1.Modulation of Ryanodine Receptors on Microglial Ramification, Migration, and Phagocytosis in an Alzheimer's Disease Mouse Model.
Yulin OUYANG ; Zihao CHEN ; Qiang HUANG ; Hai ZHANG ; Haolin SONG ; Xinnian WANG ; Wenxiu DONG ; Yong TANG ; Najeebullah SHAH ; Shimin SHUAI ; Yang ZHAN
Neuroscience Bulletin 2025;41(11):2063-2077
Microglial functions are linked to Ca2+ signaling, with endoplasmic reticulum (ER) calcium stores playing a crucial role. Microglial abnormality is a hallmark of Alzheimer's disease (AD), but how ER Ca2+ receptors regulate microglial functions under physiological and AD conditions remains unclear. We found reduced ryanodine receptor 2 (Ryr2) expression in microglia from an AD mouse model. Modulation of RyR2 using S107, a RyR-Calstabin stabilizer, blunted spontaneous Ca2+ transients in controls and normalized Ca2+ transients in AD mice. S107 enhanced ATP-induced migration and phagocytosis while reducing ramification in control microglia; however, these effects were absent in AD microglia. Our findings indicate that RyR2 stabilization promotes an activation state shift in control microglia, a mechanism impaired in AD. These results highlight the role of ER Ca2+ receptors in both homeostatic and AD microglia, providing insights into microglial Ca2+ malfunctions in AD.
Animals
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Microglia/pathology*
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Alzheimer Disease/pathology*
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Phagocytosis/drug effects*
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Ryanodine Receptor Calcium Release Channel/metabolism*
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Disease Models, Animal
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Mice
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Cell Movement/drug effects*
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Mice, Transgenic
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Calcium Signaling/physiology*
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Calcium/metabolism*
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Mice, Inbred C57BL
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Male
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Endoplasmic Reticulum/metabolism*
2.Characteristics of Intestinal Flora in Patients with Large Intestine Polyps were Analyzed by 16SrDNA Sequencing
Xinnian FU ; Chi MA ; Xinxin WANG
Journal of Medical Research 2025;54(5):93-98,165
Objective The changes and differences of intestinal flora in patients with non-adenomatous polyps,common adenoma-tous polyps and advanced adenomatous polyps were analyzed.Methods Stool samples of patients with large intestine polyps meeting the ataxic standard and healthy physical examination subjects were collected from September 2022 to December 2023 in the Department of Gastroenterology of the Second Affiliated Hospital of Dali University,and the intestinal flora sequencing data were analyzed by 16SrDNA gene sequencing method.Results The results of Alpha diversity index showed that the diversity and abundance of bacteria in non-ade-noma group,common adenoma group and advanced adenoma group were decreased compared with healthy control group(P<0.05).At the phylum level,compared with the healthy group,the relative abundance of Proteobacteria increased in the non-adenoma group,the com-mon adenoma group and the advanced adenoma group,while the relative abundance of Bacteroidetes decreased.The relative abundance of campylobacter in advanced adenoma group was significantly lower than that in non-adenoma group and common adenoma group(P=0.005).At the genus level,the relative abundances of Escherichia coli Shigella and Streptococcus in the non-adenoma group,common adenoma group and advanced adenoma group were higher than those in the healthy control group,while the relative abundances of Fecalis praecalis and Agathobacter were lower than those in the healthy group(P<0.05).The relative abundance of UBA1819 bacteria in the ad-vanced adenoma group was higher than that in the non-adenoma group and the common adenoma group(P=0.038).Conclusion In-testinal flora diversity and abundance decreased in patients with non-adenomatous polyps,common adenomatous polyps and advanced ad-enomatous polyps,while UBA1819 bacteria level increased in patients with advanced adenomatous polyps.
