The lung function of patients with occupational pneumoconiosis (hereinafter referred to as "pneumoconiosis") combined with chronic obstructive pulmonary disease (COPD) declines rapidly. Inhaled pharmacotherapy is crucial in the treatment of patients with pneumoconiosis combined with COPD. At present, pressurized metered-dose inhalers, dry powder inhalers, and soft mist inhalers are commonly used to deliver bronchodilators (including long-acting β2-adrenergic agonists, long-acting muscarinic antagonists, or their fixed-dose combinations) in inhaled pharmacotherapy. Peak inspiratory flow (PIF) is a commonly used indicator for evaluating the effectiveness of inhalation therapy. Patients with good coordination of hand and mouth, and a high PIF (≥30 L/min) can be treated with pressurized metered-dose inhalers or dry powder inhalers, whereas patients with poor coordination or insufficient PIF (<30 L/min) should be treated with pressurized metered-dose inhalers combined with a spacer or with nebulizers. In addition, the effectiveness of inhalation therapy is affected by individual factors, such as treatment adherence and pulmonary function, as well as drug-related factors, including the use of inhaled corticosteroids and the selection of bronchodilators. Inhaled pharmacotherapy appears to have substantial potential in the treatment of pneumoconiosis complicated with COPD. Future efforts should focus on the development of more effective inhaled drugs with fewer adverse effects and more user-friendly inhalation devices, as well as on optimizing inhalation treatment regimens to enable precision therapy and improve therapeutic efficacy.

Objective:To report the surveillance results of the distribution and antimicrobial resistance profile of clinical isolates in Anhui province.Methods:Surveillance data from 94 members of the Anhui Antimicrobial Resistance Surveillance Network（HuiNet）from October 2023 to September 2024 were collected，the major drug-resistant bacteria and the resistance to commonly used antibiotics were analyzed. WHONET 5.6 and SPSS 25.0 software were used for data analysis.Results:Among 240 339 clinical strains，Gram-negative bacteria accounted for 75.0%（180 153 strains）. The detected bacteria mainly include Escherichia coli（ n=53 587，22.3%）， Klebsiella pneumoniae（ n=39 774，16.5%）， Pseudomonas aeruginosa（ n=25 505，10.6%）， Staphylococus aureus（ n=19 438，8.1%）， Acinetobacter baumannii complex（ n=14 239，5.9%），and so on. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococcus aureus（MRCNS）were 37.7%（7 112/18 853）and 73.9%（13 221/17 895），respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of carbapenem-resistant Escherichia coli（CREC）and Klebsiella pneumoniae（CRKP）were 1.9%（971/51 991）and 12.3%（4 864/39 414），respectively. The resistance rate of CRKP to tigecycline and polycolistin B was 7.7% and 7.9%，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex and Pseudomonas aeruginosa（CRPA）were 57.9%（8 222/14 198）and 18.2%（4 569/25 052），respectively，with low resistance to polycolistin B（2.0% and 7.2%，respectively）. The detection rates of MRSA，MRCNS，CRAB complex，third-generation cephalosporin-resistant Escherichia coli（3GC-R-EC）and quinolone-resistant Escherichia coli（QREC）in northern Anhui were the highest（46.8%，77.1%，65.6%，57.6% and 55.5%，respectively），which were higher than those in central and southern Anhui（ χ2=107.858 and 566.202，5.950 and 142.223，39.254 and 289.137，135.402 and 449.114，39.142 and 185.114， P<0.05 or <0.01），and the detection rates in central Anhui were higher than those in southern Anhui（ χ2=272.031，102.717，162.409，118.891 and 66.889，all P<0.001）. The detection rates of CRKP，CRPA and thirdgeneration cephalosporinresistant Klebsiella pneumoniae（3GC-R-KP）in central Anhui were the highest（16.7%，21.7% and 32.0%，respectively），which were higher than those in northern and southern Anhui（ χ2=229.656 and 439.377，156.599 and 65.818，77.386 and 232.568，all P<0.001）. The detection rates of CREC，3GC-R-EC and QREC were the highest in the elderly（2.2%，54.0% and 56.4%，respectively），which were higher than those in children and adults（ χ2=8.034 and 13.150，17.032 and 103.437，438.353 and 183.099，all P<0.01）. The detection rates of CRKP and 3GC-R-KP in neonates were the highest（20.6% and 56.9%，respectively），which were significantly higher than those in children，adults and the elderly（ χ2=38.869，8.337 and 7.921；65.517，55.525 and 49.214，all P<0.01），and the detection rate of 3GC-R-KP in the elderly was higher than that in children and adults（ χ2=14.122 and 7.501，both P<0.01）. The detection rates of CRAB complex，CRPA，CREC，CRKP and 3GC-R-KP in tertiary hospitals were higher than those in secondary hospitals（ χ2=25.606，16.501，5.820，33.116 and 117.086， P<0.05 or <0.01）. Except for MRSA，vancomycin-resistant Enterococcus faecium and QREC，the detection rates of major drug-resistant bacteria in intensive care unit（ICU）were the highest（all P<0.001）. From 2019 to 2024，the detection rates of MRSA，MRCNS，CRKP，CRAB complex and CRPA all showed a slow decreasing trend（ χ2=42.319，122.779，340.381，83.512 and 81.668，all P<0.001）. Conclusions:The situation of antimicrobial resistance in Anhui province shows a downward trend，but it is still serious，especially in northern and central Anhui. It is necessary to pay attention to the bacterial resistance particularly for the elderly，newborns，children and ICU.

Objective:To report the surveillance results of the distribution and antimicrobial resistance profile of clinical isolates in Anhui province.Methods:Surveillance data from 94 members of the Anhui Antimicrobial Resistance Surveillance Network（HuiNet）from October 2023 to September 2024 were collected，the major drug-resistant bacteria and the resistance to commonly used antibiotics were analyzed. WHONET 5.6 and SPSS 25.0 software were used for data analysis.Results:Among 240 339 clinical strains，Gram-negative bacteria accounted for 75.0%（180 153 strains）. The detected bacteria mainly include Escherichia coli（ n=53 587，22.3%）， Klebsiella pneumoniae（ n=39 774，16.5%）， Pseudomonas aeruginosa（ n=25 505，10.6%）， Staphylococus aureus（ n=19 438，8.1%）， Acinetobacter baumannii complex（ n=14 239，5.9%），and so on. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococcus aureus（MRCNS）were 37.7%（7 112/18 853）and 73.9%（13 221/17 895），respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of carbapenem-resistant Escherichia coli（CREC）and Klebsiella pneumoniae（CRKP）were 1.9%（971/51 991）and 12.3%（4 864/39 414），respectively. The resistance rate of CRKP to tigecycline and polycolistin B was 7.7% and 7.9%，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex and Pseudomonas aeruginosa（CRPA）were 57.9%（8 222/14 198）and 18.2%（4 569/25 052），respectively，with low resistance to polycolistin B（2.0% and 7.2%，respectively）. The detection rates of MRSA，MRCNS，CRAB complex，third-generation cephalosporin-resistant Escherichia coli（3GC-R-EC）and quinolone-resistant Escherichia coli（QREC）in northern Anhui were the highest（46.8%，77.1%，65.6%，57.6% and 55.5%，respectively），which were higher than those in central and southern Anhui（ χ2=107.858 and 566.202，5.950 and 142.223，39.254 and 289.137，135.402 and 449.114，39.142 and 185.114， P<0.05 or <0.01），and the detection rates in central Anhui were higher than those in southern Anhui（ χ2=272.031，102.717，162.409，118.891 and 66.889，all P<0.001）. The detection rates of CRKP，CRPA and thirdgeneration cephalosporinresistant Klebsiella pneumoniae（3GC-R-KP）in central Anhui were the highest（16.7%，21.7% and 32.0%，respectively），which were higher than those in northern and southern Anhui（ χ2=229.656 and 439.377，156.599 and 65.818，77.386 and 232.568，all P<0.001）. The detection rates of CREC，3GC-R-EC and QREC were the highest in the