1.Moderating effect of salidroside on intestinal microbiota in mice exposed to PM2.5
Siqi LI ; Chen LIU ; Weihong XU ; Wenbo WU ; Ruixi ZHOU ; Limin ZHANG ; Chao SONG ; Yumei LIU ; Fengjiao TAN ; Mengxiao LUAN ; Xiaolin HAN ; Jinfeng TAN ; Li YU ; Dongqun XU ; Qin WANG ; Xiaohong LI ; Wanwei LI
Journal of Environmental and Occupational Medicine 2024;41(2):125-132
Background Salidroside (SAL) has a protective effect on multiple organ systems. Exposure to fine particulate matter (PM2.5) in the atmosphere may lead to disruptions in gut microbiota and impact intestinal health. The regulatory effect of SAL on the gut microbiota of mice exposed to PM2.5 requires further investigation. Objective To evaluate gut microbiota disruption in mice after being exposed to PM2.5 and the potential effect of SAL. Methods Forty male C57BL/6 mice, aged 6 to 8 weeks, were randomly divided into four groups: a control group, an SAL group, a PM2.5 group, and an SAL+PM2.5 group, each containing 10 mice. In the SAL group and the SAL+PM2.5 group, the mice were administered SAL (60 mg·kg−1) by gavage, while in the control group and the PM2.5 group, sterile saline (10 mL·kg−1) was administered by gavage. In the PM2.5 group and the SAL+PM2.5 group, PM2.5 suspension (8 mg·kg−1) was intratracheally instilled, and in the control group and SAL group, sterile saline (1.5 mL·kg−1) was intratracheally administered. Each experiment cycle spanned 2 d, with a total of 10 cycles conducted over 20 d. Histopathological changes in the ileum tissue of the mice were observed after HE staining. Colon contents were collected for gut microbiota sequencing and short-chain fatty acids (SCFAs) measurements. Results The PM2.5 group showed infiltration of inflammatory cells in the ileum tissue, while the SAL+PM2.5 group exhibited only a small amount of inflammatory cell infiltration. Compared to the control group, the PM2.5 group showed decreased Shannon index (P<0.05) and increased Simpson index (P<0.05), indicating that the diversity of gut microbiota in this group was decreased; the SAL+PM2.5 group showed increased Shannon index compared to the PM2.5 group (P<0.05) and decreased Simpson index (P<0.05), indicating that the diversity of gut microbiota in mice intervened with SAL was increased. The principal coordinates analysis (PCoA) revealed a significant separation between the PM2.5 group and the control group, while the separation trend was less evident among the control group, the SAL group, and the SAL+PM2.5 group. The unweighted pair-group method with arithmetic means (UPGMA) clustering tree results showed that the control group and the SAL group clustered together first, followed by clustering with the SAL+PM2.5 group, and finally, the three groups clustered with the PM2.5 group. The PCoA and UPGMA clustering results indicated that the uniformity and similarity of the microbiota in the PM2.5 group were significantly decreased. Compared to the control group, the PM2.5 group showed decreased abundance of phylum Bacteroidetes and Candidatus_Saccharimonas (P<0.05) and increased abundance of phylum Proteobacteria, genus Escherichia, genus Bacteroides, genus Prevotella, genus Enterococcus, and genus Proteus (P<0.05). Compared to the PM2.5 group, the SAL+PM2.5 group showed decreased abundance of phylum Proteobacteria, phylum Actinobacteria, genus Prevotella, and genus Proteus (P<0.05), and increased abundance of Candidatus_Saccharimonas (P<0.05). The PM2.5 group showed reduced levels of propionic acid, valeric acid, and hexanoic acid compared to the control group (P<0.05), while the SAL+PM2.5 group showed increased levels of propionic acid, isobutyric acid, butyric acid, valeric acid, and hexanoic acid compared to the PM2.5 group (P<0.05). Conclusion Exposure to PM2.5 can cause pathological alterations, microbial dysbiosis, and disturbing production of SCFAs in intestinal tissue in mice. However, SAL can provide a certain degree of protective effect against these changes.
