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Wang Z, Li N, Xu Y, Wang W, Liu Y. Functional activity of endophytic bacteria G9H01 with high salt tolerance and anti-Magnaporthe oryzae that isolated from saline-alkali-tolerant rice. Sci Total Environ 2024; 926:171822. [PMID: 38521266 DOI: 10.1016/j.scitotenv.2024.171822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/24/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
It holds significant practical importance to screen and investigate endophytic bacteria with salt-tolerant activity in rice for the development of relevant microbial agents. A total of 179 strains of endophytic bacteria were isolated from 24 samples of salt-tolerant rice seeds, with almost 95 % of these bacteria exhibiting tolerance to a salt content of 2 % (0.34 mol/L). Following the screening process, a bacterium named G9H01 was identified, which demonstrated a salt tolerance of up to 15 % (2.57 mol/L) and resistance to Magnaporthe oryzae, the causal agent of rice blast disease. Phylogenetic analysis confirmed G9H01 as a strain of Bacillus paralicheniformis. The complete genome of G9H01 was sequenced and assembled, revealing a considerable number of genes encoding proteins associated with salt tolerance. Further analysis indicated that G9H01 may alleviate salt stress in a high-salt environment through various mechanisms. These mechanisms include the utilization of proteins such as K+ transporters, antiporters, and Na+/H+ antiporters, which are involved in K+ absorption and Na+ excretion. G9H01 also demonstrated the ability to uptake and accumulate betaine, as well as secrete extracellular polysaccharides. Collectively, these findings suggest that Bacillus paralicheniformis G9H01 has potential as a biocontrol agent, capable of promoting rice growth under saline-alkali-tolerant conditions.
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Affiliation(s)
- Zhishan Wang
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Ni Li
- State Key Laboratory of Hybrid Rice (Hunan Hybrid Rice Research Center), Changsha 410125, China
| | - Youqiang Xu
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China.
| | - Weiping Wang
- State Key Laboratory of Hybrid Rice (Hunan Hybrid Rice Research Center), Changsha 410125, China.
| | - Yang Liu
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
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2
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Liu Y, Su W, Liu Z, Hu Z, Shen J, Zheng Z, Ding D, Huang W, Li W, Cai G, Wei S, Li N, Fang X, Li H, Qin J, Zhang H, Xiao Y, Bi Y, Cui A, Zhang C, Li Y. Macrophage CREBZF Orchestrates Inflammatory Response to Potentiate Insulin Resistance and Type 2 Diabetes. Adv Sci (Weinh) 2024; 11:e2306685. [PMID: 38286660 PMCID: PMC10987118 DOI: 10.1002/advs.202306685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/23/2023] [Indexed: 01/31/2024]
Abstract
Chronic adipose tissue inflammation accompanied by macrophage accumulation and activation is implicated in the pathogenesis of insulin resistance and type 2 diabetes in humans. The transcriptional coregulator CREBZF is a key factor in hepatic metabolism, yet its role in modulating adipose tissue inflammation and type 2 diabetes remains elusive. The present study demonstrates that overnutrition-induced CREBZF links adipose tissue macrophage (ATM) proinflammatory activation to insulin resistance. CREBZF deficiency in macrophages, not in neutrophils, attenuates macrophage infiltration in adipose, proinflammatory activation, and hyperglycemia in diet-induced insulin-resistant mice. The coculture assays show that macrophage CREBZF deficiency improves insulin sensitivity in primary adipocytes and adipose tissue. Mechanistically, CREBZF competitively inhibits the binding of IκBα to p65, resulting in enhanced NF-κB activity. In addition, bromocriptine is identified as a small molecule inhibitor of CREBZF in macrophages, which suppresses the proinflammatory phenotype and improves metabolic dysfunction. Furthermore, CREBZF is highly expressed in ATM of obese humans and mice, which is positively correlated with proinflammatory genes and insulin resistance in humans. This study identifies a previously unknown role of CREBZF coupling ATM activation to systemic insulin resistance and type 2 diabetes.
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Affiliation(s)
- Yuxiao Liu
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Weitong Su
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Zhengshuai Liu
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Zhimin Hu
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Jiaxin Shen
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Zengpeng Zheng
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Dong Ding
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Wei Huang
- Department of Endocrinology and MetabolismThe Affiliated Hospital of Southwest Medical UniversityMetabolic Vascular Diseases Key Laboratory of Sichuan ProvinceLuzhouSichuan646000China
| | - Wenjing Li
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Genxiang Cai
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Shuang Wei
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Ni Li
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Xia Fang
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
- Department of Endocrinology and MetabolismThe Affiliated Hospital of Southwest Medical UniversityMetabolic Vascular Diseases Key Laboratory of Sichuan ProvinceLuzhouSichuan646000China
| | - Hong Li
- CAS Key Laboratory of Computational BiologyShanghai Institute of Nutrition and HealthChinese Academy of SciencesShanghai200031China
| | - Jun Qin
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Haibing Zhang
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Yan Bi
- Affiliated Drum Tower HospitalMedical School of Nanjing UniversityNanjingJiangsu210008China
| | - Aoyuan Cui
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Chunxiang Zhang
- Metabolic Vascular Disease Key Laboratory of Sichuan ProvinceThe Affiliated Hospital of Southwest Medical UniversityKey Laboratory of Medical ElectrophysiologyMinistry of EducationSouthwest Medical UniversityLuzhou646000China
| | - Yu Li
- CAS Key Laboratory of NutritionMetabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
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Chen D, Wang Y, Li N, Huang Y, Mao Y, Liu X, Du Y, Sun K. Transcriptomic and physiological analyses of Trichoderma citrinoviride HT-1 assisted phytoremediation of Cd contaminated water by Phragmites australis. BMC Microbiol 2024; 24:93. [PMID: 38515035 PMCID: PMC10956257 DOI: 10.1186/s12866-024-03252-1] [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: 01/03/2024] [Accepted: 03/07/2024] [Indexed: 03/23/2024] Open
Abstract
Plant growth promoting microbe assisted phytoremediation is considered a more effective approach to rehabilitation than the single use of plants, but underlying mechanism is still unclear. In this study, we combined transcriptomic and physiological methods to explore the mechanism of plant growth promoting microbe Trichoderma citrinoviride HT-1 assisted phytoremediation of Cd contaminated water by Phragmites australis. The results show that the strain HT-1 significantly promoted P. australis growth, increased the photosynthetic rate, enhanced antioxidant enzyme activities. The chlorophyll content and the activity of superoxide dismutase (SOD), peroxidase (POD), catalase (CAT) and ascorbate peroxidase (APX) were increased by 83.78%, 23.17%, 47.60%, 97.14% and 12.23% on average, and decreased the content of malondialdehyde (MDA) by 31.10%. At the same time, strain HT-1 improved the absorption and transport of Cd in P. australis, and the removal rate of Cd was increased by 7.56% on average. Transcriptome analysis showed that strain HT-1 induced significant up-regulated the expression of genes related to oxidative phosphorylation and ribosome pathways, and these upregulated genes promoted P. australis remediation efficiency and resistance to Cd stress. Our results provide a mechanistic understanding of plant growth promoting microbe assisted phytoremediation under Cd stress.
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Affiliation(s)
- DaWei Chen
- College of Life Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China
| | - YiHan Wang
- College of Life Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China
| | - Ni Li
- College of Life Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China
| | - YaLi Huang
- College of Life Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China
| | - YiFan Mao
- College of Life Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China
| | - XiaoJun Liu
- College of Life Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China
| | - YaRong Du
- Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, Ministry of Natural Resources, Lanzhou, 730046, China
| | - Kun Sun
- College of Life Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China.
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Li N, Hong M, Chen X, Sun W, Chen Z, Chen L, Li S, Ge H, Peng F. Influence of intracranial hemorrhage on clinical outcome in acute vertebrobasilar artery occlusion undergoing endovascular treatment. Rev Neurol (Paris) 2024:S0035-3787(24)00420-X. [PMID: 38453601 DOI: 10.1016/j.neurol.2024.01.003] [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: 08/06/2023] [Revised: 11/10/2023] [Accepted: 01/22/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND AND PURPOSE The effect of intracranial hemorrhage (ICH) on the outcome of patients with large-vessel occlusion undergoing endovascular treatment (EVT) has mainly focused on the anterior circulation. Knowledge of the relationship between ICH and outcomes in patients with acute vertebrobasilar artery occlusion (VBAO) receiving EVT is limited. We aimed to assess whether ICH is a prognostic marker for acute VBAO following EVT. METHODS Patients who underwent EVT for acute VBAO in the acute posterior circulation ischemic stroke (PERSIST) registry were included. All patients were classified as having no or any-ICH. Any-ICH was subdivided into asymptomatic and symptomatic ICH. A multivariate regression analysis was performed to evaluate the association between ICH and functional outcomes in patients with acute VBAO after receiving EVT. RESULTS Five hundred and forty-seven patients, including 107 patients with ICH (19.6%): 38 (7.0%) and 69 (12.6%) with symptomatic and asymptomatic ICH, respectively. After adjustment for potential confounders, any-ICH was independently associated with reduced chance of favorable outcome (OR 0.39, 95% CI 0.21-0.72, P=0.003), functional independence (OR 0.24, 95% CI 0.16-0.52, P<0.001), and excellent outcome (OR 0.34, 95% CI 0.15-0.75, P=0.008), and increased mortality risk (OR 2.14, 95% CI 1.30-3.51, P=0.003). Symptomatic ICH had a similar association. Moreover, asymptomatic ICH was a negative predictor of functional independence (OR 0.39, 95% CI 0.17-0.88, P=0.024). CONCLUSION Any- and symptomatic ICH were strongly associated with worse clinical outcomes and increased mortality in patients with acute VBAO who underwent EVT. Asymptomatic ICH was an inverse predictor of functional independence.
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Affiliation(s)
- N Li
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
| | - M Hong
- Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - X Chen
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - W Sun
- Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Z Chen
- Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - L Chen
- Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - S Li
- Department of Encephalopathy, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, China
| | - H Ge
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - F Peng
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
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Yan H, Zhang R, Yan G, Liu X, Li N, Chen Y. Validation of baicalein and oridonin as nonspecific SARS-CoV-2 main protease inhibitors. Phytother Res 2024; 38:1161-1164. [PMID: 37042347 DOI: 10.1002/ptr.7829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 04/13/2023]
Affiliation(s)
- Haohao Yan
- Institute for Drug Screening and Evaluation, Wannan Medical College, Wuhu, 241002, China
| | - Rui Zhang
- Institute for Drug Screening and Evaluation, Wannan Medical College, Wuhu, 241002, China
| | - Gangan Yan
- Institute for Drug Screening and Evaluation, Wannan Medical College, Wuhu, 241002, China
| | - Xiaoping Liu
- Institute for Drug Screening and Evaluation, Wannan Medical College, Wuhu, 241002, China
| | - Ni Li
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Yunyu Chen
- Institute for Drug Screening and Evaluation, Wannan Medical College, Wuhu, 241002, China
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Gao HX, Zhang NN, Zhou CJ, Jin L, Yang J, Huang S, Zhang M, Li N, Zhang YH, Duan YL. [Clinical study of 15 cases of primary non-immunodeficient central nervous system lymphoma in children]. Zhonghua Xue Ye Xue Za Zhi 2024; 45:190-194. [PMID: 38604797 DOI: 10.3760/cma.j.cn121090-20230904-00102] [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: 04/13/2024]
Abstract
Clinical data of 15 primary central nervous system lymphoma (PCNSL) children aged ≤18 years admitted to our hospital between May 2013 to May 2023 were retrospectively analyzed. Our goal was to summarize the clinical features of children and investigate the therapeutic effect of a high-dose methotrexate (HD-MTX) based chemotherapy regimen on this disease. The male-to-female ratio was 2.7∶1, and the median age was 7.2 (2.3-16.4) years at diagnosis. The initial clinical symptoms were primarily cranial hypertension, with imaging findings revealing multiple lesions. Pediatric PCNSL with normal immune function has a favorable prognosis with HD-MTX-based chemotherapy. Patients with a stable disease can be treated with minimal or no maintenance. HD-MTX-based chemotherapy remains effective when the disease progresses or recurs after an initial course of non-HD-MTX-based chemotherapy.
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Affiliation(s)
- H X Gao
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - N N Zhang
- Department of Imaging, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - C J Zhou
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - L Jin
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - J Yang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - S Huang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - M Zhang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - N Li
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - Y H Zhang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - Y L Duan
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Clinical Discipline of Pediatric Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
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7
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Peng ZY, Yang S, Lu HZ, Wang LM, Li N, Zhang HT, Xing SY, Du YN, Deng SQ. A review on Zika vaccine development. Pathog Dis 2024; 82:ftad036. [PMID: 38192053 PMCID: PMC10901608 DOI: 10.1093/femspd/ftad036] [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: 07/19/2023] [Revised: 12/15/2023] [Accepted: 01/05/2024] [Indexed: 01/10/2024] Open
Abstract
Zika virus (ZIKV), which belongs to the Flavivirus family, is mainly transmitted via the bite of Aedes mosquitoes. In newborns, ZIKV infection can cause severe symptoms such as microcephaly, while in adults, it can lead to Guillain‒Barré syndrome (GBS). Due to the lack of specific therapeutic methods against ZIKV, the development of a safe and effective vaccine is extremely important. Several potential ZIKV vaccines, such as live attenuated, inactivated, nucleic acid, viral vector, and recombinant subunit vaccines, have demonstrated promising outcomes in clinical trials involving human participants. Therefore, in this review, the recent developmental progress, advantages and disadvantages of these five vaccine types are examined, and practical recommendations for future development are provided.
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Affiliation(s)
- Zhe-Yu Peng
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Song Yang
- Institute of Agro-products Processing, Anhui Academy of Agricultural Sciences, Hefei 230031, Anhui, China
| | - Hong-Zheng Lu
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Lin-Min Wang
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Ni Li
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Hai-Ting Zhang
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Si-Yu Xing
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Yi-Nan Du
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Sheng-Qun Deng
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, the Key Laboratory of Zoon-oses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
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Tang W, Liu L, Huang Y, Zhao S, Wang J, Liang M, Jin Y, Zhou L, Liu Y, Tang Y, Xu Z, Zhang K, Tan F, Bi N, Wang Z, Wang F, Li N, Wu N. Opportunistic lung cancer screening with low-dose computed tomography in National Cancer Center of China: The first 14 years' experience. Cancer Med 2024; 13:e6914. [PMID: 38234199 PMCID: PMC10904962 DOI: 10.1002/cam4.6914] [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: 04/19/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND In China, over 50% of lung cancer cases occur in nonsmokers. Thus, identifying high-risk individuals for targeted lung cancer screening is crucial. Beyond age and smoking, determining other risk factors for lung cancer in the Asian population has become a focal point of research. Using 30,000 participants in the prospectively enrolled cohort at China's National Cancer Center (NCC) over the past 14 years, we categorized participants by risk, with an emphasis on nonsmoking females. MATERIALS AND METHODS Between November 2005 and December 2019, 31,431 individuals voluntarily underwent low-dose computed tomography (LDCT) scans for lung cancer screening at the NCC. We recorded details like smoking history, exposure to hazards, and family history of malignant tumors. Using the 2019 NCCN criteria, participants were categorized into high-, moderate-, and low-risk groups. Additionally, we separated non-high-risk groups into female never smokers (aged over 40) exposed to second-hand smoke (SHS) and others. Any positive results from initial scans were monitored per the I-ELCAP protocol (2006), and suspected malignancies were addressed through collaborative decisions between patients and physicians. We analyzed and compared the detection rates of positive results, confirmed lung cancers, and cancer stages across risk, age, and gender groups. RESULTS Out of 31,431 participants (55.9% male, 44.1% female), 3695 (11.8%) showed positive baseline LDCT scans with 197 (0.6%; 106 females, 91 males) confirmed as lung cancer cases pathologically. Malignancy rate by age was 0.1% among those aged under 40 years, 0.4% among those aged 40-49 years, 0.8% among those aged 50-59 years, and 1.2% among those aged 60 years and older. From the 25,763 participants (56.9% male, 43.1% female) who completed questionnaires, 1877 (7.3%) were categorized as high risk, 6500 (25.2%) as moderate risk, and 17,386 (67.5%) as low risk. Of the 23,886 in the non-high-risk category, 8041 (33.7%) were females over 40 years old exposed to SHS. The high-risk group showed the highest lung cancer detection rate at 1.4%. However, females exposed to SHS had a notably higher detection rate than the rest of the non-high-risk group (1.1% vs. 0.5%; p < 0.0001). In this cohort, 84.8% of the detected lung cancers were at an early stage. CONCLUSIONS In our study, using LDCT for lung cancer screening proved significant for high-risk individuals. For non-high-risk populations, LDCT screening could be considered for nonsmoking women with exposure to SHS.
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Affiliation(s)
- Wei Tang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Li Liu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yao Huang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shijun Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jianwei Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Min Liang
- Radiology DepartmentBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Yujing Jin
- Department Nuclear Medicine (PET‐CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Lina Zhou
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ying Liu
- Department Nuclear Medicine (PET‐CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yanyan Tang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhijian Xu
- Department of Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Kai Zhang
- Department of Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Nan Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhijie Wang
- CAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fei Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ning Wu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department Nuclear Medicine (PET‐CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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9
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Dickson CF, Hertel S, Tuckwell AJ, Li N, Ruan J, Al-Izzi SC, Ariotti N, Sierecki E, Gambin Y, Morris RG, Towers GJ, Böcking T, Jacques DA. The HIV capsid mimics karyopherin engagement of FG-nucleoporins. Nature 2024; 626:836-842. [PMID: 38267582 PMCID: PMC10881392 DOI: 10.1038/s41586-023-06969-7] [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: 03/23/2023] [Accepted: 12/13/2023] [Indexed: 01/26/2024]
Abstract
HIV can infect non-dividing cells because the viral capsid can overcome the selective barrier of the nuclear pore complex and deliver the genome directly into the nucleus1,2. Remarkably, the intact HIV capsid is more than 1,000 times larger than the size limit prescribed by the diffusion barrier of the nuclear pore3. This barrier in the central channel of the nuclear pore is composed of intrinsically disordered nucleoporin domains enriched in phenylalanine-glycine (FG) dipeptides. Through multivalent FG interactions, cellular karyopherins and their bound cargoes solubilize in this phase to drive nucleocytoplasmic transport4. By performing an in vitro dissection of the nuclear pore complex, we show that a pocket on the surface of the HIV capsid similarly interacts with FG motifs from multiple nucleoporins and that this interaction licences capsids to penetrate FG-nucleoporin condensates. This karyopherin mimicry model addresses a key conceptual challenge for the role of the HIV capsid in nuclear entry and offers an explanation as to how an exogenous entity much larger than any known cellular cargo may be able to non-destructively breach the nuclear envelope.
