A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

Genome-Scale Meta-analysis of Host Responses to Staphylococcus aureus Identifies Pathways for Host-Directed Therapeutic Targeting. | LitMetric

Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Staphylococcus aureus infections are frequently complicated by metastatic foci, recurrence, and death. Antimicrobial resistance and intracellular bacterial persistence limit the effectiveness of conventional antimicrobials. Host-directed therapies could improve outcomes, but the interpretive complexity of pathogen-host interactions impedes identification of critical responses suitable for therapeutic targeting. To address this, we performed a meta-analysis of genome-scale studies aiming to prioritize host responses to S aureus.

Methods