ObjectiveTo establish a tumor prognostic risk assessment model related to target genes of the miR-34 family. MethodsTarget genes of the miR-34 family were screened， and the scores of miR-34 target genes were assessed in 16 tumor types. Univariate Cox regression analysis was used to identify the tumor type with the strongest correlation between miR-34 target gene scores and overall survival （OS）. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to elucidate the functional roles and signaling pathways of miR-34 target genes. A prognostic risk model based on the miR-34 target genes was constructed using univariate Cox and LASSO regression analyses. Quantitative real-time PCR （qPCR） and dual-luciferase reporter assays were conducted to validate whether the target genes bind to miR-34 and measure their RNA expression levels in the relevant tumors. Additionally， the risk score was integrated with other clinical indicators to develop a nomogram prediction model for patient survival. ResultsA total of 65 target genes of the miR-34 family were screened. The cancer type exhibiting stronger correlation between the target gene scores and OS was lung adenocarcinoma （P = 0.003， HR= 5.150）. Furthermore， miR-34 target genes were predominantly enriched in oxidative stress pathways and various tumor-related processes. Three genes， LDHA， GALNT7， and SATB2， were identified as core components of the prognostic analysis model for lung adenocarcinoma. Additionally， the constructed nomogram model demonstrated robust predictive performance. ConclusionThe risk model and prognosis model of lung adenocarcinoma constructed based on the key target genes of miR-34 have good predictive performance.

AIM:To automatically identify and quantitatively assess myopia-related fundus structural changes by combining non-mydriatic color fundus photography with an artificial intelligence(AI)-powered quantitative fundus analysis system and to further analyze the correlations between these fundus parameters and spherical equivalent(SE), axial length(AL), and age, providing the objective basis for monitoring myopia progression and supporting the formulation of personalized myopia prevention and control strategies. METHODS:A cross-sectional study was conducted enrolling myopic patients aged 18-50 y who underwent myopia screening from March 2023 to December 2023. Patients were stratified into three groups based on SE: the -3.00 D

Osteoarthritis (OA), a highly prevalent degenerative joint disease worldwide, is defined by articular cartilage degradation, abnormal bone remodeling, and persistent chronic inflammation. It severely compromises patients’ quality of life, and currently, there is no radical cure. Abnormal mechanical stress is widely regarded as a core driver of OA pathogenesis, and the exploration of mechanical signal perception and transduction mechanisms has become crucial for deciphering OA’s pathophysiological processes. Piezo1, a key mechanosensitive cation channel belonging to the Piezo protein family, has recently gained significant attention due to its pivotal role in mediating cellular responses to mechanical stimuli in joint tissues. This review systematically examines Piezo1’s expression patterns, regulatory mechanisms, and pathological functions in OA, with a particular focus on its dual roles in modulating chondrocyte homeostasis and bone metabolism disorders, while also delving into the underlying molecular signaling pathways and potential therapeutic implications. Piezo1, consisting of approximately 2 500 amino acids and forming a unique trimeric propeller-like structure, is widely expressed in chondrocytes, osteocytes, mesenchymal stem cells, and synovial cells. It exhibits permeability to cations such as Ca²⁺, K⁺, and Na⁺, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca²⁺ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca²⁺ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca²⁺ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.

Objective: To investigate the mechanism of miR-224-5p on proliferation, apoptosis, invasion and migration of human hepatocellular carcinoma HepG2 cells. Methods : The RNA expression levels of miR-224-5p and early growth responsive gene 2(EGR2) in patients with hepatocellular carcinoma were obtained from the TCGA dataset. Normal human hepatocytes LO2 and hepatoma cells HepG2 were cultured in vitro, and the HepG2 cells were transfected with lentiviral vectors(knockdown of miR-224-5p), small interfering RNA fragments or overexpression vectors(interference and overexpression of EGR2). The expression levels of miR-224-5p and EGR2 in hepatocellular carcinoma cDNA chips and cells were detected by quantitative real-time PCR(qPCR). The expression level of EGR2 protein was detected by Western blot. Dual luciferase reporter gene assay was used to detect the binding of miR-224-5p to EGR2. HepG2 cells positive rate were detected by EdU assay, apoptosis rate was detected by flow cytometry, cell invasion number was detected by Transwell assay, and cell mobility was detected by scratch assay. Results : Compared with paracancerous tissues, the expression of miR-224-5p was increased and the expression of EGR2 mRNA decreased in HCC tissues. Compared with LO2 group, the expression of miR-224-5p in HepG2 cells increased, and the expression of EGR2 mRNA and protein decreased. Compared with the Lv-sh-NC group, the 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in the Lv-sh-miR-224-5p group decreased, while the apoptosis rate increased. Compared with Oe-NC group, 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in Oe-EGR2 group decreased, while apoptosis rate increased. Compared with Lv-sh-NC group, the expression of EGR2 protein in Lv-sh-miR-224-5p group increased. Compared with Lv-sh-miR-224-5p+si-NC group, 24 h EdU positive cell rate, cell invasion rate, and 48 h cell mobility of HepG2 cells in Lv-sh-miR-224-5p+si-EGR2 group increased, while apoptosis number decreased. Conclusion miR-224-5p can promote proliferation, invasion, and migration of HepG2 cells and inhibit apoptosis via binding with EGR2.

