The sixth edition of the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) was published in 2025. This review compared KMAP-DD 2025 with four major international clinical practice guidelines: Canadian Network for Mood and Anxiety Treatments Clinical Guidelines for the Management of Major Depressive Disorders, National Institute for Health and Care Excellence Depression Guideline, Royal Australian and New Zealand College of Psychiatrists Clinical Practice Guidelines for Mood Disorders, and British Association for Psychopharmacology Guideline. While KMAP-DD is based on expert consensus, and others on evidence-based methods, overall treatment strategies for depressive episodes were fairly consistent. Especially, KMAP-DD 2025 offers more structured recommendations in areas lacking strong evidence, such as premenstrual dysphoric disorder, perinatal depression, and depression with medical comorbidities. KMAP-DD 2025 also reflected Korean clinical practice patterns emphasizing rapid symptom relief and early use of combination strategies. Despite limitations as a consensus-based guideline, KMAP-DD 2025 complements evidence-based approaches and provides practical, situation-specific guidance for real-world clinical decision-making in Korea.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Objective:To explore the application value of deep learning reconstruction(DLR)of magnetic resonance(MR)on the image quality and lesion diagnostic efficacy of three-dimensional liver acceleration volume acquisition(3D-LAVA)sequences.Methods:A retrospective analysis was conducted on the image data of magnetic resonance imaging(MRI)of 45 patients who underwent MR contrast-enhanced examinations on abdomen at West China Hospital of Sichuan University from June 2023 to September 2023.For the venous phase of the LAVA sequence,conventional reconstruction and DLR were performed respectively to obtain conventional LAVA images and DLR-LAVA images at the venous phase.Two radiologists conducted subjective evaluation for the overall image quality,image clarity,artifacts,and diagnostic confidence of the two groups of images by using a 5-point scale.And then,the signal-to-noise ratio(SNR)of the images of liver,spleen,and lesion,as well as the contrast-to-noise ratio(CNR)of the liver,spleen to fat,muscle,and lesions were objectively evaluated.The two radiologists measured respectively the maximum and minimum diameters of the largest layer of the largest lesion,and compared the diagnostic efficacy of conventional LAVA and DLR-LAVA for lesions.The diagnostic efficacies of conventional LAVA and DLR-LAVA were respectively assessed by using the receiver operating characteristic(ROC)curve.Results:The consistency of the two radiologists'subjective evaluations for the image quality of the conventional LAVA and DLR-LAVA sequences was moderate and above moderate,with Kappa values ranging from 0.553 to 0.902,and P<0.001.Both radiologists found that the subjective image quality,image clarity,artifacts,and diagnostic confidence of the DLR-LAVA sequence were higher than those of the conventional LAVA sequence(Z Physician 1=4.24,5.49,3.50,4.47,Z Physician 2=4.15,3.12,3.77,4.26,P<0.05).The SNR values of the liver,spleen,and lesions in the DLR-LAVA images were all higher than those in the conventional LAVA sequence(t=-20.45,-18.58,-5.51,P<0.001).The CNR values between liver and fat,between liver and muscle,between liver and spleen,between spleen and fat,between spleen and muscle,and between lesion and liver in DLR-LAVA sequence were higher than those in the conventional LAVA sequence(t=-20.49,-19.94,-18.05,-16.74,P<0.001).There were no statistically significant differences in the measured values of the maximum and minimum diameters of the largest lesions between the conventional LAVA and DLR-LAVA sequences(P>0.05).The area under curve(AUC)values of physician 1 who used respectively the conventional LAVA and DLR-LAVA sequences were 0.897 and 0.916 in diagnosing lesions,while those of physician 2 were respectively 0.851 and 0.890.Conclusion:DLR can improve the image quality of the LAVA sequence for liver,and has a higher diagnostic value for lesions.

