The cardioprotective effects of histone deacetylase (HDAC) inhibitors (HDIs) are at odds with the deleterious effects of HDAC depletion. Here, we use HDAC3 as a prototype HDAC to address this contradiction. We show that adult-onset cardiac-specific depletion of HDAC3 in mice causes cardiac hypertrophy and contractile dysfunction on a high-fat diet (HFD), excluding developmental disruption as a major reason for the contradiction. Genetically abolishing HDAC3 enzymatic activity without affecting its protein level does not cause cardiac dysfunction on HFD. HDAC3 depletion causes robust downregulation of lipid oxidation/bioenergetic genes and upregulation of antioxidant/anti-apoptotic genes. In contrast, HDAC3 enzyme activity abolishment causes much milder changes in far fewer genes. The abnormal gene expression is cardiomyocyte-autonomous and can be rescued by an enzyme-dead HDAC3 mutant but not by an HDAC3 mutant (Δ33-70) that lacks interaction with the nuclear-envelope protein lamina-associated polypeptide 2β (LAP2β). Tethering LAP2β to the HDAC3 Δ33-70 mutant restored its ability to rescue gene expression. Finally, HDAC3 depletion, not loss of HDAC3 enzymatic activity, exacerbates cardiac contractile functions upon aortic constriction. These results suggest that the cardiac function of HDAC3 in adults is not attributable to its enzyme activity, which has implications for understanding the cardioprotective effects of HDIs.

OBJECTIVES: This study aimed to observe the effects of initial periodontal therapy on the level of neutrophil extracellular traps (NETs) in gingival crevicular fluid (GCF) of patients with severe periodontitis and to analyze the factors related to the formation of NETs. METHODS: Thirty-one patients with stage Ⅲ-Ⅳ periodontitis were recruited. Clinical periodontal parameters, including plaque index (PLI), gingival index (GI), probing depth (PD), and clinical atta-chment loss (CAL), were recorded before and 6-8 weeks after initial periodontal therapy. Levels of NETs in GCF were detected by immunofluorescence staining. Quantities of total bacteria, Porphyromonas gingivalis (P. gingivalis), Aggregatibacter actinomycetemcomitans (A. actionomycetemcomitans) and Prevotella intermedia (P. intermedia)in unattached subgingival plaque were determined by real-time quantitative PCR, and levels of tumor necrosis factor-α (TNF-α) and interleukin-8 (IL-8) in GCF were explored by enzyme-linked immunosorbent assay. In addition, the correlations between the level of NETs and the above indicators were analyzed. RESULTS: After initial periodontal therapy, the level of NETs in GCF, PLI, GI, PD, and CAL; quantities of total bacteria, P. gingivalis, A. actinomycetemcomitans, and P. itermedia; and levels of IL-8 and TNF-α significantly decreased (P<0.05). We observed strong positive correlations between the level of NETs and PLI, GI, PD, CAL, the amount of total bacteria, P. gingivalis, TNF-α, and IL-8 (P<0.05). CONCLUSIONS Initial periodontal therapy might decrease the level of NETs in GCF from patients with severe periodontitis, which might be positively correlated with the quantities of P. gingivalis andthe levels of TNF-α and IL-8 in GCF.
Humans ; Gingival Crevicular Fluid ; Extracellular Traps/metabolism* ; Porphyromonas gingivalis/isolation & purification* ; Aggregatibacter actinomycetemcomitans/isolation & purification* ; Periodontitis/metabolism* ; Tumor Necrosis Factor-alpha/analysis* ; Prevotella intermedia/isolation & purification* ; Interleukin-8/analysis* ; Male ; Female ; Middle Aged ; Periodontal Index ; Adult

The World Health Organization (WHO) classification serves as the internationally recognized standard for diagnosing and classifying hematopoietic and lymphoid tissue tumors(WHO-HEAM). Since 2001, it has undergone multiple upgrades and revisions, updating, clarifying, and refining previous tumor diagnostic and classification standards while incorporating numerous new genetic and molecular biological subtypes. In 2022, two classification proposals emerged due to a wealth of clinical and scientific research results: the fifth edition of the WHO hematopoietic and lymphoid tissue classification (WHO-HAEM5), published in Leukemia journal; and the International Consensus Classification (ICC), published in Blood journal. These two schemes differ in their approach to classifying hematopoietic and lymphoid tissue tumors, posing challenges for clinical laboratory diagnosis and treatment.

