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 observe the anti-inflammatory and glycometabolic effects of glutathione(GSH)on macrophages in collagen induced arthritis(CIA)mice.Methods:①CIA model establishment and groups:A total of 14 female DBA/1J mice were ran-domly divided into:CIA+PBS group and CIA+GSH group.The mice were sacrificed on the 50th day,collecting serum and isolating bone marrow derived macrophages(BMDM),which were marked as BMDM1.②Trained immunity model establishment and groups:BMDM were isolated from normal DBA/1J mice,and were pretreated with histone H3K27 demethylases inhibitor(GSKJ1)or PBS for 2 h.Then,serum from CIA model mice in vivo was incubated for 24 h,and the samples were grouped as follows:(CIA+GSH)+PBS group,(CIA+GSH)+GSKJ1 group,(CIA+PBS)+PBS group,(CIA+PBS)+GSKJ1 group.Lipopolysaccharide(LPS)was adopted to stimulated cells on the 6th day,which were marked as BMDM2.③RNA sequencing was used to detect differentially expressed genes(DEGs)and their function in BMDM1 and BMDM2.q-PCR was adopted to estimate the mRNA levels of PFK and Idh3g.The culture supernatants were used to measure the protein levels of TNF-α and IL-6 by ELISA.Results:①Compared with CIA+PBS group,the mice in CIA+GSH group showed lighter of joint swelling(P<0.05),less arthritis index(P<0.05),HE staining suggested less inflam-matory cell infiltration,Safranin O-fast green staining showed more chondrocytes,TRAP staining indicated reduced osteoclasts.②In BMDM1,GO analysis showed that DEGs were mainly involved in glutathione derivative metabolic process,IL-6 production,inflammatory response,innate immune response,regulation of primary metabolic process and glycolipid binding,compared with CIA+GSH and CIA+PBS group.In CIA+GSH group,the mRNA level of PFK was significantly decreased(P<0.05),while Idh3g was also significantly up-regulated(P<0.05),and the expression of TNF-α,IL-6 were both reduced(P<0.05)compared with CIA+PBS group.③In BMDM2,GO analysis showed that DEGs were also involved in inflammatory response,activation of innate immune response,regulation of tumor necrosis factor production,positive regulation of IL-6 production,regulation of glycolytic process and 1,3-β-D-glucan binding between CIA+GSH and CIA+PBS group.Furthermore,in(CIA+GSH)+PBS group,PFK was decreased(P<0.05),Idh3g was up-regulated(P<0.05),and IL-6 was also significantly down-regulated(P<0.05)compared with(CIA+PBS)+PBS group.However,there was no significant difference in the expression of Idh3g and PFK,moreover,TNF-α and IL-6 were significantly up-regulated compared with(CIA+GSH)+GSKJ1 group and(CIA+GSH)+PBS group.Conclusion:GSH can regulate glycometabolism and inflammatory response of macrophages via demethylation of histone H3K27,and it can also alleviate CIA in mice.

Objective:To explore the facilitators and barriers in implementing the orthokeratology lens-wearing education guidance program from the perspectives of children, their families, and medical and nursing staff.Methods:Based on phenomenological research, purposive sampling was used to select five medical workers, 18 children wearing orthokeratology lenses and family members from the Optometry Center of Peking University Third Hospital as interviewees for semi-structured interviews. Colaizzi's 7-step method was used to analyze interview data.Results:Two themes (facilitators and barriers) were extracted, among which facilitators included two sub-themes (strong demand for educational guidance, trust in medical and nursing staff), and barriers consisted of two sub-themes (patient factors, external support factors) .Conclusions:In promoting the educational guidance intervention program for wearing orthokeratology lenses, medical and nursing staff need to fully play the role of facilitators, analyze and solve barriers, and ultimately promote the smooth implementation of the intervention program.

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.