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Affiliation(s)
- C F Dickson
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - S Hertel
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - A J Tuckwell
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - N Li
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - J Ruan
- Electron Microscope Unit, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, Australia
| | - S C Al-Izzi
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- School of Physics, University of New South Wales, Sydney, New South Wales, Australia
| | - N Ariotti
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - E Sierecki
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Y Gambin
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - R G Morris
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- School of Physics, University of New South Wales, Sydney, New South Wales, Australia
| | - G J Towers
- Infection and Immunity, University College London, London, UK
| | - T Böcking
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - D A Jacques
- Department of Molecular Medicine, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia.
- EMBL Australia Node in Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia.
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Li N, van den Bergh JP, Boonen A, Wyers CE, Bours SPG, Hiligsmann M. Cost-effectiveness analysis of fracture liaison services: a Markov model using Dutch real-world data. Osteoporos Int 2024; 35:293-307. [PMID: 37783759 PMCID: PMC10837229 DOI: 10.1007/s00198-023-06924-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 09/19/2023] [Indexed: 10/04/2023]
Abstract
This study assessed the lifetime cost-effectiveness of a fracture liaison service (FLS) compared to no-FLS in the Netherlands from a societal perspective and suggested that FLS was cost-effective in patients with a recent fracture aged 50 years and older. The implementation of FLS could lead to lifetime health-economic benefits. INTRODUCTION The objective of this study was to investigate the lifetime cost-effectiveness of a fracture liaison service (FLS) compared to no-FLS in the Netherlands from a societal perspective and using real-world data. METHODS Annual fracture incidence, treatment scenarios as well as treatment initiation in the years 2017-2019 were collected from a large secondary care hospital in the Netherlands. An individual-level, state transition model was designed to simulate lifetime costs and quality-adjusted life years (QALYs). Treatment pathways were differentiated by gender, presence of osteoporosis and/or prevalent vertebral fracture, and treatment status. Results were presented as incremental cost-effectiveness ratios (ICER). Both one-way and probabilistic sensitivity analyses were conducted. RESULTS For patients with a recent fracture aged 50 years and older, the presence of an FLS was associated with a lifetime €45 higher cost and 0.11 additional QALY gained leading to an ICER of €409 per QALY gained, indicating FLS was cost-effective compared to no-FLS at the Dutch threshold of €20,000/QALY. The FLS remained cost-effectiveness across different age categories. Our findings were robust in all one-way sensitivity analyses, the higher the treatment initiation rate in FLS, the greater the cost-effective of FLS. Probabilistic sensitivity analyses revealed that FLS was cost-effective in 90% of the simulations at the threshold of €20,000/QALY, with women 92% versus men 84% by gender. CONCLUSION This study provides the first health-economic analysis of FLS in the Netherlands, suggesting the implementation of FLS could lead to lifetime health-economic benefits.
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Affiliation(s)
- N Li
- Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
| | - J P van den Bergh
- Department of Internal Medicine, Medical Centre, VieCuri, Venlo, The Netherlands
- School of Nutrition and Translational Research and Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - A Boonen
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - C E Wyers
- Department of Internal Medicine, Medical Centre, VieCuri, Venlo, The Netherlands
- School of Nutrition and Translational Research and Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - S P G Bours
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - M Hiligsmann
- Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
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Dong X, Du L, Luo Z, Xu Y, Wang C, Wang F, Cao W, Zhao L, Zheng Y, Zhu H, Xia C, Li J, Du M, Hang D, Ren J, Shi J, Shen H, Chen W, Li N, He J. Combining fecal immunochemical testing and questionnaire-based risk assessment in selecting participants for colonoscopy screening in the Chinese National Colorectal Cancer Screening Programs: A population-based cohort study. PLoS Med 2024; 21:e1004340. [PMID: 38386617 PMCID: PMC10883529 DOI: 10.1371/journal.pmed.1004340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 12/28/2023] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Screening reduces colorectal cancer (CRC) burden by allowing early resection of precancerous and cancerous lesions. An adequate selection of high-risk individuals and a high uptake rate for colonoscopy screening are critical to identifying people more likely to benefit from screening and allocating healthcare resources properly. We evaluated whether combining a questionnaire-based interview for risk factors with fecal immunochemical test (FIT) outcomes for high-risk assessment is more efficient and economical than a questionnaire-based interview-only strategy. METHODS AND FINDINGS In this multicenter, population-based, prospective cohort study, we enrolled community residents aged 40 to 74 years in 29 provinces across China. From 2016 to 2020, a total of 1,526,824 eligible participants were consecutively enrolled in the Cancer Screening Program in Urban China (CanSPUC) cohort, and 940,605 were enrolled in the Whole Life Cycle of Cancer Screening Program (WHOLE) cohort, with follow-up to December 31, 2022. The mean ages were 56.89 and 58.61 years in CanSPUC and WHOLE, respectively. In the WHOLE cohort, high-risk individuals were identified by combining questionnaire-based interviews to collect data on risk factors (demographics, diet history, family history of CRC, etc.) with FIT outcomes (RF-FIT strategy), whereas in the CanSPUC cohort, high-risk individuals were identified using only interview-based data on risk factors (RF strategy). The primary outcomes were participation rate and yield (detection rate of advanced neoplasm, early-stage detection rate of CRCs [stage I/II], screening yield per 10,000 invitees), which were reported for the entire population and for different gender and age groups. The secondary outcome was the cost per case detected. In total, 71,967 (7.65%) and 281,985 (18.47%) individuals were identified as high-risk and were invited to undergo colonoscopy in the RF-FIT group and RF group, respectively. The colonoscopy participation rate in the RF-FIT group was 26.50% (19,071 of 71,967) and in the RF group was 19.54% (55,106 of 281,985; chi-squared test, p < 0.001). A total of 102 (0.53%) CRCs and 2,074 (10.88%) advanced adenomas were detected by the RF-FIT, versus 90 (0.16%) and 3,593 (6.52%) by the RF strategy (chi-squared test, both p < 0.001). The early-stage detection rate using the RF-FIT strategy was significantly higher than that by the RF strategy (67.05% versus 47.95%, Fisher's exact test, p = 0.016). The cost per CRC detected was $24,849 by the RF-FIT strategy versus $55,846 by the RF strategy. A limitation of the study was lack of balance between groups with regard to family history of CRC (3.5% versus 0.7%). CONCLUSIONS Colonoscopy participation and screening yield were better with the RF-FIT strategy. The association with CRC incidence and mortality reduction should be evaluated after long-term follow-up.
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Affiliation(s)
- Xuesi Dong
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lingbin Du
- Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Zilin Luo
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongjie Xu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chenran Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liang Zhao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yadi Zheng
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongting Zhu
- Yongkang Center for Disease Control and Prevention, Yongkang, China
| | - Changfa Xia
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiang Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mulong Du
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Dong Hang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jiansong Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jufang Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhou Q, Yang F, Li N, Ren YF, Yu Y. Healing outcomes of open versus closed flap procedures for collagen membrane coverage following immediate dental implant placements with simultaneous guided tissue regeneration. J Dent 2024; 141:104735. [PMID: 37804939 DOI: 10.1016/j.jdent.2023.104735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/09/2023] Open
Abstract
OBJECTIVE To compare the outcomes of open healing to complete closure for collagen membrane coverage for immediate implant placements with simultaneous guided bone regeneration (GBR) in two retrospective cohorts. METHODS The subjects included 118 patients who received Bio-Gide® collagen membrane coverage for immediate implant placements and GBR in 20 anterior and 98 posterior teeth. For 58 patients, gingival flaps were released to achieve full coverage of collagen membrane (CC group). For 60 patients, no efforts were made to release the gingival flaps and collagen membrane was left exposed for open healing (OH group). Antibiotics and analgesics were prescribed for 7 days after surgery. The width of crestal open wounds were measured after surgery (W0), and at 1, 2 and 16 weeks (W16). Changes in bone mass were assessed by cone-beam computed tomography after implant placement and again at W16. Gingival and bone tissues over the implant cover screws were harvested and assessed for 16 patients in the OH group at W16. RESULTS No wound dehiscence occurred in the CC group from W0 to W16. Both the vertical and horizontal bone dimension changes were not significantly different between the OH and CC group. For the OH group, soft tissue was completely healed at W16 when the initial wound widths were ≤6 mm. For those with initial wound widths ≥ 7 mm, the cover screws were exposed in 5/16 patients at W16 but did not affect the final restorations. Tissue staining showed keratinized mucosa and new bone formation above the dental implant in the OH group. CONCLUSION Open healing achieved healing outcomes similar to those of complete closure for collagen membrane coverage following immediate implant placements. CLINICAL SIGNIFICANCE For immediate implant placement requiring bone grafting and collagen membrane coverage, it is unnecessary to release the gingival flaps or use tissue grafts to achieve full coverage of the crestal wounds. Open healing with exposed membrane could achieve similar outcomes with less pain and swelling.
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Affiliation(s)
- Qianrong Zhou
- Department of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Fei Yang
- Department of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ni Li
- The College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Yan-Fang Ren
- Eastman Institute for Oral Health, University of Rochester Medical Center, Rochester, NY 14620, USA.
| | - Youcheng Yu
- Department of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
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Wang C, Dong X, Tan F, Wu Z, Huang Y, Zheng Y, Luo Z, Xu Y, Zhao L, Li J, Zou K, Cao W, Wang F, Ren J, Shi J, Chen W, He J, Li N. Risk-Adapted Starting Age of Personalized Lung Cancer Screening: A Population-Based, Prospective Cohort Study in China. Chest 2024:S0012-3692(24)00042-4. [PMID: 38253312 DOI: 10.1016/j.chest.2024.01.031] [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: 04/13/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND The current one-size-fits-all screening strategy for lung cancer is not suitable for personalized screening. RESEARCH QUESTION What is the risk-adapted starting age of lung cancer screening with comprehensive consideration of risk factors? STUDY DESIGN AND METHODS The National Lung Cancer Screening program, a multicenter, population-based, prospective cohort study, was analyzed. Information on risk factor exposure was collected during the baseline risk assessment. A Cox proportional hazards model was used to estimate the association between risk factors and lung cancer incidence. Age-specific 10-year cumulative risk was calculated to determine the age at which individuals with various risk factors reached the equivalent risk level as individuals 50 years of age with active tobacco use and a ≥ 20 pack-year smoking history. RESULTS Of the 1,031,911 participants enrolled in this study, 3,908 demonstrated lung cancer after a median follow-up of 3.8 years. We identified seven risk factors for lung cancer, including pack-years of smoking, secondhand smoke exposure, family history of lung cancer in first-degree relatives, history of respiratory diseases, occupational hazardous exposure, BMI, and diabetes. The 10-year cumulative risk of lung cancer for people 50 years of age with active tobacco use and a ≥ 20 pack-year smoking history was 1.37%, which was treated as the risk threshold for screening. Individuals who never smoked and those with active tobacco use and a < 30-pack-years history of smoking reached the equivalent risk level 1 to 14 years later compared with the starting age of 50 years. Men with active tobacco use, a ≥ 30-pack-years history of smoking, and concurrent respiratory diseases or diabetes should be screened 1 year earlier at age of 49 years. INTERPRETATION The personalized risk-adapted starting ages for lung cancer screening, based on the principle of equal management of equal risk, can served as an optimized screening strategy to identify high-risk individuals.
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Affiliation(s)
- Chenran Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Xuesi Dong
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Zheng Wu
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen
| | - Yufei Huang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Yadi Zheng
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Zilin Luo
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Yongjie Xu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Liang Zhao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Jibin Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Kaiyong Zou
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Wei Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Fei Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Jiansong Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Jufang Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing; Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
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Li N, Fu QQ, Luo Y, Li MJ, Chen HL, Liao JM. [Application effects of rehabilitation care decision-making scheme based on case management model in severe burn patients]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2024; 40:78-86. [PMID: 38296240 DOI: 10.3760/cma.j.cn501225-20230905-00078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Objective: To explore the application effects of application of rehabilitation care decision-making scheme based on case management model in severe burn patients. Methods: The study was a non-randomized historical control study. Thirty patients who met the inclusion criteria and received routine rehabilitation nursing in the First Affiliated Hospital of Army Medical University (the Third Military Medical University, hereinafter referred to as the hospital) from April 2021 to March 2022 were included in routine rehabilitation nursing group (26 males and 4 females, aged 48.50 (31.75, 56.25) years), and 30 patients who met the inclusion criteria and received case management rehabilitation nursing in the hospital from April 2022 to March 2023 were included in case management rehabilitation nursing group (22 males and 8 females, aged 46.00 (36.75, 55.25) years). The length of intensive care unit (ICU) stay, total hospitalization day, and total hospitalization cost of the patients in two groups were recorded. At admission, convalescence, discharge, and 6 months after injury, the patients' life quality was evaluated by the concise burn specific health scale, the sleep quality was evaluated by the Pittsburgh sleep quality index, and the functional independence was evaluated by the functional independence rating scale. At convalescence, discharge, and 6 months after injury, the patients' scar status was evaluated by the Vancouver scar scale. At 6 months after injury, a third-party satisfaction questionnaire was used to investigate the efficacy satisfaction of patients. Results: The length of ICU stay and total hospitalization day of patients in case management rehabilitation nursing group were both significantly shorter than those in routine rehabilitation nursing group (with Z values of -1.97 and -1.99, respectively, P<0.05), and the total hospitalization cost was less than that in routine rehabilitation nursing group (Z=-1.99, P<0.05). At discharge and 6 months after injury, the life quality scores of patients in case management rehabilitation nursing group were significantly higher than those in routine rehabilitation nursing group (with t values of -3.19 and -4.43, respectively, P<0.05), while the sleep quality scores were significantly lower than those in routine rehabilitation nursing group (with Z values of -2.18 and -3.33, respectively, P<0.05). There were no statistically significant differences in cognitive function scores of functional independence of patients between the 2 groups at admission, convalescence, discharge, and 6 months after injury (P>0.05). The exercise function scores and total scores of functional independence of patients in case management rehabilitation nursing group at convalescence, discharge, and 6 months after injury were significantly higher than those in routine rehabilitation nursing group (with Z values of -4.37, -2.73, -4.10, -4.37, -2.64, and -4.06, respectively, P<0.05). The scar pigmentation scores of patients in case management rehabilitation nursing group at 6 months after injury were significantly lower than those in routine rehabilitation nursing group (Z=-2.05, P<0.05), and the scar vascularity scores of patients in case management rehabilitation nursing group at discharge and 6 months after injury in case management rehabilitation nursing group were significantly lower than those in routine rehabilitation nursing group (with Z values of -3.16 and -2.07, respectively, P<0.05). The scar pliability scores (with Z values of -3.16, -2.45, and -4.38, respectively, P<0.05), thickness scores (with Z values of -2.56, -2.35, and -4.70, respectively, P<0.05), and total scores (with Z values of -3.77, -3.04, and -3.13, respectively, P<0.05) of patients in case management rehabilitation nursing group at convalescence, discharge, and 6 months after injury were significantly lower than those in routine rehabilitation nursing group. At 6 months after injury, the efficacy satisfaction scores of patients in case management rehabilitation nursing group were 4.00 (3.00, 4.25), which were significantly higher than 3.00 (2.00, 4.00) in routine rehabilitation nursing group (Z=-2.72, P<0.05). Conclusions: The implementation of rehabilitation care decision-making scheme based on case management model can optimize the cost efficiency, improve the effectiveness of clinical treatment, and enhance the life quality and satisfaction of the curative effect of severe burn patients.
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Affiliation(s)
- N Li
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - Q Q Fu
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - Y Luo
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - M J Li
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - H L Chen
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - J M Liao
- Nursing Department, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
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Li N, Lei X, Cao Y, Liu L, Zhang Y, Ning Q, Gui L, Jin F. The effect of increasing the gaps between the front teeth on torque and intrusion control of the incisors for anterior retraction with clear aligners: a prospective study. BMC Oral Health 2024; 24:115. [PMID: 38243207 PMCID: PMC10799443 DOI: 10.1186/s12903-024-03867-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 01/05/2024] [Indexed: 01/21/2024] Open
Abstract
OBJECTIVE To investigate the effect of sequential distalization on increasing gaps in the maxillary anterior teeth, focusing on the control of torque and three-dimensional teeth movement during anterior retraction with clear aligners in extraction cases. METHODS We recruited 24 patients who were undergoing extraction bilateral maxillary first premolars with clear aligners. According to a predetermined increment in the spaces between the maxillary anterior teeth, the patients were divided into three groups: those with no gap (9 cases), a 0.5 mm gap (6 cases) and a 1.0 mm gap (9 cases). In each group, a 2.0 mm en-mass retraction was applied on the anterior teeth. Plaster casts of the upper full dentition were obtained both before and after a 2 mm retraction. The palatal folds were used to overlap each pair of models. The three-dimensional movement of the teeth and the change of torque for the anterior teeth were subsequently analyzed using Geomagic Studio 2014 software. RESULTS The change in torque in the groups with added gaps was significantly smaller than that in the group with no gaps (P < 0.05). There was no significant difference in this respect when comparing the group with a 0.5 mm gap added to the group with a 1.0 mm gap was added (P > 0.05). In the labial-lingual and vertical directions, the displacements of the central and lateral incisors were smaller in the groups with additional gaps compared to those in the groups without gaps (P < 0.05). However, there was no significant difference observed when comparing the group with a 0.5 mm added gap to the group with a 1.0 mm added gap (P > 0.05). Then, a comparison was made between the displacement of the second premolar to the second molar in the mesial-distal direction across all groups. The study revealed that the anchorage molars in the group without gaps demonstrated significantly smaller displacement compared to those in the group with additional gaps (P < 0.05). CONCLUSION Advantages were observed in controlling the torque of the anterior teeth and achieving a desired pattern closer to normal bodily movement by sequentially distalizing the maxillary anterior teeth gaps. Increasing the gaps between the maxillary anterior teeth also resulted in improved control of the vertical direction of the anterior teeth. However, this retraction strategy necessitates substantial protection of the anchorage molars.
