1.Assessment of cheese sign and its association with vascular risk factors: Data from PUMCH dementia cohort
Xinying HUANG ; Bo HOU ; Jie WANG ; Jie LI ; Li SHANG ; Chenhui MAO ; Liling DONG ; Caiyan LIU ; Feng FENG ; Jing GAO ; Bin PENG
Chinese Medical Journal 2024;137(7):830-836
Background::In the clinic, practitioners encounter many patients with an abnormal pattern of dense punctate magnetic resonance imaging (MRI) signal in the basal ganglia, a phenomenon known as "cheese sign". This sign is reported as common in cerebrovascular diseases, dementia, and old age. Recently, cheese sign has been speculated to consist of dense perivascular space (PVS). This study aimed to assess the lesion types of cheese sign and analyze the correlation between this sign and vascular disease risk factors.Methods::A total of 812 patients from Peking Union Medical College Hospital (PUMCH) dementia cohort were enrolled. We analyzed the relationship between cheese sign and vascular risk. For assessing cheese sign and defining its degree, the abnormal punctate signals were classified into basal ganglia hyperintensity (BGH), PVS, lacunae/infarctions and microbleeds, and counted separately. Each type of lesion was rated on a four-level scale, and then the sum was calculated; this total was defined as the cheese sign score. Fazekas and Age-Related White Matter Changes (ARWMC) scores were used to evaluate the paraventricular, deep, and subcortical gray/white matter hyperintensities.Results::A total of 118 patients (14.5%) in this dementia cohort were found to have cheese sign. Age (odds ratio [OR]: 1.090, 95% confidence interval [CI]: 1.064-1.120, P <0.001), hypertension (OR: 1.828, 95% CI: 1.123-2.983, P = 0.014), and stroke (OR: 1.901, 95% CI: 1.092-3.259, P = 0.025) were risk factors for cheese sign. There was no significant relationship between diabetes, hyperlipidemia, and cheese sign. The main components of cheese sign were BGH, PVS, and lacunae/infarction. The proportion of PVS increased with cheese sign severity. Conclusions::The risk factors for cheese sign were hypertension, age, and stroke. Cheese sign consists of BGH, PVS, and lacunae/infarction.
2.Comparative study on the theme of traditional Chinese medicine policies among different provinces of China
Shuang YANG ; Ruifeng LI ; Xinying AN ; Zhihong XIAO ; Hongyun WANG ; Yan WANG ; Huan GOU ; Peng GAO ; Youliang HUANG
China Pharmacy 2023;34(6):653-659
OBJECTIVE To clarify the core content of traditional Chinese medicine (TCM) policy in the provinces of China, so as to provide reference for optimizing the structure of the policy system of traditional Chinese medicine in China and assisting the inheritance and innovation of TCM industry in various regions. METHODS The websites of directly affiliated organs in 31 provinces, excluding Hong Kong, Macao and Taiwan, were retrieved to collect the TCM policies released from 2000 to 2021. The importance of keywords in the TCM policies of each province was measured based on term frequency-inverse documentation frequency (TF-IDF) keyword extraction method, and the similarities and differences were analyzed among TCM policies. RESULTS & CONCLUSIONS A total of 99 documents related to TCM policies of various provinces were obtained in this study, most of which were released after 2016. The theme of national TCM policy covered four aspects: building TCM talent team, perfecting TCM service system, strengthening TCM resource management and promoting TCM industry innovation. The TF-IDF values of “medical institutions”“traditional Chinese medicine”“medical treatment” were higher than other keywords in each province, indicating that the provinces paid more attention to the construction of TCM service system and the management of TCM resources than other aspects. Anhui and Jiangsu, Beijing and Henan, Hubei and Jilin, Hubei and Tianjin, and Hubei and Yunnan had the more degree of similarity in TCM policies, which all contained 16 of the same keywords. Therefore, the above regions should be encouraged to strengthen exchanges and cooperation and realize mutual promotion and joint development. Among all the keywords whose importance ratio was greater than 0.2,“ Tibetan medicine” was unique to Qinghai and Tibet,“ disease type” was unique to Guangdong, and the TF-IDF value of “supervision and management” in Beijing was higher, indicating that the emphasis of TCM policy formulation in different provinces was various. Meanwhile, the top 10 keywords of TF- IDF value in all provinces did not have words related to financial input, and the TF-IDF values of “informatization” in most provinces did not rank at the top. It is suggested to increase financial input or encourage social financing, and add “Internet+new business” in the field of TCM.
