishing a multi-strategy platform. In the present study, the key targets and signaling pathways of MLSTP treating TAO were predicted by network pharmacology. It was further shown by in vivo validation experiments that MLSTP exerted therapeutic effects on TAO by modulating the PI3K-AKT signaling pathway, VEGF signaling pathway, and HIF-1 signaling pathway. In addition, UPLC fingerprints of MLSTP were established and screened for potential Q-markers of MLSTP in combination with network pharmacology results. Six components, including chlorogenic acid, liquiritin, paeoniflorin, calycosin-7-glucoside, berberine, and formononetin, were selected as potential quality markers (Q-markers) in MLSTP. Finally, the quantitative analysis of multi-components by single marker (QAMS) method was established to quantitatively analyze the six potential Q-markers, and the results were consistent with those obtained by the external standard method (ESM). Taken together, the multi-strategy platform established in this study would be conducive to the Q-markers screening and quality control of MLSTP, improving the quality standard of MLSTP and providing favorable assurance for the clinical management of TAO.
Collapse
Affiliation(s)
- Yaojuan Chu
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China
| | - Xiangyu Zhang
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China; Department of Pharmacy, the Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Lihua Zuo
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China
| | - Xiaobao Wang
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China
| | - Yingying Shi
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China
| | - Liwei Liu
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China
| | - Lin Zhou
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China
| | - Jian Kang
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China
| | - Bing Li
- State Key Laboratory of Common Technology of Traditional Chinese Medicine and Pharmaceuticals, Lunan Pharmaceutical Group Co., Ltd., Linyi 276000, China
| | - Wenbo Cheng
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215000, China
| | - Shuzhang Du
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China.
| | - Zhi Sun
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou Key Laboratory of Clinical Mass Spectrometry, Zhengzhou 450052, China.
| |
Collapse
|
2
|
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.
Collapse
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.
| |
Collapse
|
3
|
Shi Y, Du Q, Li Z, Xue L, Jia Q, Zheng T, Liu J, Ren R, Sun Z. Multiomics profiling of the therapeutic effect of Dan-deng-tong-nao capsule on cerebral ischemia-reperfusion injury. Phytomedicine 2024; 128:155335. [PMID: 38518648 DOI: 10.1016/j.phymed.2023.155335] [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] [Received: 08/20/2023] [Revised: 12/20/2023] [Accepted: 12/30/2023] [Indexed: 03/24/2024]
Abstract
BACKGROUND Stroke is a complex physiological process associated with intestinal flora dysbiosis and metabolic disorders. Dan-deng-tong-nao capsule (DDTN) is a traditional Chinese medicine used clinically to treat cerebral ischemia-reperfusion injury (CIRI) for many years. However, little is known about the effects of DDTN in the treatment of CIRI from the perspective of gut microbiota and metabolites. PURPOSE This study aimed to investigate the regulatory roles of DDTN in endogenous metabolism and gut microbiota in CIRI rats, thus providing a basis for clinical rational drug use and discovering natural products with potential physiological activities in DDTN for the treatment of CIRI. METHODS The chemical composition of DDTN in vitro and in vivo was investigated using ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLCHRMS), followed by target prediction using reverse molecular docking. Secondly, a biological evaluation of DDTN ameliorating neural damage in CIRI was performed at the whole animal level. Then, an integrated omics approach based on UHPLCHRMS and 16S rRNA sequencing was proposed to reveal the anti-CIRI effect and possible mechanism of DDTN. Finally, exploring the intrinsic link between changes in metabolite profiles, changes in the intestinal flora, and targets of components to reveal DDTN for the treatment of CIRI. RESULTS A total of 112 chemical components of DDTN were identified in vitro and 10 absorbed constituents in vivo. The efficacy of DDTN in the treatment of CIRI was confirmed by alleviating cerebral infarction and neurological deficits. After the DDTN intervention, 21 and 26 metabolites were significantly altered in plasma and fecal, respectively. Based on the fecal microbiome, a total of 36 genera were enriched among the different groups. Finally, the results of the network integration analysis showed that the 10 potential active ingredients of DDTN could mediate the differential expression of 24 metabolites and 6 gut microbes by targeting 25 target proteins. CONCLUSION This study was the first to outline the landscapes of metabolites as well as gut microbiota regulated by DDTN in CIRI rats using multi-omics data, and comprehensively revealed the systematic relationships among ingredients, targets, metabolites, and gut microbiota, thus providing new perspectives on the mechanism of DDTN in the treatment of CIRI.
Collapse
Affiliation(s)
- Yingying Shi
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China
| | - Qiuzheng Du
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China
| | - Zhuolun Li
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China
| | - Lianping Xue
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China
| | - Qingquan Jia
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China
| | - Tianyuan Zheng
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China
| | - Jiyun Liu
- School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian Province, 361102, PR China
| | - Ruobing Ren
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China
| | - Zhi Sun
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China; Henan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, Henan Province, 450052, PR China.
| |
Collapse
|
4
|
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.
Collapse
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.
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Lan J, Deng C, Huang H, Rao P, Chen Y, Shi Y, Chen J, Shi G, Liu Y, Chen S. Seronegative primary Sjögren's syndrome, a distinct subtype of primary Sjögren's syndrome in Chinese patients. BMC Rheumatol 2024; 8:15. [PMID: 38627838 PMCID: PMC11020423 DOI: 10.1186/s41927-024-00384-9] [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: 07/30/2023] [Accepted: 03/21/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND To investigate the clinical and immune characteristics of patients with primary Sjögren's syndrome (pSS) who were negative for anti-Sjögren's-syndrome-related antigen A antibodies (anti-SSA) and anti-Sjögren's-syndrome-related antigen B antibodies (anti-SSB) in Chinese population. METHODS A retrospective study were performed and 232 patients with pSS were analyzed. Patients positive for anti-SSA or/and anti-SSB were termed as seropositive pSS, and these negative for both anti-SSA and anti-SSB (non-antinuclear antibodies) as seronegative pSS. Clinical manifestations and laboratory findings were compared between the two groups. RESULTS Among the 232 patients with pSS, 192 (82.8%) were seropositive pSS and 40 (17.2%) were seronegative pSS. Compared to seropositive pSS, seronegative pSS were older and with higher percentage of low disease activity (ESSDAI < 5), xerostomia and xerophthalmia, with higher platelet count and level of creatine kinase. This subgroup was with lower levels of gamma globulin, immunoglobulin G, immunoglobulin A and autoantibodies including rheumatoid factor and antinuclear antibody in serum, and less immunoglobulin G deposition in labial gland. CONCLUSION Seronegative pSS was a distinct subtype of pSS different from seropositive pSS. Clinical manifestations in seronegative pSS subgroup were restricted to exocrine gland and less B lymphocyte activation, while seropositive pSS were prone to present with systemic involvement and high disease activity. Specific underlying pathogenesis mechanisms and therapeutic strategies in this subgroup needed to be further studied.
Collapse
Affiliation(s)
- Jingying Lan
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China
- Department of Rheumatology and Immunology, The First People's Hospital of Yibin, 644000, Yibin, Sichuan, China
| | - Chaoqiong Deng
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China
| | - Heqing Huang
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China
| | - Peishi Rao
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China
| | - Yangchun Chen
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China
| | - Yingying Shi
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China
| | - Jie Chen
- Department of Rheumatology and Clinical Immunology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, 330006, Nanchang, China
| | - Guixiu Shi
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China.
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China.
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China.
| | - Yuan Liu
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China.
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China.
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China.
| | - Shiju Chen
- Department of Rheumatology and Clinical Immunology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Zhenhai Rd. 55#, 361000, Xiamen, Fujian, China.
- Xiamen Municipal Clinical Research Center for Immune Diseases, 361000, Xiamen, Fujian, China.
- Xiamen Key Laboratory of Rheumatology and Clinical Immunology, 361000, Xiamen, Fujian, China.
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
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.
