With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

OBJECTIVES: To investigate the effect of avitinib for suppressing NLRP3 inflammasome activation and alleviating septic shock and explore the underlying mechanism. METHODS: Mouse bone marrow-derived macrophages (BMDM), human monocytic leukemia cell line THP-1, and peripheral blood mononuclear cells (PBMC) isolated from healthy volunteers were pre-treated with avitinib, followed by activation of the canonical NLRP3 inflammasome using agonists including nigericin, monosodium urate (MSU) crystals, or adenosine triphosphate (ATP). Non-canonical NLRP3 inflammasome activation was induced via intracellular transfection of lipopolysaccharide (LPS). Western blotting was used to detect the secretory protein markers of NLRP3 inflammasome activation and assess pyroptosis, and the levels of inflammatory cytokines in cell culture supernatant were determined with ELISA. In a mouse model of LPS-induced septic shock, the effect of avitinib treatment on the levels of inflammatory cytokines in serum and peritoneal lavage fluid were examined with ELISA, and survival curves of the mice were plotted using the Kaplan-Meier method. RESULTS: Avitinib significantly inhibited NLRP3 inflammasome activation in multiple cell types, and dose-dependently reduced IL-1β secretion and caspase-1 cleavage while suppressing GSDMD-mediated pyroptosis without obviously affecting IL-6 or TNF-α levels. In the mouse models of LPS-induced septic shock, avitinib significantly lowered IL-1β levels in serum and peritoneal fluid and extended survival time of the mice. CONCLUSIONS Avitinib suppresses NLRP3 inflammasome activation and alleviates septic shock in mice.
Animals ; Shock, Septic/metabolism* ; Mice ; NLR Family, Pyrin Domain-Containing 3 Protein ; Inflammasomes/drug effects* ; Humans ; Macrophages/metabolism* ; Interleukin-1beta/metabolism* ; Lipopolysaccharides

Objective To analyze the medication rules of Professor HUANG Feng for the treatment of low back pain using data mining methods.Methods The information of prescriptions for the effective cases of outpatients with low back pain treated by Professor HUANG Feng were collected and screened.Microsoft Excel 2019 was used to analyze the frequency of medication and the distribution of properties,flavors and meridian tropism of the drugs in the included prescription.IBM SPSS Modeler 18.0 was used for association rule analysis,and IBM Statistics 26.0 was used for cluster analysis.Results A total of 239 prescriptions and 75 Chinese medicines were included.There were 23 high-frequency Chinese medicines with the medication frequency being or over 20 times,and the top 10 Chinese medicines were Glycyrrhizae Radix et Rhizoma,vinegar-processed Corydalis Rhizoma,Cibotii Rhizoma,Atractylodis Macrocephalae Rhizoma,Zanthoxyli Radix,salt-processed Achyranthis Bidentatae Radix,Rehmanniae Radix,Dipsaci Radix,Coicis Semen,and Salviae Miltiorrhizae Radix et Rhizoma.The medicines were mainly warm in nature,and were sweet,bitter and pungent in flavor.Most of the drugs had the meridian tropism of liver,stomach and spleen meridians.Among the drug combinations obtained from association rule analysis with the top 20 highest support,vinegar-processed Corydalis Rhizoma,Cibotii Rhizoma,Atractylodis Macrocephalae Rhizoma and Zanthoxyli Radix were the core drugs.Cluster analysis yielded 6 clustering combinations.Conclusion For the treatment of low back pain,Professor HUANG Feng follows the principle of"treatment adapting to the climate,individuality,and environment"and"treating the root cause of the disease",usually adopts the drugs for activating blood,moving qi and relieving pain,nourishing the liver and kidney,and also uses the medicines for replenishing qi and strengthening the spleen.The ideas of HUANG Feng for the treatment of low back pain can be used as a reference for the clinical treatment.

Porcine parvovirus(PPV)is a causative agent of porcine parvovirus infection(PPI),which significantly impacts the pig industry due to its association with reproductive dysfunction.The condition is characterized by stillbirth,mummified fetuses,fetal weakness,and abortion in pregnant sows.The pathogenic mechanism remains incompletely understood,with no effective therapeutic drugs available currently.Despite extensive research on the host's response to PPV in-fection and identification of various signaling pathway transduction mechanisms,a comprehensive understanding is still lacking.This review aims to summarize the current knowledge regarding al-terations in related signaling pathways following PPV infection,provide novel insights into the pathogenesis of PPV and facilitate the drug development.

