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1.
Mol Cell Proteomics ; 17(8): 1457-1469, 2018 08.
Artículo en Inglés | MEDLINE | ID: mdl-29284593

RESUMEN

Pre-eclampsia is one of the main causes of perinatal mortality and morbidity. Many biomarkers for diagnosing pre-eclampsia have been found but most have low accuracy. Therefore, a potential marker that can detect pre-eclampsia with high accuracy is required. Infection has been reported as a cause of pre-eclampsia. In recent years, protein microarray chips have been recognized as a strong and robust tool for profiling antibodies for infection diagnoses. The purpose of the present study was to profile antibodies in the human plasma of healthy and pre-eclamptic pregnancies to identify suitable biomarkers. In this study, an Escherichia coli chip was probed with samples from 29 individuals (16 pre-eclamptic women and 13 healthy pregnant women) to profile plasma antibodies. Bioinformatics tools were used to analyze the results, discover conserved motifs, compare against the entire human proteome, and perform protein functional analysis. An antibody classifier was identified using k-top scoring pairs and additional samples for a blinded test were collected. The findings indicated that compared with the healthy women, the pre-eclamptic women exhibited 108 and 130 differentially immunogenic proteins against human immunoglobulins G and M, respectively. In addition, pre-eclamptic women developed more immunoglobulin G but less immunoglobulin M against bacterial surface proteins compared with healthy women. The k-top scoring pairs identified five pairs of immunogenic proteins as classifiers with a high accuracy of 90% in the blind test. [AG] [ISV] GV [AE] L [LF] and [IV] [IV] RI [AG] [AD] E were the consensus motifs observed in immunogenic proteins in the immunoglobulin G and immunoglobulin M of pre-eclamptic women, respectively, whereas GA [AG] [AL] L [LF] and [SRY] [IQML] [ILV] [ILV] [ACG] GI [GH] [AEF] [AK] [ATY] [RG] N [IV] were observed in the immunoglobulins G and immunoglobulin M of healthy women, respectively.


Asunto(s)
Anticuerpos/sangre , Antígenos/metabolismo , Proteínas de Escherichia coli/metabolismo , Escherichia coli/metabolismo , Preeclampsia/sangre , Preeclampsia/inmunología , Proteoma/metabolismo , Proteómica/métodos , Adulto , Secuencias de Aminoácidos , Secuencia de Aminoácidos , Proteínas de Escherichia coli/química , Femenino , Humanos , Preeclampsia/diagnóstico , Embarazo , Análisis por Matrices de Proteínas , Unión Proteica
2.
Sci Rep ; 11(1): 5677, 2021 03 11.
Artículo en Inglés | MEDLINE | ID: mdl-33707498

RESUMEN

Thalassemias are inherited blood disorders that are found in high prevalences in the Mediterranean, Southeast Asia and the Pacific. These diseases provide varying levels of resistance to malaria and are proposed to have emerged as an adaptive response to malaria in these regions. The transition to agriculture in the Holocene has been suggested to have influenced the selection for thalassemia in the Mediterranean as land clearance for farming encouraged interaction between Anopheles mosquitos, the vectors for malaria, and human groups. Here we document macroscopic and microscopic skeletal evidence for the presence of thalassemia in both hunter-gatherer (Con Co Ngua) and early agricultural (Man Bac) populations in northern Vietnam. Firstly, our findings demonstrate that thalassemia emerged prior to the transition to agriculture in Mainland Southeast Asia, from at least the early seventh millennium BP, contradicting a long-held assumption that agriculture was the main driver for an increase in malaria in Southeast Asia. Secondly, we describe evidence for significant malarial burden in the region during early agriculture. We argue that the introduction of farming into the region was not the initial driver of the selection for thalassemia, as it may have been in other regions of the world.


Asunto(s)
Adaptación Fisiológica , Evolución Biológica , Agricultores , Malaria/transmisión , Talasemia/patología , Asia Sudoriental/epidemiología , Huesos/patología , Geografía , Humanos , Cráneo/diagnóstico por imagen , Cráneo/patología , Talasemia/diagnóstico , Talasemia/diagnóstico por imagen
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