1
|
Zhang CY, Gu T, Xia S, Wang Y, Li J. [Salivary carcinoma showing thymus-like differentiation: clinicopathological analysis of 7 cases]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:480-486. [PMID: 38637002 DOI: 10.3760/cma.j.cn112144-20231211-00290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Objective: To analyze the clinicopathological features of salivary carcinoma with thymus-like differentiation(CASTLE). Methods: Cases diagnosed with salivary CASTLE from January 2020 to December 2023 were collected and selected from the Department of Oral Pathology, Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine. A total of 7 cases of salivary CASTLE were identified. All the cases originated from parotid. There were 3 males and 4 females. The patients' age range was 11-70 years.The clinical, microscopic, immunohistochemical and prognostic features of these cases were analyzed. Results: The duration of disease ranged from 1 month to 1 year, and 1 patient had facial numbness and 1 with swelling sensation occasionally. Radiographically, 4 cases showed malignant signs. Microscopically, 4 cases involved in parotid gland, and all the tumors had different degrees of lymphoid tissue background. The tumor cells arranged in nests, 5 cases with lymphoepithelial carcinoma-like and 2 cases with squamous cell carcinoma morphology. The tumor cells expressed CD5 and CD117 proteins diffusely in lymphoepithelial carcinoma-like cases. However, the tumor cells expressed CD5 diffusely and CD117 focally in cases with squamous cell carcinoma morphology. All the cases had no Epstein-Barr virus infection. Among the 6 patients with follow-up information, all of them underwent postoperative radiotherapy, and none of them had local recurrence and lymph node metastasis. Conclusions: Salivary CASTLE is a rare tumor, it should be distinguished from lymphoepithelial carcinoma and squamous cell carcinoma. The patients often have better prognosis and CD5 protein expression has a valuable role in the differential diagnosis.
Collapse
Affiliation(s)
- C Y Zhang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - T Gu
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - S Xia
- Department of Oral Pathology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210018, China
| | - Y Wang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - J Li
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| |
Collapse
|
2
|
Shen Z, Zhang CY, Gull T, Zhang S. Comparison of genotypic and phenotypic antimicrobial resistance profiles of Salmonella enterica isolates from poultry diagnostic specimens. J Vet Diagn Invest 2024:10406387241242118. [PMID: 38571400 DOI: 10.1177/10406387241242118] [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] [Indexed: 04/05/2024] Open
Abstract
The spread of antimicrobial-resistant bacteria is a significant concern, as it can lead to increased morbidity and mortality in both humans and animals. Whole-genome sequencing (WGS) is a powerful tool that can be used to conduct a comprehensive analysis of the genetic basis of antimicrobial resistance (AMR). We compared the phenotypic and genotypic AMR profiles of 97 Salmonella isolates derived from chicken and turkey diagnostic samples. We focused AMR analysis on 5 antimicrobial classes: aminoglycoside, beta-lactam, phenicol, tetracycline, and trimethoprim. The overall sensitivity and specificity of WGS in predicting phenotypic antimicrobial resistance in the Salmonella isolates were 93.4% and 99.8%, respectively. There were 16 disagreement instances, including 15 that were phenotypically resistant but genotypically susceptible; the other instance involved phenotypic susceptibility but genotypic resistance. Of the isolates examined, 67 of 97 (69%) carried at least 1 resistance gene, with 1 isolate carrying as many as 12 resistance genes. Of the 31 AMR genes analyzed, 16 were identified as aminoglycoside-resistance genes, followed by 4 beta-lactam-resistance, 3 tetracycline-resistance, 2 sulfonamide-resistance, and 1 each of fosfomycin-, quinolone-, phenicol-, trimethoprim-, bleomycin-, and colistin-resistance genes. Most of the resistance genes found were located on plasmids.
Collapse
Affiliation(s)
- Zhenyu Shen
- Veterinary Medical Diagnostic Laboratory and Department of Veterinary Pathobiology, College Veterinary Medicine, University of Missouri-Columbia, Columbia, MO, USA
| | - C Y Zhang
- Veterinary Medical Diagnostic Laboratory and Department of Veterinary Pathobiology, College Veterinary Medicine, University of Missouri-Columbia, Columbia, MO, USA
| | - Tamara Gull
- Veterinary Medical Diagnostic Laboratory and Department of Veterinary Pathobiology, College Veterinary Medicine, University of Missouri-Columbia, Columbia, MO, USA
| | - Shuping Zhang
- Veterinary Medical Diagnostic Laboratory and Department of Veterinary Pathobiology, College Veterinary Medicine, University of Missouri-Columbia, Columbia, MO, USA
| |
Collapse
|
3
|
Li XC, Li CX, Zhang H, Cheng F, Zhang F, Pu LY, Zhang CY, Wang K, Kong LB, Qian XF, Li DH, Lu WX, Wang P, Yao AH, Bai JF, Wu XF, Chen RX, Wang XH. [Surgical treatment and prognosis analysis of hilar cholangiocarcinoma]. Zhonghua Wai Ke Za Zhi 2024; 62:290-301. [PMID: 38432670 DOI: 10.3760/cma.j.cn112139-20231221-00296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Objective: To investigate the surgical treatment effect and prognostic factors of hilar cholangiocarcinoma. Methods: This is an ambispective cohort study. From August 2005 to December 2022,data of 510 patients who diagnosed with hilar cholangiocarcinoma and underwent surgical resection at the Hepatobiliary Center of the First Affiliated Hospital of Nanjing Medical University were retrospectively collected. In the cohort,there were 324 males and 186 females,with an age of (M (IQR)) 63(13)years (range:25 to 85 years). The liver function at admission was Child-Pugh A (343 cases,67.3%) and Child-Pugh B (167 cases,32.7%). Three hundred and seventy-two(72.9%) patients had jaundice symptoms and the median total bilirubin was 126.3(197.6) μmol/L(range: 5.4 to 722.8 μmol/L) at admission. Two hundred and fourty-seven cases (48.4%) were treated with percutaneous transhepatic cholangial drainage or endoscopic nasobiliary drainage before operation. The median bilirubin level in the drainage group decreased from 186.4 μmol/L to 85.5 μmol/L before operation. Multivariate Logistic regression was used to identify the influencing factors for R0 resection,and Cox regression was used to construct multivariate prediction models for overall survival(OS) and disease-free survival(DFS). Results: Among 510 patients who underwent surgical resection,Bismuth-Corlett type Ⅲ-Ⅳ patients accounted for 71.8%,among which 86.1% (315/366) underwent hemi-hepatectomy,while 81.9% (118/144) underwent extrahepatic biliary duct resection alone in Bismuch-Corlett type Ⅰ-Ⅱ patients. The median OS time was 22.8 months, and the OS rates at 1-,3-,5-and 10-year were 72.2%,35.6%,24.8% and 11.0%,respectively. The median DFS time was 15.2 months,and the DFS rates was 66.0%,32.4%,20.9% and 11.0%,respectively. The R0 resection rate was 64.5% (329/510), and the OS rates of patients with R0 resection at 1-,3-,5-and 10-year were 82.5%, 48.6%, 34.4%, 15.2%,respectively. The morbidity of Clavien-Dindo grade Ⅲ-Ⅴ complications was 26.1%(133/510) and the 30-day mortality was 4.3% (22/510). Multivariate Logistic regression indicated that Bismuth-Corlett type Ⅰ-Ⅲ (P=0.009), hemi-hepatectomy and extended resection (P=0.001),T1 and T2 patients without vascular invasion (T2 vs. T1:OR=1.43 (0.61-3.35),P=0.413;T3 vs. T1:OR=2.57 (1.03-6.41), P=0.010;T4 vs. T1, OR=3.77 (1.37-10.38), P<0.01) were more likely to obtain R0 resection. Preoperative bilirubin,Child-Pugh grade,tumor size,surgical margin,T stage,N stage,nerve infiltration and Edmondson grade were independent prognostic factors for OS and DFS of hilar cholangiocarcinoma patients without distant metastasis. Conclusions: Radical surgical resection is necessary to prolong the long-term survival of hilar cholangiocarcinoma patients. Hemi-hepatectomy and extended resection,regional lymph node dissection and combined vascular resection if necessary,can improve R0 resection rate.
Collapse
Affiliation(s)
- X C Li
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - C X Li
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - H Zhang
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - F Cheng
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - F Zhang
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - L Y Pu
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - C Y Zhang
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - K Wang
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - L B Kong
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - X F Qian
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - D H Li
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - W X Lu
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - P Wang
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - A H Yao
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J F Bai
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - X F Wu
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - R X Chen
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - X H Wang
- Hepatobiliary Center, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| |
Collapse
|
4
|
Wu Y, Zhang CY, Liu X, Wang L, Li M, Li Y, Xiao X. Shared genetic architecture and causal relationship between sleep behaviors and lifespan. Transl Psychiatry 2024; 14:108. [PMID: 38388528 PMCID: PMC10883970 DOI: 10.1038/s41398-024-02826-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 02/07/2024] [Accepted: 02/13/2024] [Indexed: 02/24/2024] Open
Abstract
Poor sleep health is associated with a wide array of increased risk for cardiovascular, metabolic and mental health problems as well as all-cause mortality in observational studies, suggesting potential links between sleep health and lifespan. However, it has yet to be determined whether sleep health is genetically or/and causally associated with lifespan. In this study, we firstly studied the genome-wide genetic association between four sleep behaviors (short sleep duration, long sleep duration, insomnia, and sleep chronotype) and lifespan using GWAS summary statistics, and both sleep duration time and insomnia were negatively correlated with lifespan. Then, two-sample Mendelian randomization (MR) and multivariable MR analyses were applied to explore the causal effects between sleep behaviors and lifespan. We found that genetically predicted short sleep duration was causally and negatively associated with lifespan in univariable and multivariable MR analyses, and this effect was partially mediated by coronary artery disease (CAD), type 2 diabetes (T2D) and depression. In contrast, we found that insomnia had no causal effects on lifespan. Our results further confirmed the negative effects of short sleep duration on lifespan and suggested that extension of sleep may benefit the physical health of individuals with sleep loss. Further attention should be given to such public health issues.
Collapse
Affiliation(s)
- Yong Wu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, Hubei, China
- Affiliated Wuhan Mental Health Center, Jianghan University, Wuhan, Hubei, China
| | - Chu-Yi Zhang
- Yunnan Key Laboratory of Animal Models and Human Disease Mechanisms, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xiaolan Liu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, Hubei, China
- Affiliated Wuhan Mental Health Center, Jianghan University, Wuhan, Hubei, China
| | - Lu Wang
- Yunnan Key Laboratory of Animal Models and Human Disease Mechanisms, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Ming Li
- Yunnan Key Laboratory of Animal Models and Human Disease Mechanisms, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yi Li
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, Hubei, China.
- Affiliated Wuhan Mental Health Center, Jianghan University, Wuhan, Hubei, China.
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China.
| | - Xiao Xiao
- Yunnan Key Laboratory of Animal Models and Human Disease Mechanisms, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
5
|
Feng YJ, Wang BQ, Cao LL, Dong LY, Zhang CY, Hu DJ, Zhou Z, Cao JX. Efficacy of Fire-Needle Therapy in Improving Neurological Function Following Cerebral Infarction and Its Effect on Intestinal Flora Metabolites. Int J Gen Med 2024; 17:387-399. [PMID: 38333018 PMCID: PMC10850761 DOI: 10.2147/ijgm.s450027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/16/2024] [Indexed: 02/10/2024] Open
Abstract
Objective This study was to investigate the mechanism of action and clinical efficacy of fire-needle therapy in improving neurological function in patients with acute cerebral infarction (identified as a wind-phlegm-blood stasis syndrome in traditional Chinese medicine). Methods We included patients diagnosed with acute cerebral infarction (wind-phlegm-blood stasis syndrome) admitted to the Encephalopathy and Acupuncture Center of the Second Affiliated Hospital of Tianjin University of Chinese Medicine. We randomly allocated them into the treatment and control groups, with 45 cases in each group. Acupuncture treatments that focused on regulating the mind and dredging the collaterals were used in the control group, while the treatment group additionally received fire-needle therapy. Our indicators included the National Institutes of Health Stroke Scale (NIHSS) scores, the Fugl-Meyer Assessment (FMA) scale, peripheral blood tumor necrosis factor-α (TNF-α), interleukin-17 (IL-17), hypersensitivity C-reactive protein (hs-CRP), and intestinal metabolites short-chain fatty acids (SCFAs). We measured these indicators before treatment and 14 days after treatment. Results The post-treatment NIHSS scores of the two groups were significantly reduced (P < 0.05), and the treatment group showed a more significant decline in the score when compared to the control group (P < 0.05). The treatment group showing significant improvement in the domains of reflex activity, mobility, cooperative movement, and finger movement (P < 0.05). Both groups showed a significant decrease in the IL-17 and hs-CRP levels (P < 0.05), with the treatment group demonstrating a significant declining trend when compared to the control group (P < 0.05). The levels of acetic acid, propionic acid, butyric acid, and valeric acid all increased significantly in the two groups (P < 0.05), with acetic acid and butyric acid increasing significantly in the treatment group when compared to the control group (P < 0.05). Clinical efficacy rate: 78.6% of patients in the treatment group had an excellent rate, whereas it was 30.0% in the control group, and the difference was statistically significant (P < 0.001). Conclusion Fire-needle therapy was effective in upregulating the SCFA content in patients with acute cerebral infarction (wind-phlegm-blood stasis syndrome), inhibiting the level of the inflammatory response, and improving the recovery of neurological functions. Clinical registration number Registration website link: https://www.chictr.org.cn. Registration date: 2022/9/27. Registration number: ChiCTR2200064122.
