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Cui TT, Huang JX, Ning BL, Mu F, Chen HY, Xing TY, Li H, Wang N. DNA methylation promotes the expression of PPARγ transcript 1 at least in part by preventing NRF1 binding to the promoter P1 of chicken PPARγ gene. Poult Sci 2024; 103:103559. [PMID: 38430780 PMCID: PMC10912915 DOI: 10.1016/j.psj.2024.103559] [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: 10/28/2023] [Revised: 12/16/2023] [Accepted: 02/12/2024] [Indexed: 03/05/2024] Open
Abstract
Peroxisome proliferator-activated receptor gamma (PPARγ) is a master regulator of adipogenesis. Our previous study revealed that chicken PPARγ has 3 alternative promoters named as P1, P2, and P3, and the DNA methylation of promoter P3 was negatively associated with PPARγ mRNA expression in abdominal adipose tissue (AAT). However, the methylation status of promoters P1 and P2 is unclear. Here we assessed promoter P1 methylation status in AAT of Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF). The results showed that promoter P1 methylation differed in AAT between the lean and fat lines of NEAUHLF at 7 wk of age (p < 0.05), and AAT expression of PPARγ transcript 1 (PPARγ1), which was derived from the promoter P1, was greatly higher in fat line than in lean line at 2 and 7 wk of age. The results of the correlation analysis showed that P1 methylation was positively correlated with PPARγ1 expression at 7 wk of age (Pearson's r = 0.356, p = 0.0242), suggesting P1 methylation promotes PPARγ1 expression. To explore the underlying molecular mechanism of P1 methylation on PPARγ1 expression, bioinformatics analysis, dual-luciferase reporter assay, pyrosequencing, and electrophoresis mobility shift assay (EMSA) were performed. The results showed that transcription factor NRF1 repressed the promoter activity of the unmethylated P1, but not the methylated P1. Of all the 4 CpGs (CpG48, CpG49, CpG50, and CpG51), which reside within or nearby the NRF1 binding sites of the P1, only CpG49 methylation in AAT was remarkably higher in the fat line than in lean line at 7 wk of age (3.18 to 0.57, p < 0.05), and CpG49 methylation was positively correlated with PPARγ1 expression (Pearson's r = 0.3716, p = 0.0432). Furthermore, EMSA showed that CpG49 methylation reduced the binding of NRF1 to the P1. Taken together, our findings illustrate that P1 methylation promotes PPARγ1 expression at least in part by preventing NRF1 from binding to the promoter P1.
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Affiliation(s)
- T T Cui
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; College of Life Science and Agriculture Forestry, Qiqihar University, Qiqihar, 161006, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - J X Huang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - B L Ning
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - F Mu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - H Y Chen
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - T Y Xing
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - H Li
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - N Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China.
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Yang HC, He JX, Yang Y, Han Z, Zhang B, Zhou S, Wu T, Qiao Q, He XL, Wang N. [Propensity score matching analysis of the short-term efficacy of Kamikawa versus double- tract reconstruction in laparoscopic proximal gastric cancer surgery]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:261-267. [PMID: 38532588 DOI: 10.3760/cma.j.cn441530-20230809-00040] [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: 03/28/2024]
Abstract
Objective: To compare the short-term efficacy of Kamikawa anastomosis and double-tract reconstruction (DTR) after proximal gastrectomy. Methods: This was a propensity score matched, retrospective, cohort study. Inclusion criteria comprised age 20-70 years, diagnosis of gastric cancer by pathological examination of preoperative endoscopic biopsies, tumor diameter ≤4 cm, and location in the upper 1/3 of the stomach (including the gastroesophageal junction), and TNM stage IA, IB, or IIA. The study cohort comprised 73 patients who had undergone laparoscopic proximal gastric cancer radical surgery in the Department of Gastroenterology, Tangdu Hospital, Air Force Medical University between June 2020 and February 2023, 19 of whom were in the Kamikawa group and 54 in the DTR group. After using R language to match the baseline characteristics of patients in a ratio of 1:2, there were 17 patients in the Kamikawa group and 34 in the DTR group. Surgery-related conditions, postoperative quality of life, and postoperative complications were compared between the two groups. Results: After propensity score matching, there were no statistically significant differences in baseline data between the two groups (P>0.05). Compared with the DTR group, the Kamikawa group had longer operative times (321.5±15.7 minutes vs. 296.8±26.1 minutes, t=32.056, P<0.001), longer anastomosis times (93.0±6.8 minutes vs. 45.3±7.7 minutes, t=56.303, P<0.001), and less bleeding (76 [54~103] mL vs.112 [82~148) mL, Z=71.536, P<0.001); these differences are statistically significant. There were no statistically significant differences between the two groups in tumor size, time to first postoperative passage of gas, postoperative hospital stay, number of lymph nodes removed, duration of lymph node dissection, or total hospitalization cost (all P>0.05). The median follow-up time was 6.1 ± 1.8 months. As to postoperative quality of life, the Kamikawa group had a lower rate of upper gastrointestinal contrast reflux than did the DTR group (0 vs. 29.4% [10/34], χ2=6.220, P=0.013); this difference is statistically significant. However, differences between the two groups in quality of life score on follow-up of 3 months and 6 months on the Gastroesophageal Reflux Disease (GERD) scale were not statistically significant (all P>0.05). The incidence of postoperative complications was 2/17 in the Kamikawa group, which is significantly lower than the 41.2% (14/34) in the DTR group (χ2=4.554, P=0.033). Conclusion: Kamikawa anastomosis and DTR are equally safe and effective procedures for reconstructing the digestive tract after proximal gastric surgery. Although Kamikawa anastomosis takes slightly longer and places higher demands on the surgical team, it is more effective at preventing postoperative reflux.
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Affiliation(s)
- H C Yang
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - J X He
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - Y Yang
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - Z Han
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - B Zhang
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - S Zhou
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - T Wu
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - Q Qiao
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - X L He
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
| | - N Wang
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, China
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Wang N, Gao YY, Qi BQ, Ruan M, Lyu H, Zhang XY, Zhang RR, Liu TF, Chen YM, Zou Y, Guo Y, Yang WY, Zhang L, Zhu XF, Chen XJ. [Clinical features and prognostic analysis of testicular relapse in pediatric acute lymphoblastic leukemia]. Zhonghua Er Ke Za Zhi 2024; 62:262-267. [PMID: 38378289 DOI: 10.3760/cma.j.cn112140-20230816-00110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Objective: To investigate the clinical features and prognosis of testicular relapse in pediatric acute lymphoblastic leukemia (ALL). Methods: Clinical data including the age, time from initial diagnosis to recurrence, relapse site, and therapeutic effect of 37 pediatric ALL with testicular relapse and treated in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences between November 2011 and December 2022 were analyzed retrospectively. Patients were grouped according to different clinical data. Kaplan-Meier analysis was used to evaluate the overall survival (OS) rate and event free survival (EFS) rate for univariate analysis, and Cox proportional-hazards regression model was used to evaluate the influencing factors of OS rate and EFS rate for multivariate analysis. Results: The age at initial diagnosis of 37 pediatric testicular relapse patients was (5±3) years and the time from initial diagnosis to testicular recurrence was (37±15) months. The follow-up time was 43 (22, 56) months. Twenty-three patients (62%) were isolated testis relapse. The 5-year OS rate and EFS rate of the 37 relapsed children were (60±9) % and (50±9) % respectively. Univariate analysis showed that the 2-year EFS rate in the group of patients with time from initial diagnosis to testicular recurrence >28 months was significantly higher than those ≤28 months ((69±10)% vs. (11±11)%, P<0.05), 2-year EFS rate of the isolated testicular relapse group was significantly higher than combined relapse group ((66±11)% vs. (20±13) %, P<0.05), 2-year EFS rate of chimeric antigen receptor T (CAR-T) cell treatment after relapse group was significantly higher than without CAR-T cell treatment after relapse group ((78±10)% vs. (15±10)%, P<0.05). ETV6-RUNX1 was the most common genetic aberration in testicular relapsed ALL (38%, 14/37). The 4-year OS and EFS rate of patients with ETV6-RUNX1 positive were (80±13) % and (64±15) %, respectively. Multivariate analysis identified relapse occurred≤28 months after first diagnosis (HR=3.09, 95%CI 1.10-8.72), combined relapse (HR=4.26, 95%CI 1.34-13.52) and CAR-T cell therapy after relapse (HR=0.15,95%CI 0.05-0.51) were independent prognostic factors for 2-year EFS rate (all P<0.05). Conclusions: The outcome of testicular relapse in pediatric ALL was poor. They mainly occurred 3 years after initial diagnosis. ETV6-RUNX1 is the most common abnormal gene.Patients with ETV6-RUNX1 positive often have a favorable outcome. Early relapse and combined relapse indicate unfavorable prognosis, while CAR-T cell therapy could significantly improve the survival rate of children with testicular recurrence.
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Affiliation(s)
- N Wang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Y Gao
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - B Q Qi
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - M Ruan
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - H Lyu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X Y Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - R R Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - T F Liu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y M Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Zou
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Guo
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - W Y Yang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - L Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X F Zhu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X J Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
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Lu Q, Wang N, Jiang K, Zhou H, Zhang P, Zhang J, Wang S, Sun P, Xu F. Comprehensive genomic profiling to identify actionable alterations for breast cancer brain metastases in the Chinese population. ESMO Open 2024; 9:102389. [PMID: 38460250 PMCID: PMC10940923 DOI: 10.1016/j.esmoop.2024.102389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/24/2023] [Accepted: 01/27/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Breast cancer brain metastasis (BCBM) is a crucial issue in the treatment of breast cancer and is associated with poor prognosis. Therefore, novel therapeutic targets are urgently needed in clinical practice. In this study, we aimed to identify potential actionable targets in brain metastases (BMs) utilising the FoundationOne® CDx (F1CDx). PATIENTS AND METHODS Formalin-fixed paraffin-embedded archived specimens including 16 primary breast tumours (PTs), 49 BCBMs and 7 extracranial metastases (ECMs) from 54 patients who underwent surgery for BCBM were tested using F1CDx. Tumour-infiltrated lymphocytes (TILs) of BMs were also tested using haematoxylin-eosin staining. RESULTS The median tumour mutational burden (TMB) and TILs in BMs were 5.0 (range 0-29) mut/Mb and 1.0% (range 0%-5.0%), respectively. High TMB (≥10 mut/Mb) was detected in four cases (8%). Genomic alterations (GAs) were detected in all samples. The top-ranked somatic mutations in BMs were TP53 (82%), PIK3CA (35%), MLL2 (22%), BRCA2 (14%) and ATM (14%) and the most prevalent copy number alterations were ERBB2 (64%), RAD21 (36%), CCND1 (32%), FGF19 (30%) and FGF3 (30%). The most prevalent GAs were relatively consistent between paired PTs and BMs. Actionable GAs were detected in 94% of all BMs. Consistent rate in actionable GAs was 38% (6/16) between paired PTs/ECMs and BMs. Compared to matched PTs/ECMs, additional actionable GAs (BRAF, FGFR1, PTEN, KIT and CCND1) were discovered in 31% (5/16) of the BMs. CONCLUSIONS TMB and TILs were relatively low in BCBMs. Comparable consistency in actionable GAs was identified between BCBMs and matched PTs/ECMs. It was, therefore, logical to carry out genomic testing for BCBMs to identify potential new therapeutic targets when BCBM specimens were available, as ∼31% of samples carried additional actionable GAs.
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Affiliation(s)
- Q Lu
- Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - N Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - K Jiang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - H Zhou
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - P Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - J Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - S Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - P Sun
- Department of Pathology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
| | - F Xu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
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Huang Y, Ge R, Qian J, Lu J, Qiao D, Chen R, Jiang H, Cui D, Zhang T, Wang N, He S, Wang M, Yan F. Lacticaseibacillus rhamnosus GG Improves Periodontal Bone Repair via Gut-Blood Axis in Hyperlipidemia. J Dent Res 2024; 103:253-262. [PMID: 38197171 DOI: 10.1177/00220345231217402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024] Open
Abstract
Periodontal bone regeneration remains a clinical challenge, and hyperlipidemia can aggravate alveolar bone resorption. Probiotics have recently been reported to improve bone mass. We aimed to determine the role of Lacticaseibacillus rhamnosus GG (LGG) in periodontal bone regeneration improvement within the context of periodontitis with hyperlipidemia. A Sprague Dawley rat model for periodontitis, hyperlipidemia, and periodontal fenestration defect was constructed (n = 36) and administered LGG gavage for 6 wk (the rats were subsequently sacrificed). Fecal microbiota from donor rats 3 wk after LGG gavage was transplanted into recipient rats to evaluate the role of LGG-modulated gut microbiota in periodontal bone regeneration. Regenerated bone mass was detected using micro-computerized tomography and hematoxylin and eosin stain. Gut microbiota was analyzed using 16S ribosomal RNA sequencing. Serum metabolites were detected by liquid chromatography-mass spectrometry (6 wk after LGG gavage). The pro-osteogenic effects of screened serum metabolite were verified in vitro on bone marrow mesenchymal stem cells (BMMSCs). We found that the bone mineral density, bone volume (BV), trabecular bone volume fraction (BV/TV), and trabecular thickness of the regenerated periodontal bone increased after LGG gavage (P < 0.05) but had little effect on oral flora. After LGG gavage, Staphylococcus, Corynebacterium, and Collinsella in the gut of donors were significantly changed, and these differences were maintained in recipients, who also showed increased trabecular thickness of the regenerated periodontal bone (P < 0.05). These key genera were correlated with BV/TV and BV (P < 0.05). In addition, LGG gavage significantly regulated bone-related blood metabolites, of which selenomethionine promoted BMMSC osteogenesis. Notably, selenomethionine was associated with key gut genera (P < 0.05). Collectively, LGG improved periodontal bone regeneration in the context of periodontitis with hyperlipidemia by modulating gut microbiota and increasing pro-osteogenic metabolites in the blood. These results reveal new insights into the use of probiotics to promote periodontal bone regeneration via the gut-blood-bone axis.
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Affiliation(s)
- Y Huang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Periodontology, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - R Ge
- School of Stomatology, Zunyi Medical University, Zunyi, China
| | - J Qian
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - J Lu
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - D Qiao
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - R Chen
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - H Jiang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Stomatology, Dushu Lake Hospital Affiliated to Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, China
| | - D Cui
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - T Zhang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - N Wang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - S He
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - M Wang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - F Yan
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
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Xia BC, Cong BB, Wang HL, Ma SH, Song JH, Wang N, Zhang Y, Li Y. [Current Status of Surveillance Systems for Human Respiratory Syncytial Virus]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:1-18. [PMID: 38403284 DOI: 10.3760/cma.j.cn112150-20240108-00022] [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: 02/27/2024]
Abstract
To conduct timely surveillance of the seasonal characteristics and disease burden of Human Respiratory Syncytial Virus (HRSV) in various geographical regions of China, and further develop more precise and effective prevention and intervention strategies, there is an urgent need for China to establish a nationwide, effective, and stable HRSV surveillance system. Through combining the current status of domestic and international HRSV surveillance systems and the existing surveillance framework in China, this study proposed an HRSV surveillance type applicable to China based on different surveillance purposes, and considering the feasibility of implementation. This article aimed to provide solid scientific and technical support to monitor the dynamic changes of HRSV epidemic timely, carry out a risk assessment and early warning, and further understand the disease burden of HRSV in China. It also helps to improve the diagnosis, prevention, and control of the HRSV diseases research and development, use, and evaluation of HRSV vaccines and drugs in China.
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Affiliation(s)
- B C Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases/NHC Key Laboratory of Medical Virology and Viral Diseases/National Measles Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing 102206, China
| | - B B Cong
- National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H L Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases/NHC Key Laboratory of Medical Virology and Viral Diseases/National Measles Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing 102206, China
| | - S H Ma
- National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - J H Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases/NHC Key Laboratory of Medical Virology and Viral Diseases/National Measles Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing 102206, China
| | - N Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases/NHC Key Laboratory of Medical Virology and Viral Diseases/National Measles Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing 102206, China
| | - Y Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases/NHC Key Laboratory of Medical Virology and Viral Diseases/National Measles Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing 102206, China
| | - Y Li
- National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Yang HB, Gan ZG, Li YJ, Liu ML, Xu SY, Liu C, Zhang MM, Zhang ZY, Huang MH, Yuan CX, Wang SY, Ma L, Wang JG, Han XC, Rohilla A, Zuo SQ, Xiao X, Zhang XB, Zhu L, Yue ZF, Tian YL, Wang YS, Yang CL, Zhao Z, Huang XY, Li ZC, Sun LC, Wang JY, Yang HR, Lu ZW, Yang WQ, Zhou XH, Huang WX, Wang N, Zhou SG, Ren ZZ, Xu HS. Discovery of New Isotopes ^{160}Os and ^{156}W: Revealing Enhanced Stability of the N=82 Shell Closure on the Neutron-Deficient Side. Phys Rev Lett 2024; 132:072502. [PMID: 38427897 DOI: 10.1103/physrevlett.132.072502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/12/2023] [Accepted: 01/19/2024] [Indexed: 03/03/2024]
Abstract
Using the fusion-evaporation reaction ^{106}Cd(^{58}Ni,4n)^{160}Os and the gas-filled recoil separator SHANS, two new isotopes _{76}^{160}Os and _{74}^{156}W have been identified. The α decay of ^{160}Os, measured with an α-particle energy of 7080(26) keV and a half-life of 201_{-37}^{+58} μs, is assigned to originate from the ground state. The daughter nucleus ^{156}W is a β^{+} emitter with a half-life of 291_{-61}^{+86} ms. The newly measured α-decay data allow us to derive α-decay reduced widths (δ^{2}) for the N=84 isotones up to osmium (Z=76), which are found to decrease with increasing atomic number above Z=68. The reduction of δ^{2} is interpreted as evidence for the strengthening of the N=82 shell closure toward the proton drip line, supported by the increase of the neutron-shell gaps predicted in theoretical models.
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Affiliation(s)
- H B Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Z G Gan
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516007, China
| | - Y J Li
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - M L Liu
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China
| | - S Y Xu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - C Liu
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - M M Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Z Y Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - M H Huang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516007, China
| | - C X Yuan
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China
| | - S Y Wang
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - L Ma
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J G Wang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - X C Han
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - A Rohilla
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - S Q Zuo
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - X Xiao
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - X B Zhang
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - L Zhu
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - Z F Yue
- School of Space Science and Physics, Shandong University, Weihai 264209, China
| | - Y L Tian
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516007, China
| | - Y S Wang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516007, China
| | - C L Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - X Y Huang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Li
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - L C Sun
- Guangxi Key Laboratory of Nuclear Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - J Y Wang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516007, China
| | - H R Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z W Lu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - W Q Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - X H Zhou
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - W X Huang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516007, China
| | - N Wang
- Guangxi Key Laboratory of Nuclear Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - S G Zhou
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - Z Z Ren
- School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
| | - H S Xu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516007, China
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Li SX, Wang N, Su M, Jiang XY, Gao H, Shi WY. [Intraoperative optical coherence tomography guided precise corneal suture in the treatment of acute keratoconus]. Zhonghua Yan Ke Za Zhi 2024; 60:147-155. [PMID: 38296320 DOI: 10.3760/cma.j.cn112142-20231016-00145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Objective: This study aimed to observe the clinical efficacy of precise suturing of posterior elastic layer fissures guided by intraoperative optical coherence tomography (OCT) in conjunction with anterior chamber puncture and drainage, and corneal thermokeratoplasty for the treatment of severe acute edematous keratoconus. Methods: Non-randomized controlled trial. Data were collected for a study involving 31 cases of acute edematous keratoconus patients who underwent surgical treatment at the Shandong Eye Hospital between June 2017 and July 2021. Among them, there were 30 male and 1 female patients, with an age range of 11 to 32 years and a mean age of (19.80±5.80) years. Eighteen patients in the study group underwent precise suturing of posterior elastic layer fissures guided by intraoperative OCT, in combination with anterior chamber puncture and drainage, and corneal thermokeratoplasty. Thirteen patients in the control group did not undergo suturing. Preoperative visual acuity, corneal edema diameter, corneal thickness, and posterior elastic layer fissure length were collected. Evaluation was performed using slit lamp microscopy, anterior segment OCT, and other methods to assess the time of initial postoperative corneal edema resolution and closure of the posterior elastic layer fissure. Deep lamellar keratoplasty was performed 2 to 4 weeks after edema resolution, and the corneal bed scar repair and visual acuity of the two groups were compared. Results: In the suturing group, the corneas of all 18 patients were accurately sutured to the deep stromal layer near the posterior elastic layer. The time for corneal edema resolution was 2.50 (1.00, 6.25) days in the suturing group and 7.00 (6.00, 10.50) days in the control group. The fissure healing time was 7.50 (7.00, 12.00) days in the suturing group and 14.00 (9.00, 14.00) days in the control group. The differences were statistically significant (all P<0.05). After 2 weeks, the central corneal thickness decreased to (529.80±174.50) μm in the suturing group and (612.00±205.12) μm in the control group. The suturing group showed accurate corneal suturing to the deep stromal layer near the posterior elastic layer, resulting in central corneal flattening, closure of voids in the stroma, and a significant decrease in corneal thickness. All 18 patients in the suturing group successfully completed deep lamellar keratoplasty, with 6 cases (6/18) experiencing mild graft bed leakage during surgery but without affecting the deep lamellar keratoplasty. One year postoperatively, the visual acuity (logarithm of the minimum resolution angle) was 0.23±0.12 in the suturing group and 0.33±0.11 in the control group, with a statistically significant difference (P<0.05). Conclusions: In the treatment of severe acute edematous keratoconus, precise suturing of posterior elastic layer fissures guided by intraoperative OCT, in conjunction with anterior chamber puncture and drainage, and corneal thermokeratoplasty, can rapidly alleviate corneal edema and promote the healing of posterior elastic layer fissures. This approach achieves better visual outcomes for subsequent lamellar keratoplasty surgeries. The use of intraoperative OCT guidance allows accurate positioning of the posterior elastic layer fissure in terms of location, direction, and depth of corneal stromal voids, thereby assisting surgeons in precise suturing.
