Using a k-means clustering to identify novel phenotypes of acute ischemic stroke and development of its Clinlabomics models.

Objective: Acute ischemic stroke (AIS) is a heterogeneous condition. To stratify the heterogeneity, identify novel phenotypes, and develop Clinlabomics models of phenotypes that can conduct more personalized treatments for AIS. Methods: In a retrospective analysis, consecutive AIS and non-AIS inpatients were enrolled. An unsupervised k-means clustering algorithm was used to classify AIS patients into distinct novel phenotypes. Besides, the intergroup comparisons across the phenotypes were performed in clinical and laboratory data. Next, the least absolute shrinkage and selection operator (LASSO) algorithm was used to select essential variables. In addition, Clinlabomics predictive models of phenotypes were established by a support vector machines (SVM) classifier. We used the area under curve (AUC), accuracy, sensitivity, and specificity to evaluate the performance of the models. Results: Of the three derived phenotypes in 909 AIS patients [median age 64 (IQR: 17) years, 69% male], in phenotype 1 (N = 401), patients were relatively young and obese and had significantly elevated levels of lipids. Phenotype 2 (N = 463) was associated with abnormal ion levels. Phenotype 3 (N = 45) was characterized by the highest level of inflammation, accompanied by mild multiple-organ dysfunction. The external validation cohort prospectively collected 507 AIS patients [median age 60 (IQR: 18) years, 70% male]. Phenotype characteristics were similar in the validation cohort. After LASSO analysis, Clinlabomics models of phenotype 1 and 2 were constructed by the SVM algorithm, yielding high AUC (0.977, 95% CI: 0.961-0.993 and 0.984, 95% CI: 0.971-0.997), accuracy (0.936, 95% CI: 0.922-0.956 and 0.952, 95% CI: 0.938-0.972), sensitivity (0.984, 95% CI: 0.968-0.998 and 0.958, 95% CI: 0.939-0.984), and specificity (0.892, 95% CI: 0.874-0.926 and 0.945, 95% CI: 0.923-0.969). Conclusion: In this study, three novel phenotypes that reflected the abnormal variables of AIS patients were identified, and the Clinlabomics models of phenotypes were established, which are conducive to individualized treatments.

AXL-Induced Autophagy mitigates experimental autoimmune encephalomyelitis by suppressing microglial inflammation via the PI3K/AKT/mTOR signaling pathway.

Microglia, being the primary immune cells of the central nervous system (CNS), are responsible for pathological inflammatory demyelination in multiple sclerosis (MS). It has been demonstrated that AXL, one of the receptor tyrosine kinases, could alleviate the inflammatory response of microglia. However, the specific mechanism remains unclear. Herein, we explored the role of AXL in the autophagy of microglia and its effect on the experimental autoimmune encephalomyelitis (EAE) model. We revealed that knockout of AXL in BV2 microglia significantly promoted the expression of phosphorylated-PI3K/p-AKT/p-mTOR while significantly inhibiting LC3-Ⅱ/Beclin1. Similarly, autophagy was significantly inhibited in the AXL-/- mice. Knockout of AXL induced serious symptoms, infiltration of inflammatory cells, and demyelination changes, manifesting as the upregulation of pro-inflammatory factors TNF-α and IL-6 and downregulation of anti-inflammatory factors TGF-ß and IL-10. In conclusion, this study substantiated that autophagy induced by AXL inhibited the inflammatory response of microglia and alleviated symptoms of EAE. Autophagy activation was mediated by the PI3K/AKT/mTOR signaling pathway.

Primary large B-cell lymphoma of the central nervous system with positive NMDAR antibody: a case report.

