Objectives: . Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model. Methods: . This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds. Results: . A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols. Conclusion . The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.

Plant-derived exosome-like nanovesicles (PELNs), characterized by a natural lipid bilayer membrane, have rapidly emerged as a prominent research frontier in medicine owing to their unique biological properties and robust therapeutic potential. This review comprehensively examines the biological profiles, mechanistic functions, and recent engineering advancements of PELNs. In terms of composition, PELNs are uniquely enriched in plant-specific glycolipids, phosphatidylserine, secondary metabolites, and highly stable 2'-O-methylated miRNAs. This distinct molecular makeup endows them with exceptional biocompatibility, negligible immunogenicity, and the capacity for cross-species molecular communication. Mechanistically, PELNs demonstrate profound anti-inflammatory efficacy by suppressing the NF-κB and NLRP3 inflammasome pathways. They also serve as potent immune modulators, driving macrophage M1/M2 polarization and regulating T cell activity. Additionally, PELNs exhibit promising antitumor capabilities, targeting malignancies via reactive oxygen species (ROS) induction, TRAIL pathway activation, and tumor microenvironment remodeling. Crucially, the plant miRNAs encapsulated within PELNs remain highly stable in the gastrointestinal tract, allowing them to selectively alter gene expression in specific gut microbiota communities. This interaction deeply influences host immunity and metabolism, highlighting the vital role in cross-species regulation. Advancements in bioengineering have further expanded the clinical utility of PELNs. Targeted delivery efficiency can be significantly amplified via surface functionalization (e.g., folate and RGD sequences) and state-of-the-art drug loading technologies such as sonication and electroporation. Consequently, engineered PELNs surpass traditional synthetic nanocarriers in penetrating natural physiological barriers, particularly for oral and transdermal drug administration. Despite these advantages, clinical translation is currently hindered by the lack of standardized isolation protocols, challenges in scalable manufacturing, and the need for robust quality control frameworks. Looking forward, the integration of multi-omics approaches and AI-driven “molecular fingerprinting”—coupled with the design of synthetic biomimetic vesicles—will be instrumental in overcoming these bottlenecks, ultimately establishing PELNs as a next-generation platform for precision medicine and targeted nanotherapeutic delivery.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

Objective To investigate the practical effects of pediatric rapid sequence intubation(RSI)nursing coordination training based on the LSPPDM(learn,see,practice,prove,do,maintain)framework in order to provide evidence for optimizing pediatric RSI nursing training programs.Methods Nurses from the intensive care unit(ICU)of Children's Hospital,Fudan University during Feb 2023 and Jan 2024 were divided into the experimental group(n=35)and the control group(n=35)by block randomization.The experimental group received LSPPDM framework-based training,while the control group underwent conventional training with theoretical lectures and procedural demonstrations.Outcomes included training satisfaction,theoretical knowledge and procedural skill assessment scores,team collaboration compliance and RSI procedure time were compared between the two groups.Results The experimental group demonstrated significantly higher training satisfaction(123.80±2.04 vs.117.26±9.82,P<0.05),superior post-training theoretical knowledge and procedural skills(P<0.05),enhanced team collaboration compliance(P<0.05),and shorter RSI completion time(P<0.05)compared with the control group.Conclusion Pediatric RSI nursing coordination training based on the LSPPDM framework can effectively increase training satisfaction,promote theoretical and procedural skills and reduce completion time in nurses.

Objective:To investigate the effect of baicalin on Th17/Treg cell balance in autoimmune myocarditis(AM)rats and its possible mechanism.Methods:AM rats were grouped into control group,model group,low-dose baicalin group[20 mg/(kg·d)],high-dose baicalin group[100 mg/(kg·d)],and high mobility group B1(HMGB1)inhibitor group;the cardiac ultrasound diagnostic instrument was applied to detect the cardiac function of rats in each group,the cardiac mass index,hematoxylin eosin(HE)staining was applied to detect myocardial pathology,ELISA was applied to detect serum levels of cytokines such as IFN-γ,IL-4,IL-17 and TGF-β,Western blot was applied to detect the expression levels of myocardial HMGB1 and receptor for advanced glycation end product(RAGE)proteins,flow cytometry was applied to detect the proportions of Th17 and Treg cells in the spleen.Results:Com-pared with the control group,the rats in the model group showed myocarditis symptoms and diffuse inflammatory cell infiltration under the endocardium,the left ventricular end diastolic diameter(LVEDd),left ventricular end systolic diameter(LVEDs),IFN-γ,IL-4,IL-17,TGF-β,the proportion of Th17 cells and the expression levels of HMGB1 and RAGE proteins increased,the left ventricular short axis shortening fraction(FS%),ejection fraction(LVEF%),cardiac mass index,and the proportion of Treg cell decreased(P<0.05);compared with the model group,the myocardial interstitial edema and inflammatory cell infiltration were reduced in the ba-icalin low and high dose groups and HMGB1 inhibitor groups,and the proportion of LVEDd,LVEDs,serum IFN-γ and IL-17,spleen Th17 cells and the expression levels of myocardial HMGB1 and RAGE protein were decreased.FS%,LVEF%,heart mass index,IL-4,TGF-β,Treg cell proportion increased;compared with the low-dose baicalin group,the symptoms of myocarditis in the high-dose baicalin group and the HMGB1 inhibitor group were obviously improved,the LVEDd,LVEDs,IFN-γ,IL-17,the proportion of Th17 cells,and the expression levels of HMGB1 and RAGE proteins decreased,the FS%,LVEF%,cardiac mass index,IL-4,TGF-β,and the proportion of Treg cells increased(P<0.05);there was no statistically obvious difference in each index between the high-dose baicalin group and the HMGB1 inhibitor group(P>0.05).Conclusion:The protective effect of baicalin on AM rats is related to the inhibition of HMGB1/RAGE axis activation.

