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Zhou Z, Yan Y, Gu H, Sun R, Liao Z, Xue K, Tang C. Dopamine in the prefrontal cortex plays multiple roles in the executive function of patients with Parkinson's disease. Neural Regen Res 2024; 19:1759-1767. [PMID: 38103242 PMCID: PMC10960281 DOI: 10.4103/1673-5374.389631] [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: 04/11/2023] [Revised: 08/05/2023] [Accepted: 10/10/2023] [Indexed: 12/18/2023] Open
Abstract
Parkinson's disease can affect not only motor functions but also cognitive abilities, leading to cognitive impairment. One common issue in Parkinson's disease with cognitive dysfunction is the difficulty in executive functioning. Executive functions help us plan, organize, and control our actions based on our goals. The brain area responsible for executive functions is called the prefrontal cortex. It acts as the command center for the brain, especially when it comes to regulating executive functions. The role of the prefrontal cortex in cognitive processes is influenced by a chemical messenger called dopamine. However, little is known about how dopamine affects the cognitive functions of patients with Parkinson's disease. In this article, the authors review the latest research on this topic. They start by looking at how the dopaminergic system, is altered in Parkinson's disease with executive dysfunction. Then, they explore how these changes in dopamine impact the synaptic structure, electrical activity, and connection components of the prefrontal cortex. The authors also summarize the relationship between Parkinson's disease and dopamine-related cognitive issues. This information may offer valuable insights and directions for further research and improvement in the clinical treatment of cognitive impairment in Parkinson's disease.
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Affiliation(s)
- Zihang Zhou
- Department of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Yalong Yan
- Department of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Heng Gu
- Department of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Ruiao Sun
- Department of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Zihan Liao
- Department of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Ke Xue
- Department of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Chuanxi Tang
- Department of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
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Long F, Wei X, Chen Y, Li M, Lian N, Yu S, Chen S, Yang Y, Li M, Gu H, Chen X. Gasdermin E promotes translocation of p65 and c-jun into nucleus in keratinocytes for progression of psoriatic skin inflammation. Cell Death Dis 2024; 15:180. [PMID: 38429278 PMCID: PMC10907691 DOI: 10.1038/s41419-024-06545-5] [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: 11/22/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/03/2024]
Abstract
Gasdermin E (GSDME) has recently been identified as a critical executioner to mediate pyroptosis. While epidermal keratinocytes can initiate GSDME-mediated pyroptosis, the role of keratinocyte GSDME in psoriatic dermatitis remains poorly characterized. Through analysis of GEO datasets, we found elevated GSDME levels in psoriatic lesional skin. Additionally, GSDME levels correlated with both psoriasis severity and response to biologics treatments. Single-cell RNA sequencing (scRNA-seq) from a GEO dataset revealed GSDME upregulation in keratinocytes of psoriasis patients. In the imiquimod (IMQ)-induced psoriasis-like dermatitis mouse model, both full-length and cleaved forms of caspase-3 and GSDME were elevated in the epidermis. Abnormal proliferation and differentiation of keratinocytes and dermatitis were attenuated in Gsdme-/- mice and keratinocyte-specific Gsdme conditional knockout mice after IMQ stimulation. Exposure of keratinocytes to mixed cytokines (M5), mimicking psoriatic conditions, led to GSDME cleavage. Moreover, the interaction between GSDME-FL and p65 or c-jun was significantly increased after M5 stimulation. GSDME knockdown inhibited nuclear translocation of p65 and c-jun and decreased upregulation of psoriatic inflammatory mediators such as IL1β, CCL20, CXCL1, CXCL8, S100A8, and S100A9 in M5-challenged keratinocytes. In conclusion, GSDME in keratinocytes contributes to the pathogenesis and progression of psoriasis, potentially in a pyroptosis-independent manner by interacting and promoting translocation of p65 and c-jun. These findings suggest that keratinocyte GSDME could serve as a potential therapeutic target for psoriasis treatment.
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Affiliation(s)
- Fangyuan Long
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Xuecui Wei
- School of Public Health, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Yujie Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Min Li
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Ni Lian
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Shanshan Yu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Sihan Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Yong Yang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Min Li
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China
| | - Heng Gu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China.
| | - Xu Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, 210042, Nanjing, Jiangsu, China.
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Wang Y, Qian L, Yang D, Gong Y, Yuan C, Hu Y, Gu H, Sun P, Wang S. Integration of hydrothermal liquefaction of Cyanophyta and supercritical water oxidation of its aqueous phase products: Biocrude production and nutrient removal. Sci Total Environ 2024; 914:169835. [PMID: 38190896 DOI: 10.1016/j.scitotenv.2023.169835] [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: 10/03/2023] [Revised: 12/23/2023] [Accepted: 12/30/2023] [Indexed: 01/10/2024]
Abstract
Cyanophyta has the potential to produce biocrude via hydrothermal liquefaction (HTL). However, aqueous phase products (APs), as by-products of HTL, pose a risk of eutrophication for the high levels of carbon, nitrogen, and phosphorus. Supercritical water oxidation (SCWO) can efficiently convert organics into small molecules, offering a technique for the harmless treatment of APs. Effects of holding time, pressure, and moisture content on the biocrude yields from isothermal HTL (300 °C) and fast HTL (salt bath temperature of 500 °C) were comprehensively investigated. Biocrude properties were characterized by elemental analysis, FT-IR and GC-MS. Subsequently, the APs obtained under the conditions producing the highest biocrude yield were subjected to SCWO at 550 °C with different oxidation coefficients (n) from 0 to 2. Removal rates of chemical oxygen demand (COD), ammonia nitrogen (NH3-N), and total phosphorus (TP) were further explored. The results show that the highest biocrude yields from isothermal HTL and fast HTL were 24.2 wt% (300 °C, 1800 s, 25 MPa, and 80 wt% moisture content) and 21.9 wt% (500 °C, 40 s, 25 MPa, and 80 wt% moisture content), respectively. The biocrude primarily consisted of N-containing heterocyclic compounds, amides, and acids. SCWO effectively degraded the COD and TP in APs, while the NH3-N required further degradation. At n = 2, the highest removal rates of COD, NH3-N and TP were 98.5 %, 22.6 % and 89.1 %, respectively.
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Affiliation(s)
- Yanxin Wang
- School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Lili Qian
- School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
| | - Derui Yang
- School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Yanmeng Gong
- Jiangsu Provincial Academy of Environmental Science, Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing, Jiangsu 210036, China
| | - Chuan Yuan
- School of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Yamin Hu
- School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Heng Gu
- School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Panpan Sun
- College of Mechanical & Electrical Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi 710021, China
| | - Shuang Wang
- School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
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Wang X, Fan X, Zhang J, Wang F, Chen J, Wen Y, Wang L, Li T, Li H, Gu H, Zhang Y, Yuan S. hnRNPA2B1 represses the disassembly of arsenite-induced stress granules and is essential for male fertility. Cell Rep 2024; 43:113769. [PMID: 38363675 DOI: 10.1016/j.celrep.2024.113769] [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: 08/21/2023] [Revised: 12/19/2023] [Accepted: 01/25/2024] [Indexed: 02/18/2024] Open
Abstract
Although the composition and assembly of stress granules (SGs) are well understood, the molecular mechanisms underlying SG disassembly remain unclear. Here, we identify that heterogeneous nuclear ribonucleoprotein A2/B1 (hnRNPA2B1) is associated with SGs and that its absence specifically enhances the disassembly of arsenite-induced SGs depending on the ubiquitination-proteasome system but not the autophagy pathway. hnRNPA2B1 interacts with many core SG proteins, including G3BP1, G3BP2, USP10, and Caprin-1; USP10 can deubiquitinate G3BP1; and hnRNPA2B1 depletion attenuates the G3BP1-USP10/Caprin-1 interaction but elevates the G3BP1 ubiquitination level under arsenite treatment. Moreover, the disease-causing mutation FUSR521C also disassembles faster from SGs in HNRNPA2B1 mutant cells. Furthermore, knockout of hnRNPA2B1 in mice leads to Sertoli cell-only syndrome (SCOS), causing complete male infertility. Consistent with this, arsenite-induced SGs disassemble faster in Hnrnpa2b1 knockout (KO) mouse Sertoli cells as well. These findings reveal the essential roles of hnRNPA2B1 in regulating SG disassembly and male mouse fertility.
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Affiliation(s)
- Xiaoli Wang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Xu Fan
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jin Zhang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Fengli Wang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jingshou Chen
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yujiao Wen
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lingjuan Wang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tao Li
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huaibiao Li
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Heng Gu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou 510600, China
| | - Youzhi Zhang
- School of Pharmacy, Hubei University of Science and Technology, Xianning 437100, China
| | - Shuiqiao Yuan
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Laboratory of the Animal Center, Huazhong University of Science and Technology, Wuhan 430030, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518057, China.
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Chen L, Hu Y, Zhang M, Liu L, Ma J, Xu Z, Zhang J, Gu H, Chen K. METTL14 affects UVB-induced human dermal fibroblasts photoaging via miR-100-3p biogenesis in an m 6 A-dependent manner. Aging Cell 2024:e14123. [PMID: 38380598 DOI: 10.1111/acel.14123] [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: 08/13/2023] [Revised: 01/18/2024] [Accepted: 02/04/2024] [Indexed: 02/22/2024] Open
Abstract
Exposure to ultraviolet radiation can lead to skin photoaging, which increases the risk of skin tumors. This study aims to investigate how microRNA m6 A modification contributes to skin photoaging. This study found that skin fibroblasts exposed to a single UVB dose of 30 mJ/cm2 exhibited characteristics of photoaging. The m6 A level of total RNA decreased in photoaged cells with a down-regulated level of METTL14, and overexpression of METTL14 displayed a photoprotective function. Moreover, miR-100-3p was a downstream target of METTL14. And METTL14 could affect pri-miR-100 processing to mature miR-100-3p in an m6 A-dependent manner via DGCR8. Furthermore, miR-100-3p targeted at 3' end untranslated region of ERRFI1 mRNA with an inhibitory effect on translation. Additionally, photoprotective effects of overexpression of METTL14 were reversed by miR-100-3p inhibitor or overexpression of ERRFI1. In UVB-induced photoaging of human skin fibroblasts, METTL14-dependent m6 A can regulate miR-100-3p maturation via DGCR8 and affect skin fibroblasts photoaging through miR-100-3p/ERRFI1 axis.
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Affiliation(s)
- Lihao Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Yu Hu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Min Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Lihao Liu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Jing Ma
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Zhuohong Xu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Jiaan Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Heng Gu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Kun Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
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Gu H, Hu Y, Guo S, Jin Y, Chen W, Huang C, Hu Z, Li F, Liu J. China's prevention and control experience of echinococcosis: A 19-year retrospective. J Helminthol 2024; 98:e16. [PMID: 38305033 DOI: 10.1017/s0022149x24000014] [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] [Indexed: 02/03/2024]
Abstract
Echinococcosis poses a significant threat to public health. The Chinese government has implemented prevention and control measures to mitigate the impact of the disease. By analyzing data from the Chinese Center for Disease Control and Prevention and the State Council of the People's Republic of China, we found that implementation of these measures has reduced the infection rate by nearly 50% between 2004 to 2022 (from 0.3975 to 0.1944 per 100,000 person-years). Nonetheless, some regions still bear a significant disease burden, and lack of detailed information limites further evaluation of the effects on both alveolar and cystic echinococcosis. Our analysis supports the continuing implementation of these measures and suggests that enhanced wildlife management, case-based strategies, and surveillance systems will facilitate disease control.
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Affiliation(s)
- H Gu
- Laboratory of Infectious Diseases and Vaccines, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - Y Hu
- Department of Biliary Surgery, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - S Guo
- Laboratory of Infectious Diseases and Vaccines, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - Y Jin
- Department of Biliary Surgery, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - W Chen
- Laboratory of Infectious Diseases and Vaccines, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - C Huang
- Laboratory of Infectious Diseases and Vaccines, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - Z Hu
- Laboratory of Infectious Diseases and Vaccines, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - F Li
- Department of Biliary Surgery, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
| | - J Liu
- Laboratory of Infectious Diseases and Vaccines, West China School of Medicine, West China Hospital of Sichuan University, Chengdu610041, PR China
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Liu L, Zhou J, Chen C, Qu Y, Wang J, Lu F, Liu Y, Cai J, Ji S, Li Y, Gu H, Zhao F, Lyu Y, Shi X. Vitamin B 12 is associated negatively with anemia in older Chinese adults with a low dietary diversity level: evidence from the Healthy Ageing and Biomarkers Cohort Study (HABCS). BMC Geriatr 2024; 24:18. [PMID: 38178043 PMCID: PMC10768404 DOI: 10.1186/s12877-023-04586-7] [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: 09/10/2022] [Accepted: 12/11/2023] [Indexed: 01/06/2024] Open
Abstract
OBJECTIVE The associations between plasma vitamin B12 level and anemia under different dietary patterns in elderly Chinese people are poorly understood. We aimed to examine the associations between plasma vitamin B12 levels and anemia under different dietary patterns in adults aged 65 years and older in nine longevity areas in China. METHODS A total of 2405 older adults completed a food frequency questionnaire at the same time as a face-to-face interview. The dietary diversity score (DDS) was assessed based on the food frequency questionnaire, with the low DDS group referring to participants with a DDS score ≤ 4 points. Vitamin B12 levels were divided into two groups of high (>295 pg/mL) and low (≤ 295 pg/mL) with the median used as the cut-off point. Sub-analyses were also performed on older adults divided into tertiles of vitamin B12 levels: low (< 277 pg/mL), medium (277-375 pg/mL) and high (> 375 pg/mL) to study the association of these levels with anemia. RESULTS Six hundred ninety-five (28.89%) of these people were diagnosed with anemia and had a mean age of 89.3 years. Higher vitamin B12 levels were associated with a decreased risk of anemia (multi-adjusted OR, 0.59, [95% CI, 0.45 ~ 0.77] P < 0.001) in older adults with a low DDS, whereas no significant association between vitamin B12 levels and anemia was found in older adults with a high DDS in a full-model after adjustment for various confounding factors (multi-adjusted OR, 0.88, [95% CI, 0.65 ~ 1.19], P = 0.41). CONCLUSION The relationship between vitamin B12 levels and the prevalence of anemia was significant only when the level of dietary diversity in the older adults was relatively low. The dietary structure of the population should be taken into consideration in combination in order to effectively improve anemia status by supplementing vitamin B12.
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Affiliation(s)
- Ling Liu
- Hospital of Beijing Forestry University, Beijing, 100083, China
| | - Jinhui Zhou
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Chen Chen
- Beijing Municipal Health Commission Information Center, Beijing Municipal Health Commission Policy Research Center, Beijing, 100034, China
| | - Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Jun Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Feng Lu
- Beijing Municipal Health Commission Information Center, Beijing Municipal Health Commission Policy Research Center, Beijing, 100034, China
| | - Yingchun Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Yuebin Lyu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China.
