OBJECTIVE To explore the mechanism of joint injection of Caulophyllum robustum Maxim in the treatment of rheumatoid arthritis （RA）. METHODS The targets of main saponins in C. robustum Maxim were obtained from Swiss Target Prediction， and the RA treatment targets collected from the GeneCards and OMIM database were intercrossed to establish an interaction network based on network pharmacology. Gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis were performed. RA model was established by injecting complete Freund’s adjuvant into the back of rabbits for verification. The arthritis index score， knee diameter and pain threshold of rabbits were compared. Pathological examination of rabbit synovial tissue was carried out. The levels of tumor necrosis factor α （TNF-α）， interleukin-1β （IL-1β） and IL-6 in rabbit serum and synovial fluid were detected. The phosphorylation levels of tyrosine protein Janus kinase 2 （JAK2） and signal transducer and activator of transcription 3 （STAT3） proteins in rabbit synovium were detected. RESULTS Network pharmacology identified 143 intersection targets between the drug and RA. After the construction of the “drug-component-target” network， the core components of the network were echinocystic acid， oleanolic acid， hederagenin， cauloside A and cauloside C， etc. Additionally， the top 10 core targets of PPI network were SRC， STAT3， MAPK1， EGFR， PIK3CA， MAPK3， GRB2， JUN， PTPN11 and JAK2. The results of KEGG pathway analysis showed that the JAK/STAT signaling pathway was mainly involved in the treatment of RA by joint injection of C. robustum Maxim. Results of validation test showed that compared with model group， joint injection of C. robustum Maxim could reduce the swelling of rabbit knee joint， relieve the hyperplasia of synovial layer， reduce the hyperplasia of lower connective tissue， and reduce the number of inflammatory cells and capillaries. The arthritis index score （excluding low-dose group of C. robustum Maxim）， knee diameter， the levels of TNF-α， IL-1β and IL-6 in serum and synovial fluid， and the protein phosphorylation levels of JAK2 and STAT3 were decreased significantly （P＜0.05 of P＜0.01）， while the pain threshold were reduced significantly （P＜0.01）. CONCLUSIONS The core components that may alleviate the inflammatory response of RA in joint injection of C. robustum Maxim could include echinocystic acid， oleanolic acid， hederagenin， cauloside A， and cauloside C. Its mechanism may be related to the inhibition of JAK/STAT signaling pathway and the reduction of inflammatory responses.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Exosomes represent a class of nanoscale extracellular vesicles that facilitate the exchange of genetic information among various cells.Alzheimer's disease(AD)stands as a progressive neurodegenerative disorder characterized by its subtle and advan-cing onset,representing the foremost form of dementia lacking effective therapeutic interventions.Notably,investigations have illuminated the involvement of exosomes in the pathogenesis of AD,attributing diagnostic and therapeutic significance to their role,particularly concerning exosomal microRNAs(miRNA).The miRNAs carried by exosomes serve as potential biomarkers for AD,while also exhibiting potential benefits in ameliorating cognitive dysfunction in individuals afflicted by AD.This article aims to comprehensively review the origins of exosomes(encom-passing both mesenchymal cell-derived exosomes and brain-de-rived exosomes)and their potential as therapeutic agents targe-ting AD.

Objective:To systematically evaluate the bias risk and applicability of short-term mortality risk prediction models within 30 days after stroke, providing a basis for selecting or developing standardized risk prediction models.Methods:Research on short-term mortality risk prediction models within 30 days after stroke was electronically retrieved from China National Knowledge Infrastructure, WanFang Data, VIP, and China Biomedical Database, PubMed, Web of Science, Embase, Cochrane Library and CINAHL. The search period was from database establishment to December 5, 2023. Two researchers independently conducted literature screening and quality evaluation.Results:Twelve studies were included, and a total of 31 models were internally validated, with 7 models undergoing external validation based on internal validation. 26 models reported discriminative power, and 18 models reported calibration methods. The most frequent predictors of modeling were age, hypertension, atrial fibrillation, diabetes and admission Glasgow Coma Scale score. Due to methodological problems such as insufficient sample size, improper handling of missing variables, and inadequate reporting of modeling information, all included studies were rated as high risk of bias.Conclusions:The research on short-term mortality risk prediction models for stroke patients is still in the development stage. Although it has good applicability, the risk of bias is relatively high. Future research should be designed and reported based on prediction model risk of bias assessment tool (PROBAST) and transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) to avoid common problems summarized in this study and reduce the risk of bias.

Pathological mood changes,mainly depression,occurring during the diagnosis and treatment of breast cancer are referred to as breast cancer-related depression(BCRD).Numerous epidemiological and clinical studies have confirmed that BCRD is a complex condition that is difficult to treat and has a poor prognosis.Most existing clinical treatments involve the use of postoperative chemotherapy for breast cancer,and antidepressant drugs,which treat breast cancer and depression as two independent diseases and have various disadvantages such as low efficiency and strong adverse reactions.Traditional Chinese Medicine(TCM)has a unique value in the prevention and treatment of BCRD via its ability to regulate multiple pathways and targets using multiple components at the same time.In this paper,we review the mechanism of BRCD and the therapeutic mechanisms of TCM from the aspects of neurological disorders,inflammatory immune response,and intestinal flora disorders,with a view to providing references for the clinical application and research of TCM in the treatment of BCRD.

Viral infection can induce endoplasmic reticulum stress(ERS)and unfolded protein re-sponse(UPR)in host cells,resulting in perturbation of endoplasmic reticulum homeostasis.To e-lucidate the action mechanism of isochlorogenic acid A(IAA)in regulating peste des petits rumi-nant virus(PPRV)-induced ERS and UPR,MTT assay,indirect immunofluorescence assay and Western blot were used to evaluate the anti-PPRV activity of IAA,and the effects of IAA on PPRV-induced ERS and PERK signaling pathway were studied by Western blot and quantitative real-time PCR.The results showed that the PPRV replication and virus-induced cytopathic in LDG-2 cells were significantly inhibited,and the survival rate of virus-infected cells was significantly in-creased due to IAA treatment.Compared with the virus control group,the expression levels of GRP78 and p-eIF2α,the ratios of p-PERK/PERK and p-eIF2α/eIF2α in IAA treated PPRV-infec-ted cells were significantly decreased.The expression level of GADD153 significantly decreased at 24,36 h,and significantly increased at 48,60 h.Furthermore,treatment with ERS inhibitor 4-PBA could significantly suppress the expression levels of GRP78,PPRV-N protein and GADD153 in PPRV-infected cells,and the ratios of p-eIF2α/eIF2α and p-PERK/PERK in PPRV-infected cells were also significantly decreased caused by treatment with IAA or 4-PBA and IAA combination.These findings implicated that the PPRV-induced ERS could be alleviated by inhibiting activation of the PERK-eIF2α-GADD1 53 signaling pathway,which led to restriction of PPRV replication in host cells.