Collapse
Affiliation(s)
- Yi-Jun Feng
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China
| | - Bing-Quan Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China
| | - Lu-Lu Cao
- Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China
| | - Li-Ying Dong
- Department of Encephalopathy and Acupuncture, Second Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300250, People’s Republic of China
| | - Chu-Yi Zhang
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China
| | - Dong-Jian Hu
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China
| | - Zhen Zhou
- Department of Encephalopathy and Acupuncture, Second Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300250, People’s Republic of China
| | - Jin-Xiu Cao
- Department of Geriatrics, Shanghai Eighth People’s Hospital, Shanghai, 200235, People’s Republic of China
| |
Collapse
|
6
|
Yang T, Chen HJ, Zhang CY, He D, Yuan W. Association of blood heavy metal concentrations with hearing loss: a systematic review and meta-analysis. Public Health 2024; 227:95-102. [PMID: 38142497 DOI: 10.1016/j.puhe.2023.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 08/24/2023] [Accepted: 10/09/2023] [Indexed: 12/26/2023]
Abstract
OBJECTIVES This study aimed to assess the associations between blood heavy metal concentrations and hearing loss. STUDY DESIGN This was a systematic review and meta-analysis. METHODS A comprehensive literature search was performed using Embase, PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Chinese Biomedical Literature, Wanfang and Weipu databases. Ten studies were included, and a random or fixed-effects model was used for the meta-analysis. Review Manager 5.4 software was used for data synthesis, and Stata 15.1 software was used for the publication bias and sensitivity analyses. RESULTS Blood lead concentrations were significantly and substantially associated with hearing loss (mean difference (MD) = 1.14; 95% confidence interval [CI] = 0.03, 2.26; P = 0.04; I2 = 81%), and iron deficiency was significantly related to hearing loss (MD = -0.42; 95% CI = -0.66, -0.18; P = 0.12; I2 = 60%). CONCLUSIONS These results suggest an association between blood heavy metal concentrations and hearing loss. However, there were limitations: confounding factors, lack of description for the specific methods of blinding and independent verification of case definition, limited sample size, Chinese publications comprising half of the primary data and the lack of assessment of the relationship between different blood heavy metal concentrations and the severity of hearing loss. Therefore, larger and well-designed prospective cohort studies are required for further exploration.
Collapse
Affiliation(s)
- T Yang
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - H J Chen
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - C Y Zhang
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - D He
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - W Yuan
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| |
Collapse
|
7
|
Zhang CY, Chen H, Zhang H, Cheng J, Zhao YL. [Analysis of the reported incidence and epidemiological characteristics of pulmonary tuberculosis among health-care workers in China,2011-2020]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:1103-1109. [PMID: 37914421 DOI: 10.3760/cma.j.cn112147-20230825-00107] [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: 11/03/2023]
Abstract
Objective: To analyze the reported incidence and epidemiological characteristics of pulmonary tuberculosis (PTB) among healthcare workers (HCWs) nationwide from 2011 to 2020. Methods: The national surveillance data of PTB from 2011 to 2020 were used to analyze the reported incidence and epidemiological characteristics of PTB among HCWs, and the average annual change trends were calculated. Results: The reported incidence of PTB among HCWs in China first decreased and then increased, with an average annual percentage change (AAPC) of -1.1%, from 37.0/100 000 in 2011 to 30.0/100 000 in 2015, and then to 33.4/100 000 in 2020. From 2011 to 2019, the risk of PTB in males was 1.02-1.37 times higher than that in females, and in 2020, the risk of PTB in males was 0.86 times higher than that in females. The risk of pulmonary tuberculosis in males showed a rapid downward trend, and the AAPC was -3.8%. Taking the 45-<55 age group as a reference, the risk of PTB in the <25, 25-<35, 55-<60 and≥60 age groups was 4.64, 1.97, 1.28 and 1.47 times, respectively. There was no significant difference between the 35-<45 age group and the 44-<55 age group. The reported incidence rates in the eastern, central and western China were 25.0/100 000, 33.2/100 000 and 44.0/100 000, respectively. The incidence rates in the central and western China were 1.33 and 1.76 times higher than that in the eastern China, and the AAPCs were -1.2%, -0.2%, and -1.6% in the eastern, central, and western China, respectively. Conclusions: From 2011 to 2020, the reported incidence of PTB among HCWs in China was generally at a low level, but there was an upward trend since 2015. It is necessary to strengthen TB prevention and control among this group, especially focusing on key provinces in the central and western China. At the same time, it is necessary to strengthen the entry-level and routine training for young HCWs in TB infection control.
Collapse
Affiliation(s)
- C Y Zhang
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Chen
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Zhang
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Cheng
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Y L Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
8
|
Xia L, Li ZQ, Xie ZN, Zhang QX, Li MY, Zhang CY, Chen YZ. [Obstructive sleep apnea and type 2 diabetes: a bidirectional Mendelian randomization study]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:974-979. [PMID: 37840162 DOI: 10.3760/cma.j.cn115330-20230803-00032] [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: 10/17/2023]
Abstract
Objective: This study aims to explore the causal relationship between obstructive sleep apnea (OSA) and type 2 diabetes (T2D) using bidirectional Mendelian randomization (MR). Methods: The genetic data related to OSA were obtained from the FinnGen Biobank (Ncase=16, 761, Ncontrol=201, 194) in the Genome-wide association study (GWAS). Three single nucleotide polymorphism (SNP) were screened out as instrumental variable (IV) of OSA. The genetic data related to T2D were derived from a large Meta-analysis of GWAS (Ncase=62, 892, Ncontrol=596, 424), 114 SNP were selected as IV of T2D. Multiple MR methods were used for analysis and inverse variance weighted (IVW) was performed as main method. The sensitivity of MR analytic results was analyzed using MR-Egger and other methods, and the IV was evaluated using F-value statistics. Results: MR analysis showed that OSA was significantly associated with increased risk of T2D (OR=2.016, 95%CI: 1.185-3.429, P<0.05). There was no significant relationship between T2D and OSA risk (OR=1.030, 95%CI: 0.980-1.082, P=0.238). There was heterogeneity in both-way results (OSA➝T2D, P=1.808×10-11; T2D➝OSA, P=1.729×10-7), and no horizontal pleiotropy (OSA➝T2D, P=0.477; T2D➝OSA, P=0.349). IV of OSA and T2D-selected in the study were strong instrumental variables (F statistics of OSA=20.543; F statistics of T2D=30.117). Conclusion: Our results supported that OSA was a risk factor for T2D, but T2D had no significant impact on the incidence of OSA. Blood glucose monitoring and diabetes screening in OSA patients might be beneficial to the early detection and intervention of T2D.
Collapse
Affiliation(s)
- L Xia
- School of clinical medicine, Dali University, Dali 671000, China
| | - Z Q Li
- School of clinical medicine, Dali University, Dali 671000, China
| | - Z N Xie
- Department of Otorhinolaryngology, Chongqing Armed Police Corps Hospital, Chongqing 400061, China
| | - Q X Zhang
- Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China
| | - M Y Li
- Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China
| | - C Y Zhang
- Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China
| | - Y Z Chen
- Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China
| |
Collapse
|
9
|
Wang LQ, Zhang CY, Chen JJ, Lin WJ, Yu GY, Deng LS, Ji XR, Duan XM, Xiong YS, Jiang GJ, Wang JT, Liao XW, Liu LH. Ru-Based Organometallic Agents Bearing Phenyl Hydroxide: Synthesis and Antibacterial Mechanism Study against Staphylococcus aureus. ChemMedChem 2023; 18:e202300306. [PMID: 37527976 DOI: 10.1002/cmdc.202300306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/17/2023] [Accepted: 08/01/2023] [Indexed: 08/03/2023]
Abstract
The development of antimicrobial agents with novel model of actions is a promising strategy to combat multiple resistant bacteria. Here, three ruthenium-based complexes, which acted as potential antimicrobial agents, were synthesized and characterized. Importantly, three complexes all showed strong bactericidal potency against Staphylococcus aureus. In particular, the most active one has a MIC of 6.25 μg/mL. Mechanistic studies indicated that ruthenium complex killed S. aureus by releasing ROS and damaging the integrity of bacterial cell membrane. In addition, the most active complex not only could inhibit the biofilm formation and hemolytic toxin secretion of S. aureus, but also serve as a potential antimicrobial adjuvant as well, which showed synergistic effects with eight traditional antibiotics. Finally, both G. mellonella larva infection model and mouse skin infection model all demonstrated that ruthenium complex also showed significant efficacy against S. aureus in vivo. In summary, our study suggested that ruthenium-based complexes bearing a phenyl hydroxide are promising antimicrobial agents for combating S. aureus.
Collapse
Affiliation(s)
- L Q Wang
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - C Y Zhang
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - J J Chen
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - W J Lin
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - G Y Yu
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - L S Deng
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - X R Ji
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - X M Duan
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - Y S Xiong
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - G J Jiang
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - J T Wang
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - X W Liao
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, China
| | - L H Liu
- School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, 418000, China
| |
Collapse
|
10
|
Yin MY, Guo L, Zhao LJ, Zhang C, Liu WP, Zhang CY, Huo JH, Wang L, Li SW, Zheng CB, Xiao X, Li M, Wang C, Chang H. Reduced Vrk2 expression is associated with higher risk of depression in humans and mediates depressive-like behaviors in mice. BMC Med 2023; 21:256. [PMID: 37452335 PMCID: PMC10349461 DOI: 10.1186/s12916-023-02945-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 06/15/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have reported single-nucleotide polymorphisms (SNPs) in the VRK serine/threonine kinase 2 gene (VRK2) showing genome-wide significant associations with major depression, but the regulation effect of the risk SNPs on VRK2 as well as their roles in the illness are yet to be elucidated. METHODS Based on the summary statistics of major depression GWAS, we conducted population genetic analyses, epigenome bioinformatics analyses, dual luciferase reporter assays, and expression quantitative trait loci (eQTL) analyses to identify the functional SNPs regulating VRK2; we also carried out behavioral assessments, dendritic spine morphological analyses, and phosphorylated 4D-label-free quantitative proteomics analyses in mice with Vrk2 repression. RESULTS We identified a SNP rs2678907 located in the 5' upstream of VRK2 gene exhibiting large spatial overlap with enhancer regulatory marks in human neural cells and brain tissues. Using luciferase reporter gene assays and eQTL analyses, the depression risk allele of rs2678907 decreased enhancer activities and predicted lower VRK2 mRNA expression, which is consistent with the observations of reduced VRK2 level in the patients with major depression compared with controls. Notably, Vrk2-/- mice exhibited depressive-like behaviors compared to Vrk2+/+ mice and specifically repressing Vrk2 in the ventral hippocampus using adeno-associated virus (AAV) lead to consistent and even stronger depressive-like behaviors in mice. Compared with Vrk2+/+ mice, the density of mushroom and thin spines in the ventral hippocampus was significantly altered in Vrk2-/- mice, which is in line with the phosphoproteomic analyses showing dysregulated synapse-associated proteins and pathways in Vrk2-/- mice. CONCLUSIONS Vrk2 deficiency mice showed behavioral abnormalities that mimic human depressive phenotypes, which may serve as a useful murine model for studying the pathophysiology of depression.
Collapse
Affiliation(s)
- Mei-Yu Yin
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lei Guo
- Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
- School of Basic Medical Science, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Li-Juan Zhao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chen Zhang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
| | - Wei-Peng Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Jin-Hua Huo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Shi-Wu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chang-Bo Zheng
- School of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Chuang Wang
- Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
- School of Basic Medical Science, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
11
|
Yang ZH, Cai X, Ding ZL, Li W, Zhang CY, Huo JH, Zhang Y, Wang L, Zhang LM, Li SW, Li M, Zhang C, Chang H, Xiao X. Identification of a psychiatric risk gene NISCH at 3p21.1 GWAS locus mediating dendritic spine morphogenesis and cognitive function. BMC Med 2023; 21:254. [PMID: 37443018 PMCID: PMC10347724 DOI: 10.1186/s12916-023-02931-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 06/08/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Schizophrenia and bipolar disorder (BD) are believed to share clinical symptoms, genetic risk, etiological factors, and pathogenic mechanisms. We previously reported that single nucleotide polymorphisms spanning chromosome 3p21.1 showed significant associations with both schizophrenia and BD, and a risk SNP rs2251219 was in linkage disequilibrium with a human specific Alu polymorphism rs71052682, which showed enhancer effects on transcriptional activities using luciferase reporter assays in U251 and U87MG cells. METHODS CRISPR/Cas9-directed genome editing, real-time quantitative PCR, and public Hi-C data were utilized to investigate the correlation between the Alu polymorphism rs71052682 and NISCH. Primary neuronal culture, immunofluorescence staining, co-immunoprecipitation, lentiviral vector production, intracranial stereotaxic injection, behavioral assessment, and drug treatment were used to examine the physiological impacts of Nischarin (encoded by NISCH). RESULTS Deleting the Alu sequence in U251 and U87MG cells reduced mRNA expression of NISCH, the gene locates 180 kb from rs71052682, and Hi-C data in brain tissues confirmed the extensive chromatin contacts. These data suggested that the genetic risk of schizophrenia and BD predicted elevated NISCH expression, which was also consistent with the observed higher NISCH mRNA levels in the brain tissues from psychiatric patients compared with controls. We then found that overexpression of NISCH resulted in a significantly decreased density of mushroom dendritic spines with a simultaneously increased density of thin dendritic spines in primary cultured neurons. Intriguingly, elevated expression of this gene in mice also led to impaired spatial working memory in the Y-maze. Given that Nischarin is the target of anti-hypertensive agents clonidine and tizanidine, which have shown therapeutic effects in patients with schizophrenia and patients with BD in preliminary clinical trials, we demonstrated that treatment with those antihypertensive drugs could reduce NISCH mRNA expression and rescue the impaired working memory in mice. CONCLUSIONS We identify a psychiatric risk gene NISCH at 3p21.1 GWAS locus influencing dendritic spine morphogenesis and cognitive function, and Nischarin may have potentials for future therapeutic development.
Collapse
Affiliation(s)
- Zhi-Hui Yang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Zhong-Li Ding
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Wei Li
- Department of Blood Transfusion, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Jin-Hua Huo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yue Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lin-Ming Zhang
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Shi-Wu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chen Zhang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
12
|
Li Y, Li XY, Tang X, Wang R, Zhang CY, Wang SQ, Yuan X, Wang L, Tong ZH, Sun B. [Application of veno-arterio-venous extracorporeal membrane oxygenation in patients with critical respiratory failure combined with refractory shock]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:565-571. [PMID: 37278170 DOI: 10.3760/cma.j.cn112147-20221008-00803] [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: 06/07/2023]
Abstract
Objective: To preliminarily analyze the application experience of veno-arterio-venous extracorporeal membrane oxygenation (VAV-ECMO).The VAV-ECMO is a rescue strategy for patients with extremely critical respiratory failure combined with refractory shock. Methods: From February 2016 to February 2022, the characteristics and outcomes of patients who were started on either veno-venous or veno-arterial ECMO due to respiratory or hemodynamic failure, and then converted to VAV-ECMO in respiratory intensive care unit (ICU) of Beijing Chaoyang Hospital were analyzed. Results: A total of 15 patients underwent VAV-ECMO, aged 53 (40, 65) years, and 11 of whom were male. Within the group, VV-ECMO was initially used in 12 patients due to respiratory failure, but then VAV-ECMO was used due to cardiogenic shock (7/12) and septic shock (4/12), while VAV-ECMO was established in two patients due to lung transplantation. One patient was diagnosed with pneumonia complicated by septic shock, which was initially determined to be VA-ECMO, but then switched to VAV-ECMO because it was difficult to maintain oxygenation. The time from the establishment of VV or VA-ECMO to the switch to VAV-ECMO was 3 (1, 5) days and the VAV-ECMO support time was 5 (2, 8) days. ECMO-related complications were bleeding, mostly in the digestive tract (n=4) and airway hemorrhage (n=4), without intracranial hemorrhage, and poor arterial perfusion of the lower limbs (n=2). Among these 15 patients, the overall ICU mortality was 53.3%. The mortality of patients who received VAV-ECMO due to septic shock and cardiogenic shock was 100% (4/4) and 42.8% (3/7), respectively. Two patients who received VAV-ECMO due to lung transplantation all survived. Conclusion: VAV-ECMO may be a safe and effective treatment for carefully selected patients with critical respiratory failure associated with cardiogenic shock or end-stage lung disease lung transplantation transition, however, patients with septic shock may benefit the least.
