1
|
Jia WL, Zhang M, Gao FZ, Bai H, He LX, He LY, Liu T, Han Y, Ying GG. Antibiotic resistome in landfill leachate and impact on groundwater. Sci Total Environ 2024; 927:171991. [PMID: 38547976 DOI: 10.1016/j.scitotenv.2024.171991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/14/2024] [Accepted: 03/24/2024] [Indexed: 04/08/2024]
Abstract
Landfill leachate is a hotspot in antibiotic resistance development. However, little is known about antibiotic resistome and host pathogens in leachate and their effects on surrounding groundwater. Here, metagenomic sequencing was used to explore profiles, host bacteria, environmental risks and influencing factors of antibiotic resistome in raw and treated leachate and surrounding groundwater of three landfills. Results showed detection of a total of 324 antibiotic resistance genes (ARGs). The ARGs conferring resistance to multidrug (8.8 %-25.7 %), aminoglycoside (13.1 %-39.2 %), sulfonamide (10.0 %-20.9 %), tetracycline (5.7 %-34.4 %) and macrolide-lincosamide-streptogramin (MLS, 5.3 %-29.5 %) were dominant in raw leachate, while multidrug resistance genes were the major ARGs in treated leachate (64.1 %-83.0 %) and groundwater (28.7 %-76.6 %). Source tracking analysis suggests non-negligible influence of leachate on the ARGs in groundwater. The pathogens including Acinetobacter pittii, Pseudomonas stutzeri and P. alcaligenes were the major ARG-carrying hosts. Variance partitioning analysis indicates that the microbial community, abiotic variables and their interaction contributed most to the antibiotic resistance development. Our results shed light on the dissemination and driving mechanisms of ARGs from leachate to the groundwater, indicating that a comprehensive risk assessment and efficient treatment approaches are needed to deal with ARGs in landfill leachate and nearby groundwater. ENVIRONMENTAL IMPLICATIONS: Antibiotic resistance genes are found abundant in the landfill sites, and these genes could be disseminated into groundwater via leaching of wastewater and infiltration of leachate. This results in deterioration of groundwater quality and human health risks posed by these ARGs and related pathogens. Thus measures should be taken to minimize potential negative impacts of landfills on the surrounding environment.
Collapse
Affiliation(s)
- Wei-Li Jia
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Min Zhang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China; Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou, China
| | - Fang-Zhou Gao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Hong Bai
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Lu-Xi He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Liang-Ying He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Ting Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Yu Han
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| |
Collapse
|
2
|
Jia WL, Jiang YY, Jiang Y, Meng X, Li H, Zhao XQ, Wang YL, Wang YJ, Gu HQ, Li ZX. Associations between admission levels of multiple biomarkers and subsequent worse outcomes in acute ischemic stroke patients. J Cereb Blood Flow Metab 2024; 44:742-756. [PMID: 37975323 DOI: 10.1177/0271678x231214831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
The modified Rankin Scale change score (ΔmRS) is useful for evaluating acute poststroke functional improvement or deterioration. We investigated the relationship between multiple biomarkers and ΔmRS by analyzing data on 6931 patients with acute ischemic stroke (average age 62.3 ± 11.3 years, 2174 (31.4%) female) enrolled from the Third China National Stroke Registry (CNSR-III) and 15 available biomarkers. Worse outcomes at 3 months were defined as ΔmRS3m-discharge ≥1 (ΔmRS3m-discharge = mRS3m-mRSdischarge). Adjusted odds ratios (aORs) and their 95% confidence intervals (CIs) were calculated from logistic regression models. At 3-months poststroke, 1026 (14.8%) patients experienced worse outcomes. The highest quartiles of white blood cells (WBCs) (aOR [95%CI],1.37 [1.12-1.66]), high-sensitivity C-reactive protein (hs-CRP) (1.37 [1.12-1.67]), interleukin-6 (IL-6) (1.43 [1.16-1.76]), interleukin-1 receptor antagonist (IL-1Ra) (1.46 [1.20-1.78]) and YKL-40 (1.31 [1.06-1.63]) were associated with an increased risk of worse outcomes at 3 months. Results remained stable except for YKL-40 when simultaneously adding multiple biomarkers to the basic traditional-risk-factor model. Similar results were observed at 6 and 12 months after stroke. This study indicated that WBCs, hs-CRP, IL-6, IL-1Ra, and YKL-40 were significantly associated with worse outcomes in acute ischemic stroke patients, and all inflammatory biomarkers except YKL-40 were independent predictors of worse outcomes at 3 months.
