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1.
Cell Host Microbe ; 32(1): 25-34.e5, 2024 Jan 10.
Artículo en Inglés | MEDLINE | ID: mdl-38029742

RESUMEN

Emerging SARS-CoV-2 sub-lineages like XBB.1.5, XBB.1.16, EG.5, HK.3 (FLip), and XBB.2.3 and the variant BA.2.86 have recently been identified. Understanding the efficacy of current vaccines on these emerging variants is critical. We evaluate the serum neutralization activities of participants who received COVID-19 inactivated vaccine (CoronaVac), those who received the recently approved tetravalent protein vaccine (SCTV01E), or those who had contracted a breakthrough infection with BA.5/BF.7/XBB virus. Neutralization profiles against a broad panel of 30 sub-lineages reveal that BQ.1.1, CH.1.1, and all the XBB sub-lineages exhibit heightened resistance to neutralization compared to previous variants. However, despite their extra mutations, BA.2.86 and the emerging XBB sub-lineages do not demonstrate significantly increased resistance to neutralization over XBB.1.5. Encouragingly, the SCTV01E booster consistently induces higher neutralizing titers against all these variants than breakthrough infection does. Cellular immunity assays also show that the SCTV01E booster elicits a higher frequency of virus-specific memory B cells. Our findings support the development of multivalent vaccines to combat future variants.


Asunto(s)
Infección Irruptiva , Vacunas contra la COVID-19 , COVID-19 , Inmunización Secundaria , Humanos , COVID-19/prevención & control , SARS-CoV-2/genética , Anticuerpos Neutralizantes , Anticuerpos Antivirales
2.
Anal Chem ; 95(1): 388-406, 2023 01 10.
Artículo en Inglés | MEDLINE | ID: mdl-36625112

RESUMEN

Electrochemical biosensors provide powerful tools for dissecting the dynamically changing neurochemical signals in the living brain, which contribute to the insight into the physiological and pathological processes of the brain, due to their high spatial and temporal resolutions. Recent advances in the integration of in vivo electrochemical sensors with cross-disciplinary advances have reinvigorated the development of in vivo sensors with even better performance. In this Review, we summarize the recent advances in molecular design, electrode materials, and electrochemical devices for in vivo electrochemical sensors from molecular to macroscopic dimensions, highlighting the methods to obtain high performance for fulfilling the requirements for determination in the complex brain through flexible and smart design of molecules, materials, and devices. Also, we look forward to the development of next-generation in vivo electrochemical biosensors.


Asunto(s)
Técnicas Biosensibles , Técnicas Electroquímicas , Técnicas Electroquímicas/métodos , Electrodos , Técnicas Biosensibles/métodos , Encéfalo
3.
BMC Endocr Disord ; 22(1): 137, 2022 May 24.
Artículo en Inglés | MEDLINE | ID: mdl-35610700

RESUMEN

BACKGROUND: Apelin is a new adipokine that is secreted by adipocytes, and is associated with insulin resistance (IR), inflammation, and obesity. This study was designed to investigate the role of apelin in type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI). METHODS: A total of 235 patients with T2DM were included. The cognitive function of patients was evaluated using Montreal Cognitive Assessment (MoCA) tool, then patients were divided into MCI group and non-MCI group according to the MoCA score. Blood sample was analyzed for the level of apelin by enzyme-linked immunosorbent assay (ELISA). RESULTS: The MCI group (n = 73) presented lower serum apelin levels compared with the patients with normal cognitive function (P < 0.001). Apelin levels showed significantly negative correlation with diabetes duration, triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C, creatinine and high sensitivity C-reactive protein (hs-CRP), and positive correlation with high-density lipoprotein cholesterol (HDL-C) and brain-derived neurotrophic factor (BDNF). Multivariable logistic regression analysis indicated that serum apelin (OR = 0.304, 95%CI: 0.104-0.886, P = 0.029), as well as education levels, diabetes duration, cardiovascular disease, serum HbA1c, HDL-C, creatinine, and BDNF, were independent risk factors of MCI in patients with T2DM. CONCLUSIONS: Serum apelin level is reduced in T2DM patients with MCI. Apelin might has protective effect against cognitive impairment and serve as a serum biomarker of T2DM.


Asunto(s)
Apelina , Disfunción Cognitiva , Diabetes Mellitus Tipo 2 , Apelina/sangre , Factor Neurotrófico Derivado del Encéfalo/sangre , Colesterol/sangre , Disfunción Cognitiva/sangre , Disfunción Cognitiva/diagnóstico , Disfunción Cognitiva/etiología , Creatinina , Diabetes Mellitus Tipo 2/sangre , Humanos
4.
PLoS One ; 8(4): e61814, 2013.
Artículo en Inglés | MEDLINE | ID: mdl-23626734

RESUMEN

Tachinid flies are natural enemies of many lepidopteran and coleopteran pests of forests, crops, and fruit trees. In order to address the lack of genetic data in this economically important group, we sequenced the complete mitochondrial genome of the Palaearctic tachinid fly Elodia flavipalpis Aldrich, 1933. Usually found in Northern China and Japan, this species is one of the primary natural enemies of the leaf-roller moths (Tortricidae), which are major pests of various fruit trees. The 14,932-bp mitochondrial genome was typical of Diptera, with 13 protein-coding genes, 22 tRNA genes, and 2 rRNA genes. However, its control region is only 105 bp in length, which is the shortest found so far in flies. In order to estimate dipteran evolutionary relationships, we conducted a phylogenetic analysis of 58 mitochondrial genomes from 23 families. Maximum-likelihood and Bayesian methods supported the monophyly of both Tachinidae and superfamily Oestroidea. Within the subsection Calyptratae, Muscidae was inferred as the sister group to Oestroidea. Within Oestroidea, Calliphoridae and Sarcophagidae formed a sister clade to Oestridae and Tachinidae. Using a Bayesian relaxed clock calibrated with fossil data, we estimated that Tachinidae originated in the middle Eocene.


Asunto(s)
Dípteros/genética , Genes Mitocondriales , Genoma Mitocondrial , ARN de Transferencia/genética , Animales , Secuencia de Bases , Teorema de Bayes , Evolución Biológica , Mapeo Cromosómico , Dípteros/clasificación , Fósiles , Mitocondrias/genética , Datos de Secuencia Molecular , Mariposas Nocturnas/parasitología , Conformación de Ácido Nucleico , Control Biológico de Vectores , Filogenia , ARN de Transferencia/química , ARN de Transferencia/clasificación , Factores de Tiempo
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