Soybean meal (SBM) prepared by soybean crushing is the most popular protein source in the poultry and livestock industries (Cai et al., 2015) due to its economic manufacture, high protein content, and good nutritional value. Despite these benefits, SBM contains various antigen proteins such as glycinin and β-conglycinin, which account for approximately 70% of the total proteins of the SBM and reduce digestibility and damage intestinal function (Peng et al., 2018). Treating SBM with proteases (neutrase, alcalase, and trypsin) or fermentation can eliminate these antigen proteins (Contesini et al., 2018). Because of its safety and rapid growth cycle, Bacillus strains are considered ideal for the fermentation industry (Yao et al., 2021). SBM fermented by Bacillus yields products with high nutritional value and low levels of antinutritional factors (ANFs), stimulating research in this area (Yuan et al., 2017). Kumari et al. (2023) demonstrated that fermentation with Bacillus species effectively degrades antigen proteins and increases crude protein content. The degradation of antigen proteins relies on protease hydrolysis. Low protease production is the major obstacle hindering the widespread use of microbial fermentation techniques.
Bacillus amyloliquefaciens/metabolism* ; Fermentation ; Glycine max/metabolism* ; Soybean Proteins/metabolism* ; Peptide Hydrolases/metabolism* ; Ribosomes/metabolism* ; Globulins ; Antigens, Plant ; Seed Storage Proteins

BACKGROUND:In the repair of large bone defects,a variety of factors such as seed cell passaging can cause senescence of osteoblasts,leading to a reduction in osteogenic differentiation activity after implantation of tissue-engineered bone.In recent years,a novel mechanism involving primary cilia in cell senescence has been widely studied,but the primary cilia-related mechanism of"passage senescence-reduced osteogenic activity"is not fully understood.OBJECTIVE:To explore the possible mechanisms by which primary cilia regulate the senescence of MC3T3-E1 cells.METHODS:The osteoblast precursor cell lines MC3T3-E1 were passaged to 10th generation cells(early passage)and 40th generation cells(late passage).siRNA was used to silence IFT88 to inhibit primary cilia formation.The cells were than grouped into passage 10 group,passage 40 group,passage 10+siRNA IFT88 group,and passage 40+siRNA IFT88 group.RT-PCR and western blot assays were used to detect the expression of the aging marker P16(CDKN2A),the osteogenic activity markers bone morphogenetic protein 2 and alkaline phosphatase,and the Hedgehog pathway IHH expression.Alizarin red staining and primary cilia immunofluorescence staining were performed.Spearman correlation analysis was conducted to analyze primary cilia positive rate and IHH and bone morphogenetic protein 2 expression.RESULTS AND CONCLUSION:(1)The expression of CDKN2A(P16)in the passage 10 group was significantly higher than in the passage 40 group,but the difference disappeared after siRNA IFT88 intervention.(2)Meanwhile,the positive rate of primary cilia cells in the passage 10 group were higher than in the passage 40 group,while siRNA IFT88-significantly inhibited the expression of primary cilia in both passage 10 and passage 40 cells.(3)The transcriptional activity and protein expression of bone morphogenetic protein 2 and alkaline phosphatase in the passage 10 group were higher than those in the passage 40 group.After inhibiting the expression of primary cilia with siRNA,the above differences were reduced or disappeared.(4)The positive rate of primary cilia cells was correlated with IHH and bone morphogenetic protein 2 protein expression.To conclude,primary cilia mediate the replicative senescence of osteogenic MC3T3-E1 cells and regulate osteogenic differentiation ability.

Soil cadmium (Cd) pollution is one of the major environmental problems globally. Ophiopogon japonicus, a multifunctional plant extensively used in traditional Chinese medicine, has demonstrated potential in environmental remediation. This study investigated the Cd accumulation pattern of O. japonicus under cadmium stress and identified the heavy metal ATPase (HMA) family members in this plant. Our results demonstrated that O. japonicus exhibited a Cd enrichment factor (EF) of 2.75, demonstrating strong potential for soil Cd pollution remediation. Nine heavy metal ATPase (HMA) members of P1B-ATPases were successfully identified from the transcriptome data of O. japonicus, with OjHMA1-OjHMA6 classified as the Zn/Co/Cd/Pb-ATPases and OjHMA7-OjHMA9 as the Cu/Ag-ATPases. The expression levels of OjHMA1, OjHMA2, OjHMA3, and OjHMA7 were significantly up-regulated under Cd stress, highlighting their crucial roles in cadmium ion absorption and transport. The topological analysis revealed that these proteins possessed characteristic transmembrane (TM) segments of the family, along with functional A, P, and N domains involved in regulating ion absorption and release. Metal ion-binding sites (M4, M5, and M6) existed on the TM segments. Based on the number of transmembrane domains and the residues at metal ion-binding sites, the plant HMA family members were categorized into three subgroups: P1B-1 ATPases, P1B-2 ATPases, and P1B-4 ATPases. Specifically, the P1B-1 ATPase subgroup included the motifs TM4(CPC), TM5(YN[X]₄P), and TM6(M[XX]SS); the P1B-2 ATPase subgroup featured the motifs TM4(CPC), TM5(K), and TM6(DKTGT); the P1B-4 ATPase subgroup contained the motifs TM4(SPC) and TM6(HE[X]GT), all of which were critical for protein functions. Molecular docking results revealed the importance of conserved sequences such as CPC/SPC, DKTGT, and HE[X]GT in metal ion coordination and stabilization. These findings provide potential molecular targets for enhancing Cd uptake and tolerance of O. japonicus by genetic engineering and lay a theoretical foundation for developing new cultivars with high Cd accumulation capacity.
Cadmium/metabolism* ; Adenosine Triphosphatases/metabolism* ; Ophiopogon/drug effects* ; Soil Pollutants/toxicity* ; Plant Proteins/metabolism* ; Stress, Physiological ; Multigene Family ; Gene Expression Regulation, Plant

