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Meningococo C. Haeemophilus b. Neumococo.

Diagnóstico

El diagnóstico de la meningitis bacteriana se realiza analizando una muestra de líquido cefalorraquídeo (de la médula espinal). Dicha muestra se obtiene mediante una punción en la la columna vertebral (punción lumbar).

Además, el especialista puede pedir otras pruebas para confirmarlo, como una ecografía o una tomografía axial computadorizada (TC) que permitan determinar si existe un absceso responsable de la meningitis.

Tratamientos

La mayor parte de las personas que sufre una meningitis viral se cura sin problemas.

En la meningitis bacteriana el tratamiento consiste en cuidados específicos en el hospital y terapia intensa con antibióticos .

Otros cuidados que se le pueden prescribir al paciente son la administración de líquidos por vía intravenosa y medicamentos para tratar lesiones asociadas que pueden aparecer, como el edema cerebral, el shock o las crisis epilépticas.

Es imprescindible el diagnóstico precoz y la rápida asistencia del especialista . En algunos casos la enfermedad evoluciona con gran fuerza o afecta a personas con el sistema inmune débil y pueden provocar desenlaces fatales.

Si el diagnóstico de la meningitis se hace tarde o el paciente no recibe el tratamiento adecuado, esta enfermedad puede provocar lesiones en el paciente . Las más destacadas son:

lesiones en el paciente

La meningitis se reduce en un 50% con la inmunización

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Not applicable.

The data and materials supporting the conclusions of this article are included within the article and its additional files.

adenomatous polyposis coli

antibiotic resistance gene-ANNOTation

colorectal cancer

the database for annotation, visualization and integrated discovery

database of essential genes

epithelial-mesenchymal transition

gene ontology

host-pathogen interaction database

host-pathogen protein-protein interactions

inflammatory bowel disease

kyoto encyclopedia of genes and genomes

lymphoid enhancer factor

lipopolysaccharide

outer membrane proteins

resistance-nodulation-cell division

The Cancer Genome Atlas

toll-like receptors

virulence factors database

Dr. R. Krishna and Amit Kumar gratefully acknowledge Council of Scientific and Industrial Research (CSIR), India for providing financial support to carry out this research work.

Funding

The Council Of Scientific And Industrial Research (CSIR), New Delhi, India (37(1610)/13/EMR-II).

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/ ) applies to the data made available in this article, unless otherwise stated.

Additional file 1: Table S1. List of essential genes in from DEG. Table S2. virulence factors list from VFDB search and literature. Table S3. List of resistance causing proteins from ARG-ANNOT tool. (XLSX 66kb)
Additional file 2: Table S4. Non-human homologous proteins present in . Table S5. Metabolic pathways of non-human homologous proteins according to KEGG. Table S6. Pathogen-specific metabolic pathways of screened proteins in . Table S7. Subcellular localization of druggable proteins. (XLSX 45kb)
Additional file 3: Table S8. Homology based HP-PPIs predicted from HPIDB. Table S9. Pathway enrichment analysis of host genes from DAVID functional annotation tool. Table S10. Gene ontology report of host genes. Table S11. Disease enrichment analysis of host genes participated in HP-PPIs. Table S12. Total functional annotation cluster analysis of host genes. (XLSX 99kb)

The authors declare that they have no competing interests.

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