Alcohol consumption as a risk factor for anti-tuberculosis drug induced liver injury: A systematic review and meta-analysis.

BACKGROUND: Tuberculosis (TB) is a major infectious disease in the world, and liver injury caused by anti-tuberculosis (ATTB) drugs is an important reason for reduced patient compliance with ATTB treatment. At present, there is controversy over the role of alcohol consumption in ATTB drugs induced liver injury (ATDILI). METHODS: All data on alcohol consumption and ATDILI were collected from PubMed, Web of Science, Scopus and Embase databases from inception to April 2023. Odds ratio (OR) and 95 % confidence interval (95 % CI) were used for statistical analysis, and Begg test and Egger test were used to evaluate publication bias. RESULTS: A total of 1152 literatures were reviewed, and 53 literatures were included for systematic review and meta-analysis. Studies have found that alcohol consumption increases the risk of ATDILI (OR: 1.55; 95 % CI: 1.19-2.04). And an increased risk of ATDILI was found in both the alcoholic and non-alcoholic subgroups. The Begg test and Egger test showed no publication bias. CONCLUSION: Alcohol consumption is a risk factor for ATDILI in TB patients on treatment. While on ATTB treatment, patients need to reduce alcohol consumption. More research is needed to assess the link between alcohol consumption and ATDILI.

STAT6 promotes innate immunity against BEFV and VSV by inhibiting STUB1 and NIX-mediated MAVS degradation.

Signal transducers and activators of transcription 6 (STAT6), an essential member of the STAT protein family, plays vital roles in innate immunity, however, its function in regulating innate immunity through the degradation of MAVS has not been described. In this study, we found that STAT6 suppresses the replication of both bovine ephemeral fever virus (BEFV) and vesicular stomatitis virus (VSV). Further investigations revealed that STAT6 promotes the type I IFN (IFN-I) signaling pathway in the context of BEFV and VSV infection. Moreover, the knockout of STAT6 leads to the degradation of MAVS through both the ubiquitin-proteasome and autophagolysosomal pathways. Mechanistically, STAT6 results in the downregulation of E3 ubiquitin ligase STIP1 homology and Ubox-containing protein 1 (STUB1), inhibits the interaction between STUB1 and MAVS, and reduces STUB1- mediated K48-linked MAVS ubiquitination, thereby inhibiting the MAVS degradation through the ubiquitin-proteasome pathway. Furthermore, STAT6 also suppresses MAVS degradation through the autophagy receptor Bcl2 interacting protein 3 like (NIX)-mediated autophagy pathway. Taken together, our study unveils a novel mechanism by which STAT6 acts as a positive regulator of the type I IFN signaling pathway during BEFV and VSV infection, predominantly by inhibiting MAVS degradation and ultimately suppressing BEFV and VSV infection. These findings provide valuable insights into the regulation of MAVS degradation by STAT6, which may serve as a basis for the design of novel antiviral agents.

Deciphering the possible role of MmpL7 efflux pump in SQ109 resistance in Mycobacterium tuberculosis.

