Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

Objective:To observe the intervention effect of personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients.Methods:86 stroke rehabilitation patients who were admitted to our hospital from January 2023 to June 2024 were prospectively selected,they were divided into control group and study group according to the random number table method,with 43 cases in each group,the control group received rehabilitation training,while the study group received personalized nutrition program combine with rehabilitation training.Simple Fugl Meyer motor function(FMA)score,immune function indicators[immunoglobulin(Ig)A,IgG,complement C3,IgM,complement C4],National Institutes of Health Stroke Scale(NIHSS),nutritional status indicators[albumin(ALB),prealbumin(PA),total protein(TP),hemoglobin(HB)],Stroke Specific Quality of Life Scale(SS-QOL),Barthel Index(BI)score were compared between the two groups.Results:NIHSS score in the study group at 8 weeks after intervention was lower than that in the control group,and SS-QOL score,BI score,FMA score,IgM,IgA,IgG,complement C3,complement C4,ALB,HB,TP and PA were higher than those in the control group(P＜0.05).Conclusion:Personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients,can reduce neurological damage,improve limb motor function,enhance nutritional status,immunity,and quality of life.

Objective·To investigate the spatial epigenetic characteristics of spontaneous colon tumors in Apcmin/+mice.Methods·A spatial assay for transposase-accessible chromatin with high-throughput sequencing(ATAC-seq)technology platform was established using an eight-month-old male Apcmin/+mouse model with spontaneous colon tumors.One tumor from a mouse was harvested and embedded in OCT compound for serial cryosectioning;one tissue section was stained with hematoxylin-eosin(H-E)to observe its histological characteristics,while an adjacent section was processed using spatial ATAC-seq technology to generate spatially resolved DNA libraries,followed by sequencing to obtain spatial chromatin accessibility data.Another tumor from the same mouse was digested into a single-cell suspension,in which viable single cells were sorted by flow cytometry and processed for single-cell RNA sequencing.The results were integrated with spatial chromatin accessibility data to jointly analyze the epigenetic characteristics of the colon tumor microenvironment.Results·A stable spatial ATAC-seq platform was successfully established,dividing the tumor into malignant,non-malignant,and malignant-non-malignant boundary regions.Transcription factors enriched in malignant regions included NK2 homeobox 5(NKX2-5)and transcription factor 3(TCF3).Analysis of transcription factor enrichment in the 3 regions revealed two distinct expression trends:one showing a gradual decrease from malignant to boundary to non-malignant regions,and the other exhibiting high expression in malignant and boundary regions but low expression in non-malignant regions.Gene analysis across regions revealed significant upregulation of hypoxia response,transforming growth factor(TGF),and Kirsten rat sarcoma viral oncogene homolog(KRAS)signaling pathways in malignant regions,with cell cycle-related functions markedly enhanced.Analysis of cell-cell interactions in the tumor microenvironment revealed significant differences in interaction strength:strong interactions within non-malignant regions,moderate interactions between boundary and non-malignant regions,and weak interactions between malignant and boundary regions as well as between malignant and non-malignant regions.Conclusion·Colon tumors in Apcmin/+mice exhibit high spatial heterogeneity;malignant regions were enriched with transcription factors including TCF3,and cell interactions between malignant regions and boundary/non-malignant regions were relatively weak.