elderly（2.2%，54.0% and 56.4%，respectively），which were higher than those in children and adults（ χ2=8.034 and 13.150，17.032 and 103.437，438.353 and 183.099，all P<0.01）. The detection rates of CRKP and 3GC-R-KP in neonates were the highest（20.6% and 56.9%，respectively），which were significantly higher than those in children，adults and the elderly（ χ2=38.869，8.337 and 7.921；65.517，55.525 and 49.214，all P<0.01），and the detection rate of 3GC-R-KP in the elderly was higher than that in children and adults（ χ2=14.122 and 7.501，both P<0.01）. The detection rates of CRAB complex，CRPA，CREC，CRKP and 3GC-R-KP in tertiary hospitals were higher than those in secondary hospitals（ χ2=25.606，16.501，5.820，33.116 and 117.086， P<0.05 or <0.01）. Except for MRSA，vancomycin-resistant Enterococcus faecium and QREC，the detection rates of major drug-resistant bacteria in intensive care unit（ICU）were the highest（all P<0.001）. From 2019 to 2024，the detection rates of MRSA，MRCNS，CRKP，CRAB complex and CRPA all showed a slow decreasing trend（ χ2=42.319，122.779，340.381，83.512 and 81.668，all P<0.001）. Conclusions:The situation of antimicrobial resistance in Anhui province shows a downward trend，but it is still serious，especially in northern and central Anhui. It is necessary to pay attention to the bacterial resistance particularly for the elderly，newborns，children and ICU.

Objective: To explore the impact of five-flavor Sophora flavescens enteric-coated capsules (FSEC) on the intestinal flora of rats with ulcerative colitis (UC), so as to provide the reference for the mechanism of FSEC in treating UC. Methods: Forty SPF-grade Wistar rats were randomly divided into the control group, the model group, the mesalazine group and the FSEC group. Except the control group (0.9% sodium chloride solution), the other 3 groups used 3% dextran sulfate sodium (DSS) for 7 days to establish UC model. After successful modeling, the control group and the model group were given 2 mL/kgbw of 0.9% sodium chloride solution by gavage for 2 weeks, while the mesalazine group and the FSEC group were given 2 mL/kgbw of mesalazine suspension (0.2 g/kg) and FSEC granule suspension (2.16 g/kg), respectively. Pathological changes of colon tissue were observed after hematoxylin-eosin (HE) staining. Rat fecal samples were collected, and 16S rDNA high-throughput sequencing and bioinformatics analysis were performed on intestinal flora. The α and β diversity of intestinal flora among the four groups were compared, and the dominant flora was screened using LEfSe analysis. Results: Compared with the control group, the model group showed a significant loss of colonic crypts and a large infiltration of inflammatory cells. Compared with the model group, the mesalazine group and the FSEC group exhibited a slight loss of colonic crypts, a small amount or an absence inflammatory cell infiltration, and improved tissue damage. The α-diversity analysis showed that compared with the control group, the Chao1 and Shannon indices in the model group increased, while the Simpson index decreased; compared with the model group, the Chao1 and Shannon indices in the mesalazine group and the FSEC group decreased, and the Simpson index increased（all P<0.05）. The β-diversity analysis showed that the sample distance between the FSEC group and the control group were more closer than that between the model group and the control group. LEfSe analysis results showed that the dominant bacteria in the model group were mainly from the Alistipes and Oscillospira. In the FSEC group, the dominant bacteria were from the Ruminococcus and Prevotella. Conclusion FSEC can improve the structures of intestinal flora, increase the abundance of beneficial bacteria such as Ruminococcus and Prevotella, reduce the abundance of pathogenic bacteria such as Alistipes, and alleviate the inflammatory response in UC rats.