Collapse
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
| |
Collapse
|
9
|
Shan X, Lu Y, Luo Z, Zhao X, Pang M, Yin H, Guo X, Zhou H, Zhang J, Huang J, Shi Y, Lou J, Luo L, You J. A Long-Acting Lyotropic Liquid Crystalline Implant Promotes the Drainage of Macromolecules by Brain-Related Lymphatic System in Treating Aged Alzheimer's Disease. ACS Nano 2024; 18:9688-9703. [PMID: 38517764 DOI: 10.1021/acsnano.4c01206] [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] [Indexed: 03/24/2024]
Abstract
Numerous evidence has demonstrated that the brain is not an immune-privileged organ but possesses a whole set of lymphatic transport system, which facilitates the drainage of harmful waste from brains to maintain cerebral homeostasis. However, as individuals age, the shrinkage and dysfunction of meningeal and deep cervical lymphatic networks lead to reduced waste outflow and elevated neurotoxic molecules deposition, further inducing aging-associated cognitive decline, which act as one of the pathological mechanisms of Alzheimer's disease. Consequently, recovering the function of meningeal and deep cervical lymph node (dCLNs) networks (as an important part of the brain waste removal system (BWRS)) of aged brains might be a feasible strategy. Herein we showed that the drug brain-entering efficiency was highly related to administration routes (oral, subcutaneous, or dCLN delivery). Besides, by injecting a long-acting lyotropic liquid crystalline implant encapsulating cilostazol (an FDA-approved selective PDE-3 inhibitor) and donepezil hydrochloride (a commonly used symptomatic relief agent to inhibit acetylcholinesterase for Alzheimer's disease) near the deep cervical lymph nodes of aged mice (about 20 months), an increase of lymphatic vessel coverage in the nodes and meninges was observed, along with accelerated drainage of macromolecules from brains. Compared with daily oral delivery of cilostazol and donepezil hydrochloride, a single administered dual drugs-loaded long-acting implants releasing for more than one month not only elevated drug concentrations in brains, improved the clearing efficiency of brain macromolecules, reduced Aβ accumulation, enhanced cognitive functions of the aged mice, but improved patient compliance as well, which provided a clinically accessible therapeutic strategy toward aged Alzheimer's diseases.
Collapse
Affiliation(s)
- Xinyu Shan
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Yichao Lu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Zhenyu Luo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Xiaoqi Zhao
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Mei Pang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Hang Yin
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Xuemeng Guo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Huanli Zhou
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Junlei Zhang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Jiaxin Huang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Yingying Shi
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Jinfang Lou
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
| | - Lihua Luo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
- Jinhua Institute of Zhejiang University, 498 Yiwu Street, Jinhua, Zhejiang 321299, P. R. China
| | - Jian You
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, P. R. China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang 310006, P. R. China
- The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, P. R. China
- Jinhua Institute of Zhejiang University, 498 Yiwu Street, Jinhua, Zhejiang 321299, P. R. China
| |
Collapse
|
10
|
Wang Y, Jiang J, Ding Z, Zhang T, Shi Y, Huang X, Shen X. Design, synthesis, and in vitro gene transfer efficacy of novel ionizable cholesterol derivatives. J Liposome Res 2024:1-13. [PMID: 38563474 DOI: 10.1080/08982104.2024.2333755] [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: 12/25/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024]
Abstract
ABSTACTThe medicinal properties of genetic drugs are highly dependent on the design of delivery systems. Ionizable cationic lipids are considered core materials in delivery systems. However, there has not yet been a widespread consensus on the relationship between the wide diversity of lipid structure design and gene delivery efficiency. The aims of the research work were to synthesize ionizable cholesterol derivatives (iChol-lipids) and to evaluate their potential applications as gene delivery vector. A series of iChol-lipids with different head groups were synthesized with carbamate bond spacer. The chemical structures were characterized by 1H NMR, MS, melting range, and pKa. The interactions between iChol-lipids and MALAT1-siRNA were studied by molecular dynamics simulations and compared with market available DC-Chol, which revealed that hydrogen bonds, salt-bridge, and electrostatic interaction were probably involved. The self-assemble behaviors of these lipids were intensively investigated and evaluated by dynamic laser scattering in the presence of different helper lipids and PEGylated lipids. Their plasmid binding ability, transfection efficiency, hemolytic toxicity, and cytotoxicity were fully studied. IZ-Chol-LNPs was proved to be highly potential to effectively complex with DNA, and endosome escape mechanisms mediated by proton sponge effect was verified by pH-sensitive fluorescence probe BCFL.
Collapse
Affiliation(s)
- Yajing Wang
- School of Pharmacy, Changzhou University, Changzhou, PR China
| | - Jiahui Jiang
- School of Pharmacy, Changzhou University, Changzhou, PR China
| | - Ziwei Ding
- School of Pharmacy, Changzhou University, Changzhou, PR China
| | - Tao Zhang
- School of Pharmacy, Changzhou University, Changzhou, PR China
| | - Yingying Shi
- School of Pharmacy, Changzhou University, Changzhou, PR China
| | - Xianfeng Huang
- School of Pharmacy, Changzhou University, Changzhou, PR China
| | - Xiaozhong Shen
- Guangdong Food and Drug Vocational College, Guangzhou, PR China
| |
Collapse
|
11
|
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.
Collapse
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.
| |
Collapse
|
12
|
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.
Collapse
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
| |
Collapse
|
13
|
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.
Collapse
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
| |
Collapse
|
14
|
Shao J, Lai C, Zheng Q, Luo Y, Li C, Zhang B, Sun Y, Liu S, Shi Y, Li J, Zhao Z, Guo L. Effects of dietary arsenic exposure on liver metabolism in mice. Ecotoxicol Environ Saf 2024; 274:116147. [PMID: 38460405 DOI: 10.1016/j.ecoenv.2024.116147] [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] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/11/2024]
Abstract
Arsenic, a ubiquitous environmental toxicant with various forms and complex food matrix interactions, can reportedly exert differential effects on the liver compared to drinking water exposure. To examine its specific liver-related harms, we targeted the liver in C57BL/6 J mice (n=48, 8-week-old) fed with arsenic-contaminated food (30 mg/kg) for 60 days, mimicking the rice arsenic composition observed in real-world scenarios (iAsV: 7.3%, iAsIII: 72.7%, MMA: 1.0%, DMA: 19.0%). We then comprehensively evaluated liver histopathology, metabolic changes, and the potential role of the gut-liver axis using human hepatocellular carcinoma cells (HepG2) and microbiota/metabolite analyses. Rice arsenic exposure significantly altered hepatic lipid (fatty acids, glycerol lipids, phospholipids, sphingolipids) and metabolite (glutathione, thioneine, spermidine, inosine, indole-derivatives, etc.) profiles, disrupting 33 metabolic pathways (bile secretion, unsaturated fatty acid biosynthesis, glutathione metabolism, ferroptosis, etc.). Pathological examination revealed liver cell necrosis/apoptosis, further confirmed by ferroptosis induction in HepG2 cells. Gut microbiome analysis showed enrichment of pathogenic bacteria linked to liver diseases and depletion of beneficial strains. Fecal primary and secondary bile acids, short-chain fatty acids, and branched-chain amino acids were also elevated. Importantly, mediation analysis revealed significant correlations between gut microbiota, fecal metabolites, and liver metabolic alterations, suggesting fecal metabolites may mediate the impact of gut microbiota and liver metabolic disorders. Gut microbiota and its metabolites may play significant roles in arsenic-induced gut-liver injuries. Overall, our findings demonstrate that rice arsenic exposure triggers oxidative stress, disrupts liver metabolism, and induces ferroptosis.
Collapse
Affiliation(s)
- Junli Shao
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Chengze Lai
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Qiuyi Zheng
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Yu Luo
- Guangzhou Liwan District Center for Disease Control and Prevention, Guangzhou, Guangdong 510176, China
| | - Chengji Li
- Yunfu Disease Control and Prevention Center, Guangdong Province 527300, China
| | - Bin Zhang
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Yanqin Sun
- Department of Pathology, School of Basic Medical Sciences, Guangdong Medical University, Dongguan 523808, China
| | - Shizhen Liu
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Yingying Shi
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Jinglin Li
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Zuguo Zhao
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
| | - Lianxian Guo
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
| |
Collapse
|
15
|
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.
Collapse
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
| |
Collapse
|
16
|
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.
Collapse
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
| |
Collapse
|
17
|
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.