3. Changes of tau protein in cerebrospinal fluid of sporadic Creutzfeldt-Jakob disease
Xinying HUANG ; Chenhui MAO ; Longze SHA ; Caiyan LIU ; Liling DONG ; Yan ZHOU ; Jie LI ; Dan LEI ; Mengyu ZHANG ; Dongchao SHEN ; Qin LI ; Shanshan CHU ; Qi XU ; Bin PENG ; Liying CUI ; Jing GAO
Chinese Journal of Neurology 2020;53(1):25-30
Objective:
To evaluate the value of cerebrospinal fluid markers expecially total-tau protein (T-tau), phosphorylated-tau protein (P-tau) in diagnosis and differentiation of sporadic Creutzfeldt-Jakob disease (sCJD).
Methods:
sCJD (according to 2009
4. Lung cancer deaths attributable to ambient PM2.5 exposure in 2016 in China
Jing YANG ; Peng YIN ; Xinying ZENG ; Jinling YOU ; Yanfang ZHAO ; Zhuoqun WANG ; Maigeng ZHOU
Chinese Journal of Preventive Medicine 2019;53(5):475-479
Objective:
To analyze the lung cancer deaths attributable to ambient PM2.5 exposure in China in 2016.
Methods:
All data were from the Global Burden of Disease Study 2016 (GBD 2016). Multiple-source data, including satellite observation, ground measurement, chemical migration model simulation, etc., and the data integration model for air quality (DIMAQ) were used to estimate the grid-level exposure to ambient PM2.5. Data from the vital registry and cancer registry were used to establish statistical model to estimate the lung cancer deaths by province, age and gender. The lung cancer deaths attributable to PM2.5 were calculated based on the calculation of population attributable fraction (PAF). The GBD world population age structure was adopted to calculate age-standardized rates for comparison among provinces (including 31 provinces, autonomous regions and municipalities directly under the central government, as well as Hong Kong and Macao special administrative regions, excluding Taiwan of China).
Results:
In 2016, the lung cancer deaths attributable to ambient PM2.5 exposure in China were 14.56×104 (95% uncertainty interval (
5.Effects of Benzoxazole Derivative PO- 296 on Dendritic Cell Differentiation and Related Indexes
Xinying ZHU ; Miao YANG ; Can XU ; Xu PENG ; Jiayi DUAN ; Dan LIU ; Yantang WANG
China Pharmacy 2019;30(18):2474-2480
OBJECTIVE: To investigate the effects of benzoxazole derivative 2-(chlorobenzoxazolyl-2-yl)-4,5,6,7-tetrahydro- dihydro-indazole-3-ol (PO-296) on the differentiation of murine bone marrow-derived dendritic cells(DC) and their related indexes as specific surface molecules and inflammatory cytokines. METHODS: Bone marrow nuclear cells of mice were isolated, and immature DC (imDC) was obtained by recombinant mice granulocyte macrophage colony-stimulating factor and recombinant mice IL-4. After pretreated with low-dose, medium-dose and high-dose (1, 5, 25 μmol/L) of PO-296, DC was obtained by lipopolysaccharide induction. Flow cytometry was used to detect the expression of DC specific surface molecules [i.e. the proportion of class Ⅱ major histocompatibility complex (MHC Ⅱ), CD80, CD86 and chemokine receptor 7 (CCR7) positive cells], imDC phagocytosis (i.e. the proportion of dextran positive cells) and DC survival (i.e. the proportion of survival cells). ELISA method was used to detect the levels of inflammatory cytokines (IL-10, IL-12 and TNF-α) in cell culture medium. RESULTS: Compared with imDC group, the proportion of MHC Ⅱ, CD80 and CD86 positive cells were increased significantly in non-loading group (P<0.05). Compared with non-loading group, the levels of IL-10 in cell culture medium were increased significantly in PO-296 groups. The proportions of MHC Ⅱ, CD80 and CD86 positive cells in positive group and PO-296 medium-dose and high-dose groups as well as the levels of IL-12 and TNF-α in cell culture medium in administration groups were decreased significantly (P<0.05). There was no statistical significance in the proportion of CCR7 positive cells, dextran positive cells and survival cells in administration groups, compared with non-loading group (P>0.05). CONCLUSIONS: PO-296 has no obvious cytotoxicity and does not affect the phagocytic function of imDC. At the same time, the compound can inhibit the expression of DC specific surface molecules and regulate the secretion of inflammatory cytokines.
