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1.
Pharm Biol ; 60(1): 1790-1800, 2022 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-36102587

RESUMO

CONTEXT: Jing-an oral liquid (JA) is a Chinese herbal formula used in the treatment of Tourette syndrome (TS); however, its mechanism is unclear. OBJECTIVE: To investigate the effects of JA on amino acid neurotransmitters and microglia activation in vivo and in vitro. MATERIALS AND METHODS: Sixty male Sprague-Dawley rats were divided into a control group and 5 TS groups. TS was induced in rats with intraperitoneal injection of 1-(2,5-dimethoxy-4-iodophenyl)-2-aminopropane (1 mg/kg) and in BV2 cells with lipopolysaccharide. Control and model rats were administered saline, whereas treatment groups were administered JA (5.18, 10.36, or 20.72 g/kg) or tiapride (a benzamide, 23.5 mg/kg) by gavage once daily for 21 days. Stereotypic behaviour was tested. The levels of N-methyl-d-aspartate receptor (NMDAR)/mitogen-activated protein kinase/cAMP response element-binding protein (CREB)-related proteins in striatum and BV2 cells were measured via western blots. CD11b and IBa1 levels were also measured. Ultra-high-performance liquid-chromatography was used to determine γ-aminobutyric acid (GABA), glutamic acid (Glu), and aspartic acid (ASP) levels. RESULTS: JA markedly alleviated the stereotype behaviour (25.92 ± 0.35 to 13.78 ± 0.47) in rats. It also increased NMDAR1 (0.48 ± 0.09 to 0.67 ± 0.08; 0.54 ± 0.07 to 1.19 ± 0.18) expression and down-regulated the expression of p-ERK, p-JNK, p-P38, and p-CREB in BV2 cells and rat striatum. Additionally, Glu, ASP, GABA, CD11b, and IBa1 levels were significantly decreased by JA. DISCUSSION AND CONCLUSIONS: JA suppressed microglia activation and regulated the levels of amino acid neurotransmitters, indicating that it could be a promising therapeutic agent for TS.


Assuntos
Síndrome de Tourette , Animais , Proteína de Ligação ao Elemento de Resposta ao AMP Cíclico/metabolismo , Ácido Glutâmico , Masculino , Ratos , Ratos Sprague-Dawley , Receptores de N-Metil-D-Aspartato , Síndrome de Tourette/tratamento farmacológico , Síndrome de Tourette/metabolismo , Ácido gama-Aminobutírico
2.
J Clin Lab Anal ; 36(3): e24244, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35040184

RESUMO

BACKGROUND: Long non-coding RNAs (lncRNAs) play crucial roles in immune regulation and, therefore, may be closely related to the tumor microenvironment (TME). However, there are few studies regarding the relationship between the lncRNAs and the TME in liver cancer. METHODS: Firstly, we constructed a lncRNA signature based on the top 10 immune-inversely related lncRNAs obtained from the ImmLnc database and performed disease-free survival (DFS) and overall survival (OS) analyses for the patients included in the Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) stratified by the lncRNA signature. Then, we explored the relationship between the lncRNA signature with distinct mutation profiles and the tumor microenvironment (TME). RESULTS: The lncRNA signature was successfully constructed and verified by survival analysis. The high lncRNA signature was correlated with a decreased DFS and OS in liver cancer and other two gastrointestinal cancers. The mutation profiles showed that the Lnc_high group had a higher number of mutations on many genes, mostly enriched in p53 and WNT pathways. The TME results showed that the Lnc_high group had the highest proportion (51%) of lymphocyte depletion-characterized immune subtype, and a higher expression of immune checkpoint molecules such as LAG3, PD-L1, CTLA4. On the contrary, in the Lnc_low group, infiltrating immune-cell proportions were significantly higher, and a significant enhancement of four axes of the cancer immunity cycle immunogram was observed in this group. CONCLUSIONS: The lncRNA signature we constructed identified an immune-excluded subtype of liver cancer with unfavorable clinic outcomes, which could be tested as a biomarker for immunotherapy in the future.


