[摘 要] 目的：探讨lncRNA DLEU2通过EZH2/H3K27me3途径调控IKKα介导甲状腺癌（TC）放射性碘抵抗的作用机制。方法：利用TCGA数据库分析TC中DLEU2的表达及其与EZH2的相关性。构建放射性碘抵抗的TPC-1细胞（RR-TPC-1细胞）模型及裸鼠移植瘤模型，通过敲低或过表达DLEU2（si-DLEU2/OE-DLEU2）、抑制EZH2（UNC1999）、过表达IKKα（OE-IKKα）进行干预，采用qPCR、WB、RIP、ChIP、CCK-8、流式细胞术、TUNEL染色及体内成瘤实验检测基因与蛋白表达、表观修饰、细胞增殖、凋亡及肿瘤生长。结果：TCGA分析显示，DLEU2在TC组织中显著上调（P < 0.001），与患者不良预后相关（P = 0.008 4），且与EZH2表达呈正相关（r = 0.390, P < 0.001）；RIP证实EZH2与DLEU2存在相互作用/结合（P < 0.05）。体外实验表明，敲低DLEU2可显著下调RR-TPC-1细胞中EZH2、IKKα表达及H3K27me3修饰水平，抑制NF-κB通路活化（P < 0.05或P < 0.01），抑制细胞增殖、促进凋亡（均P < 0.05）。联合敲低DLEU2与抑制EZH2进一步增强上述效应，而过表达IKKα则可部分逆转上述效应（P < 0.05或P < 0.01）。体内实验进一步证实，敲低DLEU2联合抑制EZH2可显著抑制移植瘤生长，增加肿瘤细胞凋亡（均P < 0.01）；IKKα过表达则部分逆转上述抗肿瘤效应（P < 0.05或P < 0.01）。结论：lncRNA DLEU2通过招募EZH2催化H3K27me3修饰，间接激活IKKα/NF-κB信号并形成正反馈环路，介导TPC-1细胞131I抵抗。

BACKGROUND:Polyether ether ketone has the advantages of elastic modulus close to human cortical bone,good ray transmission,chemical stability,and biocompatibility.Polyether ether ketone is expected to be applied in the field of oral implants.However,polyether ether ketone is bioinert and is difficult to integrate with surrounding bone tissue.Therefore,how to improve the surface bioactivity of polyether ether ketone remains a major issue.OBJECTIVE:To analyze the osteogenic and vasogenic effects of polyether ether ketone surface bone forming peptide 1 and polydopamine composite coating.METHODS:Polyether ether ketone titanium sheets were immersed in dopamine solution for 24 hours to prepare polyether ether ketone-polydopamine materials.Polyether ether ketone-polydopamine material was immersed in the bone forming peptide 1 solution for 24 hours to prepare polyether ether ketone-polydopamine-bone forming peptide 1 material.The micromorphology,hydrophilicity,and elemental composition of the material were characterized.Bone marrow mesenchymal stem cells were injected on the surface of polyether ether ketone,polyether ether ketone-polydopamine,and polyether ether ketone-polydopamine-bone forming peptide-1 materials.Cell viability and adhesion status were evaluated by live/dead cell staining and cytoskeleton staining.Cellular osteogenic differentiation ability was detected by alizarin red and osteocalcin immunofluorescence staining.Human umbilical vein endothelial cells were inoculated on the surface of three groups of materials.Cell viability and angiogenesis level were assessed by live/dead cell staining and immunofluorescence staining of cytoskeleton/vascular endothelial growth factor.RESULTS AND CONCLUSION:(1)Under scanning electron microscope,the surface of polyether ether ketone material was smooth;the surface of polyether ether ketone-polydopamine material had uneven deposits,and the surface of polyether ether ketone-polydopamine-bone forming peptide 1 material had small particles protruding.The results of contact angle test showed that the hydrophilicity of polyether ether ketone-polydopamine-bone forming peptide-1 material was better than the other two materials.X-ray photoelectron spectroscopy results showed that bone forming peptide 1 had been successfully modified on the surface of polyether ether ketone material.(2)Live/dead cell staining and cytoskeleton staining exhibited that compared with the other two materials,polyether ether ketone-polydopamine-bone-forming peptide 1 material could improve the viability and adhesion of bone marrow mesenchymal stem cells.Alizarin red and osteocalcin immunofluorescence staining showed that compared with the other two materials,polyether ether ketone-polydopamine-bone forming peptide-1 materials could promote the osteogenic differentiation of bone marrow mesenchymal stem cells.(3)Live/dead cell staining and immunofluorescence staining showed that compared with the other two materials,polyether ether ketone-polydopamine-bone forming peptide 1 material could improve the viability and adhesion of human umbilical vein endothelial cells and the expression of vascular endothelial growth factor protein.(4)The results show that the modification of bone forming peptide 1 and polydopamine composite coating on polyether ether ketone surface can improve the osteogenesis and angiogenesis.

