1.Self-reported hair loss and its influencing factors among universitystudents in Hangzhou City
Yi WANG ; Wenxiao CHEN ; Xiaozhen WANG ; Fuyu ZHU ; Xiaoqiang HU ; Dahui WANG ; Liangwen XU
Journal of Preventive Medicine 2022;34(2):135-141
Objective:
To investigate the status of hair loss and analyze the influencing factors among university students in Hangzhou City, so as to provide insights into the management of hair loss among university students.
Methods:
University students were recruited using a convenient sampling method from 4 universities in Hangzhou City in June 2021. The basic characteristics and life styles were collected using online questionnaire surveys. Self-reported hair loss was evaluated using the grading scales for loss of hair (Hamilton-Norwood scale for males and modified Ludwig scale for females), and factors affecting self-reported hair loss were identified among university students using the multivariable logistic regression model.
Results:
A total of 1 060 questionnaires were allocated, and 1 038 valid questionnaires were recovered, with an effective recovery rate of 97.92%. The respondents included 391 males ( 37.67% ) and 647 females ( 62.33% ), and 463 respondents ( 44.61% ) reported hair loss, including 431 students with mild hair loss ( 93.09% ). Multivariable logistic regression analysis showed that university students in their fourth or fifth years ( OR=1.721, 95%CI: 1.126-2.630 ), art specialty ( OR=0.411, 95%CI: 0.207-0.816 ), overweight or obesity (OR=1.685, 95%CI: 1.050-2.704), diet taste ( sweet: OR=2.131, 95%CI: 1.370-3.316; spicy: OR=1.510, 95%CI: 1.028-2.218; greasy: OR=3.023, 95%CI: 2.015-4.537 ), feeling nervous/anxious (occasionally: OR=1.891, 95%CI: 1.087-3.289; frequently: OR=2.487, 95%CI: 1.337-4.626 ), smoking ( occasionally: OR=1.906, 95%CI: 1.067-3.405; frequently: OR=1.983, 95%CI: 1.050-3.746), family history of hair loss ( OR=1.506, 95%CI: 1.075-2.110 ), perming/dyeing hair ( occasionally: OR=1.795, 95%CI: 1.280-2.517; frequently: OR=3.282, 95%CI: 1.736-6.204), self-perceived oily hair/scalp in the past three months (slightly increased: OR=1.980, 95%CI: 1.477-2.653; significantly increased: OR=5.347, 95%CI: 2.956-9.670) were factors affecting self-reported hair loss among university students.
Conclusion
The proportion of self-reported hair loss was 44.61% among university students in Hangzhou City, and hair loss was predominantly mild. A family history of hair loss, nervousness/anxiety, diet habits, smoking and frequency of perm/dyeing hair may affect hair loss among university students.
2.Oxamate alleviates silicotic fibrosis in mice by inhibiting senescence of alveolar type II epithelial cells
Wenjing LIU ; Na MAO ; Yaqian LI ; Xuemin GAO ; Zhongqiu WEI ; Ying ZHU ; Hong XU ; Fuyu JIN
Journal of Environmental and Occupational Medicine 2024;41(7):760-767
Background The senescence of alveolar type II epithelial cells is an important driving factor for the progression of silicotic fibrosis, and the regulatory effects of oxamate on the senescence of alveolar type II epithelial cells is still unclear. Objective To explore whether lactate dehydrogenase inhibitor oxamate can alleviate silicotic fibrosis in mice by inhibiting senescence of alveolar type II epithelial cellsMethods This study was divided into two parts: in vivo experiments and in vitro experiments. In the first part, forty SPF C57BL/6J male mice were randomly divided into four groups with 10 in each group: control group, silicosis model group, low-dose oxamate treatment group, and high-dose oxamate treatment group. The silicotic mouse model was established by intratracheal instillation of 50 μL SiO2 suspension (100 mg·mL−1). The treatment models were prepared by intraperitoneal injection of 100 μL oxamate (225 mmol·L−1 and
3.Haemodynamic changes in high altitude pulmonary edema and effects of oxygen breathing
Xinbing MU ; Suzhi LI ; Yuqi GAO ; Fuyu LIU ; Ganglin YE ; Hongya TANG ; Dan ZHU ; Xiaobo ZHOU ; Guangli CHEN
Chinese Journal of Pathophysiology 2000;0(08):-
AIM: To explore the pathogenic mechanism of high altitude pulmonary edema(HAPE). METHODS: Haemodynamic changes and effects of 100 percent oxygen breathing were measured by Swan-Ganz thermistor catheters, high altitude healthy volunteers were served as controls. RESULTS: The important features of haemodynamic changes in HAPE: (1)Pulmonary arterial pressure was raised; (2)Pulmonary arterial resistance and cardiac output were raised; (3)Pulmonary artery wedge pressures and right atrial pressure were normal; (4)Pulmonary arterial pressure and resistance were induced by oxygen breathing. CONCLUSIONS: The normal pulmonary artery wedge pressures with a high cardiac output indicated that HAPE was recognized as a form of noncardiogenic pulmonary edema. The pulmonary hypertension may play an important role in the development of HAPE.
