1.Non-invasive imaging of pathological scars using a portable handheld two-photon microscope
Yang HAN ; Yuxuan SUN ; Feili YANG ; Qingwu LIU ; Wenmin FEI ; Wenzhuo QIU ; Junjie WANG ; Linshuang LI ; Xuejun ZHANG ; Aimin WANG ; Yong CUI
Chinese Medical Journal 2024;137(3):329-337
Background::Pathological scars are a disorder that can lead to various cosmetic, psychological, and functional problems, and no effective assessment methods are currently available. Assessment and treatment of pathological scars are based on cutaneous manifestations. A two-photon microscope (TPM) with the potential for real-time non-invasive assessment may help determine the under-surface pathophysiological conditions in vivo. This study used a portable handheld TPM to image epidermal cells and dermal collagen structures in pathological scars and normal skin in vivo to evaluate the effectiveness of treatment in scar patients. Methods::Fifteen patients with pathological scars and three healthy controls were recruited. Imaging was performed using a portable handheld TPM. Five indexes were extracted from two dimensional (2D) and three dimensional (3D) perspectives, including collagen depth, dermo-epidermal junction (DEJ) contour ratio, thickness, orientation, and occupation (proportion of collagen fibers in the field of view) of collagen. Two depth-dependent indexes were computed through the 3D second harmonic generation image and three morphology-related indexes from the 2D images. We assessed index differences between scar and normal skin and changes before and after treatment.Results::Pathological scars and normal skin differed markedly regarding the epidermal morphological structure and the spectral characteristics of collagen fibers. Five indexes were employed to distinguish between normal skin and scar tissue. Statistically significant differences were found in average depth ( t = 9.917, P <0.001), thickness ( t = 4.037, P <0.001), occupation ( t= 2.169, P <0.050), orientation of collagen ( t = 3.669, P <0.001), and the DEJ contour ratio ( t = 5.105, P <0.001). Conclusions::Use of portable handheld TPM can distinguish collagen from skin tissues; thus, it is more suitable for scar imaging than reflectance confocal microscopy. Thus, a TPM may be an auxiliary tool for scar treatment selection and assessing treatment efficacy.
2.Serological evaluation and antibody prediction model for inactivated COVID-19 vaccination in school children
Li ZHANG ; Yingfeng CHEN ; Chuanwu MAO ; Yuyang XIE ; Pinkai YE ; Xiaolian DONG ; Lufang JIANG ; Qingwu JIANG
Shanghai Journal of Preventive Medicine 2024;36(4):368-374
ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province, following the immunization with inactivated COVID-19 vaccine, and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province, employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender, age, type of vaccine, and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay (CLIA). Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls, those who received two doses, and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender, age, vaccination dose, type of vaccine, and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population, which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.
3.Latent tuberculosis infection status and its risk factors among tuberculosis-related health-care workers in Shanghai
Lixin RAO ; Wei SHA ; Huili GONG ; Lihong TANG ; Liping LU ; Yan LIU ; Zheyuan WU ; Zurong ZHANG ; Xin SHEN ; Qingwu JIANG
Shanghai Journal of Preventive Medicine 2023;35(3):203-207
ObjectiveTo obtain the status of latent tuberculosis infection (LTBI) among tuberculosis (TB)-related health-care workers (HCWs) in Shanghai, and to explore the risk factors related to TB infection. MethodsA multi-center cross-sectional study was conducted by recruiting medical workers from multiple designated TB hospitals, centers for disease control and prevention, and community health service centers in Shanghai. Each subject was required to complete a questionnaire and to provide a blood sample for TB infection test. Univariate and multivariate analysis ware made in order to find risk factors relating to TB infection. ResultsA total of 165 medical workers were recruited, and the proportion of TB infection was 16.36% (95%CI: 11.49%‒22.76%). Multivariate logistic analysis showed that clinical doctors and nurses (adjusted OR=9.756, 95%CI: 1.790‒53.188), laboratory staffs (adjusted OR=78.975, 95%CI: 8.749‒712.918), and nursing and cleaning workers (adjusted OR=89.920, 95%CI: 3.111‒2 598.930) had higher risk of TB infection. ConclusionThe overall LTBI prevalence among TB-related HCWs is low. However, working as doctors, nurses, laboratory staffs, nursing workers and cleaning workers are risk factors of TB infection. TB-related HCWs who work at hospitals are at risk of TB infection comparing to medical staffs who work outside hospitals.