2.Comparative study of the efficacy of two intravitreal conbercept regimens in the treatment of polypoidal choroidal vasculopathy
Ran TANG ; Jiyang TANG ; Xinyao HAN ; Linqi ZHANG ; Xiaoxin LI ; Mingwei ZHAO ; Jinfeng QU
Chinese Journal of Experimental Ophthalmology 2024;42(1):53-59
Objective:To assess the efficacy and safety of the treat-and-extend (TAE) regimen and pro re nata (PRN) regimen of intravitreal conbercept in polypoidal choroidal vasculopathy (PCV) patients.Methods:A non-randomized controlled study was performed.Ninety-one patients (91 eyes) diagnosed with treatment-na?ve PCV from October 2016 to January 2019 at Department of Ophthalmology, Peking University People's Hospital were enrolled.All the patients received the intravitreal injection of 0.5 mg conbercept.After the initial treatment, the patients were divided into 3+ PRN group and 3+ TAE group according to their willingness.The follow-up time was one year.All the eyes underwent visual acuity test with ETDRS chart, optical coherence tomography (OCT) examination, fundus fluorescein angiography (FFA) and indocyanine green angiography (ICGA). Best corrected visual acuity (BCVA), central retinal thickness (CRT), maximum retinal thickness (MRT), pigment epithelium detachment (PED) height, the number and area of polypoidal lesions, the area of retinal hemorrhage and the area of branching vascular network (BVN) were recorded.Treatment interval and injection frequencies during the one-year follow-up were compared between the two groups.This study adhered to the Declaration of Helsinki.The study protocol was approved by Peking University People's Hospital (No.2020PHB250-01). Written informed consent was obtained from each patient.Results:One-year after treatment, the BCVA improvement in the 3+ PRN group and 3+ TAE group was 5.0(-2.0, 15.0) and 6.0(-1.0, 14.0) letters, respectively, showing no significant difference ( Z=-0.352, P=0.725). No significant differences were found in CRT, MRT and PED height between the two groups ( Z=-0.145, -0.529, -0.985, all at P>0.05). There was no significant difference in polypoidal lesions number, polypoidal lesions area, the number of eyes with different degrees of polyp regression, BVN area and retinal hemorrhage area between the two groups ( Z=-0.502, -0.300, -0.047, -0.265, -1.243, all at P>0.05). After the one-year follow-up, the mean injection frequency of 3+ PRN group was (7.6±0.9) times, which was lower than (8.4±2.0) times of 3+ TAE group, showing a significant difference ( t=2.432, P=0.019). The mean follow-up frequency was (11.3±1.5) times of 3+ PRN group, which was significantly higher than (10.1±1.7) times of 3+ TAE group ( t=3.403, P=0.001). For the 3+ TAE group, 17.1%(6/35) of patients achieved an extension interval of 12 weeks after the first 3 doses, and 48.5%(17/35) of patients achieved an extension interval of 8 weeks or more, with a mean maximum extension interval of (9.5±2.0) weeks.During the follow-up, 10 patients in 3+ PRN group and 8 patients in 3+ TAE group received photodynamic therapy as a rescue treatment. Conclusions:The 3+ PRN and 3+ TAE regimens of intravitreal injection of conbercept combined with photodynamic therapy as a rescue treatment have similar efficacy in visual and anatomical outcomes for PCV patients.3+ TAE regimen has a higher treatment frequency and fewer follow-up visits.
3.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
4.A preliminary prediction model of depression based on whole blood cell count by machine learning method.
Jing YAN ; Xin Yuan LI ; Yu Lan GENG ; Yu Fang LIANG ; Chao CHEN ; Ze Wen HAN ; Rui ZHOU
Chinese Journal of Preventive Medicine 2023;57(11):1862-1868
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans
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Depression
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Bayes Theorem
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Machine Learning
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Support Vector Machine
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Blood Cell Count
5.A preliminary prediction model of depression based on whole blood cell count by machine learning method.
Jing YAN ; Xin Yuan LI ; Yu Lan GENG ; Yu Fang LIANG ; Chao CHEN ; Ze Wen HAN ; Rui ZHOU
Chinese Journal of Preventive Medicine 2023;57(11):1862-1868
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans
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Depression
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Bayes Theorem
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Machine Learning
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Support Vector Machine
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Blood Cell Count
6.Study on the correlation between air pollution and acute cerebrovascular diseases in Jining
Lixia LIU ; Chuanfu ZHANG ; Xiangli YU ; Jinfeng MA ; Rongrong HAN ; Aimei ZHANG
Journal of Public Health and Preventive Medicine 2022;33(1):43-47
Objective To explore the temporal and spatial distribution characteristics of air pollutants PM2.5, PM10, SO2, CO, and NO2, and their effects on acute cerebrovascular diseases in Jining City. Methods The data of patients with acute cerebrovascular disease treated in a 3A hospital in Jining from October 1, 2017, to November 31, 2019, were retrospectively collected. Combined with the air pollution data of 29 air quality monitoring stations in Jining City, the Kriging interpolation model was used to analyze the overall situation of air pollution in Jining. On this basis, the relationship between air pollution and acute cerebrovascular diseases in Jining City was analyzed. Results In Jining City, the incidence of acute cerebrovascular disease in male was higher than that in female, and the incidence in rural areas was significantly higher than that in urban areas. The spatial distribution showed a trend of gradual accumulation from southeast to northwest. The daily average concentrations of PM2.5 and PM10 were higher in winter and spring than in summer and autumn. The results of Kriging interpolation analysis showed that the concentrations of these air pollutants formed aggregation points in varying degrees. The spatial distribution of acute cerebrovascular disease patients in Jining City was highly consistent with the spatial distribution of air pollutant concentrations. Spearman correlation analysis showed that CO, SO2, and NO2 were positively correlated with the incidence of acute cerebrovascular disease, while the correlation between PM2.5 and PM10 and the incidence of acute cerebrovascular disease was not significant. Conclusion Some air pollutants such as CO, SO2, and NO2 have a positive correlation with the incidence of acute cerebrovascular disease, and the prevalence has a certain population and regional distribution. In the future work of cerebrovascular disease prevention, personal protection should be done according to local conditions and living environment of specific people.