4.Atmospheric PM2.5 exposure on semen quality in adult men in Taizhou
Fuyu HU ; Tingting GUO ; Shanshan ZHU ; Jing HUA ; Yiping LIU ; Liming ZHANG ; Yingying YANG
Journal of Preventive Medicine 2019;31(1):20-22
Objective:
To explore the effects of ambient fine particulate matter(PM2.5)exposure on semen quality in healthy adult men .
Methods:
The semen quality data were collected from the pre-pregnancy check outpatient of Taizhou Central Hospital from August 2014 to December 2017,excluding the patients with any disease of reproductive system. The data of daily pollutant concentration of this area during the same period were also collected to estimate the exposures of PM2.5,PM10,SO2,NO2,O3 and CO during 90 days before each semen examination. Logistic regression model was applied to estimate the association between PM2.5 exposure and semen quality .
Results:
A total of 3 456 healthy adult men were included in this study. The median (interquartile range)of the total sperm count of the 3 456 subjects was 161.00(122.00)×106,and 94.40% of the subjects could reach the lower reference limit for sperm count. The median(interquartile range)of the sperm concentration was 22.20(18.80)×106/mL,and 69.50% of the subjects were qualified. The median(interquartile range)of the sperm vitality was 55.30%(23.37%),and 44.10% of the subjects were qualified. The median(interquartile range)of daily average concentration of PM2.5 at 0-90 days before semen examination was 37.82(12.33)μg/m3. The results of multivariate logistic regression model showed that,with each 12.33 μg/m3 increase of PM2.5 exposures at 0-90 days before semen examination,the odds ratios of unqualified sperm concentration,sperm motility and sperm vitality were 1.236(95%CI:1.041-1.466),1.493(95%CI:1.260-1.770)and 1.462(95%CI:1.246-1.715),respectively .
Conclusion
The results suggested that high concentration of ambient PM2.5 exposure during the sperm development period negatively affects sperm concentration,sperm motility and sperm vitality.
5.Quantitative evaluation of the degrees of qualitative syndromes commonly encountered in patients with coronary heart disease.
Dongtao LI ; Jie LI ; Jian WANG ; Fuyu LI ; Jingxiu ZHU ; Meizeng ZHANG ; Junyan LI ; Yanlai XU ; Lingbo WEI ; Wenyan JI ; Rongqin JIANG ; Xuefa LIU
Journal of Integrative Medicine 2010;8(8):750-6
Objective: To establish a quantitative model for evaluating the degree of traditional Chinese medicine (TCM) syndromes often seen in patients with coronary heart disease (CHD). Methods: Medical literature concerning clinical investigation of TCM syndromes of CHD was collected and organized, and the "Hall for Workshop of Metasynthetic Engineering" expert symposium method was applied. First, the 100 millimeter scaling was used for combining with scoring on degree of symptoms to establish a quantitative criterion for classification of symptom degree in CHD patients, and the model was established by using comprehensive analytic hierarchy process as the mathematical tool to estimate the weight of the criterion for evaluating qualitative syndromes in various layers by specialists. Then the model was verified in clinical practice and the outcomes were compared with fuzzy evaluation from the specialists. Results: A total of 287 clinical observation forms on CHD cases were collected, and 167 forms were available after excluding any irregular forms. The results showed that basic coincidence rate between the outcomes derived from specialists and those from the model was 68.26% (114/167), and part coincidence rate was 88.62%(148/167). Conclusion: This model, with good rationality and feasibility, has a high coincidence rate with fuzzy evaluation from specialists, and can be promoted in clinical practice. It is a good quantitative model for evaluating the degree of TCM syndromes of CHD.
6.Direct secretory expression of active microbial transglutaminase in Pichia pastoris.
Pengfei LI ; Hongbing SUN ; Lijin YOU ; Fuyu GONG ; Zao CHEN ; Ailian ZHANG ; Taicheng ZHU
Chinese Journal of Biotechnology 2013;29(2):180-188
Direct secretory expression of active microbial transglutaminase (MTG) using heterologous hosts is a promising strategy, although its production level still needs to be improved for industrial production. Pichia pastoris is one of the most efficient expression systems developed in recent years. In this study, secretory expression of active MTG was successfully achieved by co-expressing the pro sequence and mature MTG genes in P. pastoris. Furthermore, we optimized the copy number of pro/MTG expression cassettes and the fermentation conditions. MTG production level reached 7.3 U/mL in 1-liter fermentor through high density fermentation, providing the feasiblity for industrial scale preparation of MTG.
