BackgroundPatients with chronic schizophrenia often suffer from cognitive impairment. Traditional cognitive rehabilitation training has problems such as a single form and poor compliance， making it urgent to develop new cognitive intervention methods. ObjectiveTo explore the intervention effect of smartphone games on the cognitive function of patients with chronic schizophrenia， and to analyze the differences in cognitive function improvement between patients of different genders， in order to provide references for the cognitive function intervention of these patients. MethodsThis study was a prospective cohort study. A total of 30 patients who were hospitalized in the Psychiatry Department of Chaohu Hospital Affiliated to Anhui Medical University from March to October 2021， met the diagnostic criteria for schizophrenia as defined in the International Classification of Diseases， tenth edition （ICD-10）， and had a disease duration of above 5 years， were selected as the research subjects. All patients received smartphone game intervention for 12 weeks， 5 times a week， each session lasting 1 hour， in addition to conventional antipsychotic drug treatment. At the baseline and at 3， 6， 9， and 12 weeks of the intervention， the cognitive function was evaluated using the Repeatable Battery for the Assessment of Neuropsychological Status （RBANS）， the Positive and Negative Syndrome Scale （PANSS） was used to assess mental symptoms， and the Problematic Mobile Gaming Questionnaire （PMGQ） was used to assess addiction symptoms. ResultsA total of 26 patients （86.67%） completed the study， including 13 females and 13 males. The time effects， group effects， and interaction effect between time and group for the immediate memory factor score of RBANS in the female group and the male group were all statistically significant （F=36.682， 5.712， 3.090， P<0.05 or 0.01）， and the time effects and group effects for the verbal and delayed memory factors as well as the total score in both groups were also statistically significant （F=3.841， 6.149， 15.372， P<0.05 or 0.01）. The time effects and group effects of the total score of PANSS in both groups had no statistical significance （F=2.041， 0.623， P>0.05 for both）， and the interaction effect between time and group was statistically significant （F=5.728， P<0.01）. The time effects， group effects， and interaction effect of the total score of PMGQ in both groups were all without statistical significance （F=2.672， 0.166， 0.642， P>0.05 for both）. ConclusionSmartphone game intervention may help improve the cognitive function of patients with chronic schizophrenia （especially immediate memory， verbal function， and delayed memory）， and the benefits are greater for female patients. The smartphone game intervention did not induce game addiction， but no significant improvement in psychotic symptoms was observed. ［Funded by Excellent Young Talents Support Program of Anhui Provincial Department of Education （number， gxyqZD2022022）； www.chictr.org.cn number， ChiCTR2100044113］

Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

BACKGROUND:Studies have shown that rheumatoid arthritis and osteoporosis are positively correlated,but the causal relationship and related mechanisms have not yet been confirmed.With the cross-fertilization of computer science and life sciences,Mendelian randomization and bioinformatics analyses based on genome-wide association study(GWAS)and transcriptome sequencing data can assess the causal relationship between two diseases,explore the related mechanisms,and mine the therapeutic targets,which will be beneficial to the precision treatment of rheumatoid arthritis combined with osteoporosis.OBJECTIVE:To explore the causal relationship between rheumatoid arthritis and osteoporosis using two-sample Mendelian randomization and to mine potential co-morbid targets and potential targeted drugs through summary-data-based Mendelian randomization and bioinformatics analyses,aiming to provide theoretical basis for mechanism exploration and precision treatment in the field of rheumatoid arthritis combined with osteoporosis.METHODS:(1)Firstly,GWAS data of rheumatoid arthritis,osteoporosis,and cis-expression quantitative trait locus(cis-eQTL)in Asian and European populations were downloaded from the GWAS Catalog,IEU Open GWAS,FinnGen,and eQTLGen databases,and were used for two-sample Mendelian randomization analysis and summary-data-based Mendelian randomization analysis.(2)Transcriptome sequencing data of rheumatoid arthritis(GSE93272 and GSE15573)were downloaded from the GEO database for bioinformatics analysis.(3)Subsequently,forward and inverse Mendelian randomization analyses between rheumatoid arthritis and osteoporosis were performed,and inverse variance weighted was used as the main metric for the analyses,and the results were corroborated with MR Egger,simple mode,weighted median and weighted mode.(4)Then,the genes closely related to rheumatoid arthritis and osteoporosis were identified based on the summary-data-based Mendelian randomization analysis,and the co-disease targets of rheumatoid arthritis and osteoporosis were mined based on cross-analysis.Meanwhile,the biological functions of the co-morbid targets were verified based on bioinformatics analysis and cellular experiments.(5)In addition,a rheumatoid arthritis risk prediction nomogram was constructed based on DYRK2,and its prediction performance was verified by receiver operating characteristic curve,correction curve and decision curve.Finally,the target potential drugs were mined based on Enrichr database and molecular docking was performed.RESULTS AND CONCLUSION:(1)Forward Mendelian randomization analysis of rheumatoid arthritis and osteoporosis showed statistically significant results except for GCST90044540 and GCST90086118,and all other results indicated a significant causal relationship and positive correlation between rheumatoid arthritis and osteoporosis.(2)Inverse Mendelian randomization analysis suggested that no significant causal relationship was seen between osteoporosis and rheumatoid arthritis.(3)Summary-data-based Mendelian randomization analysis identified a total of 412 and 344 genes positively associated with rheumatoid arthritis and osteoporosis,and 421 and 347 genes negatively associated.Based on the cross-analysis,26 co-morbid genes were subsequently obtained.Among them,DYRK2 was a potential therapeutic target,and subsequent bioinformatics analysis and cellular experiments confirmed its important role in the progression of rheumatoid arthritis and osteoporosis.(4)Furthermore,the constructed nomogram has excellent predictive performance.Finally,four potential DYRK2-targeting drugs(undecanoic acid,metyrapone,JNJ-38877605,and ACA)were discovered and molecular docking also demonstrated reliable targeting ability.(5)In conclusion,based on GWAS data from Asian and European populations,we successfully demonstrated that rheumatoid arthritis and osteoporosis are causally related at the genetic level,DYRK2 is a potential therapeutic target,and four small molecules are potential target drugs.

BACKGROUND:Studies have shown that rheumatoid arthritis and osteoporosis are positively correlated,but the causal relationship and related mechanisms have not yet been confirmed.With the cross-fertilization of computer science and life sciences,Mendelian randomization and bioinformatics analyses based on genome-wide association study(GWAS)and transcriptome sequencing data can assess the causal relationship between two diseases,explore the related mechanisms,and mine the therapeutic targets,which will be beneficial to the precision treatment of rheumatoid arthritis combined with osteoporosis.OBJECTIVE:To explore the causal relationship between rheumatoid arthritis and osteoporosis using two-sample Mendelian randomization and to mine potential co-morbid targets and potential targeted drugs through summary-data-based Mendelian randomization and bioinformatics analyses,aiming to provide theoretical basis for mechanism exploration and precision treatment in the field of rheumatoid arthritis combined with osteoporosis.METHODS:(1)Firstly,GWAS data of rheumatoid arthritis,osteoporosis,and cis-expression quantitative trait locus(cis-eQTL)in Asian and European populations were downloaded from the GWAS Catalog,IEU Open GWAS,FinnGen,and eQTLGen databases,and were used for two-sample Mendelian randomization analysis and summary-data-based Mendelian randomization analysis.(2)Transcriptome sequencing data of rheumatoid arthritis(GSE93272 and GSE15573)were downloaded from the GEO database for bioinformatics analysis.(3)Subsequently,forward and inverse Mendelian randomization analyses between rheumatoid arthritis and osteoporosis were performed,and inverse variance weighted was used as the main metric for the analyses,and the results were corroborated with MR Egger,simple mode,weighted median and weighted mode.(4)Then,the genes closely related to rheumatoid arthritis and osteoporosis were identified based on the summary-data-based Mendelian randomization analysis,and the co-disease targets of rheumatoid arthritis and osteoporosis were mined based on cross-analysis.Meanwhile,the biological functions of the co-morbid targets were verified based on bioinformatics analysis and cellular experiments.(5)In addition,a rheumatoid arthritis risk prediction nomogram was constructed based on DYRK2,and its prediction performance was verified by receiver operating characteristic curve,correction curve and decision curve.Finally,the target potential drugs were mined based on Enrichr database and molecular docking was performed.RESULTS AND CONCLUSION:(1)Forward Mendelian randomization analysis of rheumatoid arthritis and osteoporosis showed statistically significant results except for GCST90044540 and GCST90086118,and all other results indicated a significant causal relationship and positive correlation between rheumatoid arthritis and osteoporosis.(2)Inverse Mendelian randomization analysis suggested that no significant causal relationship was seen between osteoporosis and rheumatoid arthritis.(3)Summary-data-based Mendelian randomization analysis identified a total of 412 and 344 genes positively associated with rheumatoid arthritis and osteoporosis,and 421 and 347 genes negatively associated.Based on the cross-analysis,26 co-morbid genes were subsequently obtained.Among them,DYRK2 was a potential therapeutic target,and subsequent bioinformatics analysis and cellular experiments confirmed its important role in the progression of rheumatoid arthritis and osteoporosis.(4)Furthermore,the constructed nomogram has excellent predictive performance.Finally,four potential DYRK2-targeting drugs(undecanoic acid,metyrapone,JNJ-38877605,and ACA)were discovered and molecular docking also demonstrated reliable targeting ability.(5)In conclusion,based on GWAS data from Asian and European populations,we successfully demonstrated that rheumatoid arthritis and osteoporosis are causally related at the genetic level,DYRK2 is a potential therapeutic target,and four small molecules are potential target drugs.

