Objective This study aimed to provide an effective scientific basis for prevention and control of cockroaches on aircrafts by identifying cockroach-carried pathogens,and assess the insecticidal efficacy of gel bait mediated cockroach control on aircrafts,to provide technical guidance for aircraft disinsection.Methods Cassette-trapping was used to trap cockroaches,and the carried pathogens were detected using bacterial cultivation techniques.The gel bait mediated killing rate was calculated after 1,7,and 30 d by field application of gel bait.Results A total of 411 cockroaches were captured,and all were identified as Blattella germanica.26 strains of pathogenic bacteria were isolated from the trapped cockroaches.The killing rates of cockroaches were 58.8％-96.3％with 1-30 day application of gel bait.Statistically significant differences were observed in cockroach killing rates on different days(χ2=58.95,P<0.01).Conclusions B.germanica carry a large variety of pathogenic bacteria and opportunistic pathogens and are thus important infectious disease carriers.Gel bait agents have proven to be very effective against cockroaches on aircrafts.

The identification and optimization of mutations in nanobodies are crucial for enhancing their thera-peutic potential in disease prevention and control.However,this process is often complex and time-consuming,which limit its widespread application in practice.In this study,we developed a work-flow,named Evolutionary-Nanobody(EvoNB),to predict key mutation sites of nanobodies by combining protein language models(PLMs)and molecular dynamic(MD)simulations.By fine-tuning the ESM2 model on a large-scale nanobody dataset,the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced.The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies.Additionally,we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations.MD simulations analyzed the energy changes caused by these mu-tations to predict their impact on binding affinity to the targets.The results showed that multiple mu-tations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target,further validating the potential of this workflow for designing and optimizing nanobody mutations.Additionally,sequence-based predictions are generally less dependent on structural absence,allowing them to be more easily integrated with tools for structural predictions,such as AlphaFold 3.Through mutation prediction and systematic analysis of key sites,we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes.The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

The oral glucose growth hormone suppression test is commonly used in the clinical diagnosis of acromegaly, but its results can be influenced by a variety of factors. This case report discusses a patient with a pituitary tumor and concurrent liver cirrhosis, highlighting the complexities in interpreting test results under such conditions. The patient, a 54-year-old male, presented with blurred vision as his primary complaint. Notably, the physical examination revealed no changes in facial features, no enlargement of hands or feet, and no other symptoms typically associated with acromegaly, which might otherwise suggest excessive growth hormone activity. Magnetic Resonance Imaging (MRI) of the pituitary gland indicated that the gland was within normal size parameters, but a small low-intensity lesion mea-suring approximately 3 mm×2 mm identified. This finding was consistent with a pituitary microadenoma. The patient's fasting growth hormone levels were significantly elevated at 8.470 μg/L, compared with the normal range of less than 2.47 μg/L. Conversely, fasting insulin-like growth factor-1 (IGF-1) levels were notably low, recorded at 41 and 52 μg/L, whereas the normal range for a person of his age was between 87 and 234 μg/L. Other pituitary hormones, including those regulating the thyroid, adrenal cortex, and sex hormones, were found to be within normal ranges. Despite this, during the glucose growth hormone suppression test, an abnormal elevation of growth hormone was observed. To investigate further, the patient was administered branched-chain amino acids, and the suppression test was repeated. However, the abnormal elevation of growth hormone persisted, indicating a failure to normalize the response. Given the patient's lack of clinical signs typically associated with elevated growth hormone secretion, the history of liver cirrhosis became a significant consideration. The disparity between elevated growth hormone levels and reduced IGF-1 levels suggested that the pituitary lesion was a non-functional adenoma rather than a source of excess hormone production. Consequently, it was concluded that the abnormal response of growth hormone to the glucose suppression test was likely related to the patient's liver cirrhosis. In addition to chronic liver disease, various other conditions could influence the results of the oral glucose tolerance growth hormone suppression test. According to the literature, factors such as puberty, diabetes, anorexia nervosa, and protein malnutrition could also affect test outcomes. These conditions could cause similar abnormalities in growth hormone dynamics, complicating the diagnosis. Therefore, clinicians must be vigilant and consider these potential influences when interpreting test results.For an accurate diagnosis of acromegaly, it is essential to combine clinical symptoms, detailed medical history, and imaging studies. The presence of conditions like liver cirrhosis should prompt careful interpretation of the test results, ensuring that other contributing factors are not overlooked. This comprehensive approach is crucial to avoid misdiagnosis and to ensure that appropriate treatment strategies are implemented based on a thorough understanding of the patient's overall health status.
Humans ; Male ; Middle Aged ; Pituitary Neoplasms/blood* ; Liver Cirrhosis/blood* ; Adenoma/blood* ; Human Growth Hormone/blood* ; Insulin-Like Growth Factor I/metabolism* ; Acromegaly/etiology* ; Magnetic Resonance Imaging

