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.

AIM:To investigate the effect of ranibizumab on blood flow density in different regions of the macula in patients with macular edema(ME)secondary to ischemic and non-ischemic branch retinal vein occlusion(BRVO).METHODS:This retrospective study enrolled patients with BRVO-ME who were treated at the hospital from September 2019 to March 2021. Patients were divided into ischemic and non-ischemic groups based on fundus findings. All patients received intravitreal injections of ranibizumab once monthly for three consecutive months. Best corrected visual acuity(BCVA), central macular thickness(CMT), and macular blood flow density were measured before treatment and at 1 d, 1 wk, 1 and 3 mo after treatment.RESULTS: A total of 46 patients(46 eyes)with BRVO-ME were included, comprising 21 eyes in the ischemic group(7 males, 14 females; mean age 55.81±10.36 y)and 25 eyes in the non-ischemic group(11 males, 14 females; mean age 54.84±9.81 y). At 3 mo after treatment, BCVA(LogMAR)in the non-ischemic group was superior to that in the ischemic group(0.19±0.19 vs 0.38±0.27, P=0.009). Analysis of CMT changes showed that the reduction amplitude in the ischemic group was significantly greater than that in the non-ischemic group at both 1 and 3 mo after treatment(all P<0.05). Blood flow densities in the whole, parafoveal, and perifoveal regions of the superficial capillary plexus(SCP), as well as in the whole and perifoveal regions of the deep capillary plexus(DCP), were significantly lower in ischemic patients than in non-ischemic patients, while blood flow density in the foveal region of DCP was significantly higher in the ischemic group(all P<0.05).CONCLUSION: Ranibizumab is effective for both types of patients. Non-ischemic patients have a better long-term visual prognosis, and the advantage may be related to better blood flow perfusion patterns in specific areas 3 mo after treatment. Monitoring changes in blood flow density in these areas can help provide personalized treatment for patients.

For a long time， simple asymptomatic renal hematuria has not been taken seriously. Current studies have confirmed that renal hematuria is a risk factor for the progression of renal function， but there is no effective treatment available. Because asymptomatic renal hematuria is highly concealed and lacks typical symptoms， individualized syndrome differentiation in traditional Chinese medicine （TCM） is difficult， making it a challenge in clinical diagnosis and treatment. Although TCM has a long history and solid theoretical basis in the treatment of hematuria， it urgently needs to break through the bottleneck of traditional syndrome differentiation. Based on classical TCM theories， research achievements in modern constitution studies， and relevant clinical and pathological evidence， this article focuses on the decisive influence of age on constitution distribution and its regular association with the evolution of core syndromes， and constructs a three-dimensional diagnostic and therapeutic system of "age-constitution-syndrome". It reveals that the syndrome manifestations of asymptomatic renal hematuria are profoundly shaped by constitution， and that constitution shows a group distribution pattern with age-children often present with deficiency of lung and spleen Qi combined with wind-heat， young and middle-aged individuals often present with deficiency of liver and kidney Yin combined with deficient fire and stasis heat， and elderly individuals often present with deficiency of spleen and kidney combined with cold-dampness and stasis obstruction. By analyzing the common pathogenic mechanisms， outcome characteristics， and internal mechanisms among different age groups， this study provides a basic syndrome framework and core intervention strategies for specific populations in clinical practice， offering a new evidence-based approach to addressing the dilemma of “no identifiable syndrome”.

OBJECTIVE To analyze the selection and rationales of comparators for pharmaceutical enterprises in their medical insurance access application， so as to provide a reference for promoting communication and consensus between enterprises and medical insurance authorities in this process. METHODS The application materials for drugs outside the catalogue that passed formal review published by the National Healthcare Security Administration from 2021 to 2025 were extracted， and then content analysis was used to systematically sort out relevant information of the declared drugs and comparators； the specific situations and rationales of pharmaceutical enterprises’ selection of comparators were analyzed. RESULTS A total of 1 341 declared drug documents were collected. Data analysis showed that 1 035 （77.18%） were submitted with positive comparators and 306 （22.82%） used blank comparators； 58 drugs （4.33%） took combination therapy as the reference， and 5 drugs （0.37%） referred to non-pharmacological （or non-single pharmacological） treatment regimens. Among competitive drugs declared by multiple enterprises， 50.00% of the enterprises submitted different comparators. A total of 4 basic conditions and 39 additional conditions were extracted as the rationales for selecting positive comparators. For blank comparators， 12 drug-related factors， 2 administrative factors， and 1 other factor were identified. More than 10% of the drugs did not state the rationale for comparator selection， and over 44% of drugs using blank comparators provided only one justification. CONCLUSIONS Pharmaceutical enterprises mainly select comparators based on their own interests in the medical insurance access application， and there are deficiencies in the adequacy and standardization of their selection basis and reasoning. It is recommended that enterprises follow the principled requirements of medical insurance authorities， and fully and normatively explain the reasons for selecting comparators in combination with the characteristics of their own products. Meanwhile， it is advisable to change the current open-ended statement form of selection reasons into a closed-ended answering mode， so as to highlight the priority of selection， standardize the declaration behavior of enterprises， and reduce communication divergences between the two parties.

