Extensive epigenetic reprogramming involves in memory CD8+ T-cell differentiation. The elaborate epigenetic rewiring underlying the heterogeneous functional states of CD8+ T cells remains hidden. Here, we profile single-cell chromatin accessibility and map enhancer-promoter interactomes to characterize the differentiation trajectory of memory CD8+ T cells. We reveal that under distinct epigenetic regulations, the early activated CD8+ T cells divergently originated for short-lived effector and memory precursor effector cells. We also uncover a defined epigenetic rewiring leading to the conversion from effector memory to central memory cells during memory formation. Additionally, we illustrate chromatin regulatory mechanisms underlying long-lasting versus transient transcription regulation during memory differentiation. Finally, we confirm the essential roles of Sox4 and Nrf2 in developing memory precursor effector and effector memory cells, respectively, and validate cell state-specific enhancers in regulating Il7r using CRISPR-Cas9. Our data pave the way for understanding the mechanism underlying epigenetic memory formation in CD8+ T-cell differentiation.
CD8-Positive T-Lymphocytes/metabolism* ; Cell Differentiation ; Chromatin/immunology* ; Animals ; Mice ; Immunologic Memory ; Epigenesis, Genetic ; SOXC Transcription Factors/immunology* ; NF-E2-Related Factor 2/immunology* ; Mice, Inbred C57BL ; Gene Regulatory Networks ; Enhancer Elements, Genetic

Objective:To explore brain network properties and their relationship with cognitive function in children with spastic cerebral palsy (SCP) using diffusion tensor imaging (DTI) based graph theory analysis.Methods:The study was a cross-sectional study. Clinical and imaging data of 21 children with SCP (SCP group) and 32 healthy children (control group) who underwent cranial MRI at the Affiliated Hospital of Zunyi Medical University from August 2020 to April 2022 were analyzed retrospectively. 3D-T 1WI, DTI and Wechsler Intelligence Scale were assessed for all subjects. The Wechsler Intelligence Scale included the verbal comprehension index (VCI), the processing speed index (PSI), the work memory index (WMI), and the perceptual reasoning index (PRI), etc., and ultimately the full scale intelligence quotient (FSIQ) scores were obtained based on the indices of each subscale. Independent samples t-test was used to analyze the differences in the small world attributes [small-world index (σ), normalized shortest path length (λ), normalized clustering coefficients (γ)], global attributes [global efficiency (Eglob), local efficiency (Eloc), characteristic path length (Lp), clustering efficiency (Cp)] and node attributes [degree centrality(DC), nodal efficiency (Ne), betweeness centrality (Bc), nodal shortest path length (NLp), nodal clustering efficiency, nodal local efficiency] between two groups of children′s brain networks. Brain network indicators with statistically significant differences between the 2 groups were correlated with Wechsler Intelligence Scale scores using Spearman. Results:The FSIQ scores on the Wechsler Intelligence Scale and the VCI, WMI, PSI, and PRI were lower in the SCP group than in the control group, and the differences were all statistically significant (all P<0.05). Both groups of children′s brain networks had small world properties. Compared with the control group, Eglob decreased, Lp and λ increased in the SCP group (all P<0.05). Compared with the control group, DC and Ne in multiple brain regions decreased, NLp increased in the SCP group (all P<0.05, FDR corrected). Correlation analysis showed that DC in the right parsopercularis was positively correlated with FSIQ, VCI, WMI and PRI( r=0.53, 0.47, 0.47, 0.60, P=0.019, 0.045, 0.044, 0.020, respectively); NLp in the right parsopercularis was negatively correlated with PRI( r=-0.56, P=0.030); Ne in left paracentral, the right parsopercularis, right precentral, right postcentra were positively correlated with PRI( r=0.62, 0.56, 0.53, 0.54, P=0.015, 0.031, 0.044, 0.039, respectively); Ne in the right precentral was positively correlated with WMI ( r=0.48, P=0.039) in the SCP group. Conclusions:There are changes in the topological attributes of global and multiple regional brain networks in SCP. The changes in the attributes of nodes in the right parsopercularis, right precentral, right postcentral, and left paracentral could reflect cognitive dysfunction in children with SCP.

