Bacterial infection is a major threat to global public health, and can cause serious diseases such as bacterial skin infection and foodborne diseases. It is essential to develop a new method to rapidly diagnose clinical multiple bacterial infections and monitor food microbial contamination in production sites in real-time. In this work, we developed a 4-mercaptophenylboronic acid gold nanoparticles (4-MPBA-AuNPs)-functionalized hydrogel microneedle (MPBA-H-MN) for bacteria detection in skin interstitial fluid. MPBA-H-MN could conveniently capture and enrich a variety of bacteria within 5 min. Surface enhanced Raman spectroscopy (SERS) detection was then performed and combined with machine learning technology to distinguish and identify a variety of bacteria. Overall, the capture efficiency of this method exceeded 50%. In the concentration range of 1 × 10⁷ to 1 × 10¹⁰ colony-forming units/mL (CFU/mL), the corresponding SERS intensity showed a certain linear relationship with the bacterial concentration. Using random forest (RF)-based machine learning, bacteria were effectively distinguished with an accuracy of 97.87%. In addition, the harmless disposal of used MNs by photothermal ablation was convenient, environmentally friendly, and inexpensive. This technique provided a potential method for rapid and real-time diagnosis of multiple clinical bacterial infections and for monitoring microbial contamination of food in production sites.

Given the increasing concern regarding antibacterial resistance, the antimicrobial properties of naphthoquinones have recently attracted significant attention. While 1,4-naphthoquinone and its derivatives have been extensively studied, the antibacterial properties of 5,8-dihydroxy-1,4-naphthoquinone derivatives remain relatively unexplored. This study presents a comprehensive in vitro and in vivo analysis of the antibacterial activity of 35 naturally sourced and chemically synthesized derivatives of 5,8-dihydroxy-1,4-naphthoquinone. Kirby-Bauer antibiotic testing identified three compounds with activity against methicillin-resistant Staphylococcus aureus (MRSA), with one compound (PNP-02) demonstrating activity comparable to vancomycin in minimum inhibitory concentration, minimum bactericidal concentration (MBC), and time-kill assays. Microscopic and biochemical analyses revealed that PNP-02 adversely affects the cell wall and cell membrane of MRSA. Mechanistic investigations, including proteomic sequencing analyses, Western blotting, and RT-qPCR assays, indicated that PNP-02 compromises cell membrane integrity by inhibiting arginine biosynthesis and pyrimidine metabolism pathways, thereby increasing membrane permeability and inducing bacterial death. In an in vivo mouse model of skin wound healing, PNP-02 exhibited antibacterial efficacy similar to vancomycin. The compound demonstrated low toxicity to cultured human cells and in hemolysis assays and remained stable during serum incubation. These findings suggest that PNP-02 possesses promising bioactivity against MRSA and represents a potential novel antibacterial agent.
Methicillin-Resistant Staphylococcus aureus/genetics* ; Anti-Bacterial Agents/chemistry* ; Naphthoquinones/administration & dosage* ; Animals ; Microbial Sensitivity Tests ; Mice ; Humans ; Staphylococcal Infections/microbiology* ; Molecular Structure

Bacterial infection is a major threat to global public health,and can cause serious diseases such as bacterial skin infection and foodborne diseases.It is essential to develop a new method to rapidly di-agnose clinical multiple bacterial infections and monitor food microbial contamination in production sites in real-time.In this work,we developed a 4-mercaptophenylboronic acid gold nanoparticles(4-MPBA-AuNPs)-functionalized hydrogel microneedle(MPBA-H-MN)for bacteria detection in skin inter-stitial fluid.MPBA-H-MN could conveniently capture and enrich a variety of bacteria within 5 min.Surface enhanced Raman spectroscopy(SERS)detection was then performed and combined with ma-chine learning technology to distinguish and identify a variety of bacteria.Overall,the capture efficiency of this method exceeded 50％.In the concentration range of 1 × 10 7 to 1 × 10 10 colony-forming units/mL(CFU/mL),the corresponding SERS intensity showed a certain linear relationship with the bacterial concentration.Using random forest(RF)-based machine learning,bacteria were effectively distinguished with an accuracy of 97.87％.In addition,the harmless disposal of used MNs by photothermal ablation was convenient,environmentally friendly,and inexpensive.This technique provided a potential method for rapid and real-time diagnosis of multiple clinical bacterial infections and for monitoring microbial contamination of food in production sites.

To construct a recombinant fowl adenovirus 4(FAdV-4)expressing the Cap protein of goose astrovirus genotype 2(GoAstV-2),the expression cassette of Cap gene was inserted into the natural 1 966 bp deletion region of the FAdV-4 genome in the infectious clone p15A-cm-FAdV4-HNJZ.The resulted recombinant plasmid p15A-cm-FAdV4-HNJZ-Cap/GoAstV-2 was linearized with restriction enzyme and transfected into chicken hepatoma cell line(LMH)to rescue the recombinant FAdV-4 expressing the Cap protein of GoAstV-2,rF Ad V4-Cap/GoAstV-2.After 15 passages in LMH cells,the recombinant rFAdV4-Cap/GoAstV-2 was identified by PCR using primers flanking the insertion site of the Cap gene expression cassette and using viral genome DNA extracted from rFAdV4-Cap/GoAstV-2 infected LMH cells as template.LMH cells were in-fected with 15th passage rFAdV4-Cap/GoAstV-2 and indirect immunofluorescence was performed with a polyclonal antibody against Cap protein as the primary antibody.Western blot was carried out with lysates of rFAdV4-Cap/GoAstV-2 infected LMH cells.The in vitro replication dynamic of the 15th passage of the rFAdV4-Cap/GoAstV-2 was also investigated in LMH cells.The results demonstrated that the Cap gene of GoAstV-2 was presented in the genome of the recombinant vi-rus rF AdV4-Cap/Go Ast V-2,and could be expressed stably.The prepared recombinant virus in this study will lay a foundation for developing inactivated bivalent vaccine candidate against co-in-fection of FAdV-4 and GoAstV-2 in goose.

Objective:To conduct a symptom network analysis in patients with systemic lupus erythematosus (SLE) and identify core symptoms, in order to provide a foundation for the development of precision-based symptom management interventions.Methods:A convenience sampling method was used to recruit 420 SLE patients who received treatment at Shengjing Hospital of China Medical University between November 2022 and July 2023. The SLE Specific Symptom Checklist was administered to these patients. A contemporaneous symptom network was constructed using a Gaussian graphical model, and centrality measures including closeness centrality, betweenness centrality, and expected influence coefficient were calculated to determine the core symptoms within the network.Results:The most commonly reported symptoms among the 420 patients were fatigue (65.7%, 276/420), hair loss (59.8%, 251/420), photosensitivity (56.9%, 239/420), memory impairment (54.5%, 229/420), and facial swelling (52.1%, 219/420). In the symptom network analysis, the most central symptom was photosensitivity (closeness centrality=1.58; betweenness centrality=2.56; expected influence coefficient=1.06), followed by skin fragility (closeness centrality=1.00; betweenness centrality=0.43; expected influence coefficient=1.78), gastrointestinal discomfort (closeness centrality=1.30; betweenness centrality=1.14; expected influence coefficient=0.77), fatigue (closeness centrality=0.50; betweenness centrality=0.70; expected influence coefficient=1.61), and mood changes (closeness centrality=0.65; betweenness centrality=1.14; expected influence coefficient=0.89) .Conclusions:Among the various symptoms experienced by SLE patients, photosensitivity, skin fragility, gastrointestinal discomfort, fatigue, and mood changes emerged as core symptoms that influence and activate other symptoms in the network. Healthcare professionals should tailor symptom management strategies based on patients' self-reported symptom profiles, prioritize intervention targets, and work to reduce the overall symptom burden in individuals with SLE.

Objective:To conduct a symptom network analysis in patients with systemic lupus erythematosus (SLE) and identify core symptoms, in order to provide a foundation for the development of precision-based symptom management interventions.Methods:A convenience sampling method was used to recruit 420 SLE patients who received treatment at Shengjing Hospital of China Medical University between November 2022 and July 2023. The SLE Specific Symptom Checklist was administered to these patients. A contemporaneous symptom network was constructed using a Gaussian graphical model, and centrality measures including closeness centrality, betweenness centrality, and expected influence coefficient were calculated to determine the core symptoms within the network.Results:The most commonly reported symptoms among the 420 patients were fatigue (65.7%, 276/420), hair loss (59.8%, 251/420), photosensitivity (56.9%, 239/420), memory impairment (54.5%, 229/420), and facial swelling (52.1%, 219/420). In the symptom network analysis, the most central symptom was photosensitivity (closeness centrality=1.58; betweenness centrality=2.56; expected influence coefficient=1.06), followed by skin fragility (closeness centrality=1.00; betweenness centrality=0.43; expected influence coefficient=1.78), gastrointestinal discomfort (closeness centrality=1.30; betweenness centrality=1.14; expected influence coefficient=0.77), fatigue (closeness centrality=0.50; betweenness centrality=0.70; expected influence coefficient=1.61), and mood changes (closeness centrality=0.65; betweenness centrality=1.14; expected influence coefficient=0.89) .Conclusions:Among the various symptoms experienced by SLE patients, photosensitivity, skin fragility, gastrointestinal discomfort, fatigue, and mood changes emerged as core symptoms that influence and activate other symptoms in the network. Healthcare professionals should tailor symptom management strategies based on patients' self-reported symptom profiles, prioritize intervention targets, and work to reduce the overall symptom burden in individuals with SLE.

