Objective: To report the antibody identification, blood management during pregnancy and the monitoring process of fetal hemolytic disease of fetus and newborn (HDFN) in a pregnant woman with a history of blood transfusion and pregnancy who developed anti-Jr . Methods: Saline tube technique and anti-human globulin technique were used for maternal blood typing, unexpected antibody screening and identification, as well as for determining antibody titer and IgG subclasses. PCR-SSP was employed for genotyping of 18 blood group systems. Next-generation sequencing (NGS) was utilized for gene sequencing of 38 blood group systems. Sanger sequencing was applied to verify rare blood group mutations detected by NGS and to investigate the corresponding rare blood group genes in family members. Blood preparation was achieved through anemia management in prenatal clinics and autologous blood collection during pregnancy. The newborn underwent the three primary tests for HDFN and plasma IgG subclass testing. Results: The pregnant woman's blood type was B, RhD positive, with a positive unexpected antibody screen, and the antibody identification pattern was consistent with a high-frequency antigen antibody. Gene sequencing revealed a homozygous ABCG2 c.376C>T mutation in the woman, resulting in the Jr(a-) phenotype, and anti-Jr antibody was present in her plasma. No compatible Jr(a-) blood was found among family members. The maternal anti-Jr IgG titer remained stable at 256 during pregnancy, with no detectable IgG1 or IgG3 subclasses against the Jr antigen. A total of 800 mL of autologous blood was collected in two stages during pregnancy. The newborn was B, RhD positive, Jr(a+), with a positive unexpected antibody screen (anti-Jr ). IgG subclass typing detected no IgG1 or IgG3. The direct antiglobulin test was positive, while the acid elution test was negative. Conclusion: The combination of serology and blood group genetic analysis provides a diagnostic basis for identifying antibodies to high-frequency antigens. Managing perinatal anemia and implementing staged autologous blood storage can secure blood supply for the perioperative period. IgG antibody subclass typing offers a reference for clinical assessment and prevention of HDFN.

Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

Pregnancy complicated by aortic root aneurysm in patients with Marfan syndrome is one of the main causes of termination of pregnancy or even death in pregnant women. A very small number of pregnant women require cardiac surgery to preserve pregnancy under extracorporeal circulation, and all surgeries use aortic root replacement. We reported a 30-year-old patient with severe aortic regurgitation combined with giant aortic root aneurysm and Marfan syndrome in mid-pregnancy. Valve-sparing root replacement using reimplantation technology was performed via a multidisciplinary cooperation model. This not only achieved the patient’s desire to continue pregnancy but also avoided the anticoagulation and bleeding complications brought by mechanical valve replacement, reduced pregnancy risks and improved long-term quality of life. Postoperative echocardiography showed a small amount of aortic valve regurgitation, aortic valve coaptation height of 0.6 cm, effective height of 1.1 cm, maximum aortic flow velocity of 1.4 m/s, mean transvalvular pressure gradient of 4.4 mm Hg, and satisfactory clinical results.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

BACKGROUND:In recent years,numerous studies have shown that autophagy and mitophagy play an important role in the regulation of bone metabolism.Under non-physiological conditions,mitophagy breaks the balance of bone metabolism and triggers metabolism disorders,which affect osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells,etc. OBJECTIVE:To summarize the mechanism of mitophagy in regulating bone metabolic diseases and its application in clinical treatment. METHODS:PubMed,Web of Science,CNKI,WanFang and VIP databases were searched by computer using the keywords of"mitophagy,bone metabolism,osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells"in English and Chinese.The search time was from 2008 to 2023.According to the inclusion criteria,90 articles were finally included for review and analysis. RESULTS AND CONCLUSION:Mitophagy promotes the generation of osteoblasts through SIRT1,PINK1/Parkin,FOXO3 and PI3K signaling pathways,while inhibiting osteoclast function through PINK1/Parkin and SIRT1 signaling pathways.Mitophagy leads to bone loss by increasing calcium phosphate particles and tissue protein kinase K in bone tissue.Mitophagy improves the function of chondrocytes through PINK1/Parkin,PI3K/AKT/mTOR and AMPK signaling pathways.Modulation of mitophagy shows great potential in the treatment of bone diseases,but there are still some issues to be further explored,such as different stages of drug-activated mitophagy,and the regulatory mechanisms of different signaling pathways.

Objective: This study explored whether anxiety and core self-evaluation mediate the relationship between negative life events and depressive symptoms in adolescents of the Yi ethnic minority in China. Methods: In this cross-sectional study, a convenience sample of 627 Yi adolescents 10–19 years old (252 males, 40.2%) from primary, middle and high schools in Liangshan Prefecture in China completed the Adolescent Self-Rating Life Events Checklist (ASLEC) to report on negative life events, the Second Edition of the Beck Depression Inventory (BDI-II) to report on depressive symptoms, the Core Self-Evaluations Scale (CSES) to describe core self-evaluation, and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) to report anxiety symptoms. Results: In Pearson correlation analysis, total score and dimension subscores on the ASLEC correlated positively with total score and dimension subscores on the SCARED survey as well as with total score on the BDI. Total ASLEC score and dimension subscores correlated negatively with total CSES score. Mediation analysis indicated that negative life events affected depressive symptoms directly, as well as indirectly via core self-evaluation (mediating effect was 0.087; 95% confidence interval [CI], 0.063–0.113; p<0.001). The chain-mediated pathway effect was significant (mediating effect was 0.017; 95% CI, 0.011–0.026; p<0.001). Conclusion Yi adolescents in Liangshan Prefecture show certain prevalence of anxiety and depression, and they score relatively low on core self-evaluation. In this ethnic group, negative life events can affect depressive symptoms directly as well as indirectly through chain-mediated effects of anxiety and core self-evaluation.

Objective: This study aimed to explore the correlation between balance function and core muscle activation in patients with adolescent idiopathic scoliosis (AIS), compared to healthy individuals. Methods: A total of 24 AIS patients and 25 healthy controls were recruited. The limits of stability (LOS) test were conducted to assess balance function, while surface electromyography was used to measure the activity of core muscles, including the internal oblique, external oblique, and multifidus. Diaphragm thickness was measured using ultrasound during different postural tasks. Center of pressure (COP) displacement and trunk inclination distance were also recorded during the LOS test. Results: AIS patients showed significantly greater activation of superficial core muscles, such as the internal and external oblique muscles, compared to the control group (p < 0.05). Diaphragm activation was lower in AIS patients during balance tasks (p < 0.01). Although no significant difference was observed in COP displacement between the groups, trunk inclination was significantly greater in the AIS group during certain tasks (p < 0.05). Conclusion These findings suggest distinct postural control patterns in AIS patients, highlighting the importance of targeted interventions to improve balance and core muscle function in this population.

This paper summarizes Professor AI Rudi's experience in the diagnosis and treatment of skin pruritus based on the "unity of restoring form， regulating qi， and harmonizing spirit"， employing internal herbal medicine combined with external treatments. It is believed that the core pathogenesis of pruritus is the "imbalance of form， qi， and spirit"， with disturbed spirit as the onset， disordered qi as the key pathogenic factor， and physical changes as the manifestation of the disease. The treatment principle follows "restoring form-regulating qi-harmonizing spirit"， with a combination of internal and external therapies， and differentiation based on deficiency and excess. For excess conditions caused by pathogenic disturbances to the heart spirit， treatment is based on different patterns of wind-heat， damp-heat， and blood-heat， using Sangye （Morus alba）-Sangbaipi （Morus alba cortex）-Longchi （Draconis os） to disperse wind and clear heat， calm the spirit； Difuzi （Kochia scoparia）-Qinghao （Artemisia annua）-Tanxiang （Santalum album） to clear damp-heat and aromatically open the spirit； Mudanpi （Paeonia suffruticosa）-Chuanxiong （Ligusticum chuanxiong）-Shuiniujiao （Bubalus bubalis cornua） to cool the blood， activate circulation， and calm the spirit. For deficiency conditions caused by insufficient nourishment of the heart spirit， treatment is based on patterns of qi deficiency or blood deficiency， using Huangqi （Astragalus membranaceus）-Fuping （Lemna minor）-Wuweizi （Schisandra chinensis） to tonify the qi and stabilize the exterior； Heshouwu （Polygonum multiflorum）-Jili （Tribulus terrestris）-Shouwuteng （Polygonum multiflorum vine） to nourish the blood， moisten dryness， and calm the spirit. External treatments integrate traditional Chinese medicine therapies such as medicinal baths， gua sha， and ear acupuncture， with custom herbal wash formulas for restoring form， jojoba oil gua sha for regulating qi， and ear seed therapy using Wangbuliuxing （Vaccaria segetalis） for harmonizing the spirit， achieving a holistic treatment effect for form， qi， and spirit.

