Objective To develop a health belief model(HBM)based adolescent alcohol-related cognition scale to measure adolescent alcohol-related cognition and test its reliability and validity.Methods The adolescents'alcohol-related cognitive scale was developed based on HBM model.By using purposive sampling,three general high schools in Qingpu District,Shanghai were selected.One-third of the classes from grades 10 and 11 in each school were randomly selected,and the students from these classes were surveyed as the research subjects.Exploratory factor analysis and confirmatory factor analysis were used to analyze its reliability(internal consistency reliability and combination reliability)and validity(structural validity,convergent validity,discriminative validity and criterion validity).Results A total of 970 questionnaires were collected,of which 948 were valid,with an effective rate of 97.7%.The adolescents'alcohol-related cognitive scale contained 22 items.Five common factors were extracted from exploratory factor analysis,including perceived susceptibility,perceived severity,perceived benefits,perceived obstacles,and self-efficacy.The cumulative variance contribution rate reached 83.89%.The results of confirmatory factor analysis confirmed the overall fit of the model.The average variance extracted value(AVE)of each dimension was greater than 0.5,and the convergent validity of the model was ideal.The AVE square root of each dimension of the scale was greater than its correlation coefficient,indicating good discrimination validity.Cronbach's α coefficient of the total volume table was 0.892,indicating good overall reliability.Conclusion The adolescents'alcohol-related cognitive scale developed in this study has good reliability and validity,which can be used to measure adolescents'alcohol-related perceptions.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is an increasingly common liver disease worldwide. MAFLD is diagnosed based on the presence of steatosis on images, histological findings, or serum marker levels as well as the presence of at least one of the three metabolic features: overweight/obesity, type 2 diabetes mellitus, and metabolic risk factors. MAFLD is not only a liver disease but also a factor contributing to or related to cardiovascular diseases (CVD), which is the major etiology responsible for morbidity and mortality in patients with MAFLD. Hence, understanding the association between MAFLD and CVD, surveillance and risk stratification of MAFLD in patients with CVD, and assessment of the current status of MAFLD management are urgent requirements for both hepatologists and cardiologists. This Taiwan position statement reviews the literature and provides suggestions regarding the epidemiology, etiology, risk factors, risk stratification, nonpharmacological interventions, and potential drug treatments of MAFLD, focusing on its association with CVD.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Ulcerative colitis (UC) is a chronic inflammation of the gastrointestinal tract and is characterized by alternating periods of inflammation and remission. Although UC incidence is lower in Taiwan than in Western countries, its impact remains considerable, demanding updated guidelines for addressing local healthcare challenges and patient needs. The revised guidelines employ international standards and recent research, emphasizing practical implementation within the Taiwanese healthcare system. Since the inception of the guidelines in 2017, the Taiwan Society of Inflammatory Bowel Disease has acknowledged the need for ongoing revisions to incorporate emerging therapeutic options and evolving disease management practices. This updated guideline aims to align UC management with local contexts, ensuring comprehensive and context-specific recommendations, thereby raising the standard of care for UC patients in Taiwan. By adapting and optimizing international protocols for local relevance, these efforts seek to enhance health outcomes for patients with UC.

Crohn’s disease (CD) is a chronic, fluctuating inflammatory condition that primarily affects the gastrointestinal tract. Although the incidence of CD in Taiwan is lower than that in Western countries, the severity of CD presentation appears to be similar between Asia and the West. This observation indicates the urgency for devising revised guidelines tailored to the unique reimbursement system, and patient requirements in Taiwan. The core objectives of these updated guidelines include the updated treatment choices and the integration of the treat-to-target strategy into CD management, promoting the achievement of deep remission to mitigate complications and enhance the overall quality of life. Given the diversity in disease prevalence, severity, insurance policies, and access to medical treatments in Taiwan, a customized approach is imperative for formulating these guidelines. Such tailored strategies ensure that international standards are not only adapted but also optimized to local contexts. Since the inception of its initial guidelines in 2017, the Taiwan Society of Inflammatory Bowel Disease (TSIBD) has acknowledged the importance of continuous revisions for incorporating new therapeutic options and evolving disease management practices. The latest update leverages international standards and recent research findings focused on practical implementation within the Taiwanese healthcare system.