Collapse
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
| |
Collapse
|
18
|
Shi Y, Chen Z, Huang L, Gong Y, Shi L. A network pharmacology approach to reveal the key ingredients in Scrophulariae Radix (SR) and their effects against Alzheimer's disease. Heliyon 2024; 10:e24785. [PMID: 38322920 PMCID: PMC10844110 DOI: 10.1016/j.heliyon.2024.e24785] [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: 10/04/2023] [Revised: 12/20/2023] [Accepted: 01/15/2024] [Indexed: 02/08/2024] Open
Abstract
Background Scrophulariae Radix (SR) is a commonly used medicinal plant. Alzheimer's disease (AD) is a neurodegenerative disease for which there is no effective treatment. This study aims to initially clarify the potential mechanism of SR in the treatment of AD based on network pharmacology and molecular docking techniques. Methods The principal components and corresponding protein targets of SR were conducted by HPLC analysis and searched on TCMSP. AD targets were searched on DrugBank, Chemogenomics, TTD, OMIM and GeneCards databases. The compound-target network was constructed by Cytoscape3.8.2. The intersection of compound target and disease target was obtained and the coincidence target was imported into STRING database to construct a PPI network. We further performed GO and KEGG enrichment analysis on the targets. Meanwhile, molecular docking study and cell experiments were approved for the core target and the active compound. Results Through multidatabase retrieval and integration, it was found that 17 components of SR could exert anti-AD effects against 40 targets. KEGG enrichment analysis indicated that Alzheimer's disease (hsa05010) was one of the most significant AD enrichment signalling pathways. Combined with the gene expression profile information in the AlzData database, 15 targets were found to be associated with tau or beta-amyloid protein (Aβ). GO analysis indicated that the primary molecular functions of SR in the treatment of AD were neurotransmitter receptor activity (GO:0007268), postsynaptic neurotransmitter receptor activity (GO:0070997), and acetylcholine receptor activity (GO:0050435). Moreover, we explored the anti-AD effects of SR extract and ursolic acid (UA) using SH-SY5Y cells. Treatment of SH-SY5Y cells with 20 μM UA significantly reduced the oxidative damage to these neuronal cells. Conclusion This study reveals the active ingredients and potential molecular mechanism of SR in the treatment of AD, and provides a theoretical basis for further basic research and clinical application.
Collapse
Affiliation(s)
- Yingying Shi
- Department of Immunology, School of Medicine, Jianghan University, Wuhan, Hubei, 430056, China
| | - Zhongqiang Chen
- Department of Pharmacy, School of Medicine, Jianghan University, Wuhan, Hubei, 430056, China
| | - Lixia Huang
- Department of Immunology, School of Medicine, Jianghan University, Wuhan, Hubei, 430056, China
| | - Yeli Gong
- Department of Immunology, School of Medicine, Jianghan University, Wuhan, Hubei, 430056, China
| | - Lu Shi
- Department of Pharmacy, School of Medicine, Jianghan University, Wuhan, Hubei, 430056, China
| |
Collapse
|
19
|
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.
Collapse
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
| |
Collapse
|
20
|
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.
Collapse
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
| |
Collapse
|
21
|
Zhong X, Zhang G, Huang J, Chen L, Shi Y, Wang D, Zheng Q, Su H, Li X, Wang C, Zhang J, Guo L. Effects of Intestinal Microbiota on the Biological Transformation of Arsenic in Zebrafish: Contribution and Mechanism. Environ Sci Technol 2024; 58:2247-2259. [PMID: 38179619 DOI: 10.1021/acs.est.3c08010] [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] [Indexed: 01/06/2024]
Abstract
Both the gut microbiome and their host participate in arsenic (As) biotransformation, while their exact roles and mechanisms in vivo remain unclear and unquantified. In this study, as3mt-/- zebrafish were treated with tetracycline (TET, 100 mg/L) and arsenite (iAsIII) exposure for 30 days and treated with probiotic Lactobacillus rhamnosus GG (LGG, 1 × 108 cfu/g) and iAsIII exposure for 15 days, respectively. Structural equation modeling analysis revealed that the contribution rates of the intestinal microbiome to the total arsenic (tAs) and inorganic As (iAs) metabolism approached 44.0 and 18.4%, respectively. Compared with wild-type, in as3mt-/- zebrafish, microbial richness and structure were more significantly correlated with tAs and iAs, and more differential microbes and microbial metabolic pathways significantly correlated with arsenic metabolites (P < 0.05). LGG supplement influenced the microbial communities, significantly up-regulated the expressions of genes related to As biotransformation (gss and gst) in the liver, down-regulated the expressions of oxidative stress genes (sod1, sod2, and cat) in the intestine, and increased arsenobetaine concentration (P < 0.05). Therefore, gut microbiome promotes As transformation and relieves As accumulation, playing more active roles under iAs stress when the host lacks key arsenic detoxification enzymes. LGG can promote As biotransformation and relieve oxidative stress under As exposure.
Collapse
Affiliation(s)
- Xiaoting Zhong
- Affiliated Hospital of Guangdong Medical University & Zhanjiang Key Laboratory of Zebrafish Model for Development and Disease, Guangdong Medical University, Zhanjiang 524001, China
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
- Zhanjiang Institute of Clinical Medicine, Central People's Hospital of Zhanjiang, Guangdong Medical University Zhanjiang Central Hospital, Zhanjiang 524045, PR China
| | - Guiwei Zhang
- Shenzhen Academy of Metrology and Quality Inspection, Shenzhen 518000, China
| | - Jieliang Huang
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Linkang Chen
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Yingying Shi
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Dongbin Wang
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Qiuyi Zheng
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Hongtian Su
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Xiang Li
- Affiliated Hospital of Guangdong Medical University & Zhanjiang Key Laboratory of Zebrafish Model for Development and Disease, Guangdong Medical University, Zhanjiang 524001, China
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Chunchun Wang
- Affiliated Hospital of Guangdong Medical University & Zhanjiang Key Laboratory of Zebrafish Model for Development and Disease, Guangdong Medical University, Zhanjiang 524001, China
| | - Jingjing Zhang
- Affiliated Hospital of Guangdong Medical University & Zhanjiang Key Laboratory of Zebrafish Model for Development and Disease, Guangdong Medical University, Zhanjiang 524001, China
| | - Lianxian Guo
- Dongguan Key Laboratory of Public Health Laboratory Science, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| |
Collapse
|
22
|
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.
Collapse
Affiliation(s)
- Y Shi
- Department of Respiratory Medicine, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
| | | |
Collapse
|
23
|
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.
Collapse
Affiliation(s)
- Z-H Sun
- Department of Orthopedics, Jinzhai County People's Hospital, Liuan, China.
| | | | | | | | | | | | | |
Collapse
|
24
|
Shi Y, Luo S, Zhai J, Chen Y. A novel causative role of imbalanced kynurenine pathway in ulcerative colitis: Upregulation of KMO and KYNU promotes intestinal inflammation. Biochim Biophys Acta Mol Basis Dis 2024; 1870:166929. [PMID: 37918679 DOI: 10.1016/j.bbadis.2023.166929] [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: 07/11/2023] [Revised: 10/14/2023] [Accepted: 10/25/2023] [Indexed: 11/04/2023]
Abstract
The kynurenine pathway (KP) is the principal metabolic route for the essential amino acid tryptophan (TRP). Recent advances have highlighted a pivotal role for several KP metabolites in inflammatory diseases, including ulcerative colitis (UC). However, the alterations of KP enzymes and their functional impact in UC remain poorly defined. Here, we focused on kynurenine 3-monooxygenase (KMO) and kynureninase (KYNU), which serve as critical branching enzymes in the KP. We observed that dextran sodium sulfate (DSS)-induced colitis mice exhibited disturbed TRP metabolism along with KMO and KYNU upregulated. In patients with active UC, both the expression of KMO and KYNU were positively correlated with inflammatory factors TNF-α and IL-1β. Pharmacological blockade of KMO or genetic silencing of KYNU suppressed IL-1β-triggered proinflammatory cytokines expression in intestinal epithelial cells. Furthermore, blockage of KMO by selective inhibitor Ro 61-8048 alleviated the symptoms of DSS-induced colitis in mice, accompanied by an expanded NAD+ pool and redox balance restoration. The protective role of Ro 61-8048 may be partly due to its effect on KP regulation, particularly in enhancing kynurenic acid production. In summary, our study provides new evidence for the proinflammatory property of KMO and KYNU in intestinal inflammation, hinting at a promising therapeutic approach in UC through targeting these enzymes.
Collapse
Affiliation(s)
- Yingying Shi
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Shangjian Luo
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Jinyang Zhai
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Yingwei Chen
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
25
|
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.
