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.

Cardiotoxicity induced by antineoplastic agents is an important factor affecting the prognosis of cancer patients. This article systematically summarizes the clinical manifestations of cardiotoxicity caused by chemotherapeutic drugs, molecular targeted cancer therapies, and immunotherapeutic drugs, and identifies the core injury mechanisms, including cardiomyocyte apoptosis, oxidative stress, and mitochondrial dysfunction. In Traditional Chinese Medicine (TCM) theory, anticancer drug-induced cardiotoxicity falls under the category of “heat toxins” characterized by dual deficiency of qi and blood, upward flaming of heart heat, stagnation of the heart vessels, and meridian obstruction induced by phlegm-dampness. Therefore, by reviewing the preventive and therapeutic effects and the underlying mechanisms of tonic medicines, interior heat-clearing medicines, blood-circulating and stasis-resolving medicines, phlegm-transforming, cough-suppressing and panting-relieving medicines, and interior-warming medicines, this paper concludes that TCM prevention and treatment of this condition adheres to the formulation principle of “reinforcing healthy qi, removing toxins, and resolving blood stasis”. Its mechanisms of action—including antioxidation effects, regulation of autophagic balance, antagonism of inflammatory responses, and improvement of microcirculation—are highly consistent with modern medical treatment strategies (e.g., dexrazoxane for inhibiting iron-dependent oxidative stress, statins for anti-inflammatory effects). This study provides theoretical support and practical guidance for the collaborative and precise prevention and treatment of anticancer drug-induced cardiotoxicity through the integration of traditional Chinese and Western medicine.

Voice biomarkers， as an emerging smart medical technology， are now being used in applications such as assisting in the diagnosis and treatment of diseases， facilitating accurate and personalized medical services for patients. However， it also raises many ethical issues， including informed consent， privacy protection， accuracy and reliability， data security， legal risks， and other issues. This paper systematically sorted out the ethical issues in the applications of voice biomarkers in the medical field， summarized these issues， such as informed consent， privacy protection， accuracy and reliability， data security， and legal risks， as well as explored the corresponding coping strategies. These countermeasures encompassed utilizing new media platforms to raise public awareness of voice biomarkers， strengthening supervision and management to promote the privacy protection of voice biomarkers， reducing algorithm biases to promote the general benefits of voice biomarkers to the public， establishing multidisciplinary teams to protect the data security of voice biomarkers， and encouraging medical professionals and researchers to participate in policy research， with a view to providing references for promoting and regulating the applications of voice biomarkers in the medical field.

Dopamine, as a catecholamine neurotransmitter widely distributed in the central nervous system, is involved in physiological functions such as motivation, arousal, reinforcement, and movement through various dopamine signaling pathways. The hippocampus receives dopaminergic neuron projections from regions such as the ventral tegmental area, locus coeruleus, and substantia nigra. Through D1-like and D2-like receptors, dopamine exerts significant regulatory effects such as spatial navigation, episodic memory, fear, anxiety, and reward. This review mainly summarizes the research progress on the functions of dopamine in the hippocampus from aspects including the sources of dopamine, receptor distribution and function, and the association of hippocampal dopamine system dysregulation with neurodegenerative diseases. The aim is to provide insights into the involvement of the dopamine system in hippocampal functions and the diagnosis and treatment of related diseases.
Hippocampus/physiology* ; Dopamine/physiology* ; Humans ; Animals ; Receptors, Dopamine D2/physiology* ; Memory/physiology* ; Signal Transduction/physiology* ; Neurodegenerative Diseases/physiopathology*

OBJECTIVE: Automatic planning is a commonly used alternative to manual planning. This study evaluated the clinical performance of automatic plans available in commercial treatment planning systems for nasopharyngeal carcinoma (NPC) treatment by comparing automatic planning with manual planning. METHODS: A total of 14 patients with nasopharyngeal carcinoma were enrolled in the study. For each patient, three different sets of clinical goals were used to generate three hybrid automatic plans based on 3D dose distribution prediction and three automatic plans based on script, respectively, which were compared with the manual plans used in clinic. RESULTS: The dose coverage performance of the automatic planning based on 3D dose distribution prediction on the planning target volume (PTV) was comparable to that of the manual planning. Automatic planning based on 3D dose prediction achieved the level of manual planning in most organs at risk. However, automatic planning based on scripts did not perform well in the prediction of some organs at risk, especially the parotid gland. CONCLUSION The hybrid automatic plan based on 3D dose distribution prediction can reach the level of manual planning and have good robustness with the change of clinical objective.
Humans ; Nasopharyngeal Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods* ; Nasopharyngeal Carcinoma ; Male ; Female ; Middle Aged ; Adult ; Carcinoma ; Radiotherapy Dosage

