Background Silicosis, caused by inhalation of silica (SiO₂) dust, remains the most prevalent occupational pneumoconiosis in China. While galectin-3 (Gal-3) is known to play pro-inflammatory and pro-fibrotic roles in various diseases, its specific mechanism in the pathogenesis of silicosis has not been fully clarified. Objective To investigate the role and underlying mechanisms of Gal-3 in silicosis using clinical samples of silicosis and a silicosis mouse model. Methods Lung nodule biopsy samples were collected from patients with stage III pneumoconiosis. Concurrently a silicosis mouse model was constructed via non-exposed tracheal intubation with instillation of a SiO₂ suspension. The expression levels of Gal-3 mRNA and protein in the lung tissues of the silicosis model mice were then detected using real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) staining. Single-cell transcriptomic sequencing (scRNA-seq) was performed on both human and murine lung samples to analyze the expression of the Gal-3-encoding gene Lgals3 across different cell types. In vitro, RAW264.7 macrophages were treated with varying concentrations of SiO₂ suspension for 24 h and 48 h; the expression levels of Gal-3 mRNA and protein were measured by RT-qPCR and Western blot. The Gal-3 inhibitor TD139 was used to intervene in the SiO₂-induced in vitro macrophage model, and Western blot was used to detect the intracellular expression of interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and transforming growth factor-β1 (TGF-β1). Finally, mouse embryonic lung fibroblasts NIH/3T3 and Mlg2908 were treated with varying concentrations of recombinant mouse Gal-3 protein (rmGal-3) for 48 h, and Western blot was used to detect the expression of fibrosis markers [(Collagen I, Collagen III, Fibronectin, and α smooth muscle actin (α-SMA)] and proteins associated with the TGF-β1/Smads signaling pathway. Results RT-qPCR and IHC staining showed that both the gene and protein expression levels of Gal-3 were significantly elevated at all consecutive time points in the silicosis mouse model (P < 0.05). scRNA-seq revealed that Lgals3 was aberrantly highly expressed in lung tissues from pneumoconiosis patients and silicosis mouse models, with the highest expression observed in macrophages. After treatment of macrophages with different concentrations of SiO₂ for 24 h and 48 h, the mRNA and protein expression levels of Gal-3 were significantly upregulated compared with the control group (P < 0.05). Following TD139 intervention, the protein expression levels of IL-1β, TNF-α, and TGF-β1 in dust-exposed macrophages were markedly downregulated (P < 0.0001). After 48 h of stimulation with rmGal-3, the protein expression levels of Collagen I, Fibronectin, and α-SMA in mouse embryonic lung fibroblasts (NIH/3T3 and Mlg2908) were significantly increased in all treatment groups compared with the control group (P < 0.01). Moreover, Gal-3 treatment markedly upregulated TGF-β1 protein expression in Mlg2908 cells and enhanced the phosphorylation levels of Smad2 and Smad3 (P < 0.0001). Conclusion Gal-3 is abnormally expressed in silicotic lung tissues, which primarily originates from macrophages, and inhibition of Gal-3 suppresses SiO₂-induced inflammatory and pro-fibrotic responses. In addition, Gal-3 promotes fibroblast differentiation and extracellular matrix production by activating the TGF-β1/Smads signaling pathway.