BACKGROUND: N-methyl-D-aspartate receptor (NMDAR) is an ionotropic glutamate (Glu) receptor that is widely expressed in the central nervous system (CNS), mainly in the hippocampus. We present a case in which the patient had atypical clinical manifestations and was positive for anti-NMDAR antibodies. CASE PRESENTATION: A 40-year-old male was admitted to the hospital with "dizziness and double vision for 2 months". At admission, the patient was lethargic, had short-term memory loss, exhibited loss of orientation (time, place, and person) and calculation ability, and had limited left eye abduction. After admission, serum anti- NMDAR antibody was 1:32, and cerebrospinal fluid was 1:1. Magnetic resonance imaging (MRI) revealed diffuse abnormal signals in the bilateral basal ganglia, thalamus, brainstem, hippocampus, and temporal lobe, with patchy and heterogeneous enhancement. A stereotactic brain biopsy was performed, and the pathological results indicated normal brain tissue. Preliminary diagnosis suggested anti-NMDAR antibody encephalitis. The patient was treated with methylprednisolone combined with intravenous gamma globulin; the symptoms were alleviated, and the patient was discharged. Two months later, the patient's symptoms worsened, and a second stereotactic brain biopsy was performed. The pathological results showed that the patient had primary diffuse large B-cell lymphoma of the CNS, and the patient was transferred to the Department of Hematology and received chemotherapy combined with rituximab. The patient was in stable condition. CONCLUSIONS: When the primary CNS diffuses large B-cell lymphoma is associated with autoimmune encephalitis, it is very easy to be misdiagnosed. The diagnosis should not be based on the pathological examination that was performed in the early stage of the disease. Therefore, in the diagnosis of immune diseases caused by nervous system infections, it is necessary to dynamically observe the evolution of the disease, perform differential diagnoses when necessary, and ultimately improve our understanding of the disease.

Mechanism of gut microbiota and Axl/SOCS3 in experimental autoimmune encephalomyelitis.

Multiple sclerosis (MS) is an immune-mediated disease of the central nervous system (CNS). The present study explored the role of intestinal microbiota in the initiation and propagation of mice induced by experimental autoimmune encephalomyelitis (EAE), an animal model of multiple sclerosis. 48 C57BL/6 were randomly divided into control group and EAE group. The changes of body weight and the scores of neurological function were recorded. The mRNA expression of the receptor tyrosine kinase subfamily (AXL) was detected by real-time quantitative PCR. The levels of IL-17 and IFN-γ in blood samples were examined by ELISA. The intestinal microbial composition of mice at different time points during the EAE induction was analyzed by 16S rRNA gene-based sequencing. In EAE group, the body weight began to reduce at day 3 and neurological symptoms began to appear at day 7 after EAE induction. The levels of IL-17 and IFN-γ in EAE group reached the peak at day 21 and then decreased gradually. However, the expression of Axl and SOCS3 reached the lowest level at day 21 and then increased gradually. The microbiome analyses revealed that the abundances of Alistipes, Blautia, and Lachnospiraceae_NK4A136_group were significantly changed at day 14, whereas the abundances of Allobaculum, Eubacterium and Helicobacter were significantly changed at day 30 of EAE induction. The prevotellaceae_NK3B31_group may be key bacteria that contribute to the development of MS. Regulation of intestinal microbiota composition can become a new therapeutic target for the treatment of MS.

A meta-analysis to determine the efficacy and tolerability of anti-B-cell monoclonal antibodies in multiple sclerosis.

The present study performed a meta-analysis of randomized controlled trials in multiple sclerosis (MS) patients to evaluate the efficacy and safety of anti-B-cell monoclonal antibodies (mAbs). To the best of our knowledge, no previous meta-analysis has evaluated this. Relevant studies published until March 2015 were retrieved from the PubMed, EMBASE and Cochrane Library using the following keywords: 'Clinical trial', 'randomized', 'multiple sclerosis' or 'MS' and 'monoclonal antibodies' or 'mAbs'. Two authors independently selected the articles and extracted the data. The meta-analysis was performed using Review Manager version 5.3 software. Four randomized clinical trials comprising a total of 745 patients were selected. Anti-B-cell mAb treatment reduced the formation of gadolinium-enhancing lesions [mean difference (MD)=-5.62; 95% confidence interval (CI)=-8.00 to -3.24; P<0.001) and was associated with smaller volume changes of lesions on T2-weighted magnetic resonance imaging (MD=-604.40; 95% CI=-941.23 to -267.57; P<0.001). It also significantly reduced the proportion of MS patients having at least one relapse [odds ratio (OR)=0.25; 95% CI=0.14-0.44; P<0.001). Compared to placebo, anti-B-cell mAb treatment did not increase the frequency of adverse events (OR=0.90; 95% CI=0.54-1.49; P=0.68) and serious adverse events (OR=1.13; 95% CI=0.70-1.80; P=0.62). In conclusion, the present meta-analysis suggested that anti-B-cell mAbs are a relatively effective and safe treatment for MS.