Collapse
Affiliation(s)
- Wei-Li Jia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ying-Yu Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xing-Quan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Yi-Long Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
| | - Yong-Jun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zi-Xiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| |
Collapse
|
3
|
He LX, He LY, Gao FZ, Zhang M, Chen J, Jia WL, Ye P, Jia YW, Hong B, Liu SS, Liu YS, Zhao JL, Ying GG. Mariculture affects antibiotic resistome and microbiome in the coastal environment. J Hazard Mater 2023; 452:131208. [PMID: 36966625 DOI: 10.1016/j.jhazmat.2023.131208] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 02/23/2023] [Accepted: 03/12/2023] [Indexed: 05/03/2023]
Abstract
Antibiotics are increasingly used and released into the marine environment due to the rapid development of mariculture, resulting in spread of antibiotic resistance. The pollution, distribution, and characteristics of antibiotics, antibiotic resistance genes (ARGs) and microbiomes have been investigated in this study. Results showed that 20 antibiotics were detected in Chinese coastal environment, with predominance of erythromycin-H2O, enrofloxacin and oxytetracycline. In coastal mariculture sites, antibiotic concentrations were significantly higher than in control sites, and more types of antibiotics were detected in the South than in the North of China. Residues of enrofloxacin, ciprofloxacin and sulfadiazine posed high resistance selection risks. β-Lactam, multi-drug and tetracycline resistance genes were frequently detected with significantly higher abundance in the mariculture sites. Of the 262 detected ARGs, 10, 26, and 19 were ranked as high-risk, current-risk, future-risk, respectively. The main bacterial phyla were Proteobacteria and Bacteroidetes, of which 25 genera were zoonotic pathogens, with Arcobacter and Vibrio in particular ranking in the top10. Opportunistic pathogens were more widely distributed in the northern mariculture sites. Phyla of Proteobacteria and Bacteroidetes were the potential hosts of high-risk ARGs, while the conditional pathogens were associated with future-risk ARGs, indicating a potential threat to human health.
Collapse
Affiliation(s)
- Lu-Xi He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Liang-Ying He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| | - Fang-Zhou Gao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Min Zhang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; Guangdong Provincial Engineering Technology Research Center for Life and Health of River & Lake, Pearl River Hydraulic Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510611, China
| | - Jun Chen
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; Guangdong Provincial Engineering Technology Research Center for Life and Health of River & Lake, Pearl River Hydraulic Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510611, China
| | - Wei-Li Jia
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Pu Ye
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Yu-Wei Jia
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Bai Hong
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Si-Si Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jian-Liang Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| |
Collapse
|
4
|
Bai H, He LY, Gao FZ, Wu DL, Yao KS, Zhang M, Jia WL, He LX, Zou HY, Yao MS, Ying GG. Airborne antibiotic resistome and human health risk in railway stations during COVID-19 pandemic. Environ Int 2023; 172:107784. [PMID: 36731187 PMCID: PMC9884615 DOI: 10.1016/j.envint.2023.107784] [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] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/22/2022] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Antimicrobial resistance is recognized as one of the greatest public health concerns. It is becoming an increasingly threat during the COVID-19 pandemic due to increasing usage of antimicrobials, such as antibiotics and disinfectants, in healthcare facilities or public spaces. To explore the characteristics of airborne antibiotic resistome in public transport systems, we assessed distribution and health risks of airborne antibiotic resistome and microbiome in railway stations before and after the pandemic outbreak by culture-independent and culture-dependent metagenomic analysis. Results showed that the diversity of airborne antibiotic resistance genes (ARGs) decreased following the pandemic, while the relative abundance of core ARGs increased. A total of 159 horizontally acquired ARGs, predominantly confering resistance to macrolides and aminoglycosides, were identified in the airborne bacteria and dust samples. Meanwhile, the abundance of horizontally acquired ARGs hosted by pathogens increased during the pandemic. A bloom of clinically important antibiotic (tigecycline and meropenem) resistant bacteria was found following the pandemic outbreak. 251 high-quality metagenome-assembled genomes (MAGs) were recovered from 27 metagenomes, and 86 genera and 125 species were classified. Relative abundance of ARG-carrying MAGs, taxonomically assigned to genus of Bacillus, Pseudomonas, Acinetobacter, and Staphylococcus, was found increased during the pandemic. Bayesian source tracking estimated that human skin and anthropogenic activities were presumptive resistome sources for the public transit air. Moreover, risk assessment based on resistome and microbiome data revealed elevated airborne health risks during the pandemic.
