Animal disease models are important biological tools for basic medical research.Establishing an ideal animal model is a critical prerequisite for acquiring reliable experimental data.By enabling molecular-level characterization,omics technologies can enhance the precision of animal model assessments,thereby improving the evaluation criteria.This review summarizes the current applications of omics in evaluating animal disease models,discusses their potential for quality control implementation,and proposes novel frameworks for standardized model validation.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To establish 30-day of age transcutaneous bilirubin (TcB) reference curves for healthy neonates, and to investigate regional variations in bilirubin dynamics.Methods:A multicenter retrospective cohort study was conducted. A total of 220 950 healthy neonates born at a gestational age of 35-<42 weeks, with a birth weight ≥2 000 g, who did not receive phototherapy within 60 h after birth were recruited. All of them underwent remote TcB monitoring using the Bilibaby remote jaundice monitoring system between August 1 st, 2020 and December 31 st, 2024 in 426 hospitals. TcB data were collected within the period from birth to 30-day of age. The P40, P75, and P95 of TcB values were calculated, and dynamic TcB curves for 30-day of age were constructed. Patterns of bilirubin change, rates of change, and transition outcomes were described. Regional comparisons between South and North were conducted using linear mixed-effects models for TcB trajectories and Pearson′s chi-square test for outcome differences. Results:A total of 220 950 neonates were included, of whom 101 711 (46.03%) were female. Gestational age at birth was (38.75±1.12) weeks, and birth weight was (3 272±417) g. TcB levels increased rapidly within 3-day of age, peaked at 4-6-day of age, with peak values at P40, P75, and P95 of 200.6, 239.7 and 275.4 μmol/L (11.8, 14.1 and 16.2 mg/dl), respectively. TcB levels gradually declined thereafter and stabilized after 13-day of age, with values at P40, P75, and P95 fluctuating between 147.9-159.8, 190.4-200.6, and 231.2-239.7 μmol/L (8.7-9.4, 11.2-11.8, 13.6-14.1 mg/dl), respectively. Notably, among neonates categorized as low-or low-intermediate-risk within 3-day of age, 6 700 (12.76%) progressed to intermediate-high or high risk between 4 and 30 days of age. Before 13-day of age, TcB levels in the southern regions were consistently higher than those in the northern regions ( P=0.039); from 14 to 30 days of age, the overall TcB levels had no statistically difference, but the temporal changes in TcB still showed regional differences (degrees of freedom=3, all interaction P<0.05). Among neonates classified as low-or low-intermediate risk within 3-day of age, 25 326 were from southern regions, of whom 4 254 (16.80%) progressed to intermediate-high or high risk between 4 and 30 days of age. In northern regions, 27 193 neonates were classified as low-or low-intermediate risk within 3-day of age, among whom 2 446 (8.99%) progressed to intermediate-high or high risk. The risk progression between the 2 regions had statistically difference ( χ2=716.49, P<0.001). Conclusions:A TcB percentile curve for neonates within 30-day of age was established, revealing that both the overall TcB level and its temporal trend were higher in southern than in northern newborns. These findings provide baseline data to support continuous management of neonatal jaundice.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Animal disease models are important biological tools for basic medical research.Establishing an ideal animal model is a critical prerequisite for acquiring reliable experimental data.By enabling molecular-level characterization,omics technologies can enhance the precision of animal model assessments,thereby improving the evaluation criteria.This review summarizes the current applications of omics in evaluating animal disease models,discusses their potential for quality control implementation,and proposes novel frameworks for standardized model validation.

