Lactic acid bacteria (LAB) are promising candidates for live bacterial drug delivery systems owing to their safety, probiotic properties, and ability to colonize the intestinal tract. At present, most research focuses on engineering LAB as carriers for the delivery of therapeutic proteins. As model organisms equipped with a versatile set of genetic tools, LAB can be readily modified to target various diseases and yield significant therapeutic effects. LAB-based carriers offer multiple advantages, including non-invasive delivery, ease of genetic manipulation, and suitability for large-scale production. Consequently, the use of LAB as recombinant protein expression vectors has attracted extensive research interest worldwide. The foundational principles, strategies for enhancing bioavailability, genetic engineering approaches, and the current research and application status of LAB-based drug delivery systems were summarized in this paper.

This paper analyzed the characteristics of peer psychological counseling conducted by class committee member for psychology in universities and the dilemmas they faced in four aspects， including dual relationships， confidentiality issues， competence issues， and informed consent. It also examined the causes of these ethical dilemmas and corresponding countermeasures one by one. Specific work requirements were proposed for class committee member for psychology in conducting peer psychological counseling. These encompassed clarifying the nature and boundaries of the helping relationship， establishing appropriate settings， discussing the impacts of dual relationships， maintaining confidentiality awareness， adopting appropriate confidentiality measures， actively participating in training to improve competence， making timely referrals when exceeding their professional scope， ensuring proper informed consent， and maintaining value neutrality. Recommendations were also put forward for universities to strengthen the training and management of class committee member for psychology， enhance their ethical awareness， and ensure the effectiveness of peer counseling.

Neuropathic pain, a debilitating condition caused by dysfunction of the somatosensory nervous system, remains difficult to treat due to limited understanding of its molecular mechanisms. Bioinformatics analysis identified cerebellin 2 (CBLN2) as highly enriched in human and murine proprioceptive and nociceptive neurons. We found that CBLN2 expression is persistently upregulated in dorsal root ganglia (DRG) following spinal nerve ligation (SNL) in mice. In addition, transcription factor SOX11 binds to 12 cis-regulatory elements within the Cbln2 promoter to enhance its transcription. SNL also induced SOX11 upregulation, with SOX11 and CBLN2 co-localized in nociceptive neurons. The siRNA-mediated knockdown of Sox11 or Cbln2 attenuated SNL-induced mechanical allodynia and thermal hyperalgesia. High-throughput sequencing of DRG following intrathecal injection of CBLN2 revealed widespread gene expression changes, including upregulation of numerous NF-κB downstream targets. Consistently, CBLN2 activated NF-κB signaling, and inhibition with pyrrolidine dithiocarbamate reduced CBLN2-induced pain hypersensitivity, proinflammatory cytokines and chemokines production, and neuronal hyperexcitability. Together, these findings identified the SOX11/CBLN2/NF-κB axis as a critical mediator of neuropathic pain and a promising target for therapeutic intervention.
Animals ; Neuralgia/metabolism* ; Ganglia, Spinal/metabolism* ; Up-Regulation ; Mice ; NF-kappa B/metabolism* ; SOXC Transcription Factors/genetics* ; Male ; Neuroinflammatory Diseases/metabolism* ; Mice, Inbred C57BL ; Nerve Tissue Proteins/genetics* ; Hyperalgesia/metabolism* ; Signal Transduction ; Spinal Nerves

Lophatheri Herba (Danzhuye in Chinese) is derived from the dried stems and leaves of Lophatherum gracile and has a long history of use as a medicinal and food source. Flavonoids and phenolic acids are the main active ingredients in Lophatheri Herba, which produce diuretic, anti-inflammatory, and antipyretic effects. Flavonoid glycosides and hydroxybenzoic acids are respectively the main structure in 44 flavonoids and 16 phenolic acids obtained from Lophatheri Herba. Modern pharmacological studies have found that the main chemical constituents of Lophatheri Herba play important roles in anti-inflammatory, cardioprotective, hepatoprotective and hypoglycaemic effects. Studies have demonstrated that flavonoid monomers, for example, luteolin, isoorientin, luteolin-7-O-β-D-glucoside and apigenin are more effective in exerting the above pharmacological effects. In addition, Lophatheri Herba is used in different food products as the main ingredient or as an accessory. This review describes Lophatheri Herba in terms of its chemical composition, pharmacological effects and efficacy, food development and applications, and clinical utility, and discusses the problems facing its use. This study provides valuable ideas and a scientific basis for the future development and use of L. gracile.

