ObjectiveTo clarify the expression of TRIM28 in non-M3 acute myeloid leukemia （AML） and its correlation with clinical indicators and prognosis， and to further explore the effect of TRIM28 expression levels on the proliferation and apoptosis of AML cells using small interfering RNA. MethodsThe GSE34577 dataset was analyzed using R software to compare TRIM28 expression between healthy controls and non-M3 acute myeloid leukemia （AML） patients. Clinical samples from non-M3 AML patients were collected， with TRIM28 expression levels measured using real-time quantitative PCR （qPCR）. The analysis focused on correlations between TRIM28 expression and various clinical indicators， treatment efficacy， and patient prognosis. Furthermore， small interfering RNA （siRNA） technology was employed to downregulate TRIM28 expression in human primary AML cells （HL60 cell line）. The effects on cell proliferation and apoptosis were then assessed through CCK-8 assays and flow cytometry， respectively. ResultsThe results showed that TRIM28 was up-regulated in non-M3 AML of both online database GSE34577 and clinical samples （P<0.000 1）， TRIM28 expression of new diagnosis group and relapsed refractory group was higher than iron deficiency anemia group （P<0.01）， and there was no significance between different French-American-British classification systems subtype. TRIM28 expression was higher in non-M3 AML patients with a poor genetic prognosis stratified as moderate than in the good prognosis group， and TRIM28 expression was associated with NPM1 combined with the FLT3-ITD mutation， positively correlated with age， bone marrow blast， peripheral blood blast and white blood cell， negatively correlated with hemoglobin. In addition， interference TRIM28 greatly inhibited cell proliferation and promoted cell apoptosis. ConclusionThis study reveals that TRIM28 is highly expressed in non-M3 AML and associated with prognosis， and plays a key role in the proliferation and apoptosis of AML cells， suggesting that TRIM28 may serve as a novel therapeutic target for non-M3 AML.

Background: Malignant pleural effusion (MPE), a common complication of advanced cancers, is associated with poor prognosis and reduced quality of life. Although host–tumor interactions are known to drive MPE development, the associated immune dynamics during disease progression remain unclear. Using a Lewis lung carcinoma-induced MPE model in C57BL/6JNidfc mice, we systematically evaluated general parameters and immune cell changes at two-day intervals throughout disease progression. Results: The day of Lewis lung carcinoma cell injection into the pleural space was designated as day 0. By day 10 post-injection (p.i.), MPE-bearing mice exhibited ~ 10% body weight loss, marking the experimental endpoint. Pleural tumor mass and pleural effusion volume were minimal up to day 4 p.i. but increased sharply from day 6 onward.CD45⁺ immune cell counts rose over time, and days 6, 8, and 10 p.i. marked key stages of MPE progression. On day 6, B cells, T cells, and natural killer cells, but not macrophages and neutrophils, increased significantly compared to earlier timepoints. By day 8, all immune cell subsets except T cells exceeded day 6 levels, and at day 10, natural killer cell numbers declined while others continued to increase. Besides, the numbers of CD8⁺ T cells, Th1 cells, regulatory T cells, and M2 macrophages progressively increased from day 6 to 10. Based on these data, days 6 and 10 were defined as early and advanced MPE stages, respectively, with distinct immune phenotypes. In advanced MPE, CD8⁺ T cells displayed reduced IFN-γ, TNF-α, Granzyme B, Perforin, FasL, and Ki-67, but upregulated PD-1 and CTLA-4 relative to early stage. Similarly, Th1 cells showed decreased IFN-γ, TNF-α, and IL-2 production along with reduced Ki-67 expression. Advanced-stage M2 macrophages exhibited lower MHC-II levels and impaired phagocytosis, but higher PD-L1 and IL-10 production, while neutrophils showed reduced TNF-α release and phagocytic activity. Conclusions Our findings characterize the temporal immune dynamics associated with MPE progression in a mouse model, revealing a transition from an early immunostimulatory state to a late immunosuppressive state. This study enhances our understanding of MPE immunopathogenesis and provides a foundation for developing precise, stagespecific therapeutic strategies.

The surgical management of empyema (excluding those caused by mycobacterium tuberculosis and non-tuberculous mycobacteria) is rapidly evolving towards minimally invasive, precise, and stepwise approaches. The traditional three-stage classification (exudative, fibrinopurulent, and organizing) has limitations in guiding dynamic clinical decision-making. For the first time, this consensus explicitly identifies two critical junctures in the pathological progression of empyema: "early transformation" (stage Ⅰ to Ⅱ) and "late transformation" (stage Ⅱ to Ⅲ), and thereby constructs a corresponding "identification-early warning-intervention" stepwise therapeutic framework. The consensus emphasizes that proactive debridement via video-assisted thoracoscopic surgery should be performed during the early transformation phase to halt disease progression. Conversely, during the late transformation phase, therapeutic goals should be rationally adjusted to prioritize adequate drainage, avoiding futile pleural decortication. Moreover, the consensus underscores the pivotal role of precise perioperative etiological diagnosis (e.g. metagenomic nest-generation sequencing) and standardized anti-infective therapy. Integrating practical experiences from multiple thoracic surgery centers in China and relevant evidence-based literature, this consensus formulates recommendations on the precise definitions of staging, surgical indications for each phase, key technical points, perioperative management, and training systems. It aims to promote the standardized and individualized surgical management of empyema, ultimately optimizing patient prognosis.