Objective:To establish 30-day of age transcutaneous bilirubin (TcB) reference curves for healthy neonates, and to investigate regional variations in bilirubin dynamics.Methods:A multicenter retrospective cohort study was conducted. A total of 220 950 healthy neonates born at a gestational age of 35-<42 weeks, with a birth weight ≥2 000 g, who did not receive phototherapy within 60 h after birth were recruited. All of them underwent remote TcB monitoring using the Bilibaby remote jaundice monitoring system between August 1 st, 2020 and December 31 st, 2024 in 426 hospitals. TcB data were collected within the period from birth to 30-day of age. The P40, P75, and P95 of TcB values were calculated, and dynamic TcB curves for 30-day of age were constructed. Patterns of bilirubin change, rates of change, and transition outcomes were described. Regional comparisons between South and North were conducted using linear mixed-effects models for TcB trajectories and Pearson′s chi-square test for outcome differences. Results:A total of 220 950 neonates were included, of whom 101 711 (46.03%) were female. Gestational age at birth was (38.75±1.12) weeks, and birth weight was (3 272±417) g. TcB levels increased rapidly within 3-day of age, peaked at 4-6-day of age, with peak values at P40, P75, and P95 of 200.6, 239.7 and 275.4 μmol/L (11.8, 14.1 and 16.2 mg/dl), respectively. TcB levels gradually declined thereafter and stabilized after 13-day of age, with values at P40, P75, and P95 fluctuating between 147.9-159.8, 190.4-200.6, and 231.2-239.7 μmol/L (8.7-9.4, 11.2-11.8, 13.6-14.1 mg/dl), respectively. Notably, among neonates categorized as low-or low-intermediate-risk within 3-day of age, 6 700 (12.76%) progressed to intermediate-high or high risk between 4 and 30 days of age. Before 13-day of age, TcB levels in the southern regions were consistently higher than those in the northern regions ( P=0.039); from 14 to 30 days of age, the overall TcB levels had no statistically difference, but the temporal changes in TcB still showed regional differences (degrees of freedom=3, all interaction P<0.05). Among neonates classified as low-or low-intermediate risk within 3-day of age, 25 326 were from southern regions, of whom 4 254 (16.80%) progressed to intermediate-high or high risk between 4 and 30 days of age. In northern regions, 27 193 neonates were classified as low-or low-intermediate risk within 3-day of age, among whom 2 446 (8.99%) progressed to intermediate-high or high risk. The risk progression between the 2 regions had statistically difference ( χ2=716.49, P<0.001). Conclusions:A TcB percentile curve for neonates within 30-day of age was established, revealing that both the overall TcB level and its temporal trend were higher in southern than in northern newborns. These findings provide baseline data to support continuous management of neonatal jaundice.

Objective:To understand the prevalence of psychoactive substance use and its related factors in young men who have sex with men (YMSM) in Tianjin.Methods:From September 2017 to December 2022, a face-to-face anonymous questionnaire survey was conducted in MSM aged 16-24 years selected by snowball sampling in Tianjin, the main demographic and behavioral information of the YMSM were collected, and blood samples were collected from them for HIV test. Multivariate logistic regression analysis was used to identify related factors of psychoactive substances use.Results:A total of 2 919 YMSM were included in the study, in whom 47.1% (1 374/2 919) had ever used psychoactive substances. The rate of psychoactive substance use in YMSM who were not students was 51.6% (853/1 653), which was higher than that (41.2%, 521/1 266) in YMSM who were students ( χ2=31.42, P<0.001). In the YMSM who were not students, multivariate analysis showed that the OR of psychoactive substance use was 1.49 times higher in smokers than in non-smokers (95% CI: 1.17-1.84), 4.14 times higher in those who had anal sex in the past six months than in those who had no anal sex (95% CI: 1.71-9.98), 1.65 times higher in those who had ≥3 anal intercourses in the last week than in those who had <3 anal intercourses (95% CI: 1.27-2.14), 1.99 times higher in those who had commercial sex in the past six months than in those who had no homosexual commercial sex (95% CI: 1.14-3.45), 2.37 times higher in those who had HIV test in the last year than in those who had no HIV test (95% CI: 1.90-2.94), 1.89 times higher in those who had STD diagnosis in the last year than in those who had no STD diagnosis (95% CI: 1.11-3.21), 0.66 times higher in those who had the first homosexual sex at age ≥20 years than in those who had the first homosexual sex at age <20 years (95% CI: 0.52-0.83), 0.48 times higher in those who were heterosexual or bisexual than in those who were homosexual (95% CI: 0.30-0.74) and 0.70 times higher in those who mainly searched sexual partners offline than in those who mainly searched sexual partners online (95% CI: 0.53-0.94). Meanwhile, in the YMSM who were students, multivariate analysis showed that the OR of psychoactive substance use was 1.31 times higher in local residents than in non-local residents (95% CI: 1.02-1.69), 1.61 times higher in smokers than in non-smokers (95% CI: 1.14-2.27), 1.52 times higher in those who had ≥3 anal intercourses in the last week than in those who had <3 anal intercourses (95% CI: 1.05-2.19), 3.31 times higher in those who had STD diagnosis in the last year than in those who had no STD diagnosis (95% CI: 1.68-6.50) and 0.53 times higher in those in Han ethnic group than in those in minor ethnic groups (95% CI: 0.30-0.94). Conclusions:The prevalence of psychoactive substance use was high in YMSM in Tianjin, and the influencing factors varied in different groups (students or not). It is necessary to conduct targeted interventions for different groups.