Large language models (LLMs), represented by ChatGPT, have garnered significant attention due to their powerful capabilities in understanding and generating human language. Research on the application of LLMs across various medical tasks has shown a vigorous development trend. This review aims to outline the development and clinical applications of LLMs, with a focus on the primary tasks of medical intelligent assistants, including their associated opportunities and challenges. At the technical level, we provide a detailed explanation of the architecture and training processes of existing medical LLMs, and summarize the general technical steps for adapting large models to the healthcare domain. At the application level, we introduce the main tasks of medical intelligent assistants from both healthcare provider- and patient-oriented perspectives, andcompare the performance of different LLMs across various medical tasks to illustrate their unique advantages and limitations in medical applications.

Objective To evaluate the drug-loading performance,biocompatibility,bone tissue compati-bility,and therapeutic efficacy of vancomycin(VA)-loaded hydroxyapatite(HA)/β-tricalcium phosphate(β-TCP)scaffolds in treating infectious bone defects in mice.Methods HA/β-TCP scaffolds were fabricated by using 3D printing technology,and VA was loaded onto the scaffolds via freeze-drying to create the composite VA/HA/β-TCP scaffolds.The scaffolds were observed by using scanning electron microscopy(SEM),and their encapsulation efficiency,drug-loading capacity,and release kinetics were assessed.An in vitro co-culture system was established with mouse embryonic osteoblasts(MC3T3-E1)and the scaffolds,The cells were di-vided into the control group(HA/β-TCP scaffolds)and the VA/HA/β-TCP group.Cell viability was assessed by using the methyl thiazolyl tetrazolium(MTT)assay,and osteocalcin(OCN)expression levels were meas-ured by ELISA at 7,12,and 14 days of co-culture.Antibacterial activity was evaluated through adhesion ex-periments.A mouse cranial defect model was constructed and implanted with the scaffolds for 4 weeks.Hema-toxylin and eosin(HE)staining was performed to observe material degradation and bone formation in the sur-rounding tissues.Results The VA/HA/β TCP scaffolds exhibited uniform pore size distribution and excel-lent drug-loading performance,with an encapsulation efficiency of 70.32％and an actual drug-loading rate of 30.53％,effectively loading VA.The scaffolds sustained VA release over 36 hours.Compared to the control group,MC3T3-E1 cell viability on the VA/HA/β-TCP scaffolds was significantly inhibited at 7 and 12 days of co-culture(P＜0.01),but no significant difference in proliferation activity was observed between the two groups after 14 days(P＞0.05).No significant differences in OCN expression levels were found in MC3T3-E1 cells on the VA/HA/β-TCP scaffolds compared to the control group at any time point(P＞0.05).The VA/HA/β-TCP scaffolds demonstrated strong antibacterial properties,with significantly reduced numbers of Escherichia coli in the co-cultured bacterial solution and on the scaffold surface compared to the control group(P＜0.001).Compared with the control group,the VA/HA/β-TCP group demonstrated significantly reduced cranial hemorrhage and inflammatory infiltration,alongside a marked increase in new bone tissue.Conclusion The VA/HA/β-TCP scaffolds exhibit excellent drug-loading performance,controlled drug re-lease,biocompatibility,antibacterial activity,and bone tissue compatibility,offering a novel approach for trea-ting bone infections.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

BACKGROUND:In the repair of large bone defects,a variety of factors such as seed cell passaging can cause senescence of osteoblasts,leading to a reduction in osteogenic differentiation activity after implantation of tissue-engineered bone.In recent years,a novel mechanism involving primary cilia in cell senescence has been widely studied,but the primary cilia-related mechanism of"passage senescence-reduced osteogenic activity"is not fully understood.OBJECTIVE:To explore the possible mechanisms by which primary cilia regulate the senescence of MC3T3-E1 cells.METHODS:The osteoblast precursor cell lines MC3T3-E1 were passaged to 10th generation cells(early passage)and 40th generation cells(late passage).siRNA was used to silence IFT88 to inhibit primary cilia formation.The cells were than grouped into passage 10 group,passage 40 group,passage 10+siRNA IFT88 group,and passage 40+siRNA IFT88 group.RT-PCR and western blot assays were used to detect the expression of the aging marker P16(CDKN2A),the osteogenic activity markers bone morphogenetic protein 2 and alkaline phosphatase,and the Hedgehog pathway IHH expression.Alizarin red staining and primary cilia immunofluorescence staining were performed.Spearman correlation analysis was conducted to analyze primary cilia positive rate and IHH and bone morphogenetic protein 2 expression.RESULTS AND CONCLUSION:(1)The expression of CDKN2A(P16)in the passage 10 group was significantly higher than in the passage 40 group,but the difference disappeared after siRNA IFT88 intervention.(2)Meanwhile,the positive rate of primary cilia cells in the passage 10 group were higher than in the passage 40 group,while siRNA IFT88-significantly inhibited the expression of primary cilia in both passage 10 and passage 40 cells.(3)The transcriptional activity and protein expression of bone morphogenetic protein 2 and alkaline phosphatase in the passage 10 group were higher than those in the passage 40 group.After inhibiting the expression of primary cilia with siRNA,the above differences were reduced or disappeared.(4)The positive rate of primary cilia cells was correlated with IHH and bone morphogenetic protein 2 protein expression.To conclude,primary cilia mediate the replicative senescence of osteogenic MC3T3-E1 cells and regulate osteogenic differentiation ability.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.