Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response， which runs through the physiological and pathological evolution process of AS， is one of the important mechanisms for AS occurrence. Currently， the treatment methods for AS in Western medicine are relatively mature. However， they have adverse reactions such as abnormal liver and kidney function， drug tolerance， target vessel restenosis， and stent thrombosis， which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine （TCM）， characterized by multiple components， multiple targets， and multi-pathway synergy， shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways， such as nuclear factor-κB （NF-κB）， Toll-like receptors （TLRs）， mitogen-activated protein kinase （MAPK）， and Janus kinase/signal transducer and activator of transcription （JAK/STAT）， in the past five years. It summarized the combined mechanism of action of TCM monomers， TCM pairs， and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets， regulating lipid metabolism disorders， and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS， so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.

Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response， which runs through the physiological and pathological evolution process of AS， is one of the important mechanisms for AS occurrence. Currently， the treatment methods for AS in Western medicine are relatively mature. However， they have adverse reactions such as abnormal liver and kidney function， drug tolerance， target vessel restenosis， and stent thrombosis， which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine （TCM）， characterized by multiple components， multiple targets， and multi-pathway synergy， shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways， such as nuclear factor-κB （NF-κB）， Toll-like receptors （TLRs）， mitogen-activated protein kinase （MAPK）， and Janus kinase/signal transducer and activator of transcription （JAK/STAT）， in the past five years. It summarized the combined mechanism of action of TCM monomers， TCM pairs， and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets， regulating lipid metabolism disorders， and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS， so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.

Lung cancer exhibits the highest incidence and mortality rates among cancers globally, with a five-year overall survival rate alarmingly below 20%. Targeting autophagy, though a controversial therapeutic strategy, is extensively employed in clinical practice. Current research is actively pursuing various therapeutic strategies using small molecules to exploit the dual function of autophagy. Nevertheless, the pivotal question of enhancing or inhibiting autophagy in cancer therapy merits further attention. This review aims to provide a comprehensive overview of the mechanisms of autophagy in lung cancer. It also explores recent advances in targeting cytotoxic autophagy and inhibiting protective autophagy with small molecules to induce cell death in lung cancer cells. Notably, most autophagy-targeting drugs, primarily natural small molecules, have demonstrated that activating cytotoxic autophagy effectively induces cell death in lung cancer, as opposed to inhibiting protective autophagy. These insights contribute to identifying druggable targets and drug candidates for potential autophagy-related lung cancer therapies, offering promising approaches to combat this disease.

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Peroxisome proliferator activated receptor-α (PPAR-α) is significantly expressed in various tissues such as the liver, kidney, myocardium, and skeletal muscle, which plays a central role in the development of various diseases by regulating key physiological processes such as energy homeostasis, redox balance, inflammatory response, and ferroptosis. As an important metabolic and excretory organ of the body, renal dysfunction can lead to water and electrolyte imbalance, toxin accumulation, and multiple system complications. The causes of kidney injury are complex and diverse, including acute injury factors (such as ischemia/reperfusion, nephrotoxic drugs, septic shock, and immune glomerulopathy), as well as chronic progressive causes [such as metabolic disease-related nephropathy, hypertensive nephropathy (HN)], and risk factors such as alcohol abuse, obesity, and aging. This review briefly describes the structure, function, and activity regulation mechanism of PPAR-α, systematically elucidates the molecular regulatory network of PPAR-α in the pathological process of kidney injury including acute kidney injury (AKI) such as renal ischemia/reperfusion injury (IRI), drug-induced AKI, sepsis-associated acute kidney injury (SA-AKI), glomerulonephritis, chronic kidney disease (CKD) such as diabetic nephropathy (DN), HN, and other kidney injury, and summarizes the mechanisms related to PPAR-α regulation of kidney injury, including regulation of metabolism, antioxidation, anti-inflammation, anti-fibrosis, and anti-ferroptosis. This review also evaluates PPAR-α's medical value as a novel therapeutic target, and aims to provide theoretical basis for the development of kidney protection strategies based on PPAR-α targeted intervention.
Humans ; PPAR alpha/metabolism* ; Acute Kidney Injury/therapy* ; Animals ; Kidney/metabolism*

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective:To compare the clinical characteristics and laboratory findings between elderly rheumatoid arthritis(ERA)with those of non-elderly rheumatoid arthritis(NERA)patients.Methods:A cross-sectional study was conducted.The study collected laboratory indicators of 1, 286 ERA and 3, 211 NERA patients admitted to the Affiliated Hospital of Zunyi Medical University between January 2015 and December 2022, including inflammatory indicators, complete blood count, liver/kidney function tests, blood lipid, and glycated hemoglobin(HbA 1c), etc. Results:Erythrocyte sedimentation rate, high-sensitivity C-reactive protein and rheumatoid factor in ERA patients were higher than those in NERA patients( t=13.940, 8.453, 3.400, all P<0.001). Hemoglobin, red blood cell count, red blood cell distribution width, albumin and total protein in ERA patients were lower than those in NERA patients( t=2.380, 6.546, 1.954, 12.800, 10.490, all P<0.05). The levels of aspartate aminotransferase, alkaline phosphatase, γ-glutamyl transferase, total bile acid, globulin, lactate dehydrogenase, creatinine and urea nitrogen in ERA patients were higher than those in NERA patients( t=3.366, 3.422, 2.760, 4.520, 3.676, Z=8.678, t=10.630, 17.640, all P<0.05). The levels of uric acid, alanine aminotransferase, total cholesterol, triglyceride, blood glucose and HbA 1c in female ERA patients were higher than those in NERA group( t=6.009, 1.100, 2.111, 3.954, 4.262, 2.667, all P<0.05). Decreased RBC, ALB, TP, GLB( OR=0.279, 95% CI: 0.133-0.582; OR=0.867, 95% CI: 0.809-0.930; OR=0.948, 95% CI: 0.903-0.996; OR=0.817, 95% CI: 0.798-0.833), and increased ALT, AST, Scr, BUN, LDL-C and TC( OR=1.013, 95% CI: 0.997-1.018; OR=1.046, 95% CI: 1.015-1.079; OR=1.026, 95% CI: 1.005-1.047; OR=1.034, 95% CI: 1.019-1.051; OR=1.373, 95% CI: 1.088-1.733; OR=1.266, 95% CI: 1.022-1.569)were independent influencing factors of ERA. Conclusions:ERA patients exhibit elevated inflammatory markers and are more prone to anemia, liver and kidney function damage, and malnutrition.Furthermore, female ERA patients are more likely to have abnormal uric acid, alanine aminotransferase, blood lipids, and blood glucose.