Objective: To investigate the distribution of HIV-1 genetic subtypes and pretreatment drug resistance (PDR) among men who have sex with men (MSM) from 19 cities of 6 provinces in China. Methods: From April to November 2019, 574 plasma samples of ART-naive HIV-1 infected MSM were collected from 19 cities in Hebei, Shandong, Jiangsu, Zhejiang, Fujian, and Guangdong provinces, total ribonucleic acid (RNA) was extracted and amplified the HIV-1 pol gene region by nested polymerase chain reaction (PCR) after reverse transcription. Then sequences were used to construct a phylogenetic tree to determine genetic subtypes and submitted to the Stanford drug resistance database for drug resistance analysis. Results: A total of 479 samples were successfully amplified by PCR. The HIV-1 genetic subtypes included CRF01_AE, CRF07_BC, B, CRF55_01B, CRF59_01B, CRF65_cpx, CRF103_01B, CRF67_01B, CRF68_01B and unrecognized subtype, which accounted for 43.4%, 36.3%, 6.3%, 5.9%, 0.8%, 0.8%, 0.4%, 0.4%, 0.2% and 5.5%, respectively. The distribution of genetic subtypes among provinces is statistically different (χ²=44.141, P<0.001). The overall PDR rate was 4.6% (22/479), the drug resistance rate of non-nucleoside reverse transcriptase inhibitors, nucleoside reverse transcriptase inhibitors, and protease inhibitors were 3.5% (17/479), 0.8% (4/479) and 0.2% (1/479), respectively. The PDR rate of recent infections was significantly higher than that of long-term infections (χ²=4.634, P=0.031). Conclusions: The HIV-1 genetic subtypes among MSM infected with HIV-1 from 19 cities of 6 provinces in China are diverse, and the distribution of subtypes is different among provinces. The overall PDR rate is low, while the PDR rate of recent infections was significantly higher than that of long-term infections, suggesting the surveillance of PDR in recent infections should be strengthened.
China/epidemiology* ; Cities ; Drug Resistance ; Drug Resistance, Viral/genetics* ; Female ; Genotype ; HIV Infections/epidemiology* ; HIV Seropositivity/drug therapy* ; HIV-1/genetics* ; Homosexuality, Male ; Humans ; Male ; Phylogeny ; Reverse Transcriptase Inhibitors/therapeutic use* ; Sexual and Gender Minorities

Objective: To investigate the regulatory effects of bio-intensity electric field on directional migration and microtubule acetylation in human epidermal cell line HaCaT, aiming to provide molecular theoretical basis for the clinical treatment of wound repair. Methods: The experimental research methods were used. HaCaT cells were collected and divided into simulated electric field group (n=54) placed in the electric field device without electricity for 3 h and electric field treatment group (n=52) treated with 200 mV/mm electric field for 3 h (the same treatment methods below). The cell movement direction was observed in the living cell workstation and the movement velocity, trajectory velocity, and direction of cosθ of cell movement within 3 h of treatment were calculated. HaCaT cells were divided into simulated electric field group and electric field treatment 1 h group, electric field treatment 2 h group, and electric field treatment 3 h group which were treated with 200 mV/mm electric field for corresponding time. HaCaT cells were divided into simulated electric field group and 100 mV/mm electric field group, 200 mV/mm electric field group, and 300 mV/mm electric field group treated with electric field of corresponding intensities for 3 h. The protein expression of acetylated α-tubulin was detected by Western blotting (n=3). HaCaT cells were divided into simulated electric field group and electric field treatment group, and the protein expression of acetylated α-tubulin was detected and located by immunofluorescence method (n=3). Data were statistically analyzed with Kruskal-Wallis H test,Mann-Whitney U test, Bonferroni correction, one-way analysis of variance, least significant difference test, and independent sample t test. Results: Within 3 h of treatment, compared with that in simulated electric field group, the cells in electric field treatment group had obvious tendency to move directionally, the movement velocity and trajectory velocity were increased significantly (with Z values of -8.53 and -2.05, respectively, P<0.05 or P<0.01), and the directionality was significantly enhanced (Z=-8.65, P<0.01). Compared with (0.80±0.14) in simulated electric field group, the protein expressions of acetylated α-tubulin in electric field treatment 1 h group (1.50±0.08) and electric field treatment 2 h group (1.89±0.06) were not changed obviously (P>0.05), while the protein expression of acetylated α-tubulin of cells in electric field treatment 