Collapse
Affiliation(s)
- Y Li
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - X Y Li
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - X Tang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - R Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - C Y Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - S Q Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - X Yuan
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - L Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - Z H Tong
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - B Sun
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| |
Collapse
|
13
|
Wu Y, Zhang CY, Wang L, Li Y, Xiao X. Genetic Insights of Schizophrenia via Single Cell RNA-Sequencing Analyses. Schizophr Bull 2023:7048714. [PMID: 36805283 DOI: 10.1093/schbul/sbad002] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
BACKGROUND Schizophrenia is a complex and heterogeneous disorder involving multiple regions and types of cells in the brain. Despite rapid progress made by genome-wide association studies (GWAS) of schizophrenia, the mechanisms of the illness underlying the GWAS significant loci remain less clear. STUDY DESIGN We investigated schizophrenia risk genes using summary-data-based Mendelian randomization based on single-cell sequencing data, and explored the types of brain cells involved in schizophrenia through the expression weighted cell-type enrichment analysis. RESULTS We identified 54 schizophrenia risk genes (two-thirds of these genes were not identified using sequencing data of bulk tissues) using single-cell RNA-sequencing data. Further cell type enrichment analysis showed that schizophrenia risk genes were highly expressed in excitatory neurons and caudal ganglionic eminence interneurons, suggesting putative roles of these cells in the pathogenesis of schizophrenia. We also found that these risk genes identified using single-cell sequencing results could form a large protein-protein interaction network with genes affected by disease-causing rare variants. CONCLUSIONS Through integrative analyses using expression data at single-cell levels, we identified 54 risk genes associated with schizophrenia. Notably, many of these genes were only identified using single-cell RNA-sequencing data, and their altered expression levels in particular types of cells, rather than in the bulk tissues, were related to the increased risk of schizophrenia. Our results provide novel insight into the biological mechanisms of schizophrenia, and future single-cell studies are necessary to further facilitate the understanding of the disorder.
Collapse
Affiliation(s)
- Yong Wu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, Hubei, China.,Affiliated Wuhan Mental Health Center, Jianghan University, Wuhan, Hubei, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yi Li
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, Hubei, China.,Affiliated Wuhan Mental Health Center, Jianghan University, Wuhan, Hubei, China.,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| |
Collapse
|
14
|
Shang MY, Zhang CY, Wu Y, Wang L, Wang C, Li M. Genetic associations between bipolar disorder and brain structural phenotypes. Cereb Cortex 2023:7024717. [PMID: 36734292 DOI: 10.1093/cercor/bhad014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 02/04/2023] Open
Abstract
Patients with bipolar disorder (BD) and their first-degree relatives exhibit alterations in brain volume and cortical structure, whereas the underlying genetic mechanisms remain unclear. In this study, based on the published genome-wide association studies (GWAS), the extent of polygenic overlap between BD and 15 brain structural phenotypes was investigated using linkage disequilibrium score regression and MiXeR tool, and the shared genomic loci were discovered by conjunctional false discovery rate (conjFDR) and expression quantitative trait loci (eQTL) analyses. MiXeR estimated the overall measure of polygenic overlap between BD and brain structural phenotypes as 4-53% on a 0-100% scale (as quantified by the Dice coefficient). Subsequent conjFDR analyses identified 54 independent loci (71 risk single-nucleotide polymorphisms) jointly associated with BD and brain structural phenotypes with a conjFDR < 0.05, among which 33 were novel that had not been reported in the previous BD GWAS. Follow-up eQTL analyses in respective brain regions both confirmed well-known risk genes (e.g. CACNA1C, NEK4, GNL3, MAPK3) and discovered novel risk genes (e.g. LIMK2 and CAMK2N2). This study indicates a substantial shared genetic basis between BD and brain structural phenotypes, and provides novel insights into the developmental origin of BD and related biological mechanisms.
Collapse
Affiliation(s)
- Meng-Yuan Shang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| | - Yong Wu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, No. 920 Jianshe Road, Wuhan, 430012, Hubei, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| | - Chuang Wang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| |
Collapse
|
15
|
Yuan J, Zhang CY, Xu L, Wang L, Zhang Y, Wei YJ, Wang X, Xu Y, Feng LM, Xiao X, Wu L, Kang CY, Yang JZ. Discovery of a genome-wide significant locus associated with antidepressant response in Han Chinese population. Asian J Psychiatr 2022; 78:103294. [PMID: 36228427 DOI: 10.1016/j.ajp.2022.103294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 10/07/2022] [Indexed: 11/25/2022]
Affiliation(s)
- Jing Yuan
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Li Xu
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yan Zhang
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yu-Jun Wei
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xin Wang
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yue Xu
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Li-Mei Feng
- Department of Pharmacy, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lei Wu
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chuan-Yuan Kang
- Department of Psychosomatic Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Jian-Zhong Yang
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
| |
Collapse
|
16
|
Shang MY, Wu Y, Zhang CY, Qi HX, Zhang Q, Huo JH, Wang L, Wang C, Li M. Bidirectional genetic overlap between bipolar disorder and intelligence. BMC Med 2022; 20:464. [PMID: 36447210 PMCID: PMC9710050 DOI: 10.1186/s12916-022-02668-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 11/17/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a highly heritable psychiatric illness exhibiting substantial correlation with intelligence. METHODS To investigate the shared genetic signatures between BD and intelligence, we utilized the summary statistics from genome-wide association studies (GWAS) to conduct the bivariate causal mixture model (MiXeR) and conjunctional false discovery rate (conjFDR) analyses. Subsequent expression quantitative trait loci (eQTL) mapping in human brain and enrichment analyses were also performed. RESULTS Analysis with MiXeR suggested that approximately 10.3K variants could influence intelligence, among which 7.6K variants were correlated with the risk of BD (Dice: 0.80), and 47% of these variants predicted BD risk and intelligence in consistent allelic directions. The conjFDR analysis identified 37 distinct genomic loci that were jointly associated with BD and intelligence with a conjFDR < 0.01, and 16 loci (43%) had the same directions of allelic effects in both phenotypes. Brain eQTL analyses found that genes affected by the "concordant loci" were distinct from those modulated by the "discordant loci". Enrichment analyses suggested that genes related to the "concordant loci" were significantly enriched in pathways/phenotypes related with synapses and sleep quality, whereas genes associated with the "discordant loci" were enriched in pathways related to cell adhesion, calcium ion binding, and abnormal emotional phenotypes. CONCLUSIONS We confirmed the polygenic overlap with mixed directions of allelic effects between BD and intelligence and identified multiple genomic loci and risk genes. This study provides hints for the mesoscopic phenotypes of BD and relevant biological mechanisms, promoting the knowledge of the genetic and phenotypic heterogeneity of BD. The essential value of leveraging intelligence in BD investigations is also highlighted.
Collapse
Affiliation(s)
- Meng-Yuan Shang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, Ningbo, Zhejiang, China
| | - Yong Wu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, Hubei, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Hao-Xiang Qi
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Qing Zhang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, Ningbo, Zhejiang, China
| | - Jin-Hua Huo
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chuang Wang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang, China. .,School of Basic Medical Science, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
17
|
Xia RH, Hu YH, Zhang CY, Xu SM, Li J. [Comparison of programmed death-ligand 1 protein expression between primary tumors and lymph node metastatic lesions in oral squamous cell carcinoma]. Zhonghua Kou Qiang Yi Xue Za Zhi 2022; 57:1113-1118. [PMID: 36379889 DOI: 10.3760/cma.j.cn112144-20220730-00424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the difference of programmed death-ligand 1 (PD-L1) expression between primary lesions and lymph node metastatic lesions in oral squamous cell carcinoma. Methods: Eighty-two patients diagnosed with oral squamous cell carcinoma from December 2020 to July 2021 in Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University, were enrolled in this study. All the patients underwent neck dissection concurrently and had lymph node metastasis. Among them, there were 28 females and 54 males. The age range was 24-79 years old [(58.6±11.7) years old]. The expression of PD-L1 protein in primary tumors and lymph node metastatic lesions was detected by immunohistochemistry. Combined positive score (CPS) was used to evaluate the PD-L1 expression. And the difference of PD-L1 expression between primary tumors and metastatic lesions was analyzed. Results: Among 82 primary tumors, 9 cases (11%) had PD-L1 CPS<1, 31 cases (38%)≥ 1 and <20, and 42 cases (51%)≥20. Cases with perineural invasion had lower CPS (χ2=6.35, P=0.042). Among 82 matched lymph node metastatic lesions, 9 cases (11%) had CPS<1, 38 cases (46%)≥1 and<20, and 35 cases (43%)≥20. The CPS of 27 pairs (33%) of primary and metastatic lesions were discordant. The statistical results showed that the Kappa value of consistency evaluation was 0.446, indicating that the consistency of PD-L1 CPS in primary and metastatic lesions of OSCC was medium. Conclusions: There are differences in PD-L1 expression between the primary lesion of OSCC and cervical lymph node metastatic lesions, and the consistency is medium. In the routine practice, lymph node metastatic lesions should be carefully used to replace the primary lesion for PD-L1 CPS evaluating.
Collapse
Affiliation(s)
- R H Xia
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - Y H Hu
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - C Y Zhang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - S M Xu
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - J Li
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| |
Collapse
|
18
|
Chen WL, Shi CJ, Xue JQ, Zhang CY, Hu YH, Sun JJ, Wang M, Huang XY, Tian Z. [Establishment of patient-derived salivary gland basal cell adenoma organoids]. Zhonghua Kou Qiang Yi Xue Za Zhi 2022; 57:1141-1146. [PMID: 36379893 DOI: 10.3760/cma.j.cn112144-20220712-00379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To establish an in vitro organoid model of human salivary gland basal cell adenoma (BCA). Methods: Fresh tumor sample from a 66-year-old female patient diagnosed with salivary gland BCA was collected from the Dpartment of Oral pathology, Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine in October 2021. And the organoid culture was performed in vitro in a culture medium based on solid droplets of matrix gel, and the growth of the organoid was observed by inverted microscopy. After 14 days, the organoid was fixed in 10% neutral formalin and made into paraffin blocks by agar pre-embedding paraffin embedding method, sectioned. HE staining, morphological observation and immunohistochemical staining of p63, Ki-67, cytokeratin14 (CK14), β-catenin, S-100 and calponin were used for organoids identification. Results: The established BCA organoids were lobulated nodular locally under light microscopy, with deposition of eosinophilic glass-like material around the nests of organoid cells, similar to the morphological architectures of the parental BCA. Immunohistochemistry showed that organoids expressed CK14, p63, and β-catenin in various degree, which was consistent with the immunophenotypic characteristics of the parental BCA tumor cells. Conclusions: An in vitro culture system of BCA organoids was preliminarily established which provides a new model for the study of the pathogenesis of salivary gland tumors.
Collapse
Affiliation(s)
- W L Chen
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - C J Shi
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - J Q Xue
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - C Y Zhang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - Y H Hu
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - J J Sun
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - M Wang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - X Y Huang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - Z Tian
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
| |
Collapse
|
19
|
Sun P, Wang L, Yang Y, Zhang CY, Yang L, Fang Y, Li M. Common variants associated with AKAP11 expression confer risk of bipolar disorder. Asian J Psychiatr 2022; 77:103271. [PMID: 36179529 DOI: 10.1016/j.ajp.2022.103271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 08/30/2022] [Accepted: 09/23/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Ping Sun
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Qingdao Mental Health Center, Qingdao, Shandong, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yu Yang
- Qingdao Mental Health Center, Qingdao, Shandong, China; Binzhou Medical University, Yantai, Shandong, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lu Yang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiru Fang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; State Key Laboratory of Neuroscience, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
20
|
Wu Y, Wang L, Zhang CY, Li M, Li Y. Genetic similarities and differences among distinct definitions of depression. Psychiatry Res 2022; 317:114843. [PMID: 36115168 DOI: 10.1016/j.psychres.2022.114843] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/22/2022] [Accepted: 09/09/2022] [Indexed: 01/04/2023]
Abstract
Depression is a common and complex psychiatric illness with considerable heritability. Genome-wide association studies (GWAS) have been conducted among different definitions of depression based on different diagnostic criteria. However, the heritability explained by different depression GWAS and the identified loci varied widely. To understand the genetic architectures of different definitions of depression, we conducted a series of genetic analyses including linkage disequilibrium score regression (LDSC), Mendelian randomization, and polygenic overlap quantification and identification. Different definitions of depression and other common psychiatric traits were included in this analysis. We found that although genetic correlations between different definitions of depression were relatively high, they showed substantially different genetic correlation and causality with other psychiatric traits. Using bivariate causal mixture mode (MiXeR) and conjunctional false discovery rate (conjFDR) approach, we observed both shared and unique risk loci across different definitions of depression. Further functional mapping with expression quantitative trait loci (eQTL) information from multiple brain tissues and single cell types indicated distinct genes underlying different definitions of depression, and pathways associated with synapses were significantly enriched in the illness. Our study showed that the genetic architectures of different definitions of depression were distinct and genetic studies of depression should be conducted more cautious.
Collapse
Affiliation(s)
- Yong Wu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, 430012, Hubei, China.
