Animal experiments are widely used in biomedical research for safety assessment, toxicological analysis, efficacy evaluation, and mechanism exploration. In recent years, the ethical review system has become more stringent, and awareness of animal welfare has continuously increased. To promote more efficient and cost-effective drug research and development, the United States passed the Food and Drug Administration (FDA) Modernization Act 2.0 in September 2022, which removed the federal mandate requiring animal testing in preclinical drug research. In April 2025, the FDA further proposed to adopt a series of "new alternative methods" in the research and development of drugs such as monoclonal antibodies, which included artificial intelligence computing models, organoid toxicity tests, and 3D micro-physiological systems, thereby gradually phasing out traditional animal experiment models. Among these cutting-edge technologies, 3D bioprinting models are a significant alternative and complement to animal models, owing to their high biomimetic properties, reproducibility, and scalability. This review provides a comprehensive overview of advancements and applications of 3D bioprinting technology in the fields of biomedical and pharmaceutical research. It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. It then discusses the typical applications of 3D bioprinting in drug research and development,including high-throughput screening of drug efficacy by constructing disease models such as tumors, infectious diseases, and rare diseases, as well as conducting drug toxicology research by building organ-specific models such as those of liver and heart. Additionally,the review examines the role of 3D bioprinting in tissue engineering, discussing its contributions to the construction of functional tissues such as bone, cartilage, skin, and blood vessels, as well as the latest progress in regeneration and replacement. Furthermore, this review analyzes the complementary advantages of 3D bioprinting models and animal models in the research of disease progression, drug mechanisms, precision medicine, drug development, and tissue regeneration, and discusses the potential and challenges of their integration in improving model accuracy and physiological relevance. In conclusion, as a cutting-edge in vitro modeling and manufacturing technology, 3D bioprinting is gradually establishing a comprehensive application system covering disease modeling, drug screening, toxicity prediction, and tissue regeneration.

Animal experiments are widely used in biomedical research for safety assessment, toxicological analysis, efficacy evaluation, and mechanism exploration. In recent years, the ethical review system has become more stringent, and awareness of animal welfare has continuously increased. To promote more efficient and cost-effective drug research and development, the United States passed the Food and Drug Administration (FDA) Modernization Act 2.0 in September 2022, which removed the federal mandate requiring animal testing in preclinical drug research. In April 2025, the FDA further proposed to adopt a series of "new alternative methods" in the research and development of drugs such as monoclonal antibodies, which included artificial intelligence computing models, organoid toxicity tests, and 3D micro-physiological systems, thereby gradually phasing out traditional animal experiment models. Among these cutting-edge technologies, 3D bioprinting models are a significant alternative and complement to animal models, owing to their high biomimetic properties, reproducibility, and scalability. This review provides a comprehensive overview of advancements and applications of 3D bioprinting technology in the fields of biomedical and pharmaceutical research. It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. It then discusses the typical applications of 3D bioprinting in drug research and development,including high-throughput screening of drug efficacy by constructing disease models such as tumors, infectious diseases, and rare diseases, as well as conducting drug toxicology research by building organ-specific models such as those of liver and heart. Additionally,the review examines the role of 3D bioprinting in tissue engineering, discussing its contributions to the construction of functional tissues such as bone, cartilage, skin, and blood vessels, as well as the latest progress in regeneration and replacement. Furthermore, this review analyzes the complementary advantages of 3D bioprinting models and animal models in the research of disease progression, drug mechanisms, precision medicine, drug development, and tissue regeneration, and discusses the potential and challenges of their integration in improving model accuracy and physiological relevance. In conclusion, as a cutting-edge in vitro modeling and manufacturing technology, 3D bioprinting is gradually establishing a comprehensive application system covering disease modeling, drug screening, toxicity prediction, and tissue regeneration.