Assuntos
Carcinoma Hepatocelular , Neoplasias Hepáticas , RNA Longo não Codificante , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Carcinoma Hepatocelular/patologia , Perfilação da Expressão Gênica/métodos , Humanos , Neoplasias Hepáticas/patologia , RNA Longo não Codificante/metabolismo , Microambiente Tumoral/genética
3.
Artigo em Inglês | MEDLINE | ID: mdl-36742270

RESUMO

Objective: Tourette syndrome (TS) is a chronic neuropsychiatric disorder characterized by abnormal movements, phonations, and tics, but an accurate TS diagnosis remains challenging and indeed depends on its description of clinical symptoms. Our study was conducted to discover and verify some metabolite biomarkers based on nontargeted and targeted metabolomics. Methods: We conducted untargeted ultrahigh-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) for preliminary screening of potential biomarkers on 30 TS patients and 10 healthy controls and then performed validation experiments based on targeted ultrahigh-performance liquid chromatography triple quadrupole-MS (UHPLC/MS/MS) on 35 TS patients and 14 healthy controls. Results: 1775 differentially expressed metabolites were identified by partial least squares discriminant analysis (PLS-DA), fold-change analysis, T-test, and hierarchical clustering analysis (adjusted p value <0.05 and |logFC| > 1). TS plasma samples were found to be differentiated from healthy samples in our approach. Furthermore, aspartate and asparagine metabolism pathways were considered to be a significant enrichment pathway in TS progression based on metabolite pathway enrichment analysis. For the 8 metabolites involved in this pathway that we detected, we then performed validation experiments based on targeted UHPLC/MS/MS. The t-test, Mann-Whitney U test, and receiver operating characteristic (ROC) curve analysis were used to determine potential biomarkers. Ultimately, L-arginine and L-pipecolic acid were validated as significantly differentiated metabolites (p < 0.05), with an AUC of 70.0% and 80.3%, respectively. Conclusion: L-pipecolic acid was defined as a potential biomarker for TS diagnosis by the combined application of nontargeted and targeted metabolomic analysis.

4.
Int J Gen Med ; 14: 7951-7959, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34795511

RESUMO

OBJECTIVE: Henoch-Schönlein purpura (HSP) is the most common vasculitis in children. Renal involvement is the main long-term complication of HSP, and presently there is no way to predict which children may have irreversible renal damage from the outset. This study aimed to explore the prediction value of laboratory indexes on renal involvement in children with HSP, which could help the early identification and intervention. METHODS: Children with HSP hospitalized at the First Affiliated Hospital of Henan University of Chinese Medicine from June 2019 to December 2020 were included. The demographic findings, clinical features, laboratory findings including blood routine examination, serum immunoglobulin, complement, T cell subsets levels, liver and kidney function, coagulation function were recorded. Laboratory indexes were analyzed, logistic regression analysis was performed to identify the independent predictors in HSP patients with renal involvement, and receiver operating characteristic (ROC) curves were further used to assess the value of prediction indexes, as well as the efficacy of combined diagnosis. RESULTS: The study included 146 HSP patients, among them, 50 patients (34.2%) had renal involvement. Age, platelet distribution width (PDW), CD3+ and fibrinogen (FIB) were positively correlated with renal involvement, while the levels of Immunoglobulin G (IgG), C-reactive protein (CRP), and neutrophil/lymphocyte ratio (NLR) were negatively correlated with renal involvement. The area under the ROC Curve (AUC) of these biomarkers ranged from 0.6284 to 0.7009, and among the combinations, a combination of NLR, CRP, CD3+, FIB, PDW, IgG and age had the best AUC value (0.9774). CONCLUSION: Age, PDW, CD3+, FIB, CRP, NLR and IgG were prediction indexes for renal involvement in HSP patients, and these indexes can be combined appropriately to improve the diagnostic efficacy.

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