Objective To explore the efficacy and safety of converting the triple immunosuppressive regimen of tacrolimus (Tac) + mycophenolate mofetil (MMF) + prednisone (Pred) to a quadruple regimen of low-dose sirolimus (SRL) + low-dose Tac + MMF + Pred at 3 to 6 months after expanded criteria donor (ECD) kidney transplantation. Methods A single-center, retrospective, donor-matched controlled study included 22 ECD kidney transplant recipients from September 2021 to June 2024. Two recipients from the same donor kidneys were respectively assigned to the SRL group and the conventional triple regimen control group. The main outcome measures were the differences in serum creatinine (Scr), estimated glomerular filtration rate (eGFR), and adverse events before the regimen conversion and after conversion during the 1, 3, 6, and 12-month follow-up. Results There were no statistically significant differences in baseline characteristics between the two groups. In the SRL group, Scr decreased and eGFR increased starting from 3 months after conversion, and this was superior to the control group starting from 6 months(all P < 0.05). There were no statistically significant differences in the incidence of rejection reactions, pulmonary infections, hyperlipidemia and proteinuria between the two groups after conversion and during the 12-month follow-up (all P > 0.05). Conclusions For ECD kidney transplant recipients, converting the triple regimen to the SRL quadruple regimen at 3 to 6 months after transplantation may improve the function of the transplanted kidney without increasing the risk of adverse events.

ObjectiveTo observe the clinical efficacy and safety of Modified Guomin Decoction （加味过敏煎， MGD） in patients with mild to moderate atopic dermatitis （AD） of the traditional Chinese medicine （TCM） pattern of heart fire and spleen deficiency， and to explore its possible mechanisms. MethodsIn this randomized， double-blind， placebo-controlled study， 72 patients with mild to moderate AD and the TCM pattern of heart fire and spleen deficiency were randomly divided into a treatment group and a control group， with 36 cases in each group. The treatment group received oral MGD granules combined with topical vitamin E emulsion， while the control group received oral placebo granules combined with topical vitamin E treatment. Both groups were treated twice daily for 4 weeks. Clinical efficacy， TCM syndrome scores， Visual Analogue Scale （VAS） for pruritus， Dermatology Life Quality Index （DLQI） scores， Scoring Atopic Dermatitis （SCORAD） and serum biomarkers， including interleukin-33 （IL-33）， interleukin-1β （IL-1β）， immunoglobulin E （IgE）， and tumor necrosis factor-α （TNF-α） were compared before and after treatment. Safety indexes was also assessed. ResultsThe total clinical effective rates were 77.78% （28/36） in the treatment group and 38.89% （14/36） in the control group， with cure rates of 19.44% （7/36） and 2.78% （1/36）， respectively. The treatment group showed significantly better clinical outcomes compared to the control group （P＜0.05）. The treatment group exhibited significant reductions in total TCM syndrome scores， including erythema， edema， papules， scaling， lichenification， pruritus， irritability， insomnia， abdominal distension， and fatigue scores， as well as reductions in VAS， DLQI， SCORAD， and serum IgE and IL-33 levels （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had significantly better improvements in all indicators except for insomnia （P＜0.05）. No adverse events occurred in either group. ConclusionMGD is effective and safe in treating mild to moderate AD patients with heart fire and spleen deficiency pattern. It significantly alleviates pruritus， improves TCM syndromes and quality of life， and enhances clinical efficacy， possibly through modulation of immune responses.

P-glycoprotein(P-gp)is an ATP-dependent efflux transporter that is distributed in many tissues and organs.P-gp can selectively pump endogenous substrates and exogenous chemicals from the cell to the outside of the cell to maintain a stable endo-environment.However,it meanwhile restricts the entry of therapeutic drug into tissues and organs,and in particular,mediates the multidrug resistance of tumor cells to chemotherapeutic drugs.Therefore,understanding the localization of P-gp in different tissues and organs may be an important breakthrough point for disease treatment.In this paper,we mainly review the molecular structure,transport mechanism,localization,and regulation of P-gp in different tissues and organs,providing reference for the subsequent treatment of diseases.
Humans ; ATP Binding Cassette Transporter, Subfamily B, Member 1/chemistry* ; Animals ; Drug Resistance, Multiple