4.Spatio-temporal distribution of emerging snail-infested sites in different environmental types in Yunnan Province
Junhui HUANG ; Yun ZHANG ; Chunhong DU ; Jing SONG ; Ning XU ; Honglin JIANG ; Zhengzhong WANG ; Ying XIONG ; Yixin TONG ; Jiangfan YIN ; Feng JIANG ; Qingwu JIANG ; Yi DONG ; Yibiao ZHOU
Chinese Journal of Endemiology 2023;42(3):178-184
Objective:To explore the spatial and temporal distribution patterns of emerging snail-infested sites in different environmental types in Yunnan Province.Methods:The data of snail-infested sites in Yunnan Province from 1950 to 2014 (from Yunnan Institute for Endemic Diseases Control and Prevention), were collected and sorted out, a spatial and temporal database on the distribution of emerging snail-infested sites were established, and the changes in the spatial and temporal distribution of emerging snail-infested sites in different environments types (ditches, tangerines, paddy fields, dry land, beaches and other environments) were studied by using spatial autocorrelation analysis and scanning statistics analysis.Results:From 1950 to 2014, the annual number of emerging snail-infested sites in Yunnan Province reached a peak (1 730) in 1955 and then showed a fluctuating downward trend. From 1993 to 2014, the number of emerging snail-infested sites remained below 100, and increased to 160 and 131, respectively, in 2004 and 2013. The longest mean duration of 43.85 years was recorded for the beaches environment for emerging snail-infested sites, followed by the paddy fields environment with a mean duration of 37.01 years, and the shortest mean duration of 20.44 years for the tangerines environment. Spatial autocorrelation analysis showed that there was a positive spatial correlation between the duration of emerging snail-infested sites of different environmental types (global Moran's I ranged from 0.43 to 0.64, P < 0.05). Scanning statistics analysis showed that emerging snail-infested sites of different environmental types had spatial and temporal aggregation ( P < 0.001), with 3- 6 clusters of statistically significant aggregation detected respectively. Conclusion:The emerging snail-infested sites in different environments types in Yunnan Province have spatial and temporal aggregation, and it is necessary to strengthen monitoring and prevention and control of the aggregation areas of different environment types to prevent further spread of the snail.
5.Distribution characteristics of antibiotic resistance genes in the domestic water of residents in Haimen, Jiangsu Province
Chuanwu MAO ; Li ZHANG ; Jinxin ZANG ; Lufang JIANG ; Chenglong XIONG ; Na WANG ; Feng JIANG ; Chaowei FU ; Jingjing HU ; Qingwu JIANG
Shanghai Journal of Preventive Medicine 2023;35(12):1199-1205
ObjectiveAntibiotic resistance genes (ARGs) have received wide attention all over the world. The purpose of this study was to explore the bacterial community structure, the types and levels of antibiotic resistance genes in a water body in east China, and to compare and analyze the characteristics of microbial species distribution and antibiotic resistance gene distribution in various water environments. MethodsA total of 10 households in Haimen City, Jiangsu Province were selected and their surrounding water environment samples were collected. 21 water samples including river water (4), Mingou water (9) and well water (8) were collected for metagenomics sequencing, assembled with MetaWRAP, annotated with CARD database, and analyzed with R software. ResultsIn various water bodies, the dominant bacteria phyla was Proteobacteria, the dominant bacteria genera were Deuterostomia, Pseudomonas, Flavobacteriales and Streptomycetaceae. The ARGs annotated were mainly composed of quinolones, aminoglycosides, macrolides and beta-lactams antibiotic resistance genes. The top four relative abundance of resistance genes were macB, RanA, evgS and TxR, The average absolute abundance and expression of resistance genes in well water and Mingou water were higher than those in river water. ConclusionMultiple ARGs are detected to varying degrees in well water, river water, and Mingou water bodies, and the expression of resistance genes in well water and Mingou water bodies is higher than that in river water bodies, possibly due to human production and living activities.