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Gao M, Liu X, Gu H, Xu H, Zhong W, Wei X, Zhong X. Association between single nucleotide polymorphisms, TGF-β1 promoter methylation, and polycystic ovary syndrome. BMC Pregnancy Childbirth 2024; 24:5. [PMID: 38166771 PMCID: PMC10759533 DOI: 10.1186/s12884-023-06210-3] [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: 05/26/2023] [Accepted: 12/17/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Polycystic ovarian syndrome (PCOS) is a common endocrine and metabolic disease in women. Hyperandrogenaemia (HA) and insulin resistance (IR) are the basic pathophysiological characteristics of PCOS. The aetiology of PCOS has not been fully identified and is generally believed to be related to the combined effects of genetic, metabolic, internal, and external factors. Current studies have not screened for PCOS susceptibility genes in a large population. Here, we aimed to study the effect of TGF-β1 methylation on the clinical PCOS phenotype. METHODS In this study, three generations of family members with PCOS with IR as the main characteristic were selected as research subjects. Through whole exome sequencing and bioinformatic analysis, TGF-β1 was screened as the PCOS susceptibility gene in this family. The epigenetic DNA methylation level of TGF-β1 in peripheral blood was detected by heavy sulfite sequencing in patients with PCOS clinically characterised by IR, and the correlation between the DNA methylation level of the TGF-β1 gene and IR was analysed. We explored whether the degree of methylation of this gene affects IR and whether it participates in the occurrence and development of PCOS. RESULTS The results of this study suggest that the hypomethylation of the CpG4 and CpG7 sites in the TGF-β1 gene promoter may be involved in the pathogenesis of PCOS IR by affecting the expression of the TGF-β1 gene. CONCLUSIONS This study provides new insights into the aetiology and pathogenesis of PCOS.
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Affiliation(s)
- Mengge Gao
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510630, China
- Department of Clinical Nutrition, Huadu District People's Hospital, 48 Xinhua Road, Huadu, Guangzhou, Guangdong, 510800, China
| | - Xiaohua Liu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Heng Gu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Hang Xu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510630, China
| | - Wenyao Zhong
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Xiangcai Wei
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510630, China.
- Guangdong Women and Children Hospital, Guangzhou, China.
| | - Xingming Zhong
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China.
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, 510630, China.
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Xu Z, Tang S, Liu C, Zhang Q, Gu H, Li X, Di Z, Li Z. Temporal segmentation of EEG based on functional connectivity network structure. Sci Rep 2023; 13:22566. [PMID: 38114604 PMCID: PMC10730570 DOI: 10.1038/s41598-023-49891-8] [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] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023] Open
Abstract
In the study of brain functional connectivity networks, it is assumed that a network is built from a data window in which activity is stationary. However, brain activity is non-stationary over sufficiently large time periods. Addressing the analysis electroencephalograph (EEG) data, we propose a data segmentation method based on functional connectivity network structure. The goal of segmentation is to ensure that within a window of analysis, there is similar network structure. We designed an intuitive and flexible graph distance measure to quantify the difference in network structure between two analysis windows. This measure is modular: a variety of node importance indices can be plugged into it. We use a reference window versus sliding window comparison approach to detect changes, as indicated by outliers in the distribution of graph distance values. Performance of our segmentation method was tested in simulated EEG data and real EEG data from a drone piloting experiment (using correlation or phase-locking value as the functional connectivity strength metric). We compared our method under various node importance measures and against matrix-based dissimilarity metrics that use singular value decomposition on the connectivity matrix. The results show the graph distance approach worked better than matrix-based approaches; graph distance based on partial node centrality was most sensitive to network structural changes, especially when connectivity matrix values change little. The proposed method provides EEG data segmentation tailored for detecting changes in terms of functional connectivity networks. Our study provides a new perspective on EEG segmentation, one that is based on functional connectivity network structure differences.
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Affiliation(s)
- Zhongming Xu
- The International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, 519087, China
- The Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, 519087, China
- The School of Systems Science, Beijing Normal University, Beijing, 100875, China
| | - Shaohua Tang
- The Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, 519087, China
- The School of Systems Science, Beijing Normal University, Beijing, 100875, China
| | - Chuancai Liu
- The State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Qiankun Zhang
- The State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Heng Gu
- The State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Xiaoli Li
- The State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Zengru Di
- The International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, 519087, China
| | - Zheng Li
- The Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, 519087, China.
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10
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Wang S, Gu H, Yao Q, Yang C, Li X, Ouyang G. Task-independent auditory probes reveal changes in mental workload during simulated quadrotor UAV training. Health Inf Sci Syst 2023; 11:12. [PMID: 36910421 PMCID: PMC9992679 DOI: 10.1007/s13755-023-00213-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/22/2023] [Indexed: 03/09/2023] Open
Abstract
Objective The event-related potential (ERP) methods based on laboratory control scenes have been widely used to measure the level of mental workload during operational tasks. In this study, both task difficulty and test time were considered. Auditory probes (ignored task-irrelevant background sounds) were used to explore the changes in mental workload of unmanned aerial vehicle (UAV) operators during task execution and their ERP representations. Approach 51 students participated in a 10-day training and test of simulated quadrotor UAV. During the experiment, background sound was played to induce ERP according to the requirements of oddball paradigm, and the relationship between mental workload and the amplitudes of N200 and P300 in ERP was explored. Main results Our study shows that the mental workload during operational task training is multi-dimensional, and its changes are affected by bottom-up perception and top-down cognition. The N200 component of the ERP evoked by the auditory probe corresponds to the bottom-up perceptual part; while the P300 component corresponds to the top-down cognitive part, which is positively correlated with the improvement of skill level. Significance This paper describes the relationship between ERP induced by auditory probes and mental workload from the perspective of multi-resource theory and human information processing. This suggests that the auditory probe can be used to reveal the mental workload during the training of operational tasks, which not only provides a possible reference for measuring the mental workload, but also provides a possibility for identifying the development of the operator's skill level and evaluating the training effect.
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Affiliation(s)
- Shaodi Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 People’s Republic of China
| | - Heng Gu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 People’s Republic of China
| | - Qunli Yao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 People’s Republic of China
| | - Chao Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 People’s Republic of China
| | - Xiaoli Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 People’s Republic of China
| | - Gaoxiang Ouyang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 People’s Republic of China
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11
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Yao G, Wu F, Lucas M, Zheng L, Wang C, Gu H. Effect of longitudinal-bending elliptical ultrasonic vibration assistance on electrosurgical cutting and hemostasis. Ultrasonics 2023; 135:107113. [PMID: 37517346 DOI: 10.1016/j.ultras.2023.107113] [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: 12/08/2022] [Revised: 06/24/2023] [Accepted: 07/18/2023] [Indexed: 08/01/2023]
Abstract
Electrosurgical devices are widely used for tissue cutting and hemostasis in minimally invasive surgery (MIS) for their high precision and low trauma. However, tissue adhesion and the resulting thermal injury can cause infection and impede the wound-healing process. This paper proposes a longitudinal-bending elliptical ultrasonic vibration-assisted (EUV-A) electrosurgical cutting system that incorporates an ultrasonic vibration in the direction of the cut by introducing an elliptical motion of the surgical tip. Compared with a solely longitudinal ultrasonic vibration-assisted (UV-A) electrosurgical device, the EUV-A electrode contacts the tissue intermittently, thus allowing for a cooler cut and preventing tissue accumulation. The experimental results reveal that the EUV-A electrode demonstrates better performance than the UV-A electrode for both anti-adhesion and thermal injury through in vitro experiments in porcine samples. The tissue removal mechanism of EUV-A electrosurgical cutting is modeled to investigate its anti-adhesion effect. In addition, lower adhesion, lower temperature, and faster cutting are demonstrated through in vivo experiments in rabbit samples. Results show that the EUV-A electrode causes lower thermal injury, indicative of faster postoperative healing. Finally, efficacy of the hemostatic effect of the EUV-A electrode is demonstrated in vivo for vessels up to 3.5 mm (equivalent to that of electrocautery). The study reveals that the EUV-A electrosurgical cutting system can achieve safe tissue incision and hemostasis.
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Affiliation(s)
- Guang Yao
- Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology, Guangdong University of Technology, Guangzhou 510006, China
| | - Fei Wu
- Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology, Guangdong University of Technology, Guangzhou 510006, China
| | - Margaret Lucas
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
| | - Lijuan Zheng
- Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology, Guangdong University of Technology, Guangzhou 510006, China
| | - Chengyong Wang
- Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology, Guangdong University of Technology, Guangzhou 510006, China.
| | - Heng Gu
- Guangdong Institute of Medical Instruments, Guangzhou 510500, China
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12
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Wang XL, Guan HD, Qu SX, Xue BW, Li G, Liu XY, Chen LS, Gu H. [Liver targeting of compound liposomes mediated by glycyrrhetinic acid derivative receptor and its effect on hepatic stellate cells]. Zhongguo Zhong Yao Za Zhi 2023; 48:5195-5204. [PMID: 38114109 DOI: 10.19540/j.cnki.cjcmm.20230605.301] [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] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
The 3-succinate-30-stearyl glycyrrhetinic acid(18-GA-Suc) was inserted into glycyrrhetinic acid(GA)-tanshinone Ⅱ_A(TSN)-salvianolic acid B(Sal B) liposome(GTS-lip) to prepare liver targeting compound liposome(Suc-GTS-lip) mediated by GA receptors. Next, pharmacokinetics and tissue distribution of Suc-GTS-lip and GTS-lip were compared by UPLC, and in vivo imaging tracking of Suc-GTS-lip was conducted. The authors investigated the effect of Suc-GTS-lip on the proliferation inhibition of hepatic stellate cells(HSC) and explored their molecular mechanism of improving liver fibrosis. Pharmacokinetic results showed that the AUC_(Sal B) decreased from(636.06±27.73) μg·h·mL~(-1) to(550.39±12.34) μg·h·mL~(-1), and the AUC_(TSN) decreased from(1.08±0.72) μg·h·mL~(-1) to(0.65±0.04) μg·h·mL~(-1), but the AUC_(GA) increased from(43.64±3.10) μg·h·mL~(-1) to(96.21±3.75) μg·h·mL~(-1). The results of tissue distribution showed that the AUC_(Sal B) and C_(max) of Sal B in the liver of the Suc-GTS-lip group were 10.21 and 4.44 times those of the GTS-lip group, respectively. The liver targeting efficiency of Sal B, TSN, and GA in the Suc-GTS-lip group was 40.66%, 3.06%, and 22.08%, respectively. In vivo imaging studies showed that the modified liposomes tended to accumulate in the liver. MTT results showed that Suc-GTS-lip could significantly inhibit the proliferation of HSC, and RT-PCR results showed that the expression of MMP-1 was significantly increased in all groups, but that of TIMP-1 and TIMP-2 was significantly decreased. The mRNA expressions of collagen-I and collagen-Ⅲ were significantly decreased in all groups. The experimental results showed that Suc-GTS-lip had liver targeting, and it could inhibit the proliferation of HSC and induce their apoptosis, which provided the experimental basis for the targeted treatment of liver fibrosis by Suc-GTS-lip.
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Affiliation(s)
- Xiu-Li Wang
- Beijing University of Chinese Medicine Beijing 102488, China
| | - Hui-da Guan
- Beijing University of Chinese Medicine Beijing 102488, China
| | - Shu-Xian Qu
- Beijing University of Chinese Medicine Beijing 102488, China
| | - Bo-Wen Xue
- Southwest University Chongqing 400715, China
| | - Geng Li
- Chinese Medicine Regulatory Scientific Research Center of NMPA,China Academy of Chinese Medical Sciences Beijing 100700, China
| | - Xing-Yu Liu
- Technical Center Beijing Workstation, Shanghai Tobacco Group Co., Ltd. Beijing 101121, China
| | - Li-Sha Chen
- Technical Center Beijing Workstation, Shanghai Tobacco Group Co., Ltd. Beijing 101121, China
| | - Heng Gu
- Kunming Hospital of Traditional Chinese Medicine Kunming 650011, China
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Gu H, Fu Y, Yu B, Luo L, Kang D, Xie M, Jing Y, Chen Q, Zhang X, Lai J, Guan F, Forsman H, Shi J, Yang L, Lei J, Du X, Zhang X, Liu C. Ultra-high static magnetic fields cause immunosuppression through disrupting B-cell peripheral differentiation and negatively regulating BCR signaling. MedComm (Beijing) 2023; 4:e379. [PMID: 37789963 PMCID: PMC10542999 DOI: 10.1002/mco2.379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/16/2023] [Accepted: 08/24/2023] [Indexed: 10/05/2023] Open
Abstract
To increase the imaging resolution and detection capability, the field strength of static magnetic fields (SMFs) in magnetic resonance imaging (MRI) has significantly increased in the past few decades. However, research on the side effects of high magnetic field is still very inadequate and the effects of SMF above 1 T (Tesla) on B cells have never been reported. Here, we show that 33.0 T ultra-high SMF exposure causes immunosuppression and disrupts B cell differentiation and signaling. 33.0 T SMF treatment resulted in disturbance of B cell peripheral differentiation and antibody secretion and reduced the expression of IgM on B cell membrane, and these might be intensity dependent. In addition, mice exposed to 33.0 T SMF showed inhibition on early activation of B cells, including B cell spreading, B cell receptor clustering and signalosome recruitment, and depression of both positive and negative molecules in the proximal BCR signaling, as well as impaired actin reorganization. Sequencing and gene enrichment analysis showed that SMF stimulation also affects splenic B cells' transcriptome and metabolic pathways. Therefore, in the clinical application of MRI, we should consider the influence of SMF on the immune system and choose the optimal intensity for treatment.
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Affiliation(s)
- Heng Gu
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Yufan Fu
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Biao Yu
- High Magnetic Field LaboratoryHefei Institutes of Physical ScienceChinese Academy of SciencesHefeiAnhuiChina
| | - Li Luo
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Danqing Kang
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Miaomiao Xie
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Yukai Jing
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Qiuyue Chen
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Xin Zhang
- GeneMind Biosciences Company LimitedShenzhenChina
| | - Juan Lai
- GeneMind Biosciences Company LimitedShenzhenChina
| | - Fei Guan
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Huamei Forsman
- Department of Rheumatology and Inflammation ResearchInstitute of MedicineSahlgrenska AcademyUniversity of GothenburgGoteborgSweden
| | - Junming Shi
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Lu Yang
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Jiahui Lei
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
| | - Xingrong Du
- Shanghai Key Laboratory of Metabolic Remodeling and HealthInstitute of Metabolism and Integrative BiologyFudan UniversityShanghaiChina
| | - Xin Zhang
- High Magnetic Field LaboratoryHefei Institutes of Physical ScienceChinese Academy of SciencesHefeiAnhuiChina
- Institutes of Physical Science and Information TechnologyAnhui UniversityHefeiAnhuiChina
| | - Chaohong Liu
- Department of Pathogen BiologySchool of Basic MedicineTongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonostic Infectious DiseaseHuazhong University of Science and TechnologyWuhanChina
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14
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Yao Q, Gu H, Wang S, Liang G, Zhao X, Li X. Exploring EEG characteristics of multi-level mental stress based on human-machine system. J Neural Eng 2023; 20:056023. [PMID: 37729925 DOI: 10.1088/1741-2552/acfbba] [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: 06/07/2023] [Accepted: 09/20/2023] [Indexed: 09/22/2023]
Abstract
Objective.The understanding of cognitive states is important for the development of human-machine systems (HMSs), and one of the fundamental but challenging issues is the understanding and assessment of the operator's mental stress state in real task scenarios.Approach.In this paper, a virtual unmanned vehicle (UAV) driving task with multi-challenge-level was created to explore the operator's mental stress, and the human brain activity during the task was tracked in real time via electroencephalography (EEG). A mental stress analysis dataset for the virtual UAV task was then developed and used to explore the neural activation patterns associated with mental stress activity. Finally, a multiple attention-based convolutional neural network (MACN) was constructed for automatic stress assessment using the extracted stress-sensitive neural activation features.Main Results.The statistical results of EEG power spectral density (PSD) showed that frontal theta-PSD decreased with increasing task difficulty, and central beta-PSD increased with increasing task difficulty, indicating that neural patterns showed different trends under different levels of mental stress. The performance of the proposed MACN was evaluated based on the dimensional model, and results showed that average three-class classification accuracies of 89.49%/89.88% were respectively achieved for arousal/valence.Significance.The results of this paper suggest that objective assessment of mental stress in a HMS based on a virtual UAV scenario is feasible, and the proposed method provides a promising solution for cognitive computing and applications in human-machine tasks.