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Affiliation(s)
- Ni Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China
| | - Xiao Lei
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China
| | - Yuan Cao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China
| | - Lu Liu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China
| | - Yanqi Zhang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China
| | - Qiang Ning
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China
| | - Linyuan Gui
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China
| | - Fang Jin
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an, China.
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Staplin N, Haynes R, Judge PK, Wanner C, Green JB, Emberson J, Preiss D, Mayne KJ, Ng SYA, Sammons E, Zhu D, Hill M, Stevens W, Wallendszus K, Brenner S, Cheung AK, Liu ZH, Li J, Hooi LS, Liu WJ, Kadowaki T, Nangaku M, Levin A, Cherney D, Maggioni AP, Pontremoli R, Deo R, Goto S, Rossello X, Tuttle KR, Steubl D, Petrini M, Seidi S, Landray MJ, Baigent C, Herrington WG, Abat S, Abd Rahman R, Abdul Cader R, Abdul Hafidz MI, Abdul Wahab MZ, Abdullah NK, Abdul-Samad T, Abe M, Abraham N, Acheampong S, Achiri P, Acosta JA, Adeleke A, Adell V, Adewuyi-Dalton R, Adnan N, Africano A, Agharazii M, Aguilar F, Aguilera A, Ahmad M, Ahmad MK, Ahmad NA, Ahmad NH, Ahmad NI, Ahmad Miswan N, Ahmad Rosdi H, Ahmed I, Ahmed S, Ahmed S, Aiello J, Aitken A, AitSadi R, Aker S, Akimoto S, Akinfolarin A, Akram S, Alberici F, Albert C, Aldrich L, Alegata M, Alexander L, Alfaress S, Alhadj Ali M, Ali A, Ali A, Alicic R, Aliu A, Almaraz R, Almasarwah R, Almeida J, Aloisi A, Al-Rabadi L, Alscher D, Alvarez P, Al-Zeer B, Amat M, Ambrose C, Ammar H, An Y, Andriaccio L, Ansu K, Apostolidi A, Arai N, Araki H, Araki S, Arbi A, Arechiga O, Armstrong S, Arnold T, Aronoff S, Arriaga W, Arroyo J, Arteaga D, Asahara S, Asai A, Asai N, Asano S, Asawa M, Asmee MF, Aucella F, Augustin M, Avery A, Awad A, Awang IY, Awazawa M, Axler A, Ayub W, Azhari Z, Baccaro R, Badin C, Bagwell B, Bahlmann-Kroll E, Bahtar AZ, Baigent C, Bains D, Bajaj H, Baker R, Baldini E, Banas B, Banerjee D, Banno S, Bansal S, Barberi S, Barnes S, Barnini C, Barot C, Barrett K, Barrios R, Bartolomei Mecatti B, Barton I, Barton J, Basily W, Bavanandan S, Baxter A, Becker L, Beddhu S, Beige J, Beigh S, Bell S, Benck U, Beneat A, Bennett A, Bennett D, Benyon S, Berdeprado J, Bergler T, Bergner A, Berry M, Bevilacqua M, Bhairoo J, Bhandari S, Bhandary N, Bhatt A, Bhattarai M, Bhavsar M, Bian W, Bianchini F, Bianco S, Bilous R, Bilton J, Bilucaglia D, Bird C, Birudaraju D, Biscoveanu M, Blake C, Bleakley N, Bocchicchia K, Bodine S, Bodington R, Boedecker S, Bolduc M, Bolton S, Bond C, Boreky F, Boren K, Bouchi R, Bough L, Bovan D, Bowler C, Bowman L, Brar N, Braun C, Breach A, Breitenfeldt M, Brenner S, Brettschneider B, Brewer A, Brewer G, Brindle V, Brioni E, Brown C, Brown H, Brown L, Brown R, Brown S, Browne D, Bruce K, Brueckmann M, Brunskill N, Bryant M, Brzoska M, Bu Y, Buckman C, Budoff M, Bullen M, Burke A, Burnette S, Burston C, Busch M, Bushnell J, Butler S, Büttner C, Byrne C, Caamano A, Cadorna J, Cafiero C, Cagle M, Cai J, Calabrese K, Calvi C, Camilleri B, Camp S, Campbell D, Campbell R, Cao H, Capelli I, Caple M, Caplin B, Cardone A, Carle J, Carnall V, Caroppo M, Carr S, Carraro G, Carson M, Casares P, Castillo C, Castro C, Caudill B, Cejka V, Ceseri M, Cham L, Chamberlain A, Chambers J, Chan CBT, Chan JYM, Chan YC, Chang E, Chang E, Chant T, Chavagnon T, Chellamuthu P, Chen F, Chen J, Chen P, Chen TM, Chen Y, Chen Y, Cheng C, Cheng H, Cheng MC, Cherney D, Cheung AK, Ching CH, Chitalia N, Choksi R, Chukwu C, Chung K, Cianciolo G, Cipressa L, Clark S, Clarke H, Clarke R, Clarke S, Cleveland B, Cole E, Coles H, Condurache L, Connor A, Convery K, Cooper A, Cooper N, Cooper Z, Cooperman L, Cosgrove L, Coutts P, Cowley A, Craik R, Cui G, Cummins T, Dahl N, Dai H, Dajani L, D'Amelio A, Damian E, Damianik K, Danel L, Daniels C, Daniels T, Darbeau S, Darius H, Dasgupta T, Davies J, Davies L, Davis A, Davis J, Davis L, Dayanandan R, Dayi S, Dayrell R, De Nicola L, Debnath S, Deeb W, Degenhardt S, DeGoursey K, Delaney M, Deo R, DeRaad R, Derebail V, Dev D, Devaux M, Dhall P, Dhillon G, Dienes J, Dobre M, Doctolero E, Dodds V, Domingo D, Donaldson D, Donaldson P, Donhauser C, Donley V, Dorestin S, Dorey S, Doulton T, Draganova D, Draxlbauer K, Driver F, Du H, Dube F, Duck T, Dugal T, Dugas J, Dukka H, Dumann H, Durham W, Dursch M, Dykas R, Easow R, Eckrich E, Eden G, Edmerson E, Edwards H, Ee LW, Eguchi J, Ehrl Y, Eichstadt K, Eid W, Eilerman B, Ejima Y, Eldon H, Ellam T, Elliott L, Ellison R, Emberson J, Epp R, Er A, Espino-Obrero M, Estcourt S, Estienne L, Evans G, Evans J, Evans S, Fabbri G, Fajardo-Moser M, Falcone C, Fani F, Faria-Shayler P, Farnia F, Farrugia D, Fechter M, Fellowes D, Feng F, Fernandez J, Ferraro P, Field A, Fikry S, Finch J, Finn H, Fioretto P, Fish R, Fleischer A, Fleming-Brown D, Fletcher L, Flora R, Foellinger C, Foligno N, Forest S, Forghani Z, Forsyth K, Fottrell-Gould D, Fox P, Frankel A, Fraser D, Frazier R, Frederick K, Freking N, French H, Froment A, Fuchs B, Fuessl L, Fujii H, Fujimoto A, Fujita A, Fujita K, Fujita Y, Fukagawa M, Fukao Y, Fukasawa A, Fuller T, Funayama T, Fung E, Furukawa M, Furukawa Y, Furusho M, Gabel S, Gaidu J, Gaiser S, Gallo K, Galloway C, Gambaro G, Gan CC, Gangemi C, Gao M, Garcia K, Garcia M, Garofalo C, Garrity M, Garza A, Gasko S, Gavrila M, Gebeyehu B, Geddes A, Gentile G, George A, George J, Gesualdo L, Ghalli F, Ghanem A, Ghate T, Ghavampour S, Ghazi A, Gherman A, Giebeln-Hudnell U, Gill B, Gillham S, Girakossyan I, Girndt M, Giuffrida A, Glenwright M, Glider T, Gloria R, Glowski D, Goh BL, Goh CB, Gohda T, Goldenberg R, Goldfaden R, Goldsmith C, Golson B, Gonce V, Gong Q, Goodenough B, Goodwin N, Goonasekera M, Gordon A, Gordon J, Gore A, Goto H, Goto S, Goto S, Gowen D, Grace A, Graham J, Grandaliano G, Gray M, Green JB, Greene T, Greenwood G, Grewal B, Grifa R, Griffin D, Griffin S, Grimmer P, Grobovaite E, Grotjahn S, Guerini A, Guest C, Gunda S, Guo B, Guo Q, Haack S, Haase M, Haaser K, Habuki K, Hadley A, Hagan S, Hagge S, Haller H, Ham S, Hamal S, Hamamoto Y, Hamano N, Hamm M, Hanburry A, Haneda M, Hanf C, Hanif W, Hansen J, Hanson L, Hantel S, Haraguchi T, Harding E, Harding T, Hardy C, Hartner C, Harun Z, Harvill L, Hasan A, Hase H, Hasegawa F, Hasegawa T, Hashimoto A, Hashimoto C, Hashimoto M, Hashimoto S, Haskett S, Hauske SJ, Hawfield A, Hayami T, Hayashi M, Hayashi S, Haynes R, Hazara A, Healy C, Hecktman J, Heine G, Henderson H, Henschel R, Hepditch A, Herfurth K, Hernandez G, Hernandez Pena A, Hernandez-Cassis C, Herrington WG, Herzog C, Hewins S, Hewitt D, Hichkad L, Higashi S, Higuchi C, Hill C, Hill L, Hill M, Himeno T, Hing A, Hirakawa Y, Hirata K, Hirota Y, Hisatake T, Hitchcock S, Hodakowski A, Hodge W, Hogan R, Hohenstatt U, Hohenstein B, Hooi L, Hope S, Hopley M, Horikawa S, Hosein D, Hosooka T, Hou L, Hou W, Howie L, Howson A, Hozak M, Htet Z, Hu X, Hu Y, Huang J, Huda N, Hudig L, Hudson A, Hugo C, Hull R, Hume L, Hundei W, Hunt N, Hunter A, Hurley S, Hurst A, Hutchinson C, Hyo T, Ibrahim FH, Ibrahim S, Ihana N, Ikeda T, Imai A, Imamine R, Inamori A, Inazawa H, Ingell J, Inomata K, Inukai Y, Ioka M, Irtiza-Ali A, Isakova T, Isari W, Iselt M, Ishiguro A, Ishihara K, Ishikawa T, Ishimoto T, Ishizuka K, Ismail R, Itano S, Ito H, Ito K, Ito M, Ito Y, Iwagaitsu S, Iwaita Y, Iwakura T, Iwamoto M, Iwasa M, Iwasaki H, Iwasaki S, Izumi K, Izumi K, Izumi T, Jaafar SM, Jackson C, Jackson Y, Jafari G, Jahangiriesmaili M, Jain N, Jansson K, Jasim H, Jeffers L, Jenkins A, Jesky M, Jesus-Silva J, Jeyarajah D, Jiang Y, Jiao X, Jimenez G, Jin B, Jin Q, Jochims J, Johns B, Johnson C, Johnson T, Jolly S, Jones L, Jones L, Jones S, Jones T, Jones V, Joseph M, Joshi S, Judge P, Junejo N, Junus S, Kachele M, Kadowaki T, Kadoya H, Kaga H, Kai H, Kajio H, Kaluza-Schilling W, Kamaruzaman L, Kamarzarian A, Kamimura Y, Kamiya H, Kamundi C, Kan T, Kanaguchi Y, Kanazawa A, Kanda E, Kanegae S, Kaneko K, Kaneko K, Kang HY, Kano T, Karim M, Karounos D, Karsan W, Kasagi R, Kashihara N, Katagiri H, Katanosaka A, Katayama A, Katayama M, Katiman E, Kato K, Kato M, Kato N, Kato S, Kato T, Kato Y, Katsuda Y, Katsuno T, Kaufeld J, Kavak Y, Kawai I, Kawai M, Kawai M, Kawase A, Kawashima S, Kazory A, Kearney J, Keith B, Kellett J, Kelley S, Kershaw M, Ketteler M, Khai Q, Khairullah Q, Khandwala H, Khoo KKL, Khwaja A, Kidokoro K, Kielstein J, Kihara M, Kimber C, Kimura S, Kinashi H, Kingston H, Kinomura M, Kinsella-Perks E, Kitagawa M, Kitajima M, Kitamura S, Kiyosue A, Kiyota M, Klauser F, Klausmann G, Kmietschak W, Knapp K, Knight C, Knoppe A, Knott C, Kobayashi M, Kobayashi R, Kobayashi T, Koch M, Kodama S, Kodani N, Kogure E, Koizumi M, Kojima H, Kojo T, Kolhe N, Komaba H, Komiya T, Komori H, Kon SP, Kondo M, Kondo M, Kong W, Konishi M, Kono K, Koshino M, Kosugi T, Kothapalli B, Kozlowski T, Kraemer B, Kraemer-Guth A, Krappe J, Kraus D, Kriatselis C, Krieger C, Krish P, Kruger B, Ku Md Razi KR, Kuan Y, Kubota S, Kuhn S, Kumar P, Kume S, Kummer I, Kumuji R, Küpper A, Kuramae T, Kurian L, Kuribayashi C, Kurien R, Kuroda E, Kurose T, Kutschat A, Kuwabara N, Kuwata H, La Manna G, Lacey M, Lafferty K, LaFleur P, Lai V, Laity E, Lambert A, Landray MJ, Langlois M, Latif F, Latore E, Laundy E, Laurienti D, Lawson A, Lay M, Leal I, Leal I, Lee AK, Lee J, Lee KQ, Lee R, Lee SA, Lee YY, Lee-Barkey Y, Leonard N, Leoncini G, Leong CM, Lerario S, Leslie A, Levin A, Lewington A, Li J, Li N, Li X, Li Y, Liberti L, Liberti ME, Liew A, Liew YF, Lilavivat U, Lim SK, Lim YS, Limon E, Lin H, Lioudaki E, Liu H, Liu J, Liu L, Liu Q, Liu WJ, Liu X, Liu Z, Loader D, Lochhead H, Loh CL, Lorimer A, Loudermilk L, Loutan J, Low CK, Low CL, Low YM, Lozon Z, Lu Y, Lucci D, Ludwig U, Luker N, Lund D, Lustig R, Lyle S, Macdonald C, MacDougall I, Machicado R, MacLean D, Macleod P, Madera A, Madore F, Maeda K, Maegawa H, Maeno S, Mafham M, Magee J, Maggioni AP, Mah DY, Mahabadi V, Maiguma M, Makita Y, Makos G, Manco L, Mangiacapra R, Manley J, Mann P, Mano S, Marcotte G, Maris J, Mark P, Markau S, Markovic M, Marshall C, Martin M, Martinez C, Martinez S, Martins G, Maruyama K, Maruyama S, Marx K, Maselli A, Masengu A, Maskill A, Masumoto S, Masutani K, Matsumoto M, Matsunaga T, Matsuoka N, Matsushita M, Matthews M, Matthias S, Matvienko E, Maurer M, Maxwell P, Mayne KJ, Mazlan N, Mazlan SA, Mbuyisa A, McCafferty K, McCarroll F, McCarthy T, McClary-Wright C, McCray K, McDermott P, McDonald C, McDougall R, McHaffie E, McIntosh K, McKinley T, McLaughlin S, McLean N, McNeil L, Measor A, Meek J, Mehta A, Mehta R, Melandri M, Mené P, Meng T, Menne J, Merritt K, Merscher S, Meshykhi C, Messa P, Messinger L, Miftari N, Miller R, Miller Y, Miller-Hodges E, Minatoguchi M, Miners M, Minutolo R, Mita T, Miura Y, Miyaji M, Miyamoto S, Miyatsuka T, Miyazaki M, Miyazawa I, Mizumachi R, Mizuno M, Moffat S, Mohamad Nor FS, Mohamad Zaini SN, Mohamed Affandi FA, Mohandas C, Mohd R, Mohd Fauzi NA, Mohd Sharif NH, Mohd Yusoff Y, Moist L, Moncada A, Montasser M, Moon A, Moran C, Morgan N, Moriarty J, Morig G, Morinaga H, Morino K, Morisaki T, Morishita Y, Morlok S, Morris A, Morris F, Mostafa S, Mostefai Y, Motegi M, Motherwell N, Motta D, Mottl A, Moys R, Mozaffari S, Muir J, Mulhern J, Mulligan S, Munakata Y, Murakami C, Murakoshi M, Murawska A, Murphy K, Murphy L, Murray S, Murtagh H, Musa MA, Mushahar L, Mustafa R, Mustafar R, Muto M, Nadar E, Nagano R, Nagasawa T, Nagashima E, Nagasu H, Nagelberg S, Nair H, Nakagawa Y, Nakahara M, 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Pessolano G, Petchey W, Petr EJ, Pfab T, Phelan P, Phillips R, Phillips T, Phipps M, Piccinni G, Pickett T, Pickworth S, Piemontese M, Pinto D, Piper J, Plummer-Morgan J, Poehler D, Polese L, Poma V, Pontremoli R, Postal A, Pötz C, Power A, Pradhan N, Pradhan R, Preiss D, Preiss E, Preston K, Prib N, Price L, Provenzano C, Pugay C, Pulido R, Putz F, Qiao Y, Quartagno R, Quashie-Akponeware M, Rabara R, Rabasa-Lhoret R, Radhakrishnan D, Radley M, Raff R, Raguwaran S, Rahbari-Oskoui F, Rahman M, Rahmat K, Ramadoss S, Ramanaidu S, Ramasamy S, Ramli R, Ramli S, Ramsey T, Rankin A, Rashidi A, Raymond L, Razali WAFA, Read K, Reiner H, Reisler A, Reith C, Renner J, Rettenmaier B, Richmond L, Rijos D, Rivera R, Rivers V, Robinson H, Rocco M, Rodriguez-Bachiller I, Rodriquez R, Roesch C, Roesch J, Rogers J, Rohnstock M, Rolfsmeier S, Roman M, Romo A, Rosati A, Rosenberg S, Ross T, Rossello X, Roura M, Roussel M, Rovner S, Roy S, Rucker S, Rump L, Ruocco M, Ruse S, Russo F, Russo M, Ryder M, 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Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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Wang X, Wei YX, Yan LJ, Qie DL, Shao LJ, Li N, Chen G. Risk factors for mortality in patients with tuberculosis admitted to intensive care units. Eur Rev Med Pharmacol Sci 2024; 28:822-828. [PMID: 38305625 DOI: 10.26355/eurrev_202401_35083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
OBJECTIVE The purpose of this study is to investigate the mortality of patients with tuberculosis (TB) who need to be admitted to the intensive care unit (ICU) and to analyze the risk factors for mortality. PATIENTS AND METHODS A retrospective analysis was conducted to collect clinical data of patients with TB who were hospitalized in the ICU at Hebei Chest Hospital between 2015 and 2020. Subsequent to data collection, a rigorous statistical analysis was conducted. RESULTS A total of 99 patients with TB were admitted to the ICU of Hebei Chest Hospital from 2015 to 2020. After 28 days, 78 of the 99 eligible participants in this study died, while 21 survived. The mortality rate of patients with TB in the ICU was 78.79%. There was a significant difference in the length of stay in ICU, shock, drug, acute physiology, and chronic health evaluation (APACHE) II, procalcitonin, C-reactive protein, and albumin (p < 0.05). Further analysis indicated that the length of stay in the ICU, shock, APACHE II, and albumin were considered independent risk factors for mortality. CONCLUSIONS In China, the mortality rate of patients with TB requiring admission to the ICU is very high. In these patients, a prolonged ICU stay, a high APACHE II score, the onset of shock in the ICU, and a low albumin level have a significant impact on the risk of mortality.