3 h group (3.37±0.36) was increased significantly (Z=-3.06, P<0.05). After treatment for 3 h, the protein expressions of acetylated α-tubulin of cells in 100 mV/mm electric field group, 200 mV/mm electric field group, and 300 mV/mm electric field group were 1.63±0.05, 2.24±0.08, and 2.00±0.13, respectively, which were significantly more than 0.95±0.27 in simulated electric field group (P<0.01). Compared with that in 100 mV/mm electric field group, the protein expressions of acetylated α-tubulin in 200 mV/mm electric field group and 300 mV/mm electric field group were increased significantly (P<0.01); the protein expression of acetylated α-tubulin of cells in 300 mV/mm electric field group was significantly lower than that in 200 mV/mm electric field group (P<0.05). After treatment for 3 h, compared with that in simulated electric field group, the acetylated α-tubulin of cells had enhanced directional distribution and higher protein expression (t=5.78, P<0.01). Conclusions: Bio-intensity electric field can induce the directional migration of HaCaT cells and obviously up-regulate the level of α-ubulin acetylation after treatment at 200 mV/mm bio-intensity electric field for 3 h.
Humans ; Acetylation ; Tubulin/metabolism* ; Microtubules/metabolism* ; Electricity ; Epidermal Cells/metabolism*

Objective: To investigate the regulatory effects of bio-intensity electric field on the transformation of human skin fibroblasts (HSFs). Methods: The experimental research methods were used. HSFs were collected and divided into 200 mV/mm electric field group treated with 200 mV/mm electric field for 6 h and simulated electric field group placed in the electric field device without electricity for 6 h. Changes in morphology and arrangement of cells were observed in the living cell workstation; the number of cells at 0 and 6 h of treatment was recorded, and the rate of change in cell number was calculated; the direction of cell movement, movement velocity, and trajectory velocity within 3 h were observed and calculated (the number of samples was 34 in the simulated electric field group and 30 in 200 mV/mm electric field group in the aforementioned experiments); the protein expression of α-smooth muscle actin (α-SMA) in cells after 3 h of treatment was detected by immunofluorescence method (the number of sample was 3). HSFs were collected and divided into simulated electric field group placed in the electric field device without electricity for 3 h, and 100 mV/mm electric field group, 200 mV/mm electric field group, and 400 mV/mm electric field group which were treated with electric fields of corresponding intensities for 3 h. Besides, HSFs were divided into simulated electric field group placed in the electric field device without electricity for 6 h, and electric field treatment 1 h group, electric field treatment 3 h group, and electric field treatment 6 h group treated with 200 mV/mm electric field for corresponding time. The protein expressions of α-SMA and proliferating cell nuclear antigen (PCNA) were detected by Western blotting (the number of sample was 3). Data were statistically analyzed with Mann-Whitney U test, one-way analysis of variance, independent sample t test, and least significant difference test. Results: After 6 h of treatment, compared with that in simulated electric field group, the cells in 200 mV/mm electric field group were elongated in shape and locally adhered; the cells in simulated electric field group were randomly arranged, while the cells in 200 mV/mm electric field group were arranged in a regular longitudinal direction; the change rates in the number of cells in the two groups were similar (P>0.05). Within 3 h of treatment, the cells in 200 mV/mm electric field group had an obvious tendency to move toward the positive electrode, and the cells in simulated electric field group moved around the origin; compared with those in simulated electric field group, the movement velocity and trajectory velocity of the cells in 200 mV/mm electric field group were increased significantly (with Z values of -5.33 and -5.41, respectively, P<0.01), and the directionality was significantly enhanced (Z=-4.39, P<0.01). After 3 h of treatment, the protein expression of α-SMA of cells in 200 mV/mm electric field group was significantly higher than that in simulated electric field group (t=-9.81, P<0.01). After 3 h of treatment, the protein expressions of α-SMA of cells in 100 mV/mm electric field group, 200 mV/mm electric field group, and 400 mV/mm electric field group were 1.195±0.057, 1.606±0.041, and 1.616±0.039, respectively, which were significantly more than 0.649±0.028 in simulated electric field