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Affiliation(s)
- Qunli Yao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Heng Gu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Shaodi Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Guanhao Liang
- Center for Cognition and Neuroergonomics, Beijing Normal University, Zhuhai 519087, People's Republic of China
| | - Xiaochuan Zhao
- Institute of Computer Applied Technology of China North Industries Group Corporation Limited, Beijing 100821, People's Republic of China
| | - Xiaoli Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
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Lian N, Chen Y, Chen S, Zhang Y, Chen H, Yang Y, Gu H, Chen Q, Li M, Chen X. Gasdermin D-mediated keratinocyte pyroptosis as a key step in psoriasis pathogenesis. Cell Death Dis 2023; 14:595. [PMID: 37673869 PMCID: PMC10482869 DOI: 10.1038/s41419-023-06094-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 08/08/2023] [Accepted: 08/21/2023] [Indexed: 09/08/2023]
Abstract
Gasdermin D (GSDMD)-mediated pyroptosis has a significant pro-inflammation characteristic due to dramatic secretion of pro-inflammatory substances. However, its role remains unclear in psoriasis as one chronic inflammatory skin disorder with high prevalence. We found that N-terminal GSDMD (N-GSDMD) was aberrantly expressed in epidermis of skin lesion in psoriasis patients and imiquimod-induced psoriasis-like dermatitis (IIPLD) mice. In epidermis of IIPLD mice and M5 (simulating psoriatic inflammatory challenge)-treated keratinocytes cultured in vitro, cleavage products of caspase-1, GSDMD and IL-1β were increased. M5-stimulated keratinocyte presented typical pyroptosis morphology accompanied with PI-staining. Gsdmd-/- keratinocytes could not present pyroptosis morphology while stimulated with M5. Electroporation of recombinant N-GSDMD could make the pyroptosis morphology reappear. In Gsdmd-/- mice or keratinocyte-specific Gsdmd conditional knockout mice, we observed the alleviation of psoriatic inflammation and epidermal aberrant expression of Ki-67 and differentiation markers (loricrin and keratin 5) after imiquimod stimulation. Transplanting skin tissue from control mice to Gsdmd-/- mice can evoke the response to imiquimod stimulation in the background of Gsdmd-/- mice (not limited in transplanting area). In M5-stimulated keratinocytes, disulfiram or GSDMD siRNA transfection can inhibit pyroptosis and eliminate disproportionate increases of Ki-67 and PI. We further validated that topically application of disulfiram (pyroptosis inhibitor) also alleviated IIPLD in mice. These findings indicate a novel mechanism that GSDMD-mediated keratinocyte pyroptosis facilitates hyperproliferation and aberrant differentiation induced by immune microenvironment in psoriatic skin inflammation, which contributes to pathogenesis of psoriasis. Our study provides an innovative insight that targeting pyroptosis can be considered as a therapeutic strategy against psoriasis.
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Affiliation(s)
- Ni Lian
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Yujie Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Sihan Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Ying Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Hao Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Yong Yang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Heng Gu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China
| | - Qing Chen
- School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
- Department of Transfusion Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, Jiangsu, China.
| | - Min Li
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China.
- School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
| | - Xu Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China.
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China.
- School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
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16
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Tao Y, Lin L, Ren X, Wang X, Cao X, Gu H, Ye Y, Ren Y, Zhang Z. Four-Dimensional Micro/Nanorobots via Laser Photochemical Synthesis towards the Molecular Scale. Micromachines (Basel) 2023; 14:1656. [PMID: 37763819 PMCID: PMC10537291 DOI: 10.3390/mi14091656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/11/2023] [Accepted: 08/19/2023] [Indexed: 09/29/2023]
Abstract
Miniaturized four-dimensional (4D) micro/nanorobots denote a forerunning technique associated with interdisciplinary applications, such as in embeddable labs-on-chip, metamaterials, tissue engineering, cell manipulation, and tiny robotics. With emerging smart interactive materials, static micro/nanoscale architectures have upgraded to the fourth dimension, evincing time-dependent shape/property mutation. Molecular-level 4D robotics promises complex sensing, self-adaption, transformation, and responsiveness to stimuli for highly valued functionalities. To precisely control 4D behaviors, current-laser-induced photochemical additive manufacturing, such as digital light projection, stereolithography, and two-photon polymerization, is pursuing high-freeform shape-reconfigurable capacities and high-resolution spatiotemporal programming strategies, which challenge multi-field sciences while offering new opportunities. Herein, this review summarizes the recent development of micro/nano 4D laser photochemical manufacturing, incorporating active materials and shape-programming strategies to provide an envisioning of these miniaturized 4D micro/nanorobots. A comparison with other chemical/physical fabricated micro/nanorobots further explains the advantages and potential usage of laser-synthesized micro/nanorobots.
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Affiliation(s)
- Yufeng Tao
- Institute of Micro-Nano Optoelectronics and Terahertz Technology, Jiangsu University, Zhenjiang 212013, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
- Postdoctoral Workstation, Zhejiang Chuangge Technology Co., Ltd., Zhuji 311899, China
| | - Liansheng Lin
- Institute of Micro-Nano Optoelectronics and Terahertz Technology, Jiangsu University, Zhenjiang 212013, China
| | - Xudong Ren
- Institute of Micro-Nano Optoelectronics and Terahertz Technology, Jiangsu University, Zhenjiang 212013, China
| | - Xuejiao Wang
- Institute of Micro-Nano Optoelectronics and Terahertz Technology, Jiangsu University, Zhenjiang 212013, China
| | - Xia Cao
- School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
| | - Heng Gu
- Institute of Micro-Nano Optoelectronics and Terahertz Technology, Jiangsu University, Zhenjiang 212013, China
| | - Yunxia Ye
- Institute of Micro-Nano Optoelectronics and Terahertz Technology, Jiangsu University, Zhenjiang 212013, China
| | - Yunpeng Ren
- Institute of Micro-Nano Optoelectronics and Terahertz Technology, Jiangsu University, Zhenjiang 212013, China
| | - Zhiming Zhang
- Postdoctoral Workstation, Zhejiang Chuangge Technology Co., Ltd., Zhuji 311899, China
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Guan F, Luo X, Liu J, Huang Y, Liu Q, Chang J, Fang G, Kang D, Gu H, Luo L, Yang L, Lin Z, Gao X, Liu C, Lei J. GSDMA3 deficiency reprograms cellular metabolism and modulates BCR signaling in murine B cells. iScience 2023; 26:107341. [PMID: 37539041 PMCID: PMC10393796 DOI: 10.1016/j.isci.2023.107341] [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: 04/04/2023] [Revised: 06/15/2023] [Accepted: 07/06/2023] [Indexed: 08/05/2023] Open
Abstract
Metabolism plays a crucial role in B cell differentiation and function. GSDMA3 is related to mitochondrial metabolism and is involved in immune responses. Here, we used Gsdma3 KO mice to examine the effect of GSDMA3 on B cells. The results demonstrated that GSDMA3 deficiency reprogrammed B cell metabolism, evidenced by upregulating PI3K-Akt-mTOR signaling, along with elevated ROS reproduction and reduced maximal oxygen consumption rate in mitochondria. Moreover, the BCR signaling in the KO B cells was impaired. The reduced BCR signaling was associated with decreased BCR clustering, caused by inhibited activation of WASP. However, GSDMA3 deficiency had no effects on B cell development and functions in humoral immunity, which might be associated with the compensation of upregulated GSDMA2 expression and the fine balance between PI3K signaling and BCR signals interaction. Our observations reveal a previously unknown influence of GSDMA3 on B cells under physiological and immunized states.
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Affiliation(s)
- Fei Guan
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xi Luo
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ju Liu
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yanmei Huang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qi Liu
- Department of Immunology, School of Medicine, Yangtze University, Jingzhou 434023, China
| | - Jiang Chang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guofeng Fang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Danqing Kang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Heng Gu
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Luo
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lu Yang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhaoyu Lin
- Model Animal Research Center, Ministry of Education Key Laboratory of Model Animal for Disease Research, School of Medicine, Nanjing University, Nanjing 210061, China
| | - Xiang Gao
- Model Animal Research Center, Ministry of Education Key Laboratory of Model Animal for Disease Research, School of Medicine, Nanjing University, Nanjing 210061, China
| | - Chaohong Liu
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jiahui Lei
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Gao M, Liu X, Du M, Gu H, Xu H, Zhong X. Identification of immune cell infiltration and effective biomarkers of polycystic ovary syndrome by bioinformatics analysis. BMC Pregnancy Childbirth 2023; 23:377. [PMID: 37226082 DOI: 10.1186/s12884-023-05693-4] [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: 12/18/2022] [Accepted: 05/09/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Patients with polycystic ovary syndrome (PCOS) exhibit a chronic inflammatory state, which is often accompanied by immune, endocrine, and metabolic disorders. Clarification of the pathogenesis of PCOS and exploration of specific biomarkers from the perspective of immunology by evaluating the local infiltration of immune cells in the follicular microenvironment may provide critical insights into disease pathogenesis. METHODS In this study, we evaluated immune cell subsets and gene expression in patients with PCOS using data from the Gene Expression Omnibus database and single-sample gene set enrichment analysis. RESULTS In total, 325 differentially expressed genes were identified, among which TMEM54 and PLCG2 (area under the curve = 0.922) were identified as PCOS biomarkers. Immune cell infiltration analysis showed that central memory CD4+ T cells, central memory CD8+ T cells, effector memory CD4+ T cells, γδ T cells, and type 17 T helper cells may affect the occurrence of PCOS. In addition, PLCG2 was highly correlated with γδ T cells and central memory CD4+ T cells. CONCLUSIONS Overall, TMEM54 and PLCG2 were identified as potential PCOS biomarkers by bioinformatics analysis. These findings established a basis for further exploration of the immunological mechanisms of PCOS and the identification of therapeutic targets.
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Affiliation(s)
- Mengge Gao
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, 510600, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong Province, China
- Department of Clinical Nutrition, Huadu District People's Hospital, Southern Medical University, 48 Xinhua Road, Huadu, Guangzhou, 510800, Guangdong, China
| | - Xiaohua Liu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, 510600, China
| | - Mengxuan Du
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, 510600, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong Province, China
| | - Heng Gu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, 510600, China
| | - Hang Xu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, 510600, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong Province, China
| | - Xingming Zhong
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, 510600, China.
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong Province, China.
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19
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Wang L, Wang H, Yan L, Yu M, Yang J, Li J, Li J, Ning Y, Jiang H, Shi Y, Zhang W, Xiong L, Liu J, Kuang Y, Wang H, He J, Wang D, Li B, Liu Y, Shui T, Wang Y, Chen H, Sha X, Long H, Yu X, Shen C, Shen J, Yang X, Gu H, Zhang G, Wang B. Single-Dose Rifapentine in Household Contacts of Patients with Leprosy. N Engl J Med 2023; 388:1843-1852. [PMID: 37195940 DOI: 10.1056/nejmoa2205487] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
BACKGROUND Previous studies have suggested that a single dose of rifampin has protective effects against leprosy in close contacts of patients with the disease. Rifapentine was shown to have greater bactericidal activity against Mycobacterium leprae than rifampin in murine models of leprosy, but data regarding its effectiveness in preventing leprosy are lacking. METHODS We conducted a cluster-randomized, controlled trial to investigate whether single-dose rifapentine is effective in preventing leprosy in household contacts of patients with leprosy. The clusters (counties or districts in Southwest China) were assigned to one of three trial groups: single-dose rifapentine, single-dose rifampin, or control (no intervention). The primary outcome was the 4-year cumulative incidence of leprosy among household contacts. RESULTS A total of 207 clusters comprising 7450 household contacts underwent randomization; 68 clusters (2331 household contacts) were assigned to the rifapentine group, 71 (2760) to the rifampin group, and 68 (2359) to the control group. A total of 24 new cases of leprosy occurred over the 4-year follow-up, for a cumulative incidence of 0.09% (95% confidence interval [CI], 0.02 to 0.34) with rifapentine (2 cases), 0.33% (95% CI, 0.17 to 0.63) with rifampin (9 cases), and 0.55% (95% CI, 0.32 to 0.95) with no intervention (13 cases). In an intention-to-treat analysis, the cumulative incidence in the rifapentine group was 84% lower than that in the control group (cumulative incidence ratio, 0.16; multiplicity-adjusted 95% CI, 0.03 to 0.87; P = 0.02); the cumulative incidence did not differ significantly between the rifampin group and the control group (cumulative incidence ratio, 0.59; multiplicity-adjusted 95% CI, 0.22 to 1.57; P = 0.23). In a per-protocol analysis, the cumulative incidence was 0.05% with rifapentine, 0.19% with rifampin, and 0.63% with no intervention. No severe adverse events were observed. CONCLUSIONS The incidence of leprosy among household contacts over 4 years was lower with single-dose rifapentine than with no intervention. (Funded by the Ministry of Health of China and the Chinese Academy of Medical Sciences; Chinese Clinical Trial Registry number, ChiCTR-IPR-15007075.).