Collapse
Affiliation(s)
- Hong Bai
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Liang-Ying He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| | - Fang-Zhou Gao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Dai-Ling Wu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China; Aquatic Ecology and Water Quality Management group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
| | - Kai-Sheng Yao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China; Aquatic Ecology and Water Quality Management group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
| | - Min Zhang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Wei-Li Jia
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Lu-Xi He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Hai-Yan Zou
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Mao-Sheng Yao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| |
Collapse
|
5
|
Xu B, Li HJ, Jia WL, Gong P, Zhou Y, Gao Y, Sun T, Liu ZH, Guo HY. [Clinical study of dienogest in the treatment of refractory endometriosis-associated pain]. Zhonghua Fu Chan Ke Za Zhi 2021; 56:178-184. [PMID: 33874712 DOI: 10.3760/cma.j.cn112141-20200525-00444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the efficacy and safety of dienogest (DNG) in the treatment of refractory endometriosis-associated pain (REAP). Methods: In this study, REAP was defined according to the following criteria: (1) the pain duration was ≥12 months and visual analogue scale (VAS)≥60 mm; (2) the previous treatments with over two medicines like oral contraceptives and levonorgestrel-releasing intrauterine system failed to achieve satisfactory relief of pain, with VAS reduction less than 50%; with gonadotropin-releasing hormone agonist or mifepristone, the pain could be controlled temporarily, but it recurred after discontinuation of medicines; (3) the pain could not be relieved by surgery or even repeated surgeries. In the present study, 48 patients with REAP were treated with DNG 2 mg/day orally and the clinical outcomes were retrospectively analyzed. The VAS scores, levels of CA125, estradiol, FSH, LH and changes in the size of endometriotic lesions before and after treatment were compared respectively. The side effects were also analyzed. Results: The average duration of DNG treatment was (20.1±12.8) months. After 3 months of medication, the VAS score was significantly reduced from (77.9±15.8) mm to (20.8±10.7) mm (P<0.01), and CA125 level was significantly reduced from (95±139) kU/L to (38±45) kU/L (P<0.05). The effects were maintained with continuation of DNG treatment. Endometriotic lesions tended to shrink, after 12 months of DNG treatment, the size of ovarian endometriomas was reduced significantly from (3.1±1.0) cm to (1.9±1.2) cm (P<0.05). The mean level of estradiol was maintained at 124.82-221.04 pmol/L and levels of FSH and LH did not change significantly during the treatment. The major side effect was irregular bleeding (75%, 36/48). Conclusions: DNG could effectively relieve REAP and is a well-tolerated therapy. It may supply an alternative option for patients with REAP.
Collapse
Affiliation(s)
- B Xu
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - H J Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - W L Jia
- Department of Obstetrics and Gynecology, Haidian Section of Peking University Third Hospital, Beijing 100080, China
| | - P Gong
- Department of Obstetrics and Gynecology, Haidian Section of Peking University Third Hospital, Beijing 100080, China
| | - Y Zhou
- Department of Imaging Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Y Gao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - T Sun
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Z H Liu
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - H Y Guo
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
6
|
Jia WL, Ding L, Ren ZY, Wu TT, Zhao WM, Fan SL, Wang JT. [Effects of both folic acid, p16 protein expression and their interaction on progression of cervical cancerization]. Zhonghua Liu Xing Bing Xue Za Zhi 2016; 37:1647-1652. [PMID: 27998415 DOI: 10.3760/cma.j.issn.0254-6450.2016.12.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effects of both folic acid, p16 protein expression and their interaction on progression of cervical cancerization. Methods: Participants were pathologically diagnosed new cases, including 80 women with normal cervical (NC), 55 patients with low-grade cervical intraepithelial neoplasia (CINⅠ), 55 patients with high-grade cervical intraepithelial neoplasia (CINⅡ/Ⅲ) and 64 patients with cervical squamous cell carcinoma (SCC). Serum folate levels were detected by microbiological assay method while p16 protein expression levels were measured by Western-blot. In vitro, cervical cancer cell lines C33A (HPV negative) and Caski (HPV16 positive) were treated with different concentrations of folate. Proliferation and apoptosis of cells and the levels of p16 protein expression were measured in groups with different folic acid concentrations. Results: Results showed that the levels of serum folate were (5.96±3.93) ng/ml, (5.08±3.43) ng/ml, (3.92±2.59) ng/ml and (3.18±2.71) ng/ml, and the levels of p16 protein were 0.80±0.32, 1.33±0.52, 1.91±0.77, and 2.09±0.72 in the group of NC, CINⅠ, CINⅡ/Ⅲ and SCC, respectively. However, the levels of serum folate decreased (trend χ2=32.71, P<0.001) and p16 protein expression increased (trend χ2=56.06, P<0.001) gradually along with the severity of cervix lesions. An additive interaction was seen between serum folate deficiency and high expression of p16 protein in the CINⅠ, CINⅡ/Ⅲ and SCC group. Results in vitro showed that, with the increase of folate concentration, the inhibition rate of cell proliferation (C33A: r=0.928, P=0.003; Caski: r=0.962, P=0.001) and the rate on cell apoptosis (C33A: r=0.984, P<0.001; Caski: r=0.986, P<0.001) all increased but the levels of p16 protein expression (C33A: r=-0.817, P=0.025; Caski: r=-0.871, P=0.011) reduced. The proliferation inhibition rate (C33A: r=-0.935, P=0.002; Caski: r=-0.963, P=0.001) and apoptosis rate of cells (C33A: r=-0.844, P=0.017; Caski: r=-0.898, P=0.006) were negatively correlated with the levels of p16 protein expression. Conclusions: Our findings indicated that both serum folate deficiency and high expression of p16 protein could increase the risk of cervical cancer and cervix precancerous lesion, and there was an additive interaction between them. Our findings suggested that folic acid supplementation could reverse the abnormal expression of p16 protein, and effectively promote apoptosis and inhibit proliferation in cervical carcinoma cells.