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Affiliation(s)
- X Wang
- Department of Respiratory Medicine, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.
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Jansson K, Jasim H, Jeffers L, Jenkins A, Jesky M, Jesus-Silva J, Jeyarajah D, Jiang Y, Jiao X, Jimenez G, Jin B, Jin Q, Jochims J, Johns B, Johnson C, Johnson T, Jolly S, Jones L, Jones L, Jones S, Jones T, Jones V, Joseph M, Joshi S, Judge P, Junejo N, Junus S, Kachele M, Kadowaki T, Kadoya H, Kaga H, Kai H, Kajio H, Kaluza-Schilling W, Kamaruzaman L, Kamarzarian A, Kamimura Y, Kamiya H, Kamundi C, Kan T, Kanaguchi Y, Kanazawa A, Kanda E, Kanegae S, Kaneko K, Kaneko K, Kang HY, Kano T, Karim M, Karounos D, Karsan W, Kasagi R, Kashihara N, Katagiri H, Katanosaka A, Katayama A, Katayama M, Katiman E, Kato K, Kato M, Kato N, Kato S, Kato T, Kato Y, Katsuda Y, Katsuno T, Kaufeld J, Kavak Y, Kawai I, Kawai M, Kawai M, Kawase A, Kawashima S, Kazory A, Kearney J, Keith B, Kellett J, Kelley S, Kershaw M, Ketteler M, Khai Q, Khairullah Q, Khandwala H, Khoo KKL, Khwaja A, Kidokoro K, Kielstein J, Kihara M, Kimber C, Kimura S, Kinashi H, Kingston H, Kinomura M, Kinsella-Perks E, Kitagawa M, Kitajima M, Kitamura S, Kiyosue A, Kiyota M, Klauser F, Klausmann G, Kmietschak W, Knapp K, Knight C, Knoppe A, Knott C, Kobayashi M, Kobayashi R, Kobayashi T, Koch M, Kodama S, Kodani N, Kogure E, Koizumi M, Kojima H, Kojo T, Kolhe N, Komaba H, Komiya T, Komori H, Kon SP, Kondo M, Kondo M, Kong W, Konishi M, Kono K, Koshino M, Kosugi T, Kothapalli B, Kozlowski T, Kraemer B, Kraemer-Guth A, Krappe J, Kraus D, Kriatselis C, Krieger C, Krish P, Kruger B, Ku Md Razi KR, Kuan Y, Kubota S, Kuhn S, Kumar P, Kume S, Kummer I, Kumuji R, Küpper A, Kuramae T, Kurian L, Kuribayashi C, Kurien R, Kuroda E, Kurose T, Kutschat A, Kuwabara N, Kuwata H, La Manna G, Lacey M, Lafferty K, LaFleur P, Lai V, Laity E, Lambert A, Landray MJ, Langlois M, Latif F, Latore E, Laundy E, Laurienti D, Lawson A, Lay M, Leal I, Leal I, Lee AK, Lee J, Lee KQ, Lee R, Lee SA, Lee YY, Lee-Barkey Y, Leonard N, Leoncini G, Leong CM, Lerario S, Leslie A, Levin A, Lewington A, Li J, Li N, Li X, Li Y, Liberti L, Liberti ME, Liew A, Liew YF, Lilavivat U, Lim SK, Lim YS, Limon E, Lin H, Lioudaki E, Liu H, Liu J, Liu L, Liu Q, Liu WJ, Liu X, Liu Z, Loader D, Lochhead H, Loh CL, Lorimer A, Loudermilk L, Loutan J, Low CK, Low CL, Low YM, Lozon Z, Lu Y, Lucci D, Ludwig U, Luker N, Lund D, Lustig R, Lyle S, Macdonald C, MacDougall I, Machicado R, MacLean D, Macleod P, Madera A, Madore F, Maeda K, Maegawa H, Maeno S, Mafham M, Magee J, Maggioni AP, Mah DY, Mahabadi V, Maiguma M, Makita Y, Makos G, Manco L, Mangiacapra R, Manley J, Mann P, Mano S, Marcotte G, Maris J, Mark P, Markau S, Markovic M, Marshall C, Martin M, Martinez C, Martinez S, Martins G, Maruyama K, Maruyama S, Marx K, Maselli A, Masengu A, Maskill A, Masumoto S, Masutani K, Matsumoto M, Matsunaga T, Matsuoka N, Matsushita M, Matthews M, Matthias S, Matvienko E, Maurer M, Maxwell P, Mayne KJ, Mazlan N, Mazlan SA, Mbuyisa A, McCafferty K, McCarroll F, McCarthy T, McClary-Wright C, McCray K, McDermott P, McDonald C, McDougall R, McHaffie E, McIntosh K, McKinley T, McLaughlin S, McLean N, McNeil L, Measor A, Meek J, Mehta A, Mehta R, Melandri M, Mené P, Meng T, Menne J, Merritt K, Merscher S, Meshykhi C, Messa P, Messinger L, Miftari N, Miller R, Miller Y, Miller-Hodges E, Minatoguchi M, Miners M, Minutolo R, Mita T, Miura Y, Miyaji M, Miyamoto S, Miyatsuka T, Miyazaki M, Miyazawa I, Mizumachi R, Mizuno M, Moffat S, Mohamad Nor FS, Mohamad Zaini SN, Mohamed Affandi FA, Mohandas C, Mohd R, Mohd Fauzi NA, Mohd Sharif NH, Mohd Yusoff Y, Moist L, Moncada A, Montasser M, Moon A, Moran C, Morgan N, Moriarty J, Morig G, Morinaga H, Morino K, Morisaki T, Morishita Y, Morlok S, Morris A, Morris F, Mostafa S, Mostefai Y, Motegi M, Motherwell N, Motta D, Mottl A, Moys R, Mozaffari S, Muir J, Mulhern J, Mulligan S, Munakata Y, Murakami C, Murakoshi M, Murawska A, Murphy K, Murphy L, Murray S, Murtagh H, Musa MA, Mushahar L, Mustafa R, Mustafar R, Muto M, Nadar E, Nagano R, Nagasawa T, Nagashima E, Nagasu H, Nagelberg S, Nair H, Nakagawa Y, Nakahara M, Nakamura J, Nakamura R, Nakamura T, Nakaoka M, Nakashima E, Nakata J, Nakata M, Nakatani S, Nakatsuka A, Nakayama Y, Nakhoul G, Nangaku M, Naverrete G, Navivala A, Nazeer I, Negrea L, Nethaji C, Newman E, Ng SYA, Ng TJ, Ngu LLS, Nimbkar T, Nishi H, Nishi M, Nishi S, Nishida Y, Nishiyama A, Niu J, Niu P, Nobili G, Nohara N, Nojima I, Nolan J, Nosseir H, Nozawa M, Nunn M, Nunokawa S, Oda M, Oe M, Oe Y, Ogane K, Ogawa W, Ogihara T, Oguchi G, Ohsugi M, Oishi K, Okada Y, Okajyo J, Okamoto S, Okamura K, Olufuwa O, Oluyombo R, Omata A, Omori Y, Ong LM, Ong YC, Onyema J, Oomatia A, Oommen A, Oremus R, Orimo Y, Ortalda V, Osaki Y, Osawa Y, Osmond Foster J, O'Sullivan A, Otani T, Othman N, Otomo S, O'Toole J, Owen L, Ozawa T, Padiyar A, Page N, Pajak S, Paliege A, Pandey A, Pandey R, Pariani H, Park J, Parrigon M, Passauer J, Patecki M, Patel M, Patel R, Patel T, Patel Z, Paul R, Paul R, Paulsen L, Pavone L, Peixoto A, Peji J, Peng BC, Peng K, Pennino L, Pereira E, Perez E, Pergola P, Pesce F, Pessolano G, Petchey W, Petr EJ, Pfab T, Phelan P, Phillips R, Phillips T, Phipps M, Piccinni G, Pickett T, Pickworth S, Piemontese M, Pinto D, Piper J, Plummer-Morgan J, Poehler D, Polese L, Poma V, Pontremoli R, Postal A, Pötz C, Power A, Pradhan N, Pradhan R, Preiss D, Preiss E, Preston K, Prib N, Price L, Provenzano C, Pugay C, Pulido R, Putz F, Qiao Y, Quartagno R, Quashie-Akponeware M, Rabara R, Rabasa-Lhoret R, Radhakrishnan D, Radley M, Raff R, Raguwaran S, Rahbari-Oskoui F, Rahman M, Rahmat K, Ramadoss S, Ramanaidu S, Ramasamy S, Ramli R, Ramli S, Ramsey T, Rankin A, Rashidi A, Raymond L, Razali WAFA, Read K, Reiner H, Reisler A, Reith C, Renner J, Rettenmaier B, Richmond L, Rijos D, Rivera R, Rivers V, Robinson H, Rocco M, Rodriguez-Bachiller I, Rodriquez R, Roesch C, Roesch J, Rogers J, Rohnstock M, Rolfsmeier S, Roman M, Romo A, Rosati A, Rosenberg S, Ross T, Rossello X, Roura M, Roussel M, Rovner S, Roy S, Rucker S, Rump L, Ruocco M, Ruse S, Russo F, Russo M, Ryder M, Sabarai A, Saccà C, Sachson R, Sadler E, Safiee NS, Sahani M, Saillant A, Saini J, Saito C, Saito S, Sakaguchi K, Sakai M, Salim H, Salviani C, Sammons E, Sampson A, Samson F, Sandercock P, Sanguila S, Santorelli G, Santoro D, Sarabu N, Saram T, Sardell R, Sasajima H, Sasaki T, Satko S, Sato A, Sato D, Sato H, Sato H, Sato J, Sato T, Sato Y, Satoh M, Sawada K, Schanz M, Scheidemantel F, Schemmelmann M, Schettler E, Schettler V, Schlieper GR, Schmidt C, Schmidt G, Schmidt U, Schmidt-Gurtler H, Schmude M, Schneider A, Schneider I, Schneider-Danwitz C, Schomig M, Schramm T, Schreiber A, Schricker S, Schroppel B, Schulte-Kemna L, Schulz E, Schumacher B, Schuster A, Schwab A, Scolari F, Scott A, Seeger W, Seeger W, Segal M, Seifert L, Seifert M, Sekiya M, Sellars R, Seman MR, Shah S, Shah S, Shainberg L, Shanmuganathan M, Shao F, Sharma K, Sharpe C, Sheikh-Ali M, Sheldon J, Shenton C, Shepherd A, Shepperd M, Sheridan R, Sheriff Z, Shibata Y, Shigehara T, Shikata K, Shimamura K, Shimano H, Shimizu Y, Shimoda H, Shin K, Shivashankar G, Shojima N, Silva R, Sim CSB, Simmons K, Sinha S, Sitter T, Sivanandam S, Skipper M, Sloan K, Sloan L, Smith R, Smyth J, Sobande T, Sobata M, Somalanka S, Song X, Sonntag F, Sood B, Sor SY, Soufer J, Sparks H, Spatoliatore G, Spinola T, Squyres S, Srivastava A, Stanfield J, Staplin N, Staylor K, Steele A, Steen O, Steffl D, Stegbauer J, Stellbrink C, Stellbrink E, Stevens W, Stevenson A, Stewart-Ray V, Stickley J, Stoffler D, Stratmann B, Streitenberger S, Strutz F, Stubbs J, Stumpf J, Suazo N, Suchinda P, Suckling R, Sudin A, Sugamori K, Sugawara H, Sugawara K, Sugimoto D, Sugiyama H, Sugiyama H, Sugiyama T, Sullivan M, Sumi M, Suresh N, Sutton D, Suzuki H, Suzuki R, Suzuki Y, Suzuki Y, Suzuki Y, Swanson E, Swift P, Syed S, Szerlip H, Taal M, Taddeo M, Tailor C, Tajima K, Takagi M, Takahashi K, Takahashi K, Takahashi M, Takahashi T, Takahira E, Takai T, Takaoka M, Takeoka J, Takesada A, Takezawa M, Talbot M, Taliercio J, Talsania T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Fu WT, Zhu QK, Li N, Wang YQ, Deng SL, Chen HP, Shen J, Meng LY, Bian Z. Clinically Oriented CBCT Periapical Lesion Evaluation via 3D CNN Algorithm. J Dent Res 2024; 103:5-12. [PMID: 37968798 DOI: 10.1177/00220345231201793] [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] [Indexed: 11/17/2023] Open
Abstract
Apical periodontitis (AP) is one of the most prevalent disorders in dentistry. However, it can be underdiagnosed in asymptomatic patients. In addition, the perioperative evaluation of 3-dimensional (3D) lesion volume is of great clinical relevance, but the required slice-by-slice manual delineation method is time- and labor-intensive. Here, for quickly and accurately detecting and segmenting periapical lesions (PALs) associated with AP on cone beam computed tomography (CBCT) images, we proposed and geographically validated a novel 3D deep convolutional neural network algorithm, named PAL-Net. On the internal 5-fold cross-validation set, our PAL-Net achieved an area under the receiver operating characteristic curve (AUC) of 0.98. The algorithm also improved the diagnostic performance of dentists with varying levels of experience, as evidenced by their enhanced average AUC values (junior dentists: 0.89-0.94; senior dentists: 0.91-0.93), and significantly reduced the diagnostic time (junior dentists: 69.3 min faster; senior dentists: 32.4 min faster). Moreover, our PAL-Net achieved an average Dice similarity coefficient over 0.87 (0.85-0.88), which is superior or comparable to that of other existing state-of-the-art PAL segmentation algorithms. Furthermore, we validated the generalizability of the PAL-Net system using multiple external data sets from Central, East, and North China, showing that our PAL-Net has strong robustness. Our PAL-Net can help improve the diagnostic performance and speed of dentists working from CBCT images, provide clinically relevant volume information to dentists, and can potentially be applied in dental clinics, especially without expert-level dentists or radiologists.
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Affiliation(s)
- W T Fu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Cariology and Endodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Q K Zhu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - N Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Cariology and Endodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Y Q Wang
- Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - S L Deng
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, China
| | - H P Chen
- Xiangyang Stomatological Hospital; Affiliated Stomatological Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - J Shen
- Department of International VIP Dental Clinic, Tianjin Stomatological Hospital, School of Medicine, Nankai University, Tianjin, China
| | - L Y Meng
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Cariology and Endodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Z Bian
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Cariology and Endodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China
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Li WW, Li N, Ma K, Huang LQ, Sun CY, Li N, Zhang ZG. [The occurrence, precaution and treatment strategies of postoperative fecal incontinence in rectal and anal diseases]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:1196-1201. [PMID: 38110284 DOI: 10.3760/cma.j.cn441530-20231012-00129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
In the surgical treatment of hemorrhoids, rectal prolapse, rectal cancer, anal fissures, or anal fistulas, inadvertent damage to the nerves or muscles responsible for bowel control may potentially lead to varying degrees of fecal incontinence (FI). Surgeons need to conduct preoperative assessments based on the patient's individual condition to select an appropriate surgical plan, aiming to minimize the incidence of postoperative FI and improve the patient's postoperative quality of life as much as possible while effectively treating the disease. Additionally, the proficiency of the surgeon's skills, appropriate preoperative dietary adjustments for the patient, regular bowel habits, and exercises targeting the pelvic floor muscles all contribute to reducing the incidence of postoperative FI in patients. For patients who have already developed FI after surgery, on the basis of suitable diet, regular bowel habits, and medication, clinical practitioners can adopt such methods as biofeedback, pelvic floor muscle exercise, sacral nerve stimulation, percutaneous tibial nerve stimulation, acupuncture, injectable bulking agents, anal or vaginal inserts, transanal irrigation, surgical interventions, psychological support, etc., to individualized treatment for patients' conditions. This article, combining the literature, summarizes the current status of common diseases that may lead to postoperative FI. It elaborates on strategies for the prevention and treatment of postoperative FI, aiming to serve as a reference for peers in the field.