ObjectiveTo investigate the effect of bone morphogenetic protein 3 （BMP3） on the expression of inflammatory factors and joint damage in adjuvant arthritis （AA） induced by Freund′s complete adjuvant （FCA） in rats. MethodsThe AIA model was established in SD rats by intradermal injection of FCA into the toes of the left hind limb， and BMP3 overexpressing adenovirus （Ad-BMP3） or control adenovirus （Ad-NC） was injected in situ into the knee joint cavity on day 8 after modeling. Subsequently， HE staining was used to observe the histopathological changes in the synovium， immunohistochemistry was used to detect the expression of BMP3 in the synovium， and ELISA was used to analyze the expression levels of IL-6， IL-1β and TNF-α in the serum. Primary fibroblast-like synoviocytes （FLS） were isolated from AIA rats， the expression of BMP3 in FLS was knocked down or overexpressed， and Western blot and qRT-PCR were used to detect the expression levels of BMP3 and inflammatory factors in FLS. ResultsHE staining confirmed the successful establishment of the AIA model. Compared with normal rats， AIA rats showed decreased BMP3 expression in synovial tissue. Knockdown of BMP3 promoted the protein expression of inflammatory factors （IL-6， IL-1β， IL-17A， TNF-α） and the mRNA expression of chemokines ［C-C motif chemokine ligand 2 （CCL2）， C-C motif chemokine ligand 3 （CCL3）， Vascular Cell Adhesion Molecule-1 （VCAM-1）］ in FLS. In contrast， overexpression of BMP3 suppressed the expression of these inflammatory factors and chemokines. Intra-articular injection of BMP3-overexpressing adenovirus in AIA rats upregulated BMP3 expression in synovial tissue and inhibited synovial inflammation and bone erosion. ConclusionBMP3 suppresses the production of inflammatory factors and chemokines in FLS， thereby alleviating synovial hyperplasia and bone erosion in arthritis.