To construct a recombinant fowl adenovirus 4(FAdV-4)expressing the Cap protein of goose astrovirus genotype 2(GoAstV-2),the expression cassette of Cap gene was inserted into the natural 1 966 bp deletion region of the FAdV-4 genome in the infectious clone p15A-cm-FAdV4-HNJZ.The resulted recombinant plasmid p15A-cm-FAdV4-HNJZ-Cap/GoAstV-2 was linearized with restriction enzyme and transfected into chicken hepatoma cell line(LMH)to rescue the recombinant FAdV-4 expressing the Cap protein of GoAstV-2,rF Ad V4-Cap/GoAstV-2.After 15 passages in LMH cells,the recombinant rFAdV4-Cap/GoAstV-2 was identified by PCR using primers flanking the insertion site of the Cap gene expression cassette and using viral genome DNA extracted from rFAdV4-Cap/GoAstV-2 infected LMH cells as template.LMH cells were in-fected with 15th passage rFAdV4-Cap/GoAstV-2 and indirect immunofluorescence was performed with a polyclonal antibody against Cap protein as the primary antibody.Western blot was carried out with lysates of rFAdV4-Cap/GoAstV-2 infected LMH cells.The in vitro replication dynamic of the 15th passage of the rFAdV4-Cap/GoAstV-2 was also investigated in LMH cells.The results demonstrated that the Cap gene of GoAstV-2 was presented in the genome of the recombinant vi-rus rF AdV4-Cap/Go Ast V-2,and could be expressed stably.The prepared recombinant virus in this study will lay a foundation for developing inactivated bivalent vaccine candidate against co-in-fection of FAdV-4 and GoAstV-2 in goose.

Alzheimer's disease(AD)is a common degenerative disease of the central nervous system in which neuropathological changes precede cognitive dysfunction and behavioral impairment. Currently, early diagnosis of AD is based on invasive and expensive testing techniques that are difficult to use widely in the clinical setting. Therefore, there is an urgent need for new markers to detect AD at an early stage. The eye, as an extension of the brain, has been found to show earlier onset of ocular pathologic changes in patients with AD compared to brain pathologic changes, such as retinal structural abnormalities, visual dysfunction, retinal abnormal protein accumulation, choroidal thickness changes, decreased corneal nerve fiber density, deposition of abnormal Aβ proteins in the lens, and pupillary light decreased sensitivity of response, etc. This article reviews the ocular pathologic changes in AD patients in recent years to provide new ideas for the early clinical diagnosis of AD.

Objective To analyze the diversity and composition changes of gut fungal communities between mouse model of total parental nutrition(TPN)and normal control mice.Methods After mouse model of TPN was constructed,fresh feces were collected from TPN mice(n=5)and normal control mice(n=5).Internal transcribed spacer(ITS)DNA sequencing was applied to determine intestinal fungi,and then bioinformatics analysis was conducted to identify the differences in fungal diversity,structure,and functional properties between the 2 groups of mice.Results There were significant differences in Alpha diversity(P＜0.05)and Beta diversity(P＜0.01)of intestinal fungi between the 2 groups.In the TPN model group,the relative abundances of Candida,Penicillium,Aspergillus and Talaromyces were obviously reduced(all P＜0.01).LEfSe analysis indicated that the above 4 strains were notably enriched in the normal control mice.Conclusion TPN mice exhibit characteristic changes in the composition of gut fungal flora compared to normal control mice.Dysfunction of gut fungal community may promote the occurrence of TPN related complications,and regulating the balance of gut fungal community may become a new strategy for preventing TPN related complications.