Collapse
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.
| |
Collapse
|
26
|
Yang L, Liu Y, Ren X, Jia R, Si L, Bao J, Shi Y, Sun J, Zhong Y, Duan PC, Yang X, Zhu R, Jia Y, Bai F. Microemulsion-Assisted Self-Assembly of Indium Porphyrin Photosensitizers with Enhanced Photodynamic Therapy. ACS Nano 2024; 18:3161-3172. [PMID: 38227816 DOI: 10.1021/acsnano.3c09399] [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] [Indexed: 01/18/2024]
Abstract
Designing and constructing supramolecular photosensitizer nanosystems with highly efficient photodynamic therapy (PDT) is vital in the nanomedical field. Despite recent advances in forming well-defined superstructures, the relationship between molecular arrangement in nanostructures and photodynamic properties has rarely been involved, which is crucial for developing stable photosensitizers for highly efficient PDT. In this work, through a microemulsion-assisted self-assembly approach, indium porphyrin (InTPP) was used to fabricate a series of morphology-controlled self-assemblies, including nanorods, nanospheres, nanoplates, and nanoparticles. They possessed structure-dependent 1O2 generation efficiency. Compared with the other three nanostructures, InTPP nanorods featuring strong π-π stacking, J-aggregation, and high crystallinity proved to be much more efficient at singlet oxygen (1O2) production. Also, theoretical modeling and photophysical experiments verified that the intermolecular π-π stacking in the nanorods could cause a decreased singlet-triplet energy gap (ΔEST) compared with the monomer. This played a key role in enhancing intersystem crossing and facilitating 1O2 generation. Both in vitro and in vivo experiments demonstrated that the InTPP nanorods could trigger cell apoptosis and tumor ablation upon laser irradiation (635 nm, 0.1 W/cm2) and exhibited negligible dark toxicity and high phototoxicity. Thus, the supramolecular self-assembly strategy provides an avenue for designing high-performance photosensitizer nanosystems for photodynamic therapy and beyond.
Collapse
Affiliation(s)
- Linfeng Yang
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Yanqiu Liu
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Xiaorui Ren
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Rixin Jia
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Lulu Si
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Jianshuai Bao
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Yingying Shi
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Jiajie Sun
- School of Physics and Electronics, Henan University, Kaifeng 475004, China
| | - Yong Zhong
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Peng-Cheng Duan
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Xiaoyan Yang
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Rui Zhu
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Yu Jia
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
| | - Feng Bai
- Key Laboratory for Special Functional Materials of Ministry of Education, National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China
- Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng 475004, China
| |
Collapse
|
27
|
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.
Collapse
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
| |
Collapse
|
28
|
Lu Y, Luo Z, Zhou H, Shi Y, Zhu Y, Guo X, Huang J, Zhang J, Liu X, Wang S, Shan X, Yin H, Du Y, Li Q, You J, Luo L. A nanoemulsion targeting adipose hypertrophy and hyperplasia shows anti-obesity efficiency in female mice. Nat Commun 2024; 15:72. [PMID: 38167723 PMCID: PMC10761889 DOI: 10.1038/s41467-023-44416-3] [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: 10/06/2022] [Accepted: 12/12/2023] [Indexed: 01/05/2024] Open
Abstract
Obesity often leads to severe medical complications. However, existing FDA-approved medications to combat obesity have limited effectiveness in reducing adiposity and often cause side effects. These medications primarily act on the central nervous system or disrupt fat absorption through the gastrointestinal tract. Adipose tissue enlargement involves adipose hyperplasia and hypertrophy, both of which correlate with increased reactive oxygen species (ROS) and hyperactivated X-box binding protein 1 (XBP1) in (pre)adipocytes. In this study, we demonstrate that KT-NE, a nanoemulsion loaded with the XBP1 inhibitor KIRA6 and α-Tocopherol, simultaneously alleviates aberrant endoplasmic reticulum stress and oxidative stress in (pre)adipocytes. As a result, KT-NE significantly inhibits abnormal adipogenic differentiation, reduces lipid droplet accumulation, restricts lipid droplet transfer, impedes obesity progression, and lowers the risk of obesity-associated non-alcoholic fatty liver disease in female mice with obesity. Furthermore, diverse administration routes of KT-NE impact its in vivo biodistribution and contribute to localized and/or systemic anti-obesity effectiveness.
Collapse
Affiliation(s)
- Yichao Lu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Zhenyu Luo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Huanli Zhou
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Yingying Shi
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Ying Zhu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Xuemeng Guo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Jiaxin Huang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Junlei Zhang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Xu Liu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Sijie Wang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Xinyu Shan
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Hang Yin
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Yongzhong Du
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China
| | - Qingpo Li
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China.
| | - Jian You
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China.
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, 310006, PR China.
- The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang, 310000, PR China.
- Jinhua Institute of Zhejiang University, 498 Yiwu Street, Jinhua, Zhejiang, 321299, PR China.
| | - Lihua Luo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, PR China.
| |
Collapse
|
29
|
Zhang Z, Qu J, Lu M, Zhao X, Xu Y, Wang L, Liu Z, Shi Y, Liu C, Li Y, Wang C, Xu M, Nan Z, Cao Q, Pan J, Liu W, Li X, Sun Q, Wang W. The maize transcription factor CCT regulates drought tolerance by interacting with Fra a 1, E3 ligase WIPF2, and auxin response factor Aux/IAA8. J Exp Bot 2024; 75:103-122. [PMID: 37725963 DOI: 10.1093/jxb/erad372] [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] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/18/2023] [Indexed: 09/21/2023]
Abstract
Plants are commonly exposed to abiotic stressors, which can affect their growth, productivity, and quality. Previously, the maize transcription factor ZmCCT was shown to be involved in the photoperiod response, delayed flowering, and quantitative resistance to Gibberella stalk rot. In this study, we demonstrate that ZmCCT can regulate plant responses to drought. ZmCCT physically interacted with ZmFra a 1, ZmWIPF2, and ZmAux/IAA8, which localized to the cell membrane, cytoplasm, and nucleus, respectively, both in vitro and in vivo in a yeast two-hybrid screen in response to abiotic stress. Notably, ZmCCT recruits ZmWIPF2 to the nucleus, which has strong E3 self-ubiquitination activity dependent on its RING-H2 finger domain in vitro. When treated with higher indole-3-acetic acid/abscisic acid ratios, the height and root length of Y331-ΔTE maize plants increased. Y331-ΔTE plants exhibited increased responses to exogenously applied auxin or ABA compared to Y331 plants, indicating that ZmCCT may be a negative regulator of ABA signalling in maize. In vivo, ZmCCT promoted indole-3-acetic acid biosynthesis in ZmCCT-overexpressing Arabidopsis. RNA-sequencing and DNA affinity purification-sequencing analyses showed that ZmCCT can regulate the expression of ZmRD17, ZmAFP3, ZmPP2C, and ZmARR16 under drought. Our findings provide a detailed overview of the molecular mechanism controlling ZmCCT functions and highlight that ZmCCT has multiple roles in promoting abiotic stress tolerance.
Collapse
Affiliation(s)
- Zhaoheng Zhang
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Jiayue Qu
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Min Lu
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Xinyu Zhao
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Yang Xu
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Li Wang
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Zhongjia Liu
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Yingying Shi
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Chaotian Liu
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Yipu Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Agronomy and Biotechnology, National Maize Improvement Center, Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, China
- Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Chao Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Agronomy and Biotechnology, National Maize Improvement Center, Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, China
| | - Mingliang Xu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Agronomy and Biotechnology, National Maize Improvement Center, Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, China
| | - Zhangjie Nan
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Qingqin Cao
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Jinbao Pan
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Wende Liu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xinrui Li
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Qingpeng Sun
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Weixiang Wang
- Beijing Key Laboratory of New Technology in Agricultural Application, National Demonstration Center for Experimental Plant Production Education, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China
| |
Collapse
|
30
|
Shi Y, Zhou L, Zheng G, Jing Y, Zhang X, Yuan J, Zhang Q, Li H, Huang S, Xie T, Xiong Q. Therapeutic mechanism exploration of polysaccharides from Dendrobium officinale on unilateral ureteral obstruction operation-induced renal fibrosis based on improving oxidative stress injury mediated by AhR/NOX4 pathway. Int J Biol Macromol 2023; 253:126920. [PMID: 37717864 DOI: 10.1016/j.ijbiomac.2023.126920] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 09/10/2023] [Accepted: 09/13/2023] [Indexed: 09/19/2023]
Abstract
Dendrobium officinale polysaccharides (DOP) has been reported to possess remarkable effects on improving renal function, oxidative stress damage and fibrotic diseases. However, the role and mechanism of DOP in preventing and treating renal fibrosis remain unclear. The purpose of this paper was to explore the therapeutic effects and underlying mechanisms of DOP on renal fibrosis. Firstly, renal fibrosis model was induced by unilateral ureteral obstruction operation (UUO) in male BALB/c mice. Subsequently, the anti-renal fibrosis effect of DOP was evaluated. It turned out that DOP significantly attenuated UUO induced renal fibrosis. The beneficial effects of DOP on renal fibrosis were concretely manifested in the relief of clinical symptoms, improvement of renal function, reduction of extracellular matrix collagen aggregation, attenuation of structural damage and inflammation, and decrement of profibrotic factors secretion. Meanwhile, DOP could also alleviate oxidative stress injury and inhibit the AhR/NOX4 pathway proteins expression. Furthermore, multivariate statistical analysis, AhR interference and overexpression experiments showed that the effect of DOP on alleviating renal fibrosis was closely related to the improvement of oxidative stress injury mediated by the AhR/NOX4 pathway. Overall, the data in the present paper indicated that DOP could alleviate renal fibrosis through improving AhR/NOX4 mediated oxidative stress injury.