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Affiliation(s)
- S X Li
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - N Wang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - M Su
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - X Y Jiang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - H Gao
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - W Y Shi
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
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Zhang Y, Liu Y, Gu X, Wang N, Wan J, Zhang Y, Chen L. [Epidemiological and clinical features of newly reported advanced schistosomiasis cases in Sichuan Province from 2011 to 2022]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:621-625. [PMID: 38413023 DOI: 10.16250/j.32.1374.2023148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
OBJECTIVE To analyze the epidemiological characteristics of newly reported advanced schistosomiasis cases in Sichuan Province, so as to provide the evidence for analyzing the causes and formulating targeted control measures of newly reported advanced schistosomiasis cases. METHODS Individual case investigation forms for advanced schistosomiasis cases were collected from the Sichuan Provincial Epidemic Annual Report System from 2011 to 2022, and patients' demographics, previous medical history and liver parenchymal grading were retrieved. All advanced schistosomiasis cases' medical records were reviewed, and the subtypes of schistosomiasis-endemic villages where the cases' household registration were, floating population, survival and death and time of death were collected. RESULTS A total of 321 newly reported advanced schistosomiasis cases were found in Sichuan Province from 2011 to 2022, with a male to female ratio of 0.99 to 1. There were 274 cases at ages of over 50 years (85.4%), with the highest proportion seen at ages of 60 to 69 years (87 cases, 27.1%), and splenomegaly was the most common type (180 cases, 56.1%), with no dwarfism type detected. The highest number of cases was reported in 2011 (78 cases), followed by in 2022 (74 cases), and the highest number of cases were reported in Meishan City (199 cases, 62.0%), Dongpo District (131 cases, 40.8%), and hilly subtype areas (136 cases, 42.4%). As of the end of 2022, there were 111 deaths due to advanced schistosomiasis, with the highest number of deaths seen in 2018 (25 deaths), and the highest mortality was seen among patients with the ascites type (41.2%). There were 47 (37.3%), 40 (59.5%) and 4 (23.5%) cases with grade III liver parenchyma among patients with splenomegaly, ascites, and colonic proliferation types, respectively, and there was a significant difference in the grading of III liver parenchyma among three types of patients (H = 12.092, P < 0.05), with more severe liver parenchyma injuries seen among patients with the ascites type than among those with splenomegaly and colonic proliferation type (Z = 24.262 and 44.738, both Padjusted values < 0.05). CONCLUSIONS There have been newly reported advanced schistosomiasis cases in Sichuan Province during recent years, and patients with the ascites type should be given a high priority among advanced schistosomiasis cases in Sichuan Province. Intensified clue surveys are needed for early identification and treatment of advanced schistosomiasis cases, so as to increase the survival rate and improve the quality of life.
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Affiliation(s)
- Y Zhang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - Y Liu
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - X Gu
- Zhongjiang County Station of Schistosomiasis Prevention and Control, Deyang City, Sichuan Province, China
| | - N Wang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - J Wan
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - Y Zhang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - L Chen
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
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10
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Wang N, May PJ. The ultrastructure of macaque mesencephalic trigeminal nucleus neurons. Exp Brain Res 2024; 242:295-307. [PMID: 38040856 DOI: 10.1007/s00221-023-06746-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/06/2023] [Indexed: 12/03/2023]
Abstract
Primary afferents originating from the mesencephalic trigeminal nucleus provide the main source of proprioceptive information guiding mastication, and thus represent an important component of this critical function. Unlike those of other primary afferents, their cell bodies lie within the central nervous system. It is believed that this unusual central location allows them to be regulated by synaptic input. In this study, we explored the ultrastructure of macaque mesencephalic trigeminal nucleus neurons to determine the presence and nature of this synaptic input in a primate. We first confirmed the location of macaque mesencephalic trigeminal neurons by retrograde labeling from the masticatory muscles. Since the labeled neurons were by far the largest cells located at the edge of the periaqueductal gray, we could undertake sampling for electron microscopy based on soma size. Ultrastructurally, mesencephalic trigeminal neurons had very large somata with euchromatic nuclei that sometimes displayed deeply indented nuclear membranes. Terminal profiles with varied vesicle characteristics and synaptic density thicknesses were found in contact with either their somatic plasma membranes or somatic spines. However, in contradistinction to other, much smaller, somata in the region, the plasma membranes of the mesencephalic trigeminal somata had only a few synaptic contacts. They did extend numerous somatic spines of various lengths into the neuropil, but most of these also lacked synaptic contact. The observed ultrastructural organization indicates that macaque trigeminal mesencephalic neurons do receive synaptic contacts, but despite their central location, they only avail themselves of very limited input.
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Affiliation(s)
- Niping Wang
- Department of Periodontics and Preventive Sciences, School of Dentistry, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA.
| | - Paul J May
- Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical Center, Jackson, MS, 39216, USA
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Wan J, Yu C, Wang N, Pu C, Zhang Y, Liu D, Cao Z, Zheng B, Liu Y. [Tracking evaluation on the implementation of Survey of oncomelanid snails (WS/T 563-2017) in Sichuan and Anhui provinces]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:638-640. [PMID: 38413026 DOI: 10.16250/j.32.1374.2023162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
To evaluate the implementation of Survey of oncomelanid snails (WS/T 563-2017) in schistosomiasis-endemic foci, two schistosomiasis-endemic counties were selected from two provinces of Sichuan and Anhui. Professional staff working in province-, city-, county- and township-level disease control and prevention institutions, parasitic disease control institutions or medical institutions were recruited, and the understanding, use and implementation of Survey of oncomelanid snails (WS/T 563-2017) were investigated using questionnaires and interviews. The awareness, use, proportion of propagation and implementation and correct rate of answering questions pertaining to Survey of oncomelanid snails (WS/T 563-2017) were analyzed. A total of 270 questionnaires were allocated, and 269 were recovered, including 254 valid questionnaires. The overall awareness of Survey of oncomelanid snails (WS/T 563-2017) was 84.64% (215/254), and propagation and implementation of Survey of oncomelanid snails (WS/T 563-2017) was not performed in 23.28% (17/73) of the survey institutions following implementation of Survey of oncomelanid snails (WS/T 563-2017), with meeting training and allocation of propagation materials as the main type of propagation and implementation. Among 254 respondents, 77.16% (196/254) were familiar with the standard, 66.14% (168/254) understood the conditions for use of the standard during snail surveys, and 96.85% (246/254) had the approach for identifying snails. In addition, there were 41.73% (106/254), 50.78% (129/254) and 7.48% (19/254) of respondents that considered the operability of Survey of oncomelanid snails (WS/T 563-2017) was very good, good and general, respectively. The findings demonstrate that the issue and implementation of Survey of oncomelanid snails (WS/T 563-2017) has filled the gap for the standardization of snail control techniques, and which plays an importang guiding role in the national schistosomiasis control program.
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Affiliation(s)
- J Wan
- Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - C Yu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, China
| | - N Wang
- Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - C Pu
- Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - Y Zhang
- Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - D Liu
- Anhui Institute of Schistosomiasis Control, China
| | - Z Cao
- Anhui Institute of Schistosomiasis Control, China
| | - B Zheng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, China
| | - Y Liu
- Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
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12
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Wang N, Wen CM, Gao J, Bai FH, Liu YF, Sun J. [Relationship between blood glucose variation, collateral circulation and Batman score and prognosis after mechanical thrombectomy with Solitaire stent in acute posterior vascular occlusive stroke]. Zhonghua Yi Xue Za Zhi 2024; 104:365-370. [PMID: 38281805 DOI: 10.3760/cma.j.cn112137-20230822-00282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
Objective: To explore the relationship between blood glucose variability, collateral circulation and basilar artery computed scan angiography score (Batman) and prognosis of mechanical thrombectomy with Solitaire stent in patients with large vascular occlusive APCI. Methods: A retrospective study was conducted on 113 patients with large vessel occlusive APCI who underwent Solitaire stent mechanical thrombectomy in the Department of Neurology of Nanyang Central Hospital from March 2021 to July 2022. According to the prognosis, they were divided into outcome group (46 cases) and adverse group (67 cases). Evaluate the prognosis based on the Modified Rankin Scale three months after the surgery. The differences in collateral circulation, GV and Batman score between the two groups were compared, and the related factors affecting the prognosis of large vessel occlusive APCI patients treated with Solitaire stent mechanical thrombectomy were analyzed by multivariate logistic regression model. Results: The age of 113 patients with acute large vessel occlusive APCI was (65.3±8.9) years old. The proportion of female was 34.5% (39 cases). Compared with the outcome group, the adverse group had a lower proportion of collateral circulation [40 cases (87.0%) vs 47 cases (70.2%)], higher GV score [(25.19±3.54) vs (30.36±4.11) points], lower Batman score [(7.49±1.52) vs (6.65±1.33) points], higher proportion of atrial fibrillation history [16 cases (23.9%) vs 4 cases (8.7%)], higher National Institutes of Health Stroke Scale (NIHSS) score at admission [(8.33±0.74) vs (7.25±0.92) points], larger core infarct volume [(32.57±4.87) vs (29.54±5.14) ml], and longer time from admission to vascular recanalization [(123.52±31.17) vs (102.47±29.54) min] (all P<0.05). Atrial fibrillation history, core infarct volume, NIHSS score at admission, time from admission to vascular recanalization, glycemic variability, collateral circulation, and Batman score were related factors for the prognosis of large vessel occlusive APCI patients treated with Solitaire stent mechanical thrombectomy, with ORvalues (95%CI) of 1.383 (1.124-1.641), 1.166 (1.007-1.350), 4.777 (1.856-12.297), 3.068 (2.379-3.757), 1.477 (1.209-1.806), 0.742 (0.654-0.831), and 0.717 (0.214-1.221), respectively (all P<0.05). Conclusion: Blood glucose variation is a risk factor for prognosis of mechanical thrombectomy with Solitaire stent in patients with large vascular occlusive APCI, and collateral circulation and Batman score are protective factors.
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Affiliation(s)
- N Wang
- Nanyang Central Hospital, Neurology Department Cerebrovascular Disease Intervention Ward, Nanyang 473000, China
| | - C M Wen
- Nanyang Central Hospital, Neurology Department Cerebrovascular Disease Intervention Ward, Nanyang 473000, China
| | - J Gao
- Nanyang Central Hospital, Neurology Department Cerebrovascular Disease Intervention Ward, Nanyang 473000, China
| | - F H Bai
- Nanyang Central Hospital, Neurology Department Cerebrovascular Disease Intervention Ward, Nanyang 473000, China
| | - Y F Liu
- Nanyang Central Hospital, Pediatric Surgery Department, Nanyang 473000, China
| | - J Sun
- Nanyang Central Hospital, Neurology Department, Nanyang 473000, China
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13
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Cong S, Fang LW, Fan J, Wang N, Wang WJ, Wu J. [Analysis on occupational dust or harmful gas exposure and protection in people aged 40 and above in China, 2019-2020]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:87-94. [PMID: 38228529 DOI: 10.3760/cma.j.cn112338-20230925-00188] [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: 01/18/2024]
Abstract
Objective: To understand the current status of occupational exposure to dust or harmful gases and occupational protection in people aged ≥40 years in China, and provide data support for the prevention and control of occupational dust or harmful gas exposure. Methods: The data were obtained from the surveillance for chronic obstructive pulmonary disease (COPD) in adults aged ≥40 years selected by multi-stage stratified cluster sampling from 125 surveillance points in 31 provinces (autonomous regions and municipalities) during 2014-2015 and 2019-2020, and relevant information about occupational dust or harmful gas exposure and protection measures were collected through face-to-face interviews. Occupational dust or harmful gas exposure rate and occupational protection rate were estimated by using weighting complex sampling methods, and then the results were compared. Results: From 2014 to 2015 and from 2019 to 2020, a total of 71 061 and 71 023 individuals aged ≥40 years were surveyed, respectively. The rate of occupational exposure to dust or hazardous gas was 33.8% (95%CI: 29.9%-37.7%) during 2019-2020. The occupational exposure rate was higher in men than in women and in rural residents than in urban residents. With the increase of education level, the rate of occupational exposure to dust or harmful gas showed a downward trend. The protection rate against occupational dust or hazardous gas exposure was 47.9% (95%CI: 43.2%-52.6%) during 2019-2020. Compared with 2014-2015, the rate of occupational exposure to dust or hazardous gas decreased by 10.7 percentage points in different gender, area and occupational groups and the occupational protection rate increased by 21.9 percentage points during 2019-2020. The decrease in occupational exposure rate was higher in western China than in eastern and central China, and the increase in occupational protection rate was higher in western China than in eastern and central China. Conclusions: The rate of occupational exposure to dust or harmful gas decreased and the rate of occupational protection against dust or harmful gas exposure increased in China during 2019-2020. However, about one-third of the population still suffer from the occupational exposure, and less than half of them take protection measures. It is necessary to pay more attention to the key populations, such as workers with lower cultural level and rural migrant workers, in occupational health practice.
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Affiliation(s)
- S Cong
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L W Fang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Fan
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - N Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - W J Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Wu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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14
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Fan J, Fang LW, Cong S, Wang N, Wang WJ, Wu J. [Analysis on passive smoking exposure in adults aged 40 years and above in China, 2019-2020]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:95-104. [PMID: 38228530 DOI: 10.3760/cma.j.cn112338-20231031-00260] [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: 01/18/2024]
Abstract
Objective: To understand the passive smoking exposure status in adults aged ≥40 years in China. Methods: Local residents aged ≥40 years were enrolled as study subjects from 125 areas of chronic obstructive pulmonary disease (COPD) surveillance during 2014-2015 and 2019-2020 in 31 provinces of China. A total of 74 559 adults aged ≥40 years were selected through multi-stage stratified cluster sampling for a face to face questionnaire survey and the data from 64 142 study subjects were used for the analysis. The passive smoking exposure rate, the proportions of the adults reporting passive smoking exposure at four types of places and the proportion of the adults living with daily smokers were described by using complicated sampling weighting method, the related factors were analyzed and the results were compared with the data of COPD surveillance during 2014-2015. Results: The passive smoking exposure rate in the adults aged ≥40 years was 46.4% (95%CI: 44.1%-48.8%) in China during 2019-2020, and the rate was higher in women (47.2%, 95%CI:44.8%-49.7%) than in men (44.8%, 95%CI:42.0%-47.6%) and lower in the older people. The office workers had the highest passive smoking exposure rate. The proportions of those reporting passive smoking exposure at homes, workplaces, restaurants, and public transports were 24.3% (95%CI:22.2%-26.4%)、23.3% (95%CI:21.1%-25.5%)、6.6% (95%CI:5.3%-7.9%) and 2.2% (95%CI:1.6%-2.7%). The higher education level the adults had, the less passive smoking exposure at home they reported. The proportions of those living with daily smokers before 14 years old and since 14 years old were 56.4% and 59.2%. Compared with the data during 2014-2015, the overall passive smoking exposure rate in the adults aged ≥40 years during 2019-2020 showed an increase, and the difference was not significant (P=0.356); The passive smoking exposure rate at homes declined, but the exposure rate at workplaces increased, with the biggest increase found in those being engaged in farming, forestry, husbandry, fishery and water conservancy. Multivariate analysis indicated that the factors influencing the passive smoking exposure and the exposure proportions at different places included gender, age, occupation, and education level. Conclusions: The passive smoking exposure rate in China is still high, especially in those being engaged in farming, forestry, husbandry, fishery and water conservancy. It is necessary to strengthen supervision of the enforcement of current smoking bans in public places and promote the legislation of ban smoking in public places. More attention should be paid to smoking ban and protection against passive smoking exposure in women, people with lower education level and people being engaged in in farming, forestry, husbandry, fishery and water conservancy.
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Affiliation(s)
- J Fan
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L W Fang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - S Cong
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - N Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - W J Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Wu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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15
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Ma Q, Chen Z, Fang Y, Wei X, Wang N, Zhou X, Li S, Ying C. Development and validation of survival nomograms for patients with differentiated thyroid cancer with distant metastases: a SEER Program-based study. J Endocrinol Invest 2024; 47:115-129. [PMID: 37294407 DOI: 10.1007/s40618-023-02129-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/31/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND We aimed to develop a nomogram model of overall survival (OS) and cancer-specific survival (CSS) in patients with differentiated thyroid cancer with distant metastases, and to evaluate and validate the nomogram. Also, its prognostic value was compared with that of the 8th edition of the American Joint Committee on Cancer tumor-node-metastasis staging system (AJCC8SS). METHODS Patients with distant metastatic differentiated thyroid cancer (DMDTC) from 2004 to 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) Program to extract the clinical variables used for analysis. A total of 906 patients were divided into a training set (n = 634) and validation set (n = 272). OS and CSS were selected as the primary end point and secondary end point. LASSO regression analysis and multivariate Cox regression analysis were applied to screen variables for constructing OS and CSS nomograms for survival probability at 3, 5, and 10 years. Nomograms were evaluated and validated using the consistency index (C-index), time-dependent receiver operator characteristic (ROC) curves, area under the ROC curve, calibration curves, and decision curve analysis (DCA). The predictive survival of the nomogram was compared with that of AJCC8SS. Kaplan-Meier curves and log-rank tests were used to evaluate the risk-stratification ability OS and CSS nomograms. RESULTS CS and CSS nomograms included six independent predictors: age, marital status, type of surgical procedure, lymphadenectomy, radiotherapy, and T stage. The C-index for the OS nomogram was 0.7474 (95% CI = 0.7199-0.775), and that for the CSS nomogram was 0.7572 (0.7281-0.7862). The nomogram showed good agreement with the "ideal" calibration curve in the training set and validation sets. DCA confirmed that the survival probability predicted by the nomogram had high clinical predictive value. The nomogram could stratify patients more accurately, and showed more robust accuracy and predictive power, than AJCC8SS. CONCLUSIONS We established and validated prognostic nomograms for patients with DMDTC, which had significant clinical value compared with AJCC8SS.