3.Characteristics of Intestinal Flora in Patients with Large Intestine Polyps were Analyzed by 16SrDNA Sequencing
Xinnian FU ; Chi MA ; Xinxin WANG
Journal of Medical Research 2025;54(5):93-98,165
Objective The changes and differences of intestinal flora in patients with non-adenomatous polyps,common adenoma-tous polyps and advanced adenomatous polyps were analyzed.Methods Stool samples of patients with large intestine polyps meeting the ataxic standard and healthy physical examination subjects were collected from September 2022 to December 2023 in the Department of Gastroenterology of the Second Affiliated Hospital of Dali University,and the intestinal flora sequencing data were analyzed by 16SrDNA gene sequencing method.Results The results of Alpha diversity index showed that the diversity and abundance of bacteria in non-ade-noma group,common adenoma group and advanced adenoma group were decreased compared with healthy control group(P<0.05).At the phylum level,compared with the healthy group,the relative abundance of Proteobacteria increased in the non-adenoma group,the com-mon adenoma group and the advanced adenoma group,while the relative abundance of Bacteroidetes decreased.The relative abundance of campylobacter in advanced adenoma group was significantly lower than that in non-adenoma group and common adenoma group(P=0.005).At the genus level,the relative abundances of Escherichia coli Shigella and Streptococcus in the non-adenoma group,common adenoma group and advanced adenoma group were higher than those in the healthy control group,while the relative abundances of Fecalis praecalis and Agathobacter were lower than those in the healthy group(P<0.05).The relative abundance of UBA1819 bacteria in the ad-vanced adenoma group was higher than that in the non-adenoma group and the common adenoma group(P=0.038).Conclusion In-testinal flora diversity and abundance decreased in patients with non-adenomatous polyps,common adenomatous polyps and advanced ad-enomatous polyps,while UBA1819 bacteria level increased in patients with advanced adenomatous polyps.
4.Value of modified ROX index in predicting the prognosis of acute respiratory distress syndrome treated with high-flow nasal cannula oxygen therapy
Caixia ZHANG ; Xinwei WANG ; Xinnian LIU ; Chuan DU
Chinese Journal of Primary Medicine and Pharmacy 2024;31(3):392-398
Objective:To evaluate the value of the ROX index [blood oxygen saturation (SpO 2)/fraction of inspiration O 2 (FiO 2)/respiratory rate (RR)], ROX-heart rate (HR) index (ROX index/HR × 100), modified ROX (mROX) index [partial pressure of oxygen in the blood (PaO 2)/FiO 2/RR], and mROX-HR index (mROX index/HR × 100) in predicting prognosis for patients with acute respiratory distress syndrome (ARDS) treated with high-flow nasal cannula oxygen therapy (HFNC). Methods:The clinical data of 100 patients with ARDS who received HFNC between January 2018 and December 2022 at The Third People's Hospital of Hubei Province, Jianghan University, were retrospectively analyzed. These patients were divided into two groups based on whether HFNC treatment was successful or not: a success group with 65 patients and a failure group with 35 patients. The differences in the ROX index, ROX-HR index, mROX index, and mROX-HR index in the observation group were observed at the designated time points: 2, 12, and 24 hours after HFNC treatment. Receiver operating characteristic (ROC) curves were utilized to evaluate the value of ROX index, ROX-HR index, mROX index, and mROX-HR index in predicting the success or failure of HFNC treatment at 2, 12, and 24 hours. Cutoff values were determined.Results:There were no significant differences in age, gender, body mass index, Acute Physiology and Chronic Health Evaluation (APACHE II) score, Sequential Organ Failure Assessment score, or the proportions of underlying diseases and pulmonary causes between the success and failure groups (all P > 0.05). Furthermore, there were no significant differences in baseline HR, RR, FiO 2, SpO 2, partial pressure of carbon dioxide (PaCO 2), PaO 2, pH, lactate, oxygenation index, ROX index, mROX index, ROX-HR index, or mROX-HR index between the two groups (all P > 0.05). The ROX index in the success group at 2, 12, and 24 hours after HFNC treatment was 6.86 ± 1.09, 6.31 ± 1.61, and 8.24 ± 2.29, respectively. These values were significantly higher than those in the failure group (6.36 ± 0.67, 5.65 ± 1.44, and 5.41 ± 0.84) at the corresponding time points ( F = 5.97, 4.04, 49.40, all P < 0.05). At 2, 12, and 24 hours after HFNC treatment, the mROX index in the success group was 5.94 ± 1.28, 5.74 ± 1.23, and 8.51 ± 2.64, respectively. These values were significantly higher than those in the failure group (5.26 ± 0.74, 4.80 ± 0.97, 4.81 ± 1.17) at the corresponding time points ( F = 8.23, 15.38, 61.79, all P < 0.05). At 2, 12, and 24 hours after HFNC treatment, the ROX-HR index in the success group was 6.53 ± 1.32, 6.85 ± 1.44, and 7.57 ± 1.47, respectively. These values were significantly higher than those in the failure group (5.79 ± 1.04, 5.87 ± 1.03, 5.57 ± 0.63) at the corresponding time points ( F = 8.28, 12.61, 58.34, all P < 0.05). At 