Collapse
Affiliation(s)
- Yingying Shi
- Jiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, PR China
| | - Li Zhou
- Department of Nephrology, Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu 223002, PR China
| | - Guangzhen Zheng
- Jiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, PR China
| | - Yi Jing
- Jiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, PR China
| | - Xu Zhang
- Jiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, PR China
| | - Jun Yuan
- Jiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, PR China
| | - Qianghua Zhang
- Jiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, PR China
| | - Hailun Li
- Department of Nephrology, Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu 223002, PR China.
| | - Song Huang
- School of Pharmaceutical Science, and Guangdong Provincial Key Laboratory of New Drug Development and Research of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, PR China.
| | - Tian Xie
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, PR China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, PR China.
| | - Qingping Xiong
- Jiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, PR China.
| |
Collapse
|
31
|
Huang H, Gao H, Shi Y, Deng B, He X, Lin J, Li P. Can AMH levels predict the need to step up FSH dose for controlled ovarian stimulation following a long GnRH agonist protocol in PCOS women? Reprod Biol Endocrinol 2023; 21:121. [PMID: 38110998 PMCID: PMC10726541 DOI: 10.1186/s12958-023-01173-8] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 12/10/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND To explore the role of anti-Mullerian hormone (AMH) in predicting the need to step up recombinant FSH (rFSH) dose following long GnRH agonist protocol in IVF/ICSI cycles of polycystic ovarian syndrome (PCOS) women. METHODS This is a retrospective cohort study of 825 PCOS women undergoing long GnRH agonist protocol enrolled from Jan 2019 to Dec 2021. The daily rFSH dose at which the first response to rFSH were recorded. The dose at which the first response to rFSH was based on folliculometry during follow up in which two or more follicles reached ≥ 11 mm. A receiver operating characteristic (ROC) curve analysis was done to investigate the ability of AMH to predict the need to step up initial rFSH dose. RESULTS PCOS women who needed to step up initial rFSH dose had a significantly higher AMH compared with those didn't step up initial rFSH dose (11.37 ± 3.25ng/ml vs. 8.69 ± 3.16ng/ml, p < 0.001). In multivariate logistic regression analysis, increased AMH level was an independent factor for the need to step up initial rFSH dose in PCOS patients after adjusted for confounding factors. ROC curve analysis showed AMH could predict the need to step up initial rFSH dose (AUC = 0.738, 95%CI: 0.704-0.773), having 75.4% specificity and 63% sensitivity when the threshold AMH concentration was 9.30ng/ml. 58.8% PCOS women with AMH > 9.30 ng/ml required increased rFSH dose compared to 18.8% of women with AMH ≤ 9.30ng/ml (p < 0.001). Although the clinical pregnancy rate and live birth rate were not significantly different, there was a higher incidence of OHSS among women with AMH > 9.30 ng/ml vs. AMH ≤ 9.30ng/ml (20.8% vs. 15.3%, p = 0.043). CONCLUSION PCOS women with AMH > 9.30 ng/ml were resistant to rFSH stimulation and require increased dose for the cycle recruitment of ovarian follicles.
Collapse
Affiliation(s)
- Hui Huang
- Department of Reproductive medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Zhenhai Road 10, Xiamen, 361000, Fujian, China
- Xiamen Key Laboratory of Reproduction and Genetics, Xiamen, Fujian, China
| | - Haijie Gao
- Department of Reproductive medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Zhenhai Road 10, Xiamen, 361000, Fujian, China
- Xiamen Key Laboratory of Reproduction and Genetics, Xiamen, Fujian, China
| | - Yingying Shi
- Department of Reproductive medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Zhenhai Road 10, Xiamen, 361000, Fujian, China
- Xiamen Key Laboratory of Reproduction and Genetics, Xiamen, Fujian, China
| | - Bingbing Deng
- Department of Reproductive medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Zhenhai Road 10, Xiamen, 361000, Fujian, China
- Xiamen Key Laboratory of Reproduction and Genetics, Xiamen, Fujian, China
| | - Xuemei He
- Department of Reproductive medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Zhenhai Road 10, Xiamen, 361000, Fujian, China
- Xiamen Key Laboratory of Reproduction and Genetics, Xiamen, Fujian, China
| | - Jin Lin
- Department of Reproductive medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Zhenhai Road 10, Xiamen, 361000, Fujian, China
- Xiamen Key Laboratory of Reproduction and Genetics, Xiamen, Fujian, China
| | - Ping Li
- Department of Reproductive medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Zhenhai Road 10, Xiamen, 361000, Fujian, China.
- Xiamen Key Laboratory of Reproduction and Genetics, Xiamen, Fujian, China.
| |
Collapse
|
32
|
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
| |
Collapse
|
33
|
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.
Collapse
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
| |
Collapse
|
34
|
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.
Collapse
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
| | - R Sharma
- 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
| | | | - D Shen
- Shandong University, Qingdao, Shandong 266237
| | - D Y Shen
- Fudan University, Shanghai, 200433
| | - K Shen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S S Shi
- 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
| | - Y Söhngen
- University of Heidelberg, Heidelberg 69120, Germany
| | - Y Song
- 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
| |
Collapse
|
35
|
Dai S, Shi Y, Zhang Y, Ye C, Deng Z, Jiang S, Dong C. Influencing factors of two-way social support for the old adults in China: A cross-sectional study. Geriatr Nurs 2023; 54:192-198. [PMID: 37801874 DOI: 10.1016/j.gerinurse.2023.09.007] [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: 07/03/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 10/08/2023]
Abstract
This study aims to investigate the status and influencing factors of two-way social support among old adults. A cross-sectional study of 408 convenient samples of old adults was conducted using socio-demographic questionnaire, Brief 2-Way Social Support Scale, Modified Barthel index, General Well-being Schedule, Family APGAR Index, and Lubben Social Network Scale 6. The two-way social support score for old adults in China was (43.74±7.86), with the receiving and giving social support scoring (22.80±4.06) and (20.94±4.52), respectively. The multiple linear regression analysis revealed that family care, residence place, socioeconomic status, and social network were associated with both receiving and giving social support. Chronic diseases and religious beliefs were related to receiving social support, while gender, general well-being, and residence form were related to giving social support. Tailored interventions based on the distinct influencing factors are needed to enhance old adults' social support both as recipients and providers.
Collapse
Affiliation(s)
- Shimeng Dai
- School of Nursing, Wenzhou Medical University, University Town, Chashan, Wenzhou, Zhejiang 325035, China
| | - Yingying Shi
- School of Nursing, Wenzhou Medical University, University Town, Chashan, Wenzhou, Zhejiang 325035, China
| | - Yiyun Zhang
- School of Nursing, Wenzhou Medical University, University Town, Chashan, Wenzhou, Zhejiang 325035, China
| | - Can Ye
- School of Nursing, Wenzhou Medical University, University Town, Chashan, Wenzhou, Zhejiang 325035, China
| | - Zhaoyao Deng
- School of Nursing, Wenzhou Medical University, University Town, Chashan, Wenzhou, Zhejiang 325035, China
| | - Sisi Jiang
- School of Nursing, Wenzhou Medical University, University Town, Chashan, Wenzhou, Zhejiang 325035, China.
| | - Chaoqun Dong
- School of Nursing, Wenzhou Medical University, University Town, Chashan, Wenzhou, Zhejiang 325035, China.
| |
Collapse
|
36
|
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.
Collapse
Affiliation(s)
- R-Y Zhang
- Department of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Heping District, Tianjin, China.
| | | | | | | | | | | | | | | |
Collapse
|
37
|
Shi Y, Liu Y, Wu Y, Hu S, Sun B. Molecular epidemiology and recombination of enterovirus D68 in China. Infect Genet Evol 2023; 115:105512. [PMID: 37827347 DOI: 10.1016/j.meegid.2023.105512] [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] [Received: 08/10/2023] [Revised: 10/05/2023] [Accepted: 10/09/2023] [Indexed: 10/14/2023]
Abstract
Enterovirus D68 (EV-D68), a member of Enterovirus genus of the Picornaviridae family, mainly causes respiratory system-related diseases as well as neurological complications in some patients. At present, there is no effective vaccine or treatment for the virus. The aim of this research was to systematically analyse the molecular epidemiology, recombination and changes in the epitope of EV-D68 in China from 2008 to 2022. Through phylogenetic analysis based on VP1 sequences, it was found that there was limited information about EV-D68 infection before 2011 and that EV-D68 infection was dominated by the A2 gene subtype from 2011 to 2013 and the B3 genotype from 2014 to 2018, during which A2 and B3 were coprevalent and alternately prevalent. We also constructed a phylogenetic tree using the EV-D68 full-length genome sequences, and the genotype of each sequence was consistent with that of the VP1 sequence evolutionary tree. Recombination analysis showed that MH341715 underwent intertypic recombination with the A2 genotype MH341729 at the 5' untranslated region (5'UTR) and that P1-P3 underwent recombination with the B3 genotype MH341712. The capsid protein VP1 is one of the most important structural proteins. In VP1, the BC-loop (89-105 amino acids) and DE-loop (140-152 amino acids) are the most variable domains on the surface of the virus and are associated with epitopes. In this study, it was found that the dominant amino acid composition of the BC-loop and DE-loop continued to change with the epidemic of the virus; the amino acid composition also differed in different regions of the same genotypes. The ongoing genomic and molecular epidemiology of EV-D68 remains important for predicting emergence of new viruses and preventing major outbreaks of respiratory diseases.