A series of chemotherapeutic drugs that induce DNA damage, such as cisplatin (DDP), are standard clinical treatments for ovarian cancer, testicular cancer, and other diseases that lack effective targeted drug therapy. Drug resistance is one of the main factors limiting their application. Sensitizers can overcome the drug resistance of tumor cells, thereby enhancing the antitumor activity of chemotherapeutic drugs. In this study, we aimed to identify marketable drugs that could be potential chemotherapy sensitizers and explore the underlying mechanisms. We found that the alcohol withdrawal drug disulfiram (DSF) could significantly enhance the antitumor activity of DDP. JC-1 staining, propidium iodide (PI) staining, and western blotting confirmed that the combination of DSF and DDP could enhance the apoptosis of tumor cells. Subsequent RNA sequencing combined with Gene Set Enrichment Analysis (GSEA) pathway enrichment analysis and cell biology studies such as immunofluorescence suggested an underlying mechanism: DSF makes cells more vulnerable to DNA damage by inhibiting the Fanconi anemia (FA) repair pathway, exerting a sensitizing effect to DNA damaging agents including platinum chemotherapy drugs. Thus, our study illustrated the potential mechanism of action of DSF in enhancing the antitumor effect of DDP. This might provide an effective and safe solution for combating DDP resistance in clinical treatment.
Female ; Male ; Humans ; Cisplatin/pharmacology* ; Disulfiram/pharmacology* ; Testicular Neoplasms/drug therapy* ; Fanconi Anemia/drug therapy* ; Alcoholism/drug therapy* ; Drug Resistance, Neoplasm ; Cell Line, Tumor ; Substance Withdrawal Syndrome/drug therapy* ; Apoptosis ; Antineoplastic Agents/therapeutic use* ; Cell Proliferation

BACKGROUND: The effect of intra-operative chemotherapy (IOC) on the long-term survival of patients with colorectal cancer (CRC) remains unclear. In this study, we evaluated the independent effect of intra-operative infusion of 5-fluorouracil in combination with calcium folinate on the survival of CRC patients following radical resection. METHODS: 1820 patients were recruited, and 1263 received IOC and 557 did not. Clinical and demographic data were collected, including overall survival (OS), clinicopathological features, and treatment strategies. Risk factors for IOC-related deaths were identified using multivariate Cox proportional hazards models. A regression model was developed to analyze the independent effects of IOC. RESULTS: Proportional hazard regression analysis showed that IOC (hazard ratio [HR]=0.53, 95% confidence intervals [CI] [0.43, 0.65], P  < 0.001) was a protective factor for the survival of patients. The mean overall survival time in IOC group was 82.50 (95% CI [80.52, 84.49]) months, and 71.21 (95% CI [67.92, 74.50]) months in non-IOC group. The OS in IOC-treated patients were significantly higher than non-IOC-treated patients ( P  < 0.001, log-rank test). Further analysis revealed that IOC decreased the risk of death in patients with CRC in a non-adjusted model (HR=0.53, 95% CI [0.43, 0.65], P  < 0.001), model 2 (adjusted for age and gender, HR=0.52, 95% CI [0.43, 0.64], P  < 0.001), and model 3 (adjusted for all factors, 95% CI 0.71 [0.55, 0.90], P  = 0.006). The subgroup analysis showed that the HR for the effect of IOC on survival was lower in patients with stage II (HR = 0.46, 95% CI [0.31, 0.67]) or III disease (HR=0.59, 95% CI [0.45, 0.76]), regardless of pre-operative radiotherapy (HR=0.55, 95% CI [0.45, 0.68]) or pre-operative chemotherapy (HR=0.54, 95% CI [0.44, 0.66]). CONCLUSIONS: IOC is an independent factor that influences the survival of CRC patients. It improved the OS of patients with stages II and III CRC after radical surgery. TRIAL REGISTRATION chictr.org.cn, ChiCTR 2100043775.
Humans ; Fluorouracil/therapeutic use* ; Leucovorin/therapeutic use* ; Colorectal Neoplasms/pathology* ; Retrospective Studies ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Proportional Hazards Models ; Prognosis

Acute respiratory tract infection is the most common infectious disease in children, which seriously threatens children′s health.Rapid and accurate etiological diagnosis is of great significance for the clinical treatment and control of these diseases.Pathogen nucleic acid test was applied and became the main method of respiratory tract infection diagnosis for its high sensitivity and specificity.To regulate the application of pathogen nucleic acid amplification test in respiratory tract infection in children, improve the diagnosis level, expert consensus on nucleic acid amplification test of respiratory pathogens in children was prepared to guide the application and promote pathogens diagnosis ability.

