1.Advances in application of small-molecule compounds in neuronal reprogramming.
Zi-Wei DAI ; Hong LIU ; Yi-Min YUAN ; Jing-Yi ZHANG ; Shang-Yao QIN ; Zhi-Da SU
Acta Physiologica Sinica 2025;77(1):181-193
Neuronal reprogramming is an innovative technique for converting non-neuronal somatic cells into neurons that can be used to replace lost or damaged neurons, providing a potential effective therapeutic strategy for central nervous system (CNS) injuries or diseases. Transcription factors have been used to induce neuronal reprogramming, while their reprogramming efficiency is relatively low, and the introduction of exogenous genes may result in host gene instability or induce gene mutation. Therefore, their future clinical application may be hindered by these safety concerns. Compared with transcription factors, small-molecule compounds have unique advantages in the field of neuronal reprogramming, which can overcome many limitations of traditional transcription factor-induced neuronal reprogramming. Here, we review the recent progress in the research of small-molecule compound-mediated neuronal reprogramming and its application in CNS regeneration and repair.
Humans
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Cellular Reprogramming/drug effects*
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Neurons/cytology*
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Animals
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Transcription Factors
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Small Molecule Libraries/pharmacology*
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Nerve Regeneration
2.Expert Consensus on Rational Use and Monitoring of Small Molecule Targeted Drugs for Lung Cancer.
Chinese Journal of Lung Cancer 2025;28(4):245-255
The application of small molecule targeted drugs for lung cancer has significantly improved the survival of lung cancer patients. However, these drugs have a wide variety of types, fast development and market launch of new drugs, complex adverse reactions, and are mostly used at home, which increases the risk of irrational drug use. At the same time, insufficient monitoring of efficacy and safety is also prone to occur, ultimately affecting treatment outcomes. This consensus focuses on 43 small molecule targeted drugs or combinations for lung cancer, providing standardized recommendations for rational drug use and monitoring of efficacy/adverse reactions in clinical practice. The recommendations are regarding drug selection, dosage adjustment, efficacy monitoring, adverse reaction monitoring, and improvement of patient compliance. This consensus aims to improve the rational use and efficacy/safety monitoring quality of small molecule targeted drugs for lung cancer, ensure the effectiveness and safety of drug treatment, prolong the survival of lung cancer patients and improve their quality of life.
.
Humans
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Lung Neoplasms/drug therapy*
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Antineoplastic Agents/adverse effects*
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Consensus
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Molecular Targeted Therapy
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Drug Monitoring
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Small Molecule Libraries/therapeutic use*
3.Advances in small molecule representations and AI-driven drug research: bridging the gap between theory and application.
Junxi LIU ; Shan CHANG ; Qingtian DENG ; Yulian DING ; Yi PAN
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1391-1408
Artificial intelligence (AI) researchers and cheminformatics specialists strive to identify effective drug precursors while optimizing costs and accelerating development processes. Digital molecular representation plays a crucial role in achieving this objective by making molecules machine-readable, thereby enhancing the accuracy of molecular prediction tasks and facilitating evidence-based decision making. This study presents a comprehensive review of small molecular representations and AI-driven drug discovery downstream tasks utilizing these representations. The research methodology begins with the compilation of small molecule databases, followed by an analysis of fundamental molecular representations and the models that learn these representations from initial forms, capturing patterns and salient features across extensive chemical spaces. The study then examines various drug discovery downstream tasks, including drug-target interaction (DTI) prediction, drug-target affinity (DTA) prediction, drug property (DP) prediction, and drug generation, all based on learned representations. The analysis concludes by highlighting challenges and opportunities associated with machine learning (ML) methods for molecular representation and improving downstream task performance. Additionally, the representation of small molecules and AI-based downstream tasks demonstrates significant potential in identifying traditional Chinese medicine (TCM) medicinal substances and facilitating TCM target discovery.
