Objective To evaluate the effect of pacing in different parts of the ventricle on left ven-tricular mechanical asynchrony using myocardial metabolic imaging.Methods A total of 56 elderly patients undergoing permanent pacemaker implantation in our hospital from January to November 2023 were recruited and randomly divided into left bundle branch pacing(LBBAP)group and right ventricular pacing(RVP)group,with 28 patients in each group.Another 28 elderly patients who did not undergo pacemaker implantation surgery were selected as the control group.Within 1 week after pacemaker implantation,18F fluorodeoxyglucose(18F-FDG)positron emission tomo-graphy(PET)/CT myocardial metabolism imaging was performed to analyze PET myocardial metabolism images and evaluate left ventricular mechanical synchrony.Results The LVEF was significantly higher in the control group than the LBBAP group and RVP group[(67.68±9.61)％vs(62.71±11.33)％vs(57.36±16.07)％,P=0.012],but no such difference was seen between the LBBAP group and the RVAP group(P＞0.05).The LBBAP group had obviously lower pat-tern standard deviation(PSD),phase histogram bandwidth(PHBW),entropy,summed motion score(SMS),summed thickening score(STS),extent of abnormal motion(Mot Ext)and thicken-ing extent(Thk Ext)when compared with the RVP group(P＜0.01).There were no statistical significant differences in the terms of PSD,PHBW,Entropy,SMS,STS,Mot Ext,and Thk Ext between the LBBAP group and the control group(P＞0.05).Conclusion 18F-FDG PET/CT myo-cardial metabolic imaging can be used to evaluate left ventricular mechanical synchrony in pacing different parts of the ventricle,and LBBAP can obtain better left ventricular synchrony parame-ters than RVP,similar to the control group.

BACKGROUND: Previous studies have examined the bulk transcriptome of peripheral blood immune cells in acquired immunodeficiency syndrome patients experiencing immunological non-responsiveness. This study aimed to investigate the characteristics of specific immune cell subtypes in acquired immunodeficiency syndrome patients who exhibit immunological non-responsiveness. METHODS: A single-cell transcriptome sequencing of peripheral blood mononuclear cells obtained from both immunological responders (IRs) (CD4 + T-cell count >500) and immunological non-responders (INRs) (CD4 + T-cell count <300) was conducted. The transcriptomic profiles were used to identify distinct cell subpopulations, marker genes, and differentially expressed genes aiming to uncover potential genetic factors associated with immunological non-responsiveness. RESULTS: Among the cellular subpopulations analyzed, the ratios of monocytes, CD16 + monocytes, and exhausted B cells demonstrated the most substantial differences between INRs and IRs, with fold changes of 39.79, 11.08, and 2.71, respectively. In contrast, the CD4 + T cell ratio was significantly decreased (0.39-fold change) in INRs compared with that in IRs. Similarly, the ratios of natural killer cells and terminal effector CD8 + T cells were also lower (0.37-fold and 0.27-fold, respectively) in the INRs group. In addition to several well-characterized immune cell-specific markers, we identified a set of 181 marker genes that were enriched in biological pathways associated with human immunodeficiency virus (HIV) replication. Notably, ISG15 , IFITM3 , PLSCR1 , HLA-DQB1 , CCL3L1 , and DDX5 , which have been demonstrated to influence HIV replication through their interaction with viral proteins, emerged as significant monocyte marker genes. Furthermore, the differentially expressed genes in natural killer cells were also enriched in biological pathways associated with HIV replication. CONCLUSIONS We generated an atlas of immune cell transcriptomes in HIV-infected IRs and INRs. Host genes associated with HIV replication were identified as markers of, and were found to be differentially expressed in, different types of immune cells.
Humans ; Acquired Immunodeficiency Syndrome ; Transcriptome/genetics* ; HIV ; HIV Infections/genetics* ; Leukocytes, Mononuclear/metabolism* ; CD4-Positive T-Lymphocytes/metabolism* ; Virus Replication ; Membrane Proteins/metabolism* ; RNA-Binding Proteins/metabolism*

Objective To investigate the HIV-1 genotype and distribution of newly diagnosed HIV-1 cases in Fujian Province in 2020, so as to provide insights into formulation of the precise AIDS control strategy in the province. Methods Newly diagnosed HIV-1 cases without antiretroviral therapy (excluding AIDS patients) were randomly sampled from each city of Fujian Province in 2020 at a proportion of 50% of the mean number of HIV-infected cases reported across 9 cities of Fujian Province during the past three years. Subjects’ demographic and epidemiological data were collected and blood samples were collected. The HIV-1 pol gene was amplified using nested reverse-transcription PCR assay, and the gene sequences were used for HIV-1 genotyping and phylogenetic analysis. The gene sequences were uploaded to the HIV Drug Resistance Database (http://hivdb.stanford.edu) for genotypic drug resistance assays, and the scores and level of HIV drug resistance were estimated using the HIVDB Algorithm version 9.5. Results A total of 1 043 newly diagnosed HIV-1 cases were reported in Fujian Province in 2020, and 936 gene sequences were successfully obtained following sequencing of blood samples. There were 9 HIV-1 genotypes characterized in blood samples from 936 newly diagnosed HIV-1 cases, with CRF07_BC (52.1%) and CRF01_AE (30.4%) as predominant subtypes, followed by CRF08_BC (4.9%), CRF55_01B (3.0%), subtype C (2.5%), subtype B (2.1%), CRF85_BC (1.7%), CRF59_01B (0.3%) and CRF65_CPX (0.1%), and unidentified subtypes were found in 26 blood samples. HIV-1 drug resistance was detected in 43 out of the 936 newly diagnosed HIV-1 cases, with 4.6% prevalence of HIV-1 drug resistance prior to therapy, and the highest drug resistance was found in the HIV CRF59_01B subtype, followed by in CRF08_BC, B, C, CRF01_AE, CRF07_BC and other subtypes, with a significant difference in the genotype-specific prevalence of HIV-1 drug resistance (χ² = 45.002, P < 0.05). Conclusions There was a HIV-1 genotype diversity in Fujian Province in 2020, and emerging recombinant and drug-resistant HIV-1 strains were detected and spread across patients and regions. Monitoring of HIV-1 genotypes is recommended to be reinforced for timely understanding of the transmission and spread of novel recombinant and drug-resistant HIV-1 strains.