Dry eye disease (DED) is a prevalent and intractable ocular disease induced by a variety of causes. Elevated sphingomyelin (SM) levels and pro-inflammatory cytokines were detected on the ocular surface of DED patients, particularly in the meibomian glands. Sphingomyelin synthase 2 (SMS2), one of the proteins involved in SM synthesis, would light a novel way of developing a DED therapy strategy. Herein, we report the design and optimization of a series of novel thiophene carboxamide derivatives to afford 14l with an improved highly potent inhibitory activity on SM synthesis (IC_{50, SMS2} = 28 nmol/L). Moreover, 14l exhibited a notable protective effect of anti-inflammation and anti-apoptosis on human corneal epithelial cells (HCEC) under TNF-α-hyperosmotic stress conditions in vitro, with an acceptable ocular specific distribution (corneas and meibomian glands) and pharmacokinetics (PK) profiles (t _{1/2, cornea} = 1.11 h; t _{1/2, meibomian glands} = 4.32 h) in rats. Furthermore, 14l alleviated the dry eye symptoms including corneal fluorescein staining scores and tear secretion in a dose-dependent manner in mice. Mechanically, 14l reduced the mRNA expression of Tnf-α, Il-1β and Mmp-9 in corneas, as well as the proportion of very long chain SM in meibomian glands. Our findings provide a new strategy for DED therapy based on selective SMS2 inhibitors.

OBJECTIVES: To study the effect of CDC20 knockdown on proliferation, migration and invasion of cervical cancer cells and its underlying mechanism. METHODS: CDC20 expression in cervical cancer tissues was analyzed using the TCGA database, and the protein expressions of CDC20 and β-Catenin in clinical specimens of cervical cancer and adjacent tissues were detected using immunohistochemistry. A dual target sgRNA2&7 sequence for CDC20 gene was designed for CDC20 gene knockdown in cervical cancer C33A cells using CRISPR/Cas9 technology, and CDC20 mRNA and protein expression levels in the transfected cells were detected using qRT-PCR and Western blotting. The changes in proliferation, cell cycle, apoptosis, migration and invasiveness of the transfected cells were evaluated using colony-forming assay, fluorescence activated cell sorting (FACS) and Transwell assay. In the animal experiment, naïve C33A cells and the cells with CDC20 knockdown were injected subcutaneously into the left and right axillae of nude mice (n=5) to observe tumor growth. The expressions of CDC20 and β-Catenin proteins in transfected cells and the xenograft were analyzed using Western blotting, and their interaction was confirmed by co-immunoprecipitation (CoIP) and immunofluorescence co-localization assays. RESULTS: Cervical cancer tissues expressed significantly higher CDC20 and β‑Catenin levels than the adjacent tissues. C33A cells with CDC20 knockdown showed reduced proliferation, increased apoptosis, and lowered migration and invasion abilities. CDC20 knockdown significantly suppressed the growth of C33A cell xenograft in nude mice, and the tumor-bearing mice did not exhibit obvious body mass changes. CDC20 and β-Catenin levels were both significantly lowered in C33A cells with CDC20 knockdown. Co-immunoprecipitation and co-localization assays confirmed the interaction between CDC20 and β‑Catenin. CONCLUSIONS CDC20 is highly expressed in cervical cancer tissues, and CDC20 knockdown can suppress proliferation, invasion, and metastasis while enhancing apoptosis of C33A cells, which is closely related with the regulation of the Wnt/β-Catenin signaling pathway.
Humans ; Uterine Cervical Neoplasms/metabolism* ; Female ; Cdc20 Proteins/genetics* ; Cell Proliferation ; Animals ; Cell Movement ; Neoplasm Invasiveness ; Apoptosis ; Mice, Nude ; beta Catenin/metabolism* ; CRISPR-Cas Systems ; Mice ; Cell Line, Tumor ; Gene Knockout Techniques ; Neoplasm Metastasis