BACKGROUND: SQ109 is a promising candidate drug for the treatment of patients with drug-resistant tuberculosis (DR-TB). The purpose of this study was to investigate the activity of SQ109 against clinical isolates of Mycobacterium tuberculosis (MTB) from patients with multidrug-resistant TB (MDR-TB) and pre-extensively drug-resistant TB (pre-XDR-TB), and to explore new drug-resistant mechanisms of SQ109. METHODS: We evaluated the in vitro activity of SQ109 against clinical isolates from patients with MDR-TB and pre-XDR-TB using minimal inhibitory concentration (MIC) assay. The drug-resistant gene, mmpL3 of SQ109-resistant strains was sequenced, and a quantitative real-time PCR assay was used to analyze 28 efflux pump genes in SQ109-resistant strains without mmpL3 mutations. The role of candidate efflux pumps mmpL5 and mmpL7 on the MIC of SQ109 was evaluated using recombinantly cloned MmpL5 and MmpL7 expressed in Mycobacterium smegmatis. RESULTS: The MIC90, MIC95 and MIC99 values of SQ109 for 225 clinical isolates of MTB were 0.25 mg/L, 0.5 mg/L and 1.0 mg/L, respectively. Among the pre-XDR strains, six showed resistance to SQ109 despite the absence of gene mutations in mmpL3. In six resistant pre-XDR strains, the MIC of SQ109 decreased with the use of an efflux pump inhibitor, and there was significant upregulation of mmpL5 and mmpL7 in two strains after exposure to SQ109. The presence of MmpL7 in Mycobacterium smegmatis resulted in decreased susceptibility to SQ109, with the MIC increasing from 16 mg/L to 32 mg/L. CONCLUSIONS: Our data demonstrated that SQ109 exhibited excellent levels of in vitro activity against MTB. MmpL7 may be a potential gene for MTB resistance to SQ109, providing a useful target for detecting SQ109 resistance in MTB.

Clinical utilization of artificial intelligence in predicting therapeutic efficacy in pulmonary tuberculosis.

Traditional methods for monitoring pulmonary tuberculosis (PTB) treatment efficacy lack sensitivity, prompting the exploration of artificial intelligence (AI) to enhance monitoring. This review investigates the application of AI in monitoring anti-tuberculosis (ATTB) treatment, revealing its potential in predicting treatment duration, adverse reactions, outcomes, and drug resistance. It provides important insights into the potential of AI technology to enhance monitoring and management of ATTB treatment. Systematic search across six databases from 2013 to 2023 explored AI in forecasting PTB treatment efficacy. Support vector machine and convolutional neural network excel in treatment duration prediction, while random forest, artificial neural network, and classification and regression tree show promise in forecasting adverse reactions and outcomes. Neural networks and random forest are effective in predicting drug resistance. AI advancements offer improved monitoring strategies, better patient prognosis, and pave the way for future AI research in PTB treatment monitoring.

New Insights into Biomarkers for Evaluating Therapy Efficacy in Pulmonary Tuberculosis: A Narrative Review.

Evaluating therapy efficacy is crucial for patients with tuberculosis (TB), especially those with drug-resistant tuberculosis (DR-TB). The World Health Organization currently recommends sputum smear and culture as the standard methods for evaluating pulmonary tuberculosis (PTB) therapy efficacy. However, these approaches have limitations including low sensitivity, lengthy culture periods, and susceptibility to contamination. There is an urgent need for dependable biomarkers to evaluate therapy efficacy in patients with PTB. Numerous new biomarkers of Mycobacterium tuberculosis (MTB) and the host have been used in recent studies to evaluate PTB therapy efficacy. A systematic review and update of these biomarkers can facilitate the discovery of novel biomarkers and assessment models, as well as provide a solid scientific basis for alternative indicators of evaluating therapy efficacy. In this review we summarize the recent advancements and limitations of biomarkers used to monitor therapy efficacy, highlighting the importance of utilizing a combination of biomarkers. Although some biomarkers have potential in evaluating the efficacy of therapy in patients with PTB, they also have some limitations. Further research, validation, and optimization are required to identify the most reliable and effective alternative biomarkers and apply them to clinical practice.

Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers.

