OBJECTIVE To investigate the effects of quercetin （QUE） on intervertebral disc degeneration in rats with lumbar intervertebral disc herniation （LDH） and explore its mechanism based on the forkhead box protein O3/silent information regulator 1 （FOXO3/Sirt1） pathway. METHODS A rat model of LDH was established. The successfully modeled rats were randomly divided into LDH group （gavaged with and intraperitoneally injected with an equal volume of normal saline）， QUE-L group （gavaged with 50 mg/kg QUE+intraperitoneally injected with an equal volume of normal saline）， QUE-H group （gavaged with 100 mg/kg QUE+ intraperitoneally injected with an equal volume of normal saline）， and QUE-H+EX-527 （a Sirt1 inhibitor） group （gavaged with 100 mg/kg QUE+intraperitoneally injected with 1 mg/kg EX-527）， with 12 rats in each group. Additionally， 12 healthy normal rats were selected as the control group （gavaged with and intraperitoneally injected with an equal volume of normal saline）. All rats were administered the corresponding agents once daily for consecutive 8 weeks. After the final administration， the pain threshold and serum levels of inflammatory factors in rats were measured； pathological damage of lumbar intervertebral disc tissue was observed， the apoptosis of nucleus pulposus cells in lumbar intervertebral disc tissue was assessed， and the expression levels of matrix metalloproteinase-3 （MMP-3）， phospholipase A2 （PLA2）， as well as apoptosis-related proteins and FOXO3/Sirt1 pathway- related proteins in intervertebral disc tissue were determined. RESULTS Compared with LDH group， pathological damage of intervertebral disc tissue were improved significantly in QUE-L group and QUE-H group； paw withdrawal mechanical threshold， paw withdrawal thermal latency， the serum levels of transforming growth factor-β1 and interleukin-10 （IL-10） as well as the expression levels of B-cell lymphoma-2 （Bcl-2）， FOXO3 and Sirt1 were significantly increased or prolonged （P＜0.05）. Serum levels of tumor necrosis factor-α and IL-1β， histopathological score of intervertebral disc tissue， apoptotic rate of nucleus pulposus cells， positive expressions of MMP-3 and PLA2 in intervertebral disc tissue and expression levels of Bcl-2 associated X protein were significantly decreased （P＜0.05）. Compared with the QUE-H group， the QUE-H+EX-527 group presented aggravated pathological damage of intervertebral disc tissue， and the trends of all the above indicators were significantly reversed（P＜0.05）. CONCLUSIONS QUE can ameliorate intervertebral disc degeneration in LDH rats， and its mechanism may be related to the activation of the FOXO3/Sirt1 pathway.

Objective To explore the predictive value of artificial intelligence (AI)-based lung nodule CT quantitative analysis for the invasion degree of lung adenocarcinoma spectrum lesions. Methods According to the invasion degree of lung adenocarcinoma spectrum lesions, patients with surgically and pathologically confirmed lung adenocarcinoma spectrum lesions from January to June 2023 in Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University were retrospectively collected and divided into a non-invasive group and an invasive group, including atypical adenomatous hyperplasia, adenocarcinoma in situ, and minimally invasive adenocarcinoma patients in the non-invasive group, and invasive adenocarcinoma patients in the invasive group. All enrolled patients underwent chest CT before surgery, and then the lung nodules were quantitatively analyzed using an AI-based computer-aided diagnosis system to compare the related quantitative parameters of lung nodules that have been surgically removed and pathologically confirmed as lung adenocarcinoma spectrum lesions between the two groups. The relationship between various CT quantitative features and the invasion degree of lung adenocarcinoma spectrum lesions was analyzed. Results A total of 149 patients (149 lesions) were included, including 42 males and 107 females, aged 29-81 (56.35±10.75) years. There were 72 patients in the non-invasive group and 77 patients in the invasive group. Statistical differences were observed between the two groups in long diameter, short diameter, volume, surface area, mass, maximum cross-sectional area, 3D long diameter, maximum CT value, minimum CT value, average CT value, entropy, kurtosis, skewness, malignancy probability and other indicators (P<0.05). Multivariate binary logistic regression analysis showed that long diameter [OR=1.687, 95%CI (1.364, 2.085), P<0.001], average CT value [OR=1.006, 95%CI (1.002, 1.009), P=0.002], and malignancy probability [OR=1.034, 95%CI (1.005, 1.063), P=0.020] were independent risk factors for the invasion degree of lung adenocarcinoma. The predictive model combining the above parameters demonstrated optimal performance, with an area under the receiver operating characteristic curve of 0.951, sensitivity of 0.818, and specificity of 0.972. Using a Nomogram to quantify the three independent risk factors, the cross-validation was performed to evaluate the stability of the model, and the average C-index of cross-validation was 0.950, with each fold C-index >0.75, indicating that the prediction performance of the model was stable, and the calibration curve and decision curve indicated good predictive performance. Conclusion The visualization prediction model constructed by AI-based quantitative analysis of lung nodules in CT demonstrates significant discriminative effectiveness in the assessment of invasiveness in lung adenocarcinoma spectrum lesions. This visualization prediction model can provide a quantitative decision-making basis for the preoperative identification of the degree of invasiveness in lung adenocarcinoma spectrum lesions.