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Affiliation(s)
- Q Ma
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Z Chen
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Y Fang
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - X Wei
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - N Wang
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - X Zhou
- Laboratory of Morphology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - S Li
- Clinical Research Institute, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - C Ying
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
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16
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Wang WJ, Cong S, Fan J, Wang N, Wang Q, Fang LW. [Prevalence of exposure to household cooking oil fumes in women aged 40 years and older in China, 2019]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1899-1910. [PMID: 38129146 DOI: 10.3760/cma.j.cn112338-20230925-00187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To understand the prevalence of exposure to household cooking oil fumes in women ≥40 years old. Methods: The data were from Chronic Obstructive Pulmonary Disease (COPD) Surveillance in China during 2019-2020, which selected permanent residents ≥40 years old from 125 counties (districts) in 31 provinces (autonomous regions and municipalities) across the country by multi-stage stratified cluster random sampling method. The relevant demographic information and cooking oil fumes were collected by face-to-face interview. Our study served 37 164 women with complete cooking practice information as the subject. After complex sample weighting, we analyzed the prevalence of cooking oil fumes exposure in women from cooking time, kitchen characteristics, and Self-reported cooking oil fumes exposure. Results: In 2019, 83.9% (95%CI: 82.1%-85.7%) and 4.5% (95%CI: 3.8%-5.2%) of Chinese women ≥40 years old cooked daily and often, respectively. The average daily cooking duration is 1.8 hours/day, 31.1% of women who cooked daily more than 2.0 hours, and the average cumulative cooking years of cooking women were 32.8 years. 79.3% of cooking women used ventilation devices, and 3.2% cooked in the living room. 8.9% and 7.2% of cooking women in south China and northwest China cooked in the living room, significantly higher than in other regions (P=0.036). The self-reported exposure rate to cooking oil fumes was 81.0% (95%CI: 79.3%-82.7%). Rural, older, lower education level and women engaged in agriculture had a higher proportion of cooking daily, average daily cooking duration, cumulative cooking years, the proportion of cooking in the living room, and rate of self-reported cooking oil fumes exposure, but a lower proportion of using ventilation devices during cooking (P<0.001). Conclusions: The exposure to household cooking oil fumes was serious in Chinese women, and some women still did not take any ventilation measures when cooking. More attention should be paid to the exposure to home cooking oil fumes and its health hazards in women, especially those with lower socioeconomic status.
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Affiliation(s)
- W J Wang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - S Cong
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Fan
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - N Wang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Q Wang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - L W Fang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Ghaeili Ardabili N, Wang J, Wang N. A systematic literature review: building window's influence on indoor circadian health. Renew Sustain Energy Rev 2023; 188:113796. [PMID: 37927424 PMCID: PMC10621328 DOI: 10.1016/j.rser.2023.113796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Light has been shown to have a non-visual impact on the biological aspects of human health, particularly on circadian rhythms. Building windows are a potential means of regulating daylight conditions for circadian health and well-being. As a result of advancements in window and glazing technologies and variations in outdoor solar/sky conditions, understanding daylight's spectral characteristics, which pass through building window systems, is complex. Therefore, a systematic review and summary of the knowledge and evidence available regarding windows' impact on human circadian health is necessary. This study provides an overview of research in this domain, compares approaches and evaluation metrics, and underscores the importance of window parameters' influence on circadian health. Published studies available on various online databases since 2012 were evaluated. The findings of this study define a holistic approach to the melanopic performance of windows and provide an overview of current knowledge regarding the effect of windows on circadian health. Additionally, this work identifies future research directions based on the studies reviewed. This research contributes to the growing body of knowledge on the impact of windows on circadian health, which has implications for the design and construction of buildings in ways that support indoor human health and well-being from the circadian light adequacy perspective.
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Affiliation(s)
- N. Ghaeili Ardabili
- Department of Architectural Engineering, Pennsylvania State University, State College (USA)
| | - J. Wang
- Department of Architectural Engineering, Pennsylvania State University, State College (USA)
| | - N. Wang
- Department of Architectural Engineering, Pennsylvania State University, State College (USA)
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18
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Nilsson K, Klevebro F, Sunde B, Rouvelas I, Lindblad M, Szabo E, Halldestam I, Smedh U, Wallner B, Johansson J, Johnsen G, Aahlin EK, Johannessen HO, Alexandersson von Döbeln G, Hjortland GO, Wang N, Shang Y, Borg D, Quaas A, Bartella I, Bruns C, Schröder W, Nilsson M. Oncological outcomes of standard versus prolonged time to surgery after neoadjuvant chemoradiotherapy for oesophageal cancer in the multicentre, randomised, controlled NeoRes II trial. Ann Oncol 2023; 34:1015-1024. [PMID: 37657554 DOI: 10.1016/j.annonc.2023.08.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/11/2023] [Accepted: 08/14/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND The optimal time to surgery (TTS) after neoadjuvant chemoradiotherapy (nCRT) for oesophageal cancer is unknown and has traditionally been 4-6 weeks in clinical practice. Observational studies have suggested better outcomes, especially in terms of histological response, after prolonged delay of up to 3 months after nCRT. The NeoRes II trial is the first randomised trial to compare standard to prolonged TTS after nCRT for oesophageal cancer. PATIENTS AND METHODS Patients with resectable, locally advanced oesophageal cancer were randomly assigned to standard delay of surgery of 4-6 weeks or prolonged delay of 10-12 weeks after nCRT. The primary endpoint was complete histological response of the primary tumour in patients with adenocarcinoma (AC). Secondary endpoints included histological tumour response, resection margins, overall and progression-free survival in all patients and stratified by histologic type. RESULTS Between February 2015 and March 2019, 249 patients from 10 participating centres in Sweden, Norway and Germany were randomised: 125 to standard and 124 to prolonged TTS. There was no significant difference in complete histological response between AC patients allocated to standard (21%) compared to prolonged (26%) TTS (P = 0.429). Tumour regression, resection margins and number of resected lymph nodes, total and metastatic, did not differ between the allocated interventions. The first quartile overall survival in patients allocated to standard TTS was 26.5 months compared to 14.2 months after prolonged TTS (P = 0.003) and the overall risk of death during follow-up was 35% higher after prolonged delay (hazard ratio 1.35, 95% confidence interval 0.94-1.95, P = 0.107). CONCLUSION Prolonged TTS did not improve histological complete response or other pathological endpoints, while there was a strong trend towards worse survival, suggesting caution in routinely delaying surgery for >6 weeks after nCRT.
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Affiliation(s)
- K Nilsson
- Department of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm; Division of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm
| | - F Klevebro
- Department of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm; Division of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm
| | - B Sunde
- Department of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm; Division of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm
| | - I Rouvelas
- Department of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm; Division of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm
| | - M Lindblad
- Department of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm; Division of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm
| | - E Szabo
- Department of Surgery, Faculty of Medicine and Health, Örebro University Hospital, Örebro
| | | | - U Smedh
- Department of Surgery, Sahlgrenska University Hospital, Gothenburg
| | - B Wallner
- Department of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå
| | - J Johansson
- Department of Surgery, Skåne University Hospital, Lund, Sweden
| | - G Johnsen
- Department of Gastrointestinal Surgery, St. Olav's Hospital, Trondheim University Hospital, Trondheim
| | - E K Aahlin
- Department of GI and HPB Surgery, University Hospital of Northern Norway, Tromsø
| | - H-O Johannessen
- Department of Gastrointestinal Surgery, Oslo University Hospital, Oslo, Norway
| | - G Alexandersson von Döbeln
- Division of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm; Medical Unit of Head, Neck, Lung and Skin Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - G O Hjortland
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - N Wang
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm
| | - Y Shang
- Department of Medicine Huddinge, Karolinska Institutet, Stockholm
| | - D Borg
- Department of Oncology, Skåne University Hospital, Lund, Sweden
| | - A Quaas
- Institute of Pathology, University of Cologne, Cologne
| | - I Bartella
- Department of General, Visceral, Cancer and Transplantation Surgery, University Hospital of Cologne, Cologne, Germany
| | - C Bruns
- Department of General, Visceral, Cancer and Transplantation Surgery, University Hospital of Cologne, Cologne, Germany
| | - W Schröder
- Department of General, Visceral, Cancer and Transplantation Surgery, University Hospital of Cologne, Cologne, Germany
| | - M Nilsson
- Department of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm; Division of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm.
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Ju Y, Wang Y, Luo RN, Wang N, Wang JZ, Lin LJ, Song QW, Liu AL. Evaluation of renal function in chronic kidney disease (CKD) by mDIXON-Quant and Amide Proton Transfer weighted (APTw) imaging. Magn Reson Imaging 2023; 103:102-108. [PMID: 37451519 DOI: 10.1016/j.mri.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/08/2023] [Accepted: 07/09/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Chronic kidney disease (CKD) is a long-term condition that affects >10% of the adult population worldwide. Noninvasive assessment of renal function has important clinical significance for disease diagnosis and prognosis evaluation. OBJECTIVE To explore the value of mDIXON-Quant combined with amide proton transfer weighted (APTw) imaging for accessing renal function in chronic kidney disease (CKD). MATERIALS AND METHODS Twenty-two healthy volunteers (HVs) and 30 CKD patients were included in this study, and the CKD patients were divided into the mild CKD (mCKD) group (14 cases) and moderate-to-severe CKD (msCKD) group (16 cases) according to glomerular filtration rate (eGFR). The cortex APT (cAPT), medulla APT (mAPT), cortex R2⁎ (cR2⁎), medulla R2⁎ (mR2⁎), cortex FF (cFF) and medulla FF (mFF) values of the right renal were independently measured by two radiologists. Intra-group correlation coefficient (ICC) test was used to test the inter-observer consistency. The analysis of variance (ANOVA) was used to compare the difference among three groups. Mann-Whitney U test was used to analyze the differences of R2⁎, FF and APT values among the patient and HV groups. Area under the receiver operating characteristic (ROC) curve (AUC) was used to analyze the diagnostic efficiency. The corresponding threshold, sensitivity, and specificity were obtained according to the maximum approximate index. The combined diagnostic efficacy of R2⁎, FF, and APT values was analyzed by binary Logistic regression, and the AUC of combined diagnosis was compared with the AUC of the single parameter by the Delong test. RESULTS The cAPT value of the HV, mCKD and msCKD groups increased gradually. The mAPT value and cR2⁎ values of the mCKD and msCKD groups were higher than those of the HV group, while the mFF value of the mCKD group was lower than HV group (all P < 0.05). The cAPT and mAPT values showed good diagnostic efficacy in evaluating different degrees of renal damage, while cR2⁎ and mFF values showed moderate diagnostic efficacy. When combining the APT, R2⁎, and FF values, the diagnostic efficiency was significantly improved. CONCLUSION mDIXON-Quant combined APTw imaging can be used for improved diagnosis of CKD.
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Affiliation(s)
- Y Ju
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, PR China
| | - Y Wang
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, PR China
| | - R N Luo
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, PR China; Department of Nephrology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, PR China
| | - N Wang
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, PR China
| | - J Z Wang
- Clinical & Technical Support, Philips Healthcare, 100016 Beijing, PR China
| | - L J Lin
- Clinical & Technical Support, Philips Healthcare, 100016 Beijing, PR China
| | - Q W Song
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, PR China
| | - A L Liu
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, PR China; Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian 116011, Liaoning, PR China.
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20
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Lu AT, Fei Z, Haghani A, Robeck TR, Zoller JA, Li CZ, Lowe R, Yan Q, Zhang J, Vu H, Ablaeva J, Acosta-Rodriguez VA, Adams DM, Almunia J, Aloysius A, Ardehali R, Arneson A, Baker CS, Banks G, Belov K, Bennett NC, Black P, Blumstein DT, Bors EK, Breeze CE, Brooke RT, Brown JL, Carter GG, Caulton A, Cavin JM, Chakrabarti L, Chatzistamou I, Chen H, Cheng K, Chiavellini P, Choi OW, Clarke SM, Cooper LN, Cossette ML, Day J, DeYoung J, DiRocco S, Dold C, Ehmke EE, Emmons CK, Emmrich S, Erbay E, Erlacher-Reid C, Faulkes CG, Ferguson SH, Finno CJ, Flower JE, Gaillard JM, Garde E, Gerber L, Gladyshev VN, Gorbunova V, Goya RG, Grant MJ, Green CB, Hales EN, Hanson MB, Hart DW, Haulena M, Herrick K, Hogan AN, Hogg CJ, Hore TA, Huang T, Izpisua Belmonte JC, Jasinska AJ, Jones G, Jourdain E, Kashpur O, Katcher H, Katsumata E, Kaza V, Kiaris H, Kobor MS, Kordowitzki P, Koski WR, Krützen M, Kwon SB, Larison B, Lee SG, Lehmann M, Lemaitre JF, Levine AJ, Li C, Li X, Lim AR, Lin DTS, Lindemann DM, Little TJ, Macoretta N, Maddox D, Matkin CO, Mattison JA, McClure M, Mergl J, Meudt JJ, Montano GA, Mozhui K, Munshi-South J, Naderi A, Nagy M, Narayan P, Nathanielsz PW, Nguyen NB, Niehrs C, O'Brien JK, O'Tierney Ginn P, Odom DT, Ophir AG, Osborn S, Ostrander EA, Parsons KM, Paul KC, Pellegrini M, Peters KJ, Pedersen AB, Petersen JL, Pietersen DW, Pinho GM, Plassais J, Poganik JR, Prado NA, Reddy P, Rey B, Ritz BR, Robbins J, Rodriguez M, Russell J, Rydkina E, Sailer LL, Salmon AB, Sanghavi A, Schachtschneider KM, Schmitt D, Schmitt T, Schomacher L, Schook LB, Sears KE, Seifert AW, Seluanov A, Shafer ABA, Shanmuganayagam D, Shindyapina AV, Simmons M, Singh K, Sinha I, Slone J, Snell RG, Soltanmaohammadi E, Spangler ML, Spriggs MC, Staggs L, Stedman N, Steinman KJ, Stewart DT, Sugrue VJ, Szladovits B, Takahashi JS, Takasugi M, Teeling EC, Thompson MJ, Van Bonn B, Vernes SC, Villar D, Vinters HV, Wallingford MC, Wang N, Wayne RK, Wilkinson GS, Williams CK, Williams RW, Yang XW, Yao M, Young BG, Zhang B, Zhang Z, Zhao P, Zhao Y, Zhou W, Zimmermann J, Ernst J, Raj K, Horvath S. Author Correction: Universal DNA methylation age across mammalian tissues. Nat Aging 2023; 3:1462. [PMID: 37674040 PMCID: PMC10645586 DOI: 10.1038/s43587-023-00499-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Affiliation(s)
- A T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
| | - Z Fei
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Statistics, University of California, Riverside, Riverside, CA, USA
| | - A Haghani
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
| | - T R Robeck
- Zoological SeaWorld Parks and Entertainment, Orlando, FL, USA
| | - J A Zoller
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Z Li
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - R Lowe
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - Q Yan
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
| | - J Zhang
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - H Vu
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - J Ablaeva
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - V A Acosta-Rodriguez
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - D M Adams
- Department of Biology, University of Maryland, College Park, MD, USA
| | - J Almunia
- Loro Parque Fundacion, Puerto de la Cruz, Spain
| | - A Aloysius
- Department of Biology, University of Kentucky, Lexington, KY, USA
| | - R Ardehali
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - A Arneson
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - C S Baker
- Marine Mammal Institute, Oregon State University, Newport, OR, USA
| | - G Banks
- School of Science and Technology, Clifton Campus, Nottingham Trent University, Nottingham, UK
| | - K Belov
- School of Life and Environmental Sciences, the University of Sydney, Sydney, New South Wales, Australia
| | - N C Bennett
- Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa
| | - P Black
- Busch Gardens Tampa, Tampa, FL, USA
| | - D T Blumstein
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA
- Rocky Mountain Biological Laboratory, Crested Butte, CO, USA
| | - E K Bors
- Marine Mammal Institute, Oregon State University, Newport, OR, USA
| | - C E Breeze
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - R T Brooke
- Epigenetic Clock Development Foundation, Los Angeles, CA, USA
| | - J L Brown
- Center for Species Survival, Smithsonian Conservation Biology Institute, Front Royal, VA, USA
| | - G G Carter
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA
| | - A Caulton
- AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - J M Cavin
- Gulf World, Dolphin Company, Panama City Beach, FL, USA
| | - L Chakrabarti
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
| | - I Chatzistamou
- Department of Pathology, Microbiology and Immunology, School of Medicine, University of South Carolina, Columbia, SC, USA
| | - H Chen
- Department of Pharmacology, Addiction Science and Toxicology, the University of Tennessee Health Science Center, Memphis, TN, USA
| | - K Cheng
- Medical Informatics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - P Chiavellini
- Biochemistry Research Institute of La Plata, Histology and Pathology, School of Medicine, University of La Plata, La Plata, Argentina
| | - O W Choi
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - S M Clarke
- AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand
| | - L N Cooper
- Department of Anatomy and Neurobiology, Northeast Ohio Medical University, Rootstown, OH, USA
| | - M L Cossette
- Department of Environmental and Life Sciences, Trent University, Peterborough, Ontario, Canada
| | - J Day
- Taronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, New South Wales, Australia
| | - J DeYoung
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - S DiRocco
- SeaWorld of Florida, Orlando, FL, USA
| | - C Dold
- Zoological Operations, SeaWorld Parks and Entertainment, Orlando, FL, USA
| | | | - C K Emmons
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - S Emmrich
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - E Erbay
- Altos Labs, San Francisco, CA, USA
| | - C Erlacher-Reid
- SeaWorld of Florida, Orlando, FL, USA
- SeaWorld Orlando, Orlando, FL, USA
| | - C G Faulkes
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - S H Ferguson
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - C J Finno
- Department of Population Health and Reproduction, University of California, Davis School of Veterinary Medicine, Davis, CA, USA
| | | | - J M Gaillard
- Universite de Lyon, Universite Lyon 1, CNRS, Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne, France
| | - E Garde
- Greenland Institute of Natural Resources, Nuuk, Greenland
| | - L Gerber
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - V N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - V Gorbunova
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - R G Goya
- Biochemistry Research Institute of La Plata, Histology and Pathology, School of Medicine, University of La Plata, La Plata, Argentina
| | - M J Grant
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, the University of Auckland, Auckland, New Zealand
| | - C B Green
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - E N Hales
- Department of Population Health and Reproduction, University of California, Davis School of Veterinary Medicine, Davis, CA, USA
| | - M B Hanson
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - D W Hart
- Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa
| | - M Haulena
- Vancouver Aquarium, Vancouver, British Columbia, Canada
| | - K Herrick
- SeaWorld of California, San Diego, CA, USA
| | - A N Hogan
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - C J Hogg
- School of Life and Environmental Sciences, the University of Sydney, Sydney, New South Wales, Australia
| | - T A Hore
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - T Huang
- Division of Human Genetics, Department of Pediatrics, University at Buffalo, Buffalo, NY, USA
- Division of Genetics and Metabolism, Oishei Children's Hospital, Buffalo, NY, USA
| | | | - A J Jasinska
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - G Jones
- School of Biological Sciences, University of Bristol, Bristol, UK
| | | | - O Kashpur
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA, USA
| | - H Katcher
- Yuvan Research, Mountain View, CA, USA
| | | | - V Kaza
- Peromyscus Genetic Stock Center, University of South Carolina, Columbia, SC, USA
| | - H Kiaris
- Peromyscus Genetic Stock Center, University of South Carolina, Columbia, SC, USA
- Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - M S Kobor
- Edwin S.H. Leong Healthy Aging Program, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - P Kordowitzki
- Institute of Animal Reproduction and Food Research of the Polish Academy of Sciences, Olsztyn, Poland
- Institute for Veterinary Medicine, Nicolaus Copernicus University, Torun, Poland
| | - W R Koski
- LGL Limited, King City, Ontario, Canada
| | - M Krützen
- Evolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
| | - S B Kwon
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - B Larison
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
- Center for Tropical Research, Institute for the Environment and Sustainability, UCLA, Los Angeles, CA, USA
| | - S G Lee
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - M Lehmann
- Biochemistry Research Institute of La Plata, Histology and Pathology, School of Medicine, University of La Plata, La Plata, Argentina
| | - J F Lemaitre
- Universite de Lyon, Universite Lyon 1, CNRS, Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne, France
| | - A J Levine
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Li
- Texas Pregnancy and Life-course Health Center, Southwest National Primate Research Center, San Antonio, TX, USA
- Department of Animal Science, College of Agriculture and Natural Resources, Laramie, WY, USA
| | - X Li
- Technology Center for Genomics and Bioinformatics, Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - A R Lim
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - D T S Lin
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - T J Little
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - N Macoretta
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - D Maddox
- White Oak Conservation, Yulee, FL, USA
| | - C O Matkin
- North Gulf Oceanic Society, Homer, AK, USA
| | - J A Mattison
- Translational Gerontology Branch, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | | | - J Mergl
- Marineland of Canada, Niagara Falls, Ontario, Canada
| | - J J Meudt
- Biomedical and Genomic Research Group, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - G A Montano
- Zoological Operations, SeaWorld Parks and Entertainment, Orlando, FL, USA
| | - K Mozhui
- Department of Preventive Medicine, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA
| | - J Munshi-South
- Louis Calder Center-Biological Field Station, Department of Biological Sciences, Fordham University, Armonk, NY, USA
| | - A Naderi
- Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - M Nagy
- Museum fur Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany
| | - P Narayan
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, the University of Auckland, Auckland, New Zealand
| | - P W Nathanielsz
- Texas Pregnancy and Life-course Health Center, Southwest National Primate Research Center, San Antonio, TX, USA
- Department of Animal Science, College of Agriculture and Natural Resources, Laramie, WY, USA
| | - N B Nguyen
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Niehrs
- Institute of Molecular Biology, Mainz, Germany
- Division of Molecular Embryology, DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - J K O'Brien
- Taronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, New South Wales, Australia
| | - P O'Tierney Ginn
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA, USA
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Boston, MA, USA
| | - D T Odom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Division of Regulatory Genomics and Cancer Evolution, Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | - A G Ophir
- Department of Psychology, Cornell University, Ithaca, NY, USA
| | - S Osborn
- SeaWorld of Texas, San Antonio, TX, USA
| | - E A Ostrander
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - K M Parsons
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - K C Paul
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - M Pellegrini
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - K J Peters
- Evolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - A B Pedersen
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - J L Petersen
- Department of Animal Science, University of Nebraska, Lincoln, NE, USA
| | - D W Pietersen
- Mammal Research Institute, Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa
| | - G M Pinho
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
| | - J Plassais
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - J R Poganik
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Prado
- Department of Biology, College of Arts and Science, Adelphi University, Garden City, NY, USA
| | - P Reddy
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - B Rey
- Universite de Lyon, Universite Lyon 1, CNRS, Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne, France
| | - B R Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- Department of Environmental Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - J Robbins
- Center for Coastal Studies, Provincetown, MA, USA
| | | | - J Russell
- SeaWorld of California, San Diego, CA, USA
| | - E Rydkina
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - L L Sailer
- Department of Psychology, Cornell University, Ithaca, NY, USA
| | - A B Salmon
- The Sam and Ann Barshop Institute for Longevity and Aging Studies and Department of Molecular Medicine, UT Health San Antonio and the Geriatric Research Education and Clinical Center, South Texas Veterans Healthcare System, San Antonio, TX, USA
| | | | - K M Schachtschneider
- Department of Radiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, USA
- National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - D Schmitt
- College of Agriculture, Missouri State University, Springfield, MO, USA
| | - T Schmitt
- SeaWorld of California, San Diego, CA, USA
| | | | - L B Schook
- Department of Radiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - K E Sears
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - A W Seifert
- Department of Biology, University of Kentucky, Lexington, KY, USA
| | - A Seluanov
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - A B A Shafer
- Department of Forensic Science, Environmental and Life Sciences, Trent University, Peterborough, Ontario, Canada
| | - D Shanmuganayagam
- Biomedical and Genomic Research Group, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, USA
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - A V Shindyapina
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - K Singh
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM'S NMIMS University, Mumbai, India
| | - I Sinha
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
| | - J Slone
- Division of Human Genetics, Department of Pediatrics, University at Buffalo, Buffalo, NY, USA
| | - R G Snell
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, the University of Auckland, Auckland, New Zealand
| | - E Soltanmaohammadi
- Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - M L Spangler
- Department of Animal Science, University of Nebraska, Lincoln, NE, USA
| | | | - L Staggs
- SeaWorld of Florida, Orlando, FL, USA
| | | | - K J Steinman
- Species Preservation Laboratory, SeaWorld San Diego, San Diego, CA, USA
| | - D T Stewart
- Biology Department, Acadia University, Wolfville, Nova Scotia, Canada
| | - V J Sugrue
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - B Szladovits
- Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, UK
| | - J S Takahashi
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Howard Hughes Medical Institute, Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - M Takasugi
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - E C Teeling
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - M J Thompson
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - B Van Bonn
- John G. Shedd Aquarium, Chicago, IL, USA
| | - S C Vernes
- School of Biology, the University of St Andrews, Fife, UK
- Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - D Villar
- Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - H V Vinters
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - M C Wallingford
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA, USA
- Division of Obstetrics and Gynecology, Tufts University School of Medicine, Boston, MA, USA
| | - N Wang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - R K Wayne
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
| | - G S Wilkinson
- Department of Biology, University of Maryland, College Park, MD, USA
| | - C K Williams
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - R W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA
| | - X W Yang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - M Yao
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - B G Young
- Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada
| | - B Zhang
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Z Zhang
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - P Zhao
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, USA
| | - Y Zhao
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - W Zhou
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - J Zimmermann
- Department of Mathematics and Technology, University of Applied Sciences Koblenz, Koblenz, Germany
| | - J Ernst
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - K Raj
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - S Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA.