Objective To investigate the mechanism of action of circ-0058063 regulating ERK/MAPK signaling pathway on ferroptosis in esophageal cancer cells.Methods EC9706 cells were randomly divided into the Control group,the si-NC group,the si-circ-0058063 group,and the si-circ-0058063+ISO group.qRT-PCR was used to detect the expression of circ-0058063 in esophageal cancer tissues and cells;CCK-8 and clone formation assay were used to detect the cell proliferation ability.The levels of Fe2+,malondialdehyde(MDA),glutathione(GSH),and reactive oxygen species(ROS)in cells were detected.Western blot was used to detect the ERK/MAPK signaling pathway and the expression of ferroptosis-related protein in cells.Results The expression level of circ-0058063 in esophageal cancer tissue was significantly higher than that in adjacent tissues(P<0.05);the expression level of circ-0058063 in human esophageal cancer cell EC9706 was significantly higher than that in human normal esophageal epithelial cell HEEC(P<0.05).Compared with the Control group,the expression level of circ-0058063 in cells,cell survival rate,number of cloned cells,GSH level,ratios of p-ERK1/2/ERK1/2 and p-p38MAPK/p38MAPK,as well as the expression levels of SLC7A11 and GPX4 protein in the si-circ-0058063 group were significantly reduced(P<0.05),while the levels of Fe2+,MDA,and ROS in cells were significantly increased(P<0.05).Compared with the si-circ-0058063 group,the expression level of circ-0058063 in cells,cell survival rate,number of cloned cells,GSH level,ratios of p-ERK1/2/ERK1/2 and p-p38MAPK/p38MAPK,as well as the expression levels of SLC7A11 and GPX4 protein in the si-circ-0058063+ISO group were significantly increased(P<0.05),while the levels of Fe2+,MDA,and ROS in cells were significantly decreased(P<0.05).Conclusion Knockdown of circ-0058063 can inhibit the proliferation of esophageal cancer cells and induce ferroptosis,and its mechanism of action may be related to the inhibition of ERK/MAPK signaling pathway activation.

Objective:To investigate the current situation of depressive symptoms, effort-reward imbalance (ERI), and sleep quality among train drivers, explore the interaction mechanism between various factors and depressive symptoms, and provide a certain theoretical basis for reducing the level of depressive symptoms among train drivers.Methods:From January to December 2022, train drivers were selected as the research subjects from the locomotive depot of a certain railway bureau through cluster sampling, with a total of 1392 people. A questionnaire survey was conducted to assess the basic situation, ERI, sleep quality and depressive symptoms of train drivers. Multiple stepwise regression was used to analyze the effects of each dimension of ERI and sleep quality on depressive symptoms, and binary logistic regression was used to analyze the effects of ERI and sleep quality on depressive symptoms.Results:Among 1392 train drivers, 897 (64.4%) were classified as having depressive symptoms. The results of multiple stepwise regression analysis showed that the dimensions of external effort, reward and overcommitment of ERI explained 10.3% of the variation in depressive symptoms ( P<0.01). Sleep quality explained 9.9% of the variation in depressive symptoms ( P< 0.01). The results of binary logistic regression analysis showed that after adjusting for confounding variables such as age, length of service, and educational level, high external effort ( OR=2.22, 95% CI: 1.76-2.79) and high overcommitment ( OR=1.90, 95% CI: 1.50-2.39) and poor sleep quality ( OR=5.82, 95% CI: 4.52-7.49) increased the risk of depressive symptoms for train drivers ( P<0.01), while reward was a protective factor for depressive symptoms ( OR=0.44, 95% CI: 0.35-0.55, P<0.01). In the ERI model, high effort and low reward was the greatest risk factor for depressive symptoms ( OR=4.77, 95% CI: 3.41-6.69, P<0.01). In the interaction between ERI and sleep quality, high ERI and poor sleep quality had the greatest negative impact on depressive symptoms ( OR=15.90, 95% CI: 7.27-34.76, P<0.01) . Conclusion:The influence of ERI on depressive symptoms of train drivers has both direct and indirect effects, and sleep quality plays a partial mediating role in the influence of ERI on depressive symptoms.