At present,the drug substitutes represented by new psychoactive substances are gradually be-coming popular,leading to an increasing demand for identifying novel drugs with unknown structures in drug investigation.Nuclear magnetic resonance(NMR)spectroscopy is an important tool for ana-lyzing molecular structures.In the absence of standard substances,quantitative NMR(qNMR)can un-dertake the quantitative analysis of target substances in complex mixtures and has unique advantages in the research of new drugs and their precursor drugs.Due to the limitations of the site and mainte-nance costs,as well as relatively complex operation,high-field superconducting NMR is less com-monly applied in drug research.The desktop low-field NMR developed in recent years provides a new alternative solution.Due to the use of permanent magnets,its size is reduced,and the operation and maintenance costs are lowered.It has been widely used in various research fields.This article reviews the development of low-field NMR technology,summarizes the application of desktop low-field NMR in screening and identification of suspicious substances,rapid content determination,analysis of drug manufacturing processes and synthetic routes,and correlation traceability.It also looks forward to the prospects and development directions of this technology in drug research,aiming to provide a reference for researchers who work in analytical chemistry and drug research.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

This research investigated the impact of Ganoderma lucidum polysaccharides(GLP) on hepatoblastoma HepG2 and Huh6 cell models, as well as KM mouse model with in situ transplanted tumors, so as to provide a theoretical basis for the clinical application of GLP. Cell viability was assessed through the CCK-8 assay, whereas cell proliferation was evaluated by using the BeyoClick~(TM)EdU-488 test. Cell apoptosis was visualized via Hochest 33258 staining, and autophagy was detected through Mrfp-GFP-LC3 dual fluorescence staining. An in situ tumor transplantation model was created by using HepG2 cells in mice, and mice were treated with normal saline and GLP of 100, 200, and 300 mg·kg~(-1) for tumor count calculation and size assessment. Hematoxylin-eosin(HE) staining was used to observe pathological changes in tumor tissue and vital organs(liver, kidney, lung, spleen, and heart). Western blot analysis was conducted to measure the protein expressions of tumor protein P53(P53), B-cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), cleaved-caspase-3, Beclin-1, autophagy related protein-5(Atg-5), microtubule-associated protein-light chain-3Ⅰ(LC3Ⅰ)/LC3Ⅱ, autophagy adapter protein 62(P62), protein kinase B(Akt), p-Akt, mammalian target of rapamycin(mTOR), and p-mTOR. The in vitro experiment revealed that compared with the control group, after GLP treatment, tumor cell viability decreased significantly; apoptosis rate increased in a dose-dependent manner, and autophagic flux was inhibited. The in vivo experiments showed that compared with the model group, mice treated with GLP exhibited significantly fewer and smaller tumors. Western blot results showed that compared with the control group or model group, levels of P53, Bax, cleaved-caspase-3, Beclin-1, Atg-5, and LC3-Ⅱ/LC3-Ⅰ were significantly increased after GLP treatment, and the levels of Bcl-2, P62, p-Akt/Akt, and p-mTOR/mTOR were significantly decreased. These outcomes suggest that GLP promotes apoptosis and autophagy in hepatoblastoma cells by regulating the Akt/mTOR pathway.
Animals ; Humans ; Autophagy/drug effects* ; Reishi/chemistry* ; Mice ; Apoptosis/drug effects* ; TOR Serine-Threonine Kinases/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Liver Neoplasms/genetics* ; Hepatoblastoma/genetics* ; Polysaccharides/pharmacology* ; Cell Line, Tumor ; Signal Transduction/drug effects* ; Male ; Cell Proliferation/drug effects* ; Hep G2 Cells