OBJECTIVE To assess the correlation between the steady-state minimal concentration （cmin） and 24 h area under the drug concentration-time curve （AUC24）/minimal inhibitory concentration （MIC） ratio （AUC24/MIC） of vancomycin in pediatric patients， and analyze independent risk factors for treatment failure. METHODS Data of hospitalized children treated with vancomycin and receiving therapeutic drug monitoring in our hospital from January 2021 to July 2024 were retrospectively collected and divided into success group and failure group according to whether the treatment was successful or not. Spearman correlation analysis was used to analyze the correlation between cmin and AUC24/MIC of vancomycin， and one-way and multifactorial Logistic regression analyses were used to screen the independent risk factors for vancomycin treatment failure. RESULTS A total of 59 children were included， with 41 in the success group and 18 in the failure group. Compared with the failure group， AUC24/MIC of vancomycin was significantly higher in the success group （P＝0.038）， but there was no statistically significant difference in the cmin of the two groups （P＞0.05）； cmin of vancomycin was significantly positively correlated with AUC24/MIC （r＝0.499， P＜0.001）， but it has a certain efficacy in predicting the achievement of the AUC24/MIC standard （≥400） （area under the receiver operator characteristic curve＝0.696）， with an optimal cutoff value of 6.05 mg/L determined by the Youden index. The efficacy of AUC24/ MIC in predicting treatment failure was superior to cmin （areas under the receiver operator characteristic curve were 0.671 vs. 0.523， P were 0.038 vs. 0.684）， with higher sensitivity （83.3% vs. 66.7%）. Hypoproteinemia and AUC24/MIC≤369.1 were independent risk factors for vancomycin treatment failure （P＜0.05）. The incidence of nephrotoxicity was 3.4%. CONCLUSIONS There is a significant positive correlation between cmin and AUC24/MIC of vancomycin in pediatric patients； hypoproteinemia and AUC24/MIC≤369.1 are independent risk factors for vancomycin treatment failure in children.

Objective: To explore the relationship between sleep characteristics, physical activity patterns, with depressive and anxiety symptoms in college students, so as to provide reference for student mental health promotion. Methods: From September to November 2023, a convenience sampling method was used to select 7 954 college students aged 18-22 years from 9 universities in Shanghai, Hubei, and Jiangxi. Assessments were conducted using the International Physical Activity Questionnaire Short-Form (IPAQ-SF), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale-7 (GAD-7), and Pittsburgh Sleep Quality Index (PSQI) to evaluate physical activity, depressive and anxiety symptoms, and sleep quality, respectively. Logistic regression analysis was employed to explore the impact of sleep characteristics and physical activity patterns on depressive and anxiety symptoms and their comorbidity among college students. Results: The detection rates for depressive symptoms, anxiety symptoms, and comorbid depression and anxiety symptoms were 25.67%, 35.39%, and 23.15%, respectively. Factors such as gender, grade, household registration, parental education level, annual family income, family structure, and dietary habits were all associated with the detection rates of depressive and anxiety symptoms and their comorbidity (χ2=4.41-118.39, P<0.05). Physical activity patterns, sleep duration, sleep quality, and sleepwake characteristics were also associated with the occurrence of depressive and anxiety symptoms and their comorbidity (χ2=9.66-627.70, P<0.05). Logistic regression analysis showed that college students who stayed up late and slept less than 7 had the highest risk of depressive and anxiety symptoms and their comorbidity (OR=1.93, 1.85, 1.88, P<0.05). Compared to regular physical activity patterns, insufficient physical activity patterns were associated with an increased risk of depressive and anxiety symptoms (all OR=1.18, P<0.05). Further stratified analysis results showed that the risk of depression, anxiety and their comorbidity increased in college students who stayed up late and slept less than 7 h, went to bed before midnight and slept less than 7 h, or went to bed before midnight and slept more than 7 h but did not have sufficient physical activity (P<0.05). Conclusions Sleep characteristics and physical activity patterns significantly affect depressive and anxiety symptoms in college students. Universities should strengthen sleep management and implement flexible physical activity interventions to help students establish healthy lifestyles.