To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To explore the safety and feasibility of 5G remote robot-assisted thoracoscopic anatomic lobectomy and segmentectomy. Methods A retrospective analysis was conducted on patients who underwent 5G remote robot-assisted thoracoscopic anatomic lobectomy or segmentectomy between July and September 2024. The surgeries were performed collaboratively by Shanghai Chest Hospital, Affiliated Hospital of Yangzhou University, and The First Affiliated Hospital of Nanchang University. Perioperative outcomes were recorded and analyzed. Results Ten patients were included, comprising 4 anatomic lobectomies and 6 segmentectomies. The median age was 61.0 (56.0, 72.0) years. The median intraoperative bi-directional network latency was 52.5 (39.0, 54.0) ms. There were no instances of network interruption, robot-related adverse events, or conversions to open thoracotomy. The median postoperative chest tube drainage volume was 500.0 (375.0, 600.0) mL, and the median hospital stay was 5.5 (4.0, 6.0) days. No complications of Clavien-Dindo grade Ⅱor higher occurred. All patients were recurrence-free and alive during the 6-month postoperative follow-up period. Conclusion 5G remote robot-assisted thoracoscopic surgery demonstrates high safety and operational stability. This technology shows promising potential for clinical application and is worthy of further development and utilization.

Objective To investigate the correlation between serum monoamine oxidase(MAO),soluble growth stimulation expressed gene 2(sST2)and coronary slow flow(CSF),and to evaluate their value in pre-dicting CSF risk and guiding clinical decision-making.Methods A total of 118 patients with CSF confirmed by coronary angiography from January 2022 to September Dazhu Hospital Affiliated to North Sichuan Medical College 2023 were selected as the observation group,while 120 patients with normal coronary blood flow were selected as the control group.The coronary flow velocity was assessed using the TIMI frame count(TFC).Baseline characteristics,as well as serum MAO and sST2 levels,were compared between the two groups.Multi model calibration Logistic regression analysis was used to examine the relationship between the two markers and CSF.Pearson correlation analysis was conducted to evaluate the association between the markers and TFC.The predictive efficacy of MAO and sST2 for CSF and their benefit in clinical decision-making were as-sessed using receiver operating characteristic(ROC)curve and decision curve analysis(DCA).Results(1)The levels of body mass index(BMI),smoking proportion,C-reactive protein(CRP),uric acid(UA),creati-nine(Cr),MAO,and sST2 in the observation group were all higher than those in the control group(P＜0.05).(2)The TFC and mean TFC of LAD,LCX,and RCA in the observation group were higher than those in the control group(P＜0.05).(3)Multivariate Logistic regression analysis suggested that serum MAO and sST2 were independent risk factors for the occurrence of CSF(OR＞1,P＜0.05).(4)Pearson correlation a-nalysis showed that serum MAO and sST2 levels were positively correlated with the TFC of the LAD,LCX,and RCA,as well as the mean TFC(r=0.735,0.710,0.728,0.703,r=0.727,0.669,0.684,0.705,P＜0.05).(5)ROC curve revealed that the area under the curve(AUC)for predicting CSF was 0.761 of MAO,0.750 of sST2,and 0.807 of their combination.(6)DCA curve showed that the net benefit of serum MAO was greater than 0 when the threshold probability was between 0.05 and 0.70,the net benefit of serum sST2 was greater than 0 when the threshold probability was between 0.05 and 0.85,and their combined prediction yielded a greater net benefit within the threshold range of 0.40 to 0.90.Conclusion Elevated serum MAO and sST2 levels are independent risk factors for CSF.Both markers have good predictive value for CSF,and their combined detec-tion further improves predictive performance and clinical net benefit.

Objective To investigate the efficacy of the ultraviolet A-riboflavin cross-linking corneal stromal lenticule punctal plug for the treatment of dry eyes in rabbits.Methods Thirty-two New Zealand white rabbits(64 eyes)were se-lected and randomly divided into a normal group,a model group,a conventional plug group and a cross-linking plug group,with 8 rabbits(16 eyes)in each group.Rabbits in the normal group were not treated.In the model group,moderate-to-se-vere dry eye rabbit models were constructed but no treatment was given.Rabbits in the conventional and cross-linking plug groups were implanted with conventional and cross-linking plugs after model construction,respectively.The tear film func-tions of the experimental rabbits,including tear secretion volume(SIT),corneal fluorescein sodium staining,tear film break-up time(BUT),and tear meniscus height(TMH),were detected before the intervention,1 day,1 week,2 weeks,and 4 weeks after the intervention.In addition,the corneas of each group were collected for hematoxylin and eosin(HE)staining to observe the changes of the corneal epithelium 4 weeks after the intervention.Finally,the non-cross-linking and cross-linking corneal stromal lenticules were placed separately in 1 g·L-1 of type Ⅰ collagenase to observe the change of the lenticule diameter over time.Results In the cross-linking plug group,the SIT,BUT and TMH values 2 and 4 weeks after the intervention were significantly higher than those before the intervention(all P＜0.01).In the conventional plug group,the SIT,BUT and TMH values 4 weeks after intervention were significantly higher than those before the intervention(all P＜0.01).After 4 weeks of intervention,the corneal staining of rabbits in the cross-linking plug group was better than that in the conventional plug group and model group.The HE staining results showed that in the cross-linking plug group,the corneal epithelial thickness of rabbits was basically normal,epithelial cells were basically arranged in order,and a single layer of columnar epithelial cells was observed on the basal layer.The dissolution time of the corneal stromal lenticule after cross-linking was significantly increased,compared with that of the non-cross-linking one.Conclusion The ultraviolet A-riboflavin cross-linking corneal stromal lenticule punctal plug has a more stable therapeutic effect on the rabbit dry-eye model than the conventional one,so it is expected to provide a novel approach for the clinical treatment of dry eyes.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