Objective To explore the factors influencing blood drug concentrations of first-line anti-tuberculosis drugs in fixed-dose combinations by analyzing therapeutic drug monitoring data from tuberculosis patients receiving these regimens.Methods This retrospective study enrolled 224 patients who received treatment at Guangzhou Chest Hospital between January 2020 and December 2024.All participants underwent standardized therapy during the intensive phase,with therapeutic drug monitoring of first-line anti-tuberculosis drugs(ANTDs),including isoniazid(INH)and rifampicin(RFP).Data collection was completed in January 2025,at which time clinical records and measured INH and RFP plasma concentrations were updated.Data analysis was conducted from January to February 2025.Eight baseline variables—gender,age,hypoproteinemia(serum albumin<35 g/L),glomerular filtration rate(GFR),and others—were collected.Univariate chi-square tests and multivariate logistic regression analyses were performed to identify independent risk factors associated with subtherapeutic INH and RFP plasma concentrations.Results Among the study participants,71.43%(160/224)exhibited blood drug concentrations below the reference range for INH,compared to 41.07%(92/224)for RFP.The mean blood concentrations(mg/L,±SD)were 2.532±1.371 for INH and 9.428±4.317 for RFP,respectively.One-way analysis indicated significant associations between male gender,positive etiological test results,and subtherapeutic RFP concentrations(P<0.05),suggesting statistically significant differences.Multivariate regression analysis further revealed that male gender(OR=1.992,95%CI:1.094～3.628)and positive etiological tests(OR=1.929,95%CI:1.058～3.517)were independent risk factors for low RFP levels.Conclusions This study demonstrates that therapeutic drug monitoring(TDM)frequently identifies subtherapeutic RFP concentrations in tuberculosis patients undergoing treatment.Multivariate analysis reveals that male sex and positive pathogen test results are independent risk factors associated with low RFP plasma levels.Consequently,clinicians should exercise heightened vigilance in patients exhibiting these characteristics,promptly implementing TDM to guide individualized dose adjustments.Such an approach is crucial for optimizing treatment efficacy and minimizing the risk of drug resistance development.

Objective·To investigate the spatial epigenetic characteristics of spontaneous colon tumors in Apcmin/+mice.Methods·A spatial assay for transposase-accessible chromatin with high-throughput sequencing(ATAC-seq)technology platform was established using an eight-month-old male Apcmin/+mouse model with spontaneous colon tumors.One tumor from a mouse was harvested and embedded in OCT compound for serial cryosectioning;one tissue section was stained with hematoxylin-eosin(H-E)to observe its histological characteristics,while an adjacent section was processed using spatial ATAC-seq technology to generate spatially resolved DNA libraries,followed by sequencing to obtain spatial chromatin accessibility data.Another tumor from the same mouse was digested into a single-cell suspension,in which viable single cells were sorted by flow cytometry and processed for single-cell RNA sequencing.The results were integrated with spatial chromatin accessibility data to jointly analyze the epigenetic characteristics of the colon tumor microenvironment.Results·A stable spatial ATAC-seq platform was successfully established,dividing the tumor into malignant,non-malignant,and malignant-non-malignant boundary regions.Transcription factors enriched in malignant regions included NK2 homeobox 5(NKX2-5)and transcription factor 3(TCF3).Analysis of transcription factor enrichment in the 3 regions revealed two distinct expression trends:one showing a gradual decrease from malignant to boundary to non-malignant regions,and the other exhibiting high expression in malignant and boundary regions but low expression in non-malignant regions.Gene analysis across regions revealed significant upregulation of hypoxia response,transforming growth factor(TGF),and Kirsten rat sarcoma viral oncogene homolog(KRAS)signaling pathways in malignant regions,with cell cycle-related functions markedly enhanced.Analysis of cell-cell interactions in the tumor microenvironment revealed significant differences in interaction strength:strong interactions within non-malignant regions,moderate interactions between boundary and non-malignant regions,and weak interactions between malignant and boundary regions as well as between malignant and non-malignant regions.Conclusion·Colon tumors in Apcmin/+mice exhibit high spatial heterogeneity;malignant regions were enriched with transcription factors including TCF3,and cell interactions between malignant regions and boundary/non-malignant regions were relatively weak.