Collapse
Affiliation(s)
- Yingying Shi
- Department of Immunology, School of Medicine, Jianghan University, Wuhan, Hubei 430056, China
| | - Yongjuan Liu
- Department of Central Laboratory, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222002, China
| | - Yanli Wu
- Department of Immunology, School of Medicine, Jianghan University, Wuhan, Hubei 430056, China
| | - Song Hu
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan, China
| | - Binlian Sun
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan, China.
| |
Collapse
|
38
|
Shi Y, Long G, Wang F, Xie Y, Bai M. Innovative co-treatment technology for effective disposal of electrolytic manganese residue. Environ Pollut 2023; 335:122234. [PMID: 37482335 DOI: 10.1016/j.envpol.2023.122234] [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: 06/23/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 07/25/2023]
Abstract
Electrolytic manganese residue (EMR) stockpiles contain significant amounts of Mn2+ and NH4+-N which pose a risk of environmental pollution. For EMR safe disposal, an innovative approach is proposed that involves direct sodium silicate-sodium hydroxide (Na2SiO3-NaOH) collaborative technology. This approach utilises Na2SiO3 and NaOH as the solidifying agent and activator, respectively, to treat EMR without hazardous effects. The study also provides insights into the kinetics of Mn2+ leaching under the effect of Na2SiO3-NaOH. Leaching efficiency was determined by varying parameters such as stirring rate, reaction temperature, pH of the initial solution, Na2SiO3 concentration, and reaction time to investigate the efficacy of this method. The study indicates that the co-treatment technology of Na2SiO3-NaOH can achieve maximum solidification efficiencies of 99.7% and 98.2% for Mn2+ and NH4+-N, respectively. The process can successfully solidify Mn2+ by synthesising Mn(OH)2 and MnSiO3 in an alkaline environment under optimal conditions including stirring rate of 450 rpm, initial solution pH of 8, test temperature of 40 °C, test time of 420 min, and Na2SiO3 content of 5%. The findings of this study have confirmed that surface chemistry plays a vital role in regulating the test rate and the proposed equation accurately describes Mn2+ leaching kinetics. Overall, the co-treatment technology involving Na2SiO3-NaOH is a viable solution for EMR resource utilisation without compromising environmental safety. This method has the potential to be implemented for other waste streams with comparable compositions, ultimately promoting the sustainable management of waste.
Collapse
Affiliation(s)
- Yingying Shi
- School of Civil Engineering, Central South University, 68 South Shaoshan Road, Changsha, Hunan, 410075, China
| | - Guangcheng Long
- School of Civil Engineering, Central South University, 68 South Shaoshan Road, Changsha, Hunan, 410075, China.
| | - Fan Wang
- School of Civil Engineering, Central South University, 68 South Shaoshan Road, Changsha, Hunan, 410075, China
| | - Youjun Xie
- School of Civil Engineering, Central South University, 68 South Shaoshan Road, Changsha, Hunan, 410075, China
| | - Min Bai
- School of Civil Engineering, Central South University, 68 South Shaoshan Road, Changsha, Hunan, 410075, China
| |
Collapse
|
39
|
Shi Y, Ran Q, Wang X, Shi L. Seroprevalence of Enterovirus D68 Infection among Humans: A Systematic Review and Meta-Analysis. Intervirology 2023; 66:111-121. [PMID: 37793363 PMCID: PMC10614446 DOI: 10.1159/000531853] [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: 03/12/2022] [Accepted: 06/26/2023] [Indexed: 10/06/2023] Open
Abstract
INTRODUCTION Human enterovirus D68 (EV-D68), which belongs to enteroviruses of the small RNA family, is a type of enterovirus that can cause acute respiratory tract infection and central nervous system diseases. This study systematically analysed and summarized EV-D68 antibody studies in databases and identified the seropositivity rates of different regions, ages, and sexes. METHODS Meta-analysis was performed using STATA 16.0 software. I2 and Q tests were used to analyse the heterogeneity of the included studies. Meta-regression analysis was performed for different groups, and Egger's linear regression analysis was used to evaluate publication bias. RESULTS The results of multiple studies indicated that the serological prevalence range of EV-D68 antibody was 17.78-96.69%. The results of the meta-analysis showed that the seropositivity rate of EV-D68 antibody was 76% (95% confidence interval [CI]: 67-84%), among which that of the Chinese population was 74% (95% CI: 61-86%) and that of other countries was 79% (95% CI: 65-91%). At the same time, a subgroup analysis was conducted. The seroprevalence of EV-D68 antibody was related to age but not sex or region. CONCLUSION The seropositivity rate was lower in the below 5-year age group; however, it gradually increased with age. The results of this study showed that EV-D68 infection was widespread in the population, and the current clinical infection situation could not reflect the actual epidemic situation of the virus, among which children under 5 years old were vulnerable to infection, which should be given greater attention for epidemic prevention and control.
Collapse
Affiliation(s)
- Yingying Shi
- Department of Immunology, School of Medicine, Jianghan University, Wuhan, China
| | - Qinqin Ran
- Department of Nursing, School of Medicine, Jianghan University, Wuhan, China
| | - Xiaochen Wang
- Department of Immunology, School of Medicine, Jianghan University, Wuhan, China
| | - Lu Shi
- Department of Pharmacy, School of Medicine, Jianghan University, Wuhan, China
| |
Collapse
|
40
|
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.
| |
Collapse
|
41
|
Liu J, Shen M, Laiginhas R, Herrera G, Li J, Shi Y, Hiya F, Trivizki O, Waheed NK, Chung CY, Moult EM, Fujimoto JG, Gregori G, Rosenfeld PJ. Onset and Progression of Persistent Choroidal Hypertransmission Defects in Intermediate Age-Related Macular Degeneration: A Novel Clinical Trial Endpoint. Am J Ophthalmol 2023; 254:11-22. [PMID: 36958537 PMCID: PMC10514236 DOI: 10.1016/j.ajo.2023.03.012] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/05/2023] [Accepted: 03/14/2023] [Indexed: 03/25/2023]
Abstract
PURPOSE The appearance and growth of persistent choroidal hypertransmission defects (hyperTDs) detected on en face swept-source optical coherence tomography (SS-OCT) images from eyes with intermediate age-related macular degeneration (iAMD) were studied to determine if they could serve as novel clinical trial endpoints. DESIGN Post hoc subgroup analysis of a prospective study. METHODS Subjects with iAMD underwent 6 × 6 mm SS-OCT angiography imaging at their baseline and follow-up visits. The drusen volumes were obtained using a validated SS-OCT algorithm. Two graders independently evaluated all en face structural images for the presence of persistent hyperTDs. The number and area of all hyperTDs along with drusen volume were obtained from all SS-OCT angiography scans. Eyes were censored from further follow-up once exudative AMD developed. RESULTS A total of 171 eyes from 121 patients with iAMD were included. Sixty-eight eyes developed at least 1 hyperTD. Within 1 year after developing a hyperTD, 25% of eyes developed new hyperTDs for an average of 0.44 additional hyperTDs. Over 2 years, as hyperTDs appeared, enlarged, and merged, the average area growth rate was 0.220 mm/yr using the square-root transformation strategy. A clinical trial design using the onset and enlargement of these hyperTDs for the study of disease progression in eyes with iAMD is proposed. CONCLUSIONS The appearance and growth of persistent choroidal hyperTDs in eyes with iAMD can be easily detected and measured using en face OCT imaging and can serve as novel clinical trial endpoints for the study of therapies that may slow disease progression from iAMD to late AMD.