6. The disease burden of pancreatic cancer in China in 1990 and 2017
Xiaohui XU ; Xinying ZENG ; Lijun WANG ; Yunning LIU ; Jiangmei LIU ; Jinlei QI ; Peng YIN ; Maigeng ZHOU
Chinese Journal of Epidemiology 2019;40(9):1084-1088
Objective:
To analyze the disease burden of pancreatic cancer in China in 1990 and 2017.
Methods:
Province-specific data in China from the Global Burden of Disease Study (GBD) 2017 were used to describe the change of death status, disease burden of pancreatic cancer in Chinese population by specific province and age groups, including incidence, mortality, disability-adjusted life years (DALY), years of life lost (YLL) due to premature mortality and years lived with disability (YLD) in 1990 and 2017. Meanwhile the incidence, mortality, DALY rate, YLL rate, YLD rate were standardized by the GBD global standard population in 2017.
Results:
In 2017, the new cases of pancreatic cancer, incidence and age-standardized incidence accounted for 83.6 thousand, 5.92/100 000 and 4.37/100 000 in China, with an increase of 230.94
7.Lung cancer deaths attributable to ambient PM2.5 exposure in 2016 in China
Jing YANG ; Peng YIN ; Xinying ZENG ; Jinling YOU ; Yanfang ZHAO ; Zhuoqun WANG ; Maigeng ZHOU
Chinese Journal of Preventive Medicine 2019;53(5):475-479
Objective To analyze the lung cancer deaths attributable to ambient PM2.5 exposure in China in 2016. Methods All data were from the Global Burden of Disease Study 2016 (GBD 2016). Multiple?source data, including satellite observation, ground measurement, chemical migration model simulation, etc., and the data integration model for air quality (DIMAQ) were used to estimate the grid?level exposure to ambient PM2.5. Data from the vital registry and cancer registry were used to establish statistical model to estimate the lung cancer deaths by province, age and gender. The lung cancer deaths attributable to PM2.5 were calculated based on the calculation of population attributable fraction (PAF). The GBD world population age structure was adopted to calculate age?standardized rates for comparison among provinces (including 31 provinces, autonomous regions and municipalities directly under the central government, as well as Hong Kong and Macao special administrative regions, excluding Taiwan of China). Results In 2016, the lung cancer deaths attributable to ambient PM2.5 exposure in China were 14.56×104 (95% uncertainty interval ( UI ): 9.63×104-19.55×104), accounting for 24.66% (95% UI : 16.38%-33.12%) of total lung cancer deaths. The lung cancer death rate attributable to PM2.5 increased with age, with the lowest among 25-29 age group (0.25/105, 95%UI:0.17/105-0.34/105), the highest among≥80 age group (90.70/105, 95%UI: 59.85/105-122.20/105). The lung cancer death rate attributable to PM2.5 among males (14.84/105, 95% UI : 9.78/105-19.93/105) was higher than that in females (6.21/105, 95% UI : 4.07/105-8.40/105). The age?standardized death rates (ASDR) of lung cancer attributable to PM2.5 among males and females in China were higher than the global average level. The attributable ASDR of lung cancer varied among provinces, highest in Shandong (13.51/105, 95% UI : 9.14/105-18.20/105) and lowest in Tibet (0.85/105, 95% UI : 0.44/105-1.51/105). Conclusion In 2016, the lung cancer deaths attributable to ambient PM2.5 exposure in China was heavy, and varied in different age groups, genders and provinces.