BACKGROUND: Dendritic cells (DCs) are most potent antigen-processing cells and play key roles in host defense against Mycobacterium tuberculosis (MTB) infection. In this study, hub genes in DCs during MTB infection were first investigated using bioinformatics approaches and further validated in Monocyte-derived DCs. METHODS: Microarray datasets were obtained from Gene Expression Omnibus (GEO) database. Principal component analysis (PCA) and immune infiltration analysis were performed to select suitable samples for further analysis. Differential analysis and functional enrichment analysis were conducted on DC samples, comparing live MTB-infected and non-infected (NI) groups. The CytoHubba plugin in Cytoscape was used to identify hub genes from the differentially expressed genes (DEGs). The expression of the hub genes was validated using two datasets and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in human monocyte-derived DCs. Enzyme-linked immunosorbent assay (ELISA) was used to validate interferon (IFN) secretion. Transcription factors (TFs) and microRNAs (miRNAs) that interact with the hub genes were predicted using prediction databases. The diagnostic value of the hub genes was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC) values. RESULTS: A total of 1835 common DEGs among three comparison groups (18 h, 48 h, 72 h after MTB infection) were identified. Six DEGs (IFIT1, IFIT2, IFIT3, ISG15, MX1, and RSAD2) were determined as hub genes. Functions enrichment analysis revealed that all hub genes all related to IFN response. RT-qPCR showed that the expression levels of six hub genes were significantly increased after DC stimulated by live MTB. According to the results of ELISA, the secretion of IFN-γ, but not IFN-α/ß, was upregulated in MTB-stimulated DCs. AUC values of six hub genes ranged from 84 to 94% and AUC values of 5 joint indicators of two hub genes were higher than the two hub genes alone. CONCLUSION: The study identified 6 hub genes associated with IFN response pathway. These genes may serve as potential diagnostic biomarkers in tuberculosis (TB). The findings provide insights into the molecular mechanisms involved in the host immune response to MTB infection and highlight the diagnostic potential of these hub genes in TB.

Eligibility for elective surgery in patients recovering from mild COVID-19: A propensity-matched analysis.

OBJECTIVE: To study the timing of surgery after a recent Omicron variant infection, to provide a reference for policymakers, clinicians, and patients. METHODS: This single-center propensity-matched analysis was designed and reported according to the EQUATOR-STROBE guidelines. Patients recovering from COVID-19 infection were divided into three groups based on the period from disappearance of respiratory symptoms to surgery: ≤7 days, 8-14 days, and >14 days groups. Outcome measures included postoperative respiratory complications, vascular thrombosis, myocardial infarction, ischemic stroke, and mortality. RESULTS: Between August 1 and December 31, 2022, 9023 surgical procedures were performed, of which 7490 surgeries met the inclusion criteria. Propensity matching resulted in a final cohort of 227 patients recovered from COVID-19 and 2043 SARS-CoV-2 negative patients. Compared with the SARS-CoV-2 negative group, the incidence of postoperative respiratory complications was significantly higher (15.91% vs. 6.71%, p = 0.028) only in the ≤7 days group. There were no statistically significant differences in the other 30-day outcomes between the SARS-CoV-2 negative and the three COVID-19 recovery groups. CONCLUSIONS: Patients who have recovered from mild COVID-19 may be eligible for elective surgery at least 7 days after recovery, since they do not have an increased risk of postoperative complications or mortality within 30 days.