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
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Tian J, Wang N, Wang C, Wu DP, Wang CH, Ding XJ, Wang YK. [Hsa_circ_0000392 affects the radiation sensitivity of cervical cancer by targeting the miR-145-5p/CRKL/MAPK pathway]. Zhonghua Zhong Liu Za Zhi 2023; 45:879-891. [PMID: 37875424 DOI: 10.3760/cma.j.cn112152-20201217-01075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
Objective: To investigate the effect of hsa_circ_0000392 (circ_0000392) on the radiosensitivity of cervical cancer cells and explore its potential mechanism. Methods: Cervical cancer tissues and adjacent normal tissues of 42 patients with cervical cancer who were confirmed pathologically for the first time in Huaihe Hospital of Henan University from 2016 to 2019 were collected. According to the patients' response to radiotherapy, the cancer tissues were divided into radio-sensitive tissues and radio-resistant tissues. The expressions of circ_0000392, miR-145-5p, and CRKL in radiation-sensitive, radiation-resistant cervical cancer tissues and Hela, SiHa cells were detected by reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR) and western blot. SiRNA circ_0000392, miR-145-5p mimic, miR-145-5p inhibitor, pcDNA 3.1-CRKL and its negative control were transfected into HeLa and Siha cells, respectively. After radiation induction, the survival fraction of cells was detected by clone formation assay, apoptosis was detected by flow cytometry, and the expressions of apoptosis-related proteins Bax and Bcl-2 and ERK pathway protein p-ERK1/2 and ERK1/2 were detected by western blot. The targeting relationship between circ_0000392, miR-145-5p and CRKL was verified by dual luciferase reporter gene assay. The effect of circ_0000392 on radiotherapy sensitivity of cervical cancer in vivo was observed in the tumor formation experiment in nude mice. Results: circ_0000392 and CRKL were upregulated in radiation-resistant tissues and cancer cells of cervical cancer, while miR-145-5p was downregulated. The clone formation numbers of Hela and SiHa cells in si-circ_0000392#1+ 6 Gy group were (78.67±10.97) and (71.00±9.54), respectively, which were lower than those in si-Ctrl+ 6 Gy group [(176.00±22.27) and (158.33±17.56), respectively]. The apoptosis rates were (41.55±3.40)% and (31.41±3.29)%, respectively, which were higher than those in si-Ctrl+ 6 Gy group [(15.91±1.37)% and (13.70±1.89)%, P<0.05]. The protein expression of Bax was higher than that of si-Ctrl+ 6 Gy group, and the protein expressions of Bcl2 was lower than those of si-Ctrl+ 6 Gy group. The clone formation numbers of Hela and SiHa cells in si-circ_0000392#1+ miR-145-5p inhibitor+ 6 Gy group were (171.33±25.01) and (137.00±21.66), higher than those in si-circ_0000392#1+ inhibitor NC+ 6 Gy group [(84.67±17.79) vs (71.00±11.00), P<0.05]. The apoptosis rates were (17.41±2.58) % and (15.96±1.25) %, lower than those of si-circ_0000392 #1+ inhibitor NC+ 6 Gy [(40.29±2.92)% and (30.82±2.34)%, respectively, P<0.05]. The expression of Bax protein was lower than that of si-circ_0000392#1+ inhibitor NC+ 6 Gy group, and the expressions of Bcl2 protein were higher than those of si-circ_0000392#1+ inhibitor NC+ 6 Gy group. Circ_0000392 can target miR-145-5p, and CRKL is the downstream target gene of miR-145-5p. The clone formation numbers of Hela and SiHa cells in miR-145-5p mimic+ 6 Gy group were (74.33±10.02) and (66.00±12.17), respectively, which were lower than those of mimic NC+ 6 Gy group [(197.67±17.21) vs (157.67±11.59), respectively, P<0.05]. The apoptosis rates were (45.58±2.16)% and (32.10±3.55)%, higher than those of mimic NC+ 6 Gy group [(15.85±2.45)% and (13.99±1.69)%, respectively, P<0.05]. The expression of Bax protein was higher than that of the mimic NC+ 6 Gy mimic group, and the expression of Bcl2 protein was lower than that of the mimic NC+ 6 Gy group. The clone formation numbers of Hela and SiHa cells in miR-145-5p mimic+ pcDNA-CRKL+ 6 Gy group were (158.00±15.88) and (122.33±13.65), respectively, which were higher than those of miR-145-5p mimic+ pcDNA+ 6 Gy group [(71.33±8.02) vs (65.67±12.22), P<0.05]. The apoptosis rates were (19.50±3.45)% and (17.04±0.94)%, respectively, which were lower than those of miR-145-5p mimic+ pcDNA+ 6 Gy group [(44.33±2.36)% and (32.05±2.76)%, respectively, P<0.05]. The expression of Bax protein was lower than that of miR-145-5p mimic+ pcDNA group+ 6 Gy group, and the expression of Bcl2 protein was higher than that of miR-145-5p mimic+ pcDNA+ 6 Gy group. Sh-circ_0000392 group had smaller tumor volume and decreased tumor weight (P<0.05). The relative mRNA expression levels of circ_0000392, miR-145-5p and CRKL and the relative protein expression levels of CRKL, Bcl-2 and p-ERK1/2 were decreased, while the relative expression level of Bax protein was increased (P<0.05). Conclusion: Circ_0000392 could enhance the radiosensitivity of cervical cancer cells, and its mechanism may be related to the regulation of CRKL/ERK signaling pathway by targeting miR-145-5p, which provides a new reference for enhancing the radiosensitivity of cervical cancer cells.
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Affiliation(s)
- J Tian
- Department of Gynecology, Huaihe Hospital of Henan University, Kaifeng 475001, China
| | - N Wang
- Department of Gynecology, Huaihe Hospital of Henan University, Kaifeng 475001, China
| | - C Wang
- Department of Gynecology, Huaihe Hospital of Henan University, Kaifeng 475001, China
| | - D P Wu
- Department of Radiotherapy, Huaihe Hospital of Henan University, Kaifeng 475001, China
| | - C H Wang
- Department of Gynecology, Huaihe Hospital of Henan University, Kaifeng 475001, China
| | - X J Ding
- Department of Gynecology, Huaihe Hospital of Henan University, Kaifeng 475001, China
| | - Y K Wang
- Department of Gynecology, Huaihe Hospital of Henan University, Kaifeng 475001, China
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Zhuang XY, Gao L, Qi BX, Wang N, Zhang JY, Gao H, Shi WY, Li SX. [Analysis of factors affecting the quality of donor corneal endothelial cells]. Zhonghua Yan Ke Za Zhi 2023; 59:814-823. [PMID: 37805415 DOI: 10.3760/cma.j.cn112142-20221108-00578] [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: 10/09/2023]
Abstract
Objective: To explore the factors influencing the quality of donor corneal endothelium. Methods: A retrospective case series study was conducted. Data from 568 donor corneas obtained from the Shandong Eye Bank between July 1, 2020, and June 30, 2021, were collected for analysis. The corneal endothelium of the donor corneas was observed using corneal endothelial microscopy to assess corneal endothelial cell density (ECD), coefficient of variation, and hexagonal cell ratio (HEX). Relevant factors of corneal donors were collected, including gender, age, cause of death, season of death, time from death to corneal retrieval, and methods of corpse preservation, to investigate their impact on the quality of donor corneal endothelium. The age factor was divided into five age groups: 0-20 years, 21-40 years, 41-60 years, 61-80 years, and >80 years. The time of corneal retrieval was divided into three periods based on the time elapsed since the donor's death: <6 hours, 6-12 hours, and >12 hours. The relationship between these factors and corneal endothelial conditions was analyzed. Results: The 568 donor corneas were obtained from 288 donors, including 225 males (78.13%) and 63 females (21.87%). The mean age was 51.77±18.48 years. The causes of death among donors were as follows: cardiovascular diseases 54.58% (275 individuals), cancer 17.96% (74 individuals), organ failure 14.26% (49 individuals), and accidents 13.20% (64 individuals). The mean time of corneal retrieval after donor death was 140 (76, 400) minutes (ranging from 30 minutes to 45 hours). Among the 145 corneas (25.53%) that had their initial corneal endothelial microscopy examination, the images were not clear, and after thorough rewarming, 106 corneas (18.7%) still had unclear images and could not be analyzed. Among the 462 corneas (81.3%) with clear images, the ECD was (2 602.23±318.40) cells/mm², the coefficient of variation was 36.61%±4.81%, and the HEX was 52.73%±7.15%. The ECD of corneas from older donors was lower compared to younger donors, and the differences between age groups were statistically significant (P<0.001). Corneas from donors who died due to accidents had a higher ECD [(2 829.88±313.90) cells/mm²] compared to those who died from cancer, cardiovascular diseases, and organ failure, and the differences were statistically significant (P<0.001). The ECD was highest when corneas were retrieved within 6 hours after death, and the difference was statistically significant (P<0.001). Older donors had higher coefficients of variation but lower HEX values (both P<0.05). Corneas retrieved after a longer time from death had higher coefficients of variation, and the difference was statistically significant (P<0.05), but there was no statistically significant difference in HEX (P>0.05). Organ failure, cryopreservation, and corneal retrieval time >12 hours were risk factors for unclear corneal endothelial imaging (all P<0.001). Among the 136 corneal endothelial images (23.94%), circular, oval, or band-shaped dark areas were observed, and corneas with dark areas had lower ECD (P<0.05). The longer the time elapsed from death to corneal retrieval, the more dark areas were observed (P<0.001). The presence of dark areas did not affect the coefficient of variation and HEX (P>0.05). Conclusion: Advanced donor age, death due to chronic diseases, longer time elapsed from death to corneal retrieval, and cryopreservation of the body lead to a decrease in the quality of donor corneal endothelium.
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Affiliation(s)
- X Y Zhuang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - L Gao
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - B X Qi
- Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao 266071, China
| | - N Wang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - J Y Zhang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - H Gao
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - W Y Shi
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
| | - S X Li
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Jinan 250021, China
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Yang XY, Wang N, Wei CC, He FD, Qi JL, Wang BH. [Study on behavioral risk factors and lagging effect analysis with liver cancer mortality in rural critical areas of 4 provinces of China from 2009 to 2019]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1583-1590. [PMID: 37875445 DOI: 10.3760/cma.j.cn112338-20230224-00107] [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: 10/26/2023]
Abstract
Objective: To analyze the trend of liver cancer mortality in rural key areas of Jiangsu Province, Anhui Province, Shandong Province, and Henan Province (4 provinces) from 2009 to 2019 and to explore the influence of behavioral risk factors on liver cancer mortality and its lagging effect, and provide a reference for the prevention and treatment of liver cancer in China. Methods: Based on the 2009-2019 National Cause of Death Surveillance Database of the Chinese Center for Disease Control and Prevention, and the survey data of tumor and risk factor behavior of residents in key areas of 4 provinces, Joinpoint 4.2 software was used to calculate the average annual percentage change (AAPC) for assessing the temporal trend of standardized mortality of liver cancer; Chi-square test and trend Chi-square test were used to analyze the regional distribution difference and temporal change trend of behavioral habit factors. Stata 16 was used to establish a panel model to analyze the correlation and lagging effect of behavioral risk factors with liver cancer. Results: The standardized mortality rate of liver cancer in Jinhu County, Sheyang County, Lingbi County, Shou County, Mengcheng County, Wenshang County, Juye County, Luoshan County, Shenqiu County, and Xiping County showed a downward trend (AAPC<0, P<0.05) from 2009 to 2019. The consumption frequency of pickles/salted fish, red meat, and aquatic products showed a downward trend. The consumption frequency of healthy foods such as fresh vegetables, fresh fruits, and dairy products in all counties and districts showed an upward trend, and the consumption frequency of fried foods, kimchi, smoked foods, moldy foods, coffee, and soy products remained at a low level (P<0.05); but the consumption frequency of soy products and dairy products was still <20.00%. Fried food, pickles/salted fish, current smoking rate, alcohol consumption rate, and unvaccinated hepatitis B vaccine rate were positively correlated with liver cancer death, and there was a lag effect, and the lag period was 4, 1, 6, 5, 4 years respectively. Conclusions: From 2009 to 2019, the mortality rate of liver cancer in rural key areas of 4 provinces shows a downward trend. There is a correlation and lagging effect between behavioral risk factors such as fried food, smoking, and alcohol consumption and liver cancer death.
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Affiliation(s)
- X Y Yang
- Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - N Wang
- Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C C Wei
- Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - F D He
- Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J L Qi
- Division of Vital Registration and Death Cause Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - B H Wang
- Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Yang H, Wu Y, Sui J, Wang N, Lei Z, He J. Single Cell Analysis of Macrophage Heterogeneity and NK-Cell Exhaustion in Lewis Lung Cancer Xenograft Tumor. Int J Radiat Oncol Biol Phys 2023; 117:e271. [PMID: 37785026 DOI: 10.1016/j.ijrobp.2023.06.1238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Stereotactic body radiation therapy (SBRT) has attracted much attention because of its ability to stimulate anti-tumor immune response. However, the mechanism of SBRT reprogramming the tumor microenvironment remains to be elucidated. MATERIALS/METHODS Using Lewis lung carcinoma (LLC) xenograft mice model treated with SBRT (8Gy x 3F), multiplex assay was performed to measure serum chemokine levels, and single-cell RNA sequencing was performed to assess tumor microenvironment. The differential expression genes of each cell subcluster were identified by the "Find-All markers" function with default parameters provided by Seurat. Intercellular communication analysis was explored by using CellPhone DB package. RESULTS The majority of serum chemokines involved macrophage recruitment, including CCL3, CCL4, CCL8, and CCL20, were highly secreted at 7 days after SBRT. Single-cell RNA sequencing of 108,741 cells were contained from 6 mouse Lewis lung carcinoma samples (n = 3 tumors for SBRT, n = 3 tumors pooled for SHAM). Besides Lewis cancer cells, myeloid cells were 57.61% ,70.82% in Sham-irradiation (SHAM) and SBRT while NT and T cells were 20.50%, 7.81% in SHAM and SBRT, respectively. When compared with SHAM group, upregulation of Ccl3, Ccl4, Ccl8 chemokine genes were observed in cancer cells of SBRT group. Differential expression genes analysis showed high expression level of Ccl8 (Log2FC 2.54, p<0.01) in cluster of Mrc1+macrophage. The SBRT group consisted of more Ccl8+Mrc1+macrophages (proportion 36.28% for SBRT, 27.44% for SHAM) and exhausted NK cells (proportion 22.56% for SBRT, 13.70% for SHAM). More importantly, intercellular communication analysis revealed a potential communication network between Ccl8+Mrc1+macrophages and exhausted NK cells. CONCLUSION Our results provide a potential therapeutic strategy by disrupting Ccl8+ Mrc1+macrophages and NK-cell interaction to facilitate the stimulation of the anti-tumor immune response by SBRT.
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Affiliation(s)
- H Yang
- College of Bioengineering, Chongqing University, Chongqing, China, Chongqing, China
| | - Y Wu
- Oncology Radiotherapy Center of Chongqing University Cancer Hospital, Chongqing, China
| | - J Sui
- College of Medicine, Chongqing University, Chongqing, China
| | - N Wang
- Chongqing university, Chongqing, China
| | - Z Lei
- College of Medicine, Chongqing University, Chongqing, China, Chongqing, China
| | - J He
- College of Bioengineering, Chongqing University, Chongqing, China, Chongqing, China
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Cao J, Qi X, Wang N, Chen Y, Xie B, Ma C, Chen Z, Xiong W. Ceruloplasmin regulating fibrosis in orbital fibroblasts provides a novel therapeutic target for Graves' orbitopathy. J Endocrinol Invest 2023; 46:2005-2016. [PMID: 36849849 DOI: 10.1007/s40618-023-02033-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/03/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE In diagnosing the pathogenesis of Graves' orbitopathy (GO), there is a growing interest in fibrosis generated by orbital fibroblasts (OFs); nevertheless, the involvement of ceruloplasmin (CP) in OFs remains unknown. METHODS Differentially expressed genes (DEGs) were identified through bioinformatic analysis. OFs were isolated from orbital tissue and identified with immunofluorescent staining. The levels of DEGs were validated in GO tissue samples and TGF-β-challenged OFs, and CP was selected for the following laboratory investigations. CP overexpression or knockdown was achieved, and cell viability and fibrosis-associated proteins were investigated to assess the cell phenotype and function. Signaling pathways were subsequently investigated to explore the mechanism of CP function in OFs. RESULTS CP and cathepsin C (CTSC) are two overlapped DEGs in GSE58331 and GSE105149. OFs were isolated and identified through fibrotic biomarkers. CP and CTSC were downregulated in GO tissue samples and TGF-β-challenged OFs. CP overexpression or knockdown was achieved in OFs by transducing a CP overexpression vector or small interfering RNA against CP (si1-CP or si2-CP) and verified using a qRT-PCR. CP overexpression inhibited cell viability and reduced the levels of α-SMA, vimentin, fibronectin, and collagen I, whereas CP knockdown exerted opposite effects on OFs. CP overexpression inhibited the phosphorylation of Smad3, Erk1/2, p38, JNK, and AKT; conversely, CP knockdown exerted opposite effects on the phosphorylation of factors mentioned above. CONCLUSION CP was downregulated in GO and suppressed the expression of fibrosis-associated proteins in both GO and normal OFs. CP might serve as a promising therapeutic agent in the treatment regimens for GO.