Kidney-Yang deficiency syndrome is a common geriatric disease that underlies chronic conditions such as diabetic nephropathy, chronic kidney disease, and osteoporosis. As age progresses, the kidney-Yang deficiency syndrome showcases increasingly pronounced manifestations, emerging as a key factor in the comorbidities experienced by elderly patients and affecting their quality of life and overall health status. Traditional Chinese medicine(TCM) has been extensively utilized in the treatment of kidney-Yang deficiency syndrome, with Epimedii Folium, Cinnamomi Cortex, and Lycii Fructus widely used in clinical settings. Despite the complexity of the molecular mechanisms involved in treating kidney-Yang deficiency syndrome, the potential therapeutic value of TCM remains compelling. Delving into the mechanisms of TCM treatment of kidney-Yang deficiency syndrome by regulating the neuro-endocrine-immune system can provide a scientific basis for targeted treatments of this syndrome and lay a foundation for the modernization of TCM. The pathophysiology of kidney-Yang deficiency syndrome involves multiple systems, including the interaction of the neuro-endocrine-immune system, the decline in renal function, the intensification of oxidative stress responses, and energy metabolism disorders. Understanding these mechanisms and their interrelationships can help untangle the etiology of kidney-Yang deficiency syndrome, aiding clinicians in making more precise diagnoses and treatments. Furthermore, the research on the specific applications of TCM in research on these pathological mechanisms can enhance the international recognition and status of TCM, enabling it to exert a greater global influence.
Humans ; Yang Deficiency/physiopathology* ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Kidney Diseases/physiopathology* ; Neurosecretory Systems/physiopathology* ; Animals ; Kidney/physiopathology* ; Endocrine System/physiopathology* ; Immune System/physiopathology*

Aim To explore the mechanism of Bushen Tongfu prescription(BSTF)regulating gut microbiota and improving learning and memory ability of Alzhei-mer's disease(AD)model mice.Methods APP/PS1 mice were administered by BSTF for eight weeks.The spatial learning and memory ability of mice were detected by Morris water maze.The changes in the gut microbiota abundance and diversity of mice were detec-ted by 16S rDNA technology.The morphological chan-ges of hippocampus were observed by HE staining.The expression of the activation of microglia in hippocampus was detected by immunofluorescence.The expressions of pro-inflammatory factors of TLR4,NF-κB and IL-6 in brain tissue were detected by Western blot.Results Compared with the model group,the escape latency and swimming path were shortened,the times of target crossings after removing the platform increased in BSTF groups(P＜0.05),the α-diversity increased and the abundance of gut microbiota was regulated,the mor-phological structure and pathological damage of hipp-ocampal cells were improved,the co-expression of iN-OS/Iba1 decreased and the co-expression of Arg1/Iba1 increased significantly(P＜0.01),the transformation of M1 to M2 of microglial cells was promoted,and the expression of TLR4,NF-κB and IL-6 protein decreased significantly.Conclusions BSTF can improve the learning and memory ability of APP/PS1 mice,and its mechanism may be related to regulating the gut micro-biota and the LPS/TLR4/NF-κB pathway,inhibiting the activation of pro-inflammatory microglia,reducing inflammation in hippocampus and improving the patho-logical damage of hippocampal cells.

An analysis of 24 144 norovirus sequences from Asia and Russia deposited in GenBank between 1995 and 2023 was conducted,to understand the temporal and spatial variations in norovirus genotypes in these regions.Norovirus sequences from Asia and Russia were downloaded in FASTA format from GenBank for the years 1995-2023,and analyzed in Excel,R language,and GraphPad Prism for data visualization.The number of norovirus sequences submitted to GenBank increased annually from 2004 and peaked in 2015.Notably,China and Japan contributed 62.3％of all submitted norovirus sequences.These sequences encompassed 31 capsid genotypes(C-type),with GⅠ accounting for 9％and GⅡ accounting for 90％.Additionally,49 polymerase types(P-type)were identified,along with 68 combinations of CP types;among the analyzed recombinant sequences(4 460 entries in total),approxi-mately 41％belonged to three predominant recombinant strains:GⅡ.2[P16],GⅡ.4[P31],and GⅡ.4[P16].This analysis provides valuable insights into the distribution characteristics of norovirus genotypes across Asia and Russia over time,thereby supporting vac-cine design and evaluation efforts.

An analysis of 24 144 norovirus sequences from Asia and Russia deposited in GenBank between 1995 and 2023 was conducted,to understand the temporal and spatial variations in norovirus genotypes in these regions.Norovirus sequences from Asia and Russia were downloaded in FASTA format from GenBank for the years 1995-2023,and analyzed in Excel,R language,and GraphPad Prism for data visualization.The number of norovirus sequences submitted to GenBank increased annually from 2004 and peaked in 2015.Notably,China and Japan contributed 62.3％of all submitted norovirus sequences.These sequences encompassed 31 capsid genotypes(C-type),with GⅠ accounting for 9％and GⅡ accounting for 90％.Additionally,49 polymerase types(P-type)were identified,along with 68 combinations of CP types;among the analyzed recombinant sequences(4 460 entries in total),approxi-mately 41％belonged to three predominant recombinant strains:GⅡ.2[P16],GⅡ.4[P31],and GⅡ.4[P16].This analysis provides valuable insights into the distribution characteristics of norovirus genotypes across Asia and Russia over time,thereby supporting vac-cine design and evaluation efforts.

Aim To explore the mechanism of Bushen Tongfu prescription(BSTF)regulating gut microbiota and improving learning and memory ability of Alzhei-mer's disease(AD)model mice.Methods APP/PS1 mice were administered by BSTF for eight weeks.The spatial learning and memory ability of mice were detected by Morris water maze.The changes in the gut microbiota abundance and diversity of mice were detec-ted by 16S rDNA technology.The morphological chan-ges of hippocampus were observed by HE staining.The expression of the activation of microglia in hippocampus was detected by immunofluorescence.The expressions of pro-inflammatory factors of TLR4,NF-κB and IL-6 in brain tissue were detected by Western blot.Results Compared with the model group,the escape latency and swimming path were shortened,the times of target crossings after removing the platform increased in BSTF groups(P＜0.05),the α-diversity increased and the abundance of gut microbiota was regulated,the mor-phological structure and pathological damage of hipp-ocampal cells were improved,the co-expression of iN-OS/Iba1 decreased and the co-expression of Arg1/Iba1 increased significantly(P＜0.01),the transformation of M1 to M2 of microglial cells was promoted,and the expression of TLR4,NF-κB and IL-6 protein decreased significantly.Conclusions BSTF can improve the learning and memory ability of APP/PS1 mice,and its mechanism may be related to regulating the gut micro-biota and the LPS/TLR4/NF-κB pathway,inhibiting the activation of pro-inflammatory microglia,reducing inflammation in hippocampus and improving the patho-logical damage of hippocampal cells.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.