Severe acute pancreatitis （SAP） is closely related to dysfunction of the spleen-stomach ascent and descent. Due to the influence of modern lifestyle and dietary factors， Qi deficiency in the spleen and stomach has become the pathological basis of SAP. Its pathogenesis is characterized by dampness， heat， pathogenic factors， stasis， stagnation， obstruction， Fu-organs Qi obstruction， pathogenic excess， and healthy Qi deficiency. At different stages of the disease course of SAP， there is a focus on both pathogenic excess and healthy Qi deficiency. It is specifically manifested as Fu-organs stagnation and heat accumulation， as well as pathogenic excess and healthy Qi deficiency， during the systemic inflammatory response phase， intermingling of blood stasis and pathogenic factors， as well as Qi deficiency and blood stasis， during the infection period， and weakness of the spleen and stomach， as well as healthy Qi deficiency and lingering pathogenic factors， during the residual infection period. Based on the theory that "the spleen and stomach are the acquired foundation"， a staged treatment method centered on the core principle of "strengthening healthy Qi to eliminate pathogenic factors" was developed. The staged treatment method included "clearing the Fu-organs to expel turbidity， replenishing Qi to harmonize the stomach， activating blood circulation to expel pathogenic factors， replenishing Qi to relieve pain， promoting digestion to stimulate appetite， and replenishing Qi to invigorate the spleen". In clinical practice， Hewei Tongxie mixture， Yikang mixture， and Shiwei Jianpi Xiaoshi powder were selected for staged treatment of SAP. This article systematically summarized the theoretical basis of traditional Chinese medicine， Western medicine foundation， modern pharmacological mechanisms， and clinical application experience of the staged treatment of SAP with "strengthening the healthy Qi to eliminate pathogenic factors"， providing new ideas for the treatment of SAP with traditional Chinese medicine.

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.

Objective To assess the clinical feasibility of a self-developed augmented reality(AR)system in surgeries for cerebral arteriovenous malformation(AVM),dural arteriovenous fistula(DAVF),moyamoya,and internal carotid artery stenosis.This system integrates preoperative vascular imaging(CTA,MRA,DSA)with intraoperative real-time visualization through high-precision patient-image registration and virtual-real integration technology.Methods A retrospective analysis was conducted on 6 patients(1 cerebral AVM,1 DAVF,3 moyamoya and 1 internal carotid artery stenosis)collected between March 2023 and April 2024.AR with three-dimensional reconstruction was used for preoperative precise localization and intraoperative navigation guidance.Clinical feasibility was evaluated and analyzed using an intraoperative self-controlled method.Results All 6 patients with diverse etiologies successfully underwent preoperative precise localization and intraoperative navigation guidance under AR three-dimensional reconstruction modeling.This technology achieved visualization of intracranial arteriovenous structures and precise lesion locations,providing surgeons with a visual reference for accurate planning of the surgical approach and operative field.Conclusion The application of AR with three-dimensional reconstruction is safe and feasible in neurosurgical procedures for cerebrovascular diseases.It demonstrates satisfactory effectiveness in preoperative localization and intraoperative navigation guidance.

Objective To assess the clinical feasibility of a self-developed augmented reality(AR)system in surgeries for cerebral arteriovenous malformation(AVM),dural arteriovenous fistula(DAVF),moyamoya,and internal carotid artery stenosis.This system integrates preoperative vascular imaging(CTA,MRA,DSA)with intraoperative real-time visualization through high-precision patient-image registration and virtual-real integration technology.Methods A retrospective analysis was conducted on 6 patients(1 cerebral AVM,1 DAVF,3 moyamoya and 1 internal carotid artery stenosis)collected between March 2023 and April 2024.AR with three-dimensional reconstruction was used for preoperative precise localization and intraoperative navigation guidance.Clinical feasibility was evaluated and analyzed using an intraoperative self-controlled method.Results All 6 patients with diverse etiologies successfully underwent preoperative precise localization and intraoperative navigation guidance under AR three-dimensional reconstruction modeling.This technology achieved visualization of intracranial arteriovenous structures and precise lesion locations,providing surgeons with a visual reference for accurate planning of the surgical approach and operative field.Conclusion The application of AR with three-dimensional reconstruction is safe and feasible in neurosurgical procedures for cerebrovascular diseases.It demonstrates satisfactory effectiveness in preoperative localization and intraoperative navigation guidance.