Objective To investigate the diagnosis and treatment of 2 cases with spontaneous renal vascular rupture, and discuss the possible causes and treatment methods of this disease. Methods The clinical data and treatment methods of the 2 patients with spontaneous renal vascular rupture treated with renal artery embolization in Universal Global Xi'an Beihuan Hospital were analyzed. Relevant literature was reviewed to summarize the possible causes of this condition. Results The patients had no obvious history of trauma and no obvious abnormal coagulation function, and sought treatment due to sudden lumbar and abdominal pain. Laboratory tests revealed significantly decreased hemoglobin level, and elevated blood glucose (27.8, 27.6mmol/L). Abdominal computed tomography (CT) indicated perirenal hematoma and active bleeding. The bleeding arteries were located at the terminal branches of the anterior renal artery. Precise embolization was performed using CT angiography and selective renal artery angiography plus embolization, achieving an immediate hemostasis success rate of 100%. Postoperative hemoglobin level stabilized, and follow-up CT scans showed significant absorption of the perirenal hematoma without significant deterioration of renal function. Based on literature review and case analysis, the possible cause of spontaneous renal vascular rupture in these two patients was renal vascular sclerosis due to long-term diabetes. Other common etiologies of this condition included renal tumor, vascular malformation, and hypertension. Conclusion Spontaneous renal vascular rupture is rare. Renal artery embolization, as aminimally invasive treatment, can effectively control bleeding and protect renal function. The specific pathogenesis of this condition still requires further investigation. Long-term diabetes mellitus with poor blood glucose control may be associated factors, but more evidence is needed.

To explore the in vitro and in vivo synergistic effect of paclitaxel in combination with co-listin against MDREscherichia coli(E.coli)and the corresponding mechanism of synergism,we measured the MICs of PTX alone and combination of PTX+antimicrobial drugs on E.coli and Staphylococcus aureus(S.aureus)by broth microdilution method.Then,checkerboard method was used to determine the FICI of PTX+COL combination,and the antibacterial synergies of PTX and COL was further explored through analyzing the membrane permeability and efflux pump ac-tivity.The MICs results showed that the MIC values of PTX alone against E.coli(G5,E25)and S.aureus S238 were＞1 024 mg/L and 512 mg/L,respectively.Meanwhile,we found that the anti-bacterial activity of COL against E.coli could be significantly enhanced(MIC decreased by 4 to 8 times)when used in combination with PTX.The checkerboard test showed that the FICI values of PTX combined with COL for E.coli(G5,E25)were 0.31 and 0.29,respectively,indicating a synergistic antibacterial effect on these strains.The FICI values of PTX combined with COL for E.coli G21,S.aureus(S237 and S238)were 0.51,0.75 and 0.53,respectively,indicating additive effects on these strains.In the mouse abdominal infection model,the combination group could ex-tremely significantly reduce the bacterial burden of E.coli in abdominal compared to the COL or PTX alone group(P＜0.001).The analysis of membrane permeability and efflux pump activity showed that PTX combined with COL significantly increased the inner and outer membrane per-meability of E.coli(G5 and E25),and markedly inhibited the efflux pumping activity of E.coli,when compared that of PTX and COL alone(P＜0.01).The above results indicated that the com-bination of PTX and COL could exert a synergistic in vivo and in vitro antibacterial effect on COL-resistant E.coli through increasing bacterial membrane permeability and inhibiting efflux pump activity.This study provides the theoretical foundation for the development of a novel combi-nation regimen for the treatment of MDR E.coli infection.