Objective To explore the effects of single-session table tennis exercise with different intensities on working memory and the associated cognitive neural processing mechanisms in college students with depressive symptoms by using event-related potential(ERP)technology.Methods A convenience sampling approach was employed to recruit 100 college students with depressive symptoms from a university.Participants were randomly assigned at a 1∶1∶1∶1 ratio to low-intensity exercise group,moderate-intensity exercise group,high-intensity exercise group,or control group.The exercise groups participated in a single 30-min table tennis intervention at intensities corresponding to 57%-64%of maximum heart rate(HRmax)and rate of perceived exertion(RPE)scores ranging from 9-11,65%-75%HRmax and RPE scores 12-13,and 76%-95%HRmax and RPE scores of 14-17(5-min warm-up,20-min monitored exercise,5-min cool-down).The control group did not receive any exercise intervention.Pre-and post-intervention assessments of verbal working memory(VWM)and spatial working memory(SWM)were performed,alongside the recording of ERP components,including the amplitude and latency of N2 and P3,during the tasks.Results A total of 91 participants(20 in the low-intensity exercise group,25 in the moderate-intensity exercise group,23 in the high-intensity exercise group,and 23 in the control group)were enrolled for analysis.In the VWM task,the main effect of time on accuracy was found to be significant(F(1,89)=5.942,P=0.017,partial η2=0.064).Post-intervention,accuracy was significantly improved in the moderate-intensity and high-intensity exercise groups(change=0.027,95%confidence interval[CI]0.001-0.053,P=0.037;change=0.029,95%CI 0.002-0.055,P=0.040).The main effect of time on reaction time was also significant(F(1,89)=7.244,P=0.009,partial η2=0.077).The interaction between group and time was also significant(F(3,87)=2.844,P=0.042,partial η2=0.089).After the intervention,the reaction time was reduced in the low-intensity and moderate-intensity exercise groups(change=-0.095,95%CI-0.183--0.007,P=0.035;change=-0.079,95%CI-0.158-0,P=0.049).The interaction between time and electrode location in the P3 latency in ERP components was significant(F(3,87)=5.785,P＜0.001,partial η2=0.062),while the interactions for other ERP measures were not significant(all P＞0.05).In the SWM task,the main effect of time on accuracy was significant(F(1,89)=5.092,P=0.027,partial η2=0.055),while the interaction between group and time was not significant(F(3,87)=0.799,P=0.498,partial η2=0.027).After the intervention,accuracy was improved in the moderate-intensity exercise group(change=0.019,95%CI 0-0.037,P=0.046).The main effect of time on reaction time was significant(F(1,89)=14.322,P＜0.001,partial η2=0.141).The interaction between group and time was not significant(F(3,87)=1.521,P=0.215,partial η2=0.050).After the intervention,reaction time was shortened in the moderate-intensity and high-intensity exercise groups(change=-0.082,95%CI-0.136--0.027,P=0.004;change=-0.075,95%CI-0.131--0.018,P=0.029).The interaction between time and electrode location in the P3 amplitude in ERP components was significant(F(3,87)=5.475,P=0.001,partial η2=0.059),while the interactions for other ERP measures were not significant(all P＞0.05).Conclusion Single-session table tennis exercise with different intensities has a positive effect on working memory in college students with depressive symptoms.Moderate-to high-intensity exercise can enhance VWM accuracy,while low-to moderate-intensity exercise can reduce VWM reaction time.Furthermore,moderate-intensity exercise can improve SWM accuracy,and moderate-to high-intensity exercise can shorten SWM reaction time.Additionally,high-intensity exercise can lead to greater activation of ERP components.