OBJECTIVE: To investigate the clinical characteristics and prognostic factors of elderly patients with diffuse large B-cell lymphoma (DLBCL). METHODS: Clinical data of elderly DLBCL patients diagnosed pathologically between 2010 and 2015 were extracted from the SEER database. Cox proportional hazards model was used for multivariate analysis, and Kaplan-Meier survival curves were plotted to explore the prognostic factors affecting overall survival (OS). RESULTS: A total of 11 523 elderly DLBCL patients were included, of whom 58.6% had stage Ⅲ/Ⅳ disease, and 28.8% exhibited extranodal involvement. Besides lymph nodes (68.5%), common primary extranodal sites included the gastrointestinal tract (9.8%) and lip, mouth, and pharynx (4.1%). The median survival time for the entire cohort was 47 months, with a 3-year survival rate of 52.0%, and a 5-year survival rate of 47.8%. Multivariate Cox regression analysis revealed that age, sex, race, Ann Arbor stage, primary site, B symptoms, treatment modality, treatment sequence, and whether DLBCL was the first malignant primary indicator were independent prognostic factors affecting OS in elderly DLBCL patients (all P <0.05). CONCLUSION Age≥70 years, male, black race, advanced Ann Arbor stage, primary sites in the lungs, liver, or kidney, presence of B symptoms, and preoperative systemic therapy were independent risk factors for poor prognosis in elderly DLBCL patients.
Humans ; Lymphoma, Large B-Cell, Diffuse/diagnosis* ; Prognosis ; Aged ; Male ; Female ; Survival Rate ; Proportional Hazards Models ; Aged, 80 and over ; Kaplan-Meier Estimate ; Neoplasm Staging

Sigma-1 receptor (σ ₁R) has become a focus point of drug discovery for central nervous system (CNS) diseases. A series of novel 1-phenylethan-1-one O-(2-aminoethyl) oxime derivatives were synthesized. In vitro biological evaluation led to the identification of 1a, 14a, 15d and 16d as the most high-affinity (K _i < 4 nmol/L) and selective σ ₁R agonists. Among these, 15d, the most metabolically stable derivative exhibited high selectivity for σ ₁R in relation to σ ₂R and 52 other human targets. In addition to low CYP450 inhibition and induction, 15d also exhibited high brain permeability and excellent oral bioavailability. Importantly, 15d demonstrated effective antipsychotic potency, particularly for alleviating negative symptoms and improving cognitive impairment in experimental animal models, both of which are major challenges for schizophrenia treatment. Moreover, 15d produced no significant extrapyramidal symptoms, exhibiting superior pharmacological profiles in relation to current antipsychotic drugs. Mechanistically, 15d inhibited GSK3β and enhanced prefrontal BDNF expression and excitatory synaptic transmission in pyramidal neurons. Collectively, these in vivo proof-of-concept findings provide substantial experimental evidence to demonstrate that modulating σ ₁R represents a potential new therapeutic approach for schizophrenia. The novel chemical entity along with its favorable drug-like and pharmacological profile of 15d renders it a promising candidate for treating schizophrenia.

Hepatocellular carcinoma (HCC) expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming. Aldolase A (ALDOA) plays a prominent role in glycolysis; however, little is known about its role in HCC development. In the present study, we aim to explore how ALDOA is involved in HCC proliferation. HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout, which is consistent with ALDOA overexpression encouraging HCC proliferation. Mechanistically, ALDOA knockout partially limits the glycolytic flux in HCC cells. Meanwhile, ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase; ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function. A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun, and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells. In HCC patients, the expression level of ALDOA was correlated with the phosphorylation level of c-Jun (Thr93) and poor prognosis. Remarkably, hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models, and the knockdown of A ldoa strikingly decreased HCC development in vivo. Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription, opening additional avenues for anti-cancer therapies.