6.Correlation between serum GDNF level and neuroimaging changes and cognitive impairment in patients with cerebral small vessel disease
Fangli YANG ; Hao LIU ; Fan WANG ; Qing LI ; Xiyan CHEN ; Ruiyan CAI ; Qingwu WU ; Jian ZHANG ; Sibei JI ; Chengbiao LU ; Shaomin LI ; Jianhua ZHAO
Chinese Journal of Behavioral Medicine and Brain Science 2023;32(9):809-815
Objective:To investigate the relationship between serum glial cell line-derived neurotrophic factor (GDNF) levels and neuroimaging changes and cognitive impairment in patients with cerebral small vascular disease (CSVD).Methods:135 patients with CSVD recruited from the Department of Neurology of the First Affiliated Hospital of Xinxiang Medical University from September 2021 to July 2022 were assessed by cranial multimodal magnetic resonance imaging and Montreal cognitive function assessment (MoCA), and the basic data were analyzed at the same time.The serum GDNF concentration of all patients was detected by enzyme-linked immunosorbent assay (ELISA). According to the median GDNF concentration, the patients were divided into low GDNF group and high GDNF group. The baseline data, MoCA score and imaging markers of the two groups were compared by Mann-Whitney U test, chi-square test, logistic regression, Kruskal-Wallis H test and Jonckheere-Terpstra trend test, and the correlation between serum GDNF level and imaging markers and cognitive function of patients with CSVD was analyzed. Results:The median serum GDNF concentration of all CSVD patients was 16.66 pg/mL. Multivariate logistic regression analysis showed that low serum GDNF level was a risk factor for white matter hyperintensity and total image load in patients with CSVD. Serum GDNF level was a protective factor of cognitive impairment in patients with CSVD in multiple logistic regression analysis. The area under the curve of ROC curve analysis of cognitive impairment after CSVD predicted by serum GDNF level was 0.735, the sensitivity was 66.4%, and the specificity was 71.4%. The level of serum GDNF was positively related with visual space and executive function, attention and computational power, delayed recall and orientation( r=0.267, 0.187, 0.219, 0.215, all P<0.05). Conclusion:The serum GDNF level is related to white matter hyperintensities, total imaging load and cognitive impairment in patients with CSVD. Serum GDNF level may play a predictive role in CSVD and cognitive impairment.
7.Serological evaluation of immune effect of inactivated COVID-19 vaccine in adult population in Deqing County, Huzhou City, Zhejiang Province
Chuanwu MAO ; Yingfeng CHEN ; Li ZHANG ; Yuyang XIE ; Xiaolian DONG ; Lufang JIANG ; Qingwu JIANG
Shanghai Journal of Preventive Medicine 2022;34(11):1118-1122
ObjectiveTo investigate the specific anti-SARS-CoV-2 antibody in adults and above after initial vaccination with inactivated COVID-19 vaccine, and determine the influencing factors. MethodsIn this study, residents aged 18 and above who had completed two doses of inactivated COVID-19 vaccine in Deqing County, Huzhou City, Zhejiang Province were included. Information such as gender, age, type of vaccine and vaccination time were collected, and serum specimens were sampled. Anti-SARS-CoV-2 receptor binding domain (RBD) antibody was quantitatively examined by enzyma-linked immunosorbent assay (ELISA) and influencing factors were determined. ResultsThe median concentration of anti-SARS-CoV-2 IgG antibody in the residents vaccinated with an inactivated booster vaccine was higher than that in those vaccinated with only two doses of COVID-19 vaccine or single dose (P<0.05). The median concentration of IgG antibody in males was 9.73 (4.01‒23.70) RU‧mL-1, lower than 17.76 (7.07‒49.23) RU‧mL-1 in females (P<0.05). The median concentration in the residents vaccinated with BBIBP-CorV (Sinopharm) was 6.53 (0.97‒13.69) RU‧mL-1, which was lower than that in those vaccinated with CoronaVac (Sinovac) that was 17.29 (8.54‒43.73) RU‧mL-1 (P<0.05). The median concentration in those with BBIBP-CorV was also lower than 12 (5.45‒40.06) RU‧mL-1 in those with heterologous booster vaccine (P<0.05). The median concentration was 9.73 (3.83‒23.63) RU‧mL-1 in the residents with an interval of more than 6 months from the second dose, which was lower than 14.66 (6.36‒35.98) RU‧mL-1 in those with an interval of 3‒6 months (P<0.05). Moreover, immune effect was better in females (χ²=16.464, P<0.05), 18‒45 years(χ²=7.158, P<0.05), and those vaccinated with CornaVac (χ²=49.637, P<0.05), while decreased in those with an interval of more than 6 months from the second dose (χ²=8.447, P<0.05). ConclusionGender, age, and type of vaccine may affect the effect of immunization. The COVID-19 vaccination shows an acceptable immunogenicity in adults; however, it declines in 6 months after vaccination. It warrants strengthening the booster vaccination to maintain the immune response.