Decabromodiphenyl ether(BDE-209)and decabromodiphenyl ethane(DBDPE)are widely used brominated flame retardants,which have been detected in the atmosphere,water,soil,and various organisms.In this study,a method based on high-performance liquid chromatography-inductively coupled plasma-mass spectrometry(HPLC-ICP-MS)was developed for determination of BDE-209 and DBDPE in sediment.Firstly,the target compounds in the sediments were extracted by accelerated solvent extraction(ASE),and the extraction solvent was hexane/dichloromethane(1∶1,V/V).The extract was concentrated by rotary evaporation and purified by a composite silica gel column(6 g neutral silica gel,8 g acidic silica gel,and 4 g anhydrous sodium sulfate),concentrated by nitrogen blowing,and then re-dissolved with 1 mL of toluene for instrumental determination.The chromatographic separation was carried out on a TC-C18(2)column(250 mm×4.6 mm)with isocratic elution using methanol-isopropanol-water(89∶6∶5,V/V)as the mobile phase,and the samples were separated within 20 min.Further,the Br element was quantified by ICP-MS to realize the detection of the target.The results showed that the method established in this study exhibited good linearity(R2>0.999)in the range of 100-10000 ng/mL,and the limits of quantification(LOQs)of the method were 2.0 ng/g for BDE-209 and 10.0 ng/g for DBDPE,with the relative standard deviations(RSDs,n=3)lower than 10%,and the recoveries were in the acceptable range(80.9%-120.7%).The matrix effect was effectively controlled within 10%.In addition,by analyzing the actual sediment samples from Guangxi,a background point,and Taizhou,Zhejiang,a typical contaminated area,it was found that neither BDE-209 nor DBDPE was detected in the sediment from Guangxi,while the concentrations of BDE-209 and DBDPE in the sediment from Zhejiang ranged from 1591.8 to 3362.9 ng/g,which further demonstrated the applicability and reliability of the method for analyzing actual environmental samples.This study provided a strong technical support for the accurate detection of POPs in the environment.

Objective:To compare the effectiveness between the unilateral biportal endoscopy (UBE) and the bilateral biportal endoscopy (BBE) decompression in the treatment of two-level central lumbar spinal stenosis (LSS).Methods:From January 2022 to April 2024, the clinical data of 31 patients with two-level central LSS treated with UBE and BBE unilateral approach with bilateral decompression were retrospectively analyzed. There were 17 males and 14 females; the age ranged from 60 to 82 years, with a mean of (71.2±5.9) years. The operative segments were L 2-3 and L 3-4 in 2 cases, L 3-4 and L 4-5 in 29 cases. Among them, 15 cases were treated with UBE and the other 16 cases were treated with BBE. The age, gender, course of disease, operation time, intraoperative fluoroscopy frequency, ambulation time, hospitalization days, incision healing grade and surgical complications were compared between the two groups. Visual analogue scale (VAS) and Oswestry disability index (ODI) were used to assess the low back and leg pain degree and functional improvement situation before operation, 3 months after operation and at last follow-up. Imaging examinations were performed before and after operation to evaluate the height of intervertebral space, the rate of articular process preservation and the area of dural sac in the two groups. Measurement data with normal distribution were represented as mean±standard deviation( ± s), and the comparison between groups was conducted using the t-test; measurement data with skewed distribution were represented as (interquartile range) [ M( Q1, Q3)], inter-group comparisons were conducted using the two-sample rank sum test, and intra-group comparisons before and after surgery were conducted using the rank sum test for two related samples or the rank sum test for multiple related sample data. The count data were represented as cuses and percentages, and the comparison between groups was conducted using the Chi-square test or Fisher exact probability method. Results:Thirty-one patients were successfully operated and followed up for 6-18 months, with an average follow-up time of (11.4±3.2) months. There was no significant difference in age, gender, course of disease, ambulation time and hospitalization days between the two groups ( P>0.05). There were significant differences between UBE and BBE in fluoroscopy frequency [(4.2±0.7) vs (2.3±0.4)] and operation time [(118.2±12.8) min vs (72.3±5.6) min] ( P<0.001). Three months after operation and at last follow-up, the VAS scores and ODI were significantly lower than that befor the operation, and the dural sac area was significantly larger than that before the operation in the two groups ( P<0.001), but there was no significant difference in VAS, ODI and dural sac area before or after operation between the two groups ( P>0.05). There was no statistical difference in the intervertebral height between the two groups compared to their respective preoperative measurements( P>0.05). The rate of articular process preservation on the operated side was about 80% in both groups. There were no complications such as dural nerve injury and hemorrhage in both groups. One patient in the UBE group had incision infection, which was improved after symptomatic treatment. Conclusions:Both UBE and BBE can achieve satisfactory effectiveness in the treatment of two-level central LSS, and the clinical effectiveness is similar. BBE can improve the operation efficiency, shorten the surgical duration and reduce the fluoroscopy frequency, so it has more advantages in the treatment of two-level central LSS.