To investigate the effects of plasma exosomes from sheep on animal hair growth,exo-somes were extracted from two sheep breeds with significant differences in wool fineness(Xinji Fine-wool sheep and Small-tailed Han sheep)using biphasic precipitation.The exosomes were characterized by transmission electron microscopy(TEM)and nanoparticle tracking analysis(NTA).A murine alopecia areata model was established,followed by subcutaneous injection of ex-osomes for 7 consecutive days.Dorsal skin samples were collected on day 10 post-injection for his-tological analysis via hematoxylin-eosin(HE)staining.miRNA and mRNA libraries were constructed through qPCR,while TargetScan and g:Profiler were employed for target gene predic-tion and KEGG enrichment analysis,respectively.Protein-protein interaction(PPI)networks were analyzed using STRING to identify key miRNA-mRNA targets,which were preliminarily validated by qPCR.Results demonstrated that on day 5 post-injection,the Small-tailed Han sheep plasma ex-osome group(SPE)exhibited more melanin deposition spots compared to the Xinji Fine-wool sheep plasma exosome group(XPE),with XPE showing greater melanin spots than the control group(NC).Histological analysis revealed that XPE group displayed significantly fewer hair folli-cles compared to SPE and NC groups(P＜0.01),while SPE group exhibited significantly larger hair follicle diameters than both XPE and NC groups(P＜0.01).Bioinformatics analysis predicted 357,711,477,346,and 3 178 target genes for miR-150,miR-133b,miR-31-5p,miR-433-3p,and miR-218,respectively,with 508 genes being co-regulated by two or more miRNAs.PPI analysis i-dentified 217 genes involved in positive regulation of cellular processes,109 in developmental regu-lation,133 in cellular development,132 in cell differentiation,and 69 in regulation of cell differenti-ation.Target genes were found to regulate hair follicle growth through Wnt signaling via Frizzled receptor binding and downstream pathways involving calmodulin(CaM)and cyclic-AMP response binding protein(CREB).qPCR validation showed significantly higher relative expression levels of miR-218,miR-150,miR-31-5p,miR-133b,and miR-433-3p in SPE and XPE groups compared to NC,with SPE exhibiting greater expression than XPE.Additionally,significant differences in FZD4,WNT4,CREB1,and FZD3 expression were observed between treatment groups and NC.These findings demonstrate that plasma exosomes from Xinji Fine-wool and Small-tailed Han sheep modulate hair growth by altering miRNA-mRNA expression profiles in skin tissues.

Objective:To study the lipid metabolism and its relationship with iodine nutrition status in patients with papillary thyroid carcinoma (PTC) and benign thyroid nodules.Methods:A case-control study was conducted on patients with thyroid nodules initially diagnosed at Harbin Medical University Cancer Hospital from November 2015 to April 2019. Basic information, thyroid function indicators [thyroid stimulating hormone (TSH), free triiodothyronine (FT 3), free thyroxine (FT 4), thyroglobulin antibodies (TgAb), thyroid peroxidase antibodies (TPOAb)], and pathological diagnosis results were collected from all subjects. Fasting venous blood and morning urine samples were collected for serum iodine concentration (SIC), urine iodine concentration (UIC) and blood lipid indicators [total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), lipoprotein (a), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), apolipoprotein E (ApoE), and non-esterified fatty acid (NEFA)] measurements. Results:A total of 1 090 subjects were included, including 907 PTC patients and 183 benign thyroid nodule patients. The UIC [ M ( Q1, Q3)] for the PTC group and benign thyroid nodule group were 143.36 (94.08, 227.94) and 146.28 (112.89, 236.07) μg/L, respectively, with statistically significant differences between the groups ( Z = 4.16, P = 0.042). Among PTC patients with different clinical pathological features, those with lymph node metastasis had higher FT 3 levels than those without lymph node metastasis ( t = 5.42, P = 0.021). The levels of TSH, TgAb, and TPOAb in patients with PTC combined with autoimmune thyroid disease (AITD) were higher than those without AITD ( Z = 11.87, 81.55, 475.96, P < 0.05). There was no statistically significant difference in the comparison of various blood lipid indicators ( P > 0.05). The correlation analysis showed that SIC in patients with thyroid nodules was positively correlated with FT 3, FT 4, ApoB, lipoprotein (a), NEFA, TG, LDL-C, and LDL-C/HDL-C ( P < 0.05). FT 3 was positively correlated with NEFA and LDL-C/HDL-C ( r = 0.12, 0.09, P < 0.05), and negatively correlated with ApoA1, TC, and HDL-C ( r = - 0.14, - 0.14, - 0.15, P < 0.001). FT 4 was positively correlated with NEFA ( r = 0.11, P < 0.001), and negatively correlated with TG ( r = - 0.10, P = 0.003). According to the iodine nutritional level, the ApoE level of PTC patients in the SIC < 45 μg/L group was higher than that in the 45 - 90 μg/L group ( P < 0.05). The levels of LDL-C and ApoB in patients with benign thyroid nodules in the SIC > 90 μg/L group were higher than those in the 45 - 90 μg/L group ( P < 0.05). The ApoE level of patients with benign thyroid nodules in the UIC < 100 μg/L group was significantly higher than that in the 100 - 299 and ≥300 μg/L groups ( P < 0.05). There was no statistically significant difference in thyroid function indicators of patients with PTC and benign thyroid nodules between different levels of SIC and UIC ( P > 0.05). Conclusions:Compared to benign thyroid nodules, PTC does not significantly affect patients' blood lipid levels. In patients with PTC and benign thyroid nodules, insufficient or excessive iodine nutrition can affect lipid metabolism.