Objective:The status quo and related factors of human papillomavirus (HPV) infection in multiple parts of men who have sex with men (MSM) in Tianjin were analyzed.Methods:Using the cross-sectional survey method, a total of 600 MSM were recruited in Tianjin from September to December 2023, including 200 (18-26 years old), 300 (27-45 years old), and 100 (≥46 years old) stratificaed by age group. Questionnaire survey was used to collect knowledge and behavioral information related to demography and STD prevention and treatment. Exfoliated cells from genital, perianal and oral cavity were collected for HPV typing detection. Logistic regression model was used to analyze the related factors of HPV infection.Results:The infection rate of HPV was 53.67% (322/600) in MSM, with high-risk type as 41.17% (247/600), low-risk type as 27.17% (163/600). The infection rate of HPV in both multiple and single types was 26.83% (161/600).The infection rates of genotypes covered by nine-valent HPV vaccine, quadrivalent HPV vaccine and bivalent HPV vaccine were 36.83% (221/600), 25.17% (151/600) and 9.50% (57/600), respectively.The infection rates of genital HPV, high-risk or low-risk types were 24.67% (148/600), 16.67% (100/600) and 11.00% (66/600), respectively. The infection rates of perianal HPV, high-risk or low-risk types were 42.00% (252/600), 30.17% (181/600) and 20.50% (123/600), respectively. The infection rates of oral HPV high-risk and low-risk types were 3.17% (19/600), 2.33% (14/600) and 1.17% (7/600), respectively. Divorce or widowhood (a OR=2.38, 95% CI: 1.26-4.50), history of homosexual anal intercourse in the past 6 months (a OR=2.28, 95% CI: 1.00-5.50), and use of dependent drugs (including new psychoactive substances) (a OR=1.62, 95% CI: 1.02-2.58) were risk factors for genital HPV infection. College degree/university degree or above (a OR=0.36, 95% CI: 0.16-0.81) was a protective factor for perianal HPV infection, and a history of drug dependence (a OR=1.85, 95% CI: 1.19-2.88) was a risk factor. Conclusions:MSM in Tianjin was a high-risk group for HPV infection, and the HPV infection in the perianal area was more severe than in the genital area and oral area.Marital status, education level, history of homosexual anal sex in the past 6 months, and history of drug dependence were related factors of HPV infection among MSM.

OBJECTIVE To analyze the dose-adjusted concentrations of Posaconazole oral suspension in patients undergoing hematopoietic stem cell transplantation （HSCT） and their influential factors. METHODS Data were collected from hospitalized HSCT patients admitted to the First Affiliated Hospital of Shandong First Medical University （Shandong Provincial Qianfoshan Hospital） from January 2021 to April whtwhm@yeah.net 2023 who took Posaconazole oral suspension for the prevention of invasive fungal disease （IFD） and received blood concentration of posaconazole. The rate of concentration attainment and clinical failure rate of posaconazole for the prevention of IFD were evaluated， and one-way and multiple linear regression analyses were performed for the influential factors of dose-adjusted concentrations （C0/D） of posaconazole. RESULTS A total of 44 patients were enrolled； the mean C0 of posaconazole in patients was （0.99±0.94） µg/mL， and 20 patients had a C0≥0.7 μg/mL， with a concentration attainment rate of 45.45% for the prevention of IFD； 13 cases were clinical failures， with a clinical failure rate of 29.55%. Of 24 patients who did not achieve C0/D of posaconazole for IFD prophylaxis， one patient was a clinical failure despite timely dose adjustment of posaconazole in seven patients； seven of the thirteen patients who did not undergo dose adjustment were clinical failures； and the remaining four patients were switched to other antifungal agents. The results of univariate analysis showed that gender， body mass index （BMI）， renal function， combined use of sodium phenytoin， omeprazole and metoclopramide had a significant effect on the C0/D of posaconazole （P＜0.05）； the results of multivariate linear regression analysis showed that gender， BMI and combined use of sodium phenytoin were the independent factors affecting the C0/D of posaconazole （P＜0.05）. CONCLUSIONS Significant individual differences are reflected in the blood concentration of Posaconazole oral suspension； gender， BMI and combined use of sodium phenytoin are independent factors affecting the C0/D of posaconazole.

Objective:To study the predictive value of total serum bilirubin (TSB) and the ratio of bilirubin to albumin (B/A) in neonatal acute bilirubin encephalopathy (ABE).Methods:Neonates with extremely severe hyperbilirubinemia (TSB≥425 μmol/L) treated in the Nanjing Maternal and Child Health Hospital, Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Northwest Women and Children's Hospital, Yinchuan Maternal and Child Health Hospital and Liaocheng People's Hospital from March 2018 to August 2019 were selected as prospective subjects for this study. According to the score of brain injury induced by bilirubin, the subjects were divided into ABE group and non-ABE group, and the predictive value of TSB peak and B/A for neonatal ABE were analyzed.Results:A total of 194 infants with extremely severe hyperbilirubinemia were recruited in this study, including 20 in ABE group and 174 in non-ABE group. The peak value of bilirubin ranged from 427 to 979 μmol/L. The optimal critical values of TSB peak value and B/A for ABE prediction were 530 μmol/L and 9.48, respectively. The sensitivity and specificity of ABE prediction were 85.0% and 92.8% when combined with TSB peak and B/A values.Conclusions:TSB peak combined with B/A value can effectively identify neonatal ABE. When the TSB peak value was greater than 530 μmol/L and the B/A value was greater than 9.48, the neonates had a higher risk of neonatal ABE.