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Affiliation(s)
- W W Li
- Department of General Surgery, Xuzhou Clinical College Affiliated to Xuzhou Medical University, Xuzhou 221004, China
| | - N Li
- Department of Colorectal Surgery, Xuzhou Central Hospital, Xuzhou 221004, China
| | - K Ma
- Department of Colorectal Surgery, Xuzhou Central Hospital, Xuzhou 221004, China
| | - L Q Huang
- Department of Colorectal Surgery, Xuzhou Central Hospital, Xuzhou 221004, China
| | - C Y Sun
- Department of General Surgery, Xuzhou Clinical College Affiliated to Xuzhou Medical University, Xuzhou 221004, China
| | - N Li
- Graduate School, Bengbu Medical University, Bengbu 233030, China
| | - Z G Zhang
- Department of Colorectal Surgery, Xuzhou Central Hospital, Xuzhou 221004, China
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Zhu M, Lv J, Huang Y, Ma H, Li N, Wei X, Ji M, Ma Z, Song C, Wang C, Dai J, Tan F, Guo Y, Walters R, Millwood IY, Hung RJ, Christiani DC, Yu C, Jin G, Chen Z, Wei Q, Amos CI, Hu Z, Li L, Shen H. Ethnic differences of genetic risk and smoking in lung cancer: two prospective cohort studies. Int J Epidemiol 2023; 52:1815-1825. [PMID: 37676847 DOI: 10.1093/ije/dyad118] [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: 01/28/2023] [Accepted: 08/23/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND The role of genetic background underlying the disparity of relative risk of smoking and lung cancer between European populations and East Asians remains unclear. METHODS To assess the role of ethnic differences in genetic factors associated with smoking-related risk of lung cancer, we first constructed ethnic-specific polygenic risk scores (PRSs) to quantify individual genetic risk of lung cancer in Chinese and European populations. Then, we compared genetic risk and smoking as well as their interactions on lung cancer between two cohorts, including the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). We also evaluated the absolute risk reduction over a 5-year period. RESULTS Differences in compositions and association effects were observed between the Chinese-specific PRSs and European-specific PRSs, especially for smoking-related loci. The PRSs were consistently associated with lung cancer risk, but stronger associations were observed in smokers of the UKB [hazard ratio (HR) 1.26 vs 1.15, P = 0.028]. A significant interaction between genetic risk and smoking on lung cancer was observed in the UKB (RERI, 11.39 (95% CI, 7.01-17.94)], but not in the CKB. Obvious higher absolute risk was observed in nonsmokers of the CKB, and a greater absolute risk reduction was found in the UKB (10.95 vs 7.12 per 1000 person-years, P <0.001) by comparing heavy smokers with nonsmokers, especially for those at high genetic risk. CONCLUSIONS Ethnic differences in genetic factors and the high incidence of lung cancer in nonsmokers of East Asian ethnicity were involved in the disparity of smoking-related risk of lung cancer.
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Affiliation(s)
- Meng Zhu
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yanqian Huang
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoxia Wei
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Mengmeng Ji
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhimin Ma
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Ci Song
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Fengwei Tan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Robin Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - David C Christiani
- Department of Environmental Health, Harvard School of Public Health, Department of Medicine, Harvard Medical School/Massachusetts General Hospital, Boston, USA
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Guangfu Jin
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, USA
| | - Christopher I Amos
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, USA
| | - Zhibin Hu
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Hongbing Shen
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
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22
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Li N, Zhou YY, Lu M, Zhang YH, Lu B, Luo CY, Luo JH, Cai J, Chen HD, Dai M. [Participation rate and detection of colorectal neoplasms based on multi-round fecal immunochemical testing for colorectal cancer screening in the Chinese population]. Zhonghua Zhong Liu Za Zhi 2023; 45:1041-1050. [PMID: 38110312 DOI: 10.3760/cma.j.cn112152-20230221-00073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Objective: To evaluate the participation rate and detection of colorectal neoplasms based on annual fecal immunochemical testing (FIT) for three consecutive years in a population-based colorectal cancer screening program in China. Methods: Based on a population-based colorectal cancer screening program conducted from May 2018 to May 2021 in 6 centers in China, 7 793 eligible participants aged 50-74 were included and offered free FIT and colonoscopy (for those who were FIT-positive on initial screening). At baseline, all participants were invited to receive FIT. In subsequent screening rounds, only FIT-positive participants who did not undergo colonoscopy or FIT-negative participants were invited to have repeated FIT screening. FIT-positive participants were recommended to undertake colonoscopy and pathological examination (if abnormalities were found during colonoscopy). An overall of three rounds of annual FIT screening were conducted. The primary outcomes of the study were the participation rate of FIT screening, the compliance rate of colonoscopy for FIT-positive participants, and the detection rate of colorectal neoplasms. Results: Among the 7 793 participants included in this study, 3 310 (42.5%) were male, with age of (60.50±6.49) years. The overall participation rates for the first, second and third round of FIT screening were 94.0%(7 327/7 793), 86.8% (6 048/6 968) and 91.3% (6 113/6 693), respectively. Overall, 7 742 out of 7 793 participants (99.3%) attended at least one round of screening, and 5 163 out of 7 793 participants (66.3%) attended all three rounds of screening. The positivity rate was significantly higher in the first (14.6%, 1 071/7 327) round compared with the second (5.6%, 3 41/6 048) and third (5.5%, 3 39/6 113) screening rounds (P<0.001). The overall compliance rates of colonoscopy examination among FIT-positive subjects were over 70% in three rounds, which were 76.3% (817/1 071), 75.7% (258/341) and 71.7% (243/339), respectively. In a multivariate logistic regression model considering factors including sex, education background, smoking, alcohol drinking, previous colonoscopy examination, colonic polyp history and family history of colorectal cancer among first-degree relatives, gender and smoking status were related factors affecting the participation rate of FIT screening, with higher rate in males and non-smokers. In addition, logistic regression analysis also found that age was negatively correlated with the compliance rate of colonoscopy in FIT positive patients. The detection rate of advanced tumors (colorectal cancer + advanced adenoma) declined from the first round to subsequent rounds [1st round: 1.15% (90/7 793); 2nd round: 0.57% (40/6 968); and 3rd round: 0.58% (39/6 693)], however, the positive predictive value for advanced neoplasms increased round by round, and was 11.02% in the first screening round, 15.50% in the second screening round, and 16.05 % in the third screening round. In each screening round, the detection rate for advanced neoplasms was higher in men than that in women, and increased with age. Conclusions: Annual repeated FIT screening has high acceptance and satisfying detection rates in the Chinese population. To optimize and improve the effectiveness of colorectal cancer screening, multi-round repeated FIT screening should be implemented while ensuring high participation rates.
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Affiliation(s)
- N Li
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - Y Y Zhou
- Center for Prevention and Early Intervention, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - M Lu
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - Y H Zhang
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - B Lu
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - C Y Luo
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - J H Luo
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - J Cai
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - H D Chen
- Center for Prevention and Early Intervention, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - M Dai
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
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23
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Wang H, Li Y, Lei L, Liu C, Chen W, Dai M, Wang X, Lew J, Shi J, Li N, He J. Estimating the economic burden of colorectal cancer in China, 2019-2030: A population-level prevalence-based analysis. Cancer Med 2023; 13:e6787. [PMID: 38112048 PMCID: PMC10807552 DOI: 10.1002/cam4.6787] [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: 08/17/2023] [Accepted: 11/23/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is one of the most common cancers worldwide. Comprehensive data on the economic burden of CRC at a population-level is critical in informing policymaking, but such data are currently limited in China. METHODS From a societal perspective, the economic burden of CRC in 2019 was estimated, including direct medical and nonmedical expenditure, disability, and premature-death-related indirect expenditure. Data on disease burden was taken from the GBD 2019 and analyzed using a prevalence-based approach. The per-person direct expenditure and work loss days were from a multicenter study; the premature-death-related expenditure was estimated using a human capital approach. Projections were conducted in different simulated scenarios. All expenditure data were in Chinese Yuan (CNY) and discounted to 2019. RESULTS In 2019, the estimated overall economic burden of CRC in China was CNY170.5 billion (0.189% of the local GDP). The direct expenditure was CNY106.4 billion (62.4% of the total economic burden), 91.4% of which was a direct medical expenditure. The indirect expenditure was CNY64.1 billion, of which 63.7% was related to premature death. The predicted burden would reach CNY560.0 billion in 2030 given constant trends for disease burden; however, it would be alternatively reduced to CONCLUSIONS The population-level economic burden of CRC in China in 2019 seemed noteworthy, with the direct expenditure accounting for more than half. Without effectively reducing exposure to modifiable factors and expanding screening coverage, the burden would continue increasing.
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Affiliation(s)
- Hong Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Cancer EpidemiologyThe Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
| | - Yan‐Jie Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Lin Lei
- Department of Cancer Control and PreventionShenzhen Center for Chronic Disease ControlShenzhenChina
| | - Cheng‐Cheng Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Wan‐Qing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and ImplementChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Min Dai
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xin Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jie‐Bin Lew
- The Daffodil CentreThe University of Sydney, a Joint Venture with Cancer Council New South WalesSydneyAustralia
| | - Ju‐Fang Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and ImplementChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and ImplementChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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24
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Yu H, Chen H, Li N, Yang CJ, Xiao HY, Chen G, Huang GH. Flexible changes to the Heliothis virescens ascovirus 3h (HvAV-3h) virion components affect pathogenicity against different host larvae species. Microbiol Spectr 2023; 11:e0248823. [PMID: 37943038 PMCID: PMC10714839 DOI: 10.1128/spectrum.02488-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/30/2023] [Indexed: 11/10/2023] Open
Abstract
IMPORTANCE Different pathogenic processes of a virus in different hosts are related to the host individual differences, which makes the virus undergoes different survival pressures. Here, we found that the virions of an insect virus, Heliothis virescens ascovirus 3h (HvAV-3h), had different protein composition when they were purified from different host larval species. These "adaptive changes" of the virions were analyzed in detail in this study, which mainly included the differences of the protein composition of virions and the differences in affinity between virions and different host proteins. The results of this study revealed the flexible changes of viruses to help themselves adapt to different hosts. Also, these interesting findings can provide new insights to improve our understanding of virus adaptability and virulence differentiation caused by the adaptation process.
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Affiliation(s)
- Huan Yu
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha, Hunan, China
| | - Hong Chen
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha, Hunan, China
| | - Ni Li
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha, Hunan, China
| | - Chang-Jin Yang
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha, Hunan, China
- Agriculture and Rural Bureau of Xinhuang Dong Autonomous County, Huaihua, Hunan, China
| | - Hua-Yan Xiao
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha, Hunan, China
| | - Gong Chen
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha, Hunan, China
| | - Guo-Hua Huang
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha, Hunan, China
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25
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Wang LM, Li N, Zhang M, Tang Q, Lu HZ, Zhou QY, Niu JX, Xiao L, Peng ZY, Zhang C, Liu M, Wang DQ, Deng SQ. Correction: The sex pheromone heptacosane enhances the mating competitiveness of sterile Aedes aegypti males. Parasit Vectors 2023; 16:452. [PMID: 38082451 PMCID: PMC10712090 DOI: 10.1186/s13071-023-06078-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024] Open
Affiliation(s)
- Lin-Min Wang
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Ni Li
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Mao Zhang
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Qi Tang
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Hong-Zheng Lu
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Qing-Ya Zhou
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Jia-Xuan Niu
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Liang Xiao
- Department of Radiotherapy, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhe-Yu Peng
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Chao Zhang
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Miao Liu
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China.
| | - Duo-Quan Wang
- Chinese Center for Disease Control and Prevention, National Institute of Parasitic Diseases, Shanghai, China.
| | - Sheng-Qun Deng
- The Key Laboratory of Microbiology and Parasitology of Anhui Province, The Key Laboratory of Zoonoses of High Institutions in Anhui, Department of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China.
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26
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Wang H, Zhou Y, Dai PY, Li N, Guan YQ, Pan J, Zhong JM, Yu M. [Comorbidity of anxiety symptoms and depression symptoms among middle and high school students in Zhejiang Province]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1921-1927. [PMID: 38129149 DOI: 10.3760/cma.j.cn112338-20230722-00032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To analyze the epidemiological patterns of comorbidity of anxiety symptoms and depression symptoms among middle and high school students in Zhejiang Province and to provide evidence for making strategy and evaluation of intervention. Methods: Through a multi-stage sampling design, 28 043 students from 376 schools in 30 counties/districts were recruited and surveyed using anonymous self-administered questionnaires in classrooms under the supervision of trained staff between April and June 2022. Anxiety symptoms were assessed using generalized Anxiety Disorders 7-Item Scale, and depression symptoms were assessed using Patient Health Questionnaire 9-Item Depression Scale. A total of 27 004 students were included in the final analysis. Results: The overall prevalence of comorbidity of anxiety symptoms and depression symptoms was 11.54% (95%CI: 10.90%-12.19%), higher among girls (15.42%, 95%CI: 14.47%- 16.38%) than boys (8.05%, 95%CI: 7.43%-8.67%) (P<0.001), higher among students living in rural areas (12.35%, 95%CI: 11.49%-13.22%) than those in urban areas (10.06%, 95%CI: 9.27%-10.86%) (P<0.001). The prevalence of comorbidity of students attending middle school, academic high school, and vocational high school was 11.73% (95%CI: 10.82%-12.64%), 12.49% (95%CI: 11.20%- 13.79%), and 9.98% (95%CI: 8.68%-11.27%), respectively (P=0.025). The prevalence of comorbidity was higher among students in divorced/widow/separated families (16.64%, 95%CI: 14.86%-18.43%) than those in intact families (10.82%, 95%CI: 10.14%-11.50%) (P<0.001). The wealthier the families, the lower the prevalence of comorbidity (P<0.001). The prevalence of comorbidity was higher among cigarettes smokers in the past 30 days (21.70%,95%CI: 18.24%- 25.16%) than non-smokers (11.13%, 95%CI: 10.51%-11.76%), higher among alcohol drinkers in the past 30 days (19.36%, 95%CI: 17.58%-21.14%) than non-drinkers (10.05%, 95%CI: 9.43%- 10.68%), higher among students engaging in physical fight in the past 12 months (18.42%, 95%CI: 16.75%-20.09%) than those without physical fight (10.45%, 95%CI: 9.81%-11.10%). The more frequently students engaged in physical exercise, the lower the prevalence of comorbidity (P<0.001). The poorer the academic performance self-reported, the higher the prevalence of comorbidity (P<0.001). Conclusion: More than one-tenth of middle and high school students in Zhejiang Province have comorbidity of anxiety symptoms and depression symptoms, and more attention should be paid to adolescent mental health.
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Affiliation(s)
- H Wang
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y Zhou
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - P Y Dai
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - N Li
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y Q Guan
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J Pan
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J M Zhong
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - M Yu
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
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27
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Yu JB, Wang XL, An ZJ, Zhu DL, Xu L, Xu T, Wang D, Qu Y, Li N, Li LH. Predicting coronary artery disease by carotid color doppler ultrasonography. Eur Rev Med Pharmacol Sci 2023; 27:11713-11721. [PMID: 38164834 DOI: 10.26355/eurrev_202312_34768] [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: 01/03/2024]
Abstract
OBJECTIVE In this study, the color ultrasound indicators of carotid atherosclerosis (CAS) intima-media thickness (IMT) and atherosclerotic plaque (AP) were retrospectively analyzed for the prediction of CHD with the help of compressed speckle denoising. PATIENTS AND METHODS A total of 248 patients with suspected coronary atherosclerosis admitted to the Department of Cardiovascular Medicine of The First Affiliated Hospital of Harbin Medical University from August 2020 to January 2022 were retrospectively recruited as research subjects. RESULTS The plaque detection rate (71.83%), IMT (1.26 ± 0.75) mm, and plaque index (PI) (2.31 ± 0.95) in the Obs group were greatly higher. The IMT and PI values in the patients with two CALs were superior to those in patients with a single CAL, and the IMT and PI values in the patients with three CALs were higher than those in patients with two CALs, illustrating considerable differences between the two groups (p < 0.05). The predictive sensitivity of IMT combined with AP was higher than that of IMT and AP (p < 0.05), and the predictive specificity of AP results was markedly inferior to that of IMT and IMT combined with AP (p < 0.05). CONCLUSIONS The ultrasound examination of CAS had obvious predictive value for the occurrence and disease severity of CHD. The higher the IMT and AP, the higher the incidence and severity of CAD.
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Affiliation(s)
- J-B Yu
- Cardiovascular Department Ward 1, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
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28
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Ma MF, Chen ZY, Wang LJ, Li N, Guo BY. Orphan nuclear receptor 4 A1 involvement in transforming growth factor beta1-induced myocardial fibrosis in diabetic mice. J Physiol Pharmacol 2023; 74. [PMID: 38345443 DOI: 10.26402/jpp.2023.6.04] [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] [Received: 04/21/2023] [Accepted: 12/31/2023] [Indexed: 02/15/2024]
Abstract
We explored the involvement of orphan nuclear receptor 4 A1 (NR4A1) in myocardial fibrosis mediated by transforming growth factor-beta1 (TGF-β1) and its response to cytosporone B (Csn-B). We developed a diabetic cardiomyopathy mouse model by administering a high-fat diet in conjunction with a low-dose streptozotocin injection. Our analysis involved monitoring alterations in blood glucose and lipid levels, cardiac function and structure, as well as profibrotic factors such as α smooth muscle actin (α-SMA), collagen I, collagen III, TGF-β1, connective tissue growth factor, and fibronectin. These assessments were conducted using biochemical techniques, Doppler ultrasound, histopathology, and real-time quantitative polymerase chain reaction. Cardiac fibroblasts (CFs) were extracted from suckling mice and cultivated in a high-glucose medium to simulate diabetes-induced myocardial fibrosis in vitro. These CFs were then subjected to coculture experiments with TGF-β1 or Csn-B. The proliferation and migration of CFs were assessed using cell counting kit 8 (CCK-8) assays and Transwell assays, respectively. Western blotting and immunofluorescence assays were employed to evaluate the expression levels of NR4A1, p-NR4A1, and α-SMA in CFs treated with TGF-β1 after NR4A1 knockdown or Csn-B administration, respectively. In diabetic heart tissue, the expression of p-NR4A1 was notably elevated. Furthermore, CFs exhibited enhanced proliferative capabilities and increased p-NR4A1 expression following high glucose exposure. Interestingly, NR4A1 knockdown resulted in a significant increase in the expression of fibrosis-related proteins in CFs following treatment with TGF-β1. Moreover, our observations revealed a marked decrease in p-NR4A1 levels and a reduction in the expression of fibrosis-related proteins after Csn-B treatment. In diabetic mice treated with Csn-B, we noted diminished NR4A1 phosphorylation and a mitigation of myocardial fibrosis. We concluded that in the mouse model, Csn-B played a pivotal role in inhibiting diabetes-induced myocardial fibrosis by activating NR4A1.
