Acetaminophen (APAP) is the primary cause of drug-induced acute liver failure. Ovarian tumor deubiquitinase 6A (OTUD6A), a recently discovered deubiquitinase of the OTU family, has been primarily studied in tumor contexts. However, its role in APAP-induced liver injury (AILI) remains unclear. Therefore, this study aimed to investigate the involvement of OTUD6A in the pathogenesis of AILI. Our findings demonstrated a substantial upregulation of OTUD6A in both the liver tissue and isolated hepatocytes of mice following APAP stimulation. OTUD6A knockout exacerbated APAP-induced inflammation, hepatocyte necrosis, and liver injury, whereas OTUD6A overexpression alleviated these pathologies. Mechanistically, OTUD6A directly interacted with the enhancer of zeste homolog 2 (EZH2) and selectively removed K48-linked polyubiquitin chains from EZH2, enhancing its stability. This resulted in increased protein levels of EZH2 and H3K27me3, as well as reduced endoplasmic reticulum (ER) stress and cell death in hepatocytes. Collectively, our research uncovers a novel role for OTUD6A in mitigating APAP-induced liver injury by promoting EZH2 stabilization.

Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*

OBJECTIVE: To investigate the association between fluid balance trajectories within the first 3 days of intensive care unit (ICU) admission and 28-day mortality as well as the incidence of continuous renal replacement therapy (CRRT) in patients with severe acute pancreatitis (SAP). METHODS: Clinical data of SAP patients were extracted from the Medical Information Mart of Intensive Care-IV (MIMIC-IV). Group-based trajectory modeling (GBTM) was used to analyze the daily fluid balance of patients within 3 days of ICU admission, and grouping them accordingly. Univariate and multivariate Logistic regression analyses were performed to assess the association between fluid balance trajectory and 28-day mortality and ICU CRRT in SAP patients. RESULTS: A total of 251 SAP patients were included, with 33 deaths within 28 days, and a 28-day mortality of 13.15%; 49 patients (19.52%) continued to receive bedside CRRT after 3 days of ICU admission. The fluid balance on the 3rd day, cumulative fluid balance within 3 days of ICU admission, and incidence of CRRT in the death group were significantly higher than those in the survival group. According to GBTM groups, there were 127 cases in the moderate fluid resuscitation with rapid reduction (MF group), 44 cases in the large fluid resuscitation with rapid reduction (LF group), 20 cases in the moderate fluid resuscitation with slow reduction (MS group), and 60 cases in the small fluid resuscitation with slow reduction (SS group). The cumulative fluid balance within 3 days of ICU admission of the MF group, LF group, MS group, and SS group were 8.60% (5.15%, 11.70%), 16.70% (13.00%, 21.02%), 23.40% (19.38%, 25.45%), and 0.65% (-2.35%, 2.20%), respectively, and the incidence of CRRT during ICU hospitalization were 11.02%, 29.55%, 85.00%, and 8.33%, respectively, with statistically significant differences among the groups (both P < 0.05); the 28-day mortality were 11.02%, 18.18%, 20.00%, and 11.67%, respectively, with no statistically significant difference among the groups (P > 0.05). Kaplan-Meier survival curve analysis showed there was no statistically significant difference in 28-day cumulative survival rate among groups with different fluid balance trajectories (Log-rank test: χ ² = 2.31, P = 0.509). Multivariate Logistic regression analysis showed that cumulative fluid balance within 3 days of ICU admission was an independent risk factor for 28-day mortality [odds ratio (OR) = 1.071, 95% confidence interval (95%CI) was 1.005-1.144, P = 0.040] and CRRT requirement (OR = 1.233, 95%CI was 1.125-1.372, P < 0.001); early aggressive fluid resuscitation on day 1 reduced CRRT risk (OR = 0.866, 95%CI was 0.756-0.978, P = 0.030). CONCLUSIONS Dynamic fluid management is essential in SAP patients. While early aggressive fluid resuscitation may reduce CRRT demand, excessive cumulative fluid balance is associated with increased 28-day mortality and CRRT incidence.
Humans ; Male ; Female ; Middle Aged ; Water-Electrolyte Balance ; Continuous Renal Replacement Therapy ; Intensive Care Units ; Aged ; Adult ; Pancreatitis/mortality* ; Logistic Models ; Retrospective Studies ; Renal Replacement Therapy

Objective:To summarize the clinical phenotypes, genotypes, and treatment outcomes of NPRL2-related epilepsy. Methods:This was a case summary.Clinical data of patients with NRPL2 variants admitted to the Department of Pediatrics, Peking University People′s Hospital between October 1, 2013 and October 31, 2023 were retrospectively analyzed.Previous reports of patients with the same disease were reviewed. Results:Six cases of NPRL2-related epilepsy were collected, and 37 cases were reported in the previous literatures.The age of onset ranged from 3 days to 18 years with the median age of 24 months.There were 15 patients with onset in infancy.Among the 41 patients diagnosed with epilepsy, 73.1% (30/41) had focal seizures, 34.1% (14/41) had frontal lobe epilepsy, and 17.1% (7/41) had epileptic spasms.Among the patients with known cranial imaging, 58.6% (17/29) had cortical malformations. NPRL2 variants involved 11 nonsense mutations, 10 splice site mutations, 7 frameshift mutations, 1 large fragment deletion, and 14 missense mutations; among them, 39 mutations were pathogenic or likely pathogenic, while the rest 4 mutations had unclear pathogenicity.Among the 27 patients with known outcomes, 11 (40.7%) had no seizures after administration of 1 or 2 types of drugs, and 16 (59.2%) had drug-resistant epilepsy.Among the 16 patients, 1 had no seizures after treatment with 3 types of anti seizure medications, and 7 had no seizures after surgery.Most patients had varying degrees of delay in intellectual and motor development. Conclusions:Patients with NPRL2 variants usually present with frequent focal seizures and epileptic spasms, and the age of onset varies greatly.About half of the patients have drug-resistant epilepsy, half of whom have cortical malformations.For those with drug-resistant epilepsy and abnormal cranial imaging, surgery may be considered.