8.Lung cancer deaths attributable to ambient PM2.5 exposure in 2016 in China
Jing YANG ; Peng YIN ; Xinying ZENG ; Jinling YOU ; Yanfang ZHAO ; Zhuoqun WANG ; Maigeng ZHOU
Chinese Journal of Preventive Medicine 2019;53(5):475-479
Objective To analyze the lung cancer deaths attributable to ambient PM2.5 exposure in China in 2016. Methods All data were from the Global Burden of Disease Study 2016 (GBD 2016). Multiple?source data, including satellite observation, ground measurement, chemical migration model simulation, etc., and the data integration model for air quality (DIMAQ) were used to estimate the grid?level exposure to ambient PM2.5. Data from the vital registry and cancer registry were used to establish statistical model to estimate the lung cancer deaths by province, age and gender. The lung cancer deaths attributable to PM2.5 were calculated based on the calculation of population attributable fraction (PAF). The GBD world population age structure was adopted to calculate age?standardized rates for comparison among provinces (including 31 provinces, autonomous regions and municipalities directly under the central government, as well as Hong Kong and Macao special administrative regions, excluding Taiwan of China). Results In 2016, the lung cancer deaths attributable to ambient PM2.5 exposure in China were 14.56×104 (95% uncertainty interval ( UI ): 9.63×104-19.55×104), accounting for 24.66% (95% UI : 16.38%-33.12%) of total lung cancer deaths. The lung cancer death rate attributable to PM2.5 increased with age, with the lowest among 25-29 age group (0.25/105, 95%UI:0.17/105-0.34/105), the highest among≥80 age group (90.70/105, 95%UI: 59.85/105-122.20/105). The lung cancer death rate attributable to PM2.5 among males (14.84/105, 95% UI : 9.78/105-19.93/105) was higher than that in females (6.21/105, 95% UI : 4.07/105-8.40/105). The age?standardized death rates (ASDR) of lung cancer attributable to PM2.5 among males and females in China were higher than the global average level. The attributable ASDR of lung cancer varied among provinces, highest in Shandong (13.51/105, 95% UI : 9.14/105-18.20/105) and lowest in Tibet (0.85/105, 95% UI : 0.44/105-1.51/105). Conclusion In 2016, the lung cancer deaths attributable to ambient PM2.5 exposure in China was heavy, and varied in different age groups, genders and provinces.
9.Doctor-patient communication under Jauhari Window
Caiying GE ; Wei PENG ; Zhili LI ; Ming KONG ; Xinying ZHAO ; Wenjuan GAO ; Hao WU
Chinese Journal of General Practitioners 2017;16(8):644-646
Effective doctor-patient communication not only affects the doctor-patient relationship,but also affects the normal medical practice.Johari window is referred to as theself consciousness discovery-feedback model or information exchange process management tool.This article introduces the relationship between self-exposure and experience feedback by doctors and patients.As a skill and theory about communication,Johari widow can help doctors to better understand their patients and to improve their ability of communication.
10. Survey on burden of disease attributable to low fruit intake among Chinese people aged 15 years old and above between 1990 and 2013
Jianhong LI ; Xinying ZENG ; Yichong LI ; Shiwei LIU ; Jingya NIU ; Lijun WANG ; Peng YIN ; Jinling YOU ; Maigeng ZHOU
Chinese Journal of Preventive Medicine 2017;51(10):903-909
Objective:
To analyze the burden of disease attributable to low fruit intake among Chinese population aged ≥15 years old between 1990 and 2013.
Methods:
We used data from the 2013 Global Burden of Disease Burden of Disease Study to study the situation in China. The population attributable fraction was calculated to estimate and compare the death and disability-adjusted life years (DALY) attributed to low fruit intake between 1990 and 2013 in China (excluded Taiwan, China). An average world population age structure of the period 2000-2025 was adopted to calculate age-standardized rates.
Results:
Deaths attributable to low fruit intake accounted for 11.02% of all death in 2013, which were higher than it in 1990 (10.38%). In 2013, the number of deaths attributed to low fruit intake in China increased to 1 046 500 from 793 800 in 1990. From 1990-2013, the age-standardized death rate attributable to low fruit intake decreased from 113.04/100 000 to 79.80/100 000. DALYs caused by low fruit intake increased from 18.346 5 million in 1990 to 21.296 7 million in 2013. Compared with 1990, the age-standardized DALY rate attributed to low fruit intake decreased by 34.67%. In 2013, the top three provinces with the highest burden of disease attributed to low fruits intake were Tibet, Guizhou and Xinjiang provinces, with standardized DALY rate at 2 612.53/100 000, 2 281.85/100 000 and 2 198.22/100 000, respectively. Compared with the results in 1990, the standardized DALY attributed to low fruits intake decreased, especially in Tianjin, where decreased by 63.61%; followed by Aomen, Zhejiang, Shanghai and Beijing, where decreased by 59.74%, 59.53%, 56.64% and 53.88%, respectively.
Conclusion
Compared with the situation in 1990, the burden of disease attributable to low fruit intake decreased in 2013, but the situation is still serious, especially in Tibet, Guizhou and Xinjiang provinces, where the burden decreased comparatively slowly.

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