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Affiliation(s)
- Le Wang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Hongsheng Wang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Liangbin Yan
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Meiwen Yu
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Jun Yang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Jinlan Li
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Junhua Li
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Yong Ning
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Haiqin Jiang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Ying Shi
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Wenyue Zhang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Li Xiong
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Jie Liu
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Yanfei Kuang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Hao Wang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Jun He
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - De Wang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Bin Li
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Yangying Liu
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Tiejun Shui
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Ying Wang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Huan Chen
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Xiaowei Sha
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Heng Long
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Xiaojin Yu
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Chong Shen
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Jianping Shen
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Xueyuan Yang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Heng Gu
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Guocheng Zhang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
| | - Baoxi Wang
- From the Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, and the National Center for Leprosy Control, Chinese Center for Disease Control and Prevention (CDC) (L.W., Hongsheng Wang, L.Y., M.Y., H.J., Y.S., W.Z., J.S., X. Yang, H.G., G.Z., B.W.), Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, and Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (Hongsheng Wang), the Department of Epidemiology and Health Statistics, School of Public Health, Southeast University (X. Yu), and the Department of Epidemiology, School of Public Health, Nanjing Medical University (C.S.), Nanjing, Yunnan Provincial CDC, Kunming (J.Y., L.X., J.H., T.S.), Guizhou Provincial CDC, Guiyang (Jinlan Li, J. Liu, D.W., Y.W.), Hunan Provincial CDC, Changsha (Junhua Li, Y.K., B.L., H.C.), Sichuan Provincial People's Hospital, Chengdu (Y.N., Hao Wang, Y. Liu, X.S.), WenShan Prefecture Institute of Dermatology, Wenshan (H.L.), and Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (B.W.) - all in China
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Ding Z, Guan L, He W, Gu H, Wang Y, Li X. Spatial characteristics of closed-loop TMS-EEG with occipital alpha-phase synchronized. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2023.104650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Wan XC, Zhang H, Shen Y, Zhou SY, Yang P, Zhou XJ, Gu H, Le QH, Xu JJ, Zhou XT, Hong JX. [A preliminary study on the tear matrix metalloproteinase 9 point-of-care assay using a domestic kit]. Zhonghua Yan Ke Za Zhi 2023; 59:272-278. [PMID: 37012590 DOI: 10.3760/cma.j.cn112142-20220813-00400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Objective: To compare the point-of-care assays for tear matrix metalloproteinase 9 (MMP-9) using domestic and InflammaDry kits, and to evaluate the feasibility of diagnosing dry eye with the domestic kit. Methods: It was a cross-sectional study. Thirty dry eye patients and 30 age-and sex-matched normal volunteers were continuously enrolled in this cross-sectional study from June 2022 to July 2022. Both domestic and InflammaDry kits were used to detect the tear MMP-9 levels. The positive rates were recorded for qualitative analysis, and the gray ratios of bands (the gray value of detection bands to that of control bands) were collected for quantitative analysis. The correlations of MMP-9 levels with age, ocular surface disease index, fluorescence tear break-up time, tear meniscus height, Schirmer's Ⅰ test score, corneal fluorescein staining score, and meibomian gland dropout were analyzed. The Mann-Whitney U test, paired Chi-square test, Kappa test, and Spearman's correlation coefficient were used for statistical analysis. Results: There were 14 males and 16 females (30 eyes) in the control group, and their age was (39.37±19.55) years. In the dry eye group, 11 males and 19 females (30 eyes), aged (46.87±17.85) years, had moderate to severe dry eye. The positive rates of MMP-9 in tear fluid were significantly different between dry eye patients (InflammaDry: 86.67%; domestic kit: 70.00%) and controls (InflammaDry: 16.67%, P<0.001; domestic kit: 6.67%, P<0.001). Although the sensitivity of the domestic kit was lower than that of the InflammaDry kit (70.0% vs. 86.7%, P=0.001), the specificity was higher (93.3% vs. 83.3%, P=0.001). In dry eye patients, the positive coincidence rate was 80.7% (21/26), the negative coincidence rate was 100% (4/4), and the total coincidence rate was 83.3% (25/30), with no significant difference between the two kits (McNemar test: χ2=3.20, P>0.05), and the results of both kits were consistent (Kappa=0.53, P=0.001). The Spearman's correlation coefficient showed the gray ratios using both kits were positively correlated with the corneal fluorescein staining score (InflammaDry: ρ=0.48, P<0.05; domestic kit: ρ=0.52, P=0.003). Conclusion: The performances of the domestic and InflammaDry kits are consistent in the point-of-care assay for tear MMP-9, and the domestic kit has lower sensitivity but higher specificity.
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Affiliation(s)
- X C Wan
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - H Zhang
- Department of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guiyang 550031, China
| | - Y Shen
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - S Y Zhou
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - P Yang
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - X J Zhou
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - H Gu
- Department of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guiyang 550031, China
| | - Q H Le
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - J J Xu
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - X T Zhou
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
| | - J X Hong
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, NHC Key Laboratory of Myopia, Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai 200031, China
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Du M, Li Y, Gu H, Gao M, Xu H, Zhong W, Liu X, Zhong X. Assessment of the risk of unexplained recurrent spontaneous abortion based on the proportion and correlation of NK cells and T cells in peripheral blood. Technol Health Care 2023; 31:97-109. [PMID: 37038785 DOI: 10.3233/thc-236010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
BACKGROUND Unexplained recurrent spontaneous abortion (URSA) is difficult to diagnose and treat clinically due to its unknown causeOBJECTIVE: Changes in natural killer (NK) cells, T lymphocytes, and Th1(IFNγ)/Th2(IL-4) cytokines were investigated in the peripheral blood of patients with URSA to examine the pathogenesis, clinical diagnosis, and inform potential treatment strategies for this condition. METHODS For this study, we selected patients with URSA as the case group and included normal women in the control group. Flow cytometry was performed to detect lymphocytes and cytokines in the peripheral blood of all subjects. RESULTS The proportion of NK cells, Th1 cells, and the Th1/Th2 ratio were significantly higher in the URSA group compared to the control group; whereas the proportion of CD3+T cells was lower. Pairwise correlation analysis revealed a positive correlation between the percentage of NK cells and CD3+T cells, as well as CD3+CD4+T cells. Canonical correlation analysis indicated a significant correlation between NK cells and T cells, including their subgroups. CONCLUSION Patients with URSA have immune balance disorders, characterised by an increased proportion of peripheral blood NK cells, Th1, and Th1/Th2 ratio along with a decreased proportion of CD3+T cells. The proportion of NK cells and CD3+T may serve as predictive factors for URSA, while NK cells are closely related to the regulation of CD3+T cells and their subsets. By regulating the level of IFN-γ, NK cells can influence the proportion of CD3+T cells and induce a Th1 (IFNγ)/Th2 (IL-4) imbalance.
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Gu H, Ruan RJ, Lu XD, Chu XF. [Hsa_circ_0000670 promoted the progression of gastric cancer through the miR-515-5p/SIX1 molecular axis]. Zhonghua Zhong Liu Za Zhi 2023; 45:238-252. [PMID: 36944545 DOI: 10.3760/cma.j.cn112152-20201024-00928] [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] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Objective: To explore whether hsa_circ_0000670 promotes the progression of gastric cancer by regulating the miR-515-5p/SIX1 molecular axis. Methods: The gastric cancer and adjacent normal tissues of 35 gastric cancer patients admitted to Rugao Hospital Affiliated to Nantong University from 2014 to 2015 were collected. The expression levels of circ_0000670, miR-515-5p and Sine oculis homeobox 1 (SIX1) in gastric cancer tissues and cells were detected by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot. The correlations between circ_0000670 and miR-515-5p, miR-515-5p and SIX1, circ_0000670 and SIX1 were analyzed by the Pearson method. Patients were divided into low circ_0000670 expression group (17 cases) and high circ_0000670 expression group (18 cases) based on the median of circ_0000670 expression level, and Kaplan-Meier was used to analyze the 5-year survival of patients. Cell proliferation was assessed via clone formation assay. Cell cycle and apoptosis were detected by flow cytometry. Wound healing and Transwell assays were used to detect cell migration and invasion ability. The targeting relationship between miR-515-5p and circ_0000670 or SIX1 was confirmed by the dual luciferase reporter assay. Nude mice were injected into HGC-27 cells transfected with sh-NC or sh-circ_0000670, and the volume and weight of the transplanted tumor were measured, also, the levels of circ_0000670, miR-515-5p and SIX1 in the transplanted tumor tissue were detected. Results: The expression levels of circ_0000670 and SIX1 in gastric cancer tissues and cell lines were significantly increased (P<0.05), while the expression levels of miR-515-5p were significantly decreased (P<0.05). The survival rate of patients in the low circ_0000670 expression group (82.4%) was significantly higher than that in the high circ_0000670 expression group (28.7%, P=0.034). Circ_0000670 was negatively correlated with miR-515-5p (r=-0.846, P<0.001), and miR-515-5p was negatively correlated with SIX1 (r=-0.615, P<0.001), but circ_0000670 was positively correlated with SIX1 (r=0.814, P<0.001). Transfection of si-circ_0000670 or miR-515-5p mimic could significantly reduce the number of clone-forming cells, migration distance, migration and invasion cells (P<0.05), and increase the ratio of G(0)/G(1) phase cells, apoptosis rate and the protein level of E-cadherin (P<0.05), decreased the proportion of S-phase cells and the protein level of Vimentin (P<0.05). The dual luciferase report assay confirmed that circ_0000670 could target miR-515-5p, and miR-515-5p could bind to SIX1. Co-transfection of si-circ_0000670 and miR-515-5p inhibitor could significantly attenuate the effects of si-circ_0000670 on cell proliferation, migration, invasion, cell cycle and apoptosis (P<0.05). Co-transfection of miR-515-5p mimic and pcDNA-SIX1 could significantly reduce the effects of miR-515-5p mimic on cell proliferation, migration, invasion, cell cycle and apoptosis (P<0.05). Compared with the sh-NC group [volume=(596.20±125.46) mm(3) and weight=(538.00±114.39) g], the volume and weight of transplanted tumors in the sh-circ_0000670 group [volume=(299.20±47.58) mm 3 and weight=(289.80±48.73 g)] were significantly reduced (P<0.05), the expression levels of circ_0000670 and SIX1 were significantly reduced (P<0.05), and the expression level of miR-515-5p was significantly increased (P<0.05). Conclusion: Knockdown of circ_0000670 could inhibit cell proliferation, migration, invasion of gastric cancer cells, induce cell cycle arrest in G(0)/G(1) phase and promote cell apoptosis by regulating the miR-515-5p/SIX1 axis.
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Affiliation(s)
- H Gu
- Department of General Surgery, Rugao Hospital Affiliated to Nantong University, Rugao 226500, China
| | - R J Ruan
- Department of Cardiothoracic Surgery, Rugao Hospital Affiliated to Nantong University, Rugao 226500, China
| | - X D Lu
- Department of General Surgery, Rugao Hospital Affiliated to Nantong University, Rugao 226500, China
| | - X F Chu
- Department of General Surgery, Rugao Hospital Affiliated to Nantong University, Rugao 226500, China
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Qu Y, Ji S, Sun Q, Zhao F, Li Z, Zhang M, Li Y, Zheng L, Song H, Zhang W, Gu H, Fu H, Zheng X, Cai J, Zhu Y, Cao Z, Lv Y, Shi X. Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study. Ecotoxicol Environ Saf 2023; 252:114601. [PMID: 36753970 DOI: 10.1016/j.ecoenv.2023.114601] [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: 11/16/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
Some epidemiological studies support a relationship between nickel exposure and diabetes in the general population. To address this, we tested the association of nickel exposure with diabetes in 10,890 adults aged ≥ 18 years old from the China National Human Biomonitoring study conducted in 2017-2018. Urinary nickel concentrations and fasting blood glucose (FBG) were measured, and lifestyle and demographic data were collected. Weighted logistic and linear regressions were used to estimate the associations of urinary nickel levels with diabetes prevalence and FBG. Restricted cubic splines (RCS) were used to test for the dose-response relationship. The odd ratio (95% confidence interval [CI]) of diabetes for the highest versus lowest quartiles of urinary nickel concentrations was 1.74 (1.28, 2.36) in the multivariate model (p trend =0.001). Each one-unit increase in log-transformed urinary nickel concentrations was associated with a 0.36 (0.17, 0.55) mmol/L elevation in FBG. The RCS curves showed a monotonically increasing dose-response relationship of urinary nickel with diabetes as well as FBG levels, and then tended to flatten after about 4.75 μg/L of nickel exposure. The nickel-diabetes association was stronger in individuals with lower than those with higher rice consumption (OR: 2.39 vs. 1.72). Our study supports a positive association between nickel exposure and diabetes prevalence in Chinese adults, especially in individuals with lower rice consumption. Further large-scale prospective studies are needed to validate our findings.
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Affiliation(s)
- Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Qi Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Miao Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Lei Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Haocan Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Wenli Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Hui Fu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China.
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Zhang Q, Shi P, Wang Z, Sun L, Li W, Zhao Q, Liu T, Pan Q, Sun Y, Jia F, Chen W, Fu X, Yu G, Bao F, Mi Z, Wang C, Sun Y, Li B, Liu J, Liu H, Gu H, Zhang F. Identification of the BTN3A3 gene as a molecule implicated in generalized pustular psoriasis in a Chinese population. J Invest Dermatol 2023:S0022-202X(23)00089-1. [PMID: 36804966 DOI: 10.1016/j.jid.2023.01.023] [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: 09/20/2022] [Revised: 01/28/2023] [Accepted: 01/31/2023] [Indexed: 02/18/2023]
Abstract
The discovery of pathogenic variants provided biological insight into the role of host genetic factors in generalized pustular psoriasis (GPP). However, not all those affected by GPP carry mutations in the reported genes. To comprehensively explore the molecular pathogenesis of GPP, whole-exome sequencing was performed and two loci were identified with exome-wide significance via single variant association analysis: rs148755083 in the IL36RN gene (Pcombined = 1.19 × 10-18, OR = 8.26) and HLA-C*06:02 within the MHC region (Pcombined = 8.38 × 10-12, OR = 2.98). Gene burden testing revealed that BTN3A3 correlated with GPP (Pcombined = 1.14 × 10-10, OR = 5.59). Subtype analysis showed that IL36RN and BTN3A3 were both significantly associated with GPP alone and GPP with psoriasis vulgaris (PV), while a correlation with HLA-C*06:02 was only observed in GPP with PV. Functional analysis revealed that BTN3A3 regulated cell proliferation and inflammatory balance in GPP. In particular, loss of function of BTN3A3 activated NF-κB and promoted the production of inflammatory cytokines by inhibiting IL-36Ra expression to disturb the IL-1/IL-36 inflammatory axis and enhance the TNF-α-mediated pathway. Our findings identify BTN3A3 as, to our knowledge, a previously unreported pathogenic determinant, expanding our understanding of the genetic basis of GPP.
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Affiliation(s)
- Qilin Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China; Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Peidian Shi
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zhenzhen Wang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Lele Sun
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Wenchao Li
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Qing Zhao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Tingting Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Qing Pan
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yuanhang Sun
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Fengming Jia
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Wenjie Chen
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xi'an Fu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Gongqi Yu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Fangfang Bao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zihao Mi
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Chuan Wang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yonghu Sun
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Bingqing Li
- Department of Pathogen Biology, School of Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | | | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China.
| | - Heng Gu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
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Zhu X, Du M, Gu H, Wu R, Gao M, Xu H, Tang J, Li M, Liu X, Zhong X. Integrated analysis of lncRNA and mRNA expression profiles in patients with unexplained recurrent spontaneous abortion. Am J Reprod Immunol 2023; 89:e13691. [PMID: 36793182 DOI: 10.1111/aji.13691] [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: 03/27/2022] [Revised: 01/11/2023] [Accepted: 01/28/2023] [Indexed: 02/17/2023] Open
Abstract
PROBLEM Unexplained recurrent spontaneous abortion (URSA) is one of the most frustrating and confounding conditions in reproductive medicine, and its exact pathogenesis has not been clearly established. METHOD OF STUDY In this study, we used RNA sequencing to characterize the mRNA and lncRNA expression profiles in peripheral blood. Thereafter, enrichment analysis was performed to determine the functions of the differentially expressed genes, and Cytoscape was used to construct lncRNA-mRNA interaction networks. RESULTS Our results showed that the peripheral blood of patients with URSA has distinct mRNA and lncRNA expression profiles, with a total of 359 mRNAs and 683 lncRNAs being differentially expressed. Moreover, the top hub genes, including IGF1, PPARG, CCL3, RETN, SERPINE1, HESX1, and PRL, were identified and further validated using real-time quantitative PCR. Furthermore, we demonstrated a lncRNA-mRNA interaction network that achieved 12 key lncRNAs and their targeted mRNAs are involved in systemic lupus erythematosus, allograft rejection, and complement and coagulation cascades. Finally, the correlation between immune cell subtypes and IGF1 expression was evaluated; a negative correlation was observed with the proportion of natural killer cells, which increased significantly in URSA. CONCLUSION We identified seven top hub genes, constructed a lncRNA-related network and suggested that IGF1 plays a key role in regulating maternal immune response by affecting NK and T cells' function, which helps to identify the pathogenesis of URSA.