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Yi Li
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, Wuhan, 430012, Hubei, China; Department of Psychiatry, Wuhan Mental Health Center, Wuhan, 430012, Hubei, China; Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, 430012, Hubei, China.
| |
Collapse
|
21
|
Zhang Y, Zhang CY, Li SW, Yuan J, Xu L, Wei YJ, Zhou F, Wang JY, Huo JH, Wang L, Feng LM, Kang CY, Yang JZ. A functional population-specific variant rs77416373 in the Ca V2.1 gene is associated with antidepressant treatment response in Han Chinese subjects with major depressive disorder. Asian J Psychiatr 2022; 77:103272. [PMID: 36181755 DOI: 10.1016/j.ajp.2022.103272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 08/30/2022] [Accepted: 09/23/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Yan Zhang
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Shi-Wu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Jing Yuan
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Li Xu
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yu-Jun Wei
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Fang Zhou
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Jun-Yang Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Jin-Hua Huo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Li-Mei Feng
- Department of Pharmacy, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chuan-Yuan Kang
- Department of Psychosomatic Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Jian-Zhong Yang
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
| |
Collapse
|
22
|
Xia YX, Zhang H, Zhang F, Li XC, Rong DW, Tang WW, Cao HS, Zhao J, Wang P, Pu LY, Qian XF, Cheng F, Wang K, Kong LB, Zhang CY, Li DH, Song JH, Yao AH, Wu XF, Wu C, Wang XH. [Efficacy and safety of neoadjuvant immunotherapy for hepatocellular carcinoma]. Zhonghua Wai Ke Za Zhi 2022; 60:688-694. [PMID: 35775262 DOI: 10.3760/cma.j.cn112139-20220408-00150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To study the surgical safety and efficacy of preoperative neoadjuvant therapy with immune checkpoint inhibitors combined with anti-angiogenic drugs in patients with China liver cancer staging(CNLC)-Ⅱb and Ⅲa resectable hepatocellular carcinoma. Methods: The data of 129 patients with Ⅱb and Ⅲa hepatocellular carcinoma who underwent surgery at the First Affiliated Hospital of Nanjing Medical University from January 2018 to December 2020 were analyzed. All patients were divided into two groups: the neoadjuvant therapy group(n=14,13 males and 1 female,aged (55.4±12.6)years(range:34 to 75 years)) received immune combined targeted therapy before surgery,immune checkpoint inhibitor camrelizumab was administered intravenously at a dose of 200 mg each time,every 2 weeks for 3 cycles,anti-angiogenesis drug apatinib was taken orally and continuously with a dose of 250 mg for 3 weeks and the conventional surgery group(n=115,103 males and 12 females,aged (55.8±12.0)years(range:21 to 83 years)) did not receive antitumor systemic therapy before surgery. There were 3 patients with CNLC-Ⅱb,11 with CNLC-Ⅲa in the neoadjuvant group;28 patients with CNLC-Ⅱb,87 with CNLC-Ⅲa in the conventional group. Student's t test or rank-sum test was used to compare the differences between two groups for quantitative data, Fisher's exact probability method was used to compare the differences of proportions between two groups, and Log-rank test was used to compare survival differences between two groups. Results: The 1-year recurrence rate in the neoadjuvant group was 42.9%,and the 1-year recurrence rate in the conventional group was 64.0%,with a statistically significant difference between the two groups(χ²=3.850,P=0.050);The 1-year survival rate in the neoadjuvant group was 100% and that in the conventional group was 74.2%,with a statistically significant difference between the two groups(χ²=5.170,P=0.023). According to the stratified analysis of the number of tumors,for single tumor,the 1-year recurrence rate in the neoadjuvant group was 25.0%,and that in the conventional surgery group was 71.0%,and the difference between the two groups was statistically significant(χ²=5.280, P=0.022). For multiple tumors, the 1-year recurrence rate in the neoadjuvant group was 66.7%,and the 1-year recurrence rate in the conventional surgery group was 58.9%,with no significant difference between the two groups(χ²=0.110,P=0.736). The operative time,intraoperative blood loss,and postoperative hospital stay in the neoadjuvant group were similar to those in the conventional group,and their differences were not statistically significant. Conclusions: Immune checkpoint inhibitors combined with anti-angiogenic targeted drugs as a neoadjuvant therapy for resectable hepatocellular carcinoma can reduce the 1-year recurrence rate and improve the 1-year survival rate,especially for those with solitary tumor. Limited by the sample size of the neoadjuvant group,the safety of immune combined targeted therapy before surgery cannot be observed more comprehensively,and further studies will be explored.
Collapse
Affiliation(s)
- Y X Xia
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - H Zhang
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - F Zhang
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - X C Li
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - D W Rong
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - W W Tang
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - H S Cao
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - J Zhao
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - P Wang
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - L Y Pu
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - X F Qian
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - F Cheng
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - K Wang
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - L B Kong
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - C Y Zhang
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - D H Li
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - J H Song
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - A H Yao
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - X F Wu
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - C Wu
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| | - X H Wang
- Hepatobiliary Center,the First Affiliated Hospital of Nanjing Medical University,Key Laboratory of Liver Transplantation,Chinese Academy of Medical Sciences,National Health Commission Key Laboratory of Living Donor Liver Transplantation, Nanjing 210000, China
| |
Collapse
|
23
|
Yan TL, Zhang CY, Zhu XJ, Niu DS, Xie TT, Ding XW, Liu BL, Li J. [Comparative analysis of work-related musculoskeletal disorders catalogues]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:311-315. [PMID: 35545604 DOI: 10.3760/cma.j.cn121094-20210126-00054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Work-related musculoskeletal disorders (WMSDs) refer to musculoskeletal disorders caused by work or work as the main cause, which are characterized by high prevalence and heavy burden of disease as a global problem. The classification and catalog of occupational diseases is of great significance for guiding the prevention and control of occupational diseases and safeguarding the rights and interests of workers. The types of WMSDs included in the list of occupational diseases vary greatly from country to country, and the regulations on specific pathogenic factors are also inconsistent. By sorting out and analyzing the lists and characteristics of WMSDs at home and abroad, and using the International Statistical Classification of Diseases and Related Health Problems (ICD-10) in occupational health to standardize of WMSDs in various countries, which would lay the foundation for future multi-country WMSDs occupational health registration and disease burden research, and provide a reference for China to revise the WMSDs list.
Collapse
Affiliation(s)
- T L Yan
- Beijing Institute of Occupational Disease Prevention and Treatment, Beijing 100093, China
| | - C Y Zhang
- School of Public Health, Shanxi Medical University, Taiyuan 030051, China
| | - X J Zhu
- National Center for Occupational Safety and Health, National Health Commission of the People's Republic of China, Beijing 102308, China
| | - D S Niu
- Beijing Institute of Occupational Disease Prevention and Treatment, Beijing 100093, China
| | - T T Xie
- Beijing Institute of Occupational Disease Prevention and Treatment, Beijing 100093, China
| | - X W Ding
- Beijing Institute of Occupational Disease Prevention and Treatment, Beijing 100093, China
| | - B L Liu
- Beijing Institute of Occupational Disease Prevention and Treatment, Beijing 100093, China
| | - J Li
- Beijing Institute of Occupational Disease Prevention and Treatment, Beijing 100093, China
| |
Collapse
|
24
|
Zhu W, Shan SS, Zhang QY, Zhang J, Zhang CY, Wang CY, Jia ZM, Zhang GX, Wang Y, Che YY, Wen JG, Wang QW. [Evaluation of the efficacy of a new variable frequency stimulation sacral neuromodulation in the treatment of detrusor hyperactivity with impaired contractility]. Zhonghua Yi Xue Za Zhi 2022; 102:147-151. [PMID: 35012305 DOI: 10.3760/cma.j.cn112137-20210408-00849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
A total of 16 detrusor hyperactivity with impaired contractility (DHIC) patients who received 12 weeks remote variable frequency stimulation (VFS) were enrolled at the First Affiliated Hospital of Zhengzhou University from September 2020 to February 2021. The voiding diary, symptom score scales and incidence of complications were completed and recorded at baseline, constant frequency stimulation (CFS) and VFS phases. Compared with the CFS phase, voiding times, urge incontinence times and daily catheterization volume were reduced; average voiding amount and functional bladder capacity increased; and the quality of life score and mental health questionnaire assessment were improved in the VFS phase(all P<0.05). In the end, among all 16 patients, there were 14 whose symptoms had improved, and there were no new complications such as pain or infection at the implantation site, electrode displacement, and electric shock sensation in the stimulation area. VFS-SNM can not only improve the DHIC patients' lower urinary tract symptoms during storage and urination period, but also improve the patients' quality of life and satisfaction of the therapy.
Collapse
Affiliation(s)
- W Zhu
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - S S Shan
- Henan Joint International Pediatric Urodynamic Laboratory, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - Q Y Zhang
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - J Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - C Y Zhang
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - C Y Wang
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - Z M Jia
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - G X Zhang
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - Y Wang
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - Y Y Che
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - J G Wen
- Henan Joint International Pediatric Urodynamic Laboratory, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| | - Q W Wang
- Department of Urology, the First Affiliated Hospital of Zhengzhou University, Henan 450000, China
| |
Collapse
|
25
|
Zhang CY, Agingu C, Yang H, Cheng H, Yu H. Effects of Hydrothermal Treatment on the Phase Transformation, Surface Roughness, and Mechanical Properties of Monolithic Translucent Zirconia. Oper Dent 2022; 47:76-86. [PMID: 34979031 DOI: 10.2341/20-270-l] [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] [Accepted: 02/27/2021] [Indexed: 11/23/2022]
Abstract
OBJECTIVES This study aimed to investigate the effects of hydrothermal treatment on four types of monolithic, translucent, yttria-stabilized, tetragonal zirconia polycrystals (Y-TZPs). METHODS AND MATERIALS Two commercially available Y-TZP brands-SuperfectZir High Translucency (Aidite Technology Co, China) and Katana HT (Kuraray Noritake Dental, Japan) were assessed. For each brand of Y-TZP, materials of four coloring types, including noncolored (NC), colored by staining (CS), precolored (PC), and multilayered (ML) specimens were investigated after hydrothermal aging in an autoclave at 134°C/0.2 MPa for 0 (control group), 5, 10, and 20 hours. The tetragonal-to-monoclinic phase transformation, surface roughness, flexural strength, and structural reliability (Weibull analysis) were measured and statistically analyzed (α=0.05). The subsurface microstructure was analyzed with scanning electron microscopy. RESULTS The group ML exhibited the lowest flexural strength and Weibull characteristic strength among the four coloring types (p<0.05). Slight increases in the monoclinic phase volume, flexural strength, and Weibull characteristic strength were observed after hydrothermal aging (pall<0.05). Regardless of coloring type, no significant effects of aging on the Weibull modulus or surface roughness were found for the tested materials. Compared with the Katana HT cross-sections, the SuperfectZir High Translucency cross-sections exhibited a similar but thicker transformation zone. CONCLUSIONS The coloring procedure and material type were found to affect the mechanical properties and aging resistance of translucent monolithic Y-TZP ceramics. Regardless of the aging time, the surface roughness of the tested Y-TZP ceramics remained unchanged.
Collapse
Affiliation(s)
- C Y Zhang
- Chang-yuan Zhang, DDS, PhD, associate professor, Fujian Key Laboratory of Oral Diseases & Fujian Provincial Engineering Research Center of Oral Biomaterial & Stomatological Key Laboratory of Fujian College and University, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China
| | - C Agingu
- Check Agingu, Master's student, Fujian Key Laboratory of Oral Diseases & Fujian Provincial Engineering Research Center of Oral Biomaterial & Stomatological Key Laboratory of Fujian College and University, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China
| | - H Yang
- Hui Yang, Master's student, Fujian Key Laboratory of Oral Diseases & Fujian Provincial Engineering Research Center of Oral Biomaterial & Stomatological Key Laboratory of Fujian College and University, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China
| | - H Cheng
- Hui Cheng, DDS, PhD, professor and associate dean, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China
| | - H Yu
- *Hao Yu, DDS, PhD, Dr med dent, associate professor and associate dean, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China; Adjunct Professor, Department of Applied Prosthodontics, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| |
Collapse
|
26
|
Zhang CY, Xiao X, Zhang Z, Hu Z, Li M. An alternative splicing hypothesis for neuropathology of schizophrenia: evidence from studies on historical candidate genes and multi-omics data. Mol Psychiatry 2022; 27:95-112. [PMID: 33686213 DOI: 10.1038/s41380-021-01037-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 01/08/2021] [Accepted: 01/22/2021] [Indexed: 01/31/2023]
Abstract
Alternative splicing of schizophrenia risk genes, such as DRD2, GRM3, and DISC1, has been extensively described. Nevertheless, the alternative splicing characteristics of the growing number of schizophrenia risk genes identified through genetic analyses remain relatively opaque. Recently, transcriptomic analyses in human brains based on short-read RNA-sequencing have discovered many "local splicing" events (e.g., exon skipping junctions) associated with genetic risk of schizophrenia, and further molecular characterizations have identified novel spliced isoforms, such as AS3MTd2d3 and ZNF804AE3E4. In addition, long-read sequencing analyses of schizophrenia risk genes (e.g., CACNA1C and NRXN1) have revealed multiple previously unannotated brain-abundant isoforms with therapeutic potentials, and functional analyses of KCNH2-3.1 and Ube3a1 have provided examples for investigating such spliced isoforms in vitro and in vivo. These findings suggest that alternative splicing may be an essential molecular mechanism underlying genetic risk of schizophrenia, however, the incomplete annotations of human brain transcriptomes might have limited our understanding of schizophrenia pathogenesis, and further efforts to elucidate these transcriptional characteristics are urgently needed to gain insights into the illness-correlated brain physiology and pathology as well as to translate genetic discoveries into novel therapeutic targets.
Collapse
Affiliation(s)
- Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Zhuohua Zhang
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Zhonghua Hu
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Hunan Key Laboratory of Animal Models for Human Diseases, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Eye Center of Xiangya Hospital and Hunan Key Laboratory of Ophthalmology, Central South University, Changsha, Hunan, China. .,National Clinical Research Center on Mental Disorders, Changsha, Hunan, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
27
|
Xiao X, Zhang CY, Zhang Z, Hu Z, Li M, Li T. Revisiting tandem repeats in psychiatric disorders from perspectives of genetics, physiology, and brain evolution. Mol Psychiatry 2022; 27:466-475. [PMID: 34650204 DOI: 10.1038/s41380-021-01329-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 09/16/2021] [Accepted: 09/28/2021] [Indexed: 01/28/2023]
Abstract
Genome-wide association studies (GWASs) have revealed substantial genetic components comprised of single nucleotide polymorphisms (SNPs) in the heritable risk of psychiatric disorders. However, genetic risk factors not covered by GWAS also play pivotal roles in these illnesses. Tandem repeats, which are likely functional but frequently overlooked by GWAS, may account for an important proportion in the "missing heritability" of psychiatric disorders. Despite difficulties in characterizing and quantifying tandem repeats in the genome, studies have been carried out in an attempt to describe impact of tandem repeats on gene regulation and human phenotypes. In this review, we have introduced recent research progress regarding the genomic distribution and regulatory mechanisms of tandem repeats. We have also summarized the current knowledge of the genetic architecture and biological underpinnings of psychiatric disorders brought by studies of tandem repeats. These findings suggest that tandem repeats, in candidate psychiatric risk genes or in different levels of linkage disequilibrium (LD) with psychiatric GWAS SNPs and haplotypes, may modulate biological phenotypes related to psychiatric disorders (e.g., cognitive function and brain physiology) through regulating alternative splicing, promoter activity, enhancer activity and so on. In addition, many tandem repeats undergo tight natural selection in the human lineage, and likely exert crucial roles in human brain evolution. Taken together, the putative roles of tandem repeats in the pathogenesis of psychiatric disorders is strongly implicated, and using examples from previous literatures, we wish to call for further attention to tandem repeats in the post-GWAS era of psychiatric disorders.