Objective:To explore the therapeutic effect of Bupiqiangli compound on experimental myasthenia gravis with sub-clinical hypothyroidism in rats and the influence of hypothalamus-pituitary-thyroid-thymus(HPTT)axis.Methods:SPF Lewis rats were randomly divided into normal group,model group,Bupiqiangli compound low-dose,medium-dose and high-dose groups.Model rats were immunized with AchR-α subunit 97-116 peptide sequence to construct an experimental myasthenia gravis model,and then methimazole was used to prepare an experimental myasthenia gravis with subclinical hypothyroidism model.Bupiqiangli compound low-dose,medium-dose and high-dose groups were given 4.57 g/kg,7.12 g/kg and 9.49 g/kg of Bupiqiangli compound by gavage,nor-mal group and model group were given an equal volume of normal saline by gavage,once a day,for 4 weeks.After the last gavage,Lennon scores of rats in each group were recorded;HE staining was used to detect pathological changes of thymus and thyroid;ELISA was used to detect expression levels of acetylcholine receptor antibody(AchRab),thyroid stimulating hormone(TSH),thyrotropin releasing hormone(TRH),free thyroxine(FT4)and thyroxine(T4)in serum;mRNA level of TRH in hypothalamus and TSH in pituitary tissue were detected by qPCR;Western blot detected changes of protein expressions of Cleaved Caspase3,Bcl2 associated X protein(Bax)and B-cell lymphoma-2(Bcl2)in thymus.Results:Compared with normal group,model group showed obvious symp-toms of muscle weakness,Lennon score increased significantly(P<0.05),obvious pathological changes in thymus and thyroid tissues,while no significant changes in expressions of FT4 and T4 in serum(P>0.05),expressions of AchRab,TSH and TRH in serum were significantly increased(P<0.05),expressions of TRH in hypothalamus and TSH in pituitary were significantly increased(P<0.05),protein expressions of Cleaved Caspase3 and Bax in thymus were significantly decreased(P<0.05),while expression of Bcl2 protein in thymus increased significantly(P<0.05).Compared with model group,myasthenia symptoms of compound high-dose group were im-proved,Lennon score was significantly decreased(P<0.05),pathological changes of thymus and thyroid tissues were improved,ex-pressions of FT4 and T4 in serum had no significant changes(P>0.05),expressions of AchRab,TSH and TRH in serum were signifi-cantly decreased(P<0.05),expressions of TRH in hypothalamus and TSH in pituitary were significantly decreased(P<0.05),expres-sions of Cleaved Caspase3 and Bax in thymus were significantly increased(P<0.05),while expression of Bcl2 in thymus was signifi-cantly decreased(P<0.05).Conclusion:Bupiqiang compound can improve clinical symptoms of experimental myasthenia gravis with subclinical hypothyroidism in rats,and its mechanism may be related to the regulation of HPTT axis.

Microplastics are widely present in various environments such as water bodies,land,and atmosphere,which pose threats to the ecological environment and human health through transmission and accumulation in the food chain.The existing detection techniques for microplastics face challenges such as complex preparation procedure of samples,low efficiency in processing large batches of samples,and difficulties in handling complex samples.Therefore,there is an urgent need for rapid and efficient detection techniques suitable for complex microplastics samples in the field of environmental monitoring.Raman spectroscopy,known for its advantages such as rapidity,accuracy,high sensitivity,non-destructiveness,and non-contact,demonstrates great application potential in detection of microplastics.Deep learning,an artificial intelligence method known for its large-scale data processing,nonlinear modeling and automatic feature extraction capabilities,is receiving increasing attention in the analysis of Raman spectroscopy signals.The application of deep learning-based Raman spectroscopy has significantly improved performance indicators such as detection efficiency and accuracy.This article introduced the existing Raman enhancement techniques,summarized the deep learning methods applied in Raman spectroscopy signal analysis,reviewed the recent research and application progress of deep learning-based Raman spectroscopy in detection of microplastics,and finally discussed the challenges and future prospects of deep learning-based Raman spectroscopy in detection of microplastics.