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Affiliation(s)
- Xiaoli Zhu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Mengxuan Du
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Heng Gu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Ruishan Wu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Mengge Gao
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Hang Xu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Jia Tang
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Mingzhen Li
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Xiaohua Liu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Xingming Zhong
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
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Wu B, Pan Y, Li Z, Wang J, Ji S, Zhao F, Chang X, Qu Y, Zhu Y, Xie L, Li Y, Zhang Z, Song H, Hu X, Qiu Y, Zheng X, Zhang W, Yang Y, Gu H, Li F, Cai J, Zhu Y, Cao Z, S Ji J, Lv Y, Dai J, Shi X. Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study. Environ Int 2023; 172:107779. [PMID: 36746113 DOI: 10.1016/j.envint.2023.107779] [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: 11/16/2022] [Revised: 12/27/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND The associations of legacy per- and polyfluoroalkyl substances (PFAS) with lipid metabolism are controversial, and there is little information about the impact of emerging PFAS (6:2 Cl-PFESA) on lipid metabolism in China. OBJECTIVES We aimed to explore the associations of legacy and emerging PFAS with lipid profiles and dyslipidemia in Chinese adults. METHODS We included 10,855 Chinese participants aged 18 years and above in the China National Human Biomonitoring. The associations of 8 PFAS with 5 lipid profiles and 4 dyslipidemia were investigated using weighted multiple linear regression or weighted logistic regression, and the dose-response associations were investigated using restricted cubic spline model. RESULTS Among the 8 PFAS, the concentration of PFOS was the highest, with a geometric mean of 5.15 ng/mL, followed by PFOA and 6:2 Cl-PFESA, which were 4.26 and 1.63 ng/mL, respectively. Legacy (PFOA, PFOS, PFUnDA) or emerging (6:2 Cl-PFESA) PFAS were associated with lipid profiles (TC, LDL-C, HDL-C, non HDL-C) and dyslipidemia (high LDL-C, high TC, low HDL-C), and their effects on TC were most obvious. TC concentration increased by 0.595 mmol/L in the highest quartile (Q4) of PFOS when compared with the lowest quartile (Q1), (95 % CI:0.396, 0.794). Restricted cubic spline models showed that PFAS are nonlinearly associated with TC, non HDL-C, LDL-C and HDL-C, and that the lipid concentrations tend to be stable when PFOS and PFOA were > 20 ng/mL well as when the 6:2 Cl-PFESA level was > 10 ng/mL. The positive associations between PFAS mixtures and lipid profiles were also significant. CONCLUSIONS Single and mixed exposure to PFAS were positively associated with lipid profiles, and China's unique legacy PFAS substitutes (6:2 Cl-PFESA) contributed less to lipid profiles than legacy PFAS. In the future, cohort studies will be needed to confirm our findings.
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Affiliation(s)
- Bing Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yitao Pan
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinghua Wang
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaochen Chang
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanduo Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Linna Xie
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zheng Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Haocan Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojian Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yidan Qiu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Institute of Environmental Health, School of Public Health, and Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wenli Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanwei Yang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fangyu Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiayin Dai
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
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Zhu Z, Yang M, Gu H, Wang Y, Xiang L, Peng L. Adherence to the Dietary Approaches to Stop Hypertension (DASH) Eating Pattern Reduces the Risk of Head and Neck Cancer in American Adults Aged 55 Years and Above: A Prospective Cohort Study. J Nutr Health Aging 2023; 27:1100-1108. [PMID: 37997732 DOI: 10.1007/s12603-023-2009-7] [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: 08/12/2023] [Accepted: 09/15/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES Dietary Approaches to Stop Hypertension (DASH) pattern has been found to aid in the reduction of obesity, oxidative stress, and chronic inflammation, which are all strongly linked to the development of head and neck cancer (HNC). Nevertheless, no epidemiological studies have investigated the association between this dietary pattern and HNC risk. This study was conducted with the purpose of bridging this gap in knowledge. DESIGN A prospective cohort study involving 98,459 American adults aged 55 years and older. SETTING AND PARTICIPANTS Data were drawn from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Trial. In the present study, participants with dependable energy intake data who furnished baseline and dietary history information were identified as the study population. METHODS Diet was assessed by food frequency questionnaires and the DASH score was calculated to assess each participant's adherence to DASH eating pattern. Cox proportional hazards models were used to calculate multivariable adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the occurrence of HNC. To visualize the variation in cancer risk for HNC and its subtypes across the entire spectrum of DASH scores, restricted cubic spline plots were utilized. Additionally, a series of predefined subgroup analyses were performed to identify potential effect modifiers, and several sensitivity analyses were conducted to assess the stability of the findings. RESULTS During a follow-up period of 871,879.6 person-years, 268 cases of HNC were identified, comprising 161 cases pertaining to oral cavity and pharynx cancers, as well as 96 cases of larynx cancer. In the fully adjusted model, adherence to the DASH diet was associated with a remarkable 57% reduction in the risk of HNC when comparing extreme quartiles (HR quartile 4 vs 1: 0.43; 95% CI: 0.28, 0.66; P for trend < 0.001). The restricted cubic spline plots demonstrated a linear dose-response relationship between the DASH score and the risk of HNC as well as its subtypes. Subgroup analysis revealed that the protective effect of the DASH diet against HNC was particularly pronounced in individuals with lower daily energy intake. The primary association remained robust in the sensitivity analysis. CONCLUSIONS In American middle-aged and older population, adherence to the DASH diet may help prevent HNC, particularly for individuals with lower daily energy intake.
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Affiliation(s)
- Z Zhu
- Ling Xiang and Linglong Peng, The Second Affiliated Hospital of Chongqing Medical University, No.288 Tianwen Avenue, Nan'an District, Chongqing, 400010, China. fax: +86 (023) 62887512. E-mail: (Ling Xiang), (Linglong Peng)
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Song C, Zhang W, Xiao T, Li M, Zhang Y, Wei X, Chen Y, Lian N, Ke Y, Yu H, Li M, Gu H, Chen X. Reduction of miR-133a-3p contributes to apoptosis and gasdermin E-mediated pyroptosis of keratinocytes in skin exposed to ultraviolet B radiation. J Photochem Photobiol B 2023; 238:112613. [PMID: 36495669 DOI: 10.1016/j.jphotobiol.2022.112613] [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: 06/27/2022] [Revised: 11/11/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022]
Abstract
Engagement of regulated cell death in keratinocytes plays a crucial role in the pathogenesis and development of skin disorders associated with UV radiation. However, it remains unclear how microRNAs (miRNAs) participate in the regulation of UV-caused keratinocyte death. In this study, we found that miR-133a-3p was decreased in the epidermis of UVB-challenged mice and UVB-irradiated keratinocyte cell line HaCaT cells. The intradermal injection of agomir miR-133a-3p ameliorated skin damage of UVB-challenged mice, especially epidermal necrosis. Meanwhile, the injection inhibited apoptosis indicator PARP cleavage and pyroptosis indicator GSDME cleavage in the epidermis. In UVB-challenged HaCaT cells, transfection of miR-133a-3p mimic or inhibitor alleviated or aggravated UVB-induced apoptosis and GSDME-mediated pyroptosis respectively. miR-133a-3p was also involved in the effects of metformin treatment on alleviating skin damage in UVB-challenged mice and on inhibiting apoptosis and GSDME-mediated pyroptosis in UVB-irradiated HaCaT cells. We confirmed that CYLD is a target gene of miR-133a-3p and participates in the protective effects of miR-133a-3p on inhibiting UVB-caused apoptosis and GSDME-mediated pyroptosis in keratinocytes. This study indicates a pivotal role for miR-133a-3p of keratinocytes in UVB-caused skin damage. Alleviating skin photodamage by restoring the decrease of miR-133a-3p can be considered a potential therapeutic approach.
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Affiliation(s)
- Changjun Song
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Wenlan Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Ta Xiao
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Min Li
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Yiqun Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Xuecui Wei
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yujie Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Ni Lian
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Yangying Ke
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Hui Yu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Min Li
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Heng Gu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China
| | - Xu Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing 210042, China.
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Wang P, Wang B, Zhang L, Liu X, Shi L, Kang X, Lei X, Chen K, Chen Z, Li C, Zhang C, Tu P, Pan M, Ju Q, Man X, Lu Y, Yu N, Li Y, Zhu H, Zhang R, Su J, Tao S, Qiao J, Mu Q, Zeng W, Li Z, Gao Y, Gu H, Wang X. Clinical practice Guidelines for 5-Aminolevulinic acid photodynamic therapy for acne vulgaris in China. Photodiagnosis Photodyn Ther 2022; 41:103261. [PMID: 36587863 DOI: 10.1016/j.pdpdt.2022.103261] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 11/21/2022] [Revised: 12/16/2022] [Accepted: 12/28/2022] [Indexed: 12/31/2022]
Abstract
A variety of evidence suggest that 5-Aminolevulinic acid-based photodynamic therapy (ALA-PDT) is clinically effective in management of acne vulgaris. Several clinical guidelines for acne recommend PDT as an alternative treatment modality for severe acne. However, there is a lack of detailed clinical guideline for PDT in acne treatment. To propose up-to-date, evidence-based and practical recommendations on application of ALA-PDT for acne vulgaris, dermatologists and PDT experts from the Photodynamic Therapy Research Center of the CMA and Photodynamic Therapy Rehabilitation Training Center of CARD achieved consensus and guidelines based on careful evaluation of published literature, expert opinions and experience. ALA-PDT plays a therapeutic role in all four major pathogenesis of acne, and is suitable for moderate to severe acne and scar-prone acne, especially for patients who cannot tolerate or refused systemic antibiotics and isotretinoin. The efficacy and adverse reactions of ALA-PDT are closely related to therapeutic parameters including ALA concentration, incubation time, light source and dosage. Proper pretreatment helps to improve transdermal absorption of ALA and enhances its efficacy. We reviewed and proposed recommended protocols for four PDT procedures including conventional PDT (C-PDT), modified painless PDT (M-PDT), intense pulsed light PDT (IPL-PDT) and daylight PDT (DL-PDT). M-PDT with lower ALA concentration (3-5%), shorter incubation time (30 mins), and lower dose but prolonged illumination (630nm, 40-60 mW/cm2, 150 J/cm2) can improve lesions of moderate to severe acne vulgaris effectively with minimal pain and easier manipulation, and thus was recommended by Chinese dermatologists. Lastly, management of adverse reactions were addressed.
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Affiliation(s)
- Peiru Wang
- Institute of Photomedicine, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China
| | - Bo Wang
- Department of Dermatology, University of Michigan, Ann Arbor, Michigan, United States
| | - Linglin Zhang
- Institute of Photomedicine, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaojing Liu
- Institute of Photomedicine, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lei Shi
- Department of Dermatology, Huadong Hospital, Fudan University, Shanghai, China
| | - Xiaojing Kang
- Department of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang China
| | - Xia Lei
- Department of Dermatology, Daping Hospital, The Army Medical University, Chongqing, China
| | - Kun Chen
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Zhou Chen
- Department of Dermatology, Peking University People's Hospital, Beijing, China
| | - Chengxin Li
- Department of Dermatology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Chunlei Zhang
- Department of Dermatology, Peking University Third Hospital, Beijing, China
| | - Ping Tu
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China
| | - Meng Pan
- Department of Dermatology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiang Ju
- Department of Dermatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University. Shanghai, China
| | - Xiaoyong Man
- Department of Dermatology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang China
| | - Yan Lu
- Dermatology Department, 1st Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Nan Yu
- Department of Dermatology, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Yuzhen Li
- Department of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Huilan Zhu
- Guangzhou Institute of Dermatology, Guangzhou, China
| | - Ruzhi Zhang
- Department of Dermatology, The Third Affiliated Hospital of Suzhou University, Suzhou, China
| | - Juan Su
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Shiqin Tao
- Department of Dermatology, Wuxi No.2 People's Hospital, Wuxi Jiangsu, China
| | - Jianjun Qiao
- Department of Dermatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiri Mu
- Department of Dermatology, International Mongolian Hospital of Inner Mongolia, Inner Mongolia, China
| | - Weihui Zeng
- Department of Dermatology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an , China
| | - Zhiming Li
- Department of Dermatology and Venereology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ying Gao
- Department of Dermatology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Heng Gu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
| | - Xiuli Wang
- Institute of Photomedicine, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
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Wei Y, Lyu Y, Cao Z, Zhao F, Liu Y, Chen C, Li C, Gu H, Lu F, Zhou J, Wu B, Liu Y, Li J, Shi X. Association of low cadmium and mercury exposure with chronic kidney disease among Chinese adults aged ≥80 years: A cross-sectional study. Chin Med J (Engl) 2022; 135:2976-2983. [PMID: 36580647 PMCID: PMC10106162 DOI: 10.1097/cm9.0000000000002395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The heavy metals cadmium (Cd) and mercury (Hg) are known to be widespread environmental contaminants and high occupational exposure adversely affects the risk of chronic kidney disease (CKD). However, evidence from epidemiological studies linking low Cd and Hg exposure (or non-industrial) to the risk of progression to CKD are conflicting. This study aimed to explore the association of low Cd and Hg exposure with the risk of CKD in Chinese adults aged ≥80 years. METHODS The participants were recruited for the Healthy Aging and Biomarkers Cohort Study in 2017, an ongoing perspective survey conducted in longevity areas in China initially involving 3016 older adults. We used logistic regression models to estimate odds ratios (ORs) with 95% confidence intervals of CKD setting Cd and Hg as categorical variables. Logistic regression with restricted cubic spline was used to characterize a dose-response relationships between Cd or Hg concentrations and the risk of CKD in the study population. RESULTS The ORs for the risk of CKD comparing the fourth to the first quartile of blood Cd, blood Hg, urine Cd, and urine Hg were 1.77, 1.57, 2.03, and 1.50, respectively. Restricted cubic spline models showed that blood Cd and urine Hg were significantly linearly correlated with the risk of CKD, while blood Hg and urine Cd were non-linearly correlated with the risk of CKD with a steeper slope at concentrations <2.30 μg/L and 3.30 μg/g creatinine. CONCLUSIONS Our findings suggest that even low Cd and Hg exposure (or non-industrial) were associated with increased risk of CKD in Chinese oldest old, although we did not find a significant multiplicative and additive interaction between Cd and Hg levels in relation to the risk of CKD.