ObjectiveThe lung mesenchymal stem cells （LMSCs） induced by D-galactose （D-gal） were intervened by Wenfei Huaxian decoction-containing serum to explore the mechanism of Wenfei Huaxian decoction in delaying the senescence of LMSCs through the nicotinamide phosphoribosyltransferase/silent information regulator 1 （NAMPT/SIRT1） signaling pathway. MethodWenfei Huaxian decoction-containing serum was prepared. LMSCs were isolated by gradient density centrifugation， and they were cultured and identified in vitro. The senescence model in vitro was established by stimulating cells via D-gal for 24 h. LMSCs cells were modeled after being treated with different volume fractions （5%， 10%， 20%， 40%， and 80%） of Wenfei Huaxian decoction-containing serum for 24 h， and the cell proliferation level was detected by methyl thiazolyl tetrazolium （MTT） method. The cells were randomly divided into blank serum group， model group， and high， medium， and low dose groups of Wenfei Huaxian decoction-containing serum. Senescence-associated β-galactosidase （SA-β-gal） staining was used to detect the senescence of LMSCs in each group. The content of NAD + was detected by colorimetry. The levels of senescence-associated factors （p16 and p53）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in cell culture supernatant were detected by enzyme-linked immunosorbent assay （ELISA）. Western blot was used to detect the relative expression of senescence-associated proteins and NAMPT/SIRT1 signaling pathway-related proteins. ResultCompared with the blank serum group， the proliferation of LMSCs was significantly inhibited after D-gal stimulation for 24 h （P<0.01）. Compared with the model group， the proliferation of LMSCs could be promoted after intervention with the corresponding Wenfei Huaxian decoction-containing serum （P<0.05， P<0.01）. Compared with the blank serum group， the SA-β-gal staining of LMSCs in the model group after D-gal stimulation was enhanced， and the content of NAD⁺ was increased （P<0.01）. The expression levels of senescence factors p16 and p53， as well as SASP pro-inflammatory factors IL-6 and TNF-α in the cell culture supernatant， were significantly increased （P<0.01）. The expression of senescence-associated proteins p16， p21， and p53 increased （P<0.01）， and the protein expression of NAMPT， SIRT1， peroxisome proliferator-activated receptor γ coactivator 1α （PGC-1α）， and forkhead box family transcription factor O1 （FoxO1） decreased （P<0.01）. Compared with the model group， the SA-β-gal staining of LMSCs in each group of Wenfei Huaxian decoction-containing serum was significantly reduced， and the content of NAD⁺ was decreased （P<0.01）. The senescence factors （p16 and p53） and inflammatory factors （IL-6 and TNF-α） in the cell culture supernatant were significantly decreased （P<0.01）. The expression of senescence-associated proteins （P16， P21， and P53） decreased （P<0.05， P<0.01）. The protein expressions of NAMPT， SIRT1， PGC-1α， and FoxO1 were significantly up-regulated （P<0.05， P<0.01）. ConclusionWenfei Huaxian decoction can alleviate senescence and inflammatory response damage of D-gal-induced LMSCs， and its mechanism may be related to the regulation of the NAMPT/SIRT1 signaling pathway.

Objective:To explore the association between insulin resistance (IR) and new-onset hyperuricemia (HUA) in nurses.Methods:A retrospective cohort study was conducted on 3 792 nurses from Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, who were surveyed from January to July in 2021. A total of 2 995 nurses who were successfully followed up in 2023 and met the inclusion criteria were selected for the study. The nurses were divided into four groups based on their quantiles (Q1 to Q4)for each indicator of insulin resistance (IR), including the triglyceride glucose (TyG), the triglyceride glucose-body mass index (TyG-BMI), the triglyceride/high-density lipoprotein-cholesterol index (TG/HDL-C), and the metabolic score for insulin resistance (METS-IR): groups. The impact of each IR indicator on the risk of HUA was assessed by using Cox regression analysis, while the receiver operating characteristic (ROC) curve was employed to evaluate and compare the predictive power of each indicator.Results:Of the 2 995 nurses, there were 65 males and 2 930 females, with a mean age of (33.19±6.67) years. During the follow-up period of 1.95 (1.87, 2.03) years, 152 new-onset HUA cases were identified, resulting in an incidence density of 26.02 per 1 000 person-years. After adjusting for various confounding factors, the Cox risk regression model analysis indicated that the hazard ratios (95% CI) for the risk of HUA in the highest quartile (Q4) compared to the lowest quartile (Q1) were as follows: 2.20(1.34, 3.63) for TyG, 4.95 (2.76, 8.90) for TyG-BMI, 3.24 (1.92, 5.45) for TG/HDL-C, and 6.15 (3.34, 11.33) for METS-IR. The areas under the ROC curves for TyG, TyG-BMI, TG/HDL-C, and METS-IR levels in predicting the risk of HUA in nurses was 0.71, 0.73, 0.72, and 0.74, respectively. Conclusion:The IR is positively correlated with new-onset HUA in nurses, and each IR index demonstrates a certain predictive efficacy for risk of HUA.