BackgroundAgomelatine， a novel antidepressant with dual efficacy in mood improvement and sleep regulation， has been widely utilized in clinical treatment of depressive disorders. The association between agomelatine and hepatic dysfunction has garnered increasing attention， yet there remains limited research on its long-term effect of liver function in real clinical scenarios. ObjectiveTo investigate the effect of different doses of agomelatine on liver function in patients with depressive disorders in real clinical scenarios， and to ascertain its safety profile and efficacy differences. MethodsA retrospective study was conducted， enrolling 200 patients diagnosed with depressive disorders according to the International Classification of Diseases， tenth edition （ICD-10）， who received agomelatine treatment at the Department of Psychiatry of Chaohu Hospital Affiliated to Anhui Medical University from January 2019 to December 2024. Longitudinal follow-up was performed based on real-world data. Patients were divided into a low-dose group （25 mg/d） （n=121） and a high-dose group （50 mg/d） （n=79） based on their agomelatine dosage. Follow-up assessments were conducted at baseline， the 2^nd， 6^th， 14^th， and 26^th weeks after treatment initiation. Liver function indicators， including alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and total bilirubin （TBIL）， were measured using a fully automated biochemical analyzer. Clinical symptoms were evaluated using the Hamilton Depression Scale-24 item （HAMD-24） and the Hamilton Anxiety Scale （HAMA）. ResultsNo statistically significant time effect， intergroup effect， or time-by-group interaction effect was observed for ALT， AST， or TBIL in either the low-dose or high-dose group （P>0.05）. The time effects for both HAMD-24 and HAMA scores in the two groups were statistically significant （F_time=430.573， 395.737， P<0.01）. From the end of the 2^nd week of treatment onward， the scores at each follow-up time point were significantly lower than those at the baseline period （P<0.01）. ConclusionBoth low-dose and high-dose agomelatine may have no significant effect on liver function in patients with depressive disorders， with no difference in liver function impairment was observed between dosage groups. Low-dose and high-dose agomelatine may be equally effective in alleviating depressive and anxiety symptoms in patients with depressive disorders. ［Funded by the Education Work Committee of the Anhui Provincial Committee for Outstanding Young Talents in Colleges and Universities （number， gxyqZD2022022）； the Key Project of Scientific Research Fund of Anhui Institute of Translational Medicine （number， 2023zhyx-B18）］

Background: Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making. Methods: This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes. Conclusion This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.

Background: This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules. Methods: This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer. Multiple deep learning algorithms based on convolutional neural networks (CNNs) —ResNet, DenseNet, and EfficientNet—were utilized, and Siamese neural networks facilitated multi-view analysis of paired transverse and longitudinal ultrasound images. Results: Among 1,048 analyzed thyroid nodules from 943 patients, 306 (29%) were identified as thyroid cancer. In a subgroup analysis of transverse and longitudinal images, longitudinal images showed superior prediction ability. Multi-view modeling, based on paired transverse and longitudinal images, significantly improved the model performance; with an accuracy of 0.82 (95% confidence intervals [CI], 0.80 to 0.86) with ResNet50, 0.83 (95% CI, 0.83 to 0.88) with DenseNet201, and 0.81 (95% CI, 0.79 to 0.84) with EfficientNetv2_ s. Training with high-resolution images obtained using the latest equipment tended to improve model performance in association with increased sensitivity. Conclusion CNN algorithms applied to ultrasound images demonstrated substantial accuracy in thyroid nodule classification, indicating their potential as valuable tools for diagnosing thyroid cancer. However, in real-world clinical settings, it is important to aware that model performance may vary depending on the quality of images acquired by different physicians and imaging devices.