Fermentation
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Genetic Vectors
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genetics
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Pichia
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enzymology
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genetics
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metabolism
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Recombinant Proteins
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biosynthesis
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genetics
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Streptomyces
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enzymology
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Transglutaminases
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biosynthesis
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genetics
7.A multicenter study on the establishment and validation of autoverification rules for coagulation tests
Linlin QU ; Jun WU ; Wei WU ; Beili WANG ; Xiangyi LIU ; Hong JIANG ; Xunbei HUANG ; Dagan YANG ; Yongzhe LI ; Yandan DU ; Wei GUO ; Dehua SUN ; Yuming WANG ; Wei MA ; Mingqing ZHU ; Xian WANG ; Hong SUI ; Weiling SHOU ; Qiang LI ; Lin CHI ; Shuang LI ; Xiaolu LIU ; Zhuo WANG ; Jun CAO ; Chunxi BAO ; Yongquan XIA ; Hui CAO ; Beiying AN ; Fuyu GUO ; Houmei FENG ; Yan YAN ; Guangri HUANG ; Wei XU
Chinese Journal of Laboratory Medicine 2020;43(8):802-811
Objective:To establish autoverification rules for coagulation tests in multicenter cooperative units, in order to reduce workload for manual review of suspected results and shorten turnaround time (TAT) of test reports, while ensure the accuracy of results.Methods:A total of 14 394 blood samples were collected from fourteen hospitals during December 2019 to March 2020. These samples included: Rules Establishment Group 11 230 cases, including 1 182 cases for Delta check rules; Rules Validation Group 3 164 cases, including 487cases for Delta check; Clinical Application Trial Group 77 269 cases. Samples were analyzed for coagulation tests using Sysmex CS series automatic coagulation analyzers, and the clinical information, instrument parameters, test results, clinical diagnosis, medication history of anticoagulant and other relative results such as HCT, TG, TBIL, DBIL were summarized; on the basis of historical data, the 2.5 and 97.5 percentile of all data arranged from low to high were initially accumulated; on the basis of clinical suggestions, critical values and specific drug use as well as relative guidelines, autoverification rules and limits were established.The rules were then input into middleware, in which Stage I/Stage II validation was done. Positive coincidence, negative coincidence, false negative, false positive, autoverification pass rate, passing accuracy (coincidence of autoverification and manual verification) were calculated. Autoverification rules underwent trial application in coagulation results reports.Results:(1) The autoverification algorisms involve 33 rules regarding PT/INR, APTT, FBG, D-dimer, FDP,Delta check, reaction curve and sample abnormalities; (2)Autoverification Establishment Group showed autoverification pass rate was 68.42% (7 684/11 230), the false negative rate was 0%(0/11230), coincidence of autoverification and manual verification was 98.51%(11 063/11 230), in which positive coincidence and negative coincidence were respectively 30.09% (3 379/11 230) and 68.42%(7 684/11 230); Autoverification Validation Group showed autoverification pass rate was 60.37%(1 910/3 164), the false negative rate was 0%(0/11 230), coincidence of autoverification and manual verification was 97.79%(3 094/3 164), in which positive coincidence and negative coincidence were respectively 37.42%(1 184/3 164) and 60.37%(1 910/3 164); (3) Trialed implementation of these autoverification rules on 77 269 coagulation samples showed that the average TAT shortened by 8.5 min-83.1 min.Conclusions:This study established 33 autoverification rules in coagulation tests. Validation showedthese rules could ensure test quality while shortening TAT and lighten manual workload.
8.The experience on the construction of the cluster prevention and control system for COVID-19 infection in designated hospitals during the period of "Category B infectious disease treated as Category A"
Wanjie YANG ; Xianduo LIU ; Ximo WANG ; Weiguo XU ; Lei ZHANG ; Qiang FU ; Jiming YANG ; Jing QIAN ; Fuyu ZHANG ; Li TIAN ; Wenlong ZHANG ; Yu ZHANG ; Zheng CHEN ; Shifeng SHAO ; Xiang WANG ; Li GENG ; Yi REN ; Ying WANG ; Lixia SHI ; Zhen WAN ; Yi XIE ; Yuanyuan LIU ; Weili YU ; Jing HAN ; Li LIU ; Huan ZHU ; Zijiang YU ; Hongyang LIU ; Shimei WANG
Chinese Critical Care Medicine 2024;36(2):195-201
The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.