ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

A molecularly imprinted electrochemical sensor for rapid detection of tenuazonic acid(TeA)was developed based on the Au-MoS2/MOF(Fe2+/Fe3+)high-efficiency catalytic cycle amplification strategy,using p-aminobenzoic acid(PABA)as the functional monomer,and TeA as the template molecule.The molecularly imprinted polymer(MIP)was prepared on the surface of Au-MoS2/MOF(Fe2+/Fe3+)modified electrode through electropolymerization.By introducing flower-like MoS2 nanoflakes(MoS2 NFs)as a co-catalyst into a mixed-valence structured Fe-MOF(Fe2+/Fe3+),the H2O2 electrochemical signal of the MIP/Au-MoS2/MOF(Fe2+/Fe3+)/GCE was significantly enhanced.Under optimal conditions,the sensor exhibited good selectivity and high sensitivity toward TeA.A linear relationship(R2=0.992)was observed between the electrochemical response and TeA concentration in the range of 0.001-10 μg/kg,with a detection limit of 0.3 ng/kg.The developed method was successfully applied to determination of TeA in fruit samples,with recoveries ranging from 90.8%to 110.8%,and relative standard deviations from 1.9%to 8.4%.

Objective:To evaluate the clinical efficacy and prognosis of mechanical lithotripsy, laser lithotripsy under direct peroral cholangioscopy, and their combination in the treatment of difficult common bile duct (CBD) stones.Methods:Clinical data of 345 patients with difficult CBD stones treated at the Department of Hepatobiliary Surgery, Shandong Provincial Third Hospital, Shandong University, between January 2020 and December 2024 were retrospectively analyzed, including 176 males and 169 females, aged (71.2±14.2) years. Patients were categorized into three groups based on the lithotripsy technique used: mechanical lithotripsy group ( n=275), laser lithotripsy group under direct peroral cholangioscopy ( n=34), and combined lithotripsy group ( n=35). Operative time, hospitalization costs, stone clearance rate, and postoperative complications were recorded. Follow-ups were conducted through outpatient visits and telephone reviews to monitor stone recurrence. Propensity score matching (PSM) at a 1: 3 nearest-neighbor ratio with a caliper of 0.02 was performed, using lithotripsy method as the dependent variable, and age, sex, stone size, and bile duct diameter as independent variables, resulting in well-balanced mechanical and laser lithotripsy groups. Kaplan-Meier survival analysis was used to assess recurrence-free survival, with comparisons performed using the log-rank test. Results:Before PSM, there were significant differences in age, sex, stone length, and bile duct diameter between the groups (all P<0.05). After PSM, 40 patients were included in the mechanical lithotripsy group, 34 in the laser group, and 35 in the combined group, with no significant differences in baseline or preoperative clinical characteristics (all P>0.05). The combined group had a significantly longer operative time compared to the mechanical group [71.0 (66.0, 92.0) min vs. 50.5 (40.4, 56.5) min, Z=-5.02, P<0.001] and the laser group [71.0 (66.0, 92.0) min vs. 53.0 (26.5, 73.5) min, Z=-2.61, P=0.001]. The laser group also had a longer operative time than the mechanical group [53.0 (26.5, 73.5) min vs. 50.5 (40.4, 56.5) min, Z=-2.27, P=0.023]. Hospitalization costs were significantly higher in the combined group compared to the mechanical group [43 000(33 000, 50 000) yuan vs. 30 000(26 000, 37 000) yuan; Z=-3.43, P<0.001]. The single-session stone clearance rates were 80.0% (32/40) for the mechanical group, 85.3% (29/34) for the laser group, and 62.9% (22/35) for the combined group. Postoperative complication rates were 20.0% (8/40), 11.7% (4/34), and 11.4% (4/35), respectively, with no statistically significant differences among the three groups (all P>0.05). There were also no significant differences in cumulative recurrence-free survival among the groups ( χ2=0.06, P=0.970). Conclusions:For endoscopic management of difficult CBD stones, combined lithotripsy is associated with longer operative time and higher hospitalization costs compared to mechanical and laser lithotripsy alone. Laser lithotripsy also requires more operative time than mechanical lithotripsy. However, the three lithotripsy strategies show no significant differences in postoperative complications or cumulative recurrence-free survival.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To evaluate the clinical efficacy and prognosis of mechanical lithotripsy, laser lithotripsy under direct peroral cholangioscopy, and their combination in the treatment of difficult common bile duct (CBD) stones.Methods:Clinical data of 345 patients with difficult CBD stones treated at the Department of Hepatobiliary Surgery, Shandong Provincial Third Hospital, Shandong University, between January 2020 and December 2024 were retrospectively analyzed, including 176 males and 169 females, aged (71.2±14.2) years. Patients were categorized into three groups based on the lithotripsy technique used: mechanical lithotripsy group ( n=275), laser lithotripsy group under direct peroral cholangioscopy ( n=34), and combined lithotripsy group ( n=35). Operative time, hospitalization costs, stone clearance rate, and postoperative complications were recorded. Follow-ups were conducted through outpatient visits and telephone reviews to monitor stone recurrence. Propensity score matching (PSM) at a 1: 3 nearest-neighbor ratio with a caliper of 0.02 was performed, using lithotripsy method as the dependent variable, and age, sex, stone size, and bile duct diameter as independent variables, resulting in well-balanced mechanical and laser lithotripsy groups. Kaplan-Meier survival analysis was used to assess recurrence-free survival, with comparisons performed using the log-rank test. Results:Before PSM, there were significant differences in age, sex, stone length, and bile duct diameter between the groups (all P<0.05). After PSM, 40 patients were included in the mechanical lithotripsy group, 34 in the laser group, and 35 in the combined group, with no significant differences in baseline or preoperative clinical characteristics (all P>0.05). The combined group had a significantly longer operative time compared to the mechanical group [71.0 (66.0, 92.0) min vs. 50.5 (40.4, 56.5) min, Z=-5.02, P<0.001] and the laser group [71.0 (66.0, 92.0) min vs. 53.0 (26.5, 73.5) min, Z=-2.61, P=0.001]. The laser group also had a longer operative time than the mechanical group [53.0 (26.5, 73.5) min vs. 50.5 (40.4, 56.5) min, Z=-2.27, P=0.023]. Hospitalization costs were significantly higher in the combined group compared to the mechanical group [43 000(33 000, 50 000) yuan vs. 30 000(26 000, 37 000) yuan; Z=-3.43, P<0.001]. The single-session stone clearance rates were 80.0% (32/40) for the mechanical group, 85.3% (29/34) for the laser group, and 62.9% (22/35) for the combined group. Postoperative complication rates were 20.0% (8/40), 11.7% (4/34), and 11.4% (4/35), respectively, with no statistically significant differences among the three groups (all P>0.05). There were also no significant differences in cumulative recurrence-free survival among the groups ( χ2=0.06, P=0.970). Conclusions:For endoscopic management of difficult CBD stones, combined lithotripsy is associated with longer operative time and higher hospitalization costs compared to mechanical and laser lithotripsy alone. Laser lithotripsy also requires more operative time than mechanical lithotripsy. However, the three lithotripsy strategies show no significant differences in postoperative complications or cumulative recurrence-free survival.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.