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Affiliation(s)
- J Cao
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - X Qi
- Department of Ophthalmology, Second Xiangya Hospital, Central South University, Changsha, China
| | - N Wang
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Chen
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - B Xie
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - C Ma
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Z Chen
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - W Xiong
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China.
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Fu X, Du B, Chen PA, Shama A, Chen B, Zhang X, Han X, Xu Y, Gong Y, Zeng X, Sun C, Yang W, Xing X, Li Z, Fu Y, Ke D, Wang N, Xia Y, Sun Y, Chen Q. Exploring the impact of gut microbial metabolites on inactivated SARS-CoV-2 vaccine efficacy during pregnancy and mother-to-infant antibody transfer. Gut 2023:gutjnl-2023-330497. [PMID: 37739779 DOI: 10.1136/gutjnl-2023-330497] [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: 06/15/2023] [Accepted: 08/30/2023] [Indexed: 09/24/2023]
Affiliation(s)
- Xi Fu
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Bingqian Du
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Pei-An Chen
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Aga Shama
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Baolan Chen
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Xi Zhang
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Xue Han
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Yingxia Xu
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Yajie Gong
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Xia Zeng
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Chongzhen Sun
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Wenhan Yang
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Xiaohui Xing
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Zhongjun Li
- Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Yanyan Fu
- Guangzhou Baiyun District Maternal and Child Health Hospital, Guangzhou, China
| | - Dongyun Ke
- Guangzhou Baiyun District Maternal and Child Health Hospital, Guangzhou, China
| | - Niping Wang
- Guangzhou Baiyun District Maternal and Child Health Hospital, Guangzhou, China
| | - Yun Xia
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Yu Sun
- Guangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, Guangdong, China
| | - Qingsong Chen
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Schoold of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
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Wang N, Zhao QN, Yuan Q, Zhu BL, Wu W. [Prognostic significance and immune cell infiltration analysis of differentially expressed genes in malignant pleural mesothelioma]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:641-647. [PMID: 37805421 DOI: 10.3760/cma.j.cn121094-20220704-00352] [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: 10/09/2023]
Abstract
Objective: To explore and analyze differential expressed genes in malignant pleural mesothelioma (MPM) by bioinformatics method, and to study their prognostic value in MPM and their potential role in immunotherapy. Methods: In January 2022, the dataset GSE51024 was downloaded from the GEO database, and MPM (55 cases) and normal tissue (41 cases) samples were obtained. Using R software and HMDD and miRNet database, MPM-related differential genes were screened and co-expressed genes were identified. Co-expressed genes were enriched and functionally annotated, and protein-protein interaction (PPI) networks were constructed and key genes were identified using the STRING database and Cytoscape software. TRRUST and GEPIA databases were used to predict transcription factors of key genes and to analyze prognosis and survival. The correlation between key genes and the degree of infiltration of immune cells was analyzed using TIMER. Results: A total of 435 co-expressed genes were obtained, which were mainly concentrated in the extracellular matrix tissue and the signaling pathways of cell adhesion molecules. Combined with PPI and TRRUST database, seven key MPM prognostic genes were identified. Among them, cyclin 20 (CDC20) , cell cycle checkpoint kinase 1 (CHEK1) , enhancer of Zeste homolog 2 (EZH2) , ribonucleotide reductase subunit M2 (RRM2) , topoisomerase 2A (TOP2A) , ubiquitin like plant homeodomain and ring finger domain 1 (UHRF1) were significantly up-regulated in MPM, while cyclin A1 (CCNA1) was significantly down-regulated. The expressions of CCNA1, CDC20, CHEK1, EZH2, RRM2, TOP2A and UHRF1 genes were significantly associated with MPM overall survival (P<0.05) . The expressions of CDC20, CHEK1, EZH2, RRM2 and TOP2A genes were positively correlated with B cells and dendritic cells (P<0.05) , and negatively correlated with neutrophils (P<0.05) . Conclusion: CCNA1, CDC20, CHEK1, EZH2, RRM2, TOP2A and UHRF1 may be potential prognostic markers in MPM patients, and their expressions may be related to MPM tumor immunity.
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Affiliation(s)
- N Wang
- Department of Occupational Radiological Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - Q N Zhao
- Department of Occupational Radiological Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - Q Yuan
- Department of Occupational Radiological Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - B L Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210028, China
| | - W Wu
- Department of Occupational Radiological Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
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Che YL, Xu ZN, Wang N, Ma QZ, Zheng ZY, Sun YN, Wang JT. [Analysis of nasal microbial characteristics in patients with allergic rhinitis and non-allergic rhinitis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:885-891. [PMID: 37675527 DOI: 10.3760/cma.j.cn115330-20221012-00605] [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: 09/08/2023]
Abstract
Objective: To investigate the characteristics of nasal flora and the pathogenic role of differential microbiome in patients with allergic rhinitis (AR) and non-allergic rhinitis (nAR). Methods: Thirty-five patients with AR who attended the rhinology outpatient clinic of the Second Hospital of Harbin Medical University from February to July 2022 were selected. A total of 35 nAR patients were selected as the test group, and 20 cases of healthy people with physical examination at the same period were selected as the control group, including 39 males and 51 females, aged 8 to 55 years. 16SrDNA High-throughput sequencing was used to analyze the relative abundance from nasal flora in the three groups of subjects. Alpha diversity index analysis was conducted with R software, and differences between groups were analyzed with LEfSe, Metastats, and t tests. At the same time, the role of microbiome and its relationship with environmental factors were analyzed with R software. Results: There was a significant difference in the bacterial composition of the samples from the three groups, with the relative abundance of Staphylococcus aureus (P=0.032) and Corynebacterium proinquum (P=0.032) within the AR group being significantly higher than that of the nAR group, and that of Lactobacillus murinus, Lactobacillus kunkeei, and Alcaligenes faecalis (P value was 0.016, 0.005, and 0.001, respectively) being significantly lower than that of the nAR group. The relative abundance of Ackermannia muciniphila within the nAR group was higher than that of the control group (P=0.009). Correlation analysis of environmental factors showed a negative correlation between Lactobacillus kunkeei and IgE (P=0.044), and a positive correlation between Lactobacillus murinus and age (P=0.019). AR and nAR random forest prediction models were constructed for the five genera, respectively, and the area under the curve (AUC) of the models of Streptococcus-SP-FF10, Pseudoalteromonas luteoviolacea, Pseudomonas parafulva, Acinetobacter ursingii, and Azotobacter chroococcum in the AR group was 100% (95%CI: 100% to 100%). The AUC for the Pseudomonas parafulva, Azotobacter chroococcum, Closoridium baratii, Turicibacter-SP-H121, and Streptococcus lutetiensis models in the nAR group was 98.4% (95%CI: 94.9% to 100%). Conclusions: The distribution of nasal flora in AR patients, nAR patients and healthy subjects is significantly different, and the changes of bacterial flora abundance are significantly related to the occurrence of AR and nAR. Combined detection of microbiota has the potential to diagnose AR and nAR patients.
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Affiliation(s)
- Y L Che
- Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - Z N Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - N Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - Q Z Ma
- Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - Z Y Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - Y N Sun
- Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - J T Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
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Lu AT, Fei Z, Haghani A, Robeck TR, Zoller JA, Li CZ, Lowe R, Yan Q, Zhang J, Vu H, Ablaeva J, Acosta-Rodriguez VA, Adams DM, Almunia J, Aloysius A, Ardehali R, Arneson A, Baker CS, Banks G, Belov K, Bennett NC, Black P, Blumstein DT, Bors EK, Breeze CE, Brooke RT, Brown JL, Carter GG, Caulton A, Cavin JM, Chakrabarti L, Chatzistamou I, Chen H, Cheng K, Chiavellini P, Choi OW, Clarke SM, Cooper LN, Cossette ML, Day J, DeYoung J, DiRocco S, Dold C, Ehmke EE, Emmons CK, Emmrich S, Erbay E, Erlacher-Reid C, Faulkes CG, Ferguson SH, Finno CJ, Flower JE, Gaillard JM, Garde E, Gerber L, Gladyshev VN, Gorbunova V, Goya RG, Grant MJ, Green CB, Hales EN, Hanson MB, Hart DW, Haulena M, Herrick K, Hogan AN, Hogg CJ, Hore TA, Huang T, Izpisua Belmonte JC, Jasinska AJ, Jones G, Jourdain E, Kashpur O, Katcher H, Katsumata E, Kaza V, Kiaris H, Kobor MS, Kordowitzki P, Koski WR, Krützen M, Kwon SB, Larison B, Lee SG, Lehmann M, Lemaitre JF, Levine AJ, Li C, Li X, Lim AR, Lin DTS, Lindemann DM, Little TJ, Macoretta N, Maddox D, Matkin CO, Mattison JA, McClure M, Mergl J, Meudt JJ, Montano GA, Mozhui K, Munshi-South J, Naderi A, Nagy M, Narayan P, Nathanielsz PW, Nguyen NB, Niehrs C, O'Brien JK, O'Tierney Ginn P, Odom DT, Ophir AG, Osborn S, Ostrander EA, Parsons KM, Paul KC, Pellegrini M, Peters KJ, Pedersen AB, Petersen JL, Pietersen DW, Pinho GM, Plassais J, Poganik JR, Prado NA, Reddy P, Rey B, Ritz BR, Robbins J, Rodriguez M, Russell J, Rydkina E, Sailer LL, Salmon AB, Sanghavi A, Schachtschneider KM, Schmitt D, Schmitt T, Schomacher L, Schook LB, Sears KE, Seifert AW, Seluanov A, Shafer ABA, Shanmuganayagam D, Shindyapina AV, Simmons M, Singh K, Sinha I, Slone J, Snell RG, Soltanmaohammadi E, Spangler ML, Spriggs MC, Staggs L, Stedman N, Steinman KJ, Stewart DT, Sugrue VJ, Szladovits B, Takahashi JS, Takasugi M, Teeling EC, Thompson MJ, Van Bonn B, Vernes SC, Villar D, Vinters HV, Wallingford MC, Wang N, Wayne RK, Wilkinson GS, Williams CK, Williams RW, Yang XW, Yao M, Young BG, Zhang B, Zhang Z, Zhao P, Zhao Y, Zhou W, Zimmermann J, Ernst J, Raj K, Horvath S. Universal DNA methylation age across mammalian tissues. Nat Aging 2023; 3:1144-1166. [PMID: 37563227 PMCID: PMC10501909 DOI: 10.1038/s43587-023-00462-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 06/21/2023] [Indexed: 08/12/2023]
Abstract
Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals.
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Affiliation(s)
- A T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
| | - Z Fei
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Statistics, University of California, Riverside, Riverside, CA, USA
| | - A Haghani
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
| | - T R Robeck
- Zoological SeaWorld Parks and Entertainment, Orlando, FL, USA
| | - J A Zoller
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Z Li
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - R Lowe
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - Q Yan
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
| | - J Zhang
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - H Vu
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - J Ablaeva
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - V A Acosta-Rodriguez
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - D M Adams
- Department of Biology, University of Maryland, College Park, MD, USA
| | - J Almunia
- Loro Parque Fundacion, Puerto de la Cruz, Spain
| | - A Aloysius
- Department of Biology, University of Kentucky, Lexington, KY, USA
| | - R Ardehali
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - A Arneson
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - C S Baker
- Marine Mammal Institute, Oregon State University, Newport, OR, USA
| | - G Banks
- School of Science and Technology, Clifton Campus, Nottingham Trent University, Nottingham, UK
| | - K Belov
- School of Life and Environmental Sciences, the University of Sydney, Sydney, New South Wales, Australia
| | - N C Bennett
- Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa
| | - P Black
- Busch Gardens Tampa, Tampa, FL, USA
| | - D T Blumstein
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA
- Rocky Mountain Biological Laboratory, Crested Butte, CO, USA
| | - E K Bors
- Marine Mammal Institute, Oregon State University, Newport, OR, USA
| | - C E Breeze
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - R T Brooke
- Epigenetic Clock Development Foundation, Los Angeles, CA, USA
| | - J L Brown
- Center for Species Survival, Smithsonian Conservation Biology Institute, Front Royal, VA, USA
| | - G G Carter
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA
| | - A Caulton
- AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - J M Cavin
- Gulf World, Dolphin Company, Panama City Beach, FL, USA
| | - L Chakrabarti
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
| | - I Chatzistamou
- Department of Pathology, Microbiology and Immunology, School of Medicine, University of South Carolina, Columbia, SC, USA
| | - H Chen
- Department of Pharmacology, Addiction Science and Toxicology, the University of Tennessee Health Science Center, Memphis, TN, USA
| | - K Cheng
- Medical Informatics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - P Chiavellini
- Biochemistry Research Institute of La Plata, Histology and Pathology, School of Medicine, University of La Plata, La Plata, Argentina
| | - O W Choi
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - S M Clarke
- AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand
| | - L N Cooper
- Department of Anatomy and Neurobiology, Northeast Ohio Medical University, Rootstown, OH, USA
| | - M L Cossette
- Department of Environmental and Life Sciences, Trent University, Peterborough, Ontario, Canada
| | - J Day
- Taronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, New South Wales, Australia
| | - J DeYoung
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - S DiRocco
- SeaWorld of Florida, Orlando, FL, USA
| | - C Dold
- Zoological Operations, SeaWorld Parks and Entertainment, Orlando, FL, USA
| | | | - C K Emmons
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - S Emmrich
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - E Erbay
- Altos Labs, San Francisco, CA, USA
| | - C Erlacher-Reid
- SeaWorld of Florida, Orlando, FL, USA
- SeaWorld Orlando, Orlando, FL, USA
| | - C G Faulkes
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - S H Ferguson
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - C J Finno
- Department of Population Health and Reproduction, University of California, Davis School of Veterinary Medicine, Davis, CA, USA
| | | | - J M Gaillard
- Universite de Lyon, Universite Lyon 1, CNRS, Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne, France
| | - E Garde
- Greenland Institute of Natural Resources, Nuuk, Greenland
| | - L Gerber
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - V N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - V Gorbunova
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - R G Goya
- Biochemistry Research Institute of La Plata, Histology and Pathology, School of Medicine, University of La Plata, La Plata, Argentina
| | - M J Grant
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, the University of Auckland, Auckland, New Zealand
| | - C B Green
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - E N Hales
- Department of Population Health and Reproduction, University of California, Davis School of Veterinary Medicine, Davis, CA, USA
| | - M B Hanson
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - D W Hart
- Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa
| | - M Haulena
- Vancouver Aquarium, Vancouver, British Columbia, Canada
| | - K Herrick
- SeaWorld of California, San Diego, CA, USA
| | - A N Hogan
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - C J Hogg
- School of Life and Environmental Sciences, the University of Sydney, Sydney, New South Wales, Australia
| | - T A Hore
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - T Huang
- Division of Human Genetics, Department of Pediatrics, University at Buffalo, Buffalo, NY, USA
- Division of Genetics and Metabolism, Oishei Children's Hospital, Buffalo, NY, USA
| | | | - A J Jasinska
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - G Jones
- School of Biological Sciences, University of Bristol, Bristol, UK
| | | | - O Kashpur
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA, USA
| | - H Katcher
- Yuvan Research, Mountain View, CA, USA
| | | | - V Kaza
- Peromyscus Genetic Stock Center, University of South Carolina, Columbia, SC, USA
| | - H Kiaris
- Peromyscus Genetic Stock Center, University of South Carolina, Columbia, SC, USA
- Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - M S Kobor
- Edwin S.H. Leong Healthy Aging Program, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - P Kordowitzki
- Institute of Animal Reproduction and Food Research of the Polish Academy of Sciences, Olsztyn, Poland
- Institute for Veterinary Medicine, Nicolaus Copernicus University, Torun, Poland
| | - W R Koski
- LGL Limited, King City, Ontario, Canada
| | - M Krützen
- Evolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
| | - S B Kwon
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - B Larison
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
- Center for Tropical Research, Institute for the Environment and Sustainability, UCLA, Los Angeles, CA, USA
| | - S G Lee
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - M Lehmann
- Biochemistry Research Institute of La Plata, Histology and Pathology, School of Medicine, University of La Plata, La Plata, Argentina
| | - J F Lemaitre
- Universite de Lyon, Universite Lyon 1, CNRS, Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne, France
| | - A J Levine
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Li
- Texas Pregnancy and Life-course Health Center, Southwest National Primate Research Center, San Antonio, TX, USA
- Department of Animal Science, College of Agriculture and Natural Resources, Laramie, WY, USA
| | - X Li
- Technology Center for Genomics and Bioinformatics, Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - A R Lim
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - D T S Lin
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - T J Little
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - N Macoretta
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - D Maddox
- White Oak Conservation, Yulee, FL, USA
| | - C O Matkin
- North Gulf Oceanic Society, Homer, AK, USA
| | - J A Mattison
- Translational Gerontology Branch, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | | | - J Mergl
- Marineland of Canada, Niagara Falls, Ontario, Canada
| | - J J Meudt
- Biomedical and Genomic Research Group, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - G A Montano
- Zoological Operations, SeaWorld Parks and Entertainment, Orlando, FL, USA
| | - K Mozhui
- Department of Preventive Medicine, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA
| | - J Munshi-South
- Louis Calder Center-Biological Field Station, Department of Biological Sciences, Fordham University, Armonk, NY, USA
| | - A Naderi
- Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - M Nagy
- Museum fur Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany
| | - P Narayan
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, the University of Auckland, Auckland, New Zealand
| | - P W Nathanielsz
- Texas Pregnancy and Life-course Health Center, Southwest National Primate Research Center, San Antonio, TX, USA
- Department of Animal Science, College of Agriculture and Natural Resources, Laramie, WY, USA
| | - N B Nguyen
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Niehrs
- Institute of Molecular Biology, Mainz, Germany
- Division of Molecular Embryology, DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - J K O'Brien
- Taronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, New South Wales, Australia
| | - P O'Tierney Ginn
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA, USA
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Boston, MA, USA
| | - D T Odom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Division of Regulatory Genomics and Cancer Evolution, Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | - A G Ophir
- Department of Psychology, Cornell University, Ithaca, NY, USA
| | - S Osborn
- SeaWorld of Texas, San Antonio, TX, USA
| | - E A Ostrander
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - K M Parsons
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - K C Paul
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - M Pellegrini
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - K J Peters
- Evolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - A B Pedersen
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - J L Petersen
- Department of Animal Science, University of Nebraska, Lincoln, NE, USA
| | - D W Pietersen
- Mammal Research Institute, Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa
| | - G M Pinho
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
| | - J Plassais
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - J R Poganik
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Prado
- Department of Biology, College of Arts and Science, Adelphi University, Garden City, NY, USA
| | - P Reddy
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - B Rey
- Universite de Lyon, Universite Lyon 1, CNRS, Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne, France
| | - B R Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- Department of Environmental Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - J Robbins
- Center for Coastal Studies, Provincetown, MA, USA
| | | | - J Russell
- SeaWorld of California, San Diego, CA, USA
| | - E Rydkina
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - L L Sailer
- Department of Psychology, Cornell University, Ithaca, NY, USA
| | - A B Salmon
- The Sam and Ann Barshop Institute for Longevity and Aging Studies and Department of Molecular Medicine, UT Health San Antonio and the Geriatric Research Education and Clinical Center, South Texas Veterans Healthcare System, San Antonio, TX, USA
| | | | - K M Schachtschneider
- Department of Radiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, USA
- National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - D Schmitt
- College of Agriculture, Missouri State University, Springfield, MO, USA
| | - T Schmitt
- SeaWorld of California, San Diego, CA, USA
| | | | - L B Schook
- Department of Radiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - K E Sears
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - A W Seifert
- Department of Biology, University of Kentucky, Lexington, KY, USA
| | - A Seluanov
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - A B A Shafer
- Department of Forensic Science, Environmental and Life Sciences, Trent University, Peterborough, Ontario, Canada
| | - D Shanmuganayagam
- Biomedical and Genomic Research Group, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, USA
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - A V Shindyapina
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - K Singh
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM'S NMIMS University, Mumbai, India
| | - I Sinha
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
| | - J Slone
- Division of Human Genetics, Department of Pediatrics, University at Buffalo, Buffalo, NY, USA
| | - R G Snell
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, the University of Auckland, Auckland, New Zealand
| | - E Soltanmaohammadi
- Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - M L Spangler
- Department of Animal Science, University of Nebraska, Lincoln, NE, USA
| | | | - L Staggs
- SeaWorld of Florida, Orlando, FL, USA
| | | | - K J Steinman
- Species Preservation Laboratory, SeaWorld San Diego, San Diego, CA, USA
| | - D T Stewart
- Biology Department, Acadia University, Wolfville, Nova Scotia, Canada
| | - V J Sugrue
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - B Szladovits
- Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, UK
| | - J S Takahashi
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Howard Hughes Medical Institute, Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - M Takasugi
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - E C Teeling
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - M J Thompson
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - B Van Bonn
- John G. Shedd Aquarium, Chicago, IL, USA
| | - S C Vernes
- School of Biology, the University of St Andrews, Fife, UK
- Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - D Villar
- Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - H V Vinters
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - M C Wallingford
- Mother Infant Research Institute, Tufts Medical Center, Boston, MA, USA
- Division of Obstetrics and Gynecology, Tufts University School of Medicine, Boston, MA, USA
| | - N Wang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - R K Wayne
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA
| | - G S Wilkinson
- Department of Biology, University of Maryland, College Park, MD, USA
| | - C K Williams
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - R W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA
| | - X W Yang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - M Yao
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - B G Young
- Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada
| | - B Zhang
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Z Zhang
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - P Zhao
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, USA
| | - Y Zhao
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - W Zhou
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - J Zimmermann
- Department of Mathematics and Technology, University of Applied Sciences Koblenz, Koblenz, Germany
| | - J Ernst
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - K Raj
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - S Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Altos Labs, San Diego Institute of Science, San Diego, CA, USA.