Ferroptosis is a programmed cell death depends on iron and lipid peroxidation,which has been recognized as the key pathogenic factor for the occurrence of various diseases in recent years,especially playing a significant role in neurodegenerative diseases.Ferroptosis triggers lipid peroxidation and oxidative stress in neuronal cells,leading to neuronal damage and death,thereby accelerating disease progression.Hydrogen sulfide,as an endogenous gaseous signaling molecule,exhibits multiple protective effects,including anti-inflammatory,antioxidant,and anti-ferroptosis properties.Hydrogen sulfide can effectively inhibit the occurrence of ferroptosis through various mechanisms,such as regulating iron metabolism,inhibiting lipid peroxidation,and enhancing the activity of antioxidant enzymes,thereby slowing down the progression of neurodegenerative diseases.This article reviews the related research progress on hydrogen sulfide and ferroptosis and ferroptosis-mediated neurodegenerative diseases,and analyzes the underlying mechanisms,aims to provide new insights and theoretical foundations for the treatment of neurodegenerative diseases.

Objective To investigate the effect of Porphyromonas gingivalis(P.gingivalis)on Th17/Treg imbalance and vascular endothelial function in ApoE-/-mice.Methods Eight-week-old ApoE-/-mice were inoculated orally with P.gingivalis every other day and received high-fat diet for 8 weeks.The alveolar bone loss was assessed by Micro-CT and the oral microflora of mice was analyzed by 16S rRNA sequencing technology.HE staining and oil red O staining were used to detect plaque formation in ApoE-/-mice.The total cholesterol(TC),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C)and high-density lipoprotein cholesterol(HDL-C)levels of mice were detected by biochemical detection technology.Real-time quantitative PCR(qRT-PCR)and immunohistochemistry(IHC)were used to detect the indicators of endothelial injury in the model aortic plaques,including vascular cell adhesion molecule(VCAM),intercellular adhesion molecule(ICAM),matrix metallopeptidase(MMP)-2 and MMP-9.The relative proportions of Th17 and Treg in aortic plaque and spleen were detected by IHC,qRT-PCR and flow cytometry,including interleukin-17(IL-17),retinoic acid related orphan receptor γt(RORγt)and forkhead box P3(Foxp3).Results In ApoE-/-mice infected with P.gingivalis,the severity of alveolar bone loss was increased(P＜0.01);the diversity of oral microbiota was decreased(P＜0.05),and the composition of oral microbiota was changed.The proportion of atherosclerotic plaque area was increased(P＜0.01),paralleled by elevated serum levels of TG,TC and LDL-C(P＜0.05),alongside a significant de-crease in HDL-C(P＜0.01).Aortic plaques exhibited upregulated protein expression of VCAM and ICAM as well as heightened mRNA levels of ICAM,VCAM,MMP-2 and MMP-9(P＜0.05).The levels of IL-17 related protein and RORγt transcriptional activity in aortic plaque were increased(P＜0.01),while the levels of Foxp3 related protein and gene were decreased(P＜0.01).The ratio of Th17/Treg cells in spleen was imbalanced(P＜0.05).Conclusion Periodontitis caused by the imbalance of the oral flora of ApoE-/-mice induced by P.gingivalis can cause Th17/Treg imbalance in aortic plaque and exacerbate the endothelial dysfunction during ather-osclerosis.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective To investigate the short-term efficacy of 3D-printed artificial vertebral body combined with PEEK-Cage implantation in anterior cervical surgery for ossification of the posterior longitudinal ligament of the cervical spine(OPLL).Methods The clinical data of 15 patients with OPLL who underwent anterior cervical surgery with 3D-printed artificial vertebral body and PEEK-Cage implantation in the Fifth Department of Orthopaedics,Liaoning Provincial People's Hospital from September 2022 to June 2023 was retrospectively analyzed.The surgical time,intraoperative blood loss,postoperative drainage volume,bed rest time,hospital stay,and surgery-related complications of patients were analyzed.The Japanese Orthopaedic Association(JOA)score and visual analogue scale(VAS)score of patients were counted before surgery,3 days after surgery,1 month after surgery and 6 months after surgery.The changes of Cobb angle of fusion segment of patients were recorded before surgery,3 days after surgery,1 month after surgery and 6 months after surgery.Results All 15 patients successfully completed the surgery.The surgical time was 130 to 160 minutes,with an average of(148.68±10.04)minutes.The intraoperative blood loss was 50 to 200 mL,with an average of(130.0±18.8)mL.The postoperative drainage volume was 220 to 980 mL,with an average of(270.0±24.6)mL.The bed rest time was 3 to 11 days,with an average of(3.6±2.8)days.The hospital stay was 7 to 16 days,with an average of(8.2±2.6)days.All patients'incisions healed in the first stage,and no infection occurred.One patient suffered from dural sac tear during surgery;4 patients had dysphagia after surgery;1 patient suffered from muscle weakness of one limb after surgery;Hematoma formed in the incision of cervical spine in 1 patient 3 days after surgery.At 3 days,1 month,and 6 months after surgery,the Cobb angle,VAS score and JOA score of 3 patients with myeloid symptoms and upper limb root pain were significantly improved compared with those before surgery(P<0.05),and the Cobb angle and JOA score of 12 patients with only myeloid symptoms were significantly improved compared with those before surgery(P<0.05).Conclusion 3D-printed artificial vertebral body combined with PEEK-Cage implantation in anterior cervical surgery is an effective method for the treatment of OPLL,which can significantly relieve patients'pain and improve their dysfunction in a short time,with good stability and fusion effect.