2, 12, and 24 hours after HFNC treatment, the mROX-HR index in the success group was 6.11 ± 1.30, 6.86 ± 1.13, and 7.79 ± 1.79, respectively. These values were significantly higher than those in the failure group (5.20 ± 1.06, 5.66 ± 1.46, 4.92 ± 0.90) at the corresponding time points ( F = 12.60, 20.87, 78.56, all P < 0.05). The receiver operating characteristic curve analysis revealed that the optimal thresholds were 6.56, 6.02, 6.24, and 5.25 for the ROX index, mROX index, ROX-HR index, and mROX-HR index, respectively. The area under the curve (AUC) values were 0.63, 0.66, 0.68, and 0.72, with sensitivity of 55.4%, 47.7%, 56.9%, and 76.9%, and specificity of 71.4%, 91.4%, 77.1%, and 62.9%, respectively. At 12 hours after treatment, the optimal thresholds were 6.09, 5.53, 6.52, and 5.99, with AUC values of 0.62, 0.70, 0.67, and 0.80, sensitivity of 55.4%, 53.8%, 61.5%, and 80.0%, and specificity of 74.3%, 77.1%, 71.4%, and 74.3%, respectively. At 24 hours after treatment, the optimal thresholds were 6.23, 6.4, 5.99, and 6.22, with AUC values of 0.88, 0.90, 0.91, and 0.93, sensitivity of 81.5%, 80.0%, 87.7%, and 83.1%, and specificity of 91.4%, 94.3%, 80.0%, and 91.4%, respectively. Conclusion:The use of the ROX index, mROX index, ROX-HR index, and mROX-HR index can aid in predicting the prognosis of ARDS patients. The predictive value of these indices increases as treatment time progresses. The mROX-HR index offers marked advantages during the initial stages of treatment and could serve as a reliable early predictor.
5.Diagnostic value of fractional exhaled nitric oxide combined with small airway function test for chronic cough
Caixia ZHANG ; Xinwei WANG ; Xinnian LIU ; Chuan DU ; Chunyan HUANG
Chinese Journal of Primary Medicine and Pharmacy 2023;30(2):186-191
Objective:To investigate the value of fractional exhaled nitric oxide (FeNO) combined with small airway function test to replace bronchial provocation test and induced sputum test in differentiating cough variant asthma (CVA) from eosinophilic bronchitis (EB).Methods:The clinical data of 105 patients with chronic cough admitted to The Third People's Hospital of Hubei, Jianghan University from January 2018 to December 2021 were retrospectively analyzed. These patients consisted of 40 patients with CVA (CVA group), 25 patients with EB (EB group), and 40 patients with other chronic coughs (other chronic cough group). FeNO and lung function were compared between groups. The value of FeNO, small airway function, and their combination in differentiating CVA from EB were analyzed using the receiver operating characteristic curves.Results:FeNO level was the highest in the CVA group [33.0 (30.0, 37.8) ppb], followed by the EB group [28.0 (25.5, 32.0) ppb], and the lowest in other chronic cough group [13.0 (11.0, 15.0) ppb]. There was significant difference in FeNO level between groups ( H value = 79.00, P < 0.05). There were no significant differences in forced vital capacity (FVC), forced expiratory volume in 1 second (FEV 1), FEV 1/FVC, peak expiratory flow (PEF) between groups (all P > 0.05). Maximal mid-expiratory flow (MMEF) [74 (66.0, 77.4) in the CVA group, 80 (79.0, 83.3) in the EB group, 88.0 (86.4, 90.0) in other chronic coughs group], FEF25 (%) [70.0 (60.3, 75.1) in the CVA group, 78.0 (74.1, 85.0) in the EB group, 81.7 (78.9, 86.3) in other chronic coughs group], FEF50 (%) [75.2 (67.1, 80.8) in the CVA group, 80.6 (75.7, 85.9) in the EB group, 89.4 (87.0, 90.5) in other chronic coughs group], FEF75 (%) [76.4 (68.7, 85.8) in the CVA group, 80.9 (77.4, 89.7) in the EB group, 90.8 (87.2, 94.2) in other chronic coughs group] were significantly lower in the CVA group than those in other chronic coughs group. With the exception of FEF25 (%), MMEF (%), FEF50 (%), and FEF75 (%) were significantly lower in the EB group compared with other chronic coughs group. MMEF (%) and FEF25 (%) in the CVA group were significantly lower compared with the EB group. There were significant differences in MMEF (%), FEF50 (%), and FEF75 (%) between groups ( H = 62.82, 47.04, 47.41, 49.11, all P < 0.01). There were significant differences in FEF50 (%) and FEF75 (%) between CVA and EB groups (both P > 0.05). In binary logistic regression equation, FeNO and MMEF (%) were important indexes to distinguish CVA from EB ( P < 0.05). Bronchial provocation test and induced sputum test were used as the gold standard to distinguish CVA from EB. When FeNO and MMEF (%) were used separately to distinguish CVA from EB, the optimal threshold value was 30.0 ppb and 77.7 respectively, the area under the receiver operating characteristic curve was 0.77 and 0.82 respectively, the diagnostic sensitivity was 70% and 77.5% respectively, and the diagnostic specificity was 72% and 88% respectively. When FeNO and MMEF (%) were used in combination to distinguish CVA from EB, the area under the receiver operating characteristic curve was 0.89, and the diagnostic sensitivity and specificity was 75% and 96% respectively. Conclusion:FeNO and MMEF (%) can be used to distinguish CVA from EB. FeNO combined with MMEF (%) has a higher value in distinguishing CVA from EB than FeNO and MMEF alone.