Exposure to occupational noise and heavy metals are common occupational hazards in workplaces. Occupational noise exposure not only leads to noise-induced hearing loss but also cognitive dysfunction. Exposure to common heavy metals such as lead, manganese, and cadmium during work is closely related to cognitive dysfunction in workers. Combined exposure to noise and heavy metals is common in workplaces. However, current research on the combined effects of exposure to occupational noise with lead or manganese on workers' cognitive function is not comprehensive or systematic. The method for cognitive dysfunction identification varies, leading to a lack of comparability. And the causality between occupational exposure and cognitive dysfunction in workers has not been clarified. Therefore, studying the cognitive dysfunction due to combined exposure to noise and common heavy metals is of great significance for workers' occupational health. In the future, it is necessary to unify the method for cognitive dysfunction identification and conduct systematic and comprehensive research on the effects, mechanisms, and combined effects of exposure to occupational noise with lead, manganese, cadmium, and other heavy metals on workers' cognitive dysfunction, to ensure the occupational health rights and interests of workers.

Objective:To elucidate the etiological and epidemiological characteristics and epidemiological patterns of viral acute respiratory infections (ARI) in Shanghai during 2023, with the aim of providing robust laboratory evidence for effective prevention and control strategies against related respiratory diseases and facilitating risk assessment.Methods:Respiratory pathogens were detected in the clinical surveillance specimens submitted by sentinel hospitals through multiplex PCR, as part of the multi-pathogen surveillance of acute respiratory infections in Shanghai during 2023. The obtained detection result were statistically analyzed in conjunction with sample information.Results:The positive detection rate of viral pathogens in 2023 was 21.17% (984/4 648), with rates of 33.53% (504/1 503) observed in ILI cases and 15.62% (480/3 145) in SARI cases. Influenza A virus (FluA) was the predominant virus detected, accounting for 13.7% (637/4 648). Other viruses identified in the surveillance samples included influenza B virus (Flu B), human rhinovirus/enterovirus (HRV/HEV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), parainfluenza virus (PIV), adenovirus (ADV) and human bocavirus (HBoV). Regarding temporal distribution, HRV/HEV and RSV exhibited the highest detection rates during the second quarter at 2.27% each (28/1 236). PIV had its peak during the third quarter at a rate of 2.49% (35/1 405), and HMPV showed prevalence mainly during the third and fourth quarters, with detection rates of 2.63% (37/1 405) and 2.35% (32/1 360), respectively.Conclusions:In acute respiratory infection surveillance cases in Shanghai in 2023, Flu A emerged as the predominant respiratory pathogen. The detection rate of HMPV ranked second only to Flu A, while other respiratory viruses such as HRV/HEV, RSV, and PIV were detected during different seasons and co-circulated. The prevalence of various respiratory viruses varied among different infected populations and over times.

ObjectiveTo investigate the expression of glial cell line-derived neurotrophic factor （GDNF） and androgen receptor （AR） in testicular peritubular cells （TPCs） of cryptorchidism mouse models and explore the theoretical significance of cryptorchidism-induced spermatogenesis dysfunction. MethodsA total of 30 five-week-old male ICR rats were divided randomly by using random number table method into 6 groups. Cryptorchidism was surgically induced in 3 randomly selected groups and the other 3 groups underwent sham surgery as the control groups. On days 4， 7 and 14 after surgery， we harvested the mice testes of the 3 groups and their corresponding control groups， then measured the testicular volumes， analyzed the testicular histopathology and detected the mRNA and protein expression levels of AR and GDNF in TPCs by immunofluorescence， real-time PCR and Western blot. ResultsIn normal control groups， on days 4， 7 