The choice of biopsy method is critical in diagnosing prostate cancer (PCa). This retrospective cohort study compared systematic biopsy (SB) or cognitive fusion-targeted biopsy combined with SB (CB) in detecting PCa and clinically significant prostate cancer (csPCa). Data from 2572 men who underwent either SB or CB in Fudan University Shanghai Cancer Center (Shanghai, China) between January 2019 and December 2023 were analyzed. Propensity score matching (PSM) was used to balance baseline characteristics, and detection rates were compared before and after PSM. Subgroup analyses based on prostate-specific antigen (PSA) levels and Prostate Imaging-Reporting and Data System (PI-RADS) scores were performed. Primary and secondary outcomes were the detection rates of PCa and csPCa, respectively. Of 2572 men, 1778 were included in the PSM analysis. Before PSM, CB had higher detection rates for both PCa (62.9% vs 52.4%, odds ratio [OR]: 1.54, P < 0.001) and csPCa (54.9% vs 43.3%, OR: 1.60, P < 0.001) compared to SB. After PSM, CB remained superior in detecting PCa (63.1% vs 47.9%, OR: 1.86, P < 0.001) and csPCa (55.0% vs 38.2%, OR: 1.98, P < 0.001). In patients with PSA 4-12 ng ml -1 (>4 ng ml -1 and ≤12 ng ml -1 , which is also applicable to the following text), CB detected more PCa (59.8% vs 40.7%, OR: 2.17, P < 0.001) and csPCa (48.1% vs 27.7%, OR: 2.42, P < 0.001). CB also showed superior csPCa detection in those with PI-RADS 3 lesions (32.1% vs 18.0%, OR: 2.15, P = 0.038). Overall, CB significantly improves PCa and csPCa detection, especially in patients with PSA 4-12 ng ml -1 or PI-RADS 3 lesions.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Propensity Score ; Retrospective Studies ; Middle Aged ; Aged ; Image-Guided Biopsy/methods* ; Prostate-Specific Antigen/blood* ; Prostate/diagnostic imaging*

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To investigate the effects of 177Lu-prostate specific membrane antigen (PSMA)-I&T combined with poly (adenosine diphosphate-ribose) polymerase (PARP) inhibitor (PARPi) fluzoparib on the proliferation and migration of prostate cancer cells and the tumor inhibitory effects. Methods:177Lu-PSMA-I&T was synthesized. Cytotoxicity assay, colony formation assay, 5-ethynyl-2′-deoxyuridine (EdU) cell proliferation assay, Transwell cell migration assay, and terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling (TUNEL) assay, flow cytometry were performed to detect apoptosis and cell cycles. 22RV1 tumor-bearing mice models ( n=16) were established, and were randomly divided into 4 groups: control group (no treatment; n=4), fluzoparib monotherapy group (6mg/kg; n=4), 177Lu-PSMA-I&T monotherapy group (14.8MBq; n=4) and combination group (14.8MBq 177Lu-PSMA-I&T+ 6mg/kg fluzoparib; n=4). All mice were treated for 14 d. Tumor volume and body mass changes of tumor-bearing mice were observed and recorded. After the treatment, 18F-FDG PET/CT was performed to evaluate the tumor′s uptake of 18F-FDG. Effects of 177Lu-PSMA-I&T combined with fluzoparib on cell and tumor-bearing mice were observed. One-way analysis of variance and the least significant difference t test were used to analyze the data. Results:At half maximal inhibitory concentrations (IC 50) of 177Lu-PSMA-I&T (13.06MBq/ml) and fluzoparib (72.13μmol/L), compared to the fluzoparib monotherapy group and the 177Lu-PSMA-I&T monotherapy group, the combination treatment significantly enhanced the anti-tumor effect on 22RV1 cells, inhibited the DNA synthesis rate and colony-forming ability of 22RV1 cells, reduced cell migration rate, increased the percentage of DNA damage, resulted in a higher proportion of cells arrested in the G2/M phase and increased the apoptosis rate ( F values: 9.77-162.20, t values: 2.98-21.60, all P<0.05). Compared to the fluzoparib monotherapy group and the 177Lu-PSMA-I&T monotherapy group, the combination treatment resulted in a significant reduction in relative tumor volume (RTV%) 14 d post-administration and markedly decreased 18F-FDG uptake ( F values: 25.28 and 67.42, t values: 4.64-8.61, P values: 0.001-0.009). Conclusion:The combination of 177Lu-PSMA-I&T and fluzoparib can inhibit prostate cancer cell proliferation and migration, suppress tumor growth and metabolism, and demonstrates synergistic effects more effectively.