Studies have shown that spatial attention remarkably affects the trial-to-trial response variability shared between neurons. Difficulty in the attentional task adjusts how much concentration we maintain on what is currently important and what is filtered as irrelevant sensory information. However, how task difficulty mediates the interactions between neurons with separated receptive fields (RFs) that are attended to or attended away is still not clear. We examined spike count correlations between single-unit activities recorded simultaneously in the primary visual cortex (V1) while monkeys performed a spatial attention task with two levels of difficulty. Moreover, the RFs of the two neurons recorded were non-overlapping to allow us to study fluctuations in the correlated responses between competing visual inputs when the focus of attention was allocated to the RF of one neuron. While increasing difficulty in the spatial attention task, spike count correlations were either decreased to become negative between neuronal pairs, implying competition among them, with one neuron (or none) exhibiting attentional enhancement of firing rate, or increased to become positive, suggesting inter-neuronal cooperation, with one of the pair showing attentional suppression of spiking responses. Besides, the modulation of spike count correlations by task difficulty was independent of the attended locations. These findings provide evidence that task difficulty affects the functional interactions between different neuronal pools in V1 when selective attention resolves the spatial competition.
Animals ; Attention/physiology* ; Macaca mulatta ; Neurons/physiology* ; Photic Stimulation ; Primary Visual Cortex ; Visual Cortex/physiology*

Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2018 to December 2019. Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 14 778 bacterial strains were collected from 50 hospitals, of which 4 117 (27.9%) were Gram-positive bacteria and 10 661(72.1%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.2%), Klebsiella pneumoniae (17.0%), Staphylococcus aureus (9.7%), coagulase-negative Staphylococci (8.7%), Pseudomonas aeruginosa (3.7%), Enterococcus faecium (3.4%), Acinetobacter baumannii(3.4%), Enterobacter cloacae (2.9%), Streptococci(2.8%) and Enterococcus faecalis (2.3%). The the prevalence of methicillin-resistant S. aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus were 27.4% (394/1 438) and 70.4% (905/1 285), respectively. No glycopeptide-resistant Staphylococcus was detected. More than 95% of S. aureus were sensitive to amikacin, rifampicin and SMZco. The resistance rate of E. faecium to vancomycin was 0.4% (2/504), and no vancomycin-resistant E. faecalis was detected. The ESBLs-producing rates in no carbapenem-resistance E. coli, carbapenem sensitive K. pneumoniae and Proteus were 50.4% (2 731/5 415), 24.6% (493/2001) and 35.2% (31/88), respectively. The prevalence of carbapenem-resistance in E. coli and K. pneumoniae were 1.5% (85/5 500), 20.6% (518/2 519), respectively. 8.3% (27/325) of carbapenem-resistance K. pneumoniae was resistant to ceftazidime/avibactam combination. The resistance rates of A. baumannii to polymyxin and tigecycline were 2.8% (14/501) and 3.4% (17/501) respectively, and that of P. aeruginosa to carbapenem were 18.9% (103/546). Conclusions:The surveillance results from 2018 to 2019 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while E. coli was the most common pathogen, and ESBLs-producing strains were in majority; the MRSA incidence is getting lower in China; carbapenem-resistant E. coli keeps at a low level, while carbapenem-resistant K. pneumoniae is on the rise obviously.

Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2016 to December 2017. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI) 2019. WHONET 5.6 was used to analyze data.Results:During the study period, 8 154 bacterial strains were collected from 33 hospitals, of which 2 325 (28.5%) were Gram-positive bacteria and 5 829 (71.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (34.7%), Klebsiella pneumoniae (15.8%), Staphylococcus aureus (11.3%), coagulase-negative Staphylococci (7.4%), Acinetobacter baumannii (4.6%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.8%), Streptococci (2.9%), Enterobacter cloacae (2.7%) and Enterococcus faecalis (2.5%). Methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus (MRCNS) accounted for 34.2%(315/922) and 77.7%(470/605), respectively. No vancomycin-resistant Staphylococcus was detected. The resistance rate of Enterococcus faecium to vancomycin was 0.6%(2/312), and no vancomycin-resistant Enterococcus faecium was detected. The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus were 55.7%(1 576/2 831), 29.9%(386/1 289) and 38.5%(15/39), respectively. The incidences of carbapenem-resistance in Escherichia coli, Klebsiella pneumoniae were 1.2%(33/2 831), 17.5%(226/1 289), respectively. The resistance rates of Acinetobacter baumannii to polymyxin and tigecycline were 14.8%(55/372) and 5.9%(22/372) respectively, and those of Pseudomonas aeruginosa to polymyxin and carbapenem were 1.3%(4/315) and 18.7%(59/315), respectively. Conclusion:The surveillance results from 2016 to 2017 showed that the main pathogens of blood stream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen; the MRSA incidence was lower than other surveillance data in the same period in China; carbapenem-resistant Escherichia coli was at a low level during this surveillance, while carbapenem-resistant Klebsiella pneumoniae is on the rise.