Articular cartilage is a crucial tissue structure in humans.With ongoing exploration of joint tissue structure and the emergence of innovative biotechnological organoids,various sources of stem cells can be selected for induction to differentiate into articular cartilaginous organoids based on the articular cartilage tissue structure,which can be applied to the treatment of cartilage defects,drug testing,and precision medicine and biological development.This article presents a review of the research progress concerning articular cartilaginous organoids,in order to provide a reference for clinical practice.

Objective: This study aimed to investigate the prevalence and characteristics of impacted teeth (ITs) in orthodontic patients at university dental hospitals in Korea. Methods: This study included 14,774 patients who visited the Department of Orthodontics at 10 university dental hospitals in Korea between 2020 and 2022 and underwent orthodontic diagnosis. The prevalence and characteristics of ITs were investigated using orthodontic diagnostic records, radiographs, and diagnostic casts. Results: The prevalence of ITs, excluding third molar impaction, in Korean orthodontic patients was 13.6% (n = 2,014).The prevalence of ITs in pediatric orthodontic patients was 24.5% (n = 1,614).Of these patients, 68.2% had one IT, 27.5% had two ITs, 24.3% had bilateral IT, and 75.7% had unilateral IT. The most frequent IT was the maxillary canine (50.1%), followed by the mandibular second molar (11.7%), and maxillary second premolar (9.6%). An abnormal eruption path (46.5%) was the most frequent etiology. Orthodontic traction after surgical exposure (70.6%) was the most frequent treatment option. Among the patients with ITs, 29.8% had other dental anomalies, such as tooth agenesis (8.7%), microdontia (8.0%), and supernumerary teeth (5.1%). Furthermore, 50.8% had complications such as cystic lesions (18.3%), transposition (17.7%), and root resorption (14.8%).Among the patients with maxillary canine impaction, 62.2% had labial maxillary canine impaction and 21.1% had palatal maxillary canine impaction. Conclusions The prevalence of ITs in Korean orthodontic patients at university dental hospitals was high, particularly in pediatric orthodontic patients.

Objective: This study aimed to investigate the prevalence and characteristics of impacted teeth (ITs) in orthodontic patients at university dental hospitals in Korea. Methods: This study included 14,774 patients who visited the Department of Orthodontics at 10 university dental hospitals in Korea between 2020 and 2022 and underwent orthodontic diagnosis. The prevalence and characteristics of ITs were investigated using orthodontic diagnostic records, radiographs, and diagnostic casts. Results: The prevalence of ITs, excluding third molar impaction, in Korean orthodontic patients was 13.6% (n = 2,014).The prevalence of ITs in pediatric orthodontic patients was 24.5% (n = 1,614).Of these patients, 68.2% had one IT, 27.5% had two ITs, 24.3% had bilateral IT, and 75.7% had unilateral IT. The most frequent IT was the maxillary canine (50.1%), followed by the mandibular second molar (11.7%), and maxillary second premolar (9.6%). An abnormal eruption path (46.5%) was the most frequent etiology. Orthodontic traction after surgical exposure (70.6%) was the most frequent treatment option. Among the patients with ITs, 29.8% had other dental anomalies, such as tooth agenesis (8.7%), microdontia (8.0%), and supernumerary teeth (5.1%). Furthermore, 50.8% had complications such as cystic lesions (18.3%), transposition (17.7%), and root resorption (14.8%).Among the patients with maxillary canine impaction, 62.2% had labial maxillary canine impaction and 21.1% had palatal maxillary canine impaction. Conclusions The prevalence of ITs in Korean orthodontic patients at university dental hospitals was high, particularly in pediatric orthodontic patients.