ObjectiveTo develop an assessment tool for apraxia of speech (AOS) of Chinese Putonghua speakers and test its reliability and validity. MethodsThe Chinese Apraxia of Speech Assessment and Diagnostic Tool (CAADT) was developed based on the Apraxia of Speech Rating Scale 3.5, combined with the linguistic characteristics of Chinese and clinical experience. The tool consistsed of eleven items across three sections: articulation, prosody and alternating motion rates. Six experts evaluated the content validity. From November, 2024 to May, 2025, 51 patients with post-stroke AOS (experimental group) and ten patients with post-stroke aphasia without AOS (control group) were recruited from Anhui Wannan Rehabilitation Hospital (the Fifth People's Hospital of Wuhu), and tested with CAADT. Reliability was assessed using Cronbach's α coefficient, Kendall's coefficient of concordance W and Pearson correlation coefficient. Validity was evaluated using the content validity index (CVI) and Spearman correlation coefficient. Discriminative effect was analyzed using the receiver operating characteristic (ROC) curve. ResultsThe Cronbach's α coefficients for the articulation and prosody sections and the total scale were all > 0.9, while it was 0.454 for the alternating motion rates. Inter-rater reliability was good (W ≥ 0.598, P < 0.001). Test-retest reliability showed high positive correlations for the three sections and the total score between the two assessments (r ≥ 0.84, P < 0.001). The scale-level CVI was 0.95, and the item-level CVI ≥ 0.83. The Spearman correlation coefficients among the sections ranged from 0.30 to 0.70. ROC analysis revealed an area under the curve of 0.953, with a cut-off value of 11, yielding a sensitivity of 0.92 and a specificity of 0.90. ConclusionCAADT demonstrates good reliability, validity and discriminative effect, which can be used for clinical assessment and auxiliary diagnosis of Chinese Putonghua speaking patients with post-stroke AOS.

ObjectiveTo investigate the therapeutic efficacy of Qizhi Tongluo granules on proteinuria in membranous nephropathy （MN） and its potential protective effects and underlying mechanism against endoplasmic reticulum stress. MethodsAfter 70 Sprague-Dawley （SD） rats were adaptively fed for one week， the MN rat model was established by injecting cationic bovine serum albumin （C-BSA） into the tail vein. Rats were divided into the normal group， model group， low-dose Qizhi Tongluo granules group （2.43 g·kg^-1）， medium-dose group （4.86 g·kg^-1）， high-dose group （9.72 g·kg^-1）， and benazepril group （0.01 g·kg^-1）， with 10 rats in each group. Treatment was administered for four weeks. The 24-hour urinary total protein （UTP） content， as well as the levels of reactive oxygen species （ROS）， malondialdehyde （MDA）， and glutathione peroxidase （GPX） in renal tissues， were measured. Renal pathological changes were assessed using immunoglobulin G （IgG） staining， periodic acid-silver methenamine （PASM） staining， and transmission electron microscopy （TEM）. The localization and expression levels of glucose-regulated protein 78 （GRP78）， phosphorylated inositol-requiring enzyme 1α （p-IRE1α）， phosphorylated protein kinase R-like endoplasmic reticulum kinase （p-PERK）， activating transcription factor 4 （ATF4）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and 2'-5' oligoadenylate synthetase-like protein 1 （OASL1） in rat kidneys were detected by immunohistochemistry （IHC）. The mRNA and protein expression levels of Nrf2， thioredoxin 1 （Trx1）， thioredoxin-interacting protein （TXNIP）， and OASL1 in rat kidneys were measured using real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot analysis. ResultsCompared with the normal group， UTP levels were significantly increased in the model rats （P<0.05）， with obvious renal pathological damage. GPX content levels were significantly decreased in renal tissue （P<0.05）， while ROS and MDA content levels were significantly increased （P<0.05）. The expression of GRP78， p-IRE1α， p-PERK， and ATF4 proteins was significantly increased in the kidneys （P<0.05）， while the mRNA and protein expression levels of Trx1 and Nrf2 were significantly decreased （P<0.05）. The mRNA and protein expression levels of TXNIP and OASL1 were significantly increased （P<0.05）. Compared with the model group， the UTP levels of rats in the Qizhi Tongluo granules groups and the benazepril group decreased to varying degrees （P<0.05）， and renal pathological damage was significantly alleviated. The GPX content in renal tissue was significantly increased （P<0.05）， while the ROS and MDA levels were significantly decreased （P<0.05）. The expression of GRP78， p-IRE1α， p-PERK， and ATF4 proteins in the kidney was significantly decreased （P<0.05）. The mRNA and protein expression levels of Trx1 and Nrf2 were significantly increased （P<0.05）， while the mRNA and protein expression levels of TXNIP and OASL1 were significantly decreased （P<0.05）. ConclusionQizhi Tongluo granules alleviates proteinuria in MN rats by modulating the Nrf2/OASL1 signaling pathway in renal tissues to reduce endoplasmic reticulum stress， which represents its underlying mechanism.