Objective To understand the sleep status in patients with Parkinson's disease (PD), and to explore its relationship with dyskinesia and negative emotions. Methods A total of 308 patients with PD who met the inclusion and exclusion criteria in the hospital from September 2022 to May 2024 were selected as the research subjects. The scores of sleep status [Pittsburgh Sleep Quality Index (PSQI)], dyskinesia [Simplified Fugl-Meyer Motor Assessment (FMA)] and negative emotions [Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II)] were analyzed, and the PSQI score was compared among patients with different demographic characteristics. Pearson correlation analysis was performed to analyze the correlation of sleep with dyskinesia and negative emotions in patients with PD. Results The total score of PSQI scale was (6.16±0.97) points in 308 PD patients, of which 208 cases (67.53%) were complicated with sleep disorders. The proportions of female, 61-75 years old, technical secondary school or below, disease course of 4 years and above, Hoehn-Yahr stage IV and unmarried status in the sleep disorder group were higher than those in the non-sleep disorder group (P<0.05). Compared with the non-sleep disorder group, the FMA score in the sleep disorder group was lower (P<0.05) while the BAI score and BDI-II score were higher (P<0.05). Pearson correlation analysis revealed that PSQI was negatively correlated with FMA (r=-0.489, P<0.05), and was positively correlated with BAI and BDI-II (r=0.476, 0.502, P<0.05). Conclusion The incidence rate of sleep disorders in PD patients is high. PSQI is negatively correlated with FMA, and is positively correlated with BAI and BDI-II.

Objective: To investigate the relationship between serum alanine transaminase (ALT) and carotid intima media thickness (cIMT) in adolescents, providing evidence for early prevention and control strategies for cardiovascular structural abnormalities in adolescents. Methods: Data were obtained from the third follow up survey (from October to November 2023) of the "Huantai Children Cardiovascular Health Cohort", including 1 153 healthy adolescents with complete information. Analysis of variance (ANOVA) was used to compare cIMT across different ALT level groups, and multiple linear regression was employed to analyze the relationship between serum ALT levels and cIMT. Results: Significant differences in cIMT were observed among Q 1, Q 2, and Q 3 ALT level groups [(0.56±0.04) (0.57±0.04) (0.59±0.04)mm, respectively; F=3.61, P <0.01]. After adjusting for covariates, multiple linear regression revealed a positive correlation between ALT levels and cIMT ( β=0.18, P <0.01). Gender subgroup analysis showed similar results in males ( β=0.19, P <0.01), but no statistically significant association was found in females ( β=0.07, P = 0.54). Conclusions Elevated serum ALT levels are associated with an increased risk of vascular structural damage in adolescents, especially in boys. Early detection and control of abnormal serum ALT levels can help to reduce early vascular structural damage and further reduce the risk of adverse cardiovascular events.

OBJECTIVE To offer a reference for the treatment of Mycobacterium iranicum infection by analyzing the diagnosis and management of a single case alongside literature-reported cases. METHODS Through case report and literature reviews， this study synthesized the clinical features， therapeutic regimens， and patient outcomes of those infected with M. iranicum. RESULTS In the single case documented in this report， subsequent to clinical pharmacists’ involvement in the consultation， the patient was prescribed a therapeutic regimen comprising levofloxacin （0.5 g， qd， ivgtt）+Clarithromycin sustained-release tablets （1 000 mg， qd， po） + Ethambutol tablets （0.75 g， qd， po）. The patient exhibited clinical improvement and was discharged after treatment. This article integrated 12 published studies， encompassing 13 patients （7 male and 6 female）， of whom 69.23% were aged ≥50 years. Patients infected with M. iranicum exhibited non-specific clinical manifestations and imaging features， with pulmonary infection as the primary presentation. Antimicrobial susceptibility test revealed that M. iranicum was susceptible to multiple agents， including amikacin， clarithromycin， linezolid， and ethambutol. The three-drug combination therapy was the most frequently employed regimen. In terms of clinical outcomes， there were 9 cases （69.23%） of clinical cure， 3 cases （23.08%） of bacteriological negativity conversion， and 1 case （7.69%） of treatment failure. CONCLUSIONS For M. iranicum infection， a triple-drug therapeutic regimen consisting of three agents with distinct mechanisms of action selected from amikacin， clarithromycin， moxifloxacin， levofloxacin， minocycline， ethambutol， and other relevant drugs may represent a relatively optimal strategy.