Background Silicosis, caused by inhalation of silica (SiO₂) dust, remains the most prevalent occupational pneumoconiosis in China. While galectin-3 (Gal-3) is known to play pro-inflammatory and pro-fibrotic roles in various diseases, its specific mechanism in the pathogenesis of silicosis has not been fully clarified. Objective To investigate the role and underlying mechanisms of Gal-3 in silicosis using clinical samples of silicosis and a silicosis mouse model. Methods Lung nodule biopsy samples were collected from patients with stage III pneumoconiosis. Concurrently a silicosis mouse model was constructed via non-exposed tracheal intubation with instillation of a SiO₂ suspension. The expression levels of Gal-3 mRNA and protein in the lung tissues of the silicosis model mice were then detected using real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) staining. Single-cell transcriptomic sequencing (scRNA-seq) was performed on both human and murine lung samples to analyze the expression of the Gal-3-encoding gene Lgals3 across different cell types. In vitro, RAW264.7 macrophages were treated with varying concentrations of SiO₂ suspension for 24 h and 48 h; the expression levels of Gal-3 mRNA and protein were measured by RT-qPCR and Western blot. The Gal-3 inhibitor TD139 was used to intervene in the SiO₂-induced in vitro macrophage model, and Western blot was used to detect the intracellular expression of interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and transforming growth factor-β1 (TGF-β1). Finally, mouse embryonic lung fibroblasts NIH/3T3 and Mlg2908 were treated with varying concentrations of recombinant mouse Gal-3 protein (rmGal-3) for 48 h, and Western blot was used to detect the expression of fibrosis markers [(Collagen I, Collagen III, Fibronectin, and α smooth muscle actin (α-SMA)] and proteins associated with the TGF-β1/Smads signaling pathway. Results RT-qPCR and IHC staining showed that both the gene and protein expression levels of Gal-3 were significantly elevated at all consecutive time points in the silicosis mouse model (P < 0.05). scRNA-seq revealed that Lgals3 was aberrantly highly expressed in lung tissues from pneumoconiosis patients and silicosis mouse models, with the highest expression observed in macrophages. After treatment of macrophages with different concentrations of SiO₂ for 24 h and 48 h, the mRNA and protein expression levels of Gal-3 were significantly upregulated compared with the control group (P < 0.05). Following TD139 intervention, the protein expression levels of IL-1β, TNF-α, and TGF-β1 in dust-exposed macrophages were markedly downregulated (P < 0.0001). After 48 h of stimulation with rmGal-3, the protein expression levels of Collagen I, Fibronectin, and α-SMA in mouse embryonic lung fibroblasts (NIH/3T3 and Mlg2908) were significantly increased in all treatment groups compared with the control group (P < 0.01). Moreover, Gal-3 treatment markedly upregulated TGF-β1 protein expression in Mlg2908 cells and enhanced the phosphorylation levels of Smad2 and Smad3 (P < 0.0001). Conclusion Gal-3 is abnormally expressed in silicotic lung tissues, which primarily originates from macrophages, and inhibition of Gal-3 suppresses SiO₂-induced inflammatory and pro-fibrotic responses. In addition, Gal-3 promotes fibroblast differentiation and extracellular matrix production by activating the TGF-β1/Smads signaling pathway.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective·To investigate the role and mechanism of sirtuin 5(SIRT5)in pulmonary microvascular endothelial cell injury in sepsis.Methods·Wild-type(WT)and Sirt5 gene knockout C57BL/6 male mice underwent cecal ligation and puncture(CLP)surgery.Following euthanasia,lung tissues were collected.Pulmonary inflammation was assessed using hematoxylin and eosin(H-E)staining;vascular leakage was evaluated by Evans blue(EB)staining;coagulation function in mice was analyzed via immunofluorescence staining of lung tissues.Immunohistochemical staining was employed to detect vascular cell adhesion molecule-1(VCAM-1)protein expression,thereby assessing endothelial inflammation in CLP-treated mice.By using gene editing technology,SIRT5 was knocked down or overexpressed in human umbilical vein endothelial cells(HUVECs),and the cells were subsequently stimulated with lipopolysaccharide(LPS)to induce endothelial inflammation.Protein expression levels of VCAM-1,tissue factor(TF),and other endothelial injury markers were detected by Western blotting,and inflammatory cytokines such as interleukin-6(IL-6)and IL-1β,were detected by quantitative real-time PCR(qPCR).In addition,transcriptomic sequencing was performed on HUVECs overexpressing SIRT5,and key genes including F2R-like thrombin or trypsin receptor 3(F2RL3),serpin family A member 3(SERPINA3),and transforming growth factor β2/β3(TGF-β2/3)were validated by qPCR.Results·Sirt5 knockout significantly aggravated lung injury in CLP mice,reducing their survival rates(P<0.001).H-E staining showed increased inflammatory infiltration in the lung tissue of the mice,while EB staining indicated increased vascular leakage(P<0.001).Immunofluorescence revealed elevated fibrinogen deposition.In HUVECs with SIRT5 knockdown,the protein levels of VCAM-1 and TF,as well as the mRNA levels of inflammatory factors including IL-6,IL-1β,VCAM-1,and E-selectin,were significantly upregulated(all P<0.001),whereas overexpression of SIRT5 reversed these effects.Transcriptome sequencing analysis indicated that SIRT5 regulated endothelial inflammation and coagulation responses by inhibiting the F2RL3/SERPINA3/TGF-β pathway.Conclusion·SIRT5 negatively regulates the F2RL3/SERPINA3/TGF-β signaling axis,thereby alleviating endothelial inflammation and promoting coagulation responses,suggesting its potential protective role in sepsis-induced lung injury.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.