Objective: To investigate the current status and real performance of the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels in China through interlaboratory comparison. Methods: Peking University People’s Hospital (PKUPH) prepared the samples for comparison. That is, the fresh RUNX1-RUNX1T1 positive (+) bone morrow nucleated cells were serially diluted with RUNX1-RUNX1T1 negative (-) nucleated cells from different patients. Totally 23 sets with 14 different samples per set were prepared. TRIzol reagent was added in each tube and thoroughly mixed with cells for homogenization. Each laboratory simultaneously tested RUNX1-RUNX1T1 and WT1 transcript levels of one set of samples by real-time quantitative PCR method. All transcript levels were reported as the percentage of RUNX1-RUNX1T1 or WT1 transcript copies/ABL copies. Spearman correlation coefficient between the reported transcript levels of each participated laboratory and those of PKUPH was calculated. Results: ①RUNX1-RUNX1T1 comparison: 9 samples were (+) and 5 were (-) , the false negative and positive rates of the 20 participated laboratories were 0 (0/180) and 5% (5/100) , respectively. The reported transcript levels of all 9 positive samples were different among laboratories. The median reported transcript levels of 9 positive samples were from 0.060% to 176.7%, which covered 3.5-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.5 to 12.3 (one result which obviously deviated from other laboratories’ results was not included) , 85% (17/20) of the laboratories had correlation coefficient ≥0.98. ②WT1 comparison: The median reported transcript levels of all 14 samples were from 0.17% to 67.6%, which covered 2.6-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.3-13.7, 62% (13/21) of the laboratories had correlation coefficient ≥0.98. ③ The relative relationship of the reported RUNX1-RUNX1T1 transcript levels between the participants and PKUPH was not always consistent with that of WT1 transcript levels. Both RUNX1-RUNX1T1 and WT1 transcript levels from 2 and 7 laboratories were individually lower than and higher than those of PKUPH, whereas for the rest 11 laboratories, one transcript level was higher than and the other was lower than that of PKUPH. Conclusion The reported RUNX1-RUNX1T1 and WT1 transcript levels were different among laboratories for the same sample. Most of the participated laboratories reported highly consistent result with that of PKUPH. The relationship between laboratories of the different transcript levels may not be the same.

Objective To investigate the effect of human CD47 (hCD47) in inducing the immune tolerance of human macrophages to porcine endothelial cells. Methods The porcine iliac endothelial cell (PIEC) transfected with pCDH-hCD47-FLAG plasmid was assigned into the pCDH-hCD47 group, PIEC transfected with pCDH-FLAG empty vector plasmid was assigned into the pCDH group, PIEC transfected with hCD47-dN was assigned into the pCDH-hCD47-dN group and human umbilical vein endothelial cell (HUVEC) was assigned into the positive control group. The cells were co-cultured with human macrophages to detect and analyze the phosphorylation of signal regulatory protein α (SIRPα) and the killing effect of human macrophages on PIEC. Furthermore, porcine arteriae endothelial cell (PAEC) was isolated from GT^－/－ and GT^－/－/ hCD 47 gene editing pigs to analyze the phosphorylation of SIRPα and the killing effect of human macrophages on PAEC. Results The pCDH group cells could not induce the phosphorylation of SIRPα, whereas the pCDH-hCD47 group cells could activate the phosphorylation of SIRPα after 10 min co-culture with human macrophages, and the degree of phosphorylation of SIRPα was increased with the prolongation of the co-culture time. The pCDH-hCD47-dN group cells failed to activate the phosphorylation of SIRPα. Human macrophages exerted significant effect on killing the pCDH group cells. The pCDH-hCD47 group cells could evidently inhibit the killing effect of human macrophages (P < 0.05), whereas the pCDH-hCD47-dN cells failed to suppress the killing effect of human macrophages. GT^－/－-PAEC could not activate the phosphorylation of SIRPα after co-culture with human macrophages. However, GT^－/－/hCD47-PAEC significantly activated the phosphorylation of SIRPα after co-culture with human macrophages. Human macrophages exerted significant killing effect on GT^－/－-PAEC, and GT^－/－/hCD47-PAEC could obviously inhibit the killing effect of human macrophages (P < 0.05). Conclusions The expression of hCD47 in the porcine endothelial cells can inhibit the killing effect of human macrophages on endothelial cells by activating the phosphorylation of SIRPα.

