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.

ObjectiveType I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages. MethodsActive components ofP. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interactionbetween EGCG and IRF3. ResultsNetwork pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG. ConclusionEGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN‑β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

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.

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.

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.

As a member of the Chinese Medical Association (CMA) journal series, Cancer Research and Clinic has consistently adhered to editorial standards established by CMA, striving to enhance academic quality and continuously improve its academic level and influence. It has now become one of the important academic publications in the field of oncology in China. The journal primarily reflects research achievements and academic trends in oncology, serving as an academic exchange platform for clinicians and researchers in the feild of oncology. On the 110th anniversary of the founding of CMA, the journal will be true to the original aspiration, keep the mission firmly in mind, and continue to make due contributions to the development of the prevention and treatment of malignancies in China. This article reviews the journal's developmental history, highlights its accomplishments, and outlines its vision for future growth in the new era.

Objective To explore the injury process of retinal ganglion cells(RGCs)after glucocorticoid(GC)-in-duced ocular hypertension(OHT),as well as the protective effect and mechanism of estradiol(E2)in RGC injury in rats with OHT.Methods Atotalof36(36 eyes)12-week-old male Sprague-Dawley(SD)rats were randomly divided into the blank control group,the GC-OHT group,and the OHT-E2 group,with 12 rats in each group.Rats in the GC-OHT group and the OHT-E2 group were subconjunctivally injected with GC,while those in the blank control group were subconjuncti-vally injected with an equal volume of normal saline.Two weeks after modeling,in addition to being injected with GC,rats in the OHT-E2 group were also provided with E2 eye drops.Before modeling and 1,2,3,and 4 weeks after modeling,the intraocular pressure of rats in each group was measured.The visual acuity changes of rats in each group were detected by pattern electroretinogram(P-ERG)and flash visual evoked potential(F-VEP)4 weeks after modeling.After the eyeballs were removed,the distribution and number of RGCs in rats of each group were observed by immunofluorescence staining.Immunohistochemistry,Western blot,and real-time fluorescence-based quantitative polymerase chain reaction were used to detect the relative protein and mRNA expression levels of NOD-like receptor protein 3(NLRP3),cysteine aspartate prote-ase-1(Caspase-1),and gasdermin-D(GSDMD)in rats in each group.Results There was no statistically significant difference in the intraocular pressure of rats in each group before modeling(P＞0.05).Compared with the blank control group,the intraocular pressure of rats in the GC-OHT group increased 1,2,3,and 4 weeks after modeling,and the differ-ences were all statistically significant(all P＜0.01).Compared with the GC-OHT group,the intraocular pressure of rats in the OHT-E2 group decreased 3 and 4 weeks after modeling,and the differences were all statistically significant(all P＜0.01).The P-ERG and F-VEP results showed that compared with the blank control group,the amplitudes of P50 and P1 waves of rats in the GC-OHT group decreased,and the differences were both statistically significant(both P＜0.05).Com-pared with the GC-OHT group,the amplitudes of P50 and Pl waves of rats in the OHT-E2 group increased,and the differ-ences were both statistically significant(both P＜0.05).The immunofluorescence staining results showed that compared with the blank control group,the number of RGCs of rats in the GC-OHT group decreased,and the difference was statisti-cally significant(P＜0.001).Compared with the GC-OHT group,the number of RGCs of rats in the OHT-E2 group in-creased,and the difference was statistically significant(P＜0.001).The results of immunohistochemistry,Western blot,and real-time fluorescence-based quantitative polymerase chain reaction showed that compared with the blank control group,the relative protein and mRNA expression levels of NLRP3,Caspase-1,and GSDMD in the retina of rats in the GC-OHT group all increased,and the differences were all statistically significant(all P＜0.05).Compared with the GC-OHT group,the relative protein and mRNA expression levels of NLRP3,Caspase-1,and GSDMD in the retina of rats in the OHT-E2 group all decreased,and the differences were all statistically significant(all P＜0.01).Conclusion GC-induced OHT can cause pyroptosis of RGCs,and E2 may alleviate the injury of RGCs in rats with OHT by inhibiting the pyroptosis-related NLRP3/Caspase-1/GSDMD signaling pathway.

The background of revising GB 19083-2023 Protective face mask for medical use was introduced.GB 19083-2023 was compared with GB 19083-2010 Technical requirements for protective face mask for medical use.The revision points were described in detail involving in dead space,total leakage rate,respiratory resistance,resistance to synthetic blood penetration,microbial indicators,biocompatibility and etc,and the convergence between GB 19083-2023 and international mainstream standards was analyzed.References were provided for the understanding of the standard for the production enterprises and consumers.[Chinese Medical Equipment Journal,2025,46(1):73-77]

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