Objective: To explore the association between the joint association of screen time on weekdays and weekends with self rated sleep quality among adolescents, providing scientific basis for improving adolescent sleep health. Methods: Using data from "Huantai Children s Cardiovascular Health Follow up Cohort" survey conducted during November to December 2023, a total of 1 197 adolescents aged 12-17 years with complete demographic characteristics, physical measurements, and questionnaire data were included. The dose response relationship between screen time and sleep quality was evaluated by restrictive cubic splines (RCS). Based on screen time on weekdays and weekends (normal: < 2 h/d; excessive: ≥ 2 h/d), adolescents were categorized into 4 groups. Multivariate Logistic regression models were used to analyze the association between the combined effect of screen time on weekdays and weekends and sleep quality. Results: The RCS analysis results showed that there was a linear dose response relationship between average daily screen time and poor sleep quality in adolescents (non linear P >0.05). The results of multiple Logistic regression analysis showed that adjusting for potential covariates,compared with adolescents having normal screen time on both weekdays and weekends, those with excessive screen time on both weekdays and weekends had increased risk of poor sleep quality ( OR=2.51, 95%CI=1.33-4.62, P <0.01). Sex stratified analysis revealed that girls with excessive screen time on both weekdays and weekends had increased odds of poor sleep quality ( OR=3.03, 95%CI=1.23-7.14, P =0.01), compared to girls who had normal screen time on both weekdays and weekends. Conclusions A linear dose response relationship exists between daily screen time and poor sleep quality in adolescents. Excessive screen time on both weekdays and weekends is positively associated with poor sleep quality, particularly more pronounced among female adolescents.

Objective: To investigate the association of serum alanine aminotransferase (ALT) with left ventricular hypertrophy (LVH) in adolescents, and to provide scientific evidence for the early screening and intervention strategy of cardiac structure damage. Methods: Data were obtained from the third follow up survey (October 2023) of the "Huantai Childhood Cardiovascular Health Cohort Study", including 1 156 healthy adolescents aged 12-17 with complete information. The sample population was stratified into low ( Q 1 group), medium ( Q 2 group), and high ( Q 3 group) ALT levels based on tertiles within the same gender and age groups. Inter group comparisons were conducted using analysis of variance and trend test. A multivariate Logistic regression model was used to analyze the association between ALT levels and LVH, and stratified analyses were performed by gender and age groups. Results: With the increase of ALT quantile level, the detection rate of LVH showed an increasing trend ( Q 1: 3.7%; Q 2: 10.6%; Q 3: 16.7%, Z= 5.89 , P <0.01). After adjusting for potential covariates, compared with the ALT group ( Q 1), the group ( Q 3) increased the risk of developing LVH in adolescents ( OR=2.09, 95%CI =1.21-4.12). Stratified analyses by age and sex showed a significant association only in boys and younger individuals aged 12 to 14 years [ OR (95% CI ) were 2.64(1.04-7.67) and 3.24( 1.35 -9.06), both P <0.05)]. Conclusion Elevated serum ALT levels are associated with an increased risk of LVH in adolescents, and early detection and control of abnormal liver enzyme levels can help reduce early vascular structural damage and prevent adverse cardiovascular events.

Objective To investigate the relationship between geriatric nutritional risk index (GNRI) and osteoporosis (OP) in elderly hypertensive population. Methods Elderly physical examination population who received dual-energy bone mineral density examination and bone metabolic marker test in the hospital were selected from January 2021 to December 2024. According to whether they had hypertension and dual-energy bone mineral density results, the enrolled patients were divided into hypertension OP group (142 cases ), hypertension non-OP group (173 cases), non-hypertension OP group (102 cases) and non-hypertension non-OP group (100 cases). GNRI of all study subjects was measured. The correlation of GNRI and the occurrence of OP was explored by logistic regression analysis. The predictive efficiency of GNRI on the occurrence of OP was evaluated by receiver operating characteristic (ROC) curve. Results The BMD and GNRI in the hypertension group, and the non-hypertension OP group were significantly lower than those in the non-hypertension non-OP group (P<0.05). Compared with the hypertension non-OP group, the BMI, GNRI, BMD, and 25-OH Vit D in the hypertension OP group were significantly reduced (P<0.05) while the PTH level was significantly enhanced (P<0.05).logistic regression analysis showed that GNRI, 25-OH Vit D and PTH were closely related to OP in the elderly hypertensive population (P < 0.05). ROC curve analysis manifested that the AUC value of GNRI alone in predicting OP in elderly hypertensive population was 0.802, which was higher than that of 25-OH Vit D (AUC=0.723) and PTH (AUC=0.643). The AUC, sensitivity and specificity of combination of GNRI, 25-OH Vit D and PTH in predicting OP in elderly hypertensive population were 0.837, 66.20% and 86.13% (P<0.05). Conclusion GNRI is closely related to the occurrence of OP in elderly hypertensive population, and GNRI can be used as a potential indicator to assess the risk of OP.