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.

ObjectiveAs a second messenger in intracellular signal transduction, Ca²⁺ plays an important role in cell migration. Previous studies have demonstrated that extracellular Ca²⁺ influx can promote electric field-guided cell migration, known as electrotaxis. However, the effect of intracellular Ca²⁺ flow on electrotaxis is unclear. Therefore, in this study, we investigate the effect of Ca²⁺ flux on the electrotaxis of Dictyostelium discoideum. MethodsThe electrotaxis of Dictyostelium discoideum was investigated by applying a direct current (DC) electric field. Cell migration was recorded using a real-time imaging system. Calcium channel inhibitors, the extracellular Ca²⁺ chelator EGTA, Ca²⁺-free DB buffer, and caffeine were applied to investigate the impact of intra- and extracellular Ca²⁺ flow on electrotaxis. The involvement of G proteins and ERK2 in directed cell migration mediated by endoplasmic reticulum Ca²⁺ release was explored using mutants. ResultsDictyostelium discoideum migrated toward the cathode in the electric field in a voltage-dependent manner. The intracellular Ca²⁺ concentration of the cells was significantly increased in the electric field. Inhibition of both extracellular Ca²⁺ influx and intracellular Ca²⁺ release suppressed cell electrotaxis migration. Inhibition of endoplasmic reticulum Ca²⁺ release induced by caffeine significantly impaired the electrotaxis of Dictyostelium discoideum. Deletion of Gα2, Gβ, Gγ, and Erk2 notably reduced the electrotaxis of the cells. Enhancing Ca²⁺ release mediated by caffeine restored the electrotaxis of the Gα2^-, Gβ ^-, and Erk2^- mutant cells partially or completely, but did not restore electrotaxis in the Gγ^- mutant cells. ConclusionCa²⁺ release from the endoplasmic reticulum regulates electrotaxis migration in Dictyostelium discoideum and is involved in the regulation of cell electrotaxis by G proteins and ERK2.

Objective To explore the clinical characteristics of immune-related adverse events (irAEs) involving the pituitary gland in malignant tumor patients following the administration of immune checkpoint inhibitors (ICIs), and to compare characteristics of pituitary irAEs with primary hypophysitis. Methods A total of 753 malignant tumor patients who were hospitalized at Sir Run Run Shaw Hospital School of Medicine, Zhejiang University from January 2019 to November 2022 and received ICIs treatment were retrospectively included. The incidence of endocrine irAEs were statistically analyzed. The clinical characteristics of patients with pituitary irAEs were analyzed and compared with those of patients with primary hypophysitis (n＝18). Results Among the 753 patients treated with ICIs, the majority (742, 98.5%) received PD-1/PD-L1 inhibitors. The incidence of endocrine irAEs was 32.0% (241/753), with primary thyroid dysfunction being most common (212, 28.2%), followed by pituitary dysfunction (35, 4.6%). The median time to onset of pituitary irAEs was 5.8 months, with the majority presenting as secondary hypoadrenocorticism (33, 94.3%). Surgery was a protective factor for preventing pituitary irAEs (P＝0.002), whereas higher body mass index (BMI) and dual ICIs combination therapy were recognized as risk factors (P＜0.05). Compared to patients with primary hypophysitis, patients with pituitary irAEs had a higher proportion of males, lower BMI, lower rates of visual field defects and diabetes insipidus, higher rate of secondary hypoadrenocorticism and lower positive rate on MRI (P＜0.05). Conclusions Malignant tumor patients treated with ICIs exhibit a relatively high incidence of endocrine irAEs, with thyroid involvement being most common, followed by the pituitary gland. Pituitary irAEs primarily manifest as secondary hypoadrenocorticism, lacking specific clinical symptoms and exhibiting a low positive rate on MRI. These factors contribute to a high risk of misdiagnosis or missed diagnosis, necessitating heightened clinical vigilance.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.