Objective:To analyze the mutation pathogenicity of the novel compound heterozygous mutation in the PKHD1 gene causing autosomal recessive polycystic kidney disease (ARPKD) family, expand the PKHD1 gene mutation database, and explore the genotype-phenotype correlations of PKHD1 gene mutation causing ARPKD. Methods:Clinical data and peripheral blood of a patient with ARPKD caused by the novel compound heterozygous mutation in the PKHD1 gene and their family members were collected. High-throughput sequencing was used to detect pathogenic mutations in the proband, and PCR amplification and Sanger sequencing were used to verify the pathogenic mutations in the family. AlphaFold software was applied to predict changes in protein structure in the present or absent mutations, and the pathogenicity of mutations was analyzed. Results:The patient was a young male who underwent splenectomy due to liver cirrhosis and hypersplenism at age 7. He developed end-stage renal disease at age 22, requiring maintenance peritoneal dialysis, and died of severe pneumonia and septic shock at age 24. Genetic testing revealed three compound heterozygous mutations in the PKHD1 gene inherited from his parents: a missense mutation (c.5935G>A) inherited from the father and a missense mutation (c.1187G>A) and a novel splice mutation (c.6332+1_6332+2insG) from the mother. The single missense mutation allele likely contributed to the prolonged survival. c. 6332+1_ 6332+2insG is a novel splicing mutation that has not been reported in the past, which can lead to early termination of protein translation. This discovery expands the PKHD1 gene mutation database. c. 1187G>A (p.S396N) and c.5935G>A (p.G1979R) occur in the PA14 and G8 domains of the protein, respectively, and are associated with early and severe liver phenotypes in patients. Conclusions:The mutation types and amino acid localization of the PKHD1 gene are associated with the heterogeneity of clinical phenotypes in ARPKD patients. Analyzing structural changes in proteins before and after mutations can help understand the pathogenicity at a molecular level, establishing genotype-phenotype correlations and providing valuable insights for assessing prognosis and identifying high-risk ARPKD patients early.

Objective:To investigate the application of CT image omics model in the differential diagnosis of ganglioneuroblastoma (GNB) and neuroblastoma (NB) in childhood.Methods:A retrospective case series study was performed. The clinical and imaging data of 23 NB and 23 GNB pediatric patients confirmed by surgery and pathology in Shanxi Children's Hospital from January 2013 to December 2013 were collected. The original CT images in the normal scan phase, arterial phase and venous phase of all the children before operation were extracted from the PACS system in DICOM format. ITK-SNAP (ver.3.4.0) software was applied to manually outline and extract the image omics features layer by layer of the lesions in the normal scan phase, arterial phase and venous phase of each patient before surgery. The minimum absolute contraction selection operator and stepwise multi-factor logistic regression method were used to screen out effective features in different scan phases. The corresponding phase image omics model was established by using logistic model. The diagnostic efficiency of each phase of the image omics model was evaluated by using the receiver operating characteristic curve, calibration curve and decision curve.Results:A total of 1 361 image omics features were extracted from the original CT images in the 3 phases. The model was established by using multi-factor logistic regression to extract 4 features in the normal scan phase, 2 features in the arterial phase, 3 features in the venous phase and 7 features in the combination of the 3 phases. The area under the curve (AUC) of the model in the normal scan phase was 0.940, the accuracy was 89.1%, the sensitivity was 91.3% and the specificity was 87.0%; the AUC of the model in the arterial phase was 0.923, the accuracy was 84.8%, the sensitivity was 82.6%, and the specificity was 87.0%; the AUC of the model in the venous phase was 0.949, the accuracy was 87.8%, the sensitivity was 83.3%, and the specificity was 91.3%; the AUC of 3 phases combined model was 0.964, the accuracy was 95.1%, the sensitivity was 94.7%, and the specificity was 95.5%. The results showed that the single-phase image omics model was effective in the differential diagnosis of NB and GNB in childhood; the AUC, accuracy, sensitivity and specificity of the 3 phases combined imaging model were higher than those of the single-phase imaging model. The calibration curve and decision curve showed that the probability of differential diagnosis of NB and GNB in childhood by the 3 phases combined model had a high consistency with the observed value, and a good net benefit could be achieved.Conclusions:CT-based image omics model has a high clinical value in the differential diagnosis of NB and GNB in childhood.

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 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.