Collapse
Affiliation(s)
- Jeremy Liu
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Mengxi Shen
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Rita Laiginhas
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Gissel Herrera
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Jianqing Li
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Yingying Shi
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Farhan Hiya
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Omer Trivizki
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Nadia K Waheed
- New England Eye Center, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts (N.K.W.), USA
| | - Carol Y Chung
- Carol Chung Statistics Consulting, Inc, Pacifica, California (C.Y.C.), USA
| | - Eric M Moult
- Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts (E.M.M., J.G.F.), USA
| | - James G Fujimoto
- Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts (E.M.M., J.G.F.), USA
| | - Giovanni Gregori
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA
| | - Philip J Rosenfeld
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida (J. Liu, M.S., R.L., G.H., J. Li, Y.S., F.H., O.T., G.G., P.J.R.), USA.
| |
Collapse
|
42
|
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.
Collapse
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
| |
Collapse
|
43
|
Hu J, Li W, Peng Z, Chen Z, Shi Y, Zheng Y, Liang Q, Wu Y, Liu W, Shen W, Dai Q, Zhu L, Bao C, Zhu F, Chen F. Annual incidence and fatality rates of notifiable infectious diseases in southeast China from 1950 to 2022 and relationship to socioeconomic development. J Glob Health 2023; 13:04107. [PMID: 37681663 PMCID: PMC10486175 DOI: 10.7189/jogh.13.04107] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023] Open
Abstract
Background Over the past 70 years, China has advanced significantly in the prevention and treatment of infectious diseases while simultaneously undergoing a socioeconomic transformation, making it a useful source of data for analysing relationships between public health policy and the control of infectious diseases. Methods We collected data on the incidence of notifiable infectious diseases and associated fatalities in Jiangsu province in southeast China from the Provincial Center for Disease Control and Prevention, Provincial Institute of Parasitic Diseases, and the Nationwide Notifiable Infectious Diseases Reporting Information System. We compared data from different historical periods using descriptive statistical methods, joinpoint regression, and correlation analysis. Results During 1950-2022, 75 754 008 cases of 46 notifiable infectious diseases were reported in Jiangsu, with an average annual incidence was 1679.49 per 100 000 population and a fatality rate of 1.82 per 1000 persons. The incidence of classes A-B decreased (average annual percent change (AAPC) = -2.1) during the entire study period, while the incidence of class C increased (AAPC = 10.8) after 2004. The incidence of intestinal diseases (AAPC = -4.4) and vector-borne and zoonotic diseases (AAPC = -8.1) decreased rapidly, while the incidence of sexually transmitted and blood-borne diseases (AAPC = 1.8) increased. The number of medical and health institutions and the per capita gross domestic product correlated negatively with the annual incidence of diseases in classes A-B, but not with fatality rates. Conclusions Although the annual incidence of many severe infectious diseases has decreased in Jiangsu since 1950, the incidence of sexually transmitted and blood-borne diseases increased. Socioeconomic growth and sustainable investment in health systems are associated with better control of infectious diseases.
Collapse
Affiliation(s)
- Jianli Hu
- School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
- National Health Commission Key Laboratory of Enteric Pathogenic Microbiology, Nanjing, China
| | - Wei Li
- General office, Jiangsu Institute of Parasitic Diseases, WuXi, China
| | - Zhihang Peng
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ziying Chen
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yingying Shi
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yanze Zheng
- Department of Acute infectious Diseases Control and Prevention, Lianyungang Municipal Center for Disease Control and Prevention, Lianyungang, China
| | - Qi Liang
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Ying Wu
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Wendong Liu
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Wenqi Shen
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qigang Dai
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
- Jiangsu Province Engineering Research Center of Health Emergency, Nanjing, China
| | - Liguo Zhu
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
- Jiangsu Province Engineering Research Center of Health Emergency, Nanjing, China
| | - Changjun Bao
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
- Jiangsu Province Engineering Research Center of Health Emergency, Nanjing, China
| | - Fengcai Zhu
- School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
- National Health Commission Key Laboratory of Enteric Pathogenic Microbiology, Nanjing, China
| | - Feng Chen
- School of Public Health, Nanjing Medical University, Nanjing, China
- China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| |
Collapse
|
44
|
Guo X, Zhang J, Liu X, Lu Y, Shi Y, Li X, Wang S, Huang J, Liu H, Zhou H, Li Q, Luo L, You J. Antioxidant nanoemulsion loaded with latanoprost enables highly effective glaucoma treatment. J Control Release 2023; 361:534-546. [PMID: 37567509 DOI: 10.1016/j.jconrel.2023.08.004] [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: 03/10/2023] [Revised: 07/25/2023] [Accepted: 08/05/2023] [Indexed: 08/13/2023]
Abstract
Glaucoma is the third leading cause of blindness worldwide and is primarily characterized by elevated intraocular pressure (IOP). Common risk factors such as age, myopia, ocular trauma, and hypertension all increase the risk of elevated IOP. Prolonged high IOP not only causes physiological discomfort like headaches, but also directly damages retinal cells and leads to retinal ischemia, oxidative imbalance, and accumulation of reactive oxygen species (ROS) in the retina. This oxidative stress causes the oxidation of proteins and unsaturated lipids, leading to peroxide formation and exacerbating retinal damage. While current clinical treatments primarily target reducing IOP through medication or surgery, there are currently no effective methods to mitigate the retinal cell damage associated with glaucoma. To address this gap, we developed a novel nanoemulsion to co-delivery latanoprost and α-tocopherol (referred to as LA@VNE later) that prolongs ocular retention and enhances retinal permeability through localized administration. By encapsulating latanoprost, an IOP-lowering drug, and α-tocopherol, a potent antioxidant, we effectively reduced ROS accumulation (>1.5-fold in vitro and 2.5-fold in vivo), retinal ganglion cell (RGC) apoptosis (>9 fold), and inflammatory cell infiltration (>1.6 fold). Our approach showed strong biocompatibility and significant potential for clinical translation, providing a promising platform for the treatment of glaucoma.
Collapse
Affiliation(s)
- Xuemeng Guo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Junlei Zhang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Xu Liu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Yichao Lu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Yingying Shi
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Xiang Li
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Sije Wang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Jiaxin Huang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Huihui Liu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Huanli Zhou
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China
| | - Qingpo Li
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China.
| | - Lihua Luo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China.
| | - Jian You
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, PR China; Zhejiang-California International Nanosystems Institute, Zhejiang University, Hangzhou 310058, PR China; Hangzhou Institute of Innovative Medicine, Zhejiang University, Hangzhou, 310058 Zhejiang, PR China.
| |
Collapse
|
45
|
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.
| |
Collapse
|
46
|
Fang K, Shi Y, zhao Z, Zhao Y, Guo Y, Abudunaibi B, Qu H, Liu Q, Kang G, Wang Z, Hu J, Chen T. Trends in disease burden of hepatitis B infection in Jiangsu Province, China, 1990-2021. Infect Dis Model 2023; 8:832-841. [PMID: 37520113 PMCID: PMC10371820 DOI: 10.1016/j.idm.2023.07.007] [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: 04/06/2023] [Revised: 07/03/2023] [Accepted: 07/09/2023] [Indexed: 08/01/2023] Open
Abstract
Background The incidence of hepatitis B virus (HBV) has decreased year by year in China after the expansion of vaccination, but there is still a high disease burden in Jiangsu Province of China. Methods The year-by-year incidence data of HBV in Jiangsu Province from 1990 to 2021 were collected. The incidence rates of males and females age groups were clustered by systematic clustering, and the incidence rates of each age group were analyzed and studied by using Joinpoint regression model and age-period-cohort effect model (APC). Results Joinpoint regression model and APC model showed a general decrease in HBV prevalence in both males and females. In addition, the results of the APC model showed that the age, period, and cohort effects of patients all affected the incidence of HBV, and the incidence was higher in males than in females. The incidence is highest in the population between the ages of 15 and 30 years (mean: 21.76/100,000), especially in males (mean: 31.53/100,000) than in females (mean:11.67/100,000). Another high-risk group is those over 60 years of age (mean: 21.40/100,000), especially males (mean: 31.17/100,000) than females (mean: 11.63/100,000). The period effect of the APC model suggests that HBV vaccination is effective in reducing the incidence of HBV in the population. Conclusions The incidence of HBV in Jiangsu Province showed a gradual downward trend, but the disease burden in males was higher than that in females. The incidence is higher and increasing rapidly in the population between the ages of 15 and 30 years and people over 60 years of age. More targeted prevention and control measures should be implemented for males and the elderly.
Collapse
Affiliation(s)
- Kang Fang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| | - Yingying Shi
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, People's Republic of China
| | - Zeyu zhao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| | - Yunkang Zhao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| | - Yichao Guo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| | - Buasivamu Abudunaibi
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| | - Huimin Qu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| | - Qiao Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| | - Guodong Kang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, People's Republic of China
| | - Zhiguo Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, People's Republic of China
| | - Jianli Hu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, People's Republic of China
| | - Tianmu Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, People's Republic of China
| |
Collapse
|
47
|
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.