Collapse
Affiliation(s)
- Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Zhuohua Zhang
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Zhonghua Hu
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Hunan Key Laboratory of Animal Models for Human Diseases, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Eye Center of Xiangya Hospital and Hunan Key Laboratory of Ophthalmology, Central South University, Changsha, Hunan, China. .,National Clinical Research Center on Mental Disorders, Changsha, Hunan, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. .,Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.
| |
Collapse
|
28
|
Zhang Q, Zang L, Zhang CY, Gu WJ, Li B, Jia XF, Chen K, Pei Y, Du J, Guo QH, Ba JM, Lyu ZH, Dou JT, Mu YM. [Diagnosis and treatment of 21-hydroxylase deficiency with testicular adrenal rest tumors:a report of three cases and literature review]. Zhonghua Nei Ke Za Zhi 2022; 61:72-76. [PMID: 34979773 DOI: 10.3760/cma.j.cn112138-20210718-00488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To provide insight into the diagnosis for clinicians, the clinical characteristics, diagnosis and treatment history of 3 patients with 21-hydroxylase deficiency (21-OHD) and testicular adrenal rest tumors (TART) were analyzed. Methods: The clinical, laboratory and imaging data of 3 male patients with 21-OHD and TART, confirmed with CYP21 gene sequencing, from May 2010 to May 2021 in the First Medical Center of Chinese PLA General Hospital were analyzed retrospectively. The treatment strategy and clinical outcome were followed up. Results: All the 3 patients were first diagnosed with bilateral adrenal mass at the age of 27-42 years old. They were 145-162 cm tall. The levels of progesterone, 17-hydroxyprogesterone, and adrenocorticotropic hormone (ACTH) of the 3 patients were relatively high, and that of luteinizing hormone (LH) and follicle-stimulating hormone (FSH) of the 3 patients were low. Testosterone level of 1 patient was significantly elevated, and that of the other 2 patients was below the lower limit of normal range. Testicular ultrasound showed heterogeneous hyperechoic masses in both testes. CT of the adrenal glands showed bilateral adrenal enlargement with mass. All 3 patients were treated with dexamethasone. After 4-96 months of follow-up, 17-hydroxyprogesterone level was kept above the median normal level. One of the patients got married and had a baby after treatment. The sizes of adrenal hyperplasia and testicular masses reduced to various degrees with the change of the testicular masses being proportional to that of adrenal hyperplasia. Conclusions: Patients with 21-OHD are prone to have TART, leading to the impaired testicular function. Early glucocorticold therapy is beneficial to the reduction of TART and restoration of testicular function.
Collapse
Affiliation(s)
- Q Zhang
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - L Zang
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - C Y Zhang
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - W J Gu
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - B Li
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - X F Jia
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - K Chen
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y Pei
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - J Du
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Q H Guo
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - J M Ba
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Z H Lyu
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - J T Dou
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y M Mu
- Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
29
|
Li W, Zhang CY, Liu J, Guan F, Shao M, Zhang L, Liu Q, Yang Y, Su X, Zhang Y, Xiao X, Luo XJ, Li M, Lv L. Identification of a Risk Locus at 7p22.3 for Schizophrenia and Bipolar Disorder in East Asian Populations. Front Genet 2021; 12:789512. [PMID: 34976021 PMCID: PMC8719163 DOI: 10.3389/fgene.2021.789512] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 11/23/2021] [Indexed: 12/03/2022] Open
Abstract
Background: Shared psychopathological features and mechanisms have been observed between schizophrenia (SZ) and bipolar disorder (BD), but their common risk genes and full genetic architectures remain to be fully characterized. The genome-wide association study (GWAS) datasets offer the opportunity to explore this scientific question using combined genetic data from enormous samples, ultimately allowing a better understanding of the onset and development of these illnesses. Methods: We have herein performed a genome-wide meta-analysis in two GWAS datasets of SZ and BD respectively (24,600 cases and 40,012 controls in total, discovery sample), followed by replication analyses in an independent sample of 4,918 SZ cases and 5,506 controls of Han Chinese origin (replication sample). The risk SNPs were then explored for their correlations with mRNA expression of nearby genes in multiple expression quantitative trait loci (eQTL) datasets. Results: The single nucleotide polymorphisms (SNPs) rs1637749 and rs3800908 at 7p22.3 region were significant in both discovery and replication samples, and exhibited genome-wide significant associations when combining all East Asian SZ and BD samples (29,518 cases and 45,518 controls). The risk SNPs were also significant in GWAS of SZ and BD among Europeans. Both risk SNPs significantly predicted lower expression of MRM2 in the whole blood and brain samples in multiple datasets, which was consistent with its reduced mRNA level in the brains of SZ patients compared with normal controls. The risk SNPs were also associated with MAD1L1 expression in the whole blood sample. Discussion: We have identified a novel genome-wide risk locus associated with SZ and BD in East Asians, adding further support for the putative common genetic risk of the two illnesses. Our study also highlights the necessity and importance of mining public datasets to explore risk genes for complex psychiatric diseases.
Collapse
Affiliation(s)
- Wenqiang Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Jiewei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Fanglin Guan
- Department of Forensic Psychiatry, School of Medicine and Forensics, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Minglong Shao
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
| | - Luwen Zhang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
| | - Qing Liu
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
| | - Xi Su
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
| | - Yan Zhang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- *Correspondence: Ming Li, ; Luxian Lv,
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, China
- Henan Province People’s Hospital, Zhengzhou, China
- *Correspondence: Ming Li, ; Luxian Lv,
| |
Collapse
|
30
|
Gu T, Xia RH, Hu YH, Tian Z, Wang LZ, Zhang CY, Li J. [Programmed death ligand 1 expression and CD8 +T lymphocyte infiltration in salivary gland lymphoepithelial carcinoma]. Zhonghua Bing Li Xue Za Zhi 2021; 50:1222-1227. [PMID: 34719158 DOI: 10.3760/cma.j.cn112151-20210204-00125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the expression of programmed death ligand-1 (PD-L1) in tumor cells and CD8+T lymphocytes in tumor infiltrating lymphocytes, and to analyze the correlation of PD-L1 expression with infiltration of CD8+T lymphocytes and clinicopathologic features in salivary gland lymphoepithelial carcinoma (LEC). Methods: Forty-two cases of primary salivary LECs and 21 cases of secondary salivary LECs were enrolled at the Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University between 2015 and 2017. The expression of Epstein-Barr (EB) virus, PD-L1 and CD8 was examined using chromogenic in situ hybridization (CISH) and immunohistochemistry (IHC) staining. The data were analyzed using SPSS 23.0 software package. Results: EB virus was detected in 61 cases (61/63, 96.8%), including 42 (42/42, 100%) primary LECs and 19 (19/21, 90.5%) secondary LECs. The PD-L1 positive rate (score ≥1) was 97.6% (41/42), and its high-expression rate (score ≥20) was 78.6% (33/42) in primary LECs. The PD-L1 positive rate (score ≥1) was 71.4% (15/21), and its high-expression rate (≥20) was 38.1% (8/21) in secondary LECs. However, the PD-L1 positive rate (score ≥1, P=0.004) and high-expression rate (score ≥20, P=0.001) in primary LECs were higher than those in secondary LECs. There was no difference in the infiltration degree of CD8+T lymphocytes between primary and secondary LECs. There was a significant correlation between the expression of PD-L1 and CD8 in primary LECs (P=0.001) and in secondary LECs (P=0.048), respectively. Conclusions: There is PD-L1 expression in primary and secondary salivary LECs, while the expression rate is higher in primary LECs than secondary LECs. The combination of PD-L1 expression and CD8+T lymphocytes' presence suggest that most LEC patients might be responsive to immunotherapy, and primary LECs might be more significantly responsive than secondary LECs.
Collapse
Affiliation(s)
- T Gu
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine; College of Stomatology, Shanghai Jiaotong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - R H Xia
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine; College of Stomatology, Shanghai Jiaotong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Y H Hu
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine; College of Stomatology, Shanghai Jiaotong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Z Tian
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine; College of Stomatology, Shanghai Jiaotong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - L Z Wang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine; College of Stomatology, Shanghai Jiaotong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - C Y Zhang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine; College of Stomatology, Shanghai Jiaotong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - J Li
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine; College of Stomatology, Shanghai Jiaotong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| |
Collapse
|
31
|
Wu SS, Yu JN, Li JY, He CH, Zhang CY. [Study on flow field characteristics of dust airflow in vibrating screen and optimization of dust removal system]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:696-699. [PMID: 34624956 DOI: 10.3760/cma.j.cn121094-20201019-00588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In order to solve the problem of dust hazard of vibrating screen machine and difficult treatment in catalyst production process, computational fluid dynamics software Fluent was used to carry out numerical simulation calculation of the local exhaust dust removal system for the main dust dispersing points of the vibrating screen machine, including fine/coarse particles outlet and product outlet blowing and cleaning the dust points. The optimal design scheme and key technical parameters of local ventilation and dust removal system of vibrating screen machine were proposed. The results showed that the dust diffusion could be prevented by setting up an upper suction hood without air blowing, but the exhaust air volume needed to be calculated accurately. On the premise of purge, it is necessary to control the air volume to form a wind speed band of 8 m/s with a height of 15 cm at the feed port, so as to effectively remove the dust on the surface of solid particles of catalyst products and ensure that the catalyst products will not be blown away when falling into the feed barrel. The simulated design was applied to the vibrating sieve powder machine of a catalyst company, and the maximum dust concentration in the workplace was reduced from 45.80 mg/m(3) to 5.46mg/m(3), which effectively improved the working environment in the workplace.
Collapse
Affiliation(s)
- S S Wu
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
| | - J N Yu
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
| | - J Y Li
- National Center for Occupational Safety and Health, Beijing 102308, China
| | - C H He
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
| | - C Y Zhang
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
| |
Collapse
|
32
|
Li W, Cai X, Li HJ, Song M, Zhang CY, Yang Y, Zhang L, Zhao L, Liu W, Wang L, Shao M, Zhang Y, Zhang C, Cai J, Zhou DS, Li X, Hui L, Jia QF, Qu N, Zhong BL, Zhang SF, Chen J, Xia B, Li Y, Song X, Fan W, Tang W, Tang W, Tang J, Chen X, Yue W, Zhang D, Fang Y, Xiao X, Li M, Lv L, Chang H. Independent replications and integrative analyses confirm TRANK1 as a susceptibility gene for bipolar disorder. Neuropsychopharmacology 2021; 46:1103-1112. [PMID: 32791513 PMCID: PMC8114920 DOI: 10.1038/s41386-020-00788-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/02/2020] [Accepted: 07/27/2020] [Indexed: 02/07/2023]
Abstract
Genetic analyses for bipolar disorder (BD) have achieved prominent success in Europeans in recent years, whereas its genetic basis in other populations remains relatively less understood. We herein report that the leading risk locus for BD in European genome-wide association studies (GWAS), the single-nucleotide polymorphism (SNP) rs9834970 near TRANK1 at 3p22 region, is also genome-wide significantly associated with BD in a meta-analysis of four independent East Asian samples including 5748 cases and 65,361 controls (p = 2.27 × 10-8, odds ratio = 1.136). Expression quantitative trait loci (eQTL) analyses and summary data-based Mendelian randomization (SMR) analyses in multiple human brain samples suggest that lower TRANK1 mRNA expression is a principal BD risk factor explaining its genetic risk signals at 3p22. We also identified another SNP rs4789 in the 3' untranslated region (3'UTR) of TRANK1 showing stronger eQTL associations as well as genome-wide significant association with BD. Despite the relatively unclear neuronal function of TRANK1, our mRNA expression analyses in the human brains and in rat primary cortical neurons reveal that genes highly correlated with TRANK1 are significantly enriched in the biological processes related to dendritic spine, synaptic plasticity, axon guidance and circadian entrainment, and are also more likely to exhibit strong associations in psychiatric GWAS (e.g., the CACNA1C gene). Overall, our results support that TRANK1 is a potential BD risk gene. Further studies elucidating its roles in this illness are needed.
Collapse
Affiliation(s)
- Wenqiang Li
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Xin Cai
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Hui-Juan Li
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Meng Song
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Chu-Yi Zhang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Yongfeng Yang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Luwen Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Lijuan Zhao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Weipeng Liu
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Lu Wang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Minglong Shao
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Yan Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Chen Zhang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Cai
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dong-Sheng Zhou
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Xingxing Li
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Li Hui
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Qiu-Fang Jia
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Na Qu
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bao-Liang Zhong
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Shu-Fang Zhang
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Jing Chen
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bin Xia
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Yi Li
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Xueqin Song
- grid.412633.1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Weixing Fan
- Jinhua Second Hospital, Jinhua, Zhejiang China
| | - Wei Tang
- grid.268099.c0000 0001 0348 3990Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang China
| | - Wenxin Tang
- grid.469604.90000 0004 1765 5222Hangzhou Seventh People’s Hospital, Hangzhou, Zhejiang China
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang China ,Key Laboratory of Medical Neurobiology of Zhejiang Province, Hangzhou, Zhejiang China
| | - Xiaogang Chen
- grid.216417.70000 0001 0379 7164Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan China ,National Clinical Research Center for Mental Disorders, Changsha, Hunan China ,National Technology Institute of Mental Disorders, Changsha, Hunan China ,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan China ,grid.489086.bMental Health Institute of Central South University, Changsha, Hunan China ,Hunan Medical Center for Mental Health, Changsha, Hunan China
| | - Weihua Yue
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Dai Zhang
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Yiru Fang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Xiao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Province People's Hospital, Zhengzhou, Henan, China.