The ORF7a protein of SARS-CoV-2 initiates autophagy and limits autophagosome-lysosome fusion via degradation of SNAP29 to promote virus replication.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is closely related to various cellular aspects associated with autophagy. However, how SARS-CoV-2 mediates the subversion of the macroautophagy/autophagy pathway remains largely unclear. In this study, we demonstrate that overexpression of the SARS-CoV-2 ORF7a protein activates LC3-II and leads to the accumulation of autophagosomes in multiple cell lines, while knockdown of the viral ORF7a gene via shRNAs targeting ORF7a sgRNA during SARS-CoV-2 infection decreased autophagy levels. Mechanistically, the ORF7a protein initiates autophagy via the AKT-MTOR-ULK1-mediated pathway, but ORF7a limits the progression of autophagic flux by activating CASP3 (caspase 3) to cleave the SNAP29 protein at aspartic acid residue 30 (D30), ultimately impairing complete autophagy. Importantly, SARS-CoV-2 infection-induced accumulated autophagosomes promote progeny virus production, whereby ORF7a downregulates SNAP29, ultimately resulting in failure of autophagosome fusion with lysosomes to promote viral replication. Taken together, our study reveals a mechanism by which SARS-CoV-2 utilizes the autophagic machinery to facilitate its own propagation via ORF7a.Abbreviations: 3-MA: 3-methyladenine; ACE2: angiotensin converting enzyme 2; ACTB/ß-actin: actin beta; ATG7: autophagy related 7; Baf A1: bafilomycin A1; BECN1: beclin 1; CASP3: caspase 3; COVID-19: coronavirus disease 2019; GFP: green fluorescent protein; hpi: hour post-infection; hpt: hour post-transfection; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MERS: Middle East respiratory syndrome; MTOR: mechanistic target of rapamycin kinase; ORF: open reading frame; PARP: poly(ADP-ribose) polymerase; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; shRNAs: short hairpin RNAs; siRNA: small interfering RNA; SNAP29: synaptosome associated protein 29; SQSTM1/p62: sequestosome 1; STX17: syntaxin 17; TCID50: tissue culture infectious dose; TEM: transmission electron microscopy; TUBB, tubulin, beta; ULK1: unc-51 like autophagy activating kinase 1.

Diagnostic accuracy of oral swab for detection of pulmonary tuberculosis: a systematic review and meta-analysis.

Objectives: Tuberculosis (TB) remains a significant concern in terms of public health, necessitating the timely and accurate diagnosis to impede its advancement. The utilization of oral swab analysis (OSA) presents a promising approach for diagnosing pulmonary TB by identifying Mycobacterium tuberculosis (MTB) within oral epithelial cells. Due to disparities in the diagnostic performance of OSA reported in the original studies, we conducted a meticulous meta-analysis to comprehensively assess the diagnostic efficacy of OSA in pulmonary TB. Methods: We conducted a comprehensive investigation across multiple databases, namely PubMed, Cochrane Library, Embase, Web of Science, ClinicalTrials.gov, Chinese BioMedical Literature Database (CBM), China National Knowledge Infrastructure Database (CNKI), and Wanfang China Science and Technology Journal Database to identify relevant studies. Out search query utilized the following keywords: oral swab, buccal swab, tongue swab, tuberculosis, and TB. Subsequently, we employed STATA 16.0 to compute the combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio for both the overall and subgroup analyses. Results: Our findings indicated that OSA has a combined sensitivity of 0.67 and specificity of 0.95 in individuals with pulmonary TB. Subgroup analysis further revealed that among adult individuals with pulmonary TB, the sensitivity and specificity of OSA were 0.73 and 0.93, respectively. In HIV-negative individuals with pulmonary TB, the sensitivity and specificity were 0.68 and 0.98, respectively. The performance of OSA in detecting pulmonary TB correlated with the bacteria load in sputum. Additionally, the sensitivity for diagnosing pulmonary TB using tongue specimens was higher (0.75, 95% CI: 0.65-0.83) compared to cheek specimens (0.52, 95% CI: 0.34-0.70), while both types of specimens demonstrated high specificity. Conclusions: To conclude, oral swabs serve as a promising alternative for diagnosing pulmonary TB, especially in adult patients. In addition, tongue swabs yield better sensitivity than cheek swabs to identify pulmonary TB patients. Systematic review registration: identifier: CRD42023421357.

Predominance of Escherichia-Shigella in Gut Microbiome and Its Potential Correlation with Elevated Level of Plasma Tumor Necrosis Factor Alpha in Patients with Tuberculous Meningitis.