Protein acylation is a group of recently identified chemical modification closely linked to me-tabolism with the metabolic intermediate acyl-coenzyme A(acyl-coA)as the substrate.Acylation posses-ses similar chemical structures to acetylation,with differences in carbon chain length,hydrophobicity,and charge.Most acyl-CoAs are intermediate metabolites,the level of which are influenced by the intra-cellular metabolic state.Therefore,protein acylation is greatly affected by cellular metabolism.Metabolic reprogramming is an important feature of tumor cells.In addition to the classic"Warburg effect",cancer cells exhibit abnormal regulation in lipid metabolism,amino acid metabolism and biological oxidation.Acylation on histones can impact chromatin structure,regulating gene expression and DNA repair critical-ly involved in cancer progression.On the other hand,acylation on non-histones can regulate signal trans-duction,enzymatic activity,or protein-protein interactions to affect cancer cell behaviors such as prolifer-ation,invasion,immune evasion,and vascular remodeling.Focusing on three types of acylation closely related to metabolism:lactylation,succinylation,and crotonylation,this article introduces the produc-tion,raw materials,regulatory mechanism and factors of protein acylation.We then review representative studies to show how cancer cell metabolic reprogramming can regulate these processes and histone/non-histone acylation levels,which subsequently affect the expression and function metabolism-related genes/proteins to form a bidirectional dialogue and accelerate cancer progression.In addition,we present sever-al prospects for potential research directions and translational applications in the field.

Background Accurate T-staging is critical for esophageal cancer therapy,but CT-based assessment has significant limitations.Large vision models(LVMs)hold promise,yet their zero-shot clinical diagnostic capability without fine-tuning remains unvalidated.Methods A retrospective analysis was conducted on the chest CT images from 98 esophageal cancer patients and 50 normal controls.Using radiologist-consensus as the gold standard,the zero-shot T-staging performance of 3 LVMs(GPT-5,Gemini,and MedGemma)was evaluated with prompts of varying complexity.Results GPT-5 exhibited the highest accuracy and stability.Significant biases were observed among models:Gemini tended to over-stage,while MedGemma showed a tendency to under-stage.All models faced challenges in identifying early-stage tumors,but structured prompts improved diagnostic performance for mid-to-late stage lesions.Conclusion LVMs have potential for zero-shot T-staging,but their performance highly depends on model choice and prompt design.The generic model GPT-5 show superior zero-shot generalization.However,current model performance is not yet clinically viable,especially for early diagnosis.Future work should focus on fine-tuning with high-quality clinical data and developing standardized prompt frameworks.

Osteoarthritis(OA)is a common joint disease in clinical practice,and cartilage damage is a typical pathological change.The pathogenesis of OA is complex,and various adverse factors can lead to the occurrence of OA.Mitochondria are im-portant organelles within cells and play important roles in cellular physiological and pathological activ-ities.Mitochondrial quality control is an important regulatory mechanism in the body to maintain nor-mal mitochondrial structure and function,mainly including mitochondrial biogenesis,mitochondrial dynamics,mitochondrial autophagy,mitochondrial oxidative stress,and other forms.The imbalance of mitochondrial quality control in chondrocytes is closely related to the occurrence and development of osteoarthritis,and regulating the balance of mi-tochondrial quality control is a potential therapeu-tic point for osteoarthritis.The author reviewed rel-evant research literature in recent years to provide a review of the relationship between mitochondrial quality control and the occurrence and develop-ment of osteoarthritis,in order to provide new ideas and directions for the research and diagnosis and treatment strategies of osteoarthritis.

Cochlear implantation is the most effective method to restore hearing in patients with severe and profound hearing impairment.There are individual differences in rehabilitation after cochlear implantation.In order to better understand the underlying factors of rehabilitation,machine learning has been gradually applied to the reha-bilitation prediction of cochlear implant patients.Since related literature is still in its infancy,many problems still remain unresolved,such as insufficient sample size and lack of diversification of data features.We suggest that fu-ture research may expand the sample size,optimize machine learning models,and fully explore the predictive factors affecting the rehabilitation of cochlear implantation,and make machine learning a better tool in the area of cochlear implantation.

Alexithymia refers to a deficiency of emotional structure, but the neurologic and psychological mechanisms of non-suicidal self-injury (NSSI) in adolescents are still unclear. The neural basis of alexithymia may play a role in adolescents′ NSSI by affecting the function of emotion regulation and emotion expression. At the same time, NSSI is also considered to be a non-adaptive emotional regulation mode for alexithymia individuals, which interacts with personality factors and psychosocial factors. This study explored the neuropsychological mechanism of alexithymia in adolescent NSSI from the perspective of emotional function, and provided theoretical basis for early identification and precise intervention of alexithymia and adolescent NSSI.