and 14 after surgery， the testicular volumes were （125.58±19.22） mm³，（123.45±20.12） mm³， （140.09±13.62） mm³ ， respectively. Clear layers of spermatogenic cells were well arranged and abundant sperm cells were found. Peritubular cells were morphologically homogeneous， with slim-spindle appearance and normal cell thickness. The mRNA expression levels of AR were 1.00±0.05， 1.06±0.07 and 1.19±0.13； GDNF mRNA 1.00±0.04， 1.09±0.05， and 1.10±0.07. The protein expression levels of AR were 1.01±0.01， 0.79±0.02 and 1.01±0.04； GDNF protein （18.68±0.43） pg/mL， （14.39±0.36） pg/mL and （16.88±0.37） pg/mL. In cryptorchidism groups， on days 4， 7 and 14 after surgery， the testicular volumes were （115.64±3.91） mm³， （69.51±14.97） mm³ and （44.86±5.56） mm³， respectively. Spermatogenic cells were disorganized， seminiferous tubules were disrupted， peritubular cells shrank， bent and fractured. The mRNA expression levels of AR were 0.76±0.06， 0.53±0.04， and 0.29±0.02； GDNF mRNA 0.72±0.05， 0.42±0.02 and 0.30±0.03. The protein expression levels of AR were 0.54±0.02， 0.98±0.04 and 0.31±0.01； GDNF protein （8.50±0.34） pg/mL， （17.44±0.32） pg/mL and （6.83±0.34） pg/mL. Statistically significant differences （P < 0.05） were found in 7-day and 14-day testicular volumes between control and cryptorchidism groups but not in the 4-day testicular volume （P > 0.05）. Testicular volumes， AR and GDNF mRNA and protein expression in control groups had no statistically significant difference （P > 0.05）， while those in cryptorchidism groups showed a trend of gradual decline in the amount and the differences between groups were statistically significant （P < 0.05）. ConclusionsIn surgery-induced cryptorchidism mice， after the induction， the expression of AR and GDNF in TPCs showed a gradual decrease over time. AR and GDNF play a major role in mediating the TPCs damage in cryptorchidism. This study provides a theoretical basis for mechanism researches of cryptorchidism-induced spermatogenesis dysfunction.

Diabetic nephropathy(DN),a severe complication of diabetes,is widely recognized as a primary contributor to end-stage renal disease.Recent studies indicate that the inflammation triggered by Toll-like receptor 4(TLR4)is of paramount importance in the onset and progression of DN.TLR4 can bind to various ligands,including exogenous ligands such as proteins and polysaccharides from bacteria or vi-ruses,as well as endogenous ligands such as biglycan,fibrinogen,and hyaluronan.In DN,the expression or release of TLR4-related ligands is significantly elevated,resulting in excessive TLR4 activation and increased production of proinflammatory cytokines through downstream signaling pathways.This process is closely associated with the progression of DN.Natural compounds are biologically active products derived from natural sources that have advantages in the treatment of certain diseases.Various types of natural compounds,including alkaloids,flavonoids,polyphenols,terpenoids,glycosides,and polysaccharides,have demonstrated their ability to improve DN by affecting the TLR4 signaling pathway.In this review,we summarize the mechanism of action of TLR4 in DN and the natural compounds that can ameliorate DN by modulating the TLR4 signaling pathway.We specifically highlight the potential of compounds such as curcumin,paclitaxel,berberine,and ursolic acid to inhibit the TLR4 signaling pathway,which provides an important direction of research for the treatment of DN.

Circular RNA (circRNA) is widely expressed in eukaryotes. Abnormal expression of specific circRNA was found in both animal models with cognitive decline and patients with cognitive dysfunction.However, the role of circRNA in cognitive dysfunction related diseases is still unclear. By introducing the expression of circRNA in cognitive function related brain regions and its impact on brain structure and function, as well as the relevant research progress on the pathological mechanism of circRNA involvement in cognitive dysfunction related diseases, this review provides theoretical basis for revealing the pathological mechanism of circRNA in cognitive dysfunction related diseases and discovering specific circRNA targets for preventing and treating cognitive dysfunction.