7.Clinical efficacy of transjugular intrahepatic portosystemic shunt for gastrointestinal hemorrhage in patients with idiopathic noncirrhotic portal hypertension
Wenguang ZHANG ; Jianzhuang REN ; Tao WEI ; Yaopu WANG ; Jinfeng XUE ; Pengfei CHEN ; Xueliang ZHOU ; Xinwei HAN
Chinese Journal of Internal Medicine 2022;61(5):548-551
Objective:To explore the medium-long term efficacy of transjugular intrahepatic portosystemic shunt (TIPS) for gastrointestinal hemorrhage in patients with idiopathic non-cirrhotic portal hypertension (INCPH).Methods:From March 2013 to July 2018, clinical data of 13 INCPH patients, including 5 males, 8 females,with gastrointestinal hemorrhage were retrospectively analyzed, who were diagnosed at the First Affiliated Hospital of Zhengzhou University, Anyang Fifth People′ s Hospital and Yuncheng Central Hospital. All patients received TIPS treatment. The general information, postoperative survival rate, the incidence of rebleeding, shunt dysfunction rate, and incidence of hepatic encephalopathy were analyzed.Results:All 13 patients with INCPH completed TIPS successfully with an average age of 45±8 (33 to 59) years. The hepatic venous pressure gradient (HVPG) decreased from 20.0-26.0 (22.6±1.9) mmHg before procedure to 8.0-14.0 (9.4±3.2) mmHg after. The median follow-up time was 44±7 (31 to 53) months. One patient died of liver failure 27 months after TIPS. Hepatic encephalopathy occurred cumulatively in 1 case (1/13), 1 case (1/13) and 1 case (1/13) in 12, 24 and 36 months after TIPS. Stent restenosis occurred cumulatively in 2 cases (2/13), 3 cases (3/13) and 3 cases (3/13) in 12, 24 and 36 months after TIPS. Portal vein thrombosis occurred cumulatively in 2 cases (2/13), and no primary liver cancer developed.Conclusions:TIPS is safe and effective in the treatment of INCPH with gastrointestinal bleeding with favorable medium-long term outcome.
8.Clinical characteristics and multimodal imaging of perifoveal exudative vascular anomalous complex
Jiyang TANG ; Xinyao HAN ; Ran TANG ; Linqi ZHANG ; Huijun QI ; Mingwei ZHAO ; Jinfeng QU
Chinese Journal of Ocular Fundus Diseases 2022;38(11):885-890
Objective:To investigate the clinical features and multimodal imaging features of eyes with perifoveal exudative vascular anomalous complex (PEVAC).Methods:A retrospective case study. From February 2014 to November 2020, 7 eyes of 7 patients with PEVAC diagnosed by ophthalmology examination in Department of Ophthalmologyof Peking University People's Hospital were included in this study. There were 6 males and 1 female. The age was 60.1±9.1 years. All were monocular. The chief complaints of visual deformation and vision loss were 3 and 1 cases, respectively. All patients underwent best corrected visual acuity (BCVA), fundus color photography, optical coherence tomography (OCT), fundus fluorescein angiography (FFA). BCVA examination was performed using the standard logarithmic visual acuity chart, which was converted to logarithm of the minimum angle of resolution (logMAR) visual acuity. OCT angiography (OCTA) and indocyanine green angiography (ICGA) were performed in 4 and 2 eyes, respectively. Three eyes were treated with intravitreal injection of anti-vascular endothelial growth factor (VEGF) combined with local laser photocoagulation. Two eyes were treated with laser photocoagulation alone. The follow-up time was 16.7±19.1 months. During follow-up, relevant examinations were performed with the same equipment and methods as at the initial diagnosis. The multimodal imaging characteristics and treatment response of the affected eyes were observed.Results:The baseline logMAR BCVA was 0.33±0.19 (0.20-0.80). All eyes showed isolated hemangiomatous lesions in the macular fovea with rigid retinal exudation, and 2 adjacent isolated hemangiomatous lesions were observed in 1 eye. FFA and ICGA examination showed that all eyes with macular hemangiomatous lesions showed clear boundary and strong fluorescence in the early stage. No other retinal or choroidal vascular abnormalities were observed. On OCT examination, circular lumen-like structures with strong reflective wall near the fovea were observed in the macular region of all eyes, accompanied by intraretinal cystic lumen. The macular central retinal thickness (CMT) was 326±125 (207-479) μm. In the four eyes examined by OCTA, blood flow signals were observed in the circular lumenoid structures with strong reflective walls adjacent to the fovea. Blood flow signals were observed in the superficial capillary layer (SCP) and deep capillary layer (DCP) of the retina in 3 eyes. SCP showed blood flow signal in 1 eye. In 4 