OBJECTIVE: This study investigates the efficacy and mechanisms of Qingjie Fuzheng Granules (QFG) in inhibiting colitis-associated colorectal cancer (CAC) development via RNA sequencing (RNA-seq) and 16S ribosomal RNA (rRNA) correlation analysis. METHODS: CAC was induced in BALB/c mice using azoxymethane (AOM) and dextran sulfate sodium (DSS), and QFG was administered orally to the treatment group. The effects of QFG on CAC were evaluated using disease index, histology, and serum T-cell ratios. RNA-seq and 16S rRNA analysis assessed the transcriptome and microbiome change. Key pharmacodynamic pathways were identified by integrating these data and confirmed via Western blotting and immunofluorescence. The link between microbiota and CAC-related markers was explored using linear discriminant analysis effect size and Spearman correlation analysis. RESULTS: Long-term treatment with QFG prevented AOM/DSS-induced CAC formation, reduced levels of interleukin (IL)-1β, tumor necrosis factor-alpha (TNF-α), IL-6, and interferon γ (IFN-γ), and increased CD3⁺ and CD4⁺/CD8⁺ T cells ratio, without causing hepatic or renal toxicity. A 16S rRNA analysis revealed that QFG rebalanced the Firmicutes/Bacteroidetes ratio and mitigated AOM/DSS-induced microbiota disturbances. Transcriptomics and Western blotting analysis identified the nucleotide-binding oligomerization domain-containing protein 2 (NOD2)/nuclear factor kappa-B (NF-κB) pathway as key for QFG's treatment against CAC. Furthermore, QFG decreased the abundance of Bacilli, Bacillales, Staphylococcaceae, Staphylococcus, Lactobacillales, Aerococcus, Alloprevotella, and Akkermansia, while increasing Clostridiales, Lachnospiraceae, Lachnospiraceae_NK4A136_group, Ruminococcaceae, and Muribaculaceae, which were highly correlated with CAC-related markers or NOD2/NF-κB pathway. CONCLUSION By mapping the relationships between CAC, immune responses, microbiota, and key pathways, this study clarifies the mechanism of QFG in inhibiting CAC, highlighting its potential for clinical use as preventive therapy.

To investigate the effects of zearalenone(ZEA)on the proliferation and apoptosis of sika deer antler chondrocytes,the chondrocytes were isolated and cultured in vitro and treated with 50μmol/L ZEA for 24 h.Flow cytometry was used to assess cell proliferation,cell cycle,apoptosis,mitochondrial membrane potential,and intracellular levels of reactive oxygen species(ROS).The expression changes of hypertrophic cartilage cell marker genes Col X,Runx2,Alpl,and apoptosis-related genes Casp-3,Bax,Bcl-2 were measured using quantitative PCR.Additionally,glutathione reductase(GR)activity and the levels of the oxidative stress marker malondialdehyde(MDA)were determined.The results showed that after 24 h of ZEA treatment,cell proliferation was sig-nificantly inhibited,with an increase in the number of cells in the G0/G1 phase and a decrease in the S phase.The expression levels of hypertrophic chondrocyte marker genes Col X,Runx2 and Al-pl were significantly increased.Apoptosis rate was significantly increased,with elevated expression of pro-apoptotic genes Casp-3,Bax and reduced expression of the anti-apoptotic gene Bcl-2.The content of MDA in the antler chondrocytes increased,ROS levels rose,and GR activity decreased.The mitochondrial membrane potential reduced.The results suggested that ZEA could inhibit the proliferation of antler chondrocytes and promote the apoptosis by regulating cellular oxidative stress responses and the expression of apoptosis-related genes.

Objective To explore the serial mediated role of core self-evaluation and emotion regulation strategies in the relationship between extraversion personality characteristics and loneliness among college students.Methods An offline survey was conducted via Questionnaire Star with 507 college students using the Extraversion Subscale of the Eysenck Personality Questionnaire-Revised Short Scale(EPQ-R Short Scale),the Core Self-Evaluations Scale(CSES),the Emotion Regulation Questionnaire(ERQ),and the Loneliness Scale(UCLA).Data collection was completed through the Wenjuanxing(Questionnaire Star)online platform.Correlation analysis and structural equation modeling(SEM)were employed to examine the effects of extraversion,core self-evaluation,and emotion regulation strategies on loneliness.Results Extraversion was positively correlated with core self-evaluation(r=0.39,P＜0.01)and the cognitive reappraisal dimension of emotion regulation(r=0.23,P＜0.01),but negatively correlated with the expressive suppression dimension of emotion regulation(r=-0.21,P＜0.01)and loneliness(r=-0.45,P＜0.01).Core self-evaluation was positively correlated with cognitive reappraisal(r=0.43,P＜0.01),but negatively correlated with expressive suppression(r=-0.24,P＜0.01)and loneliness(r=-0.60,P＜0.01).Additionally,cognitive reappraisal was negatively correlated with loneliness(r=-0.42,P＜0.01),whereas expressive suppression was positively correlated with loneliness(r=0.35,P＜0.01).Mediation analysis revealed a serial mediation effect,where core self-evaluation and cognitive reappraisal jointly mediated the relationship between extraversion and loneliness(effect size=-0.034,accounting for 7.9％ of the total effect).Similarly,core self-evaluation and expressive suppression also served as serial mediators(effect size=-0.017,accounting for 3.9％ of the total effect).Conclusion Extraversion influences college students' loneliness through both the mediating roles of core self-evaluation and expressive suppression,as well as the serial mediation effects involving core self-evaluation combined with cognitive reappraisal or expressive suppression.This suggests that intervening in core self-evaluation and emotion regulation strategies can effectively mitigate loneliness among college students.