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
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Du JS, Wang HT, Dou LP, Wang N, Li F, Jin XS, Liu DH. [Efficacy analysis of anti-thymocyte globulin regimens with different timing strategies for matched sibling donor hematopoietic stem cell transplantation]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:660-666. [PMID: 37803840 PMCID: PMC10520230 DOI: 10.3760/cma.j.issn.0253-2727.2023.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Indexed: 10/08/2023]
Abstract
Objective: To compare the effects of two administration time strategies for rabbit antihuman thymocyte immunoglobulin (rATG) of 5mg/kg total dose in matched sibling donor hematopoietic stem cell transplantation (MSD-HSCT) . Methods: This study retrospectively analyzed the clinical data of 32 patients who received MSD-HSCT with 5 mg/kg rATG conditioning regimen at the Department of Hematology of the First Medical Center of the People's Liberation Army General Hospital from October 2020 to April 2022. The patients were classified into two groups: the 4d-rATG group (16 cases), who received antithymocyte globulin (ATG) from day -5 to day -2, and the 2d-rATG group (16 cases), who received ATG from day -5 to day -4. Between the two groups, the transplantation outcomes, serum concentrations of active antithymocyte globulin (ATG) in patients from -4 days to 28 days after graft infusion (+28 days), and the reconstitution of lymphocyte subsets on days +30, +60, and +90 were compared. Results: The cumulative incidences of acute graft-versus-host disease at 100 days after graft infusion were 25.0% (95% CI 7.8% -47.2% ) and 18.8% (95% CI 4.6% -40.2% ) (P=0.605) in the 4d-rATG group and 2d-rATG group, respectively. The 1-year cumulative incidences of chronic graft-versus-host disease were 25.9% (95% CI 8.0% -48.6% ) and 21.8% (95% CI 5.2% -45.7% ) (P=0.896). The 1-year cumulative incidence of relapse was 37.5% (95% CI 18.9% -65.1% ) and 14.6% (95% CI 3.6% -46.0% ) (P=0.135), and the 1-year probabilities of overall survival were 75.0% (95% CI 46.3% -89.8% ) and 100% (P=0.062). The total area under the curve (AUC) of serum active ATG was 36.11 UE/ml·d and 35.89 UE/ml·d in the 4d-rATG and 2d-rATG groups, respectively (P=0.984). The AUC was higher in the 4d-rATG group than that in the 2d-rATG group (20.76 UE/ml·d vs 15.95 UE/ml·d, P=0.047). Three months after graft infusion, the average absolute count of CD8(+) T lymphocytes in the 4d-rATG group was lower than that in the 2d-rATG group (623 cells/μl vs 852 cells/μl, P=0.037) . Conclusion: The efficiencies of GVHD prophylaxis in MSD-PBSCT receiving 4d-ATG regimen and the 2d-rATG regimen were found to be similar. The reconstruction of CD8(+)T lymphocytes in the 2d-rATG group was better than that in the 4d-rATG group, which is related to the lower AUC of active ATG after transplantation.
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Affiliation(s)
- J S Du
- Chinese PLA General Hospital, Department of Hematology in the Fifth Medical Center of PLA General Hospital, Beijing 100853, China
| | - H T Wang
- Chinese PLA General Hospital, Department of Hematology in the Fifth Medical Center of PLA General Hospital, Beijing 100853, China
| | - L P Dou
- Chinese PLA General Hospital, Department of Hematology in the Fifth Medical Center of PLA General Hospital, Beijing 100853, China
| | - N Wang
- Chinese PLA General Hospital, Department of Hematology in the Fifth Medical Center of PLA General Hospital, Beijing 100853, China
| | - F Li
- Chinese PLA General Hospital, Department of Hematology in the Fifth Medical Center of PLA General Hospital, Beijing 100853, China
| | - X S Jin
- Chinese PLA General Hospital, Department of Hematology in the Fifth Medical Center of PLA General Hospital, Beijing 100853, China
| | - D H Liu
- Chinese PLA General Hospital, Department of Hematology in the Fifth Medical Center of PLA General Hospital, Beijing 100853, China
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Fu M, Ji X, Zhong L, Wu Q, Li H, Wang N. [Expression changes of Na V channel subunits correlate with developmental maturation of electrophysiological characteristics of rat cerebellar Purkinje neurons]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1102-1109. [PMID: 37488792 PMCID: PMC10366519 DOI: 10.12122/j.issn.1673-4254.2023.07.06] [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: 07/26/2023]
Abstract
OBJECTIVE To investigate the variations in the expression of voltage-gated sodium (Nav) channel subunits during development of rat cerebellar Purkinje neurons and their correlation with maturation of electrophysiological characteristics of the neurons. METHODS We observed the changes in the expression levels of NaV1.1, 1.2, 1.3 and 1.6 during the development of Purkinje neurons using immunohistochemistry in neonatal (5-7 days after birth), juvenile (12-14 days), adolescent (21-24 days), and adult (42-60 days) SD rats. Using whole-cell patch-clamp technique, we recorded the spontaneous electrical activity of the neurons in ex vivo brain slices of rats of different ages to analyze the changes of electrophysiological characteristics of these neurons during development. RESULTS The expression of NaV subunits in rat cerebellar Purkinje neurons showed significant variations during development. NaV1.1 subunit was highly expressed throughout the developmental stages and increased progressively with age (P < 0.05). NaV1.2 expression was not detected in the neurons in any of the developmental stages (P > 0.05). The expression level of NaV1.3 decreased with development and became undetectable after adolescence (P < 0.05). NaV1.6 expression was not detected during infancy, but increased with further development (P < 0.05). NaV1.1 and NaV1.3 were mainly expressed in the early stages of development. With the maturation of the rats, NaV1.3 expression disappeared and NaV1.6 expression increased in the neurons. NaV1.1 and NaV1.6 were mainly expressed after adolescence. The total NaV protein level increased gradually with development (P < 0.05) and tended to stabilize after adolescence. The spontaneous frequency and excitability of the Purkinje neurons increased gradually with development and reached the mature levels in adolescence. The developmental expression of NaV subunits was positively correlated with discharge frequency (r=0.9942, P < 0.05) and negatively correlated with the excitatory threshold of the neurons (r=0.9891, P < 0.05). CONCLUSION The changes in the expression levels of NaV subunits are correlated with the maturation of high frequency electrophysiological properties of the neurons, suggesting thatmature NaV subunit expressions is the basis of maturation of electrophysiological characteristics of the neurons.
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Affiliation(s)
- M Fu
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - X Ji
- Department of Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Zhong
- Disease Control Department, 74th Army Group Hospital of PLA, Guangzhou 510300, China
| | - Q Wu
- Department of Basic Medicine, Guangdong Jiangmen Chinese Medicine College, Jiangmen 529000, China
| | - H Li
- Department of Mathematical Physics, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - N Wang
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
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Ye J, Xu W, Xi B, Wang N, Chen T. [Lactate-induced up-regulation of PLEKHA4 promotes proliferation and apoptosis of human glioma cells]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1071-1080. [PMID: 37488789 PMCID: PMC10366507 DOI: 10.12122/j.issn.1673-4254.2023.07.03] [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: 07/26/2023]
Abstract
OBJECTIVE To investigate the effect of lactic acid-induced upregulation of PLEKHA4 expression on biological behaviors of glioma cells and the possible molecular mechanism. METHODS GEO database and GEPIA2 website were used to analyze the relationship between PLEKHA4 expression level and the pathological grade of glioma. A specific PLEKHA4 siRNA was transfected in glioma U251 and T98G cells, and the changes in cell proliferation ability were assessed by real-time cell analysis technology and Edu experiment. The colony-forming ability of the cells was evaluated using plate cloning assay, and cell cycle changes and cell apoptosis were analyzed with flow cytometry. The mRNA expression of PLEKHA4 was detected by PCR in glioma samples and controls and in glioma cells treated with lactic acid and glucose. Xenograft mice in vivo was used to detect tumor formation in nude mice; Western blotting was used to detect the expressions of cyclinD1, CDK2, Bcl2, β-catenin and phosphorylation of the key proteins in the MAPK signaling pathway. RESULTS The results of GEO database and online website analysis showed that PLEKHA4 was highly expressed in glioma tissues and was associated with poor prognosis; PLEKHA4 knockdown obviously inhibited the proliferation and attenuated the clone-forming ability of the glioma cells (P < 0.05). Flow cytometry showed that PLEKHA4 knockdown caused cell cycle arrest in G1 phase and promoted apoptosis of the cells (P < 0.01). PLEKHA4 gene mRNA expression was increased in glioma samples and glioma cells after lactate and glucose treatment (P < 0.01). PLEKHA4 knockdown, tumor formation ability of nude mice decreased; PLEKHA4 knockdown obviously lowered the expression of cyclinD1, CDK2, Bcl2 and other functional proteins, inhibited the phosphorylation of ERK and p38 and reduced the expression of β-catenin protein (P < 0.01). CONCLUSION PLEKHA4 knockdown inhibited the proliferation of glioma cells and promoted apoptosis by inhibiting the activation of the MAPK signaling pathway and expression of β-catenin. Lactic acid produced by glycolysis upregulates the expression of PLEKHA4 in glioma cells.
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Affiliation(s)
- J Ye
- Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu 241001, China
- Central Laboratory, Wannan Medical College, Wuhu 241001, China
| | - W Xu
- Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu 241001, China
- Central Laboratory, Wannan Medical College, Wuhu 241001, China
| | - B Xi
- Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu 241001, China
- Clinical Laboratory, Wannan Medical College, Wuhu 241001, China
| | - N Wang
- Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu 241001, China
- Department of Pediatrics, Yijishan Hospital, Wannan Medical College, Wuhu 241001, China
| | - T Chen
- Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu 241001, China
- Central Laboratory, Wannan Medical College, Wuhu 241001, China
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Hou SS, Wu YL, Luo W, Yin X, Sun ZX, Zhao Q, Zhao GM, Jiang YG, Wang N, Jiang QW. [Association between sedentary behavior and force expiratory volume in 1 second reduction in middle-aged and elderly adults in communities]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1092-1098. [PMID: 37482712 DOI: 10.3760/cma.j.cn112338-20221111-00963] [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: 07/25/2023]
Abstract
Objective: To analyze the relationship between sedentary behavior and the force expiratory volume in 1 second (FEV1) reduction in middle-aged and elderly people in communities. Methods: The participants aged ≥40 years were randomly selected from a natural population cohort in Songjiang District, Shanghai, for pulmonary function tests and survey by using international physical activity questionnaire, a generalized additive model was used to analyze the association between sedentary behavior and FEV1 reduction in the study population and different sex-age subgroups. Results: A total of 3 121 study subjects aged ≥40 years were included. The prevalence of FEV1 reduction was 14.8%, which was higher in men than in women. There were 24.8% participants were completely sedentary. The prevalence of FEV1 reduction in women aged <60 years in complete sedentary group was 2.04 (95%CI: 1.11-3.72) times higher than that in non-complete sedentary group. In men aged <60 years, the prevalence of FEV1 reduction increased with daily sedentary time (OR=1.16, 95%CI: 1.04-1.29), and the prevalence of FEV1 reduction was also higher in those with sedentary time >5 hours/day than those with sedentary time ≤5 hours/day (OR=3.02, 95%CI: 1.28-7.16). The sensitivity analysis also found such associations. Conclusions: FEV1 reduction rate in age group <60 years was associated with sedentary behavior. Complete sedentary behavior or absence of moderate to vigorous physical activity played important roles in FEV1 reduction in women, while men were more likely to be affected by increased sedentary time, which had no association with physical activity. Reducing sedentary time to avoid complete sedentary behavior, along with increased physical activity, should be encouraged in middle-aged and elderly adults in communities to improve their pulmonary function.
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Affiliation(s)
- S S Hou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y L Wu
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - W Luo
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - X Yin
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Z X Sun
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - Q Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - G M Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y G Jiang
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - N Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Q W Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
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Wang YY, Zhao Q, Chen B, Wang N, Zhang TJ, Jiang YG, Wu YL, He N, Zhao GM, Liu X. [Association between metabolism-related chronic disease combination and prevalence of non-alcoholic fatty liver disease in community residents in Shanghai]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1106-1113. [PMID: 37482714 DOI: 10.3760/cma.j.cn112338-20230106-00012] [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: 07/25/2023]
Abstract
Objective: To explore the combination of metabolism-related chronic diseases associated with the prevalence of non-alcoholic fatty liver disease (NAFLD) in community residents in Shanghai. Methods: The baseline data of Shanghai Suburban Adult Cohort and Biobank were used to understand the prevalence of five metabolism-related chronic diseases, including obesity, hypertension, hyperlipidemia, gout and diabetes, based on questionnaire survey, physical examination and blood biochemical detection. NAFLD was diagnosed by B-ultrasound detection and questionnaire. Multivariable logistic regression model was used to analyze the association of 31 metabolism-related chronic diseases combinations with the prevalence of NAFLD. Results: The median age (Q1, Q3) of 65 477 subjects was 60 (51, 66) years, and men accounted for 40.6%. The overall prevalence of NAFLD was 38.2%, and the prevalence of HAFLD in patients without any of the five metabolism-related chronic diseases was 12.0%. The chronic disease combination with the strongest association with NAFLD was obesity + hypertension + hyperlipidemia + gout + diabetes in the total population (OR=37.94, 95%CI: 31.02-46.41), in women (OR=36.99, 95%CI: 28.78-47.54) and in age group ≥60 years (OR=36.19, 95%CI: 28.25-46.36). The chronic disease combination with the strongest association with NAFLD was obesity + hyperlipidemia + gout + diabetes in men (OR=50.70, 95%CI: 24.62-104.40) and in age group <60 years (OR=49.58, 95%CI: 24.22-101.47). Conclusions: The prevalence of NAFLD in community residents in Shanghai was high. Attention needs to be paid to health of obese people and weight loss should be promoted for them. Community health education should be strengthened for patients complicated with gout, diabetes, hyperlipidemia and hypertension and it is necessary to correct abnormal serum uric acid, blood sugar, blood lipids and blood pressure in a timely manner to reduce the risk of NAFLD.
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Affiliation(s)
- Y Y Wang
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Q Zhao
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - B Chen
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - N Wang
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - T J Zhang
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y G Jiang
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - Y L Wu
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - N He
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - G M Zhao
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - X Liu
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
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Chen JM, Chen M, Ren XC, Chen WC, Wang N, Li JW. [Research progress of metal micro-battery dressings in wound repair]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:596-600. [PMID: 37805778 DOI: 10.3760/cma.j.cn501225-20220926-00416] [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: 10/09/2023]
Abstract
To develop the dressings that can both inhibit bacterial infection and actively promote healing is of great importance for wound repair and the development of medical technology. Electrical stimulation has multiple roles in wound healing, including hemostasis, antibacterial, anti-inflammatory, guidance of cell migration, promotion of re-epithelialization, and proliferation of cells. Metal micro-battery can provide a stable source of electrical stimulation energy without an external power source. Thus, the integration of metal micro-battery with medical dressings opens up new opportunities for the wireless application of electrical stimulation in wound repair. In this review, the mechanism of the effect of electrical stimulation on wound healing is systematically presented, then recent advances in metal micro-battery dressings, including preparation methods, antibacterial performance, and healing properties are mainly introduced, and the current challenges and prospects of metal micro-battery dressings are also provided.
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Affiliation(s)
- J M Chen
- College of Textile & Clothing, Qingdao University, Institute of Nonwovens and Industrial Textile Innovation, Qingdao 266071, China
| | - M Chen
- College of Textile & Clothing, Qingdao University, Institute of Nonwovens and Industrial Textile Innovation, Qingdao 266071, China
| | - X C Ren
- College of Textile & Clothing, Qingdao University, Institute of Nonwovens and Industrial Textile Innovation, Qingdao 266071, China
| | - W C Chen
- College of Textile & Clothing, Qingdao University, Institute of Nonwovens and Industrial Textile Innovation, Qingdao 266071, China
| | - N Wang
- College of Textile & Clothing, Qingdao University, Institute of Nonwovens and Industrial Textile Innovation, Qingdao 266071, China
| | - J W Li
- College of Textile & Clothing, Qingdao University, Institute of Nonwovens and Industrial Textile Innovation, Qingdao 266071, China
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Yang J, Liu Z, Guo H, Reheman Z, Ye J, Song S, Wang N, Nie W, Nie J. Prevalence and influencing factors of anaemia among pregnant women in rural areas of Northwestern China. Public Health 2023; 220:50-56. [PMID: 37269588 DOI: 10.1016/j.puhe.2023.04.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 03/22/2023] [Accepted: 04/26/2023] [Indexed: 06/05/2023]
Abstract
OBJECTIVES Anaemia during pregnancy is a significant public health problem that adversely impacts both the mother and foetus. However, the factors influencing maternal anaemia in deprived areas of Northwestern China have not yet been thoroughly investigated. This study aimed to describe the prevalence and potential influencing factors of anaemia among expectant mothers in rural areas of Northwestern China. STUDY DESIGN This was a cross-sectional survey. METHODS A cross-sectional survey of 586 expectant mothers was conducted to investigate the prevalence of anaemia, prenatal healthcare coverage, dietary diversity and nutrient supplementation intake. The study population was selected from the sample areas using a random sampling method. Data were collected through a questionnaire, and haemoglobin concentrations were measured by a capillary blood test. RESULTS The results show that 34.8% of the study population were anaemic, with 13% having moderate-to-severe anaemia. The results of the regression analysis showed that diet was not significantly associated with haemoglobin concentrations or the prevalence of anaemia. However, regular prenatal healthcare attendance was found to be an important influencing factor for both haemoglobin concentration (β = 3.67, P = 0.002) and the prevalence of anaemia (odds ratio = 0.59, P = 0.011). CONCLUSIONS Pregnant women receiving regular prenatal care were less likely to be anaemic; thus, it is essential to implement strategies to improve attendance at maternal public health services to reduce the prevalence of maternal anaemia.