Cardiovascular disease has high disability and mortality rates,posing a serious threat to human health.Carotid atherosclerosis is closely related to cardiovascular events.Being non-invasive,high resolution(HR)-MRI has high resolution and unique advantages for evaluating characteristics of carotid plaques.The research progresses in correlations of HR-MRI characteristics of carotid atherosclerotic plaque and cardiovascular events were reviewed in this article.

Cardiovascular disease has high disability and mortality rates,posing a serious threat to human health.Carotid atherosclerosis is closely related to cardiovascular events.Being non-invasive,high resolution(HR)-MRI has high resolution and unique advantages for evaluating characteristics of carotid plaques.The research progresses in correlations of HR-MRI characteristics of carotid atherosclerotic plaque and cardiovascular events were reviewed in this article.

Nuclear receptor co-activator 4 (NCOA4) acts as a selective cargo receptor that binds to ferritin, a cytoplasmic iron storage complex. By mediating ferritinophagy, NCOA4 regulates iron metabolism and releases free iron in the body, thus playing a crucial role in a variety of biological processes, including growth, development, and metabolism. Recent studies have shown that NCOA4-mediated ferritinophagy is closely associated with the occurrence and development of iron metabolism-related diseases, such as liver fibrosis, renal cell carcinoma, and neurodegenerative diseases. In addition, a number of clinical drugs have been identified to modulate NCOA4-mediated ferritinophagy, significantly affecting disease progression and treatment efficacy. This paper aims to review the current research progress on the role of NCOA4-mediated ferritinophagy in related diseases, in order to provide new ideas for targeted clinical therapy.
Humans ; Nuclear Receptor Coactivators/physiology* ; Ferritins/metabolism* ; Animals ; Neurodegenerative Diseases/metabolism* ; Iron/metabolism* ; Autophagy/physiology* ; Liver Cirrhosis/metabolism* ; Carcinoma, Renal Cell/metabolism* ; Kidney Neoplasms/physiopathology*