group (P<0.01). Compared with that in 100 mV/mm electric field group, the protein expressions of α-SMA of cells in 200 mV/mm electric field group and 400 mV/mm electric field group were significantly increased (P<0.01). The protein expressions of α-SMA of cells in electric field treatment 1 h group, electric field treatment 3 h group, and electric field treatment 6 h group were 0.730±0.032, 1.561±0.031, and 1.553±0.045, respectively, significantly more than 0.464±0.020 in simulated electric field group (P<0.01). Compared with that in electric field treatment 1 h group, the protein expressions of α-SMA in electric field treatment 3 h group and electric field treatment 6 h group were significantly increased (P<0.01). After 3 h of treatment, compared with that in simulated electric field group, the protein expressions of PCNA of cells in 100 mV/mm electric field group, 200 mV/mm electric field group, and 400 mV/mm electric field group were significantly decreased (P<0.05 or P<0.01); compared with that in 100 mV/mm electric field group, the protein expressions of PCNA of cells in 200 mV/mm electric field group and 400 mV/mm electric field group were significantly decreased (P<0.05 or P<0.01); compared with that in 200 mV/mm electric field group, the protein expression of PCNA of cells in 400 mV/mm electric field group was significantly decreased (P<0.01). Compared with that in simulated electric field group, the protein expressions of PCNA of cells in electric field treatment 1 h group, electric field treatment 3 h group, and electric field treatment 6 h group were significantly decreased (P<0.01); compared with that in electric field treatment 1 h group, the protein expressions of PCNA of cells in electric field treatment 3 h group and electric field treatment 6 h group were significantly decreased (P<0.05 or P<0.01); compared with that in electric field treatment 3 h group, the protein expression of PCNA of cells in electric field treatment 6 h group was significantly decreased (P<0.01). Conclusions: The bio-intensity electric field can induce the migration of HSFs and promote the transformation of fibroblasts to myofibroblasts, and the transformation displays certain dependence on the time and intensity of electric field.
Actins/biosynthesis* ; Cell Differentiation/physiology* ; Cell Movement/physiology* ; Electric Stimulation Therapy ; Electricity ; Fibroblasts/physiology* ; Humans ; Myofibroblasts/physiology* ; Proliferating Cell Nuclear Antigen/biosynthesis* ; Skin/cytology*

An eco-friendly and fast HPLC method was developed for the determination of adenosine, inosine, guanosine and uridine in Cordyceps and related products (fermented mycelia of Hirsutella sinensis andPaecilomyces hepiali). The sample was ultrasonically extracted using 0.5% phosphoric acid solutions for 2.5 min. Sample separation was performed on a Poroshell SB-Aq column (50 mm × 4.6 mm, 2.7 μm) using eco-friendly mobile phase consisting of formic acid and ammonium formate aqueous solution at a flow rate of 1.0 mL·min
Adenosine ; Chromatography, High Pressure Liquid ; Cordyceps ; Nucleosides

Objective:To analyze the epidemiological characteristics of 8 clusters of coronavirus disease 2019 （COVID-19） in Chenzhou City， and provide scientific basis for epidemic prevention and control. Methods:Descriptive epidemiological analysis was conducted for 8 COVID-19 clusters， comparing and analyzing the differences of infection rates among close contacts within and outside the family， and emphatically describing two typical cases. Results:8 COVID-19 clusters were reported in Chenzhou with a total of 31 cases from January to February， 2020. The main source of infection of the family index cases was Hubei Province. Cough symptoms were observed in 67.74% of the cases， followed by fever （54.84%）. The infection rate of close contacts within the family （55.00%） was higher than that outside the family （2.56%）， and the difference was statistically significant （χ²=28.177， P<0.001）. The infection rate of spouse of the family index cases was 85.71%， higher than that of parents （77.78%）， other family members （44.44%） and children （40.00%）， and the difference was not statistically significant （χ²=6.004， P=0.120）. Two typical cases suggested that both COVID-19 pre-symptomatic and asymptomatic patients have the potential to excrete the virus from the body and become sources of infection. Conclusion:Effective family prevention and control measures and early sampling and screening of people in key epidemic areas are conducive to early detection， early isolation and early treatment of infected people， so as to avoid the occurrence and spread of family clusters.