Tuberculous meningitis (TBM), the most lethal and disabling form of tuberculosis (TB), may be related to gut microbiota composition, warranting further study. Here we systematically compared gut microbiota compositions and blood cytokine profiles of TBM patients, pulmonary TB patients, and healthy controls. Notably, the significant gut microbiota dysbiosis observed in TBM patients was associated with markedly high proportions of Escherichia-Shigella species as well as increased blood levels of tumor necrosis factor alpha (TNF-α) and interleukin 6 (IL-6). Next, we obtained a fecal bacterial isolate from a TBM patient and administered it via oral gavage to mice in order to develop a murine gut microbiota dysbiosis model for use in exploring mechanisms underlying the observed relationship between gut microbial dysbiosis and TBM. Thereafter, cells of commensal Escherichia coli (E. coli) were isolated and administered to model mice by gavage and then mice were inoculated with Mycobacterium tuberculosis (M. tuberculosis). Subsequently, these mice exhibited increased blood TNF-α levels accompanied by downregulated expression of tight junction protein claudin-5, increased brain tissue bacterial burden, and elevated central nervous system inflammation relative to corresponding indicators in controls administered PBS by gavage. Thus, our results demonstrated that a signature dysbiotic gut microbiome profile containing a high proportion of E. coli was potentially associated with an increased circulating TNF-α level in TBM patients. Collectively, these results suggest that modulation of dysbiotic gut microbiota holds promise as a new strategy for preventing or alleviating TBM. IMPORTANCE As the most severe form of tuberculosis, the pathogenesis of tuberculous meningitis (TBM) is still unclear. Gut microbiota dysbiosis plays an important role in a variety of central nervous system diseases. However, the relationship between gut microbiota and TBM has not been identified. In our study, significant dysbiosis in gut microbiota composition with a high proportion of E. coli and increased levels of TNF-α in plasma was noted in TBM patients. A commensal E. coli was isolated and shown to increase the plasma level of TNF-α and downregulate brain tight junction protein claudin-5 in the murine model. Gavage administration of E. coli aggravated the bacterial burden and increased the inflammatory responses in the central nervous system after M. tuberculosis infection. Dysbiosis of gut microbiota may be a promising therapeutic target and biomarker for TBM prevention or treatment.

Delamanid suppresses CXCL10 expression via regulation of JAK/STAT1 signaling and correlates with reduced inflammation in tuberculosis patients.

Background: Apart from bactericidal effects, anti-tuberculosis drugs can interfere with the host's immune system. In this study, we analyzed the role of delamanid (DLM), an inhibitor of mycolic acid synthesis of mycobacterial cell wall, on human macrophages. Methods: Based on a cohort of multidrug-resistant tuberculosis (MDR-TB) patients treated with DLM, the levels of C-reaction protein (CRP) and cytokines in the plasma were monitored using immunoturbidimetric assay and flow cytometry, respectively. We investigated the role of DLM on CXCL10 expression in U937 cell model using the following methods: cell viability assay, reverse transcription-quantitative polymerase chain reaction, enzyme linked immunosorbent assay, immunoblot, and transwell co-culture assay. Results: A total of 23 MDR-TB patients were included, comprising of 13 patients treated with optimized background therapeutic regimen (OBR) plus DLM regimen (OBR+DLM) and 10 patients treated with OBR plus placebo. DLM administration was associated with a significant reduce in circulating CRP level. Correspondingly, after treatment, the level of CXCL10 in patients treated with OBR+DLM was significantly lower than that with control. Using cell model, DLM dramatically suppressed CXCL10 expression, which majorly depended on inhibiting the JAK/STAT pathway, and impaired the migration of PBMCs. Conclusion: Our data firstly demonstrate that DLM suppresses CXCL10 expression via regulation of JAK2/STAT1 signaling and correlates with reduced inflammation in MDR-TB patients. DLM could be used as a potential drug for immunotherapy of patients with overactive immune response due to CXCL10.

HDAC6 contributes to human resistance against Mycobacterium tuberculosis infection via mediating innate immune responses.