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Affiliation(s)
- Yuan Wei
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Department of Hygienic Inspection, School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Yuebin Lyu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yingchun Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chengcheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Feng Lu
- Beijing Municipal Health Commission Information Center, Beijing Municipal Health Commission Policy Research Center, Beijing 100034, China
| | - Jinhui Zhou
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Bing Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yang Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Juan Li
- Department of Hygienic Inspection, School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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Gu H, Chen H, Yao Q, Wang S, Ding Z, Yuan Z, Zhao X, Li X. Cortical theta-gamma coupling tracks the mental workload as an indicator of mental schema development during simulated quadrotor UAV operation. J Neural Eng 2022; 19. [PMID: 36541548 DOI: 10.1088/1741-2552/aca5b6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 11/24/2022] [Indexed: 11/25/2022]
Abstract
Objective. In the emerging field of neuroergonomics, mental workload assessment is one of the most important problems. Previous studies have made some progress on the relationship between task difficulties and mental workload, but how the mental schema, a reflection of the understanding and mastery degree of a task, affects mental workload has not been clearly discussed.Approach. There is emerging appreciation for the role of theta-gamma coupling (TGC) in high-level cognitive functions. Here, we attempt to further our understanding of how mental schema development and task difficulty had an impact on mental workload from the perspective of TGC. Specifically, the variation of TGC coupling strength and coupling pattern was estimated with different test orders and task difficulties performed by 51 students in a ten-day simulated quadrotor unmanned aerial vehicle flight training and test tasks.Main results. During the training, TGC increased with mental schema development. For the test tasks, TGC did not change with increasing task difficulty before the operator formed a mental schema but decreased with the increasing mental workload after the formation of the mental schema.Significance. Our results suggest that TGC was a robust indicator of mental schema development and could be biased by task difficulty. In conclusion, TGC can be a promising measure of mental workload, but only for experienced operators.
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Affiliation(s)
- Heng Gu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China
| | - He Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China.,School of Systems Science, Beijing Normal University, Beijing, People's Republic of China
| | - Qunli Yao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China
| | - Shaodi Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China
| | - Zhaohuan Ding
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China
| | - Ziqian Yuan
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China
| | - Xiaochuan Zhao
- Institute of Computer Applied Technology of China North Industries Group Corporation Limited, Beijing, People's Republic of China
| | - Xiaoli Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China
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Du M, Gu H, Li Y, Huang L, Gao M, Xu H, Deng H, Zhong W, Liu X, Zhong X. A missense variant in NCF1 is associated with susceptibility to unexplained recurrent spontaneous abortion. Open Life Sci 2022; 17:1443-1450. [DOI: 10.1515/biol-2022-0518] [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: 06/16/2022] [Revised: 09/14/2022] [Accepted: 09/24/2022] [Indexed: 11/15/2022] Open
Abstract
Abstract
Unexplained recurrent spontaneous abortion (URSA) is a major concern in reproductive medicine. Neutrophil cytosolic factor 1 (NCF1) polymorphisms leading to low production of reactive oxygen species (ROS) are strongly associated with autoimmune diseases. We investigated the association of the missense single nucleotide polymorphism (SNP) rs201802880 (NCF1-339) in NCF1 with URSA and explored its function. We performed NCF1-339 SNP genotyping of samples from 152 Chinese patients with URSA and 72 healthy controls using nested PCR and TaqMan assays. ROS production and RELA (NF-κB subunit) expression in the blood of participants with different NCF1-339 genotypes were determined. The frequencies of the wild-type (GG) and mutant (GA) genotypes remarkably differed between the URSA and control groups. The mutant genotype was associated with an increased risk of recurrent abortion. Furthermore, ROS levels in the URSA group with the GG genotype were significantly higher than those in the group with the GA genotype (p < 0.05). RELA expression in URSA patients with the GA genotype was considerably higher than that in control individuals with the GG genotype. These findings indicate that mutations in NCF1 may increase the risk of URSA via the NADP/ROS/NF-κB signaling pathway, which has implications for the diagnosis and treatment of URSA.
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Affiliation(s)
- Mengxuan Du
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University , Guangzhou 510630 , Guangdong Province , China
| | - Heng Gu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
| | - Yanqiu Li
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
| | - Liyan Huang
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
| | - Mengge Gao
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University , Guangzhou 510630 , Guangdong Province , China
| | - Hang Xu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University , Guangzhou 510630 , Guangdong Province , China
| | - Huaqian Deng
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
| | - Wenyao Zhong
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
| | - Xiaohua Liu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
| | - Xingming Zhong
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) , Guangzhou 510600 , Guangdong Province , China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University , Guangzhou 510630 , Guangdong Province , China
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Lian N, Chen Y, Chen S, Xiao T, Song C, Ke Y, Wei X, Gong C, Yu H, Gu H, Chen Q, Li M, Chen X. Necroptosis-mediated HMGB1 secretion of keratinocytes as a key step for inflammation development in contact hypersensitivity. Cell Death Dis 2022; 8:451. [PMID: 36344541 PMCID: PMC9640721 DOI: 10.1038/s41420-022-01228-6] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022]
Abstract
Keratinocyte necroptosis (with proinflammatory characteristic) is required for epidermal damage in contact hypersensitivity (CHS). In DNCB-induced CHS mice model, we observed the aggravated keratinocyte death and increased phosphorylation level of MLKL, RIPK3 and RIPK1. However, CHS skin lesion did not present in keratinocyte-specific Mlkl knockout mice. We validated that MLKL-mediated keratinocyte necroptosis is required for epidermal damage in response to immune microenvironment in CHS. Moreover, MLKL-mediated necroptosis deficiency or inhibition resulted in blocking recruitment and activation of inflammatory cells in CHS via reducing HMGB1 release in keratinocytes. This study suggests that MLKL-mediated keratinocyte necroptosis functions as a self-amplified actor in inflammatory responses and could be considered as an effective therapeutic target. It proposes an innovative prospective that inhibiting keratinocyte necroptosis can prevent the development of epidermal damage in CHS. ![]()
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Ju AP, Zhou JH, Gu H, Ye LL, Chen C, Guo YB, Wang J, Zhang ZW, Qu YL, Liu Y, Liu L, Xue K, Zhao F, Lyu YB, Ye L, Shi X. [Association of body mass index and waist circumference with frailty among people aged 80 years and older in Chinese]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1584-1590. [PMID: 36372748 DOI: 10.3760/cma.j.cn112150-20211228-01196] [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: 06/16/2023]
Abstract
Objective: To examine the association of body mass index (BMI) and waist circumference (WC) with frailty among oldest-old adults in China. Methods: A total of 7 987 people aged 80 years and older (oldest-old) who participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2017-2018 were included. Information on demographic characteristics, behavior pattern, diet, activities of daily living, cognitive function, health status, disease condition were collected by questionnaire and physical examination. Generalized linear mixed model and restricted cubic splines (RCS) were used to analyze the association of BMI and WC with frailty. Results: The mean age of all participants was 91.7 years, and their mean BMI and WC were (21.3±3.5) kg/m2 and (82.9±10.5) cm, respectively. The proportion of male was 42.3% (3 377/7 987), and the proportion of people with frailty was 33.7% (2 664/7 987). After controlling confounding factors, compared with T2 (19.1-22.1 kg/m2) of BMI, the OR (95%CI) of the female T1 (<19.1 kg/m2) and T3 (≥22.2 kg/m2) group was 1.39 (1.17-1.65) and 1.27 (1.07-1.52), respectively. Compared with T2 (77-85 cm) of WC, the OR (95%CI) of female T1 (<77 cm) and T3 (≥86 cm) group was 1.20 (1.01-1.42) and 1.10 (0.93-1.31), respectively. The results of multiple linear regression model with restrictive cubic spline showed that there was a non-linear association of BMI and WC with frailty in female. Conclusion: There is a U-shaped association of BMI and WC with frailty in female participants.
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Affiliation(s)
- A P Ju
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - J H Zhou
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H Gu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L L Ye
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - C Chen
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Guo
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - J Wang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z W Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Editorial Department of Chinese Journal of Preventive Medicine, Chinese Medical Journal, Beijing 100052, China
| | - Y L Qu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - L Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - K Xue
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - F Zhao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Lin Ye
- School of Public Health, Jilin University, Changchun 130012, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Ji SS, Lyu YB, Qu YL, Hu XJ, Lu YF, Cai JF, Song SX, Zhang X, Liu YC, Yang YW, Zhang WL, Li YW, Zhang MY, Chen C, Li CC, Li Z, Gu H, Liu L, Cai JY, Qiu T, Fu H, Ji SJ, Zhao F, Zhu Y, Cao ZJ, Shi XM. Urinary Creatinine Concentrations and Its Explanatory Variables in General Chinese Population: Implications for Creatinine Limits and Creatinine Adjustment. Biomed Environ Sci 2022; 35:899-910. [PMID: 36443267 DOI: 10.3967/bes2022.117] [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] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 05/23/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE The study aimed to analyze the applicability of the World Health Organization's exclusionary guidelines for Urinary creatinine (Ucr) in the general Chinese population, and to identify Ucr related factors. METHODS We conduct a cross-sectional study using baseline data from 21,167 participants in the China National Human Biomonitoring Program. Mixed linear models and restricted cubic splines (RCS) were used to analyze the associations between explanatory variables and Ucr concentration. RESULTS The geometric mean and median concentrations of Ucr in the general Chinese population were 0.90 g/L and 1.01 g/L, respectively. And 9.36% samples were outside 0.3-3.0 g/L, including 7.83% below the lower limit and 1.53% above the upper limit. Middle age, male, obesity, smoking, higher frequency of red meat consumption and chronic kidney disease were associated significantly with higher concentrations of Ucr. Results of the RCS showed Ucr was positively and linearly associated with body mass index, inversely and linearly associated with systolic blood pressure, diastolic blood pressure, triglycerides level, and glomerular filtration rate, and were non-linearly associated with triiodothyronine. CONCLUSION The age- and gender-specific cut-off values of Ucr that determine the validity of urine samples in the general Chinese population were recommended. To avoid introducing bias into epidemiologic associations, the potential predictors of Ucr observed in the current study should be considered when using Ucr to adjust for variations in urine dilution.
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Affiliation(s)
- Sai Sai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yue Bin Lyu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ying Li Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xiao Jian Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yi Fu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jun Fang Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Shi Xun Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xu Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ying Chun Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yan Wei Yang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Wen Li Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ya Wei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ming Yuan Zhang
- School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Cheng Cheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ling Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jia Yi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Tian Qiu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hui Fu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S John Ji
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zhao Jin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xiao Ming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Wu B, Qu Y, Lu Y, Ji S, Ding L, Li Z, Zhang M, Gu H, Sun Q, Ying B, Zhao F, Zheng X, Qiu Y, Zhang Z, Zhu Y, Cao Z, Lv Y, Shi X. Mercury may reduce the protective effect of sea fish consumption on serum triglycerides levels in Chinese adults: Evidence from China National Human Biomonitoring. Environ Pollut 2022; 311:119904. [PMID: 35961572 DOI: 10.1016/j.envpol.2022.119904] [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: 03/04/2022] [Revised: 06/12/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
Sea fish contain omega-3 polyunsaturated fatty acids (omega-3 PUFAs) which have been found to reduce triglyceride (TG) levels. However, sea fish may contain pollutants such as mercury which cause oxidative stress and increase TG levels. Therefore, the relationship between sea fish and TG remains unclear. We aimed to explore whether blood mercury (BHg) can affect the effect of sea fish consumption frequency on TG level among Chinese adults. A total of 10,780 participants were included in this study. BHg levels were measured using inductively coupled plasma mass spectrometry (ICP-MS). The associations of sea fish consumption frequency with BHg and TG levels as well as the association of BHg with TG levels were evaluated using multiple linear regression. Causal mediation analysis was used to evaluate the mediation effect of BHg levels on the association of sea fish consumption frequency with TG levels. The frequency of sea fish consumption showed a negative association with TG level. Compared with the participants who never ate sea fish, the TG level decreased by 0.193 mmol/L in those who ate sea fish once a week or more [β (95%CI): -0.193 (-0.370, -0.015)]. Significant positive associations were observed of BHg with TG levels. With one unit increase of log2-transformed BHg, the change of TG level was 0.030 mmol/L [0.030 (0.009, 0.051)]. The association between sea fish consumption and TG was mediated by log2-transformed BHg [total effect = -0.037 (-0.074, -0.001); indirect effect = 0.009 (0.004, 0.015)], and the proportion mediated by log2-transformed BHg was 24.25%. BHg may reduce the beneficial effect of sea fish consumption frequency on TG levels among Chinese adults. Overall, sea fish consumption has more benefits than harms to TG.
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Affiliation(s)
- Bing Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yifu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liang Ding
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Miao Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qi Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bo Ying
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yidan Qiu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zheng Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
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Mao B, Xiao K, Chen X, Zhu J, Gu H, Guo S. Systematic evaluation of label-free protein quantification pipelines in 12 mouse syngeneic models. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)00916-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Xiong J, Lv Y, Wei Y, Liu Z, Li X, Zhou J, Liu Y, Zhao F, Chen C, Gu H, Wang J, Zheng X, Xue K, Qiu Y, Shen T, Shi X. Association of blood mercury exposure with depressive symptoms in the Chinese oldest old. Ecotoxicol Environ Saf 2022; 243:113976. [PMID: 35994910 DOI: 10.1016/j.ecoenv.2022.113976] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 05/28/2022] [Revised: 08/12/2022] [Accepted: 08/13/2022] [Indexed: 06/15/2023]
Abstract
Depressive symptoms have a significant impact on the quality-of-life among the oldest old (aged ≥ 80 years) in the population. Current research on the association of blood mercury with depressive symptoms has mainly targeted the general population. However, it is unclear whether this association is present in the oldest old. We used data from the Healthy Aging and Biomarker Cohort Study carried out in 2017-2018, with 1154 participants aged ≥ 80 years eligible for analysis. Inductively coupled plasma mass spectrometry (ICP-MS) was employed to detect blood mercury (Hg) levels, while the CES-D10 depression scale was used to assess depressive symptoms. The association between blood mercury levels and depressive symptoms was investigated using log-binomial and Poisson regression models. We also used restricted cubic splines (RCS) to assess the linear or nonlinear association of blood mercury with depressive symptoms scores. The 1154 participants ranged in age from 80 to 120 years, while the geometric mean of blood mercury concentration was 1.01 μg/L. After adjustment for covariates, log-binomial and Poisson regression analyses revealed a statistically significant, positive association of blood mercury with depressive symptoms. In comparison to the first tertile, the adjusted relative risks of blood mercury and the presence of depressive symptoms in the second and third tertiles were 1.55 (1.20-1.99) and 1.45 (1.11-1.90), respectively. The RCS model showed a linear association between blood mercury level and depressive symptoms scores. In conclusion, among the oldest old, we demonstrated that blood mercury levels were positively associated with depressive symptoms. Further surveys, especially cohort studies and clinical trials are needed to confirm these results.
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Affiliation(s)
- Jiahui Xiong
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yuan Wei
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Zuyun Liu
- School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Xinwei Li
- School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Jinhui Zhou
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yang Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jun Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 210046, China
| | - Kai Xue
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Yidan Qiu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Tong Shen
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.
| | - Xiaoming Shi
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
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40
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Zhu P, Qi R, Yang Y, Huo W, Zhang Y, He L, Wang G, Xu J, Zhang F, Yang R, Tu P, Ma L, Liu Q, Li Y, Gu H, Cheng B, Chen X, Chen A, Xiao S, Jin H, Zhang J, Li S, Yao Z, Pan W, Yang H, Shen Z, Cheng H, Song P, Fu L, Chen H, Geng S, Zeng K, Wang J, Tao J, Chen Y, Wang X, Gao X. Clinical guideline for the diagnosis and treatment of cutaneous warts (2022). J Evid Based Med 2022; 15:284-301. [PMID: 36117295 PMCID: PMC9825897 DOI: 10.1111/jebm.12494] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/26/2022] [Indexed: 01/11/2023]
Abstract
AIM Cutaneous warts caused by human papillomavirus are benign proliferative lesions that occur at any ages in human lives. Updated, comprehensive and systematic evidence-based guidelines to guide clinical practice are urgently needed. METHODS We collaborated with multidisciplinary experts to formulate this guideline based on evidences of already published literature, focusing on 13 clinical questions elected by a panel of experts. We adopted Grading of Recommendations Assessment, Development and Evaluation (GRADE) system to form classification of recommendations as well as the improved Delphi method to retain respective recommendations with a consensus degree of over 80%. RESULTS Our guideline covered aspects of the diagnosis and treatment of cutaneous warts such as diagnostic gold standard, transmission routes, laboratory tests, treatment principle, clinical cure criterion, definitions, and treatments of common warts, flat warts, plantar warts, condyloma acuminatum, and epidermodysplasia verruciformis. Recommendations about special population such as children and pregnant women are also listed. In total, 49 recommendations have been obtained. CONCLUSIONS It is a comprehensive and systematic evidence-based guideline and we hope this guideline could systematically and effectively guide the clinical practice of cutaneous warts and improve the overall levels of medical services.