6.Influencing factors for hospitalization of pneumoconiosis patients
LI Tao ; JIA Junlin ; SHI Li ; WANG Jing ; LI Yiqi ; WANG Xiaolin ; LI Mengna ; GUO Xinnian ; FANG Yuan ; WANG Huanqiang ; LOU Jianlin
Journal of Preventive Medicine 2020;32(8):790-794
Objective:
To analyze the influencing factors for hospitalization of pneumoconiosis patients, so as to provide reference for improving the timeliness of treatment and quality of life in these patients.
Methods:
The pneumoconiosis patients in Changshan, Wenling and Changxing ( having mining industry ) of Zhejiang Province were selected by stratified and typical sampling methods. Their demographic features, prevalence of pneumoconiosis and hospitalization status were collected by a questionnaire survey. Logistic regression analysis was conducted to analyze the influencing factors for hospitalization.
Results:
Among 166 pneumoconiosis patients, 122 ( 73.49% ) chose to be hospitalized. The multivariate logistic regression analysis revealed that the patients who scored higher in ED-5Q ( OR=65.821, 95%CI: 3.831-1130.781 )and who would communicate with other pneumoconiosis patients ( OR=3.744, 95%CI: 1.261-11.115 ) were more likely to be hospitalized; the patients who were under the medical insurance for urban employees were more likely to be hospitalized than those who were under the new rural cooperative medical care system ( OR=0.033, 95%CI: 0.007-0.154 ) and others ( OR=0.038, 95%CI: 0.002-0.960 ) .
Conclusion
The quality of life, communication with other pneumoconiosis patients and type of medical insurance were the influencing factors for hospitalization of pneumoconiosis patients.
7.Analysis of influencing factors of textile workers' occupational stress
Yuan FANG ; Zhaoqiang JIANG ; Jianfei WANG ; Junlin JIA ; Dandan YU ; Lingfang FENG ; Li SHI ; Xinnian GUO ; Man YU ; Hailing XIA ; Min YU ; Jing WANG ; Tao LI ; Li JU ; Jin WANG ; Jianlin LOU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(4):275-278
Objective:To explore the occupational stress status and influencing factors of workers in a textile factory in Zhejiang Provice.Methods:In October 2018, 505 workers from a textile factory in Zhejiang Province were selected as research objects by convenient sampling method. A total of 505 questionnaires were distributed, 495 of which were effective and the effective recovery rate was 98.0%. Job Content Questionnaire (JCQ) and Effort Reward Imbalance Questionnaire (REI) were used to investigate textile workers' occupational stress and analyze its influencing factors. The differences of the composition ratio of different groups were tested by χ 2 test. The influencing factors such as age, gender and occupation on occupational stress were analyzed by multivariate logistic regression. Results:ERI analysis results showed that the high and low occupational stress accounted for 30.1% and 69.9%, respectively. The differences of occupational stress among workers of different job types and working ages were statistically significant ( P<0.05) . The detection rates of high occupational stress of paper workers and spinners were 47.8% (11/23) and 44.8% (30/67) , respectively, higher than other jobs. The detection rate of high occupational stress for workers with more than 5 years of service was 46.4% (13/28) . The results of JCQ analysis showed that there was no statistical significance in the differences of daily working hours and length of service between different gender, education levels, types of work patterns, and occupational stress ( P>0.05) . Job types had significant effects on the occupational stress defined by ERI ( P<0.05) , the risk of occupational stress was 2.151 times than that of the coiler. Conclusion:There are significant differences in occupational stress risk among workers of different types of work in textile industry, so different measures should be taken to prevent and control occupational stress in different jobs.