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Affiliation(s)
- M-F Ma
- Department of Cardiovascular Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
- Handan Central Hospital, Handan City, Hebei, China
| | - Z-Y Chen
- Department of Cardiovascular Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - L-J Wang
- Department of Cardiovascular Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - N Li
- Department of Cardiovascular Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - B-Y Guo
- Department of Cardiovascular Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
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Zhao Z, Fang Q, Wei L, Lin J, Su R, Li N. Autophagy-Related Gene CXCR4 is a Potential Predictor of Prognosis and Immunotherapy Response for Gastric Cancer. Discov Med 2023; 35:1190-1201. [PMID: 38058084 DOI: 10.24976/discov.med.202335179.115] [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] [Indexed: 12/08/2023]
Abstract
BACKGROUND Autophagy is involved in the survival, differentiation, and activation of immune cell subsets. In this study, we determined the prognostic value and biological functions of autophagy genes in gastric cancer (GC). METHODS The RNA sequencing dataset for gastric cancer was obtained. Differences in prognosis and enrichment pathways in non-negative matrix factorization (NMF) subclasses were analyzed. Next, we analyzed CXC chemokine receptor 4 (CXCR4) by differential expression, clinical value, immune effects, tumor mutation burden (TMB) values, somatic variants, and biological functions. RESULTS NMF identified three subclasses. Among the three subclasses, there were differences in prognosis, immune cell infiltration, immune checkpoint genes, and enrichment pathways. Moreover, CXCR4 level was elevated in most tumors, and high CXCR4 level was related to poor prognosis in GC patients. CXCR4 expression was significantly correlated with B cells, eosinophils, macrophages, and plasma cells. In in vitro experiment, CXCR4 promoted GC cell proliferation. CONCLUSIONS Our results showed that CXCR4 is a promising biomarker for predicting prognosis and response to immunotherapy in GC.
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Affiliation(s)
- Zhi Zhao
- Department of Gastrointestinal and Hernia Surgery, People's Hospital of Guilin, 541002 Guilin, Guangxi, China
| | - Qingli Fang
- Scientific Research Center, Guilin Medicine University, 541199 Guilin, Guangxi, China
| | - Longqin Wei
- Department of Scientific Research, People's Hospital of Guilin, 541002 Guilin, Guangxi, China
| | - Jinquan Lin
- Department of Gastrointestinal and Hernia Surgery, People's Hospital of Guilin, 541002 Guilin, Guangxi, China
| | - Ruping Su
- Department of Gastrointestinal and Hernia Surgery, People's Hospital of Guilin, 541002 Guilin, Guangxi, China
| | - Ni Li
- Health Management Center, People's Hospital of Guilin, 541002 Guilin, Guangxi, China
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Li N, Peng M, Wu Q. Multiview Data Clustering with Similarity Graph Learning Guided Unsupervised Feature Selection. Entropy (Basel) 2023; 25:1606. [PMID: 38136486 PMCID: PMC10742643 DOI: 10.3390/e25121606] [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: 10/25/2023] [Revised: 11/18/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023]
Abstract
In multiview data clustering, consistent or complementary information in the multiview data can achieve better clustering results. However, the high dimensions, lack of labeling, and redundancy of multiview data certainly affect the clustering effect, posing a challenge to multiview clustering. A clustering algorithm based on multiview feature selection clustering (MFSC), which combines similarity graph learning and unsupervised feature selection, is designed in this study. During the MFSC implementation, local manifold regularization is integrated into similarity graph learning, with the clustering label of similarity graph learning as the standard for unsupervised feature selection. MFSC can retain the characteristics of the clustering label on the premise of maintaining the manifold structure of multiview data. The algorithm is systematically evaluated using benchmark multiview and simulated data. The clustering experiment results prove that the MFSC algorithm is more effective than the traditional algorithm.
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Affiliation(s)
- Ni Li
- College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China
| | - Manman Peng
- College of Information and Engineer, Hunan University, Changsha 410082, China; (M.P.); (Q.W.)
| | - Qiang Wu
- College of Information and Engineer, Hunan University, Changsha 410082, China; (M.P.); (Q.W.)
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31
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Li N, Qiu J, Liang NP, Wu MB, Zhang XT, Zhang H, Dong YF. [Relationship between the neutrophil-to-lymphocyte ratio and estimated glomerular filtration rate in patients with primary aldosteronism: a cross-sectional study]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1145-1151. [PMID: 37963749 DOI: 10.3760/cma.j.cn112148-20230724-00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Objective: To investigate the associations between neutrophil-to-lymphocyte ratio (NLR) and estimated glomerular filtration rate (eGFR) in patients with primary aldosteronism (PA). Methods: This study was a cross-sectional study. Consecutive patients diagnosed with PA and admitted to the Second Affiliated Hospital of Nanchang University from October 2017 to April 2022 were enrolled. General information, blood routine, renal function, and other clinical data of the patients were collected. Based on the median NLR of the enrolled patients, NLR
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Affiliation(s)
- N Li
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - J Qiu
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - N P Liang
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - M B Wu
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - X T Zhang
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - H Zhang
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Y F Dong
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China Key Laboratory of Molecular Biology in Jiangxi Province, Nanchang 330006, China
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Zhou YY, Li N, Lu B, Luo CY, Zhang YH, Luo JH, Lu M, Cai J, Dai M, Chen HD. [Value of fecal immunochemical test in colorectal cancer screening]. Zhonghua Zhong Liu Za Zhi 2023; 45:911-918. [PMID: 37968075 DOI: 10.3760/cma.j.cn112152-20230418-00176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
Screening and early diagnosis and treatment have been proven effective in reducing the incidence and mortality of colorectal cancer. Colonoscopy combined with pathological examination is the gold standard for colorectal cancer screening. However, due to the invasiveness, high cost and the need for professional endoscopists of colonoscopy, it is not feasible to directly use this method for mass population screening. Fecal immunochemical test (FIT) is one of the screening techniques recommended by authoritative international guidelines for colorectal cancer screening, and has been widely used in population-based colorectal cancer screening programs in countries around the world. This paper elaborates on the value of FIT in colorectal cancer screening from different aspects, such as the technical principles, the screening efficiency, the screening strategies, and the population effects and benefits. Additionally, it describes the current situation of colorectal cancer screening in China and summarizes the challenges faced in colorectal cancer screening in order to optimize the FIT-based colorectal cancer screening strategies in the population and provide theoretical reference for effective colorectal cancer screening.
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Affiliation(s)
- Y Y Zhou
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - N Li
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - B Lu
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C Y Luo
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y H Zhang
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J H Luo
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Lu
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - J Cai
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - M Dai
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H D Chen
- Institute of Clinical Medicine/Translational Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Zhang N, Duan YL, Zhou CJ, Jin L, Yang J, Huang S, Zhang M, Li N. [Clinical study of mature B-cell lymphoma in 11 children with chromosome 11 long-arm abnormalities]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:924-929. [PMID: 38185522 PMCID: PMC10753258 DOI: 10.3760/cma.j.issn.0253-2727.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Indexed: 01/09/2024]
Abstract
Objective: To explore the clinical, pathological, diagnostic, treatment, and prognostic features of children with mature B-cell lymphoma (MBCL) . Methods: This retrospective study included pediatric patients with MBCL with chromosome 11 long-arm abnormalities who were diagnosed and treated at our hospital from December 2018 to February 2023. Results: Among the 11 pediatric patients with MBCL, nine were male and two were female, with a median age of 9 (2-13) years and a median disease course of 1.8 (0.5-24) months. The clinical manifestations were cervical lymph node enlargement in four patients, nasal congestion and snoring in four patients, abdominal pain in two patients, and difficulty breathing in one patient. There were seven cases of Burkitt's lymphoma, two of follicular lymphoma, and two of advanced B-cell lymphoma according to the pathological morphology examination. No patients had central nervous system or bone marrow involvement, and no extensive metastasis was observed on B-ultrasound or positron emission tomography-computed tomography (PET/CT). One patient had a huge tumor lesion. The Revised International Pediatric Non-Hodgkin Lymphoma Staging System classified four patients as stage Ⅱ, five as stage Ⅲ, and two as stage Ⅳ. 11q probe detection showed five cases of 11q gain, three of 11q loss, and three of both gain and loss. FISH showed positive MYC expression in three patients, including eight with advanced B-cell lymphoma with 11q abnormalities and three with Burkitt's lymphoma with 11q abnormalities. According to the 2019 edition of the National Health Commission's diagnostic and treatment guidelines for invasive MBCL in children, one patient was classified as Group A, two as Group B, and eight as Group C. Early evaluation of the efficacy showed complete remission. After mid-term evaluation, the intensity of chemotherapy was reduced in Group B and Group C. Among two cases of chemotherapy, the remaining nine cases had a median follow-up of 32 (6-45) months, and none had event-related survival. Conclusion: The incidence of MBCL with 11q abnormalities in children is low, clinical symptoms are mild, and progression is slow. The absence of MYC, BCL2, BCL6 rearrangements, C-MYC negative and 11q abnormalities on FISH is an important diagnostic indicator, and reducing the intensity of chemotherapy can improve prognosis.
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Affiliation(s)
- N Zhang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - Y L Duan
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - C J Zhou
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Department of Pathology
| | - L Jin
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - J Yang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - S Huang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - M Zhang
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - N Li
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
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Wang YQ, Liang L, Zhong W, Yu HR, Qiao GQ, Li N, Liu SY, Wang LL. [A case report of ocular monkeypox]. Zhonghua Yan Ke Za Zhi 2023; 59:943-945. [PMID: 37724514 DOI: 10.3760/cma.j.cn112142-20230817-00048] [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: 09/20/2023]
Abstract
A 35-year-old male patient arrived at the clinic, reporting a persistent issue of his right eye being difficult to open for the past three weeks. Alongside this, he had been experiencing a gradual development of lesions around the eye. Notably, about a month prior to the onset of these symptoms, the patient had engaged in unprotected intercourse with a male partner. The initial manifestation was a papule near the eye, which then rapidly progressed. Laboratory analysis of samples taken from the lesions confirmed the presence of monkeypox through polymerase chain reaction testing. Furthermore, this patient received positive diagnoses for both HIV and syphilis infections. Notably, his absolute CD4 count was measured at an extremely low level of 2 cells/μl.(This article was published ahead of print on the official website of Chinese Journal of Ophthalmology on September 18, 2023).
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Affiliation(s)
- Y Q Wang
- Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100853, China
| | - L Liang
- Department of Ophthalmology, the First Affiliated Hospital Of USTC (Anhui Provincial Hospital), Hefei 230002, China
| | - W Zhong
- The National Engineering Research Center For the Emergence Drugs; Institute of Pharmacologyand Toxicology,the Academy of Military Medical Sciences, the PLA Academy of Military Sciences Beijing 100850, China
| | - H R Yu
- Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100853, China
| | - G Q Qiao
- Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100853, China
| | - N Li
- Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100853, China
| | - S Y Liu
- Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100853, China
| | - L L Wang
- Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100853, China
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Zhou Q, Yang Y, Xu Z, Deng K, Zhang Z, Hao J, Li N, Wang Y, Wang Z, Chen H, Yang Y, Xiao F, Zhang X, Gao S, Li Y. ATAD1 inhibits hepatitis C virus infection by removing the viral TA-protein NS5B from mitochondria. EMBO Rep 2023; 24:e56614. [PMID: 37789674 PMCID: PMC10626439 DOI: 10.15252/embr.202256614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 08/24/2023] [Accepted: 09/01/2023] [Indexed: 10/05/2023] Open
Abstract
ATPase family AAA domain-containing protein 1 (ATAD1) maintains mitochondrial homeostasis by removing mislocalized tail-anchored (TA) proteins from the mitochondrial outer membrane (MOM). Hepatitis C virus (HCV) infection induces mitochondrial fragmentation, and viral NS5B protein is a TA protein. Here, we investigate whether ATAD1 plays a role in regulating HCV infection. We find that HCV infection has no effect on ATAD1 expression, but knockout of ATAD1 significantly enhances HCV infection; this enhancement is suppressed by ATAD1 complementation. NS5B partially localizes to mitochondria, dependent on its transmembrane domain (TMD), and induces mitochondrial fragmentation, which is further enhanced by ATAD1 knockout. ATAD1 interacts with NS5B, dependent on its three internal domains (TMD, pore-loop 1, and pore-loop 2), and induces the proteasomal degradation of NS5B. In addition, we provide evidence that ATAD1 augments the antiviral function of MAVS upon HCV infection. Taken together, we show that the mitochondrial quality control exerted by ATAD1 can be extended to a novel antiviral function through the extraction of the viral TA-protein NS5B from the mitochondrial outer membrane.
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Affiliation(s)
- Qing Zhou
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
- Technology Center, China Tobacco Henan Industrial Co., LtdZhengzhouChina
- Department of Infectious DiseasesThe Third Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Yuhao Yang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
| | - Zhanxue Xu
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
| | - Kai Deng
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
- Guangzhou Eighth People's HospitalGuangzhou Medical UniversityGuangzhouChina
| | - Zhenzhen Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
| | - Jiawei Hao
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
| | - Ni Li
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
- Department of Infectious DiseasesThe Third Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Yanling Wang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
| | - Ziwen Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Haihang Chen
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
| | - Yang Yang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
| | - Fei Xiao
- Department of Infectious DiseaseThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhaiChina
| | - Xiaohong Zhang
- Department of Infectious DiseasesThe Third Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Song Gao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Yi‐Ping Li
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of MedicineSun Yat‐sen UniversityGuangzhouChina
- Department of Infectious DiseasesThe Third Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
- Department of Infectious DiseaseThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhaiChina
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Wang Z, Li N, Wang W, Zhu Y, Liu Y. Endophytic bacterial community diversity in genetically related hybrid rice seeds. Appl Microbiol Biotechnol 2023; 107:6911-6922. [PMID: 37704771 DOI: 10.1007/s00253-023-12782-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 09/15/2023]
Abstract
The Food and Agriculture Organization of the United Nations (FAO) has identified hybrid rice as ideal for addressing food scarcity in poor nations. A comprehensive investigation of the endophytic bacteria in hybrid rice seeds is essential from a microecological perspective to illuminate the mechanisms underlying its high yield, high quality, and multi-resistance. The endophytic bacterial diversity and community structures of 11 genetically correlated hybrid rice seeds with different rice blast resistance levels were studied using high-throughput sequencing (HTS) on the Illumina MiSeq platform to reveal their "core microbiota" and explore the effect of genotypes, genetic relationships, and resistance. Proteobacteria (78.15-99.15%) represented the most abundant group in the 11 hybrid rice cultivars, while Pantoea, Pseudomonas, and Microbacterium comprised the "core microbiota." Hybrid rice seeds with different genotypes, genetic correlations, and rice blast resistance displayed endophytic bacterial community structure and diversity variation. In addition, the network relationships between the rice seed endophytic bacteria of "the same female parent but different male parents" were more complex than those from "the same male parent but different female parents." Matrilineal inheritance may be the primary method of passing on endophytic bacteria in rice from generation to generation. The endophytic bacterial interaction network in rice blast-resistant hybrid rice seed varieties was more complicated than in susceptible varieties. In summary, this study demonstrated that the genotype, genetic relationship, and rice blast resistance were important factors affecting the community structures and diversity of endophytic bacteria in hybrid rice seeds, which was vital for revealing the interaction between endophytic bacteria and the host. KEY POINTS: • Pantoea, Pseudomonas, and Microbacterium represent the main endophytic bacteria in hybrid rice seeds. • Genotype is the primary factor affecting endophytic bacterial diversity in hybrid rice seeds. • The diversity of the endophytic bacterial community in hybrid rice seeds is related to their genotypes, genetic relationships, and rice blast resistance.
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Affiliation(s)
- Zhishan Wang
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Ni Li
- State Key Laboratory of Hybrid Rice (Hunan Hybrid Rice Research Center), Changsha, 410125, China
| | - Weiping Wang
- State Key Laboratory of Hybrid Rice (Hunan Hybrid Rice Research Center), Changsha, 410125, China.
| | - Yongqiang Zhu
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai (CHGC) and Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 201203, China.
| | - Yang Liu
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
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Ma LM, Si X, Zhai SF, Wu XL, Li N, Liu XH. Recombinant erythropoietin protective and related effects on brain injury in premature infants. Eur Rev Med Pharmacol Sci 2023; 27:10958-10967. [PMID: 38039026 DOI: 10.26355/eurrev_202311_34464] [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: 12/02/2023]
Abstract
OBJECTIVE The aim of this study was to investigate the protective effect of recombinant erythropoietin at different doses on brain injury in premature infants and the related effects on blood routine, liver function, intellectual development, mental development index (MDI), psychomotor development index (PDI), etc. PATIENTS AND METHODS: A total of 120 premature infants were divided into four groups, including experimental group A (n=30), experimental group B (n=30), experimental group C (n=30) and control group (n=30). The experimental group was treated with different doses of recombinant erythropoietin for brain injury protection of premature infants, while the control group with conventional methods. RESULTS There was no statistical significance in all test indicators of the four groups of patients before the intervention. After the intervention experiment, the S-100B index was p<0.05, and the erythropoietin (EPO) index was p<0.05. In the comparison of IL-6 indicators, the indicators of the experimental group were reduced after the comparison experiment, and there were significant differences, p<0.05. In neonatal behavior evaluation, there was a statistical difference between groups A and B and the control group (p<0.05), and no statistical significance was shown between group C and the control group (p>0.05). In the intelligence test comparison, the F value of the experimental group was 3.113 three months after treatment. After six months, the F value was 3.654. After nine months, the F value was 3.392 with p<0.05. In the comparison of blood routine indicators, the p-values of four indicators between groups were more than 0.05. In the comparison of liver function indexes, the indexes of groups A, B, and C were significantly changed before and after treatment, and the data after treatment were significantly different from those before treatment, p<0.05. In the comparison of development, there were no significant differences observed in the p-values of the two indicators of vigorous exercise and language in the experimental group. CONCLUSIONS Recombinant erythropoietin has a protective effect on infants with brain injury and can improve the intellectual development of premature infants, but has no significant effect on blood routine indicators. It can effectively improve the MDI, PDI, and related cytokines of premature infants, and has certain significance for the treatment of brain injury.
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Affiliation(s)
- L-M Ma
- Neonatal Department, Handan Central Hospital of Hebei Province, Handan, Hebei, China.
