Objective:To detect the expression levels of long non-coding RNAs(lncRNA)in elderly patients with pulmonary tuberculosis(PTB)and those with non-tuberculous lung diseases(non-TB), and to assess the performance of these lncRNA in the differential diagnosis of PTB.Methods:A total of 300 elderly patients with suspected PTB were recruited from Beijing Chest Hospital between January 2024 and September 2024, and were further divided into the PTB group and the non-TB lung disease group based on the results of mycobacterium tuberculosis(MTB)pathogenicity testing.Peripheral blood mononuclear cells were isolated using a lymphocyte separation solution, and RNA was extracted using the TRIzol method.Nine lncRNAs, previously identified as differentially expressed in PTB through our group's microarray analysis, were selected and detected by real-time fluorescence quantitative polymerase chain reaction to evaluate the expression levels of these lncRNAs between the PTB and non-TB lung disease groups.The overall patients were randomly divided into training and validation sets in a 7∶3 ratio.Lasso regression was employed to select the characteristic variables, and a random forest algorithm was then used to construct the lncRNA diagnostic portfolio.Receiver operating characteristic(ROC)curves were generated to evaluate the diagnostic performance of individual lncRNAs and the combined panel in differentiating elderly patients with PTB from those with other non-TB lung diseases.Results:A total of 201 cases were included, with 105 confirmed elderly patients diagnosed with PTB(52.2%)and 96 elderly patients suffering from non-TB lung disease(47.8%).Compared to the elderly patients with non-TB lung disease, the expression levels of ENST00000417346.1, ENST00000620744.1, lncRNA PWP1, ENST00000583184.1, lncRNA ABHD17B, ENST00000607464.1, ENST00000516057.1, and NR_003000 were significantly downregulated in the PTB patients, whereas the expression level of lncRNA BCL2L10 was significantly upregulated in the PTB patients.ROC analysis revealed that the area under the curve(AUC)for each lncRNA ranged from 0.659 to 0.848.The diagnostic panel, which included NR_003000, ENST00000607464.1, ENST00000583184.1, and ENST00000620744.1 as determined by Lasso analysis, exhibited AUC values of 0.917 and 0.906 in the training and validation sets, respectively.The performance of this panel was superior to that of each individual lncRNA.Conclusions:The random forest model, which incorporates NR_003000, ENST00000607464.1, ENST00000583184.1, and ENST00000620744.1, demonstrates potential in differentiating between PTB and non-TB lung diseases.

ObjectiveTo investigate the effects of Chaihu and Longgu Mulitang （CLMT） on hippocampal neural damage in the mouse model of depression via the extracellular signal-regulated protein kinase （ERK）/cAMP-response element-binding protein （CREB） signaling pathway. MethodsSeventy-eight male C57BL/6 mice were randomly allocated into normal control， model， low/medium/high-dose （2.89， 5.78， and 11.56 g·kg^-1， respectively） CLMT， and paroxetine （10 mg·kg^-1） groups. A depression model was established by chronic unpredictable mild stress （CUMS） combined with social isolation. Behavioral tests were carried out to evaluate depressive-like behaviors. Hematoxylin-eosin staining and Nissl staining were performed to assess hippocampal morphology and neuronal damage. Immunofluorescence was employed to detect glial fibrillary acidic protein （GFAP） and ionized calcium-binding adapter molecule 1 （Iba1）. Real-time PCR was employed to measure the mRNA levels of ERK and CREB. Western blot was employed to determine the expression of ERK/CREB pathway proteins and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. Molecular Operating Environment （MOE） software was used for molecular docking to evaluate the interactions between CLMT components and target proteins. ResultsCompared with the normal control group， the model group showed decreased sucrose preference （P0.01）， increased tail-suspension immobility time （P0.01）， decreased activity in the central region of the open field test （P0.01）， and decreased activity in the middle and open-arm region of the elevated plus maze test （P0.01）. The hippocampal area in the model group showed wrinkled cells and a reduction in the number of cells， neurons with reduced sizes and Nissl bodies， enhanced fluorescence intensity of GFAP and Iba1 （P0.01）， and down-regulated expression of phosphorylated （p）-ERK， p-CREB， and BDNF （P0.05， P0.01） and mRNA levels of ERK and CREB （P0.01）. Compared with the model group， the CLMT group showed increased body weight （P0.05， P0.01）， restored cell morphology， with only a small number of ruptured cells， normal neuronal structure and morphology with obvious nuclei and abundant Nissl bodies， weakened fluorescence intensity of GFAP and Iba1 （P0.05， P0.01）， up-regulated mRNA levels of ERK and CREB （P0.05， P0.01） and protein levels of phosphorylated （p）-ERK， p-CREB， and BDNF in the hippocampal tissue （P0.05， P0.01）. The results of molecular docking indicated that nine active ingredients in CLMT had good binding affinity with ERK and CREB. ConclusionCLMT may ameliorate the hippocampal nerve injury in the mouse model of depression by regulating the ERK/CREB pathway.

Objective: To investigate the chemical compositions of Maxing Shigan Decoction (麻杏石甘汤, MXSGD) and elucidate its anti-influenza A virus (IAV) mechanism from prediction to validation. Methods: Ultra high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed to analyze the chemical compositions of MXSGD. Network pharmacology theories were used to screen and identify shared targets of both the potential targets of active ingredients of MXSGD and IAV. A protein-protein interaction (PPI) network was then constructed, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The binding stability between core bioactive compounds and key targets was validated by molecular docking and dynamic simulations. A total of 24 BALB/c mice were infected with IAV to build IAV mouse models. After successful modelling, the mouse models were randomly divided into model, MXSGD high-dose (2.8 g/kg), MXSGD low-dose (1.4 g/kg), and oseltamivir (20.14 mg/kg) groups, with an additional normal mice as control group (n = 6 per group). The treatments were administered by gavage daily between 8:00 a.m. and 10:00 a.m. for five consecutive days. Upon completion of the administration, the body weight ratio, lung index, protein content in the bronchoalveolar lavage fluid (BALF), and the levels of inflammatory factors including interleukin (IL)-6 and tumor necrosis factor (TNF)-α in mice were measured to preliminarily analyze the therapeutic efficacy of MXSGD against IAV infection. Furthermore, the expression levels of mechanistic target of rapamycin (mTOR), hypoxia inducible factor (HIF)-1α, and vascular endothelial growth factor (VEGF) proteins in the HIF-1 signaling pathway, which was enriched by network pharmacology, were detected by Western blot. Results: A total of 212 chemical components in MXSGD were identified by the UPLC-MS/MS method. These chemical components can be classified into 9 primary categories and 31 secondary categories. After intersecting the chemical component targets with IAV-related targets, a total of 567 potential MXSGD components targeting IAV were identified. The construction of PPI network and the results of both GO and KEGG enrichment analyses revealed that the anti-IAV effects of MXSGD were associated with multiple pathways, including apoptosis, TNF, HIF-1, and IL-17 signaling pathways. The results of molecular docking demonstrated that the binding energies between the core compound 1-methoxyphaseollin and key targets including HIF-1α, mTOR, and VEGF were all lower than – 5.0 kcal/mol. Furthermore, molecular dynamics simulations confirmed the structural stability of the resulting complexes. Animal experiments showed that compared with the normal controls, IAV-infected mice showed significantly reduced body weight ratio, markedly increased lung index, protein content in BALF, and the levels of inflammatory factors such as IL-6 and TNF-α (P < 0.01), thereby causing damage to the lung tissue; consequently, the expression levels of mTOR, HIF-1α, and VEGF proteins in the lung tissues of these mice were significantly elevated (P < 0.01). However, after MXSGD treatment, the mouse models presented a significant increase in body weight ratio, as well as marked decreases in lung index, protein content in BALF, and the levels of inflammatory factors including IL-6 and TNF-α (P < 0.01). Furthermore, the therapy alleviated IAV-induced injuries and significantly downregulated the expression levels of mTOR, HIF-1α, and VEGF proteins in lung tissues (P < 0.01 or P < 0.05). Conclusion MXSGD exerts anti-IAV effects through multi-component, multi-target, and multi-pathway synergism. Among them, 1-methoxyphaseollin is identified as a potential key component, which alleviates virus-induced lung injury and inflammatory response via the regulation of HIF-1 signaling pathway, providing experimental evidence for the clinical application of MXSGD.

Objective:To detect the expression levels of long non-coding RNAs(lncRNA)in elderly patients with pulmonary tuberculosis(PTB)and those with non-tuberculous lung diseases(non-TB), and to assess the performance of these lncRNA in the differential diagnosis of PTB.Methods:A total of 300 elderly patients with suspected PTB were recruited from Beijing Chest Hospital between January 2024 and September 2024, and were further divided into the PTB group and the non-TB lung disease group based on the results of mycobacterium tuberculosis(MTB)pathogenicity testing.Peripheral blood mononuclear cells were isolated using a lymphocyte separation solution, and RNA was extracted using the TRIzol method.Nine lncRNAs, previously identified as differentially expressed in PTB through our group's microarray analysis, were selected and detected by real-time fluorescence quantitative polymerase chain reaction to evaluate the expression levels of these lncRNAs between the PTB and non-TB lung disease groups.The overall patients were randomly divided into training and validation sets in a 7∶3 ratio.Lasso regression was employed to select the characteristic variables, and a random forest algorithm was then used to construct the lncRNA diagnostic portfolio.Receiver operating characteristic(ROC)curves were generated to evaluate the diagnostic performance of individual lncRNAs and the combined panel in differentiating elderly patients with PTB from those with other non-TB lung diseases.Results:A total of 201 cases were included, with 105 confirmed elderly patients diagnosed with PTB(52.2%)and 96 elderly patients suffering from non-TB lung disease(47.8%).Compared to the elderly patients with non-TB lung disease, the expression levels of ENST00000417346.1, ENST00000620744.1, lncRNA PWP1, ENST00000583184.1, lncRNA ABHD17B, ENST00000607464.1, ENST00000516057.1, and NR_003000 were significantly downregulated in the PTB patients, whereas the expression level of lncRNA BCL2L10 was significantly upregulated in the PTB patients.ROC analysis revealed that the area under the curve(AUC)for each lncRNA ranged from 0.659 to 0.848.The diagnostic panel, which included NR_003000, ENST00000607464.1, ENST00000583184.1, and ENST00000620744.1 as determined by Lasso analysis, exhibited AUC values of 0.917 and 0.906 in the training and validation sets, respectively.The performance of this panel was superior to that of each individual lncRNA.Conclusions:The random forest model, which incorporates NR_003000, ENST00000607464.1, ENST00000583184.1, and ENST00000620744.1, demonstrates potential in differentiating between PTB and non-TB lung diseases.

[Objective]To explore the role of estrogen and estrogen receptor (ER) in the pathogenesis and regulation of non-invasive fungal rhinosinusitis (NIFR).[Methods]Totally 60 patients with NIFS who met the inclusion criteria in Fuzhou Second General Hospital from November 2020 to November 2023 were selected as the NIFS group,while 30 healthy volunteers were recruited as the blank control group. Samples of each group were collected. The number of eosinophils and mast cells in each group were detected by HE staining;ER expression was detected by immunohistochemistry and immunofluorescence;mRNA expression levels of NF-κB,IKK and MASPIN were detected by qPCR;and protein expression levels of NF-κB,IKK and MASPIN were detected by immunohistochemistry and Western blot.[Results]In the NIFS group,the counts of eosinophils and mast cells were significantly increased respectively,compared with those in the control group,and the inter-group differences are statistically significant (P<0.01 and P<0.05,respectively). The Estrogen Receptor (ER) score in the NIFS group was significantly increased compared with that in the control group,and the inter-group differences are statistically significant (P<0.05). Additionally,the average high-density value in the NIFS group was significantly increased compared with that in the control group,and the inter-group differences are statistically significant (P<0.01). The expression levels of NF-κB,IKK,and MASPIN in the NIFS group were significantly increased respectively,compared with those in the control group,and the inter-group differences are statistically significant (P<0.01,P<0.05,and P<0.01,respectively). The mRNA expression levels of NF-κB,IKK,and MASPIN in the NIFS group were significantly increased,respectively,compared with those in the control group (P<0.01). Furthermore,the protein expression levels of NF-κB,IKK,and MASPIN in the NIFS group were increased,respectively,and the inter-group differences are statistically significant (P<0.01,P<0.01,and P<0.05,respectively).[Conclusion]Our results show that the significant increase in the number of eosinophils and mast cells,and in the expression levels of ER,NF-κB,IKK and MASPIN may indicate a significant increase in eosinophil and mast cell infiltration in ER positive patients,and suggest the involvement of estrogen and its receptors in the pathogenesis of NIFS.

Adrenal epithelioid sarcoma is very rare in clinic. A case of epithelioid sarcoma of the right adrenal gland was reported in this paper. After physical examination, the patient was found to have a mass in the right adrenal area and underwent right adrenalectomy. The postoperative pathological diagnosis was right adrenal epithelioid sarcoma. Two months after adrenalectomy, positron emission tomography computed tomography(PET/CT) noted recurrence at the tumor bed and multiple metastases.The patient underwent chemotherapy combined with immunotherapy. After 16 months of follow-up, the disease was stable.

Objective:To investigate the status of clinical nurses′ professional identity and disaster cognition during the post-disaster reconstruction, and to analyze the correlation between the two.Methods:With the convenient sampling method, the 346 nursing staff of the First Affiliated Hospital of Zhengzhou University participated in the disaster reconstruction for the survey, using the general questionnaire, the nurse professional identity scale, the disaster cognition questionnaire for investigation. Pearson correlation was used to analyze the correlation between disaster cognition and professional identity.Results:The disaster cognition during the post-disaster needed to be improved, the choice rate of knowing disaster nursing well was 6.36%-70.23%. Gender had significant statistical significance on the scores of thinking the importance of disaster care training and willingness to join in disaster care continuing education ( t=-2.54 and -2.32, both P<0.05). Position had significant statistical significance on the score of willing to join in the enthusiasm of emergency rescue( F=6.62, P<0.05). Whether have ever participated in disaster training had significant statistical significance on the scores of focusing on the frequency of disasters and understanding the degree of disaster care ( t=5.57, 7.88, both P<0.05). Nurse professional identity level was high during the post-disaster reconstruction, the total score was (121.73 ± 19.75). Whether have ever participated in disaster training had significant statistical significance on the score of professional identity ( t=4.57, P<0.05). And the total score and each dimension score of disaster recognition were positively correlated with the total score and each dimension score of professional identity in nurses ( r values were 0.44-0.53, all P<0.05). Conclusions:The disaster cognition level is still lacking, the professional identity level is high. The disaster cognition affects professional identity levels to a certain extent, so nursing managers should improve the disaster recognition of nursing staff by making targeted strategy, which can not only improve the professional identity levels, but also reserve power for emergency disaster and post-disaster reconstruction reserves.

Objective:To understand the current state of financial toxicity and suicide risk in head and neck cancer patients, to investigate the correlation between the level of financial toxicity and suicide risk in head and neck cancer patients, and to provide a basis for reducing the level of financial toxicity and the risk of suicide in head and neck cancer patients.Methods:A cross-sectional survey was conducted, from March 1 to July 31, 2022, 150 head and neck cancer patients were selected from Oncology Department of East Hospital Affiliated to Tongji Universityby by convenient sampling method. The survey was carried out by means of the general questionnaire, Comprehensive Score for Financial Toxicity based on the Patient-Reported Outcome Measures (COST-PROM), Cancer Suicide Risk Scale (CSRS), and then analysis the datum.Results:The score of COST-PROM of 150 head and neck cancer patients was (18.00 ± 6.12) points, and the score of CSRS of head and neck cancer patients was (36.31 ± 8.51) points. The total score of economic toxicity was significantly negatively correlated with the total score of suicide risk and its dimensions ( r values were -0.446 to 0.235, all P<0.05). The total score of suicide risk was negatively correlated with the total score of economic toxicity and the scores of each dimension ( r values were -0.446 to -0.251, all P<0.05). Conclusions:Patients with head and neck cancer were at higher risk of suicide, and financial toxicity was a significant contributing factor to suicide risk, with higher levels of financial toxicity associated with a higher risk of suicide. Reducing the level of financial toxicity in patients with head and neck cancer has important implications for reducing their risk of suicide.

Purpose: Mixed-lineage leukemia protein 4 (MLL4/KMT2D) is a histone methyltransferase, and its mutation has been reported to be associated with a poor prognosis in many cancers, including lung cancer. We investigated the function of MLL4 in lung carcinogenesis. Materials and Methods: RNA sequencing (RNA-seq) in A549 cells transfected with control siRNA or MLL4 siRNA was performed. Also, we used EdU incorporation assay, colony formation assays, growth curve analysis, transwell invasion assays, immunohistochemical staining, and in vivo bioluminescence assay to investigate the function of MLL4 in lung carcinogenesis. Results: We found that MLL4 expression was downregulated in non–small cell lung cancer (NSCLC) tissues compared to adjacent normal tissues and tended to decrease with disease stage progression. We analyzed the transcriptomes in control and MLL4- deficient cells using high-throughput RNA deep sequencing (RNA-seq) and identified a cohort of target genes, such as SOX2, ATF1, FOXP4, PIK3IP1, SIRT4, TENT5B, and LFNG, some of which are related to proliferation and metastasis. Our results showed that low expression of MLL4 promotes NSCLC cell proliferation and metastasis and is required for the maintenance of NSCLC stem cell properties. Conclusion Our findings identify an important role of MLL4 in lung carcinogenesis through transcriptional regulation of PIK3IP1, affecting the PI3K/AKT/SOX2 axis, and suggest that MLL4 could be a potential prognostic indicator and target for NSCLC therapy.

Objective:To systematically evaluate the efficacy of different kinds of smoking cessation drugs by network Meta-analysis.Methods:Literature was retrieved from PubMed, Web of Science, Embase, Cochrane Library, CBM, CNKI, VIP, Wan fang database, from the establishment of the database to November 2022, and randomized controlled trials (RCT) about bupropion, varenicline, nicotine replacement therapy (NRT) versus placebo in the treatment of smoking patients were collected. After data extraction from included literature which met inclusion criteria, and quality evaluation with Cochrane 5.1 risk bias evaluation tool, network Meta-analysis was performed by Stata15.1 software.Results:A total of 19 RCTs, involving 6106 patients and three interventions measures (bupropion, varenicline, NRT) and one control measure (placebo) were included. The results of network Meta-analysis showed that in terms of short-term abstinence rate, varenicline [ OR=4.21, 95% CI (2.32, 7.63)], bupropion [ OR=2.81, 95% CI(1.05, 7.54)] were better than placebo ( P<0.05). The surface under the cumulative ranking area (SUCRA): varenicline (90.2%)>bupropion (64.8%)>NRT (41.7%)>placebo (3.2%). In terms of the long-term abstinence rate, varenicline [ OR=3.06, 95% CI (1.59, 5.90)], NRT [ OR=3.39, 95% CI (2.20, 5.21)] were better than placebo ( P<0.05). SUCRA: varenicline (83.8%)>NRT (73.9%)>bupropion (37.2%)>placebo (5.2%). Conclusion:The existing evidence shows that compared with bupropion, NRT, varenicline has the best effect on quitting smoking, but more high-quality randomized trial evidence is needed for verification.