OBJECTIVE To explore the effects of dihydroartemisinin(DHA)on the functions of cancer-associated fibroblasts(CAFs)in the tumor microenvironment in hypopharyngeal squamous cell carcinoma(HPSCC).METHODS The influence of conditioned media from CAFs and normal fibroblasts(NFs)on tube formation was assessed using a tube formation assay.Secreted protein levels of IL-6,VEGFA,and VEGFC were measured by immunofluorescence and ELISA.Western blotting was used to evaluate the expression of α-SMA,p-STAT3,STAT3,VEGF-A,and VEGF-C within the STAT3 signaling pathway.After treatment with DHA,the optimal concentration for DHA's effect was determined using CCK8 assays and morphological observations of cells.The impact of DHA on angiogenesis was analyzed through tube formation assays,changes in IL-6 expression were detected using ELISA and immunofluorescence,and alterations in α-SMA,p-STAT3,and STAT3 expression were examined by Western blot.RESULTS Both CAFs and NFs exhibited pro-angiogenic and pro-lymphangiogenic effects,with CAFs showing a more pronounced impact.Activated CAFs overexpressed and secreted high levels of IL-6,VEGF-A,and VEGF-C.The concentration of IL-6 in the conditioned medium supernatants of CAF1 and CAF2 was significantly higher than that of NF1 and NF2(P1<0.001,P2<0.05).Similarly,the concentration of VEGF-A was significantly increased(P1<0.05,P2<0.01),and the concentration of VEGF-C was also significantly increased(P1<0.05,P2<0.01).Treatment with DHA inhibited the activated state of CAFs,reducing the expression and secretion of IL-6 and p-STAT3,thereby suppressing tube formation.CONCLUSION Our findings indicate that CAFs promote angiogenesis and lymphangiogenesis in HPSCC via activation of the STAT3 pathway.DHA effectively inhibits this process,suggesting a potential new therapeutic strategy for the treatment of HPSCC.

In this study,a sensitive lateral flow immunoassay(LFIA)platform based on carbon dots-mesoporous silica nanocomposite(CD-MSNs)fluorescent probes was constructed for high-performance detection of inflammatory marker interleukin-6(IL-6).Green fluorescent carbon dots(CDs)were prepared by hydrothermal method with 3,9-perylenic acid and 3-aminopropyltriethoxysilane(APTES)as raw materials,and highly fluorescent CD-MSNs composites were then constructed by encapsulating the prepared CDs in mesoporous silica nanoparticles(MSNs).Fluorescent probes were prepared by covalent coupling of CD-MSNs with IL-6 antibody.Fluorescent immunochromatographic test strips were constructed by spraying IL-6 capture antibody and goat anti-mouse IgG on nitrocellulose membrane as detection line(T-line)and quality control line(C-line),respectively.The fluorescence immunoassay analyzer was used to quantitatively detect the fluorescence intensity of T-line,and the experimental results showed that the LFIA platform based on this probe had a good linear relationship in IL-6 concentration range of 102-106 pg/mL,and the detection limit was 64 pg/mL,which was two orders of magnitude more sensitive than that of the traditional colloidal gold test strips.This method effectively solved the issue of insufficient sensitivity of traditional LFIA technique,and provided a rapid and highly sensitive detection method for early diagnosis of inflammatory diseases.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Chronic urticaria (CU) is a persistent immune-mediated skin disease with an incompletely understood pathogenesis. As the largest micro-ecosystem in the human body, the gut microbiota participates in complex metabolic processes and produces a wide range of metabolites. The gut microbiota-metabolism axis plays a crucial role in the onset and progression of CU. Patients with CU commonly exhibit gut dysbiosis, characterized by a reduction in beneficial bacteria and an increase in opportunistic pathogens, accompanied by alterations in key metabolites. These changes may disrupt the intestinal barrier and modulate the function of immune cells such as mast cells and T cells, thereby triggering or aggravating distal cutaneous inflammation and contributing to CU pathophysiology. Certain bacterial taxa and metabolites hold promise as potential biomarkers for CU diagnosis, therapeutic response, and prognosis, while interventions targeting gut microbiota have demonstrated potential in ameliorating CU symptoms. Elucidating the characteristics and mechanistic roles of gut microbiota and metabolism in CU could provide a theoretical basis for developing novel individualized diagnostic and therapeutic strategies.