AIM To explore the clinical effects of Jinfukang Oral Liquid combined with thymosin α1 on patients with non-small cell lung cancer due to Dual Deficiency of Qi and Yin.METHODS Seventy-five patients were randomly assigned into thymosin α1 group(15 cases)for 4-week administration,Jinfukang Oral Liquid group(30 cases)for 4-week administration,and combination group(30 cases)for 4-week administration.The changes in TCM clinical syndrome effects,immunity indices(CD3+T,Th,CTL,total NK,CD56dim CD16+NK,NKT,Treg,MDSC),lethality/inhibition ratios(CTL/Treg,total NK/Treg,NKT/Treg,CTL/MDSC,total NK/MDSC,NKT/MDSC)and FACT-L scores were detected.RESULTS The Jinfukang Oral Liquid group and combination group demonstrated higher total effective rates than the thymosin α1 group(P＜0.05).After the treatment,the Jinfukang Oral Liquid group and combination group displayed increased NKT(P＜0.05)and decreased MDSC(P＜0.05),which were more obvious than those in the thymosin α1 group(P＜0.05),and higher NKT was observable in the Jinfukang Oral Liquid group(P＜0.05);the Jinfukang Oral Liquid group and combination group displayed increased lethality/inhibition ratios(P＜0.05),among which NKT/Treg,CTL/MDSC,total NK/MDSC,NKT/MDSC were higher than those in the thymosin α1 group(P＜0.05),and higher CTL/MDSC,NKT/MDSC were observable in the Jinfukang Oral Liquid group(P＜0.05);the Jinfukang Oral Liquid group(except for physiological status,society and family status)and combination group(except for society and family status)displayed increased FACT-L scores(P＜0.05).CONCLUSION For the patients with non-small cell lung cancer due to Dual Deficiency of Qi and Yin,Jinfukang Oral Liquid single use or combined with thymosin α1 can enhance peripheral blood immune surveillance,inhibit immune escape,restore the balanced state of tumor immune responses,and improve TCM syndromes and life quality.

Objective To investigate the factors influencing the efficacy of intravesical Bacille Calmette-Guérin(BCG)instillation after transurethral resection of bladder tumor(TURBT)in patients with intermediate-and high-risk non-muscle invasive bladder cancer(NMIBC),and to construct a prediction model for recurrence after BCG treatment.Methods A retrospective cohort study was conducted on the subjected patients diagnosed with intermediate-and high-risk NMIBC undergoing TURBT followed by standard BCG instillation.The 110 patients treated in Department of Urology of Army Medical Center of PLA from January 2018 to December 2023 were assigned into a training set,while the 52 patients treated at Department of Urology of General Hospital of Central Theater Command from January 2015 to December 2020 were into an external validation set.A total of 17 variables were included and analyzed.Univariate and multivariate Cox regression analyses were performed to identify factors associated with recurrence after BCG instillation,and nomograms were plotted to predict 1-year,3-year,and 5-year recurrence-free survival(RFS).Calibration curve,decision curve analysis(DCA),and receiver operating characteristic(ROC)curve analysis were conducted for internal and external validation to evaluate the predictive performance and clinical utility of the model.Results In the training set,26 patients(23.64%)experienced recurrence during the follow-up period,with a median RFS of 32.00(18.00～50.50)months.Univariate Cox regression analysis suggested that platelet count,eosinophil to lymphocyte ratio(ELR),neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),systemic immune inflammation(SII)index,and neutrophil-monocyte to lymphocyte ratio(NMLR),pathological T1 stage(pT1)tumor and hemoglobin,albumin,lymphocyte,and platelet(HALP)score were potential factors influencing recurrence after BCG instillation.Multivariate Cox regression analysis identified high HALP score(HR=0.185,95%CI:0.046～0.736,P=0.017)as an independent protective factor,while high ELR(HR=3.599,95%CI:1.505～8.608,P=0.004)and pT1 stage(HR=3.240,95%CI:1.191～8.818,P=0.021)were independent risk factors for recurrence.Based on this,a nomogram prediction model was constructed.The calibration curves demonstrated good agreement between predicted and actual 1-,3-,and 5-year recurrence risks.Decision curve analysis indicated clinical utility across a wide threshold probability range.In the training set,the model showed strong predictive performance for 1-(AUC=0.842),3-(AUC=0.847),and 5-year(AUC=0.887)recurrence risks,which was further validated in the external cohort.Conclusion Higher HALP score prior to BCG instillation therapy is a protective factor against tumor recurrence,while higher ELR and pT1 stage are risk factors.Our nomogram prediction model based on HALP score,ELR and pathological T stage,can identify individuals at high risk of recurrence after BCG instillation therapy.