Collapse
Affiliation(s)
- W L Jia
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - L Ding
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Z Y Ren
- Community Health Center, Shanxi Cardiovascular Hospital, Taiyuan 030001, China
| | - T T Wu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - W M Zhao
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - S L Fan
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - J T Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| |
Collapse
|
7
|
Wu SY, Zhang XX, Yang SS, Sun KG, Jia WL, Shao CX, Wu Q, Xuan XW, Liu YC, Liu SJ, Sun XY. [Physical activity level and its influence factors among residents in one suburb district of Beijing]. Beijing Da Xue Xue Bao Yi Xue Ban 2016; 48:483-490. [PMID: 27318912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
OBJECTIVE To study the physical activity level and its influence factors among residents in one suburb of Beijing, so as to provide specific interventions for different people in different circumstances and to provide reference for health relevant policy-making in the future. METHODS In the study, 7 319 subjects aged 18 years or above were involved. The self-designed questionnaires based on Health Belief Model (HBM) had acceptable validity and reliability. The physical activity levels were calculated to classify sufficient or insufficient amount by a thousand-step equivalent greater than or equal to 6 or 10. Multiple variable Logistic regression was used to explore the influence factors of the physical activity among the residents. RESULTS The residents' median amount of physical activity in the suburb district of Beijing were 9.1 thousand-step equivalent with quartile of (3.8, 20.4). The percentages of the thousand-step equivalent greater than or equal to 6 or 10 were 63.7% and 47.7%, respectively. The median amounts of physical activity from work or household chores, transportation and recreation physical activities were 4.0, 1.0, 0.0 and the components of the total amount of physical activity from those were 61.7%, 18.3% and 20.1%, respectively. There were 8.6% residents whose life did notinvolve moderate or vigorous intensity activities. By using factor analysis, five factors were extracted from the scale based on the HBM; These factors together contributed to 63.7% of the sum of the squared loadings. The differences of physical activity levels on education level, age, gender, self-efficacy, cues, subjective and objective barriers were statistically significant (P<0.05).Those who were female, with older age, lower education level, higher self-efficacy, fewer cues, fewer subjective and objective barriers preferred to do more physical activities. CONCLUSION The physical activity levels among the residents in the suburb district of Beijing are moderate and high, and most amount of physical activities from work or household chores. Those who are male and whose ages are from 18 to 29 years and whose education levels are of university or above should be focused on intervention. Specific interventions should be developed for different people in different situations; More attention should be paid to improve the residents' self-efficacy and reduce the subjective and objective barriers of physical activity, and we also should actively advocate people to have more leisure exercise so as to improve the physical activity level among all residents.
Collapse
Affiliation(s)
- S Y Wu
- Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
| | - X X Zhang
- Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
| | - S S Yang
- Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
| | - K G Sun
- Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
| | - W L Jia
- Tongzhou Center for Disease Prevention and Control, Beijing 101100, China
| | - C X Shao
- Tongzhou Center for Disease Prevention and Control, Beijing 101100, China
| | - Q Wu
- Tongzhou Center for Disease Prevention and Control, Beijing 101100, China
| | - X W Xuan
- Tongzhou Center for Disease Prevention and Control, Beijing 101100, China
| | - Y C Liu
- Tongzhou Center for Disease Prevention and Control, Beijing 101100, China
| | - S J Liu
- Tongzhou Center for Disease Prevention and Control, Beijing 101100, China
| | - X Y Sun
- Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
| |
Collapse
|