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Affiliation(s)
- J Yang
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - Z Liu
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - H Guo
- School of Philosophy and Government, Shaanxi Normal University, Xian, China.
| | - Z Reheman
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - J Ye
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - S Song
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - N Wang
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - W Nie
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - J Nie
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
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Ni N, Wang N, Veronese V, Wang MZ, Wang JW, Wang CH, Li T, Xia YY, Huang F, Zhao YL. Current status and future prospects of TB digital treatment adherence technology use in China. Int J Tuberc Lung Dis 2023; 27:438-443. [PMID: 37231604 DOI: 10.5588/ijtld.22.0540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND: Digital treatment adherence technologies (DATs) have been recommended by the Chinese National Tuberculosis Programme since 2015. However, until now the extent to which DATs have been adopted in China remain unclear. In this study, we aimed to understand the current status and future prospects of DAT use in China.METHODS: A cross-sectional study was undertaken to collect data from all 2,884 county-level TB-designated institutions across China using a quantitative questionnaire and extraction of information from the Chinese TB information management system. Data were collected between 1 July 2020 and 30 June 2021.RESULTS: All of the 2,884 county-level TB-designated institutions responded to the questionnaire. We found that the utilisation rate of DATs in China was 21.5% (n = 620). Among those using DATs, the uptake of DATs among TB patients was 31.0%. Lack of financial, policy and technology support were the main barriers to adoption and scale up DATs at the institution level.CONCLUSIONS: The use of DATs is in an early stage in China; however, the number of institutions who offer DATs have increased significantly after July 2020. To facilitate the use of DATs, the national TB programme should provide more financial, policy and technology support, and a national guideline is required.
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Affiliation(s)
- N Ni
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - N Wang
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - V Veronese
- The Special Programme for Research and Training in Tropical Diseases, World Health Organization, Geneva, Switzerland
| | - M-Z Wang
- Xinjiang Province Center Disease Control and Prevention, Urumchi, China
| | - J-W Wang
- Guangdong Tuberculosis Control Center, Guangzhou, China
| | - C-H Wang
- Tianjin Tuberculosis Control Center, Tianjin, China
| | - T Li
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Y-Y Xia
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - F Huang
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Y-L Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Tong H, Cong S, Fang LW, Fan J, Wang N, Zhao QQ, Wu J. [Performance of pulmonary function test in people aged 40 years and above in China, 2019-2020]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:727-734. [PMID: 37221060 DOI: 10.3760/cma.j.cn112338-20230202-00051] [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: 05/25/2023]
Abstract
Objective: To understand the performance of pulmonary function tests in people aged ≥40 years and its changes in China, and provide evidence for the evaluation of the effect of chronic obstructive pulmonary disease (COPD) prevention and control in China. Methods: The subjects of the survey were from COPD surveillance during 2014-2015 and during 2019-2020, which covered 31 provinces (autonomous regions and municipalities) in China. The survey used multi-stage stratified cluster random sampling method, the trained investigators conducted face-to-face interview to know whether subjects had previous pulmonary function testing or not. Complex sampling weighting was used to estimate the rate of pulmonary function testing in people aged ≥40 years, and the pulmonary function testing rates of the two COPD surveillance periods were compared. Results: A total of 148 427 persons were included in the analysis, including 74 591 persons during 2014-2015 and 73 836 persons during 2019-2020. In 2019-2020, the pulmonary function testing rate in Chinese residents aged ≥40 years was 6.7% (95%CI: 5.2%-8.2%), the rate in men (8.1%, 95%CI: 6.7%-9.6%) was higher than that in women (5.4%, 95%CI: 3.7%- 7.0%), and the rate in urban residents (8.3%, 95%CI: 6.1%-10.5%) was higher than that in rural residents (4.4%, 95%CI: 3.8%-5.1%). The rate of pulmonary function testing increased with the increase of education level. During 2019-2020, the residents with history of chronic respiratory diseases had the highest rate of pulmonary function testing (21.2%, 95%CI: 16.8%-25.7%), followed by the residents with respiratory symptoms (15.1%, 95%CI: 11.8%-18.4%) , the pulmonary function testing rate in those who knew the name of chronic respiratory disease was higher than that in those who did not knew the name of respiratory disease, and the pulmonary function testing rate in former smokers was higher than that in current smokers and non-smokers. Those exposed to occupational dust and/or harmful gases had a higher rate of pulmonary function testing compared with those who were not exposed, and those who used polluted fuels indoors had a lower rate of pulmonary function testing than those who did not use polluted fuels indoors (all P<0.05). Compared with 2014-2015, the pulmonary function testing rate in residents aged ≥40 years in China increased by 1.9 percentage points during 2019-2020, and the rate of pulmonary function testing in groups with different characteristics all increased, and the rates of pulmonary function testing increased by 7.4 percentage points and 7.1 percentage points in residents with respiratory symptoms and in those with history of chronic respiratory diseases (all P<0.05). Conclusions: Compared with 2014-2015, the rate of pulmonary function testing increased in China during 2019-2020 and the increase in residents with history of chronic respiratory diseases and respiratory symptoms was relatively obvious, but the overall pulmonary function testing rate was still at a low level. Effective measures should be taken to further increase the rate of pulmonary function testing.
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Affiliation(s)
- H Tong
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - S Cong
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L W Fang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Fan
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - N Wang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Q Q Zhao
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Wu
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Zhao QQ, Cong S, Fan J, Wang N, Wang WJ, Wu J, Fang LW. [Prevalence of smoking in adults aged 40 years and above in China, 2019-2020]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:735-742. [PMID: 37221061 DOI: 10.3760/cma.j.cn112338-20230119-00035] [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: 05/25/2023]
Abstract
Objective: To understand the prevalence of smoking and its change in adults aged ≥40 years in China and provide evidence for the development of chronic obstructive pulmonary disease (COPD) prevention and control strategies. Methods: The data of this study were obtained from COPD surveillance in China during 2014-2015 and during 2019-2020. The surveillance covered 31 provinces (autonomous regions and municipalities). A multi-stage stratified cluster random sampling were used to select residents aged ≥40 years, and face-to-face interviews were conducted to collect the information about their tobacco use. After complex sampling weighting of the samples, the current smoking rate, average age to start smoking and average daily cigarette consumption of people with different characteristics during 2019-2020 were estimated, and the changes in the current smoking rate and average daily cigarette consumption were analyzed from 2014-2015 to 2019-2020. Results: During 2019-2020, the current smoking rate in adults aged ≥40 years was 27.2%, and the rate was much higher in men (52.1%) than in women (2.5%).The average age of the smokers to start smoking was 20.0 years old, and men usually started smoking at younger age (19.6 years) compared with women (27.9 years). The average daily cigarette consumption of daily smokers was 18.0 sticks, and the consumption of men (18.3 cigarettes) was higher than that of women (11.1 cigarettes). Compared with the surveillance results during 2014-2015, the current smoking rate had decreased by 2.8 percentage points in the general population, 4.1 percentage points in males, 1.6 percentage points in females, and the urban and rural areas fell by 3.1 percentage points and 2.5 percentage points, respectively. The average daily cigarette consumption decreased by 0.6 sticks. Conclusions: In recent years, the current smoking rate and average daily cigarette consumption in adults aged ≥40 years decreased in China, but smoking is still common in more than quarter of this population and more than half of men aged ≥40 years. It is necessary to take targeted tobacco control measures based on population and regional characteristics to further reduce the smoking level of the population.
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Affiliation(s)
- Q Q Zhao
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - S Cong
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Fan
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - N Wang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - W J Wang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - J Wu
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L W Fang
- National Center for Chronic and Non-communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Guo XJ, Xu YQ, Wang N, Zhou SQ, Zhang X, Tong ML. [Phonological processes in initial consonants of Putonghua in children in Jiangsu urban areas]. Zhonghua Er Ke Za Zhi 2023; 61:434-439. [PMID: 37096263 DOI: 10.3760/cma.j.cn112140-20221024-00901] [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: 04/26/2023]
Abstract
Objective: To explore the phonological processes in initial consonants of Putonghua-speaking children in Jiangsu urban areas. Methods: A status survey was applied. From December 2014 to September 2015, a stratified random sampling method was used to select 958 children aged 1 to 6 years with Putonghua as their mother tongue in the urban area of Nanjing, Changzhou, Yangzhou and Xuzhou to examine their phonological performance. Speech samples were collected by the method of picture naming. The children were divided into 9 age groups (1.5-<2.0, 2.0-<2.5, 2.5-<3.0, 2.5-<3.0, 3.0-<3.5, 3.5-<4.0, 4.0-<4.5, 5.0-<6.0, 6.0-<7.0 years). Descriptive analysis method was used to analyze the phonological processes in initial consonants at different age groups. Results: Among the 958 children, there were 482 boys and 476 girls. The age of the children was (3.8±1.4) years. The number of children in the 9 age groups (1.5-<2.0, 2.0-<2.5, 2.5-<3.0, 2.5-<3.0, 3.0-<3.5, 3.5-<4.0, 4.0-<4.5, 5.0-<6.0, 6.0-<7.0 years) is 100, 110, 110, 114, 114, 114, 111, 119, and 66, separately. The process of substitution was found in the speech of 701 children (73.2%), syllable structure simplification was found in 194 children (20.3%), distortion was found in 41 children (4.3%), and assimilation was found in 17 children (1.8%). Among these 4 types of processes, the occurrence of substitution was highest in all the age groups, ranging from 30.3% (20/66) to 94.5% (104/110). The occurrence of syllable structure simplification ranged from 27.3% (30/110) to 91.0% (91/100) in the age groups of 1.5-<3.0 years and 0.9% (1/114) to 7.9% (9/114) in the age groups of 3.0-<7.0 years. The occurrence of distortion ranged from 7.3% (8/110) to 19.1% (21/110) in the age groups of 1.5-<3.0 years and 0 (0/114) to 2.7% (3/111) in the age groups of 3.0-<7.0 years. The occurrence of assimilation was very low in all age groups, ranging from 0 (0/114) to 3.0% (3/100) among all age groups. For substitution, the occurrence order of mainly individual processes from high to low was listed as follows: retroflexion 35.4% (339/958), deretroflexion 31.6% (303/958), lateralization 27.9% (267/958), stopping 17.8% (171/958), backing 14.2% (136/958), palatalization 10.9% (104/958), fronting 10.6% (102/958), and nasalization 5.8% (56/958). From the 4.0-<4.5 years of age group onwards, the phonological processes in initial consonants all met suppression criteria (the occurrence of processes was reduced to<10%) except retroflexion, deretroflexion, and lateralization. Conclusions: The processes of syllable structure simplification and distortion mainly appears in the early stage of speech sound development, while substitution is the major form of phonological pattern in initial consonants found in developmental speech errors. By 4 years of age, phonological processes in initial consonants almost disappear. The remaining processes that persisted for a longer period of time are retroflexion, deretroflexion, and lateralization.
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Affiliation(s)
- X J Guo
- Department of Child Health Care, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Y Q Xu
- Department of Child Health Care, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - N Wang
- Department of Pediatrics, Nanjing Medical University, Nanjing 210029, China
| | - S Q Zhou
- Department of Pediatrics, Nanjing Medical University, Nanjing 210029, China
| | - X Zhang
- Department of Child Health Care, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - M L Tong
- Department of Child Health Care, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
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Fang FS, Wang N, Sun J, Liu XY, Wang W, Sun BR, Gu ZY, Fu XM, Li H, Yan ST. [Analyze of the correlation and corresponding value of serum C-peptide and insulin in adult population]. Zhonghua Yi Xue Za Zhi 2023; 103:1127-1133. [PMID: 37055230 DOI: 103760/cma.j.cn112137-20220920-01987] [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: 04/15/2023]
Abstract
Objective: To investigate the correlation between serum C-peptide and in adult population, and establish the corresponding insulin values of serum C-peptide levels. Methods: Cross-sectional study. The clinical data of the adults who underwent physical examination in the Second Medical Center of PLA General Hospital from January 2017 to December 2021 were retrospectively included. The participants were divided into type 2 diabetes group, prediabetes group and normal plasma glucose group according to the diagnostic criteria for diabetes. The correlation between serum C-peptide and insulin was explored by Pearson correlation analysis, linear regression analysis, and nonlinear regression analysis, and the corresponding insulin values of serum C-peptide were established. Results: A total of 48 008 adults were enrolled, including 31 633 males (65.9%) and 16 375 females (34.1%), aged (50.1±9.9) years (18-89 years). There were 8 160 subjects (17.0%) with type 2 diabetes, 13 263 subjects (27.6%) with prediabetes, and 26 585 subjects (55.4%) with normal plasma glucose. The serum fasting C-peptide (FCP, M(Q1, Q3)] of the three groups were 2.76(2.18, 3.47), 2.54(1.99, 3.21) and 2.18(1.71, 2.79)μg/L, respectively. The fasting insulin [FINS, M(Q1,Q3)] of the three groups were 10.98(7.57, 16.09), 10.06(6.95, 14.47) and 8.43(5.86,12.12)mU/L, respectively. FCP was positively correlated with FINS (r=0.82), and 2 h postprandial C-peptide (2 h CP) was positively correlated with 2 h postprandial insulin (2 h INS) (r=0.84) (both P<0.001). FCP was linearly associated with FINS (R2=0.68), and 2 h CP was linearly associated with 2 h INS (R2=0.71) (both P<0.001). There was a power function correlation between FCP and FINS (R2=0.74), and 2 h CP and 2 h INS (R2=0.78) (both P<0.001). The results of the statistical analysis were similar in various glucose metabolism subgroups. Since the fitting degree of the power function model was higher than that of the linear model, the power function model was the best model. The power function equation was FINS=2.96×FCP1.32, and 2 h INS=1.64×(2 h CP)1.60, respectively. Multivariate linear regression analysis demonstrated that FCP was a related factor of FINS (R2=0.70, P<0.001) and 2 h CP was a related factor of 2 h INS (R2=0.73, P<0.001), after adjusting for related confounders. Conclusions: There was a power function correlation between FCP and FINS, 2 h CP and 2 h INS in adult population. The insulin values corresponding to C-peptide levels were established in the study.
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Affiliation(s)
- F S Fang
- Department of Health Care, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - N Wang
- Department of Health Management, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - J Sun
- Department of Health Management, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - X Y Liu
- Department of Health Care, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - W Wang
- Department of Health Care, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - B R Sun
- Department of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Z Y Gu
- Department of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - X M Fu
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - H Li
- Department of Health Management, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - S T Yan
- Department of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Qi XT, Zheng LY, Fu L, Zhang WY, Wang N, Chen XY, Lu Y. [Protective effect of anti-idiopathic pulmonary fibrosis drug Pirfenidone and Sufenidone (SC1011) on pulmonary injury induced by tuberculosis in a mouse tuberculosis model]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:388-395. [PMID: 36990703 DOI: 10.3760/cma.j.cn112147-20220914-00758] [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: 03/31/2023]
Abstract
Objective: To evaluate the protective effect of anti-idiopathic pulmonary fibrosis (IPF) marketed drug Pirfenidone and its clinical drug Sufenidone (SC1011) against lung injury in a mouse tuberculosis model. Methods: C57BL/6 mouse model of tuberculosis was established. A total of 75 C57BL/6 mice were infected with 1×107 CFU/ml H37Rv suspension by aerosol and randomly divided into untreated (n=9) group, isoniazid+rifampicin+pyrazinamide (HRZ) group (n=22), PFD+HRZ group (n=22), and SC1011+HRZ group (n=22). C57BL/6 mice were infected with H37Rv by aerosol for 6 weeks and then treated. Seven mice in each treatment group were weighed, sacrificed, dissected and observed for lung and spleen lesions at 4 and 8 weeks of treatment. HE staining and Masson staining were used to assess degree of lung injury and fibrosis, respectively. ELISA was used to assess the IFN-γ/TNF-α content in the serum of mice in each treatment group after 4 weeks of treatment. Hydroxyproline (HYP) content in lung tissue was measured by alkaline hydrolysis; meanwhile, CFU counts were used to assess the bacterial load in the lung and spleen of mice in each treatment group and the recurrence of spleen and lung tissue after 12 weeks of drug withdrawal. Results: At 8 weeks, the HYP content in the lung tissue was (630±58), (635±17), and (840±70) μg/mg in the PFD+HRZ, SC1011+HRZ, and HRZ treatment group, respectively (P<0.05).At 8 weeks, the proportion of Masson staining blue-stained area, that was, positive area, in lung tissue was 16.65%±1.82%, 10.01%±2.16%, and 21.36%±3.21%, respectively (F=27.11, P<0.001).The lung injury scores by HE staining at 8 weeks were (5.00±0.50), (5.00±0.47), and (6.89±0.99) points, respectively (F=19.81, P<0.001).The results of 4-week ELISA showed that the levels of TNF-α and IFN-γ in the serum of the SC1011+HRZ-treated group were lower than those of the HRZ-treated group (all P<0.05).The degree of lung injury and fibrosis in PFD+HRZ and SC1011+HRZ treatment groups were lower than those in HRZ treatment group (all P<0.001). The number of viable bacteria in the lung tissue of mice treated with PFD+HRZ, SC1011+HRZ, and HRZ for 4 weeks was lower than that of mice untreated [(1.82±0.10), (1.91±0.05), (1.79±0.17) vs. (5.27±0.07) lg(CFU+1)/ml, all P<0.05)]. And the aseptic transformation of the spleen of mice was achieved in each treatment group at 8 weeks of administration. After 12 weeks of drug withdrawal, the recurrence of lung infection in the SC1011+HRZ treatment group was 3/7 lower than 5/7 in the HRZ treatment group (P>0.05); the recurrence of spleen infection in the SC1011+HRZ treatment group was 1/7 lower than 5/7 in the HRZ treatment group (P>0.05).Pulmonary infection recurred more frequently in PFD+HRZ 6/7 versus HRZ 5/7 (P>0.05). Conclusions: PFD/SC1011, when combined with HRZ, reduced lung injury and reduced secondary fibrosis in pulmonary tuberculosis in C57BL/6 mice. SC1011 combined with HRZ has no significant short-term therapeutic effect on MTB, but may reduce its recurrence rate in long-term treatment, especially in reducing the recurrence rate of mouse spleen.
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Affiliation(s)
- X T Qi
- Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Department of Pharmacology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - L Y Zheng
- Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Department of Pharmacology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - L Fu
- Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Department of Pharmacology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - W Y Zhang
- Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Department of Pharmacology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - N Wang
- Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Department of Pharmacology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - X Y Chen
- Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Y Lu
- Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Department of Pharmacology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
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Fang FS, Wang N, Sun J, Sun BR, Liu XY, Wang W, Gu ZY, Fu XM, Li H, Yan ST. [Relationship between hemoglobin and serum uric acid in adults with various glucose metabolism status]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:516-521. [PMID: 37032161 DOI: 10.3760/cma.j.cn112150-20221006-00960] [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: 04/11/2023]
Abstract
Objective: To investigate the relationship between hemoglobin and serum uric acid in adults with various glucose metabolism status. Methods: The demographic data and biochemical indicators of the adult population who had received physical examination in the Second Medical Center of the PLA General Hospital from January 2018 to December 2021 were collected. The subjects were divided into two groups according to the level of serum uric acid: the normal uric acid group and the hyperuricemia group. The relationship between hemoglobin (stratified into four levels of Q1 to Q4 by the quartile) and serum uric acid was quantified by using Pearson correlation and logistic regression analysis. The effects of age and glucose metabolism status on the relationship between hemoglobin and serum uric acid were analyzed. Results: A total of 33 183 adults were enrolled with age (50.6±10.0) years. The level of hemoglobin in the normal uric acid group (142.61±14.24) g/L was significantly lower than that in the hyperuricemia group [(151.79±11.24) g/L, P<0.001]. Univariate Pearson correlation analysis showed that hemoglobin was positively associated with serum uric acid (r=0.444, P<0.001). After adjusting for related confounding factors, multivariate logistic regression analysis showed that hemoglobin was associated with serum uric acid, and the OR values (95%CI) of hemoglobin Q2 to Q4 group were 1.29 (1.13-1.48), 1.42 (1.24-1.62) and 1.51 (1.32-1.72), respectively (Ptrend<0.001) when compared with hemoglobin Q1 group. Subgroup analysis and hierarchical interaction analysis suggested that with the increase of hemoglobin, the serum uric acid in the age<60 years subgroup, normal glucose subgroup and prediabetes subgroup increased gradually (Ptrend<0.05 and Pinteraction<0.001). Conclusion: The association between hemoglobin and serum uric acid in adults is affected by age and glucose metabolism status.