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Objective:To investigate the staging criteria of renal tuberculosis，and to analyze the diagnostic and therapeutic characteristics as well as prognostic outcomes at different stages.Methods:A retrospective analysis was conducted on the clinical data of 134 patients with renal tuberculosis who were admitted to the Second Hospital of Lanzhou University between January 2019 and December 2023.The study cohort included 62 males and 72 females，with a mean age of（46.63 ± 13.52）years and a mean body mass index（BMI）of（22.85 ± 3.73）kg/m 2. A total of 107 patients resided in rural areas. Sixty patients had a history of pulmonary tuberculosis. Tuberculous lesions were located in the left kidney in 72 cases and in the right kidney in 62 cases. The main presenting complaints included irritative lower urinary tract symptoms in 85 patients and systemic symptoms in 92 patients. Ureteral involvement was observed in 97 patients，bladder involvement in 32 patients，and genital involvement in 9 patients. Based on computed tomography（CT）findings，the number，extent，and degree of renal destruction caused by tuberculous lesions were comprehensively evaluated in axial，coronal，and sagittal planes. The primary staging criteria included lesion diameter（2 cm）and the proportion of renal volume involved by the lesion（one-third，one-half，and two-thirds）. Renal tuberculosis was classified into three stages and six subtypes：Stage Ⅰa，a solitary lesion with a diameter ≤ 2 cm；Stage Ⅰb，a solitary lesion >2 cm or multiple lesions confined within one-third of the renal volume；Stage Ⅱa，lesions involving more than one-third but confined within one-half of the renal volume；Stage Ⅱb，lesions involving more than one-half but confined within two-thirds of the renal volume；Stage Ⅲa，lesions involving more than two-thirds of the renal volume with a glomerular filtration rate（GFR）of the affected kidney <10 ml/min；and Stage Ⅲb，complete renal calcification，presenting as an “autonephrectomy”. Among the 134 patients included in this study，7 were classified as Stage Ⅰa，17 as Stage Ⅰb，20 as Stage Ⅱa，19 as Stage Ⅱb，62 as Stage Ⅲa，and 9 as Stage Ⅲb. The severity of hydronephrosis was graded as follows：mild，renal pelvic separation <2 cm；moderate，2-3 cm；and severe，>3 cm. Prior to treatment，the mean renal pelvic separation was（1.76 ± 0.92）cm in Stage Ⅰa，（1.69 ± 0.81）cm in Stage Ⅰb，and（1.10 ± 0.82）cm in Stage Ⅱa，corresponding to mild to moderate hydronephrosis. All 7 patients in Stage Ⅰa underwent ureteroscopic examination and double-J stent placement，combined with a 6-month short-course anti-tuberculosis regimen consisting of isoniazid，rifampicin，pyrazinamide，and ethambutol for 2 months（intensive phase），followed by isoniazid and rifampicin for 4 months（continuation phase）. Among the 17 patients in Stage Ⅰb，13 presented with hydronephrosis and underwent ureteroscopic examination and double-J stent placement in combination with 6 months of anti-tuberculosis therapy，while 4 patients with isolated renal tuberculosis received anti-tuberculosis therapy alone for 6 months.Of the 20 patients in Stage Ⅱa，4 with hydronephrosis underwent ureteroscopic examination and double-J stent placement plus 6 months of anti-tuberculosis therapy，whereas 16 underwent nephroureterectomy. All 19 patients in Stage Ⅱb underwent nephroureterectomy. Among the 62 patients in Stage Ⅲa，60 underwent nephroureterectomy，while 2 refused surgery and were treated with the 6-month short-course anti-tuberculosis regimen. Of the 9 patients in Stage Ⅲb，8 underwent nephroureterectomy；in 1 patient，surgery was not performed due to severe adhesions in the operative field，and the patient received the 6-month short-course anti-tuberculosis regimen instead. Follow-up assessments included clinical symptoms，erythrocyte sedimentation rate（ESR），serum creatinine，degree of renal pelvic separation，and imaging findings from urinary tract CT. Efficacy was evaluated according to the following criteria：Cure was defined as clinical stability with all of the following conditions：① improvement of systemic symptoms，including absence of flank pain，fever，and lower urinary tract irritative symptoms，with normalization of erythrocyte sedimentation rate（ESR）；② negative urine culture for Mycobacterium tuberculosis；and ③ complete calcification of renal lesions and/or no evidence of tuberculous lesions at other sites. Stable disease was defined as no change in the size or extent of renal tuberculosis lesions. Progressive disease was defined as enlargement or increase in the number of tuberculous lesions or involvement of additional sites. Results:Among the 7 patients in Stage Ⅰa，follow-up imaging after treatment showed a mean renal pelvic separation of（0.44 ± 0.56）cm，which was significantly reduced compared with baseline（ t = 3.909， P = 0.008）. Five patients achieved cure，1 remained stable，and 1 showed disease progression and subsequently underwent nephroureterectomy，resulting in postoperative cure. In Stage Ⅰb，among 13 patients with hydronephrosis，post-treatment imaging showed a mean renal pelvic separation of（0.8 ± 0.75）cm，a statistically significant improvement from baseline（ t = 5.633， P < 0.01）. Six patients were cured，4 remained stable，and 3 experienced disease progression and underwent nephroureterectomy. Of the 4 patients with isolated renal tuberculosis，2 were controlled，and 2 progressed and underwent nephroureterectomy. In Stage Ⅱa，among 4 patients with tuberculous hydronephrosis，post-treatment renal pelvic separation was（1.20±0.98）cm，with no significant difference from baseline（ t = -1.675， P = 0.193）；these patients underwent nephroureterectomy 1-2 years later. The remaining 16 patients without hydronephrosis underwent nephroureterectomy and were cured. All 19 patients in Stage Ⅱb underwent nephroureterectomy；17 were cured，and 2 developed ipsilateral perirenal fluid collections 3 months postoperatively，which resolved spontaneously with the standard 6-month anti-tuberculosis regimen. Among 62 patients in Stage Ⅲa，60 underwent nephroureterectomy. Of these，54 were cured；1 developed a urinary tract infection within 2 weeks postoperatively；3 showed contralateral renal disease progression at 3 months；and 1 developed ipsilateral perirenal fluid at 3 months，which resolved spontaneously with standard anti-tuberculosis therapy. One patient developed solitary kidney failure 7 months postoperatively and underwent ureteral stent placement，with disease remaining stable thereafter. Two patients refused surgery and received only anti-tuberculosis therapy；during follow-up，1 patient experienced disease progression and died of disseminated tuberculosis after 1 year，while the other developed contralateral renal involvement at 3 months and received standard 6-month therapy，with disease remaining stable. Among 9 patients in Stage Ⅲb，8 underwent nephroureterectomy and were cured. One patient，with severe adhesions precluding surgery，received anti-tuberculosis therapy alone，and disease remained stable over a 2-year follow-up. Conclusions:The CT-based staging system for renal tuberculosis proposed in this study（three stages and six subtypes）effectively reflects the severity of renal lesions and clearly delineates the clinical characteristics and prognostic outcomes at each stage. Stage Ⅰ patients treated with anti-tuberculosis drugs combined with double-J stent placement demonstrated favorable outcomes and high renal preservation rates. In contrast，Stages Ⅱ and Ⅲ patients showed poor responses to anti-tuberculosis therapy combined with drainage，with a higher risk of disease progression and relatively worse prognosis，highlighting the recommendation for early nephroureterectomy of the affected kidney.