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Affiliation(s)
- Peiyao Zhu
- Department of DermatologyThe First Hospital of China Medical UniversityHeping DistrictShenyangP.R. China
- NHC Key Laboratory of Immunodermatology, China Medical UniversityHeping DistrictShenyangP.R. China
- Key Laboratory of Immunodermatology, China Medical UniversityMinistry of EducationHeping DistrictShenyangP.R. China
- National and Local Joint Engineering Research Center of Immunodermatological TheranosticsHeping DistrictShenyangP.R. China
| | - Rui‐Qun Qi
- Department of DermatologyThe First Hospital of China Medical UniversityHeping DistrictShenyangP.R. China
- NHC Key Laboratory of Immunodermatology, China Medical UniversityHeping DistrictShenyangP.R. China
- Key Laboratory of Immunodermatology, China Medical UniversityMinistry of EducationHeping DistrictShenyangP.R. China
- National and Local Joint Engineering Research Center of Immunodermatological TheranosticsHeping DistrictShenyangP.R. China
| | - Yang Yang
- Department of DermatologyThe First Hospital of China Medical UniversityHeping DistrictShenyangP.R. China
- NHC Key Laboratory of Immunodermatology, China Medical UniversityHeping DistrictShenyangP.R. China
- Key Laboratory of Immunodermatology, China Medical UniversityMinistry of EducationHeping DistrictShenyangP.R. China
- National and Local Joint Engineering Research Center of Immunodermatological TheranosticsHeping DistrictShenyangP.R. China
| | - Wei Huo
- Department of DermatologyThe First Hospital of China Medical UniversityHeping DistrictShenyangP.R. China
- NHC Key Laboratory of Immunodermatology, China Medical UniversityHeping DistrictShenyangP.R. China
- Key Laboratory of Immunodermatology, China Medical UniversityMinistry of EducationHeping DistrictShenyangP.R. China
- National and Local Joint Engineering Research Center of Immunodermatological TheranosticsHeping DistrictShenyangP.R. China
| | - Yuqing Zhang
- Department of Clinical Epidemiology and Evidence‐Based MedicineThe First Hospital of China Medical UniversityHeping DistrictShenyangP.R. China
| | - Li He
- Department of DermatologyFirst Affiliated Hospital of Kunming Medical UniversityKunmingP.R. China
| | - Gang Wang
- Department of DermatologyXijing HospitalFourth Military Medical UniversityXi'an, ShaanxiP. R. China
| | - Jinhua Xu
- Department of DermatologyHuashan HospitalFudan UniversityShanghaiP.R. China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and VenereologyShandong First Medical University & Shandong Academy of Medical SciencesJinanP.R. China
| | - Rongya Yang
- Department of DermatologyGeneral Hospital of Beijing Military Command of PLADongcheng DistrictBeijingP.R. China
| | - Ping Tu
- Department of Dermatology and VenerologyPeking University First HospitalBeijingP.R. China
| | - Lin Ma
- Department of DermatologyBeijing Children's HospitalCapital Medical UniversityNational Center for Children's HealthBeijingP.R. China
| | - Quanzhong Liu
- Department of DermatologyTianjin Medical University General HospitalTianjinP.R. China
| | - Yuzhen Li
- Department of DermatologySecond Affiliated Hospital of Harbin Medical UniversityHarbinP.R. China
| | - Heng Gu
- Institute of DermatologyChinese Academy of Medical Sciences and Peking Union Medical CollegeNanjingP.R. China
| | - Bo Cheng
- Department of DermatologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouP.R. China
| | - Xiang Chen
- Department of DermatologyXiangya HospitalCentral South UniversityChangshaP.R. China
| | - Aijun Chen
- Department of DermatologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingP.R. China
| | - Shengxiang Xiao
- Department of DermatologyThe Second Affiliated HospitalSchool of MedicineXi'an Jiaotong UniversityXi'anP.R. China
| | - Hongzhong Jin
- Department of DermatologyPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeDongcheng DistrictBeijingP.R. China
| | - Junling Zhang
- Department of DermatologyTianjin Academy of Traditional Chinese Medicine Affiliated HospitalTianjinP.R. China
| | - Shanshan Li
- Department of DermatologyThe First Hospital of Jilin UniversityChangchunJilin ProvinceP.R. China
| | - Zhirong Yao
- Department of DermatologyXinhua HospitalShanghai Jiao Tong University School of MedicineShanghaiP.R. China
| | - Weihua Pan
- Department of DermatologyShanghai Key Laboratory of Molecular Medical MycologySecond Affiliated Hospital of Naval Medical UniversityShanghaiP.R. China
| | - Huilan Yang
- Department of DermatologyGeneral Hospital of Southern Theatre Command of PLAGuangzhouP.R. China
| | - Zhu Shen
- Department of DermatologyInstitute of Dermatology and VenereologySichuan Academy of Medical Sciences and Sichuan Provincial People's HospitalChengduP.R. China
| | - Hao Cheng
- Department of Dermatology and VenereologySir Run Run Shaw HospitalSchool of MedicineZhejiang UniversityHangzhouP.R. China
| | - Ping Song
- Department of DermatologyGuang'anmen HospitalChina Academy of Chinese Medical SciencesBeijingP.R. China
| | - Lingyu Fu
- Department of Clinical Epidemiology and Evidence‐Based MedicineThe First Hospital of China Medical UniversityHeping DistrictShenyangP.R. China
| | - Hongxiang Chen
- Department of DermatologyUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanP.R. China
| | - Songmei Geng
- Department of DermatologyThe Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiP.R. China
| | - Kang Zeng
- Department of DermatologyNanfang HospitalSouthern Medical UniversityGuangzhouP.R. China
| | - Jianjian Wang
- Evidence‐Based Medicine CenterSchool of Basic Medical SciencesLanzhou UniversityLanzhouP.R. China
| | - Juan Tao
- Department of DermatologyUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanP.R. China
| | - Yaolong Chen
- Evidence‐Based Medicine CenterSchool of Basic Medical SciencesLanzhou UniversityLanzhouP.R. China
- World Health Organization Collaborating Center for Guideline Implementation and Knowledge TranslationLanzhouP.R. China
- GIN AsiaLanzhouP.R. China
| | - Xiuli Wang
- Institute of PhotomedicineShanghai Skin Disease HospitalSchool of MedicineTongji UniversityShanghaiP.R. China
| | - Xing‐Hua Gao
- Department of DermatologyThe First Hospital of China Medical UniversityHeping DistrictShenyangP.R. China
- NHC Key Laboratory of Immunodermatology, China Medical UniversityHeping DistrictShenyangP.R. China
- Key Laboratory of Immunodermatology, China Medical UniversityMinistry of EducationHeping DistrictShenyangP.R. China
- National and Local Joint Engineering Research Center of Immunodermatological TheranosticsHeping DistrictShenyangP.R. China
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Zhang XR, Lin T, Wang XL, Wang XJ, Gu H. [Preparation of salvianolic acid B, tanshinone Ⅱ_A, and glycyrrhetinic acid lipid emulsion and its protective effect against acute liver injury induced by acetaminophen]. Zhongguo Zhong Yao Za Zhi 2022; 47:4634-4642. [PMID: 36164869 DOI: 10.19540/j.cnki.cjcmm.20220705.302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Salvianolic acid B(Sal B), tanshinone Ⅱ_A(TSN Ⅱ_A), and glycyrrhetinic acid(GA) lipid emulsion(GTS-LE) was prepared by the high-speed dispersion method combined with ultrasonic emulsification.The preparation process of the emulsion was optimized by single-factor method and D-optimal method with appearance, centrifugal stability, and particle size of the emulsion as evalua-tion indexes, followed by verification.In vitro release of Sal B, TSN Ⅱ_A, and GA in GTS-LE was performed by reverse dialysis.In vivo pharmacokinetic evaluation was carried out in mice.The acute liver injury model was induced by acetaminophen.The effect of oral GTS-LE on the acute liver injury was investigated by serum liver function indexes and pathological changes in liver tissues of mice.The results showed that under the optimal preparation process, the average particle size of GTS-LE was(145.4±9.25) nm and the Zeta potential was(-33.6±1.45) mV.The drug-loading efficiencies of Sal B, TSN Ⅱ_A, and GA in GTS-LE were above 95%, and the drug release in vitro conformed to the Higuchi equation.The pharmacokinetic results showed that the C_(max) of Sal B, TSN Ⅱ_A, and GA in GTS-LE was 3.128, 2.7, and 2.85 times that of the GTS-S group, and AUC_(0-t) of Sal B, TSN Ⅱ_A, and GA in GTS-LE was 3.09, 2.23, and 1.9 times that of the GTS-S group.After intragastric administration of GTS-LE, the activities of alanine aminotransferase and aspartate aminotransferase were significantly inhibited, the content of malondialdehyde was reduced, and the structure of hepatocytes recovered to normal.In conclusion, GTS-LE can delay the release of Sal B and promote the release of TSN Ⅱ_A and GA.The encapsulation of three drug components in the emulsion can improve the oral bioavailability to varying degrees and can effectively prevent the acute liver injury caused by acetaminophen.
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Affiliation(s)
- Xiu-Rong Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine Beijing 102488, China
| | - Tao Lin
- School of Chinese Materia Medica, Beijing University of Chinese Medicine Beijing 102488, China
| | - Xiu-Li Wang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine Beijing 102488, China
| | - Xiao-Jie Wang
- College of Bioengineering,Beijing Polytechnic Beijing 100176, China
| | - Heng Gu
- TCM Pharmacy, Kunming Municipal Hospital of Traditional Chinese Medicine Kunming 650011, China
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Zhu Y, Gu H, Yang L, Li N, Chen Q, Kang D, Lin S, Jing Y, Jiang P, Chen Q, Luo L, Liu J, Chang J, Li Z, Wang Y, Dai X, Miller H, Westerberg LS, Park C, Kubo M, Gong Q, Dong L, Liu C. Involvement of MST1/mTORC1/STAT1 activity in the regulation of B-cell receptor signalling by chemokine receptor 2. Clin Transl Med 2022; 12:e887. [PMID: 35875970 PMCID: PMC9309749 DOI: 10.1002/ctm2.887] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/12/2021] [Accepted: 05/05/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND CCR2 is involved in maintaining immune homeostasis and regulating immune function. This study aims to elucidate the mechanism by which CCR2 regulates B-cell signalling. METHODS In Ccr2-knockout mice, the development and differentiation of B cells, BCR proximal signals, actin movement and B-cell immune response were determined. Besides, the level of CCR2 in PBMC of SLE patients was analysed by bioinformatics. RESULTS CCR2 deficiency reduces the proportion and number of follicular B cells, upregulates BCR proximal signalling and enhances the oxidative phosphorylation of B cells. Meanwhile, increased actin filaments aggregation and its associated early-activation events of B cells are also induced by CCR2 deficiency. The MST1/mTORC1/STAT1 axis in B cells is responsible for the regulation of actin remodelling, metabolic activities and transcriptional signalling, specific MST1, mTORC1 or STAT1 inhibitor can rescue the upregulated BCR signalling. Glomerular IgG deposition is obvious in CCR2-deficient mice, accompanied by increased anti-dsDNA IgG level. Additionally, the CCR2 expression in peripheral B cells of SLE patients is decreased than that of healthy controls. CONCLUSIONS CCR2 can utilise MST1/mTORC1/STAT1 axis to regulate BCR signalling. The interaction between CCR2 and BCR may contribute to exploring the mechanism of autoimmune diseases.
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Affiliation(s)
- Yingzi Zhu
- Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Heng Gu
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Lu Yang
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Na Li
- Department of Immunology, School of MedicineYangtze UniversityJingzhouChina
| | - Qiuyue Chen
- Department of Immunology, School of MedicineYangtze UniversityJingzhouChina
| | - Danqing Kang
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Shengyan Lin
- Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Yukai Jing
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Panpan Jiang
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Qianglin Chen
- Department of Immunology, School of MedicineYangtze UniversityJingzhouChina
| | - Li Luo
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Ju Liu
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Jiang Chang
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Zhenzhen Li
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Yi Wang
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xin Dai
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Heather Miller
- Department of Research and DevelopmentBD BiosciencesSan JoseCaliforniaUnited States
| | - Lisa S. Westerberg
- Department of Microbiology Tumor and Cell BiologyKarolinska InstitutetStockholmSweden
| | - Chan‐Sik Park
- Department of Pathology, Asan Medical CenterUniversity of Ulsan College of MedicineSongpa‐guSeoulKorea
| | - Masato Kubo
- Laboratory for Cytokine Regulation, Center for Integrative Medical Science (IMS)RIKEN Yokohama InstituteKanagawaJapan
| | - Quan Gong
- Department of Immunology, School of MedicineYangtze UniversityJingzhouChina
| | - Lingli Dong
- Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Chaohong Liu
- Department of Pathogen Biology, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
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Luo L, Jiang P, Chen Q, Chang J, Jing Y, Luo X, Gu H, Huang Y, Chen R, Liu J, Kang D, Liu Q, Wang Y, Fang G, Zhu Y, Guan F, Lei J, Yang L, Liu C, Dai X. c-Abl controls BCR signaling and B cell differentiation by promoting B cell metabolism. Immunology 2022; 167:181-196. [PMID: 35753034 DOI: 10.1111/imm.13525] [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: 10/10/2021] [Accepted: 03/15/2022] [Indexed: 11/30/2022] Open
Abstract
As a non-receptor tyrosine kinase, c-Abl was first studied in chronic myelogenous leukemia, and its role in lymphocytes has been well characterized. c-Abl is involved in B cell development and CD19 associated B cell antigen receptor (BCR) signaling. Although c-Abl regulates different metabolic pathways, the role of c-Abl is still unknown in B cell metabolism. In this study, B cell specific c-Abl knockout (KO) mice (Mb1Cre+/- c-Ablfl/fl ) were used to investigate how c-Abl regulates B cell metabolism and BCR signaling. We found that the levels of activation positive BCR signaling proximal molecules, phosphorylated spleen tyrosine kinase (pSYK) and phosphorylated Bruton tyrosine kinase (pBTK), were decreased, while the level of key negative regulator, phosphorylated SH2-containing inositol phosphatase (pSHIP1), was increased in Mb1Cre+/- c-Ablfl/fl mice. Furthermore, we found c-Abl deficiency weakened the B cell spreading, formation of BCR signalosomes, and the polymerization of actin during BCR activation, and also impaired the differentiation of germinal center (GC) B cells both in quiescent condition and after immunization. Moreover, B cell mitochondrial respiration and the expression of B cell metabolism regulating molecules were downregulated in c-Abl deficiency mice. Overall, c-Abl, which involved in actin remodeling and B cell metabolism, positively regulates BCR signaling and promotes GC differentiation. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Li Luo
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Panpan Jiang
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qianglin Chen
- Department of Immunology, School of Medicine, Yangtze University, Jingzhou, China
| | - Jiang Chang
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yukai Jing
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xi Luo
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Heng Gu
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanmei Huang
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ran Chen
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ju Liu
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danqing Kang
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Liu
- Department of Immunology, School of Medicine, Yangtze University, Jingzhou, China
| | - Yi Wang
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guofeng Fang
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingzi Zhu
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Guan
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiahui Lei
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lu Yang
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chaohong Liu
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Dai
- Department of Pathogen Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Zhang L, Huang J, Ma Y, Wan Z, Dai H, Li R, Gu H, Wang X. Primary Cutaneous Mucormycosis, Candida Onychomycosis and Endophthalmitis in a Patient with CARD9 Mutation. Mycopathologia 2022; 187:305-308. [PMID: 35146600 DOI: 10.1007/s11046-021-00609-2] [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] [Received: 10/10/2021] [Accepted: 11/18/2021] [Indexed: 10/19/2022]
Affiliation(s)
- Lu Zhang
- Department of Dermatology and Venerology, Peking University First Hospital, The Research Center for Medical Mycology, Peking University, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, National Clinical Research Center for Skin and Immune Diseases, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Jianfeng Huang
- Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Yubo Ma
- Department of Dermatology and Venerology, Peking University First Hospital, The Research Center for Medical Mycology, Peking University, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, National Clinical Research Center for Skin and Immune Diseases, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Zhe Wan
- Department of Dermatology and Venerology, Peking University First Hospital, The Research Center for Medical Mycology, Peking University, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, National Clinical Research Center for Skin and Immune Diseases, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Hong Dai
- Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Ruoyu Li
- Department of Dermatology and Venerology, Peking University First Hospital, The Research Center for Medical Mycology, Peking University, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, National Clinical Research Center for Skin and Immune Diseases, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Heng Gu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, 12 Jiangwangmiao Street, Nanjin, 210042, Jiangsu, China.
| | - Xiaowen Wang
- Department of Dermatology and Venerology, Peking University First Hospital, The Research Center for Medical Mycology, Peking University, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, National Clinical Research Center for Skin and Immune Diseases, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China.
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45
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Liang Y, Chen SH, Zhang XY, Lu XF, Gu H. [A giant malignant phyllodes tumor of the breast: a case report]. Zhonghua Zhong Liu Za Zhi 2022; 44:455-456. [PMID: 35615805 DOI: 10.3760/cma.j.cn112152-20220118-00044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Y Liang
- Department of General Surgery (Breast Surgery), the First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan 250014, China
| | - S H Chen
- Department of General Surgery (Breast Surgery), the First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan 250014, China
| | - X Y Zhang
- Department of Pathology, the First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan 250014, China
| | - X F Lu
- Department of General Surgery (Breast Surgery), the First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan 250014, China
| | - H Gu
- Department of General Surgery (Breast Surgery), the First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan 250014, China
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46
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Gu H, Ding W, Shi T, Ouyang Q, Yang X, Yue Y, Wang L. Integrated transcriptome and endogenous hormone analysis provides new insights into callus proliferation in Osmanthus fragrans. Sci Rep 2022; 12:7609. [PMID: 35534621 PMCID: PMC9085794 DOI: 10.1038/s41598-022-11801-9] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 04/22/2022] [Indexed: 11/09/2022] Open
Abstract
Osmanthus fragrans is an important evergreen species with both medicinal and ornamental value in China. Given the low efficiency of callus proliferation and the difficulty of adventitious bud differentiation, tissue culture and regeneration systems have not been successfully established for this species. To understand the mechanism of callus proliferation, transcriptome sequencing and endogenous hormone content determination were performed from the initial growth stages to the early stages of senescence on O. fragrans calli. In total, 47,340 genes were identified by transcriptome sequencing, including 1798 previously unidentified genes specifically involved in callus development. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of differentially expressed genes (DEGs) was significantly enriched in plant hormone signal transduction pathways. Furthermore, our results from the orthogonal projections to latent structures discrimination analysis (OPLS-DA) of six typical hormones in five development stages of O. fragrans calli showed jasmonic acid (JA) could play important role in the initial stages of calli growth, whereas JA and auxin (IAA) were dominant in the early stages of calli senescence. Based on the weighted gene co-expression network analysis, OfSRC2, OfPP2CD5 and OfARR1, OfPYL3, OfEIL3b were selected as hub genes from the modules with the significant relevance to JA and IAA respectively. The gene regulation network and quantitative real-time PCR implied that during the initial stages of callus growth, the transcription factors (TFs) OfERF4 and OfMYC2a could down-regulate the expression of hub genes OfSRC2 and OfPP2CD5, resulting in decreased JA content and rapid callus growth; during the late stage of callus growth, the TFs OfERF4, OfMYC2a and OfTGA21c, OfHSFA1 could positively regulate the expression of hub genes OfSRC2, OfPP2CD5 and OfARR1, OfPYL3, OfEIL3b, respectively, leading to increased JA and IAA contents and inducing the senescence of O. fragrans calli. Hopefully, our results could provide new insights into the molecular mechanism of the proliferation of O. fragrans calli.
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47
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Jiang A, Gu H, Feng Z, Ding Y, Xu X, Yin G, Zhang W, Shen Z, Li Q. Heart rate-corrected QT interval: A novel diagnostic biomarker for diabetic peripheral neuropathy. J Diabetes Investig 2022; 13:850-857. [PMID: 34932277 PMCID: PMC9077736 DOI: 10.1111/jdi.13738] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/15/2021] [Accepted: 12/17/2021] [Indexed: 11/28/2022] Open
Abstract
AIMS/INTRODUCTION To explore the relationship between heart rate-corrected QT (QTc) interval and diabetic peripheral neuropathy (DPN), and whether QTc interval has diagnostic utility for DPN beyond nerve conduction velocity. MATERIALS AND METHODS A total of 965 patients with diabetes, including 473 patients with DPN and 492 patients without DPN, underwent standard 12-lead electrocardiography and detailed assessments of peripheral neuropathy. RESULTS Patients with DPN had longer QTc intervals than those without. Among participants, from the first to fourth quartile of QTc interval, the proportion of patients with DPN appreciably increased and the nerve conduction velocity obviously decreased (P for trend <0.001). The univariate and multivariate analyses showed that prolonged QTc interval was closely associated with increased risk of DPN (univariable odds ratio 1.112, 95% confidence interval 1.097-1.127, P < 0.001; multivariable odds ratio 1.118, 95% confidence interval 1.099-1.137, P < 0.001). Receiver operating characteristic analysis for the diagnosis of DPN showed a greater area under the curve for QTc interval of 0.894 than the median nerve motor conduction velocity of 0.691, median nerve sensory conduction velocity of 0.664 and peroneal nerve motor conduction velocity of 0.692. The optimal cut-off point of QTc interval for DPN was 428.5 ms with sensitivity of 0.715 and specificity of 0.920 (P < 0.001). The combination of QTc interval and nerve conduction testing increased the area under the curve for the diagnosis of DPN (from 0.736 to 0.916; P < 0.001). CONCLUSIONS QTc interval with 428.5 ms has more reliable diagnostic utility for DPN than nerve conduction velocity, and prolonged QTc interval is closely associated with an increased risk of DPN.
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Affiliation(s)
- Ai‐jun Jiang
- Department of Endocrinology, Nanjing First HospitalNanjing Medical UniversityNanjingChina
| | - Heng Gu
- Nanjing Medical UniversityNanjingChina
| | - Zhan‐rong Feng
- Department of EndocrinologyShuyang Hospital of Traditional Chinese MedicineSuqianChina
| | - Ying Ding
- Department of EndocrinologyShuyang Hospital of Traditional Chinese MedicineSuqianChina
| | - Xiao‐hua Xu
- Department of Endocrinology, Nanjing First HospitalNanjing Medical UniversityNanjingChina
| | - Guo‐ping Yin
- Department of Endocrinology, Nanjing First HospitalNanjing Medical UniversityNanjingChina
| | - Wen‐li Zhang
- Department of Endocrinology, Nanjing First HospitalNanjing Medical UniversityNanjingChina
| | - Zi‐yang Shen
- Department of Endocrinology, Nanjing First HospitalNanjing Medical UniversityNanjingChina
| | - Qian Li
- Department of Endocrinology, Nanjing First HospitalNanjing Medical UniversityNanjingChina
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Hong J, Gu H, Chun S, Kim M, Sofianidis A, Klopprogge K. M041 Comparability of selected assays on COBAS pure integrated solutions under routine-like conditions. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Gu H, Yao Q, Chen H, Ding Z, Zhao X, Liu H, Feng Y, Li C, Li X. The effect of mental schema evolution on mental workload measurement: an EEG study with simulated quadrotor UAV operation. J Neural Eng 2022; 19. [PMID: 35439750 DOI: 10.1088/1741-2552/ac6828] [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: 01/20/2022] [Accepted: 04/18/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Mental workload is the result of the interactions between the demands of an operation task and the skills, behavior and perception of the performer. Working under a high mental workload can significantly affect an operator's ability to choose optimal decisions. However, the effect of mental schema, which reflects the level of expertise of an operator, on mental workload remains unclear. Here, we propose a theoretical framework for describing how the evolution of mental schema affects mental workload from the perspective of cognitive processing. APPROACH we recruited 51 students to participate in a 10-day simulated UAV flight training. The EEG PSD metrics were used to investigate the changes in neural responses caused by variations in the mental workload at different stages of mental schema evolution. MAIN RESULTS It was found that mental schema evolution influenced the direction and change trends of the frontal theta PSD, parietal alpha PSD, and central beta PSD. Initially, before the mental schema was formed, only the frontal theta PSD increased with increasing task difficulty; when the mental schema was initially being developed, the frontal theta PSD and the parietal alpha PSD decreased with increasing task difficulty, while the central beta PSD increased with increasing task difficulty. Finally, as the mental schema gradually matured, the trend of the three indicators did not change with increasing task difficulty. However, differences in the frontal PSD became more pronounced across task difficulty levels, while differences in the parietal PSD narrowed. SIGNIFICANCE Our results describe the relationship between the EEG power spectrum and the mental workload of UAV operators as the mental schema evolved. This suggests that EEG indicators can not only provide more accurate measurements of mental workload but also provide insights into the development of an operator's skill level.
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Affiliation(s)
- Heng Gu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China, Beijing, 100875, CHINA
| | - Qunli Yao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China, Beijing, 100875, CHINA
| | - He Chen
- Beijing Normal University, Beijing Normal University, Beijing, People's Republic of China, Beijing, 100875, CHINA
| | - Zhaohuan Ding
- Beijing Normal University, Beijing Normal University, Beijing, People's Republic of China, Beijing, 100875, CHINA
| | - Xiaochuan Zhao
- Institute of Computer Applied Technology of China North Industries Group Corporation Limited, Beijing, People's Republic of China, Beijing, 100089, CHINA
| | - Huapeng Liu
- Institute of Computer Applied Technology of China North Industries Group Corporation Limited, Beijing, People's Republic of China, Beijing, 100089, CHINA
| | - Yunduo Feng
- Institute of Computer Applied Technology of China North Industries Group Corporation Limited, Beijing, People's Republic of China, Beijing, 100089, CHINA
| | - Chen Li
- Institute of Computer Applied Technology of China North Industries Group Corporation Limited, Beijing, People's Republic of China, Beijing, 100089, CHINA
| | - Xiaoli Li
- Beijing Normal University, Beijing, People's Republic of China, Beijing, 100875, CHINA
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Qu Y, Lv Y, Ji S, Ding L, Zhao F, Zhu Y, Zhang W, Hu X, Lu Y, Li Y, Zhang X, Zhang M, Yang Y, Li C, Zhang M, Li Z, Chen C, Zheng L, Gu H, Zhu H, Sun Q, Cai J, Song S, Ying B, Lin S, Cao Z, Liang D, Ji JS, Ryan PB, Barr DB, Shi X. Effect of exposures to mixtures of lead and various metals on hypertension, pre-hypertension, and blood pressure: A cross-sectional study from the China National Human Biomonitoring. Environ Pollut 2022; 299:118864. [PMID: 35063540 DOI: 10.1016/j.envpol.2022.118864] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [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: 06/06/2021] [Revised: 01/14/2022] [Accepted: 01/15/2022] [Indexed: 06/14/2023]
Abstract
We aimed to explore the effects of mixtures of lead and various metals on blood pressure (BP) and the odds of pre-hypertension (systolic blood pressure (SBP) 120-139 mmHg, and/or diastolic blood pressure (DBP) 80-89 mmHg) and hypertension (SBP/DBP ≥140/90 mmHg) among Chinese adults in a cross-sectional study. This study included 11,037 adults aged 18 years or older from the 2017-2018 China National Human Biomonitoring. Average BP and 13 metals (lead, antimony, arsenic, cadmium, mercury, thallium, chromium, cobalt, molybdenum, manganese, nickel, selenium, and tin) in blood and urine were measured and lifestyle and demographic data were collected. Weighted multiple linear regressions were used to estimate associations of metals with BP in both single and multiple metal models. Weighted quantile sum (WQS) regression was performed to assess the relationship between metal mixture levels and BP. In the single metal model, after adjusting for potential confounding factors, the blood lead levels in the highest quartile were associated with the greater odds of both pre-hypertension (odds ratio (OR): 1.56, 95% CI: 1.22-1.99) and hypertension (OR:1.75, 95% CI: 1.28-2.40) when compared with the lowest quartile. We also found that blood arsenic levels were associated with increased odds of pre-hypertension (OR:1.31, 95% CI:1.00-1.74), while urinary molybdenum levels were associated with lower odds of hypertension (OR:0.68, 95% CI:0.50-0.93). No significant associations were found for the other 10 metals. WQS regression analysis showed that metal mixture levels in blood were significantly associated with higher SBP (β = 1.56, P < 0.05) and DBP (β = 1.56, P < 0.05), with the largest contributor being lead (49.9% and 66.8%, respectively). The finding suggests that exposure to mixtures of metals as measured in blood were positively associated with BP, and that lead exposure may play a critical role in hypertension development.
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Affiliation(s)
- Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Liang Ding
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Wenli Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Xiaojian Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Yifu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Xu Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Mingyuan Zhang
- School of Public Health, Jilin University, 2699 Qianjin Street, Changchun, Jilin, 130012, China
| | - Yanwei Yang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Chengcheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Miao Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Lei Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Huijuan Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Qi Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Shixun Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Bo Ying
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Shaobin Lin
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 201 Dowman Drive, Atlanta, GA, 30322, United States
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, 30 Shuangqing Street, Haidian, Beijing, 100084, China; Environmental Research Center, Duke Kunshan University, 8 Duke Avenue, Kunshan, Jiangsu, 215316, China; Nicholas School of the Environment, Duke University, 2080 Duke University Road, Durham, NC, 27708, United States
| | - P Barry Ryan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 201 Dowman Drive, Atlanta, GA, 30322, United States
| | - Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 201 Dowman Drive, Atlanta, GA, 30322, United States
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China.
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