To report the first case of congenital ichthyosis with woolly hair in China, and to elucidate its genetic variant profile. A 28-year-old female patient presented with rashes on the trunk and limbs for 28 years. Dermatological examination revealed dry and rough skin over the entire body, with well-defined, polygonal, dark brown, adherent scales densely distributed over the trunk and extremities. No significant abnormalities were observed in the mucous membranes, teeth, or nails. The patient exhibited uniformly distributed, woolly and curly hair with a soft, dry texture and normal density; no significant hair breakage or brittleness was observed, while the eyebrows appeared sparse. Hair microscopy showed irregular axial twisting of hair strands at varying intervals; scanning electron microscopy (SEM) revealed irregular hair shafts with some segments appearing flat in a belt-like pattern, and magnified SEM images further demonstrated hair cuticle damage on the surface of hair shafts, manifesting as localized upward curling and longitudinal grooves, indicating structural damage to the hair shafts. Whole-exome sequencing identified a homozygous variant c.124dupC in exon 3 of the PRSS8 gene in the proband, resulting in a frameshift mutation (p.Gln42Profs*24) in the PRSS8 protein. According to the guidelines of the American College of Medical Genetics and Genomics as well as the patient's clinical manifestations, this variant could be preliminarily classified as pathogenic. A diagnosis of syndromic ichthyosis was made. This case represents the first report of syndromic ichthyosis caused by PRSS8 variants in China and the second report in the world, and this condition is proposed to be tentatively named as "ichthyosis-woolly hair syndrome".

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective:To investigate the association of peripheral blood inflammatory markers and lymphocyte subsets with different severities of acute ischemic stroke(AIS).Methods:A total of 128 AIS patients who were admitted to Department of Neurology,The First Affiliated Hospital of Chongqing Medical University,from January to December 2022 were enrolled as subjects,and according to the National Institutes of Health Stroke Scale(NIHSS)score,the patients were divided into mild AIS group(67 patients with an NIHSS score of<4)and moderate-to-severe AIS group(61 patients with an NIHSS score of≥4).The two groups were compared in terms of baseline clinical data,blood biochemical parameters,and peripheral[MLR],neutrophil-to-lymphocyte ratio[NLR],and platelet-to-lymphocyte ratio[PLR]).Flow cytometry was used to measure the number and percentage of lymphocyte subsets.Results:Compared with the mild AIS group,the moderate-to-severe AIS group had a significantly higher proportion of patients with hyperlipidemia blood inflammatory markers(C-reactive protein[CRP],systemic immune-inflammation index[SII],monocyte-to-lymphocyte ratio(47.761%vs.67.213%,P=0.032),with relatively high values of low-density lipoprotein(LDL)/high-density lipoprotein(HDL)ratio(P=0.025)and total cholesterol(TCHO)/HDL ratio(P=0.020),as well as significantly higher levels of the peripheral blood inflamma-tory markers CRP(P<0.001),platelet count(P=0.001),MLR(P<0.001),and NLR(P<0.001),significantly higher numbers of periph-eral blood CD3 T cells(P=0.006),CD4 T cells(P=0.009),CD8 T cells(P=0.032),and CD3-/CD16+/CD56+NK cells(P=0.002),and a significantly higher proportion of T helper cells(P=0.041).The binary logistic regression analysis showed that platelet count(odds ratio[OR]=1.035,P=0.004),CRP(OR=2.016,P<0.001),NLR(OR=2.585,P=0.030),the proportion of total lymphocytes(OR=1.169,P<0.001),and the number of lymphocytes(OR=1.008,P<0.001)were significantly associated with moderate-to-severe AIS.The receiver operating characteristic(ROC)curve analysis showed that NLR,CRP,and the proportion of total lymphocytes had an area under the ROC curve of 0.760,0.812,and 0.777,respectively.Conclusion:Patients with moderate-to-severe AIS tend to have high levels of the peripheral blood inflammatory markers NLR and CRP,a high lymphocyte count,and a high proportion of lymphocytes.NLR,CRP,and the proportion of lymphocytes are independent risk factors for the development of moderate-to-severe AIS.