8.Analysis of influencing factors of textile workers' occupational stress
Yuan FANG ; Zhaoqiang JIANG ; Jianfei WANG ; Junlin JIA ; Dandan YU ; Lingfang FENG ; Li SHI ; Xinnian GUO ; Man YU ; Hailing XIA ; Min YU ; Jing WANG ; Tao LI ; Li JU ; Jin WANG ; Jianlin LOU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(4):275-278
Objective:To explore the occupational stress status and influencing factors of workers in a textile factory in Zhejiang Provice.Methods:In October 2018, 505 workers from a textile factory in Zhejiang Province were selected as research objects by convenient sampling method. A total of 505 questionnaires were distributed, 495 of which were effective and the effective recovery rate was 98.0%. Job Content Questionnaire (JCQ) and Effort Reward Imbalance Questionnaire (REI) were used to investigate textile workers' occupational stress and analyze its influencing factors. The differences of the composition ratio of different groups were tested by χ 2 test. The influencing factors such as age, gender and occupation on occupational stress were analyzed by multivariate logistic regression. Results:ERI analysis results showed that the high and low occupational stress accounted for 30.1% and 69.9%, respectively. The differences of occupational stress among workers of different job types and working ages were statistically significant ( P<0.05) . The detection rates of high occupational stress of paper workers and spinners were 47.8% (11/23) and 44.8% (30/67) , respectively, higher than other jobs. The detection rate of high occupational stress for workers with more than 5 years of service was 46.4% (13/28) . The results of JCQ analysis showed that there was no statistical significance in the differences of daily working hours and length of service between different gender, education levels, types of work patterns, and occupational stress ( P>0.05) . Job types had significant effects on the occupational stress defined by ERI ( P<0.05) , the risk of occupational stress was 2.151 times than that of the coiler. Conclusion:There are significant differences in occupational stress risk among workers of different types of work in textile industry, so different measures should be taken to prevent and control occupational stress in different jobs.
9. Analyzing the mental health status and its impact factors among female nurses in China
Yan TONG ; Zhaoqiang JIANG ; Yixiao ZHANG ; Junlin JIA ; Wei LU ; Jing WANG ; Huijuan TANG ; Min ZHANG ; Xinnian GUO ; Tao LI ; Haiying JIANG ; Wenlan YU ; Jianlin LOU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2018;36(2):115-118
Objective:
To analyze the mental health status and its impact factors among nurses, finding ways to improve the mental health of nurses.
Methods:
A total of 13 425 female healthcare workers aged from 18 to 65 were selected as study objects. The survey was conducted with unified design questionnaire. The survey included the basic situation of the individuals and SCL-90 questionnaire. Comparing the female doctors, the mental health status and its impact factors of nurses were analyzed.
Results:
The income, age, education and occupation, which include shift work, heavy work load and overtime work are different between nurses and doctors. The main mental health problems of nurses were obsessive-compulsive symptoms, depressive symptoms and somatization. The results of univariate analysis indicated that shift work, overtime work, and heavy work load affected the positive rate of each factor. The results of multivariate analysis showed that occupation, shift work, overtime work, and heavy work load have significant adverse effects on the positive rate of the total score in female healthcare workers (
10. Ventilator-associated pneumonia among premature infants <34 weeks′ gestational age in neonatal intensive care unit in China: a multicenter study
Shujuan LI ; Weili YAN ; Qi ZHOU ; Shuping HAN ; Jinzhen GUO ; Shiwen XIA ; Shah VIBHUTI ; Sannan WANG ; Yong JI ; Changyi YANG ; Chuanzhong YANG ; Ruobing SHAN ; Ling LIU ; Bin YI ; Jiangqin LIU ; Zhenlang LIN ; Yang WANG ; Ling HE ; Mingxia LI ; Xinnian PAN ; Yan GUO ; Ling CHEN ; Cuiqing LIU ; Qin ZHOU ; Xiaoying LI ; Hong XIONG ; Yujie QI ; Mingyan HEI ; Yun CAO ; Siyuan JIANG ; Yi ZHANG ; K. Lee SHOO
Chinese Journal of Pediatrics 2017;55(3):182-187
Objective:
To investigate the incidence and pathogen distribution of ventilator-associated pneumonia (VAP) among preterm infants admitted to level Ⅲ neonatal intensive care units (NICU) in China.
Method:
A prospective study was conducted in 25 level Ⅲ NICU, enrolling all preterm infants <34 weeks gestational age admitted to the participating NICU within the first 7 days of life from May 2015 to April 2016. Chi-square test,


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