Objective:To quantitatively analyze right ventricular reverse remodeling in patients with severe tricuspid regurgitation after transcatheter tricuspid edge-to-edge repair (T-TEER) by two-dimensional speckle tracking echocardiography, and to preliminarily evaluate the clinical efficacy of this procedure.Methods:This study was a prospective single-center cohort study. Patients diagnosed with severe tricuspid regurgitation at the Xiamen Cardiovascular Hospital Xiamen University from March 2021 to June 2023 were enrolled. All patients underwent transthoracic echocardiography and transesophageal three-dimensional echocardiography before T-TEER, and transthoracic echocardiography at 30 days, 6 months, and 9 months after T-TEER. The primary endpoint was major adverse cardiovascular and cerebrovascular events, including death, stroke, myocardial infarction, reoperation, arrhythmia, and conduction block. Other clinical evaluation indicators included New York Heart Association (NYHA) functional classification and tricuspid regurgitation grade.Results:A total of 34 patients were enrolled, aged (67.9±9.3) years, and 71% (24/34) were female. The median follow-up duration was 9 months. All patients achieved a reduction of tricuspid regurgitation by ≥2 grades at 9 months after T-TEER, with 79% (27/34) of them having mild to moderate tricuspid regurgitation. Transthoracic echocardiography at 9 months after T-TEER showed that the vena contracta width of tricuspid regurgitation ((5.42±2.33) mm vs. (11.54±4.05) mm, P<0.001), effective regurgitant orifice area ((0.24±0.09) cm2 vs. (0.52±0.14) cm2, P<0.001), regurgitant jet area ((7.95±4.02) cm2 vs. (13.93±6.10) cm2, P<0.001), inferior vena cava diameter ((19.38±2.63) mm vs. (23.56±3.31) mm, P<0.001), right ventricular end-diastolic diameter ((28.03±6.26) mm vs. (33.21±8.24) mm, P=0.001), and tricuspid annular diameter ((36.47±4.40) mm vs. (41.44±7.08) mm, P<0.001) were all reduced compared with baseline; while the tricuspid annular plane systolic excursion ((18.08±5.25) mm vs. (14.91±3.42) mm, P=0.005) and right ventricular fractional area change ((37.61±7.52)% vs. (30.79±9.06)%, P=0.004) were both increased compared with baseline. At 9 months after T-TEER, all patients had a NYHA functional classification of grade Ⅰ or Ⅱ, and no major adverse cardiovascular and cerebrovascular event occurred during the follow-up period. Conclusion:It is preliminarily confirmed that T-TEER is safe and effective in the treatment of severe tricuspid regurgitation, with significant right ventricular reverse remodeling observed in patients at 9 months after T-TEER.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics. Similarities and variations of components present significant analytical challenges. A two-dimensional (2D) liquid chromatography-mass spectrometr (LC-MS) method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium (CMS). A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated. For efficient and high-accuracy screening of CMS, a targeted method based on a self-constructed high resolution (HR) mass spectrum database of CMS components was established. The database was built based on the commercial MassHunter Personal Compound Database and Library (PCDL) software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening. On this basis, the unknown peaks in the CMS chromatograms were deduced and assigned. The molecular formula, group composition, and origins of a total of 99 compounds, of which the combined area percentage accounted for more than 95% of CMS components, were deduced by this 2D-LC-MS method combined with the MassHunter PCDL. This profiling method was highly efficient and could distinguish hundreds of components within 3 h, providing reliable results for quality control of this kind of complex drugs.

Structural optimization of lead compounds is a crucial step in drug discovery. One optimization strategy is to modify the molecular structure of a scaffold to improve both its biological activities and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. One of the deep molecular generative model approaches preserves the scaffold while generating drug-like molecules, thereby accelerating the molecular optimization process. Deep molecular diffusion generative models simulate a gradual process that creates novel, chemically feasible molecules from noise. However, the existing models lack direct interatomic constraint features and struggle with capturing long-range dependencies in macromolecules, leading to challenges in modifying the scaffold-based molecular structures, and creates limitations in the stability and diversity of the generated molecules. To address these challenges, we propose a deep molecular diffusion generative model, the three-dimensional (3D) equivariant diffusion-driven molecular generation (3D-EDiffMG) model. The dual strong and weak atomic interaction force-based long-range dependency capturing equivariant encoder (dual-SWLEE) is introduced to encode both the bonding and non-bonding information based on strong and weak atomic interactions. Additionally, a gate multilayer perceptron (gMLP) block with tiny attention is incorporated to explicitly model complex long-sequence feature interactions and long-range dependencies. The experimental results show that 3D-EDiffMG effectively generates unique, novel, stable, and diverse drug-like molecules, highlighting its potential for lead optimization and accelerating drug discovery.