Objective:To summarize the phenotype and genotype of leukoencephalopathy with calcifications and cysts(LCC).Methods:A case summary.Clinical, imaging, and genetic data of 2 patients with early-onset LCC admitted to the Department of Pediatrics, Peking University People′s Hospital between December 2023 and August 2024 were retrospectively summarized.A review of the literature was also conducted.Results:Case 1: a 19-month-old female infant presented with febrile seizures in infancy and mild developmental delay.Trio whole-exome sequencing (trio-WES) identified compound heterozygous pathogenic variants in the SNORD118 gene: n.92C>T (paternally inherited) and n. 72A>G (maternally inherited). Case 2: an 11-year-and-4-month-old girl had non-specific encephalopathy in the neonatal period, developmental delay with regression, and seizures since early childhood.Trio-WES revealed compound heterozygous pathogenic variants in SNORD118: n.3C>T (paternally inherited) and n. 57G>C (maternally inherited). Both cases showed typical imaging findings of leukoencephalopathy, intracranial calcifications, and cysts.Case 2 has been treated with Bevacizumab for 3 months and remains under follow-up.Combining this 2 cases with previously reported genetically confirmed cases, a total of 97 LCC patients with identified SNORD118 variants were analyzed.The median age of onset was 5 years.Seventy-one cases had childhood onset, including 31 cases with onset at ≤1 year.The inaugural symptoms were: seizures in 40 patients (41.2%), motor disorders in 25 patients (25.8%), developmental delay or cognitive impairment in 19 patients (19.6%) and headaches or increased intracranial pressure in 13 patients (13.4%). Neurological dysfunctions progress during the course.All patients had typical leukoencephalopathy, intracranial calcifications and cysts, with varied imaging progress.A total of 61 variants of SNORD118 were reported and most were compound heterozygous variants.Treatment is primarily symptomatic.Three out of the 4 patients treated with Bevacizumab showed improvement. Conclusions:LCC is a rare autosomal recessive inherited cerebral microangiopathy, characterized by progressive neurological dysfunction and radiological triad of diffuse and asymmetric leukoencephalopathy, intracranial calcifications and cysts.Patients with pathogenic SNORD118 variants should definitely be diagnosed.Symptomatic treatment is the mainstay therapy and Bevacizumab may slow down the progression.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Objective To investigate the protective effect and mechanism of adenosine-lidocaine-magnesium sulfate(ALM)resuscita-tion solution against acute lung injury in sepsis were investigated through in vitro and in vivo experiments.Methods ALM resuscitation solution effects on septic lung injury were assessed in SD rats and rat pulmonary micro vascular endothelial cells(PMVEC)in vitro,and the effector mechanism was explored by using network pharmacology combined with molecular biology methods,detecting alterations in nuclear factor kappaB(NF-κB)signaling pathway and inflammatory cytokine key protein expressions.Results Based on in vivo experi-ments,ALM resuscitation solution treatment significantly improved lung histopathological injury in cecal ligation and puncture(CLP)model rats,reduced the lung injury score and lung dry-to-wet ratio(P＜0.01),and significantly suppressed pro-inflammatory cytokine expressions such as that of IL-1β,IL-6,and TNF-α(P＜0.01).Moreover,in vitro experiments confirmed that ALM resuscitation solution significantly reduced p-p65 and p-IκBα protein expressions in LPS-induced PMVEC(P＜0.05),while down-regulating IL-1β,IL-6,and TNF-α protein levels(P＜0.01).Conclusion ALM resuscitation solution exerts a protective effect against acute lung injury in sepsis by inhibiting NF-κB signaling pathway activation and reducing pro-inflammatory cytokine release.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To investigate the protective effect and mechanism of adenosine-lidocaine-magnesium sulfate(ALM)resuscita-tion solution against acute lung injury in sepsis were investigated through in vitro and in vivo experiments.Methods ALM resuscitation solution effects on septic lung injury were assessed in SD rats and rat pulmonary micro vascular endothelial cells(PMVEC)in vitro,and the effector mechanism was explored by using network pharmacology combined with molecular biology methods,detecting alterations in nuclear factor kappaB(NF-κB)signaling pathway and inflammatory cytokine key protein expressions.Results Based on in vivo experi-ments,ALM resuscitation solution treatment significantly improved lung histopathological injury in cecal ligation and puncture(CLP)model rats,reduced the lung injury score and lung dry-to-wet ratio(P＜0.01),and significantly suppressed pro-inflammatory cytokine expressions such as that of IL-1β,IL-6,and TNF-α(P＜0.01).Moreover,in vitro experiments confirmed that ALM resuscitation solution significantly reduced p-p65 and p-IκBα protein expressions in LPS-induced PMVEC(P＜0.05),while down-regulating IL-1β,IL-6,and TNF-α protein levels(P＜0.01).Conclusion ALM resuscitation solution exerts a protective effect against acute lung injury in sepsis by inhibiting NF-κB signaling pathway activation and reducing pro-inflammatory cytokine release.