Objective To find and select stable and specific identification indexes in chest CT images,to establish mathematical models and provide a systematic and scientific identification method.Methods Medical imaging analysis and processing technology were applied to compare the image indexes such as lung apical shadow,double lung texture,trachea,sternum,thoracic morphology,liver,spleen,interlobular fissure morphology,first rib,aorta and thoracic vertebrae morphology of 600 serial chest CT scans of of the same adults at different periods and 600 scans of different adults.Consistency test(Kappa analysis)was applied to determine the consistency of different identification indexes,and to screen out the image identification indexes that were not easily affected by subjective factors and had high consistency;the cumulative exclusion probability method was applied to calculate the combined identification ability of the observation indexes,and select optimal indexes to establish the identification index system.Results Five indexes-left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side demonstrated high consistency across age groups and minimal subjective interference.A combination of any three indexes achieved＞99.99％discrimination probability for homologous versus non-homologous sources identification.Conclusion The independent or combined use of the indexes of left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side enables individual identification in adult chest CT under different imaging conditions.

The NOD-like receptor protein 3(NLRP3)inflammasome is essential in innate immune-mediated inflammation,with its overactivation implicated in various autoinflammatory,metabolic,and neurode-generative diseases.Pharmacological inhibition of NLRP3 offers a promising treatment strategy for in-flammatory conditions,although no medications targeting the NLRP3 inflammasome are currently available.This study demonstrates that clioquinol(CQ),a clinical drug with chelating properties,effec-tively inhibits NLRP3 activation,resulting in reduced cytokine secretion and cell pyroptosis in both human and mouse macrophages,with a half maximal inhibitory concentration(IC50)of 0.478 μM.Additionally,CQ mitigates experimental acute peritonitis,gouty arthritis,sepsis,and colitis by lowering serum levels of interleukin-1β(IL-1β),IL-6,and tumor necrosis factor-α(TNF-α).Mechanistically,CQ covalently binds to Arginine 335(R335)in the NACHT domain,inhibiting NLRP3 inflammasome assembly and blocking the interaction between NLRP3 and its component protein.Collectively,this study identifies CQ as an effective natural NLRP3 inhibitor and a potential therapeutic agent for NLRP3-driven diseases.

The NOD-like receptor protein 3 (NLRP3) inflammasome is essential in innate immune-mediated inflammation, with its overactivation implicated in various autoinflammatory, metabolic, and neurodegenerative diseases. Pharmacological inhibition of NLRP3 offers a promising treatment strategy for inflammatory conditions, although no medications targeting the NLRP3 inflammasome are currently available. This study demonstrates that clioquinol (CQ), a clinical drug with chelating properties, effectively inhibits NLRP3 activation, resulting in reduced cytokine secretion and cell pyroptosis in both human and mouse macrophages, with a half maximal inhibitory concentration (IC₅₀) of 0.478 μM. Additionally, CQ mitigates experimental acute peritonitis, gouty arthritis, sepsis, and colitis by lowering serum levels of interleukin-1β (IL-1β), IL-6, and tumor necrosis factor-α (TNF-α). Mechanistically, CQ covalently binds to Arginine 335 (R335) in the NACHT domain, inhibiting NLRP3 inflammasome assembly and blocking the interaction between NLRP3 and its component protein. Collectively, this study identifies CQ as an effective natural NLRP3 inhibitor and a potential therapeutic agent for NLRP3-driven diseases.

Objective To find and select stable and specific identification indexes in chest CT images,to establish mathematical models and provide a systematic and scientific identification method.Methods Medical imaging analysis and processing technology were applied to compare the image indexes such as lung apical shadow,double lung texture,trachea,sternum,thoracic morphology,liver,spleen,interlobular fissure morphology,first rib,aorta and thoracic vertebrae morphology of 600 serial chest CT scans of of the same adults at different periods and 600 scans of different adults.Consistency test(Kappa analysis)was applied to determine the consistency of different identification indexes,and to screen out the image identification indexes that were not easily affected by subjective factors and had high consistency;the cumulative exclusion probability method was applied to calculate the combined identification ability of the observation indexes,and select optimal indexes to establish the identification index system.Results Five indexes-left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side demonstrated high consistency across age groups and minimal subjective interference.A combination of any three indexes achieved＞99.99％discrimination probability for homologous versus non-homologous sources identification.Conclusion The independent or combined use of the indexes of left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side enables individual identification in adult chest CT under different imaging conditions.

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 correlation between carotid intima-media thickness (CIMT) and left atrial and left ventricular enlargement in patients with acute cerebral infarction. Methods A total of 224 patients with acute cerebral infarction were included. Based on the thickness of CIMT, it was divided into three groups which were normal CIMT group, thickening CIMT group, and carotid plaque (CP) group, with 57, 97, and 70 patients included respectively. Clinical data were collected, and carotid artery color Doppler ultrasound, cardiac color Doppler ultrasound and other examinations were determined to carry out relevant statistical analysis.Results The left anterior-posterior diameter (LAD) , left atrial diameter index (LADI) , left ventricular end-diastolic septal thickness (IVSD) , and left ventricular mass index (LVMI) in the CP group were all higher than those in the normal CIMT group and thickening CIMT group (P < 0.05). The percentage of the left ventricular end-diastolic diameter (LVEDD) and left ventricular ejection fraction (LVEF) took in the thickening CIMT group were both higher than those in the CP group (P < 0.05). Multi-factor logistic regression analysis indicated that there were statistically significant differences in age, homocysteine and left LVMI (P < 0.05). In the Pearson correlation analysis, CIMT and LADI were positively correlated (r= 0.184, P < 0.01) , and there was a positive correlation between CIMT and LVMI (r = 0.236, P < 0.01). Conclusions Left ventricular enlargement is one of the highrisk factors for CIMT abnormalities in patients with acute cerebral infarction. Left atrial and left ventricular enlargement are closely correlated to the severity of CIMT in patients with acute cerebral infarction, indicating that abnormal CIMT in patients with acute cerebral infarction has a certain predictive effect on left atrial and left ventricular enlargement.