Objective To investigate the relationship between geriatric nutritional risk index (GNRI) and osteoporosis (OP) in elderly hypertensive population. Methods Elderly physical examination population who received dual-energy bone mineral density examination and bone metabolic marker test in the hospital were selected from January 2021 to December 2024. According to whether they had hypertension and dual-energy bone mineral density results, the enrolled patients were divided into hypertension OP group (142 cases ), hypertension non-OP group (173 cases), non-hypertension OP group (102 cases) and non-hypertension non-OP group (100 cases). GNRI of all study subjects was measured. The correlation of GNRI and the occurrence of OP was explored by logistic regression analysis. The predictive efficiency of GNRI on the occurrence of OP was evaluated by receiver operating characteristic (ROC) curve. Results The BMD and GNRI in the hypertension group, and the non-hypertension OP group were significantly lower than those in the non-hypertension non-OP group (P<0.05). Compared with the hypertension non-OP group, the BMI, GNRI, BMD, and 25-OH Vit D in the hypertension OP group were significantly reduced (P<0.05) while the PTH level was significantly enhanced (P<0.05).logistic regression analysis showed that GNRI, 25-OH Vit D and PTH were closely related to OP in the elderly hypertensive population (P < 0.05). ROC curve analysis manifested that the AUC value of GNRI alone in predicting OP in elderly hypertensive population was 0.802, which was higher than that of 25-OH Vit D (AUC=0.723) and PTH (AUC=0.643). The AUC, sensitivity and specificity of combination of GNRI, 25-OH Vit D and PTH in predicting OP in elderly hypertensive population were 0.837, 66.20% and 86.13% (P<0.05). Conclusion GNRI is closely related to the occurrence of OP in elderly hypertensive population, and GNRI can be used as a potential indicator to assess the risk of OP.

Objective To explore the correlation between osteocalcin (OCN) and visceral fat area (VFA) in overweight/obese population. Methods The data of 297 overweight/obese people who underwent health examinations in Health Management Department of Second Affiliated Hospital of Xi'an Jiaotong University from August 2021 to August 2024 were analyzed. According to the VFA value measured by InBody, the subjects were divided into an excessive group (VFA ≥100 cm²) and a normal group (VFA<100 cm2). The baseline data, glucose metabolism indicators, lipid metabolism indicators and OCN were compared between the two groups. Binary logistic regression analysis was used to analyze the independent risk factors affecting visceral fat deposition in overweight/obese people. Results According to the VFA value, there were 193 cases (64.98%) in the excessive group and 104 cases (35.02%) in the normal group. There were no statistical differences in gender, age and comorbidities between the two groups (P>0.05). The BMI, FPG, HbA1c, TC, TG, and LDL-C in the excessive group were higher than those in the normal group, while the HDL-C and OCN were lower than those in the normal group (P<0.05). Binary logistic regression analysis revealed that BMI, FPG, HbA1c, TC, TG and LDL-C were independent risk factors for visceral fat deposition in overweight/obese people, while HDL-C and OCN were protective factors (P<0.05). Conclusion Visceral fat deposition in overweight/obese people is closely related to OCN content, and is affected by abnormal glucolipid metabolism, which provides new ideas for the prevention and treatment of obesity-related diseases.