Artificial Intelligence
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Drug Discovery/methods*
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Humans
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Machine Learning
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Medicine, Chinese Traditional
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Small Molecule Libraries/chemistry*
5.Notified Incidence of Tuberculosis in Foreign-born Individuals in Jeju Province, Republic of Korea
Korean Journal of Preventive Medicine 2019;52(1):66-70
OBJECTIVES: In the Republic of Korea (ROK), the notified incidence of tuberculosis in foreign-born individuals (NITFBI) has increased recently, as has the rate of multidrug-resistant (MDR) and rifampicin-resistant (RR) tuberculosis in foreigners staying in the ROK. As Jeju Province in ROK has a no-visa entry policy, control programs for NITFBI should be consolidated. The aim was to evaluate the status of NITFBI, with a focus on the distribution of MDR/RR tuberculosis by nationality. METHODS: Data on tuberculosis incidence in individuals born in Jeju Province and in foreign-born individuals were extracted from the Korean Statistical Information Service of Statistics Korea, and the Infectious Disease Surveillance Web Statistics of the Korea Centers for Disease Control and Prevention, respectively. RESULTS: Among all notified incident cases of tuberculosis, the proportion of NITFBI increased from 1.46% in 2011 to 6.84% in 2017. China- and Vietnam-born individuals accounted for the greatest proportion of the 95 cases of NITFBI. Seven cases of MDR/RR tuberculosis were found, all involving patients born in China. CONCLUSIONS: In Jeju Province, ROK, NITFBI might become more common in the near future. Countermeasures for controlling active tuberculosis in immigrants born in high-risk nations for tuberculosis should be prepared in Jeju Province, since it is a popular tourist destination.
Antitubercular Agents
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Centers for Disease Control and Prevention (U.S.)
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China
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Communicable Diseases
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Disease Management
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Drug Resistance
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Emigrants and Immigrants
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Ethnic Groups
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Humans
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Incidence
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Information Services
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Internationality
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Korea
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Mycobacterium tuberculosis
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Republic of Korea
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Tuberculosis
6.The Current Status of Development of Korean Clinical Practice Guidelines in Urology
Korean Journal of Urological Oncology 2019;17(1):1-6
The clinical practice guidelines (CPGs) is made step by step. The evidences that have been published were searched and a group of experts make a consensus based in the evidences. The CPGs in the medical field, where utilizations and interests are increasing, must be confirmed in the management of quality. The Korean Appraisal of Guidelines for Research & Evaluation II (K-AGREE II) tool that helps to manage the quality of CPGs and to develop CPGs was translated by the Steering Committee for Clinical Practice Guideline. It is divided into 6 domains and each domains are independent. It is consisted of 23 items as detail and 2 items for the overall evaluation. Only fifteen CPGs are successfully certified using the K-AGREE II tool in the Korean Medical Guideline Information Center from 2013 and 3 CPGs made by the Korea Urological Association and the associated societies are certified successfully. With the level of certification of CPGs is higher, the Korea Urological Association and the associated societies are also try to develop CPGs that meet their level of certification. The Korean clinical practice guideline for the treatment of prostate cancer developed recently is the evidence of effort.
Certification
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Consensus
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Information Centers
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Korea
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Prostatic Neoplasms
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Quality Improvement
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Urology
7.Resources for assigning MeSH IDs to Japanese medical terms
Genomics & Informatics 2019;17(2):e16-
Medical Subject Headings (MeSH), a medical thesaurus created by the National Library of Medicine (NLM), is a useful resource for natural language processing (NLP). In this article, the current status of the Japanese version of Medical Subject Headings (MeSH) is reviewed. Online investigation found that Japanese-English dictionaries, which assign MeSH information to applicable terms, but use them for NLP, were found to be difficult to access, due to license restrictions. Here, we investigate an open-source Japanese-English glossary as an alternative method for assigning MeSH IDs to Japanese terms, to obtain preliminary data for NLP proof-of-concept.
Asian Continental Ancestry Group
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Humans
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Licensure
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Medical Subject Headings
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Methods
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National Library of Medicine (U.S.)
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Natural Language Processing
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Vocabulary, Controlled
8.Current Status of Health and Welfare Long-Term Plans in Korea
Hyeon Ji LEE ; Selin KIM ; Sung In JANG ; Eun Cheol PARK
Health Policy and Management 2019;29(3):368-373
Korea is undergoing a rapid environmental change in health and welfare. Therefore, the law mandates the establishment and implementation of plans in accordance with the changes. A total of 49 long-term plans related to health and welfare were specified by the National Law Information Center, the Korean representative legal information website managed by the Korea Ministry of Government Legislation. Of the 49 long-term plans, 10 plans (20.4%) were not yet fully constructed. Eight out of 10 non-constructive plans have been put into force for more than a year, but these plans still require further systematic planning and development. The complete construction of long-term plans is substantial to account for the changes in South Korean health and welfare. In addition, a systematic plan with solidarity and continuity between the mutual plans should be established in planning.