Nonpharmaceutical interventions (NPIs) have been commonly deployed to prevent and control the spread of the coronavirus disease 2019 (COVID-19), resulting in a worldwide decline in influenza prevalence. However, the influenza risk in China warrants cautious assessment. We conducted a cross-sectional, seroepidemiological study in Shandong Province, Northern China in mid-2021. Hemagglutination inhibition was performed to test antibodies against four influenza vaccine strains. A combination of descriptive and meta-analyses was adopted to compare the seroprevalence of influenza antibodies before and during the COVID-19 pandemic. The overall seroprevalence values against A/H1N1pdm09, A/H3N2, B/Victoria, and B/Yamagata were 17.8% (95% CI 16.2%-19.5%), 23.5% (95% CI 21.7%-25.4%), 7.6% (95% CI 6.6%-8.7%), and 15.0 (95% CI 13.5%-16.5%), respectively, in the study period. The overall vaccination rate was extremely low (2.6%). Our results revealed that antibody titers in vaccinated participants were significantly higher than those in unvaccinated individuals (P < 0.001). Notably, the meta-analysis showed that antibodies against A/H1N1pdm09 and A/H3N2 were significantly low in adults after the COVID-19 pandemic (P < 0.01). Increasing vaccination rates and maintaining NPIs are recommended to prevent an elevated influenza risk in China.

Sequencing-based spatial transcriptomics(ST)is an emerging technology to study in situ gene expression patterns at the whole-genome scale.Currently,ST data analysis is still complicated by high technical noises and low resolution.In addition to the transcriptomic data,matched histopathological images are usually generated for the same tissue sample along the ST experiment.The matched high-resolution histopathological images provide complementary cellular phenotypi-cal information,providing an opportunity to mitigate the noises in ST data.We present a novel ST data analysis method called transcriptome and histopathological image integrative analysis for ST(TIST),which enables the identification of spatial clusters(SCs)and the enhancement of spatial gene expression patterns by integrative analysis of matched transcriptomic data and images.TIST devises a histopathological feature extraction method based on Markov random field(MRF)to learn the cellular features from histopathological images,and integrates them with the transcrip-tomic data and location information as a network,termed TIST-net.Based on TIST-net,SCs are identified by a random walk-based strategy,and gene expression patterns are enhanced by neighborhood smoothing.We benchmark TIST on both simulated datasets and 32 real samples against several state-of-the-art methods.Results show that TIST is robust to technical noises on multiple analysis tasks for sequencing-based ST data and can find interesting microstructures in dif-ferent biological scenarios.TIST is available at http://lifeome.net/software/tist/and https://ngdc.cncb.ac.cn/biocode/tools/BT007317.

Gastric cancer has high morbidity and mortality, and limited treatment options for advanced cancer. In recent years, with the advent of targeted drugs (including VEGFR-2 antagonists, anti-HER-2 antibodies) and immunotherapeutics (such as anti-CTLA-4 antibodies, anti-PD-1/PD-L1 antibodies), the efficacy of advanced gastric cancer has been increased. Currently, the clinical data of PD-1 and its ligand PD-L1 inhibitors have achieved phased success, but which factors affect the efficacy of PD-1/PD-L1 immune checkpoint inhibitors immunotherapy, and how to select the benefited patient population and establish the prognosis evaluation system are the urgent problems to be solved. Therefore, this review elaborated the factors affecting the immunotherapy effects of PD-1/PD-L1 inhibitors from the aspects of systemic chemotherapy, intestinal microbiota, MSI, Hp infection, Epstein-Barr virus, TMB, and tumor infiltrating lymphocytes, in order to provide new ideas for clinical work.

Fetal electrocardiogram signal extraction is of great significance for perinatal fetal monitoring. In order to improve the prediction accuracy of fetal electrocardiogram signal, this paper proposes a fetal electrocardiogram signal extraction method (GA-LSTM) based on genetic algorithm (GA) optimization with long and short term memory (LSTM) network. Firstly, according to the characteristics of the mixed electrocardiogram signal of the maternal abdominal wall, the global search ability of the GA is used to optimize the number of hidden layer neurons, learning rate and training times of the LSTM network, and the optimal combination of parameters is calculated to make the network topology and the mother body match the characteristics of the mixed signals of the abdominal wall. Then, the LSTM network model is constructed using the optimal network parameters obtained by the GA, and the nonlinear transformation of the maternal chest electrocardiogram signals to the abdominal wall is estimated by the GA-LSTM network. Finally, using the non-linear transformation obtained from the maternal chest electrocardiogram signal and the GA-LSTM network model, the maternal electrocardiogram signal contained in the abdominal wall signal is estimated, and the estimated maternal electrocardiogram signal is subtracted from the mixed abdominal wall signal to obtain a pure fetal electrocardiogram signal. This article uses clinical electrocardiogram signals from two databases for experimental analysis. The final results show that compared with the traditional normalized minimum mean square error (NLMS), genetic algorithm-support vector machine method (GA-SVM) and LSTM network methods, the method proposed in this paper can extract a clearer fetal electrocardiogram signal, and its accuracy, sensitivity, accuracy and overall probability have been better improved. Therefore, the method could extract relatively pure fetal electrocardiogram signals, which has certain application value for perinatal fetal health monitoring.
Algorithms ; Electrocardiography ; Female ; Fetal Monitoring ; Humans ; Memory, Short-Term ; Pregnancy ; Support Vector Machine