Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a severe autoimmune disease that is commonly accompanied by cognitive impairment and various neurological and psychiatric symptoms, advanced image analyses help explore the pathogenesis of this disease. Therefore, this study aimed to explore specific structural and functional alterations and their relationship with the clinical symptoms of anti-NMDAR encephalitis. In this study, twenty-two patients with anti-NMDAR encephalitis after the acute stage and 29 controls received cognitive assessments and magnetic resonance imaging. Grey matter atrophy was measured using voxel-based morphometry, and functional alterations in abnormal regions were subsequently investigated using resting state functional connectivity (RSFC). Finally, correlation analyses were performed to explore the associations between imaging alterations and cognitive assessments. The patients demonstrated significant gray matter atrophy in the bilateral triangle part of the inferior frontal gyrus (triIFG.L and triIFG.R) and right precuneus, decreased RSFC between triIFG.L and bilateral Heschl gyrus (HES), decreased RSFC between triIFG.R and HES.R, decreased RSFC between right precuneus and left cerebellum, and increased RSFC between triIFG.R and left superior frontal gyrus. Further correlation analyses showed that the gray matter volume in triIFG.R and decreased RSFC between triIFG.L and HES.R were associated with decreased memory scores, whereas decreased RSFC between triIFG.R and HES.R was marginally correlated with the disease course in patients. In conclusion, this study suggests that cognitive impairments in patients with anti-NMDAR encephalitis may be mainly associated with gray matter atrophy and abnormal RSFC in the triIFG. These findings provide new insights into anti-NMDAR encephalitis pathogenesis and help explore potential treatments.
ObjectiveTo analyze the combination therapy of Sinomenine (SIN) and Methotrexate (MTX) in rheumatoid arthritis (RA), we herein demonstrated the combination effect of SIN and MTX on collagen-induced arthritis (CIA) in rats through their modulation on osteoclast-related cytokines.MethodsCIA was induced by the immunization of type II collagen (CII) in SD rats. SIN and MTX were administrated alone or in combination after the onset of arthritis. Arthritis index and histological analysis were used to evaluate the effect of treatments. Effects of SIN and MTX on expression of receptor activator of NF-κB ligand (RANKL) and osteopontin (OPN) in synovial tissues were assayed by immunohistochemistry. RANKL, osteoprotegerin (OPG), IL-6, IL-17 and matrix metalloproteinases (MMPs) in rat serum were measured by ELISA. The expression of osteoclast-related cytokines in fibroblast-like synoviocytes (FLS) from RA patients was assayed by RT-PCR.ResultsSIN and MTX combination additively reduced the inflammatory symptoms and joint damage in CIA. Combination of SIN and MTX significantly repressed synovial RANKL and OPN production. SIN and MTX exhibited complementary and synergistic effect upon down-regulating RANKL, IL-6, IL-17 and MMPs in rat serum. SIN and MTX also modulated the expression of RANKL and OPG in RA-FLS.ConclusionSIN and MTX have additive effects, decreasing inflammation and joint damage in CIA rats by modulating osteoclast-related cytokines. These results are indicative of the combined effect of SIN and MTX for anti-arthritic treatment in RA. 相似文献
Acute lung injury (ALI) is a severe clinical disease with high mortality rates. Chicoric acid (CA), an active component extracted from traditional Chinese medicine, was suggested to have anti-inflammatory and anti-oxidant activities. Inflammation and oxidative damage are implicated in the pathogenesis of ALI. In this study, we explored the protection effect of CA on LPS-induced ALI, and further discussed the possible molecular mechanisms. The results showed that CA could significantly improve the histological changes of LPS-induced acute lung injury. In addition, CA not only decreased LPS-stimulated protein leakage and lung wet/dry ratio but also reduced inflammatory cell infiltration, myeloperoxidase (MPO) activity and the generation of pro-inflammatory cytokines in bronchoalveolar lavage fluid (BALF). Meanwhile, CA lessened the reactive oxygen species (ROS) generation, and malondialdehyde (MDA) formation, and decreased glutathione (GSH) and superoxide dismutase (SOD) depletion, which were caused by LPS challenge. Furthermore, CA dramatically inhibited LPS-stimulated MAPK and NLRP3 activation and increased the expression of NAD (P) H: quinone oxidoreductase (NQO1), and dismutase (SOD), glutamate-cysteine ligase catalytic/modifier (GCLC/GCLM) subunit and heme oxygenase-1 (HO-1), as well as its upstream genes nuclear factor-erythroid 2-related factor 2 (Nrf2), which might be central to the protective effects of CA. In conclusion, these data indicated that the protective effects and mechanisms of CA on LPS-induced ALI and provided new insights for its application. 相似文献
ObjectivesFrailty is an increasingly common health condition and is seen more often due to the ageing population. This study reviews the evidence on the development and validation of these automated frailty measurement tools.DesignSix databases: PubMed, EMBASE, MEDLINE, CINAHL, Scopus, and Web of Science were electronically searched. Selected studies must have developed and validated a new frailty measurement tool using administrative health data and published results in a peer-reviewed, English-language journal. Selected studies were synthesized narratively.Setting and participantsThe review focused on large scale studies using administrative health data in developed countries. Participants included older people aged 65 years and above.MeasuresThe main measures of review studies include discrimination power and the prediction ability of adverse health outcomes; performance against established frailty measures; and validation records.ResultsFive studies were selected for narrative synthesis after screening the full-text. All frailty measurement tools in the selected five studies produced strong discrimination power with C-statistics ranging from 0.61−97. Two studies were independently validated in studies by other authors or conducted in other locations; one study developed an early prediction model, and no study has been applied in practice.Conclusions and implicationsAutomated frailty measurement tools using administrative health data are still in the early development stage with five tools developed since 2016. Selected studies have strong prediction of adverse health outcomes. Future studies should include validation and refinement of these tools in other countries and assessment of their clinical utility and capacity to inform cost-effective policy and practice. 相似文献