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Duan Y, Feng W, Shen Y, Li Y, Li N, Chen X, Wang Y. Severe pneumonia with empyema caused by Parvimonas micra and Streptococcus constellatus co-infection: a case report. J Int Med Res 2023; 51:3000605231210657. [PMID: 37994021 PMCID: PMC10666820 DOI: 10.1177/03000605231210657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 10/12/2023] [Indexed: 11/24/2023] Open
Abstract
Empyema is a common complication of pneumonia, caused by the accumulation of purulent exudate due to pathogenic bacteria invading the pleural cavity. Parvimonas micra and Streptococcus constellatus are pathogens that rarely cause pneumonia with empyema. Herein, a case of severe empyema caused by these two pathogens, confirmed by metagenomic next-generation sequencing (mNGS) of pleural effusion cultures, is reported. A male Chinese patient in his late sixties presented with wheezing, cough, sputum expectoration, and fever. Blood and sputum cultures were negative for pathogens, but the pleural effusion culture was positive for S. constellatus, and was also found to contain P. micra, confirmed by mNGS. The patient's symptoms improved after treatment with cefoperazone/sulbactam and moxifloxacin. Pneumonia caused by P. micra and S. constellatus is rare; however, coinfection with these pathogens may cause severe pneumonia, with or without empyema.
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Affiliation(s)
- Yao Duan
- General Internal Medicine Department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Wenshi Feng
- General Internal Medicine Department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yuxin Shen
- General Internal Medicine Department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yue Li
- General Internal Medicine Department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Ni Li
- General Internal Medicine Department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Xuyan Chen
- General Internal Medicine Department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yiqun Wang
- General Internal Medicine Department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
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Hu Y, Xu Y, Zhang T, Han Q, Li L, Liu M, Li N, Shao G. Cisplatin-activated ERβ/DCAF8 positive feedback loop induces chemoresistance in non-small cell lung cancer via PTEN/Akt axis. Drug Resist Updat 2023; 71:101014. [PMID: 37913652 DOI: 10.1016/j.drup.2023.101014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 10/20/2023] [Accepted: 10/20/2023] [Indexed: 11/03/2023]
Abstract
High levels of the estrogen receptor β (ERβ) predict poor prognosis following platinum-containing adjuvant chemotherapies in patients with non-small cell lung cancer (NSCLC). However, the precise role of ERβ remains elusive. In this study, we demonstrated that targeting ERβ could significantly increase the cytotoxicity of cisplatin both in vitro and in vivo. Mechanically, cisplatin directly binds to ERβ, which facilitates its homodimerization and nuclear translocation. ERβ activation transcriptionally represses the expression of DCAF8, an adaptor of CRL4 E3 ubiquitin ligase, which in turn attenuates the proteasomal degradation of ERβ, leading to ERβ accumulation; this positive feedback loop results in Akt activation and eventually cisplatin resistance in NSCLC through PTEN inhibition. Moreover, low expression of DCAF8 and high expression of ERβ are associated with treatment resistance in patients receiving cisplatin-containing adjuvant chemotherapy. The present results provide insights into the underlying mechanism of ERβ-induced cisplatin resistance and offer an alternative therapeutic strategy to improve the efficacy of platinum-based chemotherapy in patients with NSCLC.
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Affiliation(s)
- Yumeng Hu
- Department of Cell Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China; State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yongjie Xu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ting Zhang
- Department of Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Qianying Han
- Department of Cell Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Li Li
- Department of Cell Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Mingyang Liu
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Genze Shao
- Department of Cell Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
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Luo Z, Dong X, Wang C, Cao W, Zheng Y, Wu Z, Xu Y, Zhao L, Wang F, Li J, Ren J, Shi J, Chen W, Li N. Association Between Socioeconomic Status and Adherence to Fecal Occult Blood Tests in Colorectal Cancer Screening Programs: Systematic Review and Meta-Analysis of Observational Studies. JMIR Public Health Surveill 2023; 9:e48150. [PMID: 37906212 PMCID: PMC10646673 DOI: 10.2196/48150] [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: 04/15/2023] [Revised: 07/21/2023] [Accepted: 07/31/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND Screening adherence is important in reducing colorectal cancer (CRC) incidence and mortality. Disparity in CRC screening adherence was observed in populations of different socioeconomic status (SES), but the direction and strength of the association remained unclear. OBJECTIVE We aimed to systematically review all the observational studies that have analyzed the association between SES and adherence to organized CRC screening based on fecal occult blood tests. METHODS We systematically reviewed the studies in PubMed, Embase, and Web of Science and reference lists of relevant reviews from the inception of the database up until June 7, 2023. Individual SES, neighborhood SES, and small-area SES were included, while any SES aggregated by geographic areas larger than neighbors were excluded. Studies assessing SES with any index or score combining indicators of income, education, deprivation, poverty, occupation, employment, marital status, cohabitation, and others were included. A random effect model meta-analysis was carried out for pooled odds ratios (ORs) and relative risks for adherence related to SES. RESULTS Overall, 10 studies, with a total of 3,542,379 participants and an overall adherence rate of 64.9%, were included. Compared with low SES, high SES was associated with higher adherence (unadjusted OR 1.73, 95% CI 1.42-2.10; adjusted OR 1.53, 95% CI 1.28-1.82). In the subgroup of nonindividual-level SES, the adjusted association was significant (OR 1.57, 95% CI 1.26-1.95). However, the adjusted association was insignificant in the subgroup of individual-level SES (OR 1.46, 95% CI 0.98-2.17). As for subgroups of the year of print, not only was the unadjusted association significantly stronger in the subgroup of early studies (OR 1.97, 95% CI 1.59-2.44) than in the subgroup of late studies (OR 1.43, 95% CI 1.31-1.56), but also the adjusted one was significantly stronger in the early group (OR 1.86, 95% CI 1.43-2.42) than in the late group (OR 1.26, 95% CI 1.14-1.39), which was consistent and robust. Despite being statistically insignificant, the strength of the association seemed lower in studies that did not adjust for race and ethnicity (OR 1.31, 95% CI 1.21-1.43) than the overall estimate (OR 1.53, 95% CI 1.28-1.82). CONCLUSIONS The higher-SES population had higher adherence to fecal occult blood test-based organized CRC screening. Neighborhood SES, or small-area SES, was more competent than individual SES to be used to assess the association between SES and adherence. The disparity in adherence between the high SES and the low SES narrowed along with the development of interventions and the improvement of organized programs. Race and ethnicity were probably important confounding factors for the association.
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Affiliation(s)
- Zilin Luo
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuesi Dong
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chenran Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yadi Zheng
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Wu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongjie Xu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liang Zhao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jibin Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiansong Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jufang Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
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Cui JQ, Tian HL, Wang XJ, Wang L, Liu YK, Ye C, Ding LF, Li N, Chen QY. [Analysis of short-term efficacy of perioperative fecal microbiota transplantation combined with nutritional support in patients with radiation-induced enteritis complicated by intestinal obstruction]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:955-962. [PMID: 37849266 DOI: 10.3760/cma.j.cn441530-20230816-00052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Objective: To explore the short-term efficacy of perioperative fecal microbiota transplantation combined with nutritional support in patients with radiation-induced enteritis complicated by intestinal obstruction. Methods: The cohort of this prospective cohort study comprised 45 patients (nine men and 36 women) with radiation-induced enteritis complicated by intestinal obstruction admitted to Shanghai Tenth People's Hospital Affiliated to Tongji University from January 2022 to October 2022. The median age was 53 (42-65) years. Thirty-five of the patients had gynecological tumors and 10 colorectal malignancies. The patients were randomly allocated to a fecal microbiota transplantation group of 20 patients who underwent fecal microbiota transplantation starting 2 weeks before surgery for 6 days, in addition to receiving conventional perioperative treatment, and a conventional treatment group of 25 patients who only received nutritional support during the perioperative period. There were no significant differences in baseline characteristics (sex, age, preoperative nutritional indices, and surgical procedure) between the two groups (all P>0.05). Postoperative recovery (time to passing flatus or a bowel movement, length of stay) and complications were compared between the two groups. Postoperative complications within 30 days after surgery classified in accordance with the international Clavien-Dindo classification of surgical complications (I-V) were statistically analyzed. Improvement in gastrointestinal symptoms, namely abdominal pain, distension, diarrhea, and rectal bleeding) and gastrointestinal quality of life scores (which include 36 problems rated 0-144 points related to physical, psychological, social activities and family life; the lower the score, the more severe the symptoms) were compared between the two groups. Nutritional recovery was assessed by body mass, body mass index, total protein, albumin, prealbumin, and hemoglobin. Results: Compared with the conventional treatment group, the postoperative hospital stay was shorter in the fecal microbiota transplantation group (8.0±4.3 days vs. 11.2±5.4 days, t=2.157, P=0.037) and the time to passage of flatus or having a bowel movement was earlier (2.2±3.2 days vs. 3.9±2.3 days, t=2.072, P=0.044). There were 26 postoperative complications in the fecal microbiota transplantation group and 59 in the conventional treatment group. There were 20 and 36 Grade I to II complications and no and three Grade III to V complications in the transplantation and conventional treatment group, respectively. The overall grade of complication did not differ significantly between the two groups (P=0.544). However, the incidence of postoperative intestinal inflammatory obstruction was lower in the fecal microbiota transplantation than the conventional treatment group (10.0% [2/20] vs. 40.0% [10/25], P=0.040). One patient in the conventional treatment group died. This patient had complete intestinal obstruction complicated by severe malnutrition preoperatively, and an intestinal fistula complicated by abdominal infection postoperatively, and died despite active treatment. Nineteen and 23 patients in the transplantation and conventional treatment group, respectively, attended for follow-up 1 month after surgery; 19 and 21, respectively, attended for follow-up 3 months after surgery, and 17 and 20, respectively, attended for follow-up 6 months after surgery. There were no significant differences between the two groups in abdominal pain or rectal bleeding 1, 3, or 6 months after surgery (all P>0.05). One month after surgery, the incidence of abdominal distension and diarrhea was lower in the fecal microbiota transplantation than in the conventional treatment group (3/19 vs. 48.0% [11/23], P=0.048; 3/19 vs. 52.2% [12/23], P=0.023). However, at the 3 and 6 month follow-ups the incidence of abdominal distension and diarrhea had gradually decreased in both groups and the differences between the groups were not statistically significant (P>0.05 for all). Scores for gastrointestinal quality of life improved significantly in both treatment groups compared with preoperative values (F=71.250, P<0.001; F=79.130, P<0.001, respectively). Scores for gastrointestinal quality of life were higher in the fecal microbiota transplantation than the conventional treatment group at all follow-up time points (P<0.05). One-way ANOVA showed that body mass, body mass index, and total protein, albumin and hemoglobin concentrations improved in both groups compared with preoperative values (all P<0.05). Prealbumin concentration improved significantly in the transplantation (F=5.514, P=0.002), but not in the conventional, group (F=1.535, P=0.211). The improvements in body mass, body mass index, total protein, and albumin were better in the fecal microbiota transplantation than conventional treatment group at 3 and 6 months of follow-up (all P<0.05). Conclusion: Perioperative fecal microbiota transplantation combined with nutritional support is effective in improving early postoperative nutritional status and quality of life in patients with radiation-induced enteritis complicated by intestinal obstruction.
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Affiliation(s)
- J Q Cui
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Clinical Research Center for Digestive Diseases, Shanghai 200027,China Department of General Surgery, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai 202157, China
| | - H L Tian
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Clinical Research Center for Digestive Diseases, Shanghai 200027,China Department of General Surgery, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai 202157, China
| | - X J Wang
- Weihai Center Hospital, Qingdao University, Weihai 264400, China
| | - L Wang
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Clinical Research Center for Digestive Diseases, Shanghai 200027,China
| | - Y K Liu
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Clinical Research Center for Digestive Diseases, Shanghai 200027,China
| | - C Ye
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Clinical Research Center for Digestive Diseases, Shanghai 200027,China
| | - L F Ding
- Department of General Surgery, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai 202157, China
| | - N Li
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Clinical Research Center for Digestive Diseases, Shanghai 200027,China
| | - Q Y Chen
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Clinical Research Center for Digestive Diseases, Shanghai 200027,China
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Li N, Hu DX, Qin X, Zhu YP, Zhou M, He L, Chang LX, Xu XJ, Dai Y, Cao XY, Chen K, Wang HM, Wang CJ, He YL, Qian XW, Xu LP, Chen J. [Diagnosis status and genetic characteristics analysis of Fanconi anemia in China]. Zhonghua Er Ke Za Zhi 2023; 61:889-895. [PMID: 37803855 DOI: 10.3760/cma.j.cn112140-20230606-00383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
Objective: To analyze the clinical and molecular diagnostic status of Fanconi anemia (FA) in China. Methods: The General situation, clinical manifestations and chromosome breakage test and genetic test results of 107 pediatric FA cases registered in the Chinese Blood and Marrow Transplantation Registry Group (CBMTRG) and the Chinese Children Blood and Marrow Transplantation Registry Group (CCBMTRG) from August 2009 to January 2022 were analyzed retrospectively. Children with FANCA gene variants were divided into mild and severe groups based on the type of variant, and Wilcoxon-test was used to compare the phenotypic differences between groups. Results: Of the 176 registered FA patients, 69 (39.2%) cases were excluded due to lack of definitive genetic diagnosis results, and the remaining 107 children from 15 hospitals were included in the study, including 70 males and 37 females. The age at transplantation treatment were 6 (4, 9) years. The enrolled children were involved in 10 pathogenic genes, including 89 cases of FANCA gene, 7 cases of FANCG gene, 3 cases of FANCB gene, 2 cases of FANCE gene and 1 case each of FANCC, FANCD1, FANCD2, FANCF, FANCJ, and FANCN gene. Compound heterozygous or homozygous of loss-of-function variants account for 69.2% (72/104). Loss-of-function variants account for 79.2% (141/178) in FANCA gene variants, and 20.8% (37/178) were large exon deletions. Fifty-five children (51.4%) had chromosome breakage test records, with a positive rate of 81.8% (45/55). There were 172 congenital malformations in 80 children.Café-au-Lait spots (16.3%, 28/172), thumb deformities (16.3%,28/172), polydactyly (13.9%, 24/172), and short stature (12.2%, 21/172) were the most common congenital malformations in Chinese children with FA. No significant difference was found in the number of congenital malformations between children with severe (50 cases) and mild FANCA variants (26 cases) (Z=-1.33, P=0.185). Conclusions: FANCA gene is the main pathogenic gene in children with FA, where the detection of its exon deletion should be strengthened clinically. There were no phenotypic differences among children with different types of FANCA variants. Chromosome break test is helpful to determine the pathogenicity of variants, but its accuracy needs to be improved.
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Affiliation(s)
- N Li
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - D X Hu
- Department of Hematology, Children's Hospital of Soochow University,Suzhou 215000, China
| | - X Qin
- Department of Hematology and Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Y P Zhu
- Department of Pediatrics, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - M Zhou
- Department of Hematology, Guangzhou First People's Hospital, Guangzhou 510030, China
| | - L He
- Nanfang-Chunfu Children's Institute of Hematology & Oncology, Dongguan 523000, China
| | - L X Chang
- Department of Pediatrics, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjing 300020, China
| | - X J Xu
- Department of Hematology and Oncology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Y Dai
- Department of Pediatrics, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - X Y Cao
- Department of Transplantation, Hebei Yanda Ludaopei Hospital, Langfang, 065201, China
| | - K Chen
- Department of Hematology and Oncology, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China
| | - H M Wang
- Department of Pediatrics, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| | - C J Wang
- Department of Hematology, Shenzhen Children's Hospital, Shenzhen 518028, China
| | - Y L He
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X W Qian
- Department of Hematology, Children's Hospital of Fudan University, Shanghai 201102, China
| | - L P Xu
- Department of Hematology, Peking University People's Hospital, Beijing 100044, China
| | - J Chen
- Department of Hematology and Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
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Song Y, Kong J, Li N, Liu X, Li X, Zhu L, Wang Y, Fang H, Jing H, Tang Y, Li Y, Wang XH, Zhang J, Wang S. Comparison of Supraclavicular Surgery plus Radiotherapy vs. Radiotherapy Alone in Breast Cancer Patients with Synchronous Ipsilateral Supraclavicular Lymph Node Metastasis: A Multicenter Retrospective Study. Int J Radiat Oncol Biol Phys 2023; 117:e208. [PMID: 37784870 DOI: 10.1016/j.ijrobp.2023.06.1094] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate and compare the outcomes of supraclavicular lymph node dissection (SLND) plus radiotherapy (RT) and RT alone for patients with synchronous ipsilateral supraclavicular lymph node metastasis (sISLM). MATERIALS/METHODS In all, 293 patients with sISLM across three centers were included. Of these, 85 (29.0%) received SLND plus RT and 208 (71.0%) received RT alone. All patients received preoperative systemic therapy followed by mastectomy or lumpectomy and axillary dissection. Supraclavicular recurrence-free survival (SCRFS), locoregional recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were evaluated by using the Kaplan-Meier method and multivariate Cox models. Multiple imputation was used for missing data. RESULTS The median follow-up duration of the RT and SLND+RT groups were 53.7 and 63.5 months, respectively. For the RT and SLND+RT groups, the 5-year SCRFS rates were 91.7% vs. 85.5% (P = 0.522), LRRFS rates were 79.1% vs. 73.1% (P = 0.412), DMFS rates were 60.4 vs. 58.8% (P = 0.708), DFS rates were 57.6% vs. 49.7% (P = 0.291), and OS rates were 71.9% vs. 62.2% (P = 0.272), respectively. There was no significant effect on any outcome when comparing SLND+RT versus RT alone in the multivariate analysis. Based on four risk factors of DFS, patients were classified into three risk groups: the intermediate- and high-risk groups had significantly lower survival outcomes than the low-risk group. SLND+RT did not improve outcomes of any risk group compared with RT alone. CONCLUSION Patients with sISLM may not benefit from SLND. Distant metastasis remained the major failure pattern, especially for intermediate- and high-risk groups with sISLM may not benefit from SLND. Distant metastasis remained the major failure pattern, especially for intermediate- and high-risk groups.