eyes treated with intravitreal injection of anti-VEGF drugs, there was no significant improvement in the intraretinal capsule space after treatment. Subretinal fluid absorption, retinal cystoid edema persisted, and rigid exudation decreased in 1 eye. CMT decreased and BCVA increased in 5 eyes treated with laser photocoagulation or laser photocoagulation alone. At last follow-up, logMAR BCVA was 0.16±0.06 (0.10-0.20) and CMT was 212±34 (154-252) μm. Compared with baseline, the difference of BCVA was statistically significant ( t=2.661, P=0.037). Conclusions:The fundus of PEVAC patients is characterized by solitary or multiple solitary hemangiomatous lesions in the macular fovea. Round lumenoid structures with strong reflective walls, with or without intraretinal cystic lumen, rigid exudate, and subretinal fluid, in which blood flow signals can be seen in OCT.
9.Role of oxidative stress in trichloroethylene-induced toxicity
Jinfeng ZHAO ; Shiyu YAN ; Rui WANG ; Yuqing HAN ; Yao PAN
Journal of Environmental and Occupational Medicine 2022;39(12):1423-1429
Trichloroethylene (TCE) is a common industrial organic solvent and environmental contaminant. People are exposed to TCE through occupational contact or environmental pollution, which leads to serious human health hazards. A large number of studies have shown that oxidative stress plays an important role in the TCE-induced multi-target organ toxicity. However, the research of related signaling pathways remains to be deepened. In this review, we summarized the epidemiological, animal, and cellular studies correlated to liver toxicity, kidney toxicity, cardiac developmental toxicity, placental developmental toxicity, neurodevelopmental toxicity, and autoimmune response induced by TCE. In addition, the possible molecular mechanisms of oxidative stress in TCE-induced toxicity were concluded, including DNA damage, mitochondrial dysfunction, cell apoptosis, and abnormal activation of the immune system. Through literature review, we proposed that nuclear factor E2 related factor 2 may play an important role in mediating TCE-induced target organ toxicity, providing a theoretical basis for the prevention and treatment of adverse health effects caused by TCE.
10.Low intensity near-infrared light promotes bone regeneration via circadian clock protein cryptochrome 1.
Jinfeng PENG ; Jiajia ZHAO ; Qingming TANG ; Jinyu WANG ; Wencheng SONG ; Xiaofeng LU ; Xiaofei HUANG ; Guangjin CHEN ; Wenhao ZHENG ; Luoying ZHANG ; Yunyun HAN ; Chunze YAN ; Qian WAN ; Lili CHEN
International Journal of Oral Science 2022;14(1):53-53
Bone regeneration remains a great clinical challenge. Low intensity near-infrared (NIR) light showed strong potential to promote tissue regeneration, offering a promising strategy for bone defect regeneration. However, the effect and underlying mechanism of NIR on bone regeneration remain unclear. We demonstrated that bone regeneration in the rat skull defect model was significantly accelerated with low-intensity NIR stimulation. In vitro studies showed that NIR stimulation could promote the osteoblast differentiation in bone mesenchymal stem cells (BMSCs) and MC3T3-E1 cells, which was associated with increased ubiquitination of the core circadian clock protein Cryptochrome 1 (CRY1) in the nucleus. We found that the reduction of CRY1 induced by NIR light activated the bone morphogenetic protein (BMP) signaling pathways, promoting SMAD1/5/9 phosphorylation and increasing the expression levels of Runx2 and Osterix. NIR light treatment may act through sodium voltage-gated channel Scn4a, which may be a potential responder of NIR light to accelerate bone regeneration. Together, these findings suggest that low-intensity NIR light may promote in situ bone regeneration in a CRY1-dependent manner, providing a novel, efficient and non-invasive strategy to promote bone regeneration for clinical bone defects.
Animals
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Rats
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Bone Morphogenetic Protein 2/metabolism*
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Bone Regeneration
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Cell Differentiation
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Circadian Clocks
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Cryptochromes/metabolism*
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Osteoblasts/metabolism*
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Osteogenesis
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Transcription Factors/metabolism*


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