Objective To observe the value of machine learning model based on MR T2WI and diffusion weighted imaging(DWI)radiomics for predicting perineural invasion(PNI)of rectal cancer.Methods Totally 343 patients with rectal cancer were retrospectively collected and divided into training set(n=275,92 PNI[+]and 183 PNI[-])and test set(n=68,23 PNI[+]and 45 PNI[-])at the ratio of 8∶2.Univariate and multivariate logistic regression(LR)were used to analyze clinical data and screen the independent predictors of PNI in rectal cancer,so as to construct a clinical model.The best radiomics features were extracted and screened based on preoperative T2WI and DWI.Then extremely randomized trees,multilayer perceptron,light gradient boosting machine,extreme gradient boosting,support vector machine(SVM),LR,K-nearest neighbor and random forest algorithms were used to construct ML models,respectively,and the optimal ML model was selected to establish a clinical-radiomics ML model combined with clinical relevant independent predictors.The predictive efficacy and clinical value of each model were evaluated.Results Patients' age was the independent predictor of PNI of rectal cancer(OR=0.988,P＜0.001),and the area under the curve(AUC)of the clinical model constructed based on it was 0.435 and 0.458 in training and test sets,respectively.SVM model was the best one among 8 ML models,with AUC in training and test set of 0.887 and 0.854,respectively.The AUC of clinical-radiomics ML model in training and test sets was 0.887 and 0.860,respectively,not different with AUC of SVM model(both P＞0.05).Decision curve analysis showed that when the threshold value was 0.20-0.45,clinical net benefit of SVM model was higher than that of other models.Conclusion SVM model based on T2WI and DWI radiomics could effectively predict PNI of rectal cancer.

Abstract Cardiovascular disease is one of the leading causes of death worldwide, and myocardial remodeling is at the core of the development and progression of most cardiovascular diseases. Purinergic ligand-gated ion channel 7 receptor(P2X7R) is a member of the purinergic receptor family, which is expressed in immune cells, cardiac smooth muscle cells, and endothelial cells, and plays an important role in pathological processes related to immune system regulation, neuroprotection, and inflammatory responses. Activation of P2X7R plays an important role in myocardial remodeling, including myocardial fibrosis, myocardial hypertrophy, and heart failure. Therefore, this article reviews the structural and functional properties of P2X7R and its mechanism of action in myocardial remodeling.

Objective To perform visual analysis for the literatures related to the application of new technologies in academic journal publishing,and to explore the research hotspots and development trends of new technologies applied to academic journal publishing in China.Methods We searched literatures in CNKI with the search formula SU%='Academic Journal Publishing'*('New Technology'+'5G'+'Big Data'+'Artificial Intelligence'+'Blockchain'+'Mobile Terminal'+'Cloud Computing'+'Internet'+'Database'+'VR/AR'+'Multimedia'),and using CiteSpace software,we analyzed the research hotspots and development trends of new technologies applied to academic journal publishing.Results A total of 436 articles were included in this study.The journal with the largest number of articles was China Science and Technology Journal Research.There were 34 core authors in the literatures included,and the collaboration between authors was relatively loose.The cooperation and communication between research institutions were not sufficient,and the cross-institutional cooperation needed to be strengthened.The keywords related to dimensional analysis,such as co-occurrence,clustering,and highlighting had significant characteristics.The research mainly focused on"the integrated development of academic journals and digital publishing","the innovation and development of the publishing under the background of internet+","media integration and communication strategy of academic journals","research on the application of artificial intelligence in the publishing",and"research on the communication effect of scientific and technical journals on cnki and other platforms".Conclusion The research of new technologies applied to academic journal publishing is still at a primary stage.The research mainly focuses on digital publishing,new media integration,talent training,and journal publishing reform,aiming to explore the way of talent training,academic dissemination strategy,innovative development path,and integrative development direction of academic journals in the digital era.