Porcine circovirus type 2(PCV2)is the main pathogen causing porcine circovirus related diseases.PCV2 infection in pigs may lead to porcine dermatitis and nephrotic syndrome(PDNS)and weaned piglets multiple system failure syndrome(PMWS),etc.At present,the pathogenic mechanism is not fully understood.PCV2 is a single strand of negative link DNA,which can cause immune suppression in the body and lead to increased secondary susceptibility,which has a syner-gistic effect with various pig diseases and brings major economic losses to the pig industry.Al-though there are commercial vaccines,the prevention of vaccines has certain limitations and there is no effective drug treatment so far,an outbreak will threaten people's life and health and public safety,resulting in significant economic losses.In order to understand the latest progress of PCV2 escape mechanism and prevention and control,this paper summarizes the inhibition of interferon production,regulation of apoptosis,regulation of autophagy,regulation of pyroptosis and inflam-matory response,evasion of adaptive immune response,and prevention and control of PCV2,in or-der to provide new theoretical ideas for the research and prevention and control of PCV2.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Sirolimus self-microemulsion-mesoporous silicon sustained release tablets were prepared in order to improve the dissolution of the insoluble drug sirolimus and reduce its side effects. Firstly, sirolimus self-microemulsion was prepared and cured with mesoporous silicon. Secondly, the suitable excipients were selected according to the appearance, hardness and in vitro release rate. The sustained-release tablets with hydroxypropyl methylcellulose (HPMC) as skeleton material were prepared by powder direct pressing method, and the formulation was optimized by central composite design-response surface method to investigate the drug release in vitro. Finally, the pharmacokinetics was carried out in beagle dogs using the commercial sirolimus tablets as references. The final formulation of sustained-release tablets is as follows: 162 mg of sirolimus self-microemulsion-mesoporous silica (1∶1, w/w), 80 mg of HPMC K4M and 80 mg of carboxymethyl starch sodium, the microcrystalline cellulose is 168 mg. The results of in vitro release test showed that the self-made sustained-release tablets released slowly within 12 h, which conformed to the Ritger-Peppas model. The in vivo test results showed that compared with the commercial sirolimus tablets, the C_max of the sustained-release tablets decreased by 49.47%, the T_max of the sustained-release tablets was prolonged by 5.1 times, and the relative bioavailability was 105.81%. Sirolimus self-microemulsion-mesoporous silicon sustained-release tablets have good sustained-release effects in vitro and in vivo, which provides a reference for the solubilization of other insoluble drugs and the research and development of sustained-release preparations. Animal experiments and welfare processes were reviewed and approved by the Animal Ethics Committee of the 900TH Hospital of the Joint Logistics support Force.

OBJECTIVE: To improve the understanding of the virome and bacterial microbiome in the wildlife rescue station of Poyang Lake, China. METHODS: Ten smear samples were collected in March 2019. Metagenomic sequencing was performed to delineate bacterial and viral diversity. Taxonomic analysis was performed using the Kraken2 and Bracken methods. A maximum-likelihood tree was constructed based on the RNA-dependent RNA polymerase (RdRp) region of picornavirus. RESULTS: We identified 363 bacterial and 6 viral families. A significant difference in microbial and viral abundance was found between samples S01-S09 and S10. In S01-S09, members of Flavobacteriia and Gammaproteobacteria were the most prevalent, while in S10, the most prevalent bacteria class was Actinomycetia. Among S01-S09, members of Myoviridae and Herelleviridae were the most prevalent, while the dominant virus family of S10 was Picornaviridae. The full genome of the pigeon mesivirus-like virus (NC-BM-233) was recovered from S10 and contained an open reading frame of 8,124 nt. It showed the best hit to the pigeon mesivirus 2 polyprotein, with 84.10% amino acid identity. Phylogenetic analysis showed that RdRp clustered into Megrivirus B. CONCLUSION This study provides an initial assessment of the bacteria and viruses in the cage-smeared samples, broadens our knowledge of viral and bacterial diversity, and is a way to discover potential pathogens in wild birds.
Animals ; Animals, Wild/genetics* ; Lakes ; Phylogeny ; Picornaviridae/genetics* ; Viruses/genetics* ; China ; Metagenomics ; Genome, Viral

Objective:To analyze the risk factors of clinically significant bleeding in patients with severe acute pancreatitis (SAP).Methods:The clinical data of SAP patients who were managed at Changhai Hospital affiliated to Naval Medical University from January 1, 2014 to October 31, 2022 were retrospectively analyzed. Twenty-nine SAP patients with clinically significant bleeding were classified to form the bleeding group. There were 23 males and 6 females, aged (56.25±14.01) years old. Another 116 SAP patients with similar general data but with no clinically significant bleeding during the same hospitalization period were included to form the non-bleeding group based on a ratio of 1∶4. There were 94 males and 22 females, aged (56.14±13.96) years old in this non-bleeding group. The general data, modified CT severity index (MCTSI), bedside index for severity of acute pancreatitis (BISAP) and other clinical data of the two groups were collected to determine the risk factors of bleeding in SAP patients.Results:Of the 29 patients with bleeding, 6 had gastrointestinal bleeding, 14 had intra-abdominal bleeding, and 9 had mixed bleeding sites, 15 were cured and discharged, and 14 died. All the 29 SAP patients with bleeding received treatment using drugs. In addition, 8 patients underwent successful hemostasis using digital subtraction angiography, 3 underwent successful endoscopic hemostasis, 2 underwent successful surgical hemostasis, and 2 underwent successful conservative drug hemostasis. Multivariate logistic regression analysis showed that SAP patients with higher MCTSI ( OR=1.824, 95% CI: 1.187-2.802), longer prothrombin time (PT) ( OR=3.431, 95% CI: 1.470-8.007) and higher BISAP ( OR=2.286, 95% CI: 1.054-4.957) had an increased risk of bleeding (all P<0.05). Conclusion:The prognosis of SAP patients was compromised with bleeding. High MCTSI, prolonged PT, and high BISAP were independent risk factors for bleeding in SAP patients.