Tuberculosis (TB), which is caused by Mycobacterium tuberculosis (Mtb), remains a major cause of morbidity and mortality worldwide. Increasing lines of evidence indicate that certain individuals, which are termed resisters, are naturally resistant to TB infection. The resister phenotype has been linked to host efficient innate immune responses, but the underlying mechanisms and the key immune factors remain unclear. Here, we find that upon Mtb infection, monocyte-derived macrophages (MDMs) from TB resisters exhibited distinctly higher production of TNF-α, IL-1ß and IL-6, higher ratio of bacteria in acidic vacuoles, and lower intracellular bacterial loads, as compared to that from the healthy controls, individuals with latent TB infection, and TB patients. Such enhanced anti-Mtb immune capacity of macrophages from resisters largely depends on histone deacetylase 6 (HDAC6), whose expression is specifically maintained in MDMs from TB resisters during Mtb infection. Furthermore, we demonstrate that HDAC6 is required for acidification of Mtb-containing phagosomes in macrophages, thus controlling the intracellular survival of Mtb. Taken together, these findings unravel an indispensable role of HDAC6 in human innate resistance against Mtb infection, suggesting that HDAC6 may serve as a marker for individual TB risk as well as a novel host-directed anti-TB therapeutic target.

Efficacy and safety of ulinastatin on cognitive dysfunction after general anesthesia in elderly patients: A protocol for systematic review and meta-analysis.

BACKGROUND: With the aging of society, the incidence of diseases increases. And along with the increase of surgery rate, the number of elderly patients with postoperative cognitive dysfunction (POCD) is also increasing. POCD seriously affects the mental state and quality of life of patients and their families. Clinical studies have shown that POCD is closely related to inflammatory reaction, and Ulinastatin can inhibit the inflammatory reaction and reduce the incidence of POCD in elderly patients under general anesthesia. However. the effect of Ulinastatin on POCD in elderly patients under general anesthesia has not been systematically evaluated. OBJECTIVE: Meta analysis will be used to evaluate the efficacy and safety of Ulinastatin in elderly patients with general anesthesia POCD during perioperative period. METHODS: We will search China Science and Technology Journal Database Chinese database, China National Knowledge Infrastructure, Wanfang, China biomedical database, PubMed, EMBASE, Cochrane Library and web of science for randomized controlled trials of the effect of Ulinastatin on POCD of elderly patients with general anesthesia from the establishment of the database to November 2020. The 2 researchers will independently screen the literature and conducted quality assessment and data extraction for the included studies, Revman5.3 software will be used for risk assessment and meta analysis. RESULTS: In this study, the efficacy and safety of Ulinastatin in elderly patients with general anesthesia POCD will be evaluated by the incidence of postoperative cognitive impairment, mini mental state examination (Mini-Mental State Examination [MMSE]), visual regeneration, associative memory score, S100 ß protein, tumor necrosis factor α (TNF- α), interleukin 6 (IL-6), IL- 10 inflammatory factors and the incidence of adverse reactions. CONCLUSION: The use of Ulinastatin in perioperative period can significantly reduce the inflammatory level of elderly patients after general anesthesia, effectively prevent the occurrence of POCD and reduce its incidence. ETHICS AND DISSEMINATION: The private information from individuals will not be published. This systematic review also will not involve endangering participant rights. Ethical approval is not required. The results may be published in a peer-reviewed journal or disseminated in relevant conferences. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/GY3V7.

Lung gene expression signatures suggest pathogenic links and molecular markers for pulmonary tuberculosis, adenocarcinoma and sarcoidosis.

Previous reports have suggested a link between pulmonary tuberculosis (TB), which is caused by Mycobacterium tuberculosis (Mtb), and the development of lung adenocarcinoma (LUAD) and sarcoidosis. Furthermore, these lung diseases share certain clinical similarities that can challenge differential diagnosis in some cases. Here, through comparison of lung transcriptome-derived molecular signatures of TB, LUAD and sarcoidosis patients, we identify certain shared disease-related expression patterns. We also demonstrate that MKI67, an over-expressed gene shared by TB and LUAD, is a key mediator in Mtb-promoted tumor cell proliferation, migration, and invasion. Moreover, we reveal a distinct ossification-related TB lung signature, which may be associated with the activation of the BMP/SMAD/RUNX2 pathway in Mtb-infected macrophages that can restrain mycobacterial survival and promote osteogenic differentiation of mesenchymal stem cells. Taken together, these findings provide novel pathogenic links and potential molecular markers for better understanding and differential diagnosis of pulmonary TB, LUAD and sarcoidosis.