Collapse
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.
| |
Collapse
|
48
|
Shen M, Li J, Shi Y, Zhang Q, Liu Z, Zhou H, Lu J, Cheng Y, Chu Z, Zhou X, Liu J, Jiang X, Wang L, Laiginhas R, de Sisternes L, Vanner EA, Feuer WJ, Wang RK, Gregori G, Rosenfeld PJ. Decreased Central Macular Choriocapillaris Perfusion Correlates With Increased Low Luminance Visual Acuity Deficits. Am J Ophthalmol 2023; 253:1-11. [PMID: 37142175 PMCID: PMC10626399 DOI: 10.1016/j.ajo.2023.04.011] [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: 10/12/2022] [Revised: 03/13/2023] [Accepted: 04/24/2023] [Indexed: 05/06/2023]
Abstract
PURPOSE Correlations between low luminance visual acuity deficits (LLVADs) and central choriocapillaris perfusion deficits were investigated to help explain how increases in LLVAD scores at baseline predict annual growth rates of geographic atrophy (GA). DESIGN Prospective cross-sectional study. METHODS Photopic luminance best-corrected visual acuity (PL-BCVA) and low luminance BCVA (LL-BCVA) were measured using the Early Treatment Diabetic Retinopathy Study chart. LL-BCVA was measured using a 2.0-log unit neutral density filter. LLVADs were calculated as the difference between PL-BCVA and LL-BCVA. Within a fovea-centered 1-mm circle, the percentage of choriocapillaris flow deficits (CC FD%), drusen volume, optical attenuation coefficient (OAC) elevation volume, and outer retinal layer (ORL) thickness were assessed. RESULTS In all 90 eyes (30 normal eyes; 31 drusen-only eyes; 29 non-foveal GA eyes), significant correlations were found between the central CC FD% and PL-BCVA (r = -0.393, P < .001), LL-BCVA (r = -0.534, P < .001), and the LLVAD (r = 0.439, P < .001). Central cube root (cubrt) drusen volume, cubrt OAC elevation volume, and ORL thickness were correlated with PL-BCVA, LL-BCVA, and LLVADs (all P < .05). Stepwise regression models showed that central cubrt OAC elevation volume and ORL thickness were associated with PL-BCVA (R2 = 0.24, P < .05); central CC FD%, cubrt OAC elevation volume, and ORL thickness were associated with LL-BCVA (R2 = 0.44, P < .01); and central CC FD% and ORL thickness were associated with LLVAD (R2 = 0.24, P < .01). CONCLUSIONS The significant correlations between central CC FD% and LLVAD support the hypothesis that the ability of LLVAD to predict the growth of GA is mediated through a decrease in macular choriocapillaris perfusion.
Collapse
Affiliation(s)
- Mengxi Shen
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Jianqing Li
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Yingying Shi
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Qinqin Zhang
- Research and Development (Q.Z., L.D.), Carl Zeiss Meditec, Inc., Dublin, California, USA
| | - Ziyu Liu
- Department of Bioengineering (Z. L., H.Z., J.L., Y.C., Z.C., X.Z., R.K.W.), University of Washington, Seattle, Washington, USA
| | - Hao Zhou
- Department of Bioengineering (Z. L., H.Z., J.L., Y.C., Z.C., X.Z., R.K.W.), University of Washington, Seattle, Washington, USA
| | - Jie Lu
- Department of Bioengineering (Z. L., H.Z., J.L., Y.C., Z.C., X.Z., R.K.W.), University of Washington, Seattle, Washington, USA
| | - Yuxuan Cheng
- Department of Bioengineering (Z. L., H.Z., J.L., Y.C., Z.C., X.Z., R.K.W.), University of Washington, Seattle, Washington, USA
| | - Zhongdi Chu
- Department of Bioengineering (Z. L., H.Z., J.L., Y.C., Z.C., X.Z., R.K.W.), University of Washington, Seattle, Washington, USA
| | - Xiao Zhou
- Department of Bioengineering (Z. L., H.Z., J.L., Y.C., Z.C., X.Z., R.K.W.), University of Washington, Seattle, Washington, USA
| | - Jeremy Liu
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Xiaoshuang Jiang
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Liang Wang
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Rita Laiginhas
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Luis de Sisternes
- Research and Development (Q.Z., L.D.), Carl Zeiss Meditec, Inc., Dublin, California, USA
| | - Elizabeth A Vanner
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - William J Feuer
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Ruikang K Wang
- Department of Bioengineering (Z. L., H.Z., J.L., Y.C., Z.C., X.Z., R.K.W.), University of Washington, Seattle, Washington, USA; Department of Ophthalmology (R.K.W.), University of Washington, Seattle, Washington, USA
| | - Giovanni Gregori
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Philip J Rosenfeld
- Department of Ophthalmology (M.S., J.L., Y.S., J.L., X.J., L.W., R.L., E.A.V., W.J.F., G.G., P.J.R.), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
| |
Collapse
|
49
|
Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Edmonds T, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Guryn W, Hamad AI, Hamed A, Harabasz S, Harris JW, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kinghorn TA, Kisel I, Kiselev A, Kocan M, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Lukow NS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mooney I, Moravcova Z, Morozov DA, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sheikh AI, Shen WQ, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu YF, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Erratum: Global Polarization of Ξ and Ω Hyperons in Au+Au Collisions at sqrt[s_{NN}]=200 GeV [Phys. Rev. Lett. 126, 162301 (2021)]. Phys Rev Lett 2023; 131:089901. [PMID: 37683178 DOI: 10.1103/physrevlett.131.089901] [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] [Received: 07/28/2023] [Indexed: 09/10/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.126.162301.
Collapse
|
50
|
Li HL, Fang J, Wu CX, Gao LF, Tan YT, Gu K, Shi Y, Xiang YB. [Pre- and post-diagnosis body mass index in association with colorectal cancer death in a prospective cohort study]. Zhonghua Zhong Liu Za Zhi 2023; 45:657-665. [PMID: 37580270 DOI: 10.3760/cma.j.cn112152-20220824-00576] [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: 08/16/2023]
Abstract
Objective: To evaluate the association between pre-and post-diagnosis body mass index (BMI) and risk of colorectal cancer (CRC) death. Methods: The cohort consisted of 3, 057 CRC patients from Shanghai who were diagnosed from Jan. 1, 2009 to Dec. 31, 2011 and aged from 20 to 74 years. The pre- and post-diagnosis BMI and clinical and lifestyle factors were collected at baseline. Death information was collected using record linkage with the Shanghai Cancer Registry and telephone confirmation during follow-up by the end of 2019. The Cox proportional regression model was used to estimate HR with 95% CI. Results: Analysis by multivariable Cox model showed no association between pre-diagnosis BMI and death risk in both male and female patients. Male patients with a post-diagnosis underweight BMI had an elevated risk of death compared to those in normal weight (HR=1.69, 95% CI: 1.21-2.37), especially in early stage cases. Overweight patients (HR=0.74, 95% CI: 0.61-0.89) and patients with obesity class Ⅰ (HR=0.63, 95% CI: 0.45-0.89)had better survival with decreased risks of death, especially in advanced stage cases. The decreased death risk in patients with obesity class Ⅱ was not significant (HR=0.57, 95% CI: 0.24-1.39). The P(trend) value for decreased risk of death with increased BMI in female patients was statistically significant (P<0.001), and the overweight and obesity class Ⅰ categories had better survival in advanced stage(HR(overweight)=0.62, 95% CI: 0.42-0.93; HR(obesity class Ⅰ)=0.39, 95% CI: 0.16-0.98). Both male and female patients with post-diagnosis BMI loss >2.0 kg/m(2) had an increased death risk when compared with those with stable BMI (change≤1.0 kg/m(2)) between pre- and post-diagnosis. BMI gain after diagnosis did not change death risk. Conclusions: Post-diagnosis BMI in the overweight or obesity class Ⅰ groups might be conducive to prolonging male CRC patients' survival, while underweight might result in poor prognosis. Keeping weight and avoiding excessive weight loss should be suggested for all CRC patients after diagnosis.
Collapse
Affiliation(s)
- H L Li
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - J Fang
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - C X Wu
- Department of Cancer Control and Prevention, Division of Noncommunicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - L F Gao
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Y T Tan
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - K Gu
- Department of Cancer Control and Prevention, Division of Noncommunicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y Shi
- Division of Noncommunicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y B Xiang
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| |
Collapse
|