Aim To investigate the related influencing factors of major adverse cardiovascular events(MACE)in coronary heart disease(CHD)patients with type 2 diabetes mellitus(T2DM)based on prognostic nutritional index(PNI),and to construct a prediction model.Methods The clinical data of 391 patients with CHD combined with T2DM who were hospitalised in the Department of Cardiovascular Medicine of Hebei Provincial People's Hospital from Janu-ary 2022 to January 2023 were collected and followed up for 1 year,and were divided into the MACE group(n=99)and the non-MACE group(n=292)according to the presence or absence of the occurrence of MACE,and were divided into the training set(n=273)and the validation set(n=118)in a ratio of 7:3 by using the computer-generated random number method,and the patients in the training set were divided into the MACE(n=67)group and the non-MACE group(n=206)according to whether they had MACE or not.Lasso regression was used to screen the relevant influencing factors and to construct the prediction model of the column-line diagram,and the prediction model was validated by plotting receiv-er operating characteristic(ROC)curve,calibration curve,decision curve analysis(DCA),and clinical impact curve(CIC).Results Lasso regression showed that the use of angiotensin receptor neprilysin inhibitor(ARNI),fasting blood glucose(FBG),C-reactive protein(CRP),platelet to lymphocyte ratio(PLR),lipoprotein(a)(Lp(a)),and PNI were the predictors of the occurrence of MACE in patients with CHD combined with T2DM.A column-line graph pre-diction model was constructed and validated based on the above predictors,and the area under the ROC curve(AUC)was 0.838(95％CI:0.778～0.898)in the training set and0.872(95％CI:0.803～0.942)in the validation set,with a good discriminatory degree of the model,and the C-values of the calibration curves in the training set and the validation set were 0.838 and 0.872,respectively,with good fit.The results of the decision curve analysis and the clinical impact curve showed that the column-line graph prediction model had a higher net yield of MACE in patients with CHD combined with T2DM,with high clinical utility.Conclusion PNI is an influential factor in the occurrence of MACE in patients with CHD combined with T2DM,and the column-line graphical model constructed on the basis of predictors such as PNI is con-venient for clinical use and has high predictive value in predicting the occurrence of MACE in patients with CHD combined with T2DM.

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: This study aimed to determine the expression levels and prognostic significance of MYCN in bone marrow of adult patients with newly diagnosed acute myeloid leukemia (AML). METHODS: A total of 62 newly diagnosed patients with non-M3 AML were enrolled as the study group, and 20 healthy donors as the control group. Real-time quantitative reverse transcription-polymerase chain reaction (PCR) was performed to detect the expression level of MYCN, and the relationship between MYCN expression and prognosis of AML patients was analyzed. RESULTS: MYCN was up-regulated in newly diagnosed AML patients compared with normal controls (P < 0.001). Receiver operating characteristic (ROC) curve analysis revealed that MYCN could serve as a diagnostic biomarker for AML. Kaplan-Meier survival analysis showed that the patients with high MYCN expression had a shorter overall survival (OS) time than the patients with low MYCN expression (P =0.016). The expression level of MYCN was lower during the complete ressimion (CR) phase of AML compared to the initial diagnosis, but it returned to the initial diagnostic level or even higher during relapse phase. Multivariate Cox regression analysis showed that high expression of MYCN was an independent risk factor for OS of AML patients (P =0.021). CONCLUSION MYCN is highly expressed and associated with poor prognosis in de novo AML, which might be serve as a novel diagnostic and prognostic biomarker for adult AML.
Humans ; Leukemia, Myeloid, Acute/metabolism* ; Prognosis ; N-Myc Proto-Oncogene Protein ; Adult ; Female ; Male ; Middle Aged