8.Using Markov Chain Monte Carlo methods to estimate the age-specific case fatality rate of COVID-19
Zhicheng DU ; Yuantao HAO ; Yongyue WEI ; Zhijie ZHANG ; Sipeng SHEN ; Yang ZHAO ; Jinling TANG ; Feng CHEN ; Qingwu JIANG ; Liming LI
Chinese Journal of Epidemiology 2020;41(11):1777-1781
Objectives:The COVID-19 epidemic has swept all over the world. Estimates of its case fatality rate were influenced by the existing confirmed cases and the time distribution of onset to death, and the conclusions were still unclear. This study was aimed to estimate the age-specific case fatality rate of COVID-19.Methods:Data on COVID-19 epidemic were collected from the National Health Commission and China CDC. The Gamma distribution was used to fit the time from onset to death. The Markov Chain Monte Carlo simulation was used to estimate age-specific case fatality rate.Results:The median time from onset to death of COVID-19 was M=13.77 ( P25- P75: 9.03-21.02) d. The overall case fatality rate of COVID-19 was 4.1 % (95 %CI: 3.7 %-4.4 %) and the age-specific case fatality rate were 0.1 %, 0.4 %, 0.4 %, 0.4 %,0.8 %, 2.3 %, 6.4 %, 14.0 and 25.8 % for 0-, 10-, 20-, 30-, 40-, 50-, 60-, 70- and ≥80 years group, respectively. Conclusions:The Markov Chain Monte Carlo simulation method adjusting censored is suitable for case fatality rate estimation during the epidemic of a new infectious disease. Early identification of the COVID-19 case fatality rate is helpful to the prevention and control of the epidemic.
9. Correalation between injury of draining veins around meningiomas in superficial middle cerebral vein areas and postoperative cognitive changes
Lei YI ; Zongping ZHANG ; Haibin FENG ; Qingwu WU ; Feng YE
Chinese Journal of Primary Medicine and Pharmacy 2019;26(18):2186-2190
Objective:
To explore the correalation between change of postoperative cognitive function and injury of the draining veins around meningiomas in superficial middle cerebral vein areas, to discuss the importance and protection method of draining veins around meningiomas in order to guide the microneurosurgery.
Methods:
From July 2013 to July 2017, the clinical data of 54 patients with superficial middle cerebral vein areas meningiomas(tumor group) in the Central Hospital of Guangdong Nongken were retrospectively analyzed.And 52 healthy volunteers were selected as the control group.The preoperative and postoperative cognitive function and meningiomas peritumoral edema(MPE) were assessed by the Montreal Cognitive Assessment(MoCA) and CT/MRI.
Results:
The scores of visuospatial and executive[(3.23±1.27)points], order[(2.52±1.27)points], memory[(2.20±1.14)points], attention[(4.71±0.97)points], language[(2.19±0.74)points], abstract[(1.43±0.63)points], location[(5.83±0.42)points], total[(22.06±0.33)points] in the tumor group were significantly lower than those in the control group[(4.83±0.38)points, (3.0±0.02)points, (3.5±1.04)points, (5.98±0.14)points, (2.54±0.50)points, (1.88±0.38)points, (5.98±0.33)points, (27.83±0.16)points](
10.Spatial distribution of fluoride in drinking-water in Shandong Province based on a geographic information system
Jie GAO ; Hongxu GAO ; Zhongjie YUN ; Yuyan YIN ; Benzheng ZHANG ; Peizhong CHEN ; Yi HU ; Zhijie ZHANG ; Qingwu JIANG
Chinese Journal of Endemiology 2018;37(4):283-286
Objective To detect the spatial distribution characteristics of water fluoride in Shandong Province.Methods The county-based study set Shandong Province as a research site.The county level fluoride database was matched with electronic maps to build geographic information system (GIS) spatial data platform.Global Moran's I and Local Moran's I index were calculated,respectively,and the cluster range of water fluoride distribution in Shandong Province was studied through SaTScan software.Results The water fluoride was normal (≤ 1.0 mg/L) in 54 counties in Shandong Province,mainly located in Weihai and Yantai in the eastern,Dongying in northern,and vast region in middle and southeastern of Shandong Province.Eighty-six counties were high water fluoride counties (> 1.0 mg/L),mainly distributed in the southwest,northwest and north-central of Shandong Province,showing a significant geographical feature.Global spatial autocorrelation analysis showed that the distribution of water fluoride content in Shandong Province showed significant positive spatial autocorrelation (Moran's I =0.44,Z =6.83,P < 0.01).Local Moran's I analysis showed water fluoride in 13 counties had local spatial autocorrelation,being all high-high clusters.And these results were statistically significant (P < 0.05).A cluster area was detected through SaTScan spatial analysis software,including 15 counties.The center was located in Dongming County of Heze City,with radius of 130.08 km.The results and the local spatial autocorrelation results were basically consistent.Conclusions There are apparent spatial autocorrelation and spatial cluster in water fluoridation in Shandong Province.Spatial autocorrelation and SaTScan software can be combined in exploring the spatial distribution of water fluoride.

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