Objective:To analyse the distribution and antimicrobial resistance profile of clinical bacterial isolates in Anhui province.Methods:Surveillance data was collected from 83 members of the Anhui Antimicrobial Resistance Surveillance Network（HuiNet）during October 2022 to September 2023，to analyze the resistance of major bacteria to commonly used antibiotics and the detection of clinically common drug-resistant bacteria. The data was analyzed using WHONET 5.6 and SPSS 25.0 software.Results:A total of 201 647 clinical bacteria isolates were collected，with Gram-negative bacteria accounting for 74.8%（150 847/201 647）. The most prevalent Gram-positive bacterial strains were Staphylococus aureus（32.8%，16 648/50 800），followed by Staphylococcus epidermidis（14.0%，7 098/50 800）， Enterococcus faecalis（10.7%，5 458/50 800）， Enterococcus faecium（9.1%，4 613/50 800）and Staphylococcus hominis（7.4%，3 778/50 800）；the most prevalent Gram-negative bacterial strains were Escherichia coli（28.9%，43 577/150 847），followed by Klebsiella pneumoniae（22.5%，34 006/150 847）， Pseudomonas aeruginosa（14.7%，22 171/150 847）， Acinetobacter baumannii complex（9.4%，14 194/150 847）and Enterobacter cloacae（3.5%，5 235/150 847）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococcus aureus（MRCNS）were 39.5%（6 442/16 325）and 75.7%（12 343/16 312），respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of vancomycin-resistant Enterococcus faecium and Enterococcus faecalis were 0.5% and 0.6%，respectively. The prevalence of carbapenem-resistant Escherichia coli and Klebsiella pneumoniae（CR-KPN）were 1.9%（805/42 956）and 11.7%（3 950/33 761），respectively. The resistance rate of CR-KPN to tigecycline was 3.9%. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CR-PAE）and Acinetobacter baumannii（CR-ABA）complex were 18.4%（3 936/21 447）and 62.9%（8 649/13 744），respectively，with low resistance rate to polycolistin B（6.9% and 1.7%，respectively）. The detection rates of MRSA，CR-ABA complex，third-generation cephalosporin-resistant Escherichia coli（CTX/CRO-R-ECO）and quinolone-resistant Escherichia coli（QNR-ECO）in northern Anhui were the highest（50.3%，72.9%，59.2% and 55.6%，respectively），which were higher than those in central and southern Anhui（ χ2=112.734 and 575.069，132.747 and 233.885，93.986 and 471.209，60.062 and 230.669，all P<0.001），and the detection rate in central Anhui was higher than that in southern Anhui（ χ2=278.671，29.219，207.395 and 80.267，all P<0.001）. The detection rates of CR-KPN and thirdgeneration cephalosporinresistant Klebsiella pneumoniae（CTX/CRO-R-KPN）in central Anhui were the highest（15.5% and 33.3%，respectively），which were higher than those in northern and southern Anhui（ χ2=156.237 and 325.533，76.928 and 180.686，all P<0.001），and the detection rate in northern Anhui was higher than that in southern Anhui（ χ2=32.202 and 25.539， P<0.001）. The detection rates of CTX/CRO-R-ECO and QNR-ECO were the highest in the elderly（55.2% and 55.8%，respectively），which were higher than those in children，and young and middle aged adults（ χ2=23.906 and 120.575，376.404 and 196.612， P<0.001）. The detection rate of CTX/CRO-R-KPN in neonates was the highest（57.1%），which was significantly higher than that in children，adults and the elderly（ χ2=46.141，38.843 and 32.093， P<0.001），and the detection rate in the elderly was higher than that in children and adults（ χ2=13.604 and 13.471， P<0.001）. The detection rates of MRSA and MRCNS were the highest in children（42.8% and 77.8%，respectively），which were higher than those in adults（ χ2=21.766 and 10.704， P<0.001）. Except MRSA and vancomycin-resistant Enterococcus faecium and faecalis，the detection rates of major drug-resistant bacteria in tertiary hospitals were higher than those in secondary hospitals（ P<0.05 or <0.01）. Conclusion:In 2023，the situation of antimicrobial resistance in Anhui province was serious，especially in northern and central Anhui，and targeted drug resistance control measures should be taken according to the monitoring results. At the same time，it is necessary to pay attention to the bacterial resistance in the elderly，newborns and children，and strengthen the rational use of antibiotics by clinicians to curb the spread of drug-resistant bacteria.