Information Centers
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Jurisprudence
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Korea
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Social Welfare
9.Evaluation of biopsies of oral and maxillofacial lesions: a retrospective study
Hatice HOSGOR ; Berkay TOKUC ; Bahadır KAN ; Fatih Mehmet COSKUNSES
Journal of the Korean Association of Oral and Maxillofacial Surgeons 2019;45(6):316-323
OBJECTIVES: This study aimed to determine the prevalence of odontogenic cysts, tumors, and other lesions among reports in the archives of the Department of Oral and Maxillofacial Surgery at the Faculty of Dentistry affiliated with Kocaeli University collected over a four-year period.MATERIALS AND METHODS: In this retrospective study, patient records from the archive of the Department of Oral and Maxillofacial Surgery from 2014 to 2018 were reviewed. Patient demographic information (age and sex) and lesion location were recorded and analyzed.RESULTS: From a total of 475 files reviewed, odontogenic cyst was confirmed in 340 cases (71.6%), and odontogenic tumor was confirmed in 52 cases (10.9%). Regarding odontogenic cyst type, the most common was radicular cyst (216 cases), followed by dentigerous cyst (77 cases) and odontogenic keratocyst (23 cases). Among odontogenic tumors, the most frequent was odontoma (19 cases), followed by ossifying fibroma (18 cases) and ameloblastoma (9 cases). Giant cell granuloma was also reported in 35 cases.CONCLUSION: The distribution pattern of odontogenic cysts and tumors in our retrospective study is relatively similar to that reported in the literature. Complete clinical reports for final diagnosis of these lesions and routine follow-up examinations are very important for treatment.
Ameloblastoma
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Archives
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Biopsy
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Dentigerous Cyst
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Dentistry
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Diagnosis
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Fibroma, Ossifying
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Follow-Up Studies
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Granuloma, Giant Cell
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Humans
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Jaw Neoplasms
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Odontogenic Cysts
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Odontogenic Tumors
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Odontoma
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Prevalence
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Radicular Cyst
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Retrospective Studies
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Surgery, Oral
10.Intraindividual Comparison between Gadoxetate-Enhanced Magnetic Resonance Imaging and Dynamic Computed Tomography for Characterizing Focal Hepatic Lesions: A Multicenter, Multireader Study
Chansik AN ; Chang Hee LEE ; Jae Ho BYUN ; Min Hee LEE ; Woo Kyoung JEONG ; Sang Hyun CHOI ; Do Young KIM ; Young Suk LIM ; Young Seok KIM ; Ji Hoon KIM ; Moon Seok CHOI ; Myeong Jin KIM
Korean Journal of Radiology 2019;20(12):1616-1626
OBJECTIVE: To compare the diagnostic accuracy of dynamic computed tomography (CT) and gadoxetate-enhanced magnetic resonance imaging (MRI) for characterization of hepatic lesions by using the Liver Imaging Reporting and Data System (LI-RADS) in a multicenter, off-site evaluation.MATERIALS AND METHODS: In this retrospective multicenter study, we evaluated 231 hepatic lesions (114 hepatocellular carcinomas [HCCs], 58 non-HCC malignancies, and 59 benign lesions) confirmed histologically in 217 patients with chronic liver disease who underwent both gadoxetate-enhanced MRI and dynamic CT at one of five tertiary hospitals. Four radiologists at different institutes independently reviewed all MR images first and the CT images 4 weeks later. They evaluated the major and ancillary imaging features and categorized each hepatic lesion according to the LI-RADS v2014. Diagnostic performance was calculated and compared using generalized estimating equations.RESULTS: MRI showed higher sensitivity and accuracy than CT for diagnosing hepatic malignancies; the pooled sensitivities, specificities, and accuracies for categorizing LR-5/5V/M were 59.0% vs. 72.4% (CT vs. MRI; p < 0.001), 83.5% vs. 83.9% (p = 0.906), and 65.3% vs. 75.3% (p < 0.001), respectively. CT and MRI showed comparable capabilities for differentiating between HCC and other malignancies, with pooled accuracies of 79.9% and 82.4% for categorizing LR-M, respectively (p = 0.139).CONCLUSION: Gadoxetate-enhanced MRI showed superior accuracy for categorizing LR-5/5V/M in hepatic malignancies in comparison with dynamic CT. Both modalities had comparable accuracies for distinguishing other malignancies from HCC.
Academies and Institutes
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Carcinoma, Hepatocellular
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Contrast Media
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Humans
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Information Systems
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Liver
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Liver Diseases
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Magnetic Resonance Imaging
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Retrospective Studies
;
Tertiary Care Centers

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