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Affiliation(s)
- F S Fang
- Department of Health Care, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - N Wang
- Department of Health Management, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - J Sun
- Department of Health Management, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - B R Sun
- Department of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - X Y Liu
- Department of Health Care, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - W Wang
- Department of Health Care, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Z Y Gu
- Department of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - X M Fu
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - H Li
- Department of Health Management, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - S T Yan
- Department of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Girardi F, Matz M, Stiller C, You H, Marcos Gragera R, Valkov MY, Bulliard JL, De P, Morrison D, Wanner M, O'Brian DK, Saint-Jacques N, Coleman MP, Allemani C, Hamdi-Chérif M, Kara L, Meguenni K, Regagba D, Bayo S, Cheick Bougadari T, Manraj SS, Bendahhou K, Ladipo A, Ogunbiyi OJ, Somdyala NIM, Chaplin MA, Moreno F, Calabrano GH, Espinola SB, Carballo Quintero B, Fita R, Laspada WD, Ibañez SG, Lima CA, Da Costa AM, De Souza PCF, Chaves J, Laporte CA, Curado MP, de Oliveira JC, Veneziano CLA, Veneziano DB, Almeida ABM, Latorre MRDO, Rebelo MS, Santos MO, Azevedo e Silva G, Galaz JC, Aparicio Aravena M, Sanhueza Monsalve J, Herrmann DA, Vargas S, Herrera VM, Uribe CJ, Bravo LE, Garcia LS, Arias-Ortiz NE, Morantes D, Jurado DM, Yépez Chamorro MC, Delgado S, Ramirez M, Galán Alvarez YH, Torres P, Martínez-Reyes F, Jaramillo L, Quinto R, Castillo J, Mendoza M, Cueva P, Yépez JG, Bhakkan B, Deloumeaux J, Joachim C, Macni J, Carrillo R, Shalkow Klincovstein J, Rivera Gomez R, Perez P, Poquioma E, Tortolero-Luna G, Zavala D, Alonso R, Barrios E, Eckstrand A, Nikiforuk C, Woods RR, Noonan G, Turner D, Kumar E, Zhang B, Dowden JJ, Doyle GP, Saint-Jacques N, Walsh G, Anam A, De P, McClure CA, Vriends KA, Bertrand C, Ramanakumar AV, Davis L, Kozie S, Freeman T, George JT, Avila RM, O’Brien DK, Holt A, Almon L, Kwong S, Morris C, Rycroft R, Mueller L, Phillips CE, Brown H, Cromartie B, Ruterbusch J, Schwartz AG, Levin GM, Wohler B, Bayakly R, Ward KC, Gomez SL, McKinley M, Cress R, Davis J, Hernandez B, Johnson CJ, Morawski BM, Ruppert LP, Bentler S, Charlton ME, Huang B, Tucker TC, Deapen D, Liu L, Hsieh MC, Wu XC, Schwenn M, Stern K, Gershman ST, Knowlton RC, Alverson G, Weaver T, Desai J, Rogers DB, Jackson-Thompson J, Lemons D, Zimmerman HJ, Hood M, Roberts-Johnson J, Hammond W, Rees JR, Pawlish KS, Stroup A, Key C, Wiggins C, Kahn AR, Schymura MJ, Radhakrishnan S, Rao C, Giljahn LK, Slocumb RM, Dabbs C, Espinoza RE, Aird KG, Beran T, Rubertone JJ, Slack SJ, Oh J, Janes TA, Schwartz SM, Chiodini SC, Hurley DM, Whiteside MA, Rai S, Williams MA, Herget K, Sweeney C, Kachajian J, Keitheri Cheteri MB, Migliore Santiago P, Blankenship SE, Conaway JL, Borchers R, Malicki R, Espinoza J, Grandpre J, Weir HK, Wilson R, Edwards BK, Mariotto A, Rodriguez-Galindo C, Wang N, Yang L, Chen JS, Zhou Y, He YT, Song GH, Gu XP, Mei D, Mu HJ, Ge HM, Wu TH, Li YY, Zhao DL, Jin F, Zhang JH, Zhu FD, Junhua Q, Yang YL, Jiang CX, Biao W, Wang J, Li QL, Yi H, Zhou X, Dong J, Li W, Fu FX, Liu SZ, Chen JG, Zhu J, Li YH, Lu YQ, Fan M, Huang SQ, Guo GP, Zhaolai H, Wei K, Chen WQ, Wei W, Zeng H, Demetriou AV, Mang WK, Ngan KC, Kataki AC, Krishnatreya M, Jayalekshmi PA, Sebastian P, George PS, Mathew A, Nandakumar A, Malekzadeh R, Roshandel G, Keinan-Boker L, Silverman BG, Ito H, Koyanagi Y, Sato M, Tobori F, Nakata I, Teramoto N, Hattori M, Kaizaki Y, Moki F, Sugiyama H, Utada M, Nishimura M, Yoshida K, Kurosawa K, Nemoto Y, Narimatsu H, Sakaguchi M, Kanemura S, Naito M, Narisawa R, Miyashiro I, Nakata K, Mori D, Yoshitake M, Oki I, Fukushima N, Shibata A, Iwasa K, Ono C, Matsuda T, Nimri O, Jung KW, Won YJ, Alawadhi E, Elbasmi A, Ab Manan A, Adam F, Nansalmaa E, Tudev U, Ochir C, Al Khater AM, El Mistiri MM, Lim GH, Teo YY, Chiang CJ, Lee WC, Buasom R, Sangrajrang S, Suwanrungruang K, Vatanasapt P, Daoprasert K, Pongnikorn D, Leklob A, Sangkitipaiboon S, Geater SL, Sriplung H, Ceylan O, Kög I, Dirican O, Köse T, Gurbuz T, Karaşahin FE, Turhan D, Aktaş U, Halat Y, Eser S, Yakut CI, Altinisik M, Cavusoglu Y, Türkköylü A, Üçüncü N, Hackl M, Zborovskaya AA, Aleinikova OV, Henau K, Van Eycken L, Atanasov TY, Valerianova Z, Šekerija M, Dušek L, Zvolský M, Steinrud Mørch L, Storm H, Wessel Skovlund C, Innos K, Mägi M, Malila N, Seppä K, Jégu J, Velten M, Cornet E, Troussard X, Bouvier AM, Guizard AV, Bouvier V, Launoy G, Dabakuyo Yonli S, Poillot ML, Maynadié M, Mounier M, Vaconnet L, Woronoff AS, Daoulas M, Robaszkiewicz M, Clavel J, Poulalhon C, Desandes E, Lacour B, Baldi I, Amadeo B, Coureau G, Monnereau A, Orazio S, Audoin M, D’Almeida TC, Boyer S, Hammas K, Trétarre B, Colonna M, Delafosse P, Plouvier S, Cowppli-Bony A, Molinié F, Bara S, Ganry O, Lapôtre-Ledoux B, Daubisse-Marliac L, Bossard N, Uhry Z, Estève J, Stabenow R, Wilsdorf-Köhler H, Eberle A, Luttmann S, Löhden I, Nennecke AL, Kieschke J, Sirri E, Justenhoven C, Reinwald F, Holleczek B, Eisemann N, Katalinic A, Asquez RA, Kumar V, Petridou E, Ólafsdóttir EJ, Tryggvadóttir L, Murray DE, Walsh PM, Sundseth H, Harney M, Mazzoleni G, Vittadello F, Coviello E, Cuccaro F, Galasso R, Sampietro G, Giacomin A, Magoni M, Ardizzone A, D’Argenzio A, Di Prima AA, Ippolito A, Lavecchia AM, Sutera Sardo A, Gola G, Ballotari P, Giacomazzi E, Ferretti S, Dal Maso L, Serraino D, Celesia MV, Filiberti RA, Pannozzo F, Melcarne A, Quarta F, Andreano A, Russo AG, Carrozzi G, Cirilli C, Cavalieri d’Oro L, Rognoni M, Fusco M, Vitale MF, Usala M, Cusimano R, Mazzucco W, Michiara M, Sgargi P, Boschetti L, Marguati S, Chiaranda G, Seghini P, Maule MM, Merletti F, Spata E, Tumino R, Mancuso P, Cassetti T, Sassatelli R, Falcini F, Giorgetti S, Caiazzo AL, Cavallo R, Piras D, Bella F, Madeddu A, Fanetti AC, Maspero S, Carone S, Mincuzzi A, Candela G, Scuderi T, Gentilini MA, Rizzello R, Rosso S, Caldarella A, Intrieri T, Bianconi F, Contiero P, Tagliabue G, Rugge M, Zorzi M, Beggiato S, Brustolin A, Gatta G, De Angelis R, Vicentini M, Zanetti R, Stracci F, Maurina A, Oniščuka M, Mousavi M, Steponaviciene L, Vincerževskienė I, Azzopardi MJ, Calleja N, Siesling S, Visser O, Johannesen TB, Larønningen S, Trojanowski M, Macek P, Mierzwa T, Rachtan J, Rosińska A, Kępska K, Kościańska B, Barna K, Sulkowska U, Gebauer T, Łapińska JB, Wójcik-Tomaszewska J, Motnyk M, Patro A, Gos A, Sikorska K, Bielska-Lasota M, Didkowska JA, Wojciechowska U, Forjaz de Lacerda G, Rego RA, Carrito B, Pais A, Bento MJ, Rodrigues J, Lourenço A, Mayer-da-Silva A, Coza D, Todescu AI, Valkov MY, Gusenkova L, Lazarevich O, Prudnikova O, Vjushkov DM, Egorova A, Orlov A, Pikalova LV, Zhuikova LD, Adamcik J, Safaei Diba C, Zadnik V, Žagar T, De-La-Cruz M, Lopez-de-Munain A, Aleman A, Rojas D, Chillarón RJ, Navarro AIM, Marcos-Gragera R, Puigdemont M, Rodríguez-Barranco M, Sánchez Perez MJ, Franch Sureda P, Ramos Montserrat M, Chirlaque López MD, Sánchez Gil A, Ardanaz E, Guevara M, Cañete-Nieto A, Peris-Bonet R, Carulla M, Galceran J, Almela F, Sabater C, Khan S, Pettersson D, Dickman P, Staehelin K, Struchen B, Egger Hayoz C, Rapiti E, Schaffar R, Went P, Mousavi SM, Bulliard JL, Maspoli-Conconi M, Kuehni CE, Redmond SM, Bordoni A, Ortelli L, Chiolero A, Konzelmann I, Rohrmann S, Wanner M, Broggio J, Rashbass J, Stiller C, Fitzpatrick D, Gavin A, Morrison DS, Thomson CS, Greene G, Huws DW, Grayson M, Rawcliffe H, Allemani C, Coleman MP, Di Carlo V, Girardi F, Matz M, Minicozzi P, Sanz N, Ssenyonga N, James D, Stephens R, Chalker E, Smith M, Gugusheff J, You H, Qin Li S, Dugdale S, Moore J, Philpot S, Pfeiffer R, Thomas H, Silva Ragaini B, Venn AJ, Evans SM, Te Marvelde L, Savietto V, Trevithick R, Aitken J, Currow D, Fowler C, Lewis C. Global survival trends for brain tumors, by histology: analysis of individual records for 556,237 adults diagnosed in 59 countries during 2000-2014 (CONCORD-3). Neuro Oncol 2023; 25:580-592. [PMID: 36355361 PMCID: PMC10013649 DOI: 10.1093/neuonc/noac217] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Survival is a key metric of the effectiveness of a health system in managing cancer. We set out to provide a comprehensive examination of worldwide variation and trends in survival from brain tumors in adults, by histology. METHODS We analyzed individual data for adults (15-99 years) diagnosed with a brain tumor (ICD-O-3 topography code C71) during 2000-2014, regardless of tumor behavior. Data underwent a 3-phase quality control as part of CONCORD-3. We estimated net survival for 11 histology groups, using the unbiased nonparametric Pohar Perme estimator. RESULTS The study included 556,237 adults. In 2010-2014, the global range in age-standardized 5-year net survival for the most common sub-types was broad: in the range 20%-38% for diffuse and anaplastic astrocytoma, from 4% to 17% for glioblastoma, and between 32% and 69% for oligodendroglioma. For patients with glioblastoma, the largest gains in survival occurred between 2000-2004 and 2005-2009. These improvements were more noticeable among adults diagnosed aged 40-70 years than among younger adults. CONCLUSIONS To the best of our knowledge, this study provides the largest account to date of global trends in population-based survival for brain tumors by histology in adults. We have highlighted remarkable gains in 5-year survival from glioblastoma since 2005, providing large-scale empirical evidence on the uptake of chemoradiation at population level. Worldwide, survival improvements have been extensive, but some countries still lag behind. Our findings may help clinicians involved in national and international tumor pathway boards to promote initiatives aimed at more extensive implementation of clinical guidelines.
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Affiliation(s)
- Fabio Girardi
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.,Division of Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Melissa Matz
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
| | - Charles Stiller
- National Cancer Registration and Analysis Service, Public Health England, London, UK
| | - Hui You
- Cancer Information Analysis Unit, Cancer Institute NSW, St Leonards, New South Wales, Australia
| | - Rafael Marcos Gragera
- Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona, Spain
| | - Mikhail Y Valkov
- Department of Radiology, Radiotherapy and Oncology, Northern State Medical University, Arkhangelsk, Russia
| | - Jean-Luc Bulliard
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.,Neuchâtel and Jura Tumour Registry, Neuchâtel, Switzerland
| | - Prithwish De
- Surveillance and Cancer Registry, and Research Office, Clinical Institutes and Quality Programs, Ontario Health, Toronto, Ontario, Canada
| | - David Morrison
- Scottish Cancer Registry, Public Health Scotland, Edinburgh, UK
| | - Miriam Wanner
- Cancer Registry Zürich, Zug, Schaffhausen and Schwyz, University Hospital Zürich, Zürich, Switzerland
| | - David K O'Brian
- Alaska Cancer Registry, Alaska Department of Health and Social Services, Anchorage, Alaska, USA
| | - Nathalie Saint-Jacques
- Department of Medicine and Community Health and Epidemiology, Centre for Clinical Research, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Michel P Coleman
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK
| | - Claudia Allemani
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
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Tang G, Wang N, Feng Y. WCN23-0546 RENAL HERB FORMULA PROTECTS AGAINST HYPERURICEMIC NEPHROPATHY BY INHIBITING APOPTOSIS AND INFLAMMATION. Kidney Int Rep 2023. [DOI: 10.1016/j.ekir.2023.02.073] [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: 03/22/2023] Open
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Li F, Yang G, Zeng M, Huang H, Ye X, Xing C, Tang S, Zhang J, Jiang Y, Chen H, Yin C, Zhang L, Huang Y, Zha X, Wang N. WCN23-0302 RELATIONSHIP BETWEEN BLOOD BONE METABOLIC BIOMARKERS AND ANEMIA IN CKD PATIENTS. Kidney Int Rep 2023. [DOI: 10.1016/j.ekir.2023.02.315] [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: 03/22/2023] Open
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Li F, Zeng M, Ouyang C, Liu J, Ning S, Cui H, Yuan Y, Su Z, Zhou J, Liu W, Wang L, Wang X, Xing C, Qin L, Wang N. WCN23-0614 HUMAN AMNION-DERIVED MESENCHYMAL STEM CELL TREATMENT FOR A MALE UREMIC CALCIPHYLAXIS PATIENT WITH MULTISYSTEM ANGIOPATHY. Kidney Int Rep 2023. [DOI: 10.1016/j.ekir.2023.02.486] [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: 03/22/2023] Open
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Affiliation(s)
- T Zhu
- From the Department of Digestive Disease, Weinan Central Hospital, Weinan, Shaanxi 714000, China
| | - H Lei
- Department of Anesthesiology, Weinan Central Hospital, Weinan, Shaanxi 714000, China
| | - Y-H Wang
- From the Department of Digestive Disease, Weinan Central Hospital, Weinan, Shaanxi 714000, China
| | - L-P Liu
- From the Department of Digestive Disease, Weinan Central Hospital, Weinan, Shaanxi 714000, China
| | - Y-L Lei
- From the Department of Digestive Disease, Weinan Central Hospital, Weinan, Shaanxi 714000, China
| | - N Wang
- From the Department of Digestive Disease, Weinan Central Hospital, Weinan, Shaanxi 714000, China
| | - Y-H Zheng
- Department of Hematology, Tangdu Hospital, Fourth Military Medical University, Clinical Medicine Research Center for Hematologic Disease of Shaanxi Province, Xi'an, Shaanxi 710038, China
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Zhang XR, Meng HT, Shi JF, Wang N, Wang ZY, Zhang B, Zhu BF, Guo YX. Efficiency evaluation of common forensic genetic markers for parentage identification involving close relatives. Forensic Sci Int 2023; 345:111594. [PMID: 36871533 DOI: 10.1016/j.forsciint.2023.111594] [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: 11/25/2022] [Revised: 01/29/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023]
Abstract
To explore the efficacy of commonly used forensic identification panels in complex paternity testing of trios that involved close relatives, we wrote a code by R to generate 10,000 pedigrees at 20 CODIS STR, 21 non-CODIS STR and 30 InDel loci in Chinese five ethnic groups based on their allele frequencies. Parentage identification index--cumulative paternity index (CPI) value was set as output and was further analyzed to evaluate the performance of the aforementioned panels in complex paternity testing when the alleged parent is a random individual, biological parent, grandparent, sibling of biological parent, half-sibling of biological parent, etc. The results showed that the false inclusion of parent sibling posed as parent demonstrated no statistically significant difference from that of grandparent posed as parent. The scenarios where both biological parent and alleged parent were consanguineous to the other parent were also simulated. The results revealed that the complexity of paternity testing would raise when biological parents were consanguineous and the alleged parent was a close relative of theirs. Despite the values of non-conformity number could vary in different genetic relationships, populations and panels, 20 CODIS STRs and 21 non-CODIS STRs performed satisfactorily in most simulated scenarios. However, the joint use of 20 CODIS STRs and 21 non-CODIS STRs is more recommendable when resolving the paternity testing of the incest mating case. Overall, the current study could be regarded as a worthwhile reference in complex paternity testing of trios that involved close relatives.
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Affiliation(s)
- X R Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; College of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an 710004, China
| | - H T Meng
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - J F Shi
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - N Wang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - Z Y Wang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - B Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - B F Zhu
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
| | - Y X Guo
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China.
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Li Y, Lu X, Chen L, Zhang Q, Wang N, Wang J, Lin L, Hu G, Zhang Y, Liu A. Identification of ovarian endometriotic cysts in cystic lesions of the ovary by amide proton transfer-weighted imaging and R2∗ mapping. Clin Radiol 2023; 78:e106-e112. [PMID: 36334944 DOI: 10.1016/j.crad.2022.09.117] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 09/07/2022] [Accepted: 09/13/2022] [Indexed: 11/06/2022]
Abstract
AIM To investigate the value of amide proton transfer weighted (APTw) imaging and R2∗ mapping of cystic fluid in differentiating ovarian endometriotic cysts (OE) from other ovarian cystic (OOC) lesions. MATERIALS AND METHODS A total of 42 patients who underwent 3 T pelvic magnetic resonance imaging (MRI) were enrolled. Nineteen lesions were OE and 27 lesions were OOC. The APTw imaging and R2∗ values of the cystic fluid were measured and compared between the two groups using the independent sample t-test or Mann-Whitney U-test. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of different parameters. The area under ROC curves (AUCs) was compared using the Delong test. Spearman's correlation analysis was used to assess the correlation between APTw imaging and R2∗ values. RESULTS APTw imaging values of OE were lower, while R2∗ values were higher in OE than those in OOC (p=0.001 and < 0.001). The AUCs of APTw imaging and R2∗ values to identify OE from OOC were 0.910 and 0.975. The AUC increased to 0.990 when combining APTw imaging and R2∗ values, yet without a significant difference to the APTw imaging or R2∗ value alone (p=0.229 and 0.082, respectively). APTw imaging values were negatively correlated with R2∗ values (r=-0.522, p<0.001). CONCLUSION Both APTw imaging and R2∗ values of OE are significantly different from other ovarian cystic lesions. APTw imaging combined with R2∗ values show excellent diagnostic efficacy to differentiate between OE and OOC.
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Affiliation(s)
- Y Li
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - X Lu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - L Chen
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Q Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - N Wang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - J Wang
- Philips Healthcare, Beijing, China
| | - L Lin
- Philips Healthcare, Beijing, China
| | - G Hu
- Philips Healthcare, Beijing, China
| | - Y Zhang
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - A Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
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