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 analyze the clinical characteristics of Stevens-Johnson syndrome （SJS） and toxic epidermal necrolysis （TEN） induced by tislelizumab， providing evidence for clinical medication safety. METHODS Case reports of tislelizumab-related SJS/TEN were retrieved from CNKI， VIP， Wanfang Data， PubMed， ScienceDirect， and Embase. Descriptive analysis was performed. RESULTS Seventeen cases from 17 publications were included （SJS 4 cases， TEN 13 cases）. Among them， there were 10 males and 7 females. Twelve patients were aged between 70 and 79 years. The predominant tumor type was lung cancer （10 cases）. Thirteen patients received combination therapy with chemotherapeutic drugs. The median onset time of SJS/ TEN was 26 （4， 104） days. Nine patients developed SJS/TEN after the first administration of the drug. Sixteen patients exhibited prodromal rash symptoms， primarily characterized by severe skin damage such as skin detachment， accompanied by mucosal injury. Sixteen patients improved after symptomatic treatment， while one patient died. CONCLUSIONS Tislelizumab-associated SJS/TEN risk is higher in elderly patients， males， those with lung cancer and those receiving combination chemotherapy. Mucosal lesions and atypical rashes may indicate the early onset of SJS/TEN. During clinical use， pharmaceutical care can be carried out through measures such as identifying high-risk populations， closely monitoring skin symptoms from the first administration to the fifth treatment cycle， and enhancing patient education. When relevant symptoms occur， the medication should be promptly discontinued and symptomatic treatment should be administered to ensure the patient’s medication safety.

OBJECTIVE: To compare clinical efficacy of tibial transverse transport (TTT) microcirculation reconstruction and periosteal distraction in treating patients with early diabetic foot(DF). METHODS: From June 2021 to June 2024, 60 patients with DF were admitted and divided into bone transport group and stretch group according to different treatment methods. There were 30 patients in bone transport group, including 16 males and 14 females;aged from 48 to 65 years old with an average of (55.59±3.78) years old;the course of disease ranged from 2 to 9 months with an average of(5.95±1.32) months;TTT microcirculation reconstruction surgery was performed. There were 30 patients in distraction group, including 17 males and 13 females;aged from 47 to 67 years old with an average of (55.24±3.81) years old;the course of disease ranged from 2 to 10 months with an average of (5.68±1.54) months;periosteal distraction surgery was performed. The skin temperature of the affected feet, the time of getting out of bed and walking after operation, the time of full weight-bearing, the wound healing time and complications were compared between two groups;the pain was evaluated by visual analogue scale (VAS) before operation and one month after operation respectively;the changes of blood flow velocity of dorsal foot arteries, ankle brachial index(ABI), epidermal growth factor (EGF), and basic fibroblast growth factor (bFGF) before and after operation at 3 months were compared between two groups. RESULTS: All patients were followed up for 3 to 4 months with an average of (3.52±0.12) months. There were no statistically significant differences in comparison of foot skin temperature, postoperative walking time, full weight-bearing time and complications between two groups (P>0.05). The wound healing time of bone transport group (61.26±7.31) days was shorter than that of distraction group (70.17±7.15) days, and the difference was statistically significant (P<0.05). Postoperative VAS at 1 month of bone transport group (2.19±0.21) was lower than that of distraction group (2.55±0.20), and the difference was statistically significant (P<0.05). At 3 months after operation, the blood flow velocity of dorsal foot artery, ankle-brachial index, EGF and bFGF in bone transport group were(34.73±4.18) cm·s^-1, (0.95±0.13), (716.61±71.13) pg·ml^-1 and (175.69±31.28) pg·ml^-1, respectively;which were higher than that of distraction group (31.86±3.23) cm·s^-1, (0.84±0.11), (677.37±70.21) pg·ml^-1, (149.26±30.13) pg·ml^-1, and the differences were statistically significant (P<0.05). There was no recurrence of ulcers in situ or at other sites in both groups during follow-up. CONCLUSION Compared with periosteal distraction, TTT microcirculation reconstruction surgery has a definite effect in the treatment of early DF. It could effectively reduce pain level, improve blood flow indicators and vascular endothelial function of the foot, and has a relatively high safety.
Humans ; Male ; Female ; Middle Aged ; Aged ; Tibia/blood supply* ; Diabetic Foot/physiopathology* ; Microcirculation ; Periosteum/surgery* ; Plastic Surgery Procedures/methods* ; Osteogenesis, Distraction

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence