Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

OBJECTIVE: To investigate the effectiveness of digital three-dimensional (3D) assisted unilateral biportal endoscopy (UBE) in the treatment of highly isolated lumbar disc herniation (LDH) with translaminar approach. METHODS: The clinical data of 59 patients who met the selection criteria and underwent UBE treatment due to highly isolated LDH between January 2022 and December 2023 were retrospectively analyzed. Among them, 25 cases were treated with digital 3D assisted translaminar approach (observation group) and 34 cases were treated with interlaminar approach (control group). There was no significant difference in gender, age, disease duration, surgical segment, and preoperative visual analogue scale (VAS) score and Oswestry disability index (ODI) between the two groups ( P>0.05). The operation time, intraoperative blood loss, and lateral articular surface preservation rate were recorded and compared between the two groups. VAS score and ODI were used to evaluate the improvements of pain and function before operation and at 3 and 6 months after operation. The modified MacNab criteria was used to evaluate the effectiveness at last follow-up. RESULTS: One patient in the control group had dural tear, and the other patients had no nerve injury, infection, dural tear, or other related complications. There was no significant difference in operation time and intraoperative blood loss between the two groups ( P>0.05). Patients in both groups were followed up 6-13 months, with an average of 8.3 months. The lateral articular surface preservation rate in the observation group was significantly higher than that in the control group ( P<0.05). Three patients in the observation group and 2 patients in the control group had calf muscle venous thrombosis, which was cured after anticoagulant treatment with rivaroxaban and delayed exercise time. There was no recurrence or second operation during the follow-up period. The VAS score and ODI of the two groups at 3 and 6 months after operation significantly improved when compared with those before operation ( P<0.05). There was no significant difference between the two groups at each time point after operation ( P>0.05). At last follow-up, the effectiveness was evaluated according to the modified MacNab criteria, and there was no significant difference in the evaluation grade and excellent and good rate between the two groups ( P>0.05). CONCLUTION UBE via translaminar approach is safe and effective for the treatment of highly isolated LDH, which is beneficial to protect the facet joint, maintain spinal stability, and reduce soft tissue injury. With the assistance of digital 3D technique, preoperative planning can be performed accurately.
Humans ; Intervertebral Disc Displacement/diagnostic imaging* ; Lumbar Vertebrae/diagnostic imaging* ; Male ; Retrospective Studies ; Female ; Endoscopy/methods* ; Treatment Outcome ; Middle Aged ; Adult ; Imaging, Three-Dimensional ; Operative Time ; Pain Measurement

Taxifolin (TAX) is a natural compound known for its liver protection effect, but the mechanism remains unknown. Phosphorylated proteomics analyses discovered that the phosphorylation level of NDRG1 at T328 was a key event of TAX-improved liver fibrosis. We established models with NDRG1 knockout (KO) in vivo and in vitro, demonstrating that NDRG1 KO attenuated the development of hepatocyte injury, and combining NDRG1 KO and TAX administration did not result in a reduction in protection against liver injury. Cellular thermal shift assay and surface plasma resonance analysis showed that TAX directly binds to NDRG1 rather than its upstream kinase, subsequently demonstrating that TAX regulated phosphorylation of NDRG1 at T328 through binding to its C289 site. NDRG1 T328A (phosphorylated mutation) and T328E (mimic phosphorylation) in vivo and in vitro confirmed that pNDRG1_T328 exacerbates hepatocyte injury along with DNA damage, inflammatory response, and apoptosis, thereby contributing to hepatic stellate cells (HSCs) activation. In contrast, TAX can inhibit the above pathological abnormalities and block hepatocyte injury-triggered HSCs activation and fibrosis. Overall, TAX is a potent liver protection drug primarily targeting NDRG1 and inhibiting pNDRG1_T328 in hepatocytes.

Objective:To evaluate the progress and trends in perioperative management of postoperative delirium(POD)in the elderly over the past decade,providing insights for future research in China.Methods:Literature related to perioperative management of POD in elderly patients was retrieved from the Web of Science database published from Jan 1,2014,to Dec 31,2023.Articles and reviews were selected,and CiteSpace 6.3.1 software was used for duplicate removal and comprehensive analysis.Results:A total of 655 relevant publications were included,showing an overall increasing trend in annual output.China contributed 147 publications(22.44%,147/655),while the United States produced 134 publications(20.46%,134/655).Research hotspots focused on"hip fracture","neurocognitive disorders","Alzheimer's disease",and"oxidative stress".Conclusions:Research on the prevention and treatment of POD in elderly patients is growing globally.Although China has produced a substantial number of publications,its academic influence remains relatively limited.While clinical studies have elucidated strategies for POD prevention and treatment,further research is needed to validate intervention efficacy and explore underlying mechanisms.

Gliomas, with their infiltrative growth and malignant potential, present considerable therapeutic challenges. Maximal safe resection is essential for optimizing patient survival and quality of life. Despite this, existing intraoperative visualization techniques suffer from limited sensitivity and accuracy. Label-free Raman spectroscopy has emerged as a non-invasive, rapidly diagnostic, and highly accurate technique. It accurately diagnoses tumors, identifies infiltration margins, and classifies molecular subtypes, enhancing the precision of glioma surgery. This review summarizes the latest advances and applications of label-free Raman spectroscopy in glioma surgery.