Objective: To observe the efficacy and safety related measures by blocking mother-to-child transmission of hepatitis B virus with high viral load and HBeAg positivity during pregnancy in Guizhou province. Methods: Outpatient and inpatient cases of the Department of Infectious Diseases and Obstetrics of Guizhou Medical University Affiliated Hospitals from May 2016 to July 2017 were retrospectively divided into intervention group, non-intervention group and non- hepatitis B pregnant women group; with 75 cases in each group. HBsAg and HBeAg were positive in the intervention group. Pregnant women with HBV DNA ≥10⁶ IU/ml were treated with anti-HBV therapy for 24 to 28 weeks of gestation until delivery. According to oral drugs, they were divided into tenofovir (TDF) group or telbivudine (LDT) group, non-intervention group (HBsAg and HBeAg positive), HBV DNA positive pregnant women, pregnant women with no anti-HBV drugs, non-hepatitis B pregnant women (normal pregnant women without HBV infection). Infants and young children born to the three groups of women were immunized with the national viral hepatitis B action plan. The gestational weeks and Apgar scores at birth, delivery mode, feeding mode, sex and 7-months-old age were observed and counted. Serum hepatitis B markers (HBVM) and HBV DNA were quantitatively detected. HBVM was detected by time-resolved fluorescence immunoassay (TRFIA), and HBV DNA was detected by real-time PCR (FQ-PCR). The changes of liver parameters, HBsAg, HBeAg, HBV DNA, adverse drug reactions and treatment response of pregnant intervention group before medication (12-24 weeks of gestation), 4 weeks of medication (28-32 weeks of gestation), 36-40 weeks of gestation (36-40 weeks of gestation) were statistically calculated. A t-test was used to compare the data between the measurements. Data measurements within the groups were analyzed using rank -sum test. Results: In the intervention group, therapeutic medications showed no differences in demographic and clinical characteristics between TDF group and LDT group, including liver parameters, HBsAg, HBeAg and log10HBV DNA level. Compared with pre-treatment (TDF group: 4.84 ± 2.01; LDT group: 5.08 ± 1.99), TDF and LDT were significantly lower at the end of pregnancy (TDF group: 3.06 ± 0.66; LDT group: 3.51 ± 1.20). P < 0.05); and the treatment response rate was 100%. There were no serious adverse events in the intervention group. Infants and young children (7-months-old) in the intervention group had negative HBsAg, HBeAg and HBV DNA. The mother-to-child transmission rate of HBV was zero, with blocking rate of 100%. In addition, both infants and young children had different degrees of hepatitis B protective antibodies (anti-HBs, M: 144.33), and their antibody titers were higher than that of non-intervention group (anti-HBs, M: 65.91) and non-hepatitis B pregnant women (anti-HBs, M: 58.43). The difference was statistically significant (P < 0.05), and there was no significant correlation between the use of antiviral and the way of delivery and feeding. Outcomes of mother-to-child transmission of HBV infection in infants and young children (7-months-old) delivered by three groups of pregnant women in the non-intervention groups had 20.0% (15/75)/ 17.3% (13/75) HBsAg/HBeAg positivity rate, and 17.3% (13/75) HBV DNA positivity rate. Overall, mother-to-child transmission rate of HBV infection was 20% (15/75). Furthermore, the relationship between mother's HBV DNA load and infant HBV infection in the non-intervention group showed mother's HBV DNA ≥10⁶ IU/ml. Conclusion In the non-intervention group, mother-to-child transmission of HBV occurred, and infected mothers HBV DNA was ≥106 IU/ml before delivery. This suggests that HBeAg positive and high load HBV DNA replication were independent risk factors for mother-to-child transmission of hepatitis B. Therefore, prenatal drug intervention and postpartum standard immune blockade are necessary for high-risk pregnant women with hepatitis B to achieve zero mother-to-child transmission of hepatitis B in real- clinical practice.