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
33
|
Su Y, Sun JY, Zhang CY, Wang RX. [Research progress of circumferential pulmonary vein isolation of atrial fibrillation and sinus node artery injury]. Zhonghua Xin Xue Guan Bing Za Zhi 2021; 49:298-302. [PMID: 33706468 DOI: 10.3760/cma.j.cn112148-20200515-00402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y Su
- Department of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China
| | - J Y Sun
- Department of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China
| | - C Y Zhang
- Department of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China
| | - R X Wang
- Department of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China
| |
Collapse
|
34
|
Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Deng J, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Yun JP, Huang D, Song Z, Fan X, Chen L, Yan X, Li Z, Huang ZC, Huang J, Luttrell J, Zhang CY, Zhou W, Zhang K, Yi C, Wu C, Shen H, Wang YP, Xiao HM, Deng HW. Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence. BMC Med 2021; 19:76. [PMID: 33752648 PMCID: PMC7986569 DOI: 10.1186/s12916-021-01942-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. METHODS Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. RESULTS Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. CONCLUSIONS This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.
Collapse
Affiliation(s)
- K S Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - G Yu
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Xu
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - X H Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China
| | - J Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Zheng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Deng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - L Shang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - R Liu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - S Su
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - X Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - Q Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - K Ma
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Qi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Hu
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - P Tang
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
| | - X Qiu
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - B Y Li
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - W D Shen
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - R P Quan
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - J T Yang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - L Y Huang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Y Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Z C Yang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, Hunan, China
| | - Z Li
- School of Life Sciences, Central South University, Changsha, 410013, Hunan, China
| | - S C Wang
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - H Ren
- Department of Pathology, Gongli Hospital, Second Military Medical University, Shanghai, 200135, China
- Department of Pathology, the Peace Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China
| | - C Liang
- Pathological Laboratory of Adicon Medical Laboratory Co., Ltd, Hangzhou, 310023, Zhejiang, China
| | - W Guo
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - Y Li
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - H Xiao
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Gu
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - J P Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - D Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Z Song
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - X Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - L Chen
- Department of Pathology, The first affiliated hospital, Air Force Medical University, Xi'an, 710032, China
| | - X Yan
- Institute of Pathology and southwest cancer center, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Z Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z C Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Luttrell
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - C Y Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - W Zhou
- College of Computing, Michigan Technological University, Houghton, MI, 49931, USA
| | - K Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - C Yi
- Department of Pathology, Ochsner Medical Center, New Orleans, LA, 70121, USA
| | - C Wu
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - H Shen
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Y P Wang
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - H M Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
| | - H W Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA.
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
| |
Collapse
|
35
|
Li HJ, Zhang C, Hui L, Zhou DS, Li Y, Zhang CY, Wang C, Wang L, Li W, Yang Y, Qu N, Tang J, He Y, Zhou J, Yang Z, Li X, Cai J, Yang L, Chen J, Fan W, Tang W, Tang W, Jia QF, Liu W, Zhuo C, Song X, Liu F, Bai Y, Zhong BL, Zhang SF, Chen J, Xia B, Lv L, Liu Z, Hu S, Li XY, Liu JW, Cai X, Yao YG, Zhang Y, Yan H, Chang S, Zhao JP, Yue WH, Luo XJ, Chen X, Xiao X, Fang Y, Li M. Novel Risk Loci Associated With Genetic Risk for Bipolar Disorder Among Han Chinese Individuals: A Genome-Wide Association Study and Meta-analysis. JAMA Psychiatry 2021; 78:320-330. [PMID: 33263727 PMCID: PMC7711567 DOI: 10.1001/jamapsychiatry.2020.3738] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE The genetic basis of bipolar disorder (BD) in Han Chinese individuals is not fully understood. OBJECTIVE To explore the genetic basis of BD in the Han Chinese population. DESIGN, SETTING, AND PARTICIPANTS A genome-wide association study (GWAS), followed by independent replication, was conducted to identify BD risk loci in Han Chinese individuals. Individuals with BD were diagnosed based on DSM-IV criteria and had no history of schizophrenia, mental retardation, or substance dependence; individuals without any personal or family history of mental illnesses, including BD, were included as control participants. In total, discovery samples from 1822 patients and 4650 control participants passed quality control for the GWAS analysis. Replication analyses of samples from 958 patients and 2050 control participants were conducted. Summary statistics from the European Psychiatric Genomics Consortium 2 (PGC2) BD GWAS (20 352 cases and 31 358 controls) were used for the trans-ancestry genetic correlation analysis, polygenetic risk score analysis, and meta-analysis to compare BD genetic risk between Han Chinese and European individuals. The study was performed in February 2020. MAIN OUTCOMES AND MEASURES Single-nucleotide variations with P < 5.00 × 10-8 were considered to show genome-wide significance of statistical association. RESULTS The Han Chinese discovery GWAS sample included 1822 cases (mean [SD] age, 35.43 [14.12] years; 838 [46%] male) and 4650 controls (mean [SD] age, 27.48 [5.97] years; 2465 [53%] male), and the replication sample included 958 cases (mean [SD] age, 37.82 [15.54] years; 412 [43%] male) and 2050 controls (mean [SD] age, 27.50 [6.00] years; 1189 [58%] male). A novel BD risk locus in Han Chinese individuals was found near the gene encoding transmembrane protein 108 (TMEM108, rs9863544; P = 2.49 × 10-8; odds ratio [OR], 0.650; 95% CI, 0.559-0.756), which is required for dendritic spine development and glutamatergic transmission in the dentate gyrus. Trans-ancestry genetic correlation estimation (ρge = 0.652, SE = 0.106; P = 7.30 × 10-10) and polygenetic risk score analyses (maximum liability-scaled Nagelkerke pseudo R2 = 1.27%; P = 1.30 × 10-19) showed evidence of shared BD genetic risk between Han Chinese and European populations, and meta-analysis identified 2 new GWAS risk loci near VRK2 (rs41335055; P = 4.98 × 10-9; OR, 0.849; 95% CI, 0.804-0.897) and RHEBL1 (rs7969091; P = 3.12 × 10-8; OR, 0.932; 95% CI, 0.909-0.956). CONCLUSIONS AND RELEVANCE This GWAS study identified several loci and genes involved in the heritable risk of BD, providing insights into its genetic architecture and biological basis.
Collapse
Affiliation(s)
- Hui-Juan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chen Zhang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Li Hui
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Dong-Sheng Zhou
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Yi Li
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chuang Wang
- Department of Pharmacology and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, Zhejiang, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Wenqiang Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China
| | - Na Qu
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China,Key Laboratory of Medical Neurobiology of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Ying He
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Jun Zhou
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Zihao Yang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Xingxing Li
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Jun Cai
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Lu Yang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Chen
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weixing Fan
- Jinhua Second Hospital, Jinhua, Zhejiang, China
| | - Wei Tang
- Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Wenxin Tang
- Hangzhou Seventh People’s Hospital, Hangzhou, Zhejiang, China
| | - Qiu-Fang Jia
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Weiqing Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chuanjun Zhuo
- Department of Psychiatric-Neuroimaging-Genetics and Morbidity Laboratory (PNGC-Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Mental Health Teaching Hospital, Tianjin Medical University, Tianjin, China
| | - Xueqin Song
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fang Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yan Bai
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Bao-Liang Zhong
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Shu-Fang Zhang
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Jing Chen
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Bin Xia
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China,Henan Province People’s Hospital, Zhengzhou, Henan, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital, Wuhan University, Wuhan, Hubei, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China,The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiao-Yan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Jie-Wei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Yuyanan Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Suhua Chang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jing-Ping Zhao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Wei-Hua Yue
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China,Peking-Tsinghua Joint Center for Life Sciences and Peking University (PKU) International Data Group (IDG)/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xiaogang Chen
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | | |
Collapse
|
36
|
Abstract
Accumulating studies have been conducted to identify risk genes and relevant biological mechanisms underlying major depressive disorder (MDD). In particular, transcriptomic analyses in brain regions engaged in cognitive and emotional processes, e.g., the dorsolateral prefrontal cortex (DLPFC), have provided essential insights. Based on three independent DLPFC RNA-seq datasets of 79 MDD patients and 75 healthy controls, we performed differential expression analyses using two alternative approaches for cross-validation. We also conducted transcriptomic analyses in mice undergoing chronic variable stress (CVS) and chronic social defeat stress (CSDS). We identified 12 differentially expressed genes (DEGs) through both analytical methods in MDD patients, the majority of which were also dysregulated in stressed mice. Notably, the mRNA level of the immediate early gene FOS ( Fos proto-oncogene) was significantly decreased in both MDD patients and CVS-exposed mice, and CSDS-susceptible mice exhibited a greater reduction in Fos expression compared to resilient mice. These findings suggest the potential key roles of this gene in the pathogenesis of MDD related to stress exposure. Altered transcriptomes in the DLPFC of MDD patients might be, at least partially, the result of stress exposure, supporting that stress is a primary risk factor for MDD.
Collapse
Affiliation(s)
- Hui-Juan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Xi Su
- Henan Mental Hospital, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Lu-Wen Zhang
- Henan Mental Hospital, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Wen-Qiang Li
- Henan Mental Hospital, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Yong-Feng Yang
- Henan Mental Hospital, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Lu-Xian Lv
- Henan Mental Hospital, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Province People's Hospital, Zhengzhou, Henan 450003, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China.,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China. E-mail:
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China. E-mail:
| |
Collapse
|
37
|
Chang H, Cai X, Li HJ, Liu WP, Zhao LJ, Zhang CY, Wang JY, Liu JW, Ma XL, Wang L, Yao YG, Luo XJ, Li M, Xiao X. Functional Genomics Identify a Regulatory Risk Variation rs4420550 in the 16p11.2 Schizophrenia-Associated Locus. Biol Psychiatry 2021; 89:246-255. [PMID: 33246552 DOI: 10.1016/j.biopsych.2020.09.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 09/17/2020] [Accepted: 09/17/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Genome-wide association studies (GWASs) have reported hundreds of genomic loci associated with schizophrenia, yet identifying the functional risk variations is a key step in elucidating the underlying mechanisms. METHODS We applied multiple bioinformatics and molecular approaches, including expression quantitative trait loci analyses, epigenome signature identification, luciferase reporter assay, chromatin conformation capture, homology-directed genome editing by CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats/Cas9), RNA sequencing, and ATAC-Seq (assay for transposase-accessible chromatin using sequencing). RESULTS We found that the schizophrenia GWAS risk variations at 16p11.2 were significantly associated with messenger RNA levels of multiple genes in human brain, and one of the leading expression quantitative trait loci genes, MAPK3, is located ∼200 kb away from these risk variations in the genome. Further analyses based on the epigenome marks in human brain and cell lines suggested that a noncoding single nucleotide polymorphism, rs4420550 (p = 2.36 × 10-9 in schizophrenia GWAS), was within a DNA enhancer region, which was validated via in vitro luciferase reporter assays. The chromatin conformation capture experiment showed that the rs4420550 region physically interacted with the MAPK3 promoter and TAOK2 promoter. Precise CRISPR/Cas9 editing of a single base pair in cells followed by RNA sequencing further confirmed the regulatory effects of rs4420550 on the transcription of 16p11.2 genes, and ATAC-Seq demonstrated that rs4420550 affected chromatin accessibility at the 16p11.2 region. The rs4420550-[A/A] cells showed significantly higher proliferation rates compared with rs4420550-[G/G] cells. CONCLUSIONS These results together suggest that rs4420550 is a functional risk variation, and this study illustrates an example of comprehensive functional characterization of schizophrenia GWAS risk loci.
Collapse
Affiliation(s)
- Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Shanghai, China
| | - Hui-Juan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Shanghai, China
| | - Wei-Peng Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Shanghai, China
| | - Li-Juan Zhao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Shanghai, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Shanghai, China
| | - Jun-Yang Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Shanghai, China
| | - Jie-Wei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China
| | - Xiao-Lei Ma
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Shanghai, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Shanghai, China.
| |
Collapse
|
38
|
Xia YX, Zhang F, Li XC, Kong LB, Zhang H, Li DH, Cheng F, Pu LY, Zhang CY, Qian XF, Wang P, Wang K, Wu ZS, Lyu L, Rao JH, Wu XF, Yao AH, Shao WY, Fan Y, You W, Dai XZ, Qin JJ, Li MY, Zhu Q, Wang XH. [Surgical treatment of primary liver cancer:a report of 10 966 cases]. Zhonghua Wai Ke Za Zhi 2021; 59:6-17. [PMID: 33412628 DOI: 10.3760/cma.j.cn112139-20201110-00791] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To summarize the experience of surgical treatment of primary liver cancer. Methods: The clinical data of 10 966 surgically managed cases with primary liver cancer, from January 1986 to December 2019 at Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University, were retrospectively analyzed. The life table method was used to calculate the survival rate and postoperative recurrence rate. Log-rank test was used to compare the survival process of different groups, and the Cox regression model was used for multivariate analysis. In addition, 2 884 cases of hepatocellular carcinoma(HCC) with more detailed follow-up data from 2009 to 2019 were selected for survival analysis. Among 2 549 patients treated with hepatectomy, there were 2 107 males and 442 females, with an age of (56.6±11.1) years (range: 20 to 86 years). Among 335 patients treated with liver transplantation, there were 292 males and 43 females, with an age of (51.0±9.7) years (range: 21 to 73 years). The outcomes of hepatectomy versus liver transplantation, anatomic versus non-anatomic hepatectomy were compared, respectively. Results: Of the 10 966 patients with primary liver cancer, 10 331 patients underwent hepatectomy and 635 patients underwent liver transplantation. Patients with liver resection were categorized into three groups: 1986-1995(712 cases), 1996-2008(3 988 cases), 2009‒2019(5 631 cases). The 5-year overall survival rate was 32.9% in the first group(1986-1995). The 5-year overall survival rate of resected primary liver cancer was 51.7% in the third group(2009-2019), among which the 5-year overal survival rates of hepatocellular carcinoma, intrahepatic cholangiocarcinoma and mixed liver cancer were 57.4%, 26.6% and 50.6%, respectively. Further analysis was performed on 2 549 HCC patients with primary hepatectomy. The 1-, 3-, 5-, and 10-year overall survival rates were 88.1%, 71.9%, 60.0%, and 41.0%, respectively, and the perioperative mortality rate was 1.0%. Two hundred and forty-seven HCC patients underwent primary liver transplantation, with 1-, 3-, 5-, and 10-year overall survival rates of 84.0%, 64.8%, 61.9%, and 57.6%, respectively. Eighty-eight HCC patients underwent salvage liver transplantation, with the 1-, 3-, 5-, and 10-year overall survival rates of 86.8%, 65.2%, 52.5%, and 52.5%, respectively. There was no significant difference in survival rates between the two groups with liver transplantation (P>0.05). Comparing the overall survival rates and recurrence rates of primary hepatectomy (2 549 cases) with primary liver transplantation (247 cases), the 1-, 3-, 5-, and 10-year overall survival rates in patients within Milan criteria treated with hepatectomy and transplantation were 96.3%, 87.1%, 76.9%, 54.7%, and 95.4%, 79.4%, 77.4%, 71.7%, respectively (P=0.754). The 1-, 3-, 5-year recurrence rates were 16.3%, 35.9%, 47.6% and 8.1%, 11.7%, 13.9%, respectively(P<0.01). The 1-, 3-, 5-, 10-year overall survival rates in patients with no large vessels invasion beyond the Milan criteria treated with liver resection and transplantation were 87.2%, 65.9%, 53.0%, 33.0% and 87.6%, 71.8%, 71.8%, 69.3%, respectively(P=0.003); the 1-, 3-, 5-year recurrence rate were 39.2%, 57.8%, 69.7% and 29.7%, 36.7%, 36.7%, respectively (P<0.01). The 1-, 3-, 5-, and 10-year overall survival rates in patients with large vessels invasion treated with liver resection and transplantation were 62.1%, 36.1%, 22.2%, 15.0% and 62.9%, 31.8%,19.9%, 0, respectively (P=0.387); the 1-, 3-, 5-year recurrence rates were 61.5%, 74.7%, 80.8% and 59.7%, 82.9%, 87.2%, respectively(P=0.909). Independent prognostic factors for both overall survival and recurrence-free survival rates of HCC patients treated with liver resection included gender, neoadjuvant therapy, symptoms, AST, intraoperative or postoperative blood transfusion, tumor number, tumor size, cirrhosis, macrovascular invasion, microvascular invasion, and pathological differentiation. Propensity score matching analysis of 443 pairs further showed that there was no significant difference in overall survival rate between anatomical liver resection and non-anatomical liver resection(P=0.895), but the recurrence rate of non-anatomical liver resection was higher than that of anatomical liver resection(P=0.035). Conclusions: In the past decade, the overall survival rate of HCC undergoing surgical treatment is significantly higher than before. For HCC patients with good liver function reservation, surgical resection can be performed first, and salvage liver transplantation can be performed after recurrence. The effect of salvage liver transplantation is comparable to that of primary liver transplantation. As for the choice of liver resection approaches, non-anatomical resection can reserve more liver tissue and can be selected as long as the negative margin is guaranteed.