BACKGROUND:Leukoplakia is a common adverse reaction to traditional orthodontic treatment.There are still some controversies about the difference between light-transmitting clear and fixed aligners in the periodontal health status,incidence of leukoplakia,saliva and related bacteria in patients undergoing orthodontic treatment.OBJECTIVE:To compare the effects of clear and fixed aligners on the smooth surface of orthodontic teeth using Universal Visual Scoring System.METHODS:A total of 80 patients admitted to Department of Orthodontics,Second Hospital of Hebei Medical University from January 2018 to December 2022 were selected and randomly divided into a control group(n=40)and an observation group(n=40)using a random number table method.The control group received orthodontic treatment with fixed aligners,and the observation group received orthodontic treatment with clear aligners.Before treatment and after 6,12,and 24 months of treatment,the labial or buccal sides of teeth 13,33,16,and 36 were selected for each patient as the research subjects,and the visual scoring system was used to evaluate the white spot lesions.RESULTS AND CONCLUSION:(1)Before treatment and after 6,12,and 24 months of treatment,there was no significant difference in the color of tooth white spots and the severity of caries between the two groups of patients(P＞0.05).(2)For tooth 13,after 12 months of treatment,the color grade and caries severity of white spots were both higher than before treatment(P＜0.05).For tooth 33,the color grade and caries severity after 12 months of treatment were both higher than before treatment(P＜0.05).The severity of caries after 12 months of treatment was higher than that after 6 months of treatment(P＜0.05).For tooth 16,the color grade of white spots and the severity of caries after 12 months of treatment were both higher than those after 6 months of treatment(P＜0.05).(3)Multi-level ordered multi-classification Logistic regression model analysis showed that the color and severity of white spots on different teeth had little correlation with the type of appliance and were greatly affected by the correction time factor.Among them,the color change and severity of the initial white spots on teeth 33 and 13 were statistically significant at 12 and 24 months of treatment.(4)It is not possible to conclude that there is a difference in the effect of fixed and clear aligners on the white spot lesions of smooth surfaces of the teeth,but an increase in the risk of dental caries with the increase in the duration of treatment can be detected.

This report detailed a case of granulomatous mastitis during pregnancy. At 25 +1 weeks of gestation, the patient presented with a 3 cm indurated mass in the upper outer quadrant of the right breast, exhibiting needle-like pain, tenderness, erythema, edema, and elevated skin temperature. Ultrasound at 26 +1 weeks of gestation revealed an 8.0 cm×2.4 cm×9.0 cm heterogeneous hypoechoic area (BI-RADS category 4B), suggestive of inflammation. Aspiration and biopsy at 27 +3 weeks of gestation confirmed granulomatous lobular mastitis. Surgical incision and drainage under general anesthesia were performed at 29 +1 weeks of gestation, and intraoperative cultures showed no bacterial growth. At 31 weeks of gestation, the wound on the right breast gradually healed with ulceration of the surrounding skin. Admitted at 38 weeks of gestation for delivery preparation, with erythematous and edematous skin on the right breast, multiple abscesses with rupture and crusting, and minimal purulent discharge; debridement was performed. At 38 +6 weeks of gestation, the patient delivered a baby girl vaginally. All ulcers healed within 4-5 months after delivery without abscess formation or purulent discharge. Postpartum breastfeeding guidance was provided in accordance with the patient's preferences. Despite inverted nipple on the affected side, successful breastfeeding was achieved through pump-assisted feeding from the affected breast and direct nursing from the unaffected breast. An eight-month follow-up confirmed sustained lactation and disease resolution.

Objective To investigate the efficacy of leaflet augmentation technique to repair the recurrent mitral valve (MV) regurgitation after mitral repair in children. Methods A retrospective analysis was conducted on the clinical data of children who underwent redo MV repair for recurrent regurgitation after initial MV repair, using a leaflet augmentation technique combined with a standardized repair strategy at Fuwai Hospital, Chinese Academy of Medical Sciences, from 2018 to 2022. The pathological features of the MV, key intraoperative procedures, and short- to mid-term follow-up outcomes were analyzed. Results A total of 24 patients (12 male, 12 female) were included, with a median age of 37.6 (range, 16.5–120.0) months. The mean interval from the initial surgery was (24.9±17.0) months. All children had severe mitral regurgitation preoperatively. The cardiopulmonary bypass time was (150.1±49.5) min, and the aortic cross-clamp time was (94.0±24.2) min. There were no early postoperative deaths. During a mean follow-up of (20.3±9.1) months, 3 (12.5%) patients developed moderate or severe mitral regurgitation (2 severe, 1 moderate). One (4.2%) patient died during follow-up, and one (4.2%) patient underwent a second MV reoperation. The left ventricular end-diastolic diameter was significantly reduced postoperatively compared to preoperatively [ (43.5±8.6) mm vs. (35.8±7.8)mm, P<0.001]. Conclusion The leaflet augmentation technique combined with a standardized repair strategy can achieve satisfactory short- to mid-term outcomes for the redo mitral repair after previous MV repair. It can be considered a safe and feasible technical option for cases with complex valvular lesions and severe pathological changes.

Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

Transformer models have emerged as pivotal tools within the realm of drug discovery, distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes. Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data, these models showcase remarkable efficacy across various tasks, including new drug design and drug target identification. The adaptability of pre-trained transformer-based models renders them indispensable assets for driving data-centric advancements in drug discovery, chemistry, and biology, furnishing a robust framework that expedites innovation and discovery within these domains. Beyond their technical prowess, the success of transformer-based models in drug discovery, chemistry, and biology extends to their interdisciplinary potential, seamlessly combining biological, physical, chemical, and pharmacological insights to bridge gaps across diverse disciplines. This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields. In our review, we elucidate the myriad applications of transformers in drug discovery, as well as chemistry and biology, spanning from protein design and protein engineering, to molecular dynamics (MD), drug target identification, transformer-enabled drug virtual screening (VS), drug lead optimization, drug addiction, small data set challenges, chemical and biological image analysis, chemical language understanding, and single cell data. Finally, we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.