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential

OBJECTIVES: To investigate the chain mediating role of family care and emotional management in the relationship between social support and anxiety among rural primary school students. METHODS: A questionnaire survey was conducted among students in grades 4 to 6 from four counties in Hunan Province. Data were collected using the Social Support Rating Scale, Family Care Index Scale, Emotional Intelligence Scale, and Generalized Anxiety Disorder -7. Logistic regression analysis was used to explore the influencing factors of anxiety symptoms. Mediation analysis was conducted to assess the chain mediating effects of family care and emotional management between social support and anxiety. RESULTS: A total of 4 141 questionnaires were distributed, with 3 874 valid responses (effective response rate: 93.55%). The prevalence rate of anxiety symptoms among these students was 9.32% (95%CI: 8.40%-10.23%). Significant differences were observed in the prevalence rates of anxiety symptoms among groups with different levels of social support, family functioning, and emotional management ability (P<0.05). The total indirect effect of social support on anxiety symptoms via family care and emotional management was significant (β=-0.137, 95%CI: -0.167 to -0.109), and the direct effect of social support on anxiety symptoms remained significant (P<0.05). Family care and emotional management served as significant chain mediators in the relationship between social support and anxiety symptoms (β=-0.025,95%CI:-0.032 to -0.018), accounting for 14.5% of the total effect. CONCLUSIONS Social support can directly affect anxiety symptoms among rural primary school students and can also indirectly influence anxiety symptoms through the chain mediating effects of family care and emotional management. These findings provide scientific evidence for the prevention of anxiety in primary school students from multiple perspectives.
Humans ; Female ; Male ; Social Support ; Anxiety/etiology* ; Child ; Students/psychology* ; Emotions ; Logistic Models

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment