BACKGROUND:U937 cells can be used as a cell model for studying the biological characteristics,signaling pathways,and therapeutic targets of acute myeloid leukemia.Although it has been reported that long non-coding RNA KIAA0125 is highly expressed in acute myeloid leukemia,its biological function in U937 cells remains unclear,and its mechanism of action in the occurrence and development of acute myeloid leukemia needs to be further clarified. OBJECTIVE:To investigate the expression level of long non-coding RNA KIAA0125 in peripheral blood of patients with acute myeloid leukemia and its effect on the proliferation and apoptosis of U937 cells. METHODS:RNA-sequencing was used to analyze the bone marrow monocyte samples from acute myeloid leukemia patients,and the differentially expressed gene long non-coding RNA KIAA0125 was screened.The expression of long non-coding RNA KIAA0125 in peripheral blood of patients with acute myeloid leukemia was detected by qRT-PCR.The relationship between long non-coding RNA KIAA0125 mRNA expression and prognosis in bone marrow cells of 173 acute myeloid leukemia patients and 70 healthy people was statistically analyzed by GEPIA database.Subsequently,recombinant lentivirus technology and CRISPR/Cas9-SAM technology were used to construct U937 cell lines with knockdown/overexpression of long non-coding RNA KIAA0125.qRT-PCR was used to detect the knockdown/overexpression efficiency of long non-coding RNA KIAA0125.Next,CCK-8 assay,flow cytometry,and western blot assay were used to detect the effects of knockdown/overexpression of long non-coding RNA KIAA0125 on the proliferation and apoptosis of U937 cells.Finally,western blot assay was used to detect the effect of knockdown/overexpressed long non-coding RNA KIAA0125 on Wnt/β-catenin signaling pathway-related proteins. RESULTS AND CONCLUSION:(1)The results of qRT-PCR showed that long non-coding RNA KIAA0125 was highly expressed in peripheral blood of acute myeloid leukemia patients.The results of GEPIA database showed that long non-coding RNA KIAA0125 was highly expressed in bone marrow cells of acute myeloid leukemia patients,and the high expression group had worse overall survival.(2)The knockdown efficiency of long non-coding RNA KIAA0125 in knockdown group was 70%,and the U937 cells that stably down-regulated long non-coding RNA KIAA0125 expression were successfully constructed.The expression of long non-coding RNA KIAA0125 in overexpression group was four times that of vector group,and stable U937 cells were successfully constructed.(3)Knockdown of long non-coding RNA KIAA0125 inhibited the proliferation of U937 cells and promoted their apoptosis.Overexpression of long non-coding RNA KIAA0125 promoted the proliferation of U937 cells but had no significant effect on the apoptosis of U937 cells.(4)Knockdown of long non-coding RNA KIAA0125 inhibited the activity of Wnt/β-catenin signaling pathway,while overexpression of long non-coding RNA KIAA0125 activated Wnt/β-catenin signaling pathway.These results confirm that long non-coding RNA KIAA0125 is highly expressed in acute myeloid leukemia peripheral blood.Long non-coding RNA KIAA0125 may affect the proliferation and apoptosis of U937 cells by regulating the Wnt/β-catenin signaling pathway,and may be a potential prognostic marker for acute myeloid leukemia.

Objective To understand the molecular characteristics of Streptomycin(SM)resistance in multidrug-resistant tuberculosis(MDR-TB)in Jiangxi Province,and to explore the relationship between SM resistant genes(rpsL,rrs and gidB)mutations and SM resistant phenotypes in Beijing genotype TB.Methods 106 non-replicated MDR-TB isolates were collected from Gaoxin Branch of The First Affiliated Hospital of Nanchang University and Jiangxi Provincial Chest Hospital from January to December 2021,and tested for drug-resistance phenotypes,whether they were Beijing genotype or not and the characteristics of rpsL,rrs and gidB gene mutations.Chi-square test was performed to determine whether rpsL,rrs and gidB mutations were related to genotypes and drug-resistance phenotypes.Results Among 106 cases of MDR-TB,76 cases were resistant to SM.A total of 58 cases had rpsL 43A>G mutation,8 cases had 88A>G mutation,5 cases had rrs mutation,and 3 cases had gidB mutation.Statistical analysis showed that the coincidence rate of gene mutation and phenotypic drug-resistance detection was 89.6%,and the specificity and sensitivity were 86.7%and 90.8%,respectively.The isolated rate of Beijing genotype TB was 88.7%,and the drug-resistant gene mutations were mainly concentrated in rpsL and rrs,while the drug-resistant mutations of non-Beijing genotype were mainly concentrated in gidB;in addition,Beijing genotype bacteria were more prone to gene mutations(P = 0.013),but there was no difference in phenotypic drug-resistance.Conclusions Mutations in rpsL,rrs,and gidB genes have a good coincidence rate with phenotypic drug-resistance,and molecular biology can be used to detect directly drug-resistance genes to predict bacterial resistance;TB genotypes are strongly associated with streptomycin resistance characteristics.

BACKGROUND:Myelodysplastic syndrome has worse hazards of acute myeloid leukemia transformation,and some studies have revealed that immune infiltration plays a vital part in the two.Nevertheless,more studies are required to confirm the relationship between immune infiltration and related differentially expressed gene regulation. OBJECTIVE:To screen the differentially expressed genes with prognostic significance between myelodysplastic syndrome and acute myeloid leukemia by bioinformatics analysis and explore the possible roles and mechanisms among these differentially expressed genes and immune infiltration mechanisms in the occurrence and progression of diseases. METHODS:The differentially expressed genes were screened for bioinformatics analysis using the GEO datasets,and analyzed by DO,GO,KEGG and GSEA.The TCGA prognostic database was used to plot the K-M curves of differentially expressed genes and receiver operating characteristic curve analysis was applied to evaluate the clinical diagnostic performance.Finally,CIBERSORT analysis was used to intuitively demonstrate the correlation between critical prognostic genes and the distribution of immuno-infiltrated cells.RT-qPCR was employed to detect peripheral blood samples from healthy controls,myelodysplastic syndrome and acute myeloid leukemia patients so as to verify the crucial genes preliminarily. RESULTS AND CONCLUSION:(1)A total of 150 differentially expressed genes were obtained between myelodysplastic syndrome and acute myeloid leukemia,among which 16 genes were up-regulated and 134 were down-regulated.(2)The results of DO,GO,KEGG and GSEA analysis suggested that differentially expressed genes might promote the development of myelodysplastic syndrome to acute myeloid leukemia by regulating the immune response.CIBERSORT revealed the differences in immune infiltration between myelodysplastic syndrome and acute myeloid leukemia.The distribution of CD4+ T cells,monocytes,neutrophils and M1 macrophages decreased in acute myeloid leukemia patients.In contrast,the distribution of inflammatory suppressor cells M2 macrophages increased,suggesting that it may be related to the immunosuppression of acute myeloid leukemia.(3)K-M curve and receiver operating characteristic curve analysis of 150 differentially expressed genes screened out four genes relevant to immunity and prognosis with good diagnostic performance:MANSC1,FLT3,BMX and CXCR2.(4)The results of RT-qPCR exhibited that MANSC1,BMX and CXCR2 were low expressed,while FLT3 was highly expressed in acute myeloid leukemia patients.These findings verify that the differential expression of MANSC1,FLT3,BMX and CXCR2 in patients with myelodysplastic syndrome and acute myeloid leukemia is not only significantly correlated with the prognosis of patients but may also affect the occurrence and development of myelodysplastic syndrome and acute myeloid leukemia by regulating the immune infiltration of patients.They can be used as potential biomarkers and therapeutic targets of the transformation from myelodysplastic syndrome to acute myeloid leukemia,providing a new direction for clinical diagnosis and treatment of the transformation of myelodysplastic syndrome.

Objective:To investigate the variations in infrared radiation at Taichong(LR3),Taixi(KI3),and control points before and after menstruation and to examine the infrared radiation patterns associated with Yuan-primordial points of Zang-Fu organs during the physiological menstrual cycle. Methods:Using a point infrared radiation spectrum detection system,we detected the infrared radiation spectra of Taichong(LR3),Taixi(KI3),and the control points located 1 cm away from the two points,in a range of 1.50-18.00 μm wavelengths during the premenstrual,menstrual,and postmenstrual phases in 32 healthy adult women.Subsequently,data mining and analysis were conducted. Results:Before,during,and after menstruation,the infrared spectral shapes of bilateral Taichong(LR3),Taixi(KI3),and their control points were generally consistent,with characteristic infrared spectral wavelengths located at 11.25 μm.Prior to menstruation,the total intensity of infrared radiation at the right Taixi(KI3)was significantly lower than that at the control point(P<0.05),and that at the left Taichong(LR3)was significantly lower than that at the control point(P<0.01).During and after menstruation,the total infrared radiation intensity at both Taixi(KI3)was significantly lower than that of the control point(P<0.05).The wavelength points exhibiting significant differences in the infrared radiation intensity between points and control points were concentrated at the primary peak of 7.50-14.25 μm and the secondary peak of 15.00-17.25 μm. Conclusion:During different menstrual phases,the infrared radiation spectra of Taichong(LR3)and Taixi(KI3)exhibited distinct point specificity,mainly evident in the infrared radiation intensity and wavelength.

ObjectiveTo explore the efficacy-driving mechanism of Danhong injection （DHI） in the treatment of stable angina pectoris （SAP） based on the composition-activity relationship of target modules and clarify the pharmacological effects of DHI. MethodAccording to the angina frequency （AF） in the Seattle Angina Questionnaire （SAQ） that was obtained in the previous clinical trial， the patients before and after DHI treatment were grouped based on efficacy. The transcriptomic data of the patients before treatment and in the best efficacy group 30 days post-treatment were selected as the data source， and then weighted gene co-expression network analysis （WGCNA） was employed to construct the co-expression network. Relevant modules in the network were identified and associated with clinical features. In addition， the On-modules （Z value below 0） were identified by Zsummary. The topological indicators such as density， centrality， and clustering coefficient were adopted to explore the dynamics of DHI efficacy at the network level and module level， respectively. In addition， the driver genes were screened by the personalized network control （PNC） algorithm. Finally， rat H9C2 cells were used to establish the model of hypoxia/reoxygenation （H/R）， which was used to confirm the potential therapeutic target of DHI for SAP and provide a scientific basis for revealing the therapeutic mechanism of DHI. ResultWe identified 19 modules in the best efficacy group of DHI for SAP， and the comparison between day 0 and day 30 revealed 12 On-modules. The changes of network topological indicators at the network and module levels confirmed the correlation between the best efficacy of DHI treatment and topological dynamics. Finally， the driver genes， Klotho and fibroblast growth factor 22 （FGF22）， in DHI treatment of SAP were verified by the H9C2 cell model of H/R. ConclusionBased on clinical transcriptome data， this study determined the composition-activity relationship of target modules of DHI for SAP， which provided a scientific basis for deciphering the efficacy-driven mechanism of DHI for SAP.

Methods: Study participants were recruited from Shuguang East Hospital, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, and Shanghai Municipal Hospital of Traditional Chinese Medicine, affiliated with Shanghai University of Traditional Chinese Medicine, from April 15 to September 15, 2021. They were categorized into three groups: healthy controls (Group 1), CHD patients without a history of ischemic stroke (Group 2), and CHD patients with a history of ischemic stroke (Group 3). The wrist pulse signals of the study participants were non-invasively collected using a pulse diagnosis instrument. The linear time-domain features and nonlinear time-series multiscale entropy (MSE) features of the pulse signals were extracted using time-domain analysis and the MSE methods, which were subsequently compared between groups. Based on these extracted features, a recognition model was developed using a random forest (RF) algorithm. The classification performance of the models was evaluated using metrics, including accuracy, precision, recall, and F1-score derived from confusion matrix as well as the area under the receiver operating characteristics (ROC) curve (AUC). Results: A total of 189 participants were enrolled, with 63 in Group 1, 61 in Group 2, and 65 in Group 3. Compared with Group 1, Group 2 showed significant increases in pulse features H2/H1, H3/H1, W1, W2, and W2/T, and decreased in MSE1 – MSE7 (P < 0.05), while Group 3 showed significant increases in pulse features T5/T4, T, H1/T1, W1, W2, AS, and Ad, and decreased in MSE1 – MSE20 (P < 0.05). Compared with Group 2, Group 3 demonstrated notable increases in H1/T1 and As (P < 0.05). The RF model achieved precision of 80.00%, 61.54%, and 61.54%, recall of 74.29%, 60.00%, and 68.97%, F1-scores of 70.04%, 60.76%, and 65.04%, and AUC values of 0.92, 0.74, and 0.81 for Groups 1, 2, and 3, respectively. The overall accuracy was 67.69%, with micro-average AUC of 0.83 and macro-average AUC of 0.82. Conclusion Differences in pulse features reflect variations in arterial compliance, peripheral resistance, cardiac afterload, and pulse signal complexity among healthy individuals, CHD patients without a history of ischemic stroke, and those with such a history. The developed pulse-based recognition model holds the potential in distinguishing between these three groups, offering a novel diagnostic reference for clinical practice.

Objective To investigate the risk factors and prevention strategies of postoperative delirium in Stanford B aortic dissection. Methods Clinical data of the patients diagnosed with Stanford B aortic dissection and undergoing endovascular aortic repair from January 2020 to August 2021 in our department were retrospectively collected. Patients were divided into a non-delirium group and a delirium group according to the presence of postoperative delirium. The risk factors for postoperative delirium after Stanford type B aortic dissection and the protective effect of dexmedetomidine on delirium were analyzed. Results A total of 659 patients with Stanford type B aortic dissection were enrolled, including 540 males and 119 females with a median age of 58.00 (41.00, 75.00) years. There were 450 patients in the non-delirium group, and 209 patients in the delirium group. There was no statistical difference in gender, body mass index, hypertension, hyperlipidemia, smoking and drinking history, cholesterol triglyceride level, or creatinine glomerular filtration rate (P＞0.05). Age was an independent risk factor for postoperative delirium in Stanford type B aortic dissection (OR=1.392, 95%CI 1.008-1.923, P=0.044). Moreover, whether dexmedetomidine was used or not had no effect on the duration of postoperative delirium (χ2=4.662, P=0.588). Conclusion Age is an independent risk factor for postoperative delirium in patients with Stanford type B aortic dissection. The incidence of postoperative delirium in young patients is lower than that in the patients with middle and elderly age, and it may be of reference value to prevent postoperative delirium. Dexmedetomidine has no significant effect on controlling the duration of postoperative delirium.

Objective:To investigate the vaccination status, characteristics and prognosis of patients suffering from a combination of COVID-19 and chronic lymphocytic anemia (CLL) in China.Methods:Clinical data of 328 patients with chronic lymphocytic leukemia (CLL) who were first diagnosed with COVID-19 and treated in the Department of Hematology of Jiangsu Provincial People’s Hospital between November 2022 and February 2023 were retrospectively analyzed. Univariate and multivariate analysis of data of patients with severe/critical COVID-19 were conducted by applying the binary logistic regression model.Results:The median age of the CLL patients was 60 (24-87) years. 23.5% (77/328) of these patients suffered from severe/critical COVID-19 infection. Univariate analysis of the data demonstrated that a combination of factors including age >67 years ( OR=2.15, 95% CI 1.24- 3.73, P=0.006), diabetes ( OR=2.09, 95% CI 1.05-4.20, P=0.037), chronic hepatitis B ( OR=2.91, 95% CI 1.30-6.51, P=0.010), CLL progressive ( OR=3.79, 95% CI 1.57-9.15, P=0.003) and CD20 antibody-based treatments within three months prior to the COVID-19 infection ( OR=2.79, 95% CI 1.35-5.77, P=0.006) were the risk factors for severe/critical COVID-19. According to the multivariate analysis, CLL progressive ( OR=2.98, 95% CI 1.10-8.10, P=0.033) was an independent risk factor for severe/critical COVID-19 and administration of the BTK (Bruton tyrosine kinase) inhibitor monotherapy might exert a protective effect and influence a positive outcome of the COVID-19 infection ( OR=0.38, 95% CI 0.16-0.90, P=0.028). Among the 242 patients who were followed up until October 2023, 9.1% (22/242) had multiple subsequent COVID-19 infections (≥3), and 2.1% (5/242) had persistent COVID-19 infections (patients with persistent positive test for the SARS-CoV-2 antigen testing until missing follow-up for any reason). The peak value of the anti-SARS-CoV-2-IgG titres was observed between three and four months post symptom onset (median: 3.511 S/CO vs 1.047 S/CO, P<0.05). The levels of immunoglobulin A gradually decreased following infection with COVID-19, and its trough levels were attained between two to four weeks post infection (median: 0.30 g/L vs 0.74 g/L, P<0.05). According to this study the mortality of patients suffering from a combination of COVID-19 infection and CLL was 2.7% (9/328), and the main reason for their death was respiratory failure and heart failure. Conclusions:A low rate of COVID-19 vaccination and a high rate of severe/critical COVID-19 infection was observed in the CLL patients. CLL progressive was associated with severe/critical COVID-19. Anti-CD20-based treatments received within the past three months might be a risk factor for exacerbation of COVID-19 infection, whereas a monotherapy with BTK inhibitors exert a protective effect and improve outcome of COVID-19 infection.

Objective:To evaluate the diagnostic efficacy of the multiparametric MRI (mpMRI) deep learning artificial intelligence (AI) analysis system combined with 68Ga-prostate specific membrane antigen (PSMA) PET for prostate cancer. Methods:Data of 103 patients (age: 45-85 years) who underwent 68Ga-PSMA PET/MR at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from May 2018 to October 2023 for suspected or confirmed prostate cancer were retrospectively collected. ROI was delineated to measure SUV max of primary tumor or prostate, and a deep learning AI system was applied to analyze MR images of the prostate. The diagnostic efficacies of T 2 weighted imaging (WI), diffusion WI (DWI), mpMRI, PET SUV max, and PET/MR for prostate cancer were assessed, with using the pathological results as the gold standard. Results:Among 103 patients, 82 cases (79.61%) were with prostate cancer. PET unimodality demonstrated the best specificity (100%, 21/21), positive predictive value (100%, 58/58), and AUC (0.860, 95% CI: 0.777-0.920). The mpMRI AI analysis provided rapid diagnostic results and the sensitivity and accuracy were improved by combining with PET (sensitivities of PET, mpMRI and the combination of the two were 70.73%(58/82), 86.59%(71/82), and 92.68%(76/82), respectively; the accuracies were 76.70%(79/103), 81.55%(84/103) and 86.41%(89/103), respectively). Among 44 patients with negative PET, 30 patients received an accurate diagnosis when the results of mpMRI AI analysis were added. Conclusions:68Ga-PSMA PET demonstrates good specificity for prostate cancer and mpMRI AI analysis is time-saving. The combined application improves the diagnostic sensitivity and accuracy, which provides a valuable tool for 68Ga-PSMA PET/MR image analysis.

By analyzing the of genetic testing data of patients with renal polycystic kidney disease and their relatives, this study aims to identify unreported novel gene mutation sites associated with autosomal dominant polycystic kidney disease (ADPKD). Structural prediction software was employed to investigate protein structural changes before and after mutations, explore genotype-phenotype correlations, and enrich the ADPKD gene database. In this single-center retrospective study, patients with multiple renal cysts diagnosed from January 2019 to February 2023 at the Zhong Da Hospital Southeast University were included. Genetic and clinical data of patients and their families were collected. Unreported novel gene mutation sites associated with ADPKD were identified. The AlphaFold v2.3.1 software was used to predict protein structures. Changes in protein structure before and after mutations were compared to explore genotype-phenotype correlations and enrich the ADPKD gene database. Twelve mutated genes associated with renal cysts were detected in 52 families. Nineteen novel gene mutation sites associated with ADPKD were identified, including 17 mutations in the PKD1 gene (one splicing mutation, seven frameshift mutations, four nonsense mutations, one whole-codon insertion, and four missense mutations); one ALG9 missense mutation; and one chromosomal structural variation. Truncating mutations in the PKD1 gene were correlated with a more severe clinical phenotype, while non-truncating mutations were associated with greater clinical heterogeneity. Numerous novel gene mutation sites associated with ADPKD remain unreported. Therefore, it is essential to analyze the pathogenicity of these novel mutation sites, establish genotype-phenotype correlations, and enrich the ADPKD gene database.