Collapse
Affiliation(s)
- Y X Xia
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - F Zhang
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - X C Li
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - L B Kong
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - H Zhang
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - D H Li
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - F Cheng
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - L Y Pu
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - C Y Zhang
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - X F Qian
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - P Wang
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - K Wang
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - Z S Wu
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - L Lyu
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - J H Rao
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - X F Wu
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - A H Yao
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - W Y Shao
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - Y Fan
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - W You
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - X Z Dai
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - J J Qin
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - M Y Li
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - Q Zhu
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| | - X H Wang
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University;Liver Cancer Institute, Nanjing Medical University, Nanjing 210000, China
| |
Collapse
|
39
|
Yang S, Zhang CY, Zhang YY, Tan SX, Wei CG, Shen XH, Shen JK. [The diagnostic value of version 2.1 prostate imaging reporting and data system for prostate transitional zone lesions]. Zhonghua Yi Xue Za Zhi 2020; 100:3609-3613. [PMID: 33333685 DOI: 10.3760/cma.j.cn112137-20200506-01442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare and analyze the diagnostic value of prostate imaging reporting and data system (PI-RADS) version 2.1 and version 2 for prostate transitional zone lesions. Methods: The imaging data of 159 patients with major prostate lesions located in the transitional zone collected by the Department of Radiology of the Second Affiliated Hospital of Suzhou University from January to December 2017 were retrospectively analyzed. Two radiologists used PI-RADS V2.1 and V2 scoring system respectively to perform diagnostic scores on the enrolled cases. The weighted Kappa test was used to evaluate the consistency of PI-RADS V2.1 and V2 scores between the two radiologists. The receiver operating characteristic (ROC) curve was used to evaluate and compare the diagnostic efficiency of two radiologists using two scoring systems for transitional zone prostate cancer (PCa) and clinically significant PCa (csPCa). Results: The weighted Kappa values between the scores of all lesions, benign lesions, PCa lesions, and csPCa lesions by the two radiologists using PI-RADS V2.1 and V2 scoring systems were 0.754, 0.643, 0.734, 0.782 and 0.808, 0.738, 0.775, 0.826, respectively. The PI-RADS V2.1 scoring system had a better consistency. There were no statistically significant differences in sensitivity, specificity, area under the ROC curve (AUC) between the PI-RADS V2.1 and V2 scoring system for PCa and csPCa (all P>0.05). However, in this set of data, the sensitivity and AUC value of PI-RADS V2.1 scoring system in diagnosing PCa and csPCa were higher than those of P-RADS V2. The diagnostic sensitivity of PI-RADS V2.1 and V2 for PCa were 86.7% and 80.0%, the diagnostic sensitivity for csPCa were 94.4% and 88.9%, the diagnostic AUC for PCa were 0.857 and 0.816, and the diagnostic AUC of csPCa were 0.917 and 0.886, respectively. Conclusion: The consistency of PI-RADS V2.1 in scoring prostate transitional zone lesions was better than PI-RADS V2. The diagnostic efficiency of PI-RADS V2.1 for transitional carcinoma was not lower than or slightly higher than PI-RADS V2.
Collapse
Affiliation(s)
- S Yang
- Department of Imaging, Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - C Y Zhang
- Department of Imaging, Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Y Y Zhang
- Department of Imaging, Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - S X Tan
- Department of Imaging, Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - C G Wei
- Department of Imaging, Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - X H Shen
- Department of Imaging, Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - J K Shen
- Department of Imaging, Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| |
Collapse
|
40
|
Li M, Zheng HL, Chen SC, Zhu MH, Jiang H, Liu F, Gao YN, Wang W, Zhang CY, Chen MJ. [Clinical analysis of selective laryngeal reinnervation using upper root of phrenic nerve and hypoglossal nerve branch in the treatment of bilateral vocal fold paralysis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 55:1016-1021. [PMID: 33210879 DOI: 10.3760/cma.j.cn115330-20200526-00444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the airway and voice quality improvement in patients with bilateral vocal fold paralysis (BVFP) who underwent selective laryngeal reinnervation surgery. Methods: From January 2012 to December 2016, a retrospective study was conducted in 39 patients with BVFP who underwent selective laryngeal reinnervation surgery in Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University. All patients were examined by videostroboscopy, vocal function assessment, laryngeal electromyography and pulmonary function test before and after the surgery, and followed up for at least 2 years to evaluate the efficacy and safety of the surgery.Wilcoxon signed rank test was used to analyze the G score and VHI-10 score data. Paired t-test was used to analyze acoustic parameters, MPT values and pulmonary function parameters. Results: Postoperative infection and hemorrhage occurred in one patient separately.Videostroboscopic videos showed that at 4-8 months postoperatively, vocal folds in 35 patients achieved moderate or severe abduction during inspiration, 2 patients only achieved mild abduction, 2 patients showed no abduction,while all patients achieved adduction in bilateral vocal cords during phonation. The recovery rate of moderate-to-severe abduction was 89.7% (35/39), and these patients were decannulated successfully. At 12 months after operation, G score and VHI-10 score were significantly lower than those before operation (P<0.05), and the acoustic parameters jitter, shimmer, HNR and MPT were significantly improved (P<0.05). Most of the parameters of the pulmonary function test at 3 months postoperatively returned to the normal reference level, while the maximum inspiratory pressure (PImax) at 12 months after operation was still slightly lower than the normal level, but it was significantly improved compared with preoperative value (P<0.05). The EMG data at 12 months postoperatively showed full interference potentials in 37 patients in bilateral posterior cricoarytenoid muscles during inspiration, and full interference potentials in bilateralthyroarytenoid muscles during phonation. Obvious misdirected regeneration electric activitieswere found in two of them. Potentials in posterior cricoarytenoid muscle were weak in 2 cases with poor abduction. During long-term follow-up, only one case showed decreased abduction, but did not affect respiratory function. Conclusions: The selective laryngeal reinnervation procedure applied in the present study can restore physiological motion of vocal cords. The success rate was high, the curative effect was stable, and the complications were rare. It is worth of promotion.
Collapse
Affiliation(s)
- M Li
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - H L Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - S C Chen
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - M H Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - H Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - F Liu
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - Y N Gao
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - W Wang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - C Y Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| | - M J Chen
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Navy Medical University, Shanghai 200433, China
| |
Collapse
|
41
|
Aflalo T, Zhang CY, Rosario ER, Pouratian N, Orban GA, Andersen RA. A shared neural substrate for action verbs and observed actions in human posterior parietal cortex. Sci Adv 2020; 6:6/43/eabb3984. [PMID: 33097536 PMCID: PMC7608826 DOI: 10.1126/sciadv.abb3984] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 09/03/2020] [Indexed: 06/11/2023]
Abstract
High-level sensory and motor cortical areas are activated when processing the meaning of language, but it is unknown whether, and how, words share a neural substrate with corresponding sensorimotor representations. We recorded from single neurons in human posterior parietal cortex (PPC) while participants viewed action verbs and corresponding action videos from multiple views. We find that PPC neurons exhibit a common neural substrate for action verbs and observed actions. Further, videos were encoded with mixtures of invariant and idiosyncratic responses across views. Action verbs elicited selective responses from a fraction of these invariant and idiosyncratic neurons, without preference, thus associating with a statistical sampling of the diverse sensory representations related to the corresponding action concept. Controls indicated that the results are not the product of visual imagery or arbitrary learned associations. Our results suggest that language may activate the consolidated visual experience of the reader.
Collapse
Affiliation(s)
- T Aflalo
- California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, CA, USA.
- Tianqiao and Chrissy Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA
| | - C Y Zhang
- California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, CA, USA
- Tianqiao and Chrissy Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA
| | - E R Rosario
- Casa Colina Hospital and Centers for Healthcare, Pomona, CA, USA
| | - N Pouratian
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - G A Orban
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - R A Andersen
- California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, CA, USA
- Tianqiao and Chrissy Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA
| |
Collapse
|
42
|
Zhang CY, Wei Y, Zhao YY. [Clinical characteristics and outcomes of monochorionic monoamniotic twin pregnancy]. Zhonghua Fu Chan Ke Za Zhi 2020; 55:627-632. [PMID: 32957751 DOI: 10.3760/cma.j.cn112141-20200531-00462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the clinical characteristics and outcomes of monochorionic monoamniotic (MCMA) twin pregnancy. Methods: The clinical data of 60 MCMA twin pregnant women who were terminated in Peking University Third Hospital from January 2011 to December 2019 were collected, and the general clinical data, prenatal examination and pregnancy outcomes were analyzed retrospectively. Results: The age of 60 MCMA twin pregnant women was (31.0±4.1) years old, among which 44 cases were primiparas (73%, 44/60) and 16 cases were multiparas (27%, 16/60). Fifty-eight cases were diagnosed as MCMA twin pregnancy prenatally and were confirmed after delivery. Median ultrasonic diagnosis of gestational age was 12 weeks (range: 8-30 weeks). In the 60 MCMA twin pregnancies, 6 cases were conjoined twins, 5 cases were complicated with twin reversed arterial perfusion sequence (TRAPS), and 10 cases were diagnosed as other fetal malformation by prenatal ultrasound examination. Among the 60 MCMA twin pregnant women, 19 cases had spontaneous abortion or induced abortion due to fetal malformation, fetal death or other reasons within 28 weeks of pregnancy, 41 cases entered the perinatal period, a total of 70 newborns survived. The main cause of perinatal fetal or neonatal death was fetal dysplasia. Conclusions: There is a high incidence of fetal abnormality and perinatal mortality in MCMA twin pregnancy. Accurate early diagnosis, enhanced management and monitoring during pregnancy, and individualized treatment are the keys to improve MCMA twin pregnancy outcomes.
Collapse
Affiliation(s)
- C Y Zhang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Y Wei
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Y Y Zhao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
43
|
Fu ZL, Tian L, Zhang CY, Feng R. [Clinical study of exploring new axillary zone in sentinel lymph node biopsy of breast cancer]. Zhonghua Yi Xue Za Zhi 2020; 100:2363-2366. [PMID: 32791812 DOI: 10.3760/cma.j.cn112137-20200303-00571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the application of axillary reverse mapping (ARM) in breast cancer sentinel lymph node biopsy (SLNB), and to collect and record patient's data during operation. Through the specific experimental data, the anatomical location and morphology of the intercostal brachial nerve (ICBN) and the anatomic relationship of the axillary lymph nodes were analyzed to accurately locate the anatomical division of the axillary fossa of sentinel lymph node (SLN) and ARM lymph nodes. Methods: The technique of methylene blue staining for SLN combined with indocyanine green fluorescent staining for axillary reverse mapping was used to analyze the patients of Tianjin Central Hospital of Gynecology Obstetrics from June 2017 to June 2018. The clinical data of 35 patients with T1-2N0M0 breast cancer were analyzed. Results: Of the 35 patients, two cases were excluded from metastatic carcinoma of the SLN. Thirty-three cases were included in the data analysis. Three cases of ICBN were located 0-2.0 cm (9.09%) from the lower edge of the iliac vein, 27 cases were located at 2.0-4.0 cm (81.82%), and 3 cases of ICBN were located greater than 4.0 cm (9.09%). In the region of 0-2.0 cm from the lower edge of the iliac vein, 1-2 ARM lymph nodes were found in 5 cases; in the 2.0-4.0 cm area, SLN was found in 33 cases, 4 of which found 1 coincident lymph node; at>4.0 cm ARM lymph nodes and overlapping lymph nodes were not found in the cm region, and 1-2 SLNs were found in 3 cases. Conclusions: Individual ICBNs vary greatly, with different shapes and distances from the lower edge of the axillary vein. The axillary region below the iliac vein can be divided into three regions: ARM region (0-2.0 cm); SLN region (2.0-4.0 cm); and sentinel gate region (>4.0 cm). The position 2.0 cm from the lower edge of the iliac vein can be used as the boundary between the ARM lymph node and the SLN. 4. There is a certain proportion of coincidence rate between SLN and ARM lymph nodes.