Comparison of in vitro Susceptibility of Mycobacteria Against PA-824 to Identify Key Residues of Ddn, the Deazoflavin-Dependent Nitroreductase from Mycobacterium tuberculosis.

OBJECTIVE: PA-824 (Pretomanid), a bicyclic nitroimidazole drug, exhibits significant bactericidal activity toward Mycobacterium tuberculosis (MTB) in vitro and in vivo, but not against Mycobacterium smegmatis. Through catalytic bioreduction, deazaflavin-dependent nitroreductase (Ddn) within MTB directly converts PA-824 to potent bactericidal products. This study aimed to identify key MTB Ddn residues involved in PA-824 conversion toward development of in vitro surrogate markers for detection of mycobacterial resistance to PA-824. METHODS: We evaluated in vitro activity of PA-824 toward MTB and nontuberculous mycobacterial species using antimicrobial susceptibility testing. Ddn amino acid sequence alignments and phylogenetic analysis revealed putative key enzyme active site residues. Candidate MTB Ddn residues required for PA-824 conversion activity were evaluated for loss-of-function using recombinantly cloned Ddn mutant proteins expressed in Mycobacterium smegmatis. RESULTS: PA-824 minimum inhibitory concentrations of 90% of bacterial growth (MIC90s) against MTB and Mycobacterium kansasii were 0.12 mg/L and 8 mg/L, respectively, but >32 mg/L for Mycobacterium spp. M. avium, M. intracellulare, M. abscessus and M. fortuitum. MTB Ddn and M. kansasii Ddn homologous sequences shared the greatest similarity (89.3% amino acid identity). M. smegmatis expressing Ddn proteins with Y65L, A76V or Y133F substitutions (but not V75L, Q125K or V148I) were resistant to PA-824. CONCLUSION: Our data demonstrated that PA-824 exhibited excellent and moderate levels of in vitro activity against MTB and M. kansasii, respectively. Substitutions of Ddn residues Y65, A76 or Y133 conferred mycobacterial resistance to PA-824.

Increased prevalence of levofloxacin-resistant Mycobacterium tuberculosis in China is associated with specific mutations within the gyrA gene.

OBJECTIVES: To compare the prevalence of levofloxacin (LFX) resistance and the population structure of Mycobacterium tuberculosis (MTB) with different mutations conferring LFX resistance between 2005 and 2015. METHODS: A total 542 MTB isolates were randomly selected from pulmonary tuberculosis (TB) patients in 2005 and 2015 and analyzed regarding minimum inhibitory concentrations (MICs) and quinolone resistance-determining regions (QRDR). RESULTS: One hundred and eleven of the 542 MTB isolates analyzed (20.5%) were resistant to LFX. There were 42 and 69 LFX-resistant isolates from 2005 and 2015, respectively, and MIC high-level LFX resistance was significantly higher in 2015 (40.6%, 28/69) than in 2005 (16.7%, 7/42) (p = 0.02). There were 87 (78.4%) mutations of these 111 LFX-resistant isolates. In addition, a significant difference in proportion was observed in the isolates with mutations in codon 90 of the gyrA gene between 2005 and 2015 (11.9% in 2005 versus 29.0% in 2015, p = 0.04). CONCLUSIONS: There was an alarming increase in prevalence of LFX-resistant TB in China between 2005 and 2015. This dynamic change is mostly attributed to the increase in high-level LFX resistance. Moreover, a significant difference was noted in the proportion of LFX-resistant isolates harboring specific mutations within the gyrA gene between 2005 and 2015.