Humans ; Gastrointestinal Microbiome/physiology* ; Chronic Urticaria/etiology* ; Dysbiosis/complications* ; Mast Cells

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Objective:This study aims to investigate the influence of microvessel density（MVD） and microlymphatic vessel density（MLVD） on the prognosis of patients with hypopharyngeal squamous cell carcinoma（HPSCC） and to develop a nomogram prediction model for prognosis based on pathological characteristics. Methods:A retrospective analysis was conducted on clinicopathological and follow-up data from HPSCC patients who underwent surgical treatment at our institution between June 2010 and June 2020. Immunohistochemical staining was performed on tumor tissues and adjacent normal margin tissues to evaluate MVD and MLVD. The associations among MVD, MLVD, and clinicopathological features were analyzed. Univariate and multivariate Cox regression analyses were conducted to identify independent risk factors affecting overall survival（OS）. Based on these findings, a nomogram model was constructed and its predictive accuracy was assessed using C-index, receiver operating characteristic（ROC） curve, and calibration curve. Results:Both MVD and MLVD were significantly higher in HPSCC tumor tissues compared to normal tissues. Patients in the high MVD and high MLVD groups exhibited significantly lower OS rates than those in the low MVD and low MLVD groups. Multivariate Cox regression analysis revealed that N stage, recurrence, nerve invasion, lymph node capsule invasion, MVD, and MLVD were independent prognostic factors of OS. Based on these factors, a nomogram prognosis model was successfully constructed. The nomograms demonstrated superior performance in terms of C-index, area under the ROC curve, and calibration, outperforming the AJCC TNM staging system. Conclusion:Elevated MVD and MLVD levels are associated with poorer prognosis in HPSCC patients. The nomogram model based on pathological features provides valuable insights for clinical assessment and decision-making.
Humans ; Hypopharyngeal Neoplasms/blood supply* ; Prognosis ; Retrospective Studies ; Microvascular Density ; Nomograms ; Lymphatic Vessels/pathology* ; Male ; Female ; Middle Aged ; Carcinoma, Squamous Cell/blood supply* ; Microvessels/pathology* ; Lymphatic Metastasis ; Survival Rate

Cannabidiol (CBD), a non-psychoactive cannabinoid, shows great promise in treating methamphetamine (METH) addiction. Nonetheless, the molecular target and the mechanism through which CBD treats METH addiction remain unexplored. Herein, CBD was shown to counteract METH-induced locomotor sensitization and conditioned place preference. Additionally, CBD mitigated the adverse effects of METH, such as cristae loss, a decline in ATP content, and a reduction in membrane potential. Employing an activity-based protein profiling approach, a target fishing strategy was used to uncover CBD's direct target. ATP5A1, a subunit of ATP synthase, was identified and validated as a CBD target. Moreover, CBD demonstrated the ability to ameliorate METH-induced ubiquitination of ATP5A1 via the D376 residue, thereby reversing the METH-induced reduction of ATP5A1 and promoting the assembly of ATP synthase. Pharmacological inhibition of the ATP efflux channel pannexin 1, blockade of ATP hydrolysis by a CD39 inhibitor, and blocking the adenosine A1 receptor (A1R) all attenuated the therapeutic benefits of CBD in mitigating METH-induced behavioral sensitization and CPP. Moreover, the RNA interference of ATP5A1 in the ventral tegmental area resulted in the reversal of CBD's therapeutic efficacy against METH addiction. Collectively, these data show that ATP5A1 is a target for CBD to inhibit METH-induced addiction behaviors through the ADO-A1R signaling pathway.