18F-deoxyglucose(FDG)PET/CT has been widely used in the diagnosis,efficacy evaluation,and prognosis prediction of lung tumor.In recent years,artificial intelligence has shown increasing capabilities in the analysis and processing of medical images and has influenced various aspects of molecular imaging,at the same time,radiomics analysis based on artificial intelligence has received great attention in recent years.This article reviews the latest research progress of artificial intelligence in optimizing 18F-FDG PET/CT lung tumor images,explores the new developments and challenges of artificial intelligence in image acquisition,reconstruction,segmentation,denoise,radiomics,etc.,and looks forward to its future applications in lung tumor.

Objective:To study the lipid metabolism and its relationship with iodine nutrition status in patients with papillary thyroid carcinoma (PTC) and benign thyroid nodules.Methods:A case-control study was conducted on patients with thyroid nodules initially diagnosed at Harbin Medical University Cancer Hospital from November 2015 to April 2019. Basic information, thyroid function indicators [thyroid stimulating hormone (TSH), free triiodothyronine (FT 3), free thyroxine (FT 4), thyroglobulin antibodies (TgAb), thyroid peroxidase antibodies (TPOAb)], and pathological diagnosis results were collected from all subjects. Fasting venous blood and morning urine samples were collected for serum iodine concentration (SIC), urine iodine concentration (UIC) and blood lipid indicators [total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), lipoprotein (a), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), apolipoprotein E (ApoE), and non-esterified fatty acid (NEFA)] measurements. Results:A total of 1 090 subjects were included, including 907 PTC patients and 183 benign thyroid nodule patients. The UIC [ M ( Q1, Q3)] for the PTC group and benign thyroid nodule group were 143.36 (94.08, 227.94) and 146.28 (112.89, 236.07) μg/L, respectively, with statistically significant differences between the groups ( Z = 4.16, P = 0.042). Among PTC patients with different clinical pathological features, those with lymph node metastasis had higher FT 3 levels than those without lymph node metastasis ( t = 5.42, P = 0.021). The levels of TSH, TgAb, and TPOAb in patients with PTC combined with autoimmune thyroid disease (AITD) were higher than those without AITD ( Z = 11.87, 81.55, 475.96, P < 0.05). There was no statistically significant difference in the comparison of various blood lipid indicators ( P > 0.05). The correlation analysis showed that SIC in patients with thyroid nodules was positively correlated with FT 3, FT 4, ApoB, lipoprotein (a), NEFA, TG, LDL-C, and LDL-C/HDL-C ( P < 0.05). FT 3 was positively correlated with NEFA and LDL-C/HDL-C ( r = 0.12, 0.09, P < 0.05), and negatively correlated with ApoA1, TC, and HDL-C ( r = - 0.14, - 0.14, - 0.15, P < 0.001). FT 4 was positively correlated with NEFA ( r = 0.11, P < 0.001), and negatively correlated with TG ( r = - 0.10, P = 0.003). According to the iodine nutritional level, the ApoE level of PTC patients in the SIC < 45 μg/L group was higher than that in the 45 - 90 μg/L group ( P < 0.05). The levels of LDL-C and ApoB in patients with benign thyroid nodules in the SIC > 90 μg/L group were higher than those in the 45 - 90 μg/L group ( P < 0.05). The ApoE level of patients with benign thyroid nodules in the UIC < 100 μg/L group was significantly higher than that in the 100 - 299 and ≥300 μg/L groups ( P < 0.05). There was no statistically significant difference in thyroid function indicators of patients with PTC and benign thyroid nodules between different levels of SIC and UIC ( P > 0.05). Conclusions:Compared to benign thyroid nodules, PTC does not significantly affect patients' blood lipid levels. In patients with PTC and benign thyroid nodules, insufficient or excessive iodine nutrition can affect lipid metabolism.

18F-deoxyglucose(FDG)PET/CT has been widely used in the diagnosis,efficacy evaluation,and prognosis prediction of lung tumor.In recent years,artificial intelligence has shown increasing capabilities in the analysis and processing of medical images and has influenced various aspects of molecular imaging,at the same time,radiomics analysis based on artificial intelligence has received great attention in recent years.This article reviews the latest research progress of artificial intelligence in optimizing 18F-FDG PET/CT lung tumor images,explores the new developments and challenges of artificial intelligence in image acquisition,reconstruction,segmentation,denoise,radiomics,etc.,and looks forward to its future applications in lung tumor.