Improved Method for Measuring the Permeability of Nanoporous Material and its Application to Shale Matrix with Ultra-Low Permeability.

Nanoporous materials have a wide range of applications in clean energy and environmental research. The permeability of nanoporous materials is low, which affects the fluid transport behavior inside the nanopores and thus also affects the performance of technologies based on such materials. For example, during the development of shale gas resources, the permeability of the shale matrix is normally lower than 10-3 mD and has an important influence on rock parameters. It is challenging to measure small pressure changes accurately under high pressure. Although the pressure decay method provides an effective means for the measurement of low permeability, most apparatuses and experiments have difficulty measuring permeability in high pressure conditions over 1.38 MPa. Here, we propose an improved experimental method for the measurement of low permeability. To overcome the challenge of measuring small changes in pressure at high pressure, a pressure difference sensor is used. By improving the constant temperature accuracy and reducing the helium leakage rate, we measure shale matrix permeabilities ranging from 0.05 to 2 nD at pore pressures of up to 8 MPa, with good repeatability and sample mass irrelevance. The results show that porosity, pore pressure, and moisture conditions influence the matrix permeability. The permeability of moist shale is lower than that of dry shale, since water blocks some of the nanopores.

Dexmedetomidine mitigates sevoflurane-induced cell cycle arrest in hippocampus.

BACKGROUND: Epidemiologic studies suggest the possibility of a modestly elevated risk of adverse neurodevelopmental outcomes in children exposed to anesthesia during early childhood. Sevoflurane is widely used in pediatric anesthetic practice because of its rapid induction and lower pungency. However, it is reported that sevoflurane leads to the long-term cognitive impairment. Some evidence revealed that the selective α2-adrenoreceptor agonist dexmedetomidine (DEX) exerts neuroprotective effects in various brain injury models of animals. But the role of DEX on sevoflurane-induced neuro-damage remains elusive. MATERIALS AND METHODS: In our study, we isolated the hippocampal neuron cells from newborn neonatal rats and verified the purity of neurons by immunocytochemistry. We employed the flow cytometry and western blot to examine the effect of sevoflurane, DEX and α2-adrenergic receptor antagonist yohimbine on cell cycle distribution. RESULTS: Immunocytochemistry results showed the purity of neurons > 94%, which provided a good model for neural pharmacology experiments. The exposure of sevoflurane-induced cell cycle arrest at S phase and suppressed the expression of brain-derived neurotrophic factor (BDNF) and tyrosine kinase B (TrkB). The addition of DEX suppressed sevoflurane-induced cell cycle arrest and the inhibitory of BDNF and TrkB expression. But the function of DEX was partly blocked by a α2 adrenergic receptor blocker yohimbine. CONCLUSION: Sevoflurane suppressed neuron cell proliferation via inhibiting the expression of BDNF and TrkB, and DEX relieved the neurotoxicity induced by sevoflurane via α2 adrenergic receptor. These findings provided new evidence that DEX exerted as a neuroprotective strategy in sevoflurane-induced neuro-damage, and provided new basis for the clinical application of DEX.

Effects of propofol on cancer development and chemotherapy: Potential mechanisms.

Propofol (2, 6-diisopropylphenol) is the commonly used intravenous sedative-hypnotic agent. Accumulating evidence shows that propofol affects cancer development by direct and indirect ways. In this review, we will provide an overview of the effects of propofol on cancer development and chemotherapy, with a special focus on the underlying molecular mechanisms involved. Propofol regulates both microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), and serves as a regulator of different signaling pathways including hypoxia-inducible factor-1α (HIF-1α), mitogen-activated protein kinase (MAPK), nuclear factor-kappaB (NF-κB), and nuclear factor E2-related factor-2 (Nrf2) pathways. In addition, propofol modulates host immune function. Possible correlation between propofol and cancer should be verified in further studies, including animal trials and prospective clinical studies.