Collapse
Affiliation(s)
- Z L Fu
- Tianjin Central Hospital of Gynecology Obstetrics, Tianjin 300100, China
| | - L Tian
- Tianjin Central Hospital of Gynecology Obstetrics, Tianjin 300100, China
| | - C Y Zhang
- Tianjin Medical College, Tianjin 300222, China
| | - R Feng
- Tianjin Central Hospital of Gynecology Obstetrics, Tianjin 300100, China
| |
Collapse
|
44
|
Zhang CY, Jiang Y. [The application of repair and reconstruction technology for nasofacial soft tissue]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 55:278-283. [PMID: 32268702 DOI: 10.3760/cma.j.issn.1673-0860.2020.03.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- C Y Zhang
- Qingdao University Medical College, Qingdao 266071, China (Zhang Chanyuan is studying in the Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University)
| | - Y Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266003, China
| |
Collapse
|
45
|
Wu SS, Yu JN, Jiao J, Chen GS, Zhang CY, Yu SF. [Association between PON2 gene polymorphisms and susceptibility to noise-induced hearing loss]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:128-132. [PMID: 32306677 DOI: 10.3760/cma.j.issn.1001-9391.2020.02.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the relationship between SNP and noise-induced hearing loss (NIHL) susceptibility in occupational noise exposure population in China. Methods: From 6297 for a certain steel works in contact with noise, contact length of 3 years or more and workplace noise exposure intensity of 80 dB (A) , ears or high frequency (3 000, 4 000, 6 000 Hz) average of hearing acuity 40 dB (HL) , or high frequency loss in both ears, on the basis of single whisper frequency (500, 1, 000, 2 000 Hz) average threshold of 26 dB (HL) or object as case group. A case-control study was designed with 1:1 matching. Subjects with the same gender, the same type of work, age ±5 years old, and working age ±2 years after noise exposure were selected as the control group. Subjects with any whisper frequency (500, 1, 000, 2, 000 Hz) whose hearing threshold in any frequency band was ≤25 dB (A) and whose average high-frequency hearing threshold in pure tone hearing test was <35 dB (A) were selected as the control group. Four sites of PON2 gene were genotyped by medium-and high-throughput SNP genotyping. Univariate logistic regression was used to analyze the relationship between single SNP polymorphism and NIHL. Results: A total of 286 case-control pairs were included. Smoking was statistically significant difference between cases and controls (P<0.001) . Conclusion: No statistical difference has been found between single SNP polymorphism and NIHL. At the level of greater than 92 dB of high noise exposure, rs7785846 (CT+TT) genotype is a risk factor for occupational noise deafness, and its OR is 2.74 (95%CI: 1.09-6.89) compared with wild homozygous type (CC) . Conclusion. The rs7785846 (CT+TT) genotype carriers of PON2 gene are more susceptible to hearing impairment when exposed to high noise intensity.
Collapse
Affiliation(s)
- S S Wu
- SINOPEC Research Institute of Safty Engineering, Qingdao 266000, China
| | - J N Yu
- SINOPEC Research Institute of Safty Engineering, Qingdao 266000, China
| | - J Jiao
- Henan Provincial Institute of Occupational Health, Zhengzhou 450052, China
| | - G S Chen
- Institute of Occupational Medicine of Wugang, Wugang 462500, China
| | - C Y Zhang
- SINOPEC Research Institute of Safty Engineering, Qingdao 266000, China
| | - S F Yu
- Henan Medical College, Zhengzhou 451191, China
| |
Collapse
|
46
|
Shi EH, Wang LR, Zhao S, Shen L, Zhang CY, Li XX, Li H, Zhang DL. A NEW HETEROCYCLIC COMPOUND: CRYSTAL STRUCTURE AND ANTICANCER ACTIVITY AGAINST HUMAN LUNG ADENOCARCINOMA CELLS. J STRUCT CHEM+ 2020. [DOI: 10.1134/s0022476620070215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
47
|
Kang LL, Liu YP, Shen M, Chen ZH, Song JQ, He RX, Liu Y, Zhang Y, Dong H, Li MQ, Jin Y, Zheng H, Wang Q, Ding Y, Li XY, Li DX, Li HX, Liu XQ, Xiao HJ, Jiang YW, Xiong H, Zhang CY, Wang ZX, Yuan Y, Liang DS, Tian YP, Yang YL. [The phenotypes and genotypes in 314 patients with isolated methylmalonic acidemia]. Zhonghua Er Ke Za Zhi 2020; 58:468-475. [PMID: 32521958 DOI: 10.3760/cma.j.cn112140-20200401-00339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objectives: To summarize the clinical and genetic characteristics of the patients with isolated methylmalonic acidemia and investigate the strategies for the diagnosis, treatment and prevention. Methods: Three hundred and fourteen patients (180 males, 134 females) with isolated methylmalonic acidemia were ascertained from 26 provinces or cities across the mainland of China during January 1998 to March 2020. Genetic analysis was performed by Sanger sequencing, gene panel sequencing, whole exome sequencing, multiplex ligation-dependent probe amplification or quantitative PCR. According to the age of onset, the patients were divided to early-onset group (≤12 months of age) and the late-onset group (>12 months of age). They were treated by cobalamin, L-carnitine and (or) special diet and symptomatic treatment. Statistical analysis was done using Chi-square test. Results: Fifty-eight of 314 (18.5%) patients were detected by Newborn screening using liquid chromatography tandem mass spectrometry. Five cases (1.6%) had a postmortem diagnosis. Two hundred and fifty-one patients (79.9%) were clinically diagnosed with an age of onset ranged from 3 hours after birth to 18 years. One hundred and fifty-nine patients (71.0%) belonged to early-onset groups, 65 patients (29.0%) belonged to the late-onset group. The most common symptoms were metabolic crises, psychomotor retardation, epilepsy, anemia and multiple organ damage. Metabolic acidosis and anemia were more common in early-onset patients than that in late-onset patients (20.8%(33/159) vs. 9.2% (6/65), 34.6% (55/159) vs. 16.9% (11/165), χ(2)=4.261, 6.930, P=0.039, 0.008). Genetic tests were performed for 236 patients (75.2%), 96.2%(227/236) had molecular confirmation. One hundred and twenty-seven variants were identified in seven genes (MMUT, MMAA, MMAB, MMADHC, SUCLG1, SUCLA2, and MCEE), of which 49 were novel. The mut type, caused by the deficiency of methylmalonyl-CoA mutase, was the most common (n=211, 93%) cause of this condition. c.729_730insTT, c.1106G>A and c.914T>C were the three most frequent mutations in MMUT gene. The frequency of c.914T>C in early-onset patients was significantly higher than that in late-onset patients (8.3% (18/216) vs. 1.6% (1/64), χ(2)=3.859, P=0.037). Metabolic crisis was more frequent in mut type than the other types (72.6% (114/157) vs. 3/13, χ(2)=13.729, P=0.001),developmental delay and hypotonia were less frequent in mut type (38.2% (60/157) vs. 9/13, 25.5% (40/157) vs. 8/13, χ(2)=4.789, 7.705, P=0.030, 0.006). Of the 58 patients identified by newborn screening, 44 patients (75.9%) who were treated from asymptomatic phase developed normally whereas 14 patients (24.1%) who received treatment after developing symptoms exhibited varying degrees of psychomotor retardation. Conclusions: The characteristics of phenotypes and genotypes among Chinese patients with isolated methylmalonic acidemia were analyzed. Expanded the mutation spectrum of the associated genes. Because of the complex clinical manifestations and severe early onset of isolated methylmalonic acidemia, Newborn screening is crucial for early diagnosis and improvement of prognosis. MMUT gene is recommended for carrier screening as an effort to move the test earlier as a part of the primary prevention of birth defects.
Collapse
Affiliation(s)
- L L Kang
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - Y P Liu
- Department of Pediatrics, Peking University People's Hospital, Beijing 100044, China
| | - M Shen
- Translational Medicine Laboratory, Chinese People's Liberation Army General Hospital, Beijing 100045, China
| | - Z H Chen
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - J Q Song
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - R X He
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - Y Liu
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing 100029, China
| | - Y Zhang
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - H Dong
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - M Q Li
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - Y Jin
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - H Zheng
- Department of Pediatrics, First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450000, China
| | - Q Wang
- Department of Endocrinology and Genetic Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - Y Ding
- Department of Endocrinology and Genetic Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - X Y Li
- Precision Medicine Center, General Hospital of Tianjin Medical University, Tianjin 300020, China
| | - D X Li
- Department of Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450003, China
| | - H X Li
- Clinical Laboratory, Peking University First Hospital, Beijing 100034, China
| | - X Q Liu
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - H J Xiao
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - Y W Jiang
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - H Xiong
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - C Y Zhang
- Translational Medicine Laboratory, Chinese People's Liberation Army General Hospital, Beijing 100045, China
| | - Z X Wang
- Department of Neurology, Peking University First Hospital, Beijing 100034, China
| | - Y Yuan
- Department of Neurology, Peking University First Hospital, Beijing 100034, China
| | - D S Liang
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha 430074, China
| | - Y P Tian
- Translational Medicine Laboratory, Chinese People's Liberation Army General Hospital, Beijing 100045, China
| | - Y L Yang
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| |
Collapse
|
48
|
Li M, Zhang CY, Li WJ, Zhu CF, Zhang WH. Improving model of corneal fungal-induced ulcer in rabbit. J BIOL REG HOMEOS AG 2020; 34:593-598. [PMID: 32512982 DOI: 10.23812/20-90-l-42] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- M Li
- Department of Ophthalmology, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Department of Ophthalmology, Jinan second People's Hospital, Jinan, Shandong, China
| | - C Y Zhang
- Department of Ophthalmology, Liaocheng People’s Hospital in Shandong Province, Liaocheng, Shandong, China
| | - W J Li
- Department of Ophthalmology, Liaocheng People’s Hospital in Shandong Province, Liaocheng, Shandong, China
| | - C F Zhu
- Department of Ophthalmology, Liaocheng People’s Hospital in Shandong Province, Liaocheng, Shandong, China
| | - W H Zhang
- Department of Ophthalmology, Liaocheng People’s Hospital in Shandong Province, Liaocheng, Shandong, China
| |
Collapse
|
49
|
Ren Q, Zhang CY, Ma XF, Cheng RZ, Bian XY, Xiao XL, Liu XZ, Zhou HF. [Spectomycin B1 induces VEGFR2 de-SUMO modification to inhibit angiogenesis in nasopharyngeal carcinoma]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 33:1181-1184. [PMID: 31914270 DOI: 10.13201/j.issn.1001-1781.2019.12.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Indexed: 11/12/2022]
Abstract
Objective:To explore the new mechanism of spectomycin B1 in inhibiting angiogenesis of nasopharyngeal carcinoma and to provide a theoretical basis for targeted gene therapy of nasopharyngeal carcinoma. Method:Human nasopharyngeal carcinoma CNE1 cells were divided into two groups, the control group and spectomycin B1 group. Western blot was used to detect the expression levels of small ubiquitin-related modified protein(SUMO) 1 and vascular endothelial growth factor receptor 2(VEGFR2). The angiogenesis assay was used to detect the angiogenic ability of CNE1 cells, and the apoptosis was detected by flow cytometry. The model of nasopharyngeal carcinoma-bearing mice was established, spectomycin B1 was administered, tumor volume and weight were measured, and protein expression of CD31 was detected by immunohistochemistry and microvessel density was compared. Result:Spectomycin B1 could reduce deSUMOylation of VEGFR2 protein by 4.05 times, significantly reduce the angiogenic ability of CNE1 cells, and increase the apoptosis rate by 20.68%. In the tumor-bearing mouse model, spectomycin B1 treatment could inhibit subcutaneous tumor growth rate and weight, and the blood vessel density decreased by 40.04%. Conclusion:Spectomycin B1 can inhibit neovascularization of nasopharyngeal carcinoma by inducing deSUMOylation of VEGFR2 protein.
Collapse
Affiliation(s)
- Q Ren
- Department of Otorhinolaryngology,the Fifth Central Hospital of Tianjin,Tianjin,300450,China
| | - C Y Zhang
- Department of Pharmacy,Tianjin Binhai New Area Hospital of Traditional Chinese Medicine
| | - X F Ma
- Central Laboratory,the Fifth Central Hospital of Tianjin
| | - R Z Cheng
- Department of Pharmacy,Tianjin Binhai New Area Hospital of Traditional Chinese Medicine
| | - X Y Bian
- Central Laboratory,the Fifth Central Hospital of Tianjin
| | - X L Xiao
- Central Laboratory,the Fifth Central Hospital of Tianjin
| | - X Z Liu
- Central Laboratory,the Fifth Central Hospital of Tianjin
| | - H F Zhou
- Department of Otorhinolaryngology,Tianjin Medical University General Hospital
| |
Collapse
|
50
|
Zhang SN, Jiang Y, Yu LG, Zhao LJ, Li LL, Zhang CY, Xu WR, Li N. [Clinical analysis of transnasal endoscopic repair of cerebrospinal fluid rhinorrhea]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 33:1189-1195;1199. [PMID: 31914272 DOI: 10.13201/j.issn.1001-1781.2019.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Indexed: 11/12/2022]
Abstract
Objective:To summarize the common clinical types of cerebrospinal fluid(CSF) rhinorrhea and key points of transnasal endoscopic repair of CSF rhinorrhea. To evaluate clinical effects. Method:In 29 patients with cerebrospinal fluid rhinorrhea, 9 patients with traumatic CSF rhinorrhea, 10 patients with spontaneous CSF rhinorrhea, 7 patients with CSF rhinorrhea after tumour excision, and 3 patients with iatrogenic CSF rhinorrhea. All the 29 patients were treated with transnasal endoscopic repair of CSF rhinorrhea. Result:There were 25 patients were successfully repaired at one time. Three patients developed intracranial infection and 2 patient developed pneumocephalus after surgery, all of them were cured with conservative treatment. All the patients who were followed-up for more than half a year had no recurrence. Conclusion:Transnasal endoscopic repair of CSF rhinorrhea is safe and effective, the success rate of operation is high, it is not easy to recur, and the complications are few. It can be used as the first choice for repairing of CSF rhinorrhea and effective prevention measures. Accurate location of leak, appropriate repair, effective reconstruction of the skull base, continuous drainage of the lumbar cistern when necessary and active prevention of intracranial infection are critical to the success of operation.
Collapse
Affiliation(s)
- S N Zhang
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| | - Y Jiang
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| | - L G Yu
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| | - L J Zhao
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| | - L L Li
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| | - C Y Zhang
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| | - W R Xu
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| | - N Li
- Department of Otorhinolaryngology Head and Neck Surgery/Nasal Skull Base Surgery,the Affiliated Hospital of Qingdao University,Shandong Key Laboratory of Otorhinolaryngology Head and Neck Surgery,Qingdao,266000,China
| |
Collapse
|