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Affiliation(s)
- Y Song
- Department of Radiation Oncology, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Kong
- The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - N Li
- Department of Radiochemotherapy, Tangshan People's Hospital., Tangshan, Hebei, China
| | - X Liu
- Department of Radiation Oncology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - X Li
- Department of Radiation Oncology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - L Zhu
- Department of Radiation Oncology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Y Wang
- Department of Radiochemotherapy, Tangshan People's Hospital., Tangshan, Hebei, China
| | - H Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - H Jing
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Tang
- GCP center/Clinical research center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X H Wang
- Department of Radiochemotherapy, People's Hospital of Tangshan City, Tangshan, China
| | - J Zhang
- Department of Radiation Oncology, Forth Hospital of Hebei Medical University, Shijiazhuang, China
| | - S Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhang W, Tang Y, Chen W, Gao Y, Wang W, Liu S, Wei L, Cai Y, Zhu Y, Cheng G, Zhang H, Wang X, Zhu S, Wang J, Li G, Yang J, Zhang K, Li N, Li Y, Jin J. Cost-Effectiveness of Short-Course Radiotherapy Based Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer in China. Int J Radiat Oncol Biol Phys 2023; 117:e356-e357. [PMID: 37785230 DOI: 10.1016/j.ijrobp.2023.06.2439] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The phase III STELLAR (NCT02533271) trial demonstrated that four cycles of chemotherapy after short-course radiotherapy (SCRT-TNT) were not inferior to the standard care of long-course concurrent radiotherapy (LCRT) in patients with locally advanced rectal cancer (LARC). This study assessed the cost-effectiveness of SCRT-TNT versus LCRT in locally advanced rectal cancer in China on the basis of the STELLAR trial. MATERIALS/METHODS A Markov model was used to synthesize the healthcare costs and benefits of LARC patients based on results from the STELLAR trial. The model assumes that LARC who meet the inclusion criteria of the STELLAR trial experience four possible states: No Evidence of Disease (NED), locally recurrence, distant metastases, or any death from rectal cancer or other unrelated causes, where local recurrence continues to be classified as resectable and unresectable. The transition status period is 3 month, and 5 years is used to calculate direct medical costs and health benefits. The probabilities of states transition after SCRT-TNT or LCRT were derived from the results of the STELLAR trial and previous published article (Table.1). Costs were evaluated from the Chinese payer's perspective reported in early 2022 US dollars (US$1 = 6.78 Chinese Yuan). Sensitivity analyses were performed for key variables. Cost-effectiveness was evaluated using the incremental cost-effectiveness ratio and net monetary benefits. Effectiveness was defined as quality-adjusted life-years (QALYs). Willingness-to-pay (WTP) threshold was set at $43500/QALY. Data were collected from October 3, 2020, to September 20, 2021, and analyzed from November 15, 2020, to October 25, 2021. RESULTS During the 5-year horizon, for the base case scenario, SCRT-TNT incurred a lower total cost and higher QALYs compared with LCCRT. The total cost was $65767 and QALYs were 1.77 for SCRT-TNT; for LCCRT, the total cost was $72802 and QALYs were 1.64. This resulted in an ICER of -$ 55470.69 per QALY. Therefore, SCRT-TNT was a cost-saving and dominating treatment strategy compared with LCRT. Sensitivity analysis showed that ICERs were most sensitive to the parameters of distant metastases risk after treatment. CONCLUSION SCRT-TNT in locally advanced rectal cancer can be a cost-effective alternative to LCRT in China, and should be considered in appropriately selected patients.
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Affiliation(s)
- W Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Y Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Gao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - W Wang
- Guizhou Provincial Cancer Hospital, GUIZHOU, China
| | - S Liu
- Jilin Provincial Cancer Hospital, Changchun, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Y Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Zhu
- Zhejiang Cancer Hospital, Hangzhou, China
| | - G Cheng
- Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - H Zhang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China, Wuhan, China
| | - X Wang
- Department of Radiation Oncology/Abdominal Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - S Zhu
- Hunan Cancer Hospital, Changsha, Hunan province, China
| | - J Wang
- Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - G Li
- Department of Radiation Oncology, National Geriatrics Center, Beijing Hospital of the Ministry of Health, Beijing, China
| | - J Yang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - K Zhang
- Qinghai Red Cross Hospital, XINING, China
| | - N Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China; Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, Beijing, China
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Duan C, Li N, Li Y, Cui J, Xu W, Liu X. Prediction of progesterone receptor expression in high-grade meningioma by using radiomics based on enhanced T1WI. Clin Radiol 2023; 78:e752-e757. [PMID: 37487839 DOI: 10.1016/j.crad.2023.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/13/2023] [Accepted: 06/03/2023] [Indexed: 07/26/2023]
Abstract
AIM To predict progesterone receptor (PR) expression of high-grade meningioma using radiomics based on enhanced T1-weighted imaging (WI). MATERIALS AND METHODS There were 157 cases of high-grade meningioma in the study. Seventy-eight cases had negative expression and 79 cases had positive expression. Spearman's rank correlation coefficient and least absolute shrinkage and selection operator (LASSO) regression were used to select the valuable features. The models were developed by naive Bayes (NB), random forest (RF), and support vector machine (SVM). Receiver operating characteristic (ROC) and decision curve analysis (DCA) analysis were used to assess the models. RESULTS Nine features were selected as the valuable features using Spearman's analysis and LASSO regression. The RF and NB models achieved the same area under the ROC curve (AUC) of 0.75, which was higher than that of SVM (0.74). There was no significant difference among the AUCs of the three models (p>0.05). There was a larger net benefit in the RF model than the SVM and NB models across all threshold probabilities in the DCA analysis. CONCLUSION The RF model had good performance in predicting PR expression of high-grade meningioma. PR expression evaluation for high-grade meningioma would be helpful in clinical practice.
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Affiliation(s)
- C Duan
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China
| | - N Li
- Department of Information Management, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China
| | - Y Li
- Department of Radiology, Qingdao Women and Children's Hospital, Qingdao City, Shandong Province, China
| | - J Cui
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China
| | - W Xu
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China
| | - X Liu
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
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Wang C, Wu Z, Lei L, Dong X, Cao W, Luo Z, Zheng Y, Wang F, Xu Y, Zhao L, Shi J, Ren J, Li J, Zhang Y, Chen W, Li N. Geographic disparities in trends of thyroid cancer incidence and mortality from 1990 to 2019 and a projection to 2030 across income-classified countries and territories. J Glob Health 2023; 13:04108. [PMID: 37766638 PMCID: PMC10540248 DOI: 10.7189/jogh.13.04108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023] Open
Abstract
Background The rising incidence of thyroid cancer (TC) has generated growing concern globally; yet there are no studies examining whether this incidence was followed by a rise in related mortality. We aimed to comprehensively quantify current trends and future projections of TC incidence and mortality, and to explore the association between the TC burden and socioeconomic inequality in different income strata. Methods We obtained incidence and mortality data on TC and population from the 2019 Global Burden of Disease (GBD) study and the United Nations' World Population Prospects 2022. We applied an age-period-cohort (APC) model to estimate the overall annual percentage change (net drift) and age, period, and cohort effects from 1990 to 2019, and also constructed a Bayesian APC model to predict the TC burden through 2030. Results Over a third of global TC cases belonged to the high-income group. From 1990 to 2019, net drifts of TC incidence were >0 in all income groups, while a modest reduction (net drift <0) in mortality was observed in most income groups, except for the lower-middle-income group. Unfavourable age, period, and cohort effects were most notable in Vietnam, China, and Korea. The age-standardised incidence rate (ASIR) is predicted to increase whereas the age-standardized mortality rate (ASMR) is expected to decrease globally between 2020 and 2030, with geographic heterogeneity being detected across income groups. We observed a positive correlation between ASIR and universal health coverage index and health worker density, but a negative one between ASMR and the two indicators, primarily in upper-middle-income and high-income countries. Conclusions Opposite patterns in incidence and mortality of TC raise concerns about overdiagnosis, particularly in upper-middle-income and high-income countries. Discrepancies in the distribution of health service accessibility, including diagnostic techniques and therapeutic care, should be addressed by narrowing health inequalities in the TC burden across countries.
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Affiliation(s)
- Chenran Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Wu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lin Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Xuesi Dong
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zilin Luo
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yadi Zheng
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongjie Xu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liang Zhao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jufang Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiansong Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jibin Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yawei Zhang
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
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Cao Y, Wang ZW, Chen D, Liu L, Li DX, Li N, Ying SQ, Liu X, Jin F. The effect of space arrangement between anterior teeth on their retraction with clear aligners in first premolar extraction treatment: a finite element study. Prog Orthod 2023; 24:39. [PMID: 37747552 PMCID: PMC10519906 DOI: 10.1186/s40510-023-00484-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 08/03/2023] [Indexed: 09/26/2023] Open
Abstract
INTRODUCTION Clear aligner therapy has become increasingly popular in recent years, although it has encountered several difficulties in premolar extraction treatment. These difficulties include anterior dentition, lingual tipping and extrusion. The design of the present clinical scheme usually set a tiny space between the anterior teeth before retraction in order to obtain an ideal outcome. The objective of our research was to analyze the effect of the existing spaces during retraction. METHODS Models including maxillary dentition without first premolars, maxilla, periodontal ligaments, gingiva, or aligners were constructed and imported to an ANSYS workbench. Five groups of models were created: without spaces and with 0.25, 0.50, 0.75 and 1.00 mm spaces between the anterior dentition. A 0.20 mm retraction step was applied to all the groups. RESULTS As the spaces between the anterior dentition increased, the bowing effect of the aligner caused by the passive forces decreased gradually. Accordingly, the degree of extrusion of the anterior dentition was alleviated significantly, while sagittal movement was reduced. However, the overall movement tended to be a bodily displacement rather than tipping. Meanwhile, maximum Von Mises stress of the periodontal ligaments (PDLs) was markedly decreased. CONCLUSION These analyses indicate that spaces between the anterior dentition during anterior retraction are beneficial for decreasing the tendency for extrusion of the anterior dentition and require provision of anchorage. Appropriate spaces can be designed to lest the lingual tipping and extrusion effect of the anterior teeth while simultaneously reducing the maximum stresses on PDLs.
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Affiliation(s)
- Yuan Cao
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Zhi-Wei Wang
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Da Chen
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Lu Liu
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Deng-Xin Li
- Jiuquan Satellite Launch Centre, Jiuquan, 732750, Gansu, China
| | - Ni Li
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Si-Qi Ying
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi International Joint Research Center for Oral Diseases, Center for Tissue Engineering, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Xin Liu
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
| | - Fang Jin
- State key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
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Ying P, Chen C, Lu Z, Chen S, Zhang M, Cai Y, Zhang F, Huang J, Fan L, Ning C, Li Y, Wang W, Geng H, Liu Y, Tian W, Yang Z, Liu J, Huang C, Yang X, Xu B, Li H, Zhu X, Li N, Li B, Wei Y, Zhu Y, Tian J, Miao X. Genome-wide enhancer-gene regulatory maps link causal variants to target genes underlying human cancer risk. Nat Commun 2023; 14:5958. [PMID: 37749132 PMCID: PMC10520073 DOI: 10.1038/s41467-023-41690-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 09/14/2023] [Indexed: 09/27/2023] Open
Abstract
Genome-wide association studies have identified numerous variants associated with human complex traits, most of which reside in the non-coding regions, but biological mechanisms remain unclear. However, assigning function to the non-coding elements is still challenging. Here we apply Activity-by-Contact (ABC) model to evaluate enhancer-gene regulation effect by integrating multi-omics data and identified 544,849 connections across 20 cancer types. ABC model outperforms previous approaches in linking regulatory variants to target genes. Furthermore, we identify over 30,000 enhancer-gene connections in colorectal cancer (CRC) tissues. By integrating large-scale population cohorts (23,813 cases and 29,973 controls) and multipronged functional assays, we demonstrate an ABC regulatory variant rs4810856 associated with CRC risk (Odds Ratio = 1.11, 95%CI = 1.05-1.16, P = 4.02 × 10-5) by acting as an allele-specific enhancer to distally facilitate PREX1, CSE1L and STAU1 expression, which synergistically activate p-AKT signaling. Our study provides comprehensive regulation maps and illuminates a single variant regulating multiple genes, providing insights into cancer etiology.
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Grants
- Distinguished Young Scholars of China (NSFC-81925032), Key Program of National Natural Science Foundation of China (NSFC-82130098), the Fundamental Research Funds for the Central Universities (2042022rc0026, 2042023kf1005),Knowledge Innovation Program of Wuhan (2023020201010060).
- Youth Program of National Natural Science Foundation of China (NSFC-82003547), Program of Health Commission of Hubei Province (WJ2023M045) and Fundamental Research Funds for the Central Universities (WHU: 2042022kf1031).
- The National Science Fund for Excellent Young Scholars (NSFC-82322058), Program of National Natural Science Foundation of China (NSFC-82103929, NSFC-82273713), Young Elite Scientists Sponsorship Program by cst(2022QNRC001), National Science Fund for Distinguished Young Scholars of Hubei Province of China (2023AFA046), Fundamental Research Funds for the Central Universities (WHU:2042022kf1205) and Knowledge Innovation Program of Wuhan (whkxjsj011, 2023020201010073).
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Affiliation(s)
- Pingting Ying
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Can Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Zequn Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Shuoni Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Ming Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Fuwei Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Jinyu Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Linyun Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Caibo Ning
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yanmin Li
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Wenzhuo Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Hui Geng
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yizhuo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Wen Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Zhiyong Yang
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jiuyang Liu
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Chaoqun Huang
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Xiaojun Yang
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Bin Xu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430060, China
| | - Heng Li
- Department of Urology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xu Zhu
- Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Bin Li
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yongchang Wei
- Department of Gastrointestinal Oncology, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China.
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China.
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China.
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Fang H, Hou YR, Huang HY, Wu DW, Jia SP, Tang Y, Li N. [International comparison and assessment of the quality of drug clinical trial implementation in China based on scientific regulatory system]. Zhonghua Zhong Liu Za Zhi 2023; 45:1-7. [PMID: 37749051 DOI: 10.3760/cma.j.cn112152-20230805-00060] [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: 09/27/2023]
Abstract
With the rapid development of clinical research and the continuous enhancement of innovation capability in China, the quality of clinical research under China's scientific regulatory system has drawn widespread attention. This study evaluated the quality results of China's drug clinical trials implementation, compared the scientific regulatory systems of clinical research quality between China and the United States, analyzed real-world clinical application on the approval of new anti-tumor drugs through clinical trials, in order to analyze China's status and level of clinical trial implementation quality in the international industry, and explore the advantages and value of China's clinical research scientific regulation by collecting clinical trial data inspections disclosed by regulatory agencies in both China and the United States, as well as verifying information on the approval of new anti-tumor drugs.
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Affiliation(s)
- H Fang
- Department of Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y R Hou
- Department of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - H Y Huang
- Department of Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D W Wu
- Department of Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S P Jia
- Department of Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Tang
- Department of Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Department of Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Li MJ, Chen HL, Ju YY, Zeng LJ, Li N. [A cross-sectional survey and influencing factors analysis of knowledge, attitude, and behavior of enteral nutrition implemented by nurses in burn intensive care unit]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:874-881. [PMID: 37805804 DOI: 10.3760/cma.j.cn501225-20220522-00198] [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: 10/09/2023]
Abstract
Objective: To investigate the status of knowledge, attitude, and behavior of enteral nutrition implemented by nurses in burn intensive care unit (BICU) and analyze its influencing factors. Methods: A multi-center cross-sectional survey research method was used. On May 8th, 2022, 107 BICU nurses who met the inclusion criteria were selected from the burn departments of the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Guangdong Provincial People's Hospital, the First Affiliated Hospital of Guangxi Medical University, the Affiliated Hospital of Qinghai University, the Second Affiliated Hospital of Air Force Medical University, the Affiliated Hospital of Nantong University, Guiyang Steel Factory Staff Hospital, and the Second Affiliated Hospital of Kunming Medical University. The self-made nurses' enteral nutrition nursing knowledge-attitude-behavior questionnaire for severely burned patients was used to investigate the nurses' gender, age, working years, professional title, position, highest educational background, and whether they received systematic training in knowledge of enteral nutrition, the scores of each factor, and the total scores of knowledge, attitude, and behavior dimensions of enteral nutrition in nurses. The nurses were classified according to the general data, and the total scores of their knowledge, attitude, and behavior of enteral nutrition were calculated. Data were statistically analyzed with independent sample t test, one-way analysis of variance, Mann-Whitney U test, and Kruskal-Wallis H test. According to the results of univariate analysis and combined with clinical experience and significance, the generalized linear model analysis was carried out to screen the independent influencing factors of the total scores of knowledge, attitude, and behavior of enteral nutrition in BICU nurses. Results: A total of 107 nurses were surveyed, and 107 valid questionnaires were collected, with an effective recovery rate of 100%. In the BICU nurses' enteral nutrition knowledge-attitude-behavior questionnaire, the total scores of knowledge, attitude, and behavior were 44±13, 87±15, and 70±19, respectively. Most of the BICU nurses in this survey were female, aged 22-48 (31±6) years, and the number of nurses worked for 1-5, 6-10, and ≥11 years was evenly distributed. The majority of the professional titles of nurses were nurses, positions were responsible nurses, and the highest educational background was undergraduate. Forty-four nurses received systematic training in knowledge of enteral nutrition. There were statistically significant differences in the total scores of knowledge of enteral nutrition among BICU nurses with different ages, working years, professional titles, positions, highest educational background, and whether they received systematic training in knowledge of enteral nutrition (with H values of 27.36, 15.27, and 10.19, respectively, Z values of -3.33, -2.59, and -6.46, respectively, P<0.05). There were no statistically significant differences in the total scores of attitude and behavior of enteral nutrition among BICU nurses with different gender, ages, working years, professional titles, positions, highest educational background, and whether they received systematic training in knowledge of enteral nutrition (P>0.05). Age (26-30, 31-35, and ≥36 years old), highest educational background (undergraduate), and the systematic training received in enteral nutrition knowledge were the independent influencing factors for the total score of knowledge of enteral nutrition in BICU nurses (with 95% confidence intervals of 0.12-0.36, 0-0.30, 0.03-0.31, 0.01-0.32, and 0.19-0.40, respectively, standardized regression coefficients of 0.24, 0.15, 0.17, 0.17, and 0.29, respectively, P<0.05). There were no independent influencing factors for the total scores of enteral nutrition attitude and behavior of BICU nurses in different characteristics (P>0.05). Conclusions: The BICU nurses have low cognitive level in the implementation of enteral nutrition, their concept needs to be updated in time, and their behavior needs to be further standardized. Age (26-30, 31-35, and ≥36 years old), highest educational background (undergraduate), and the systematic training received in enteral nutrition knowledge were the independent influencing factors for the knowledge of enteral nutrition in BICU nurses.
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Affiliation(s)
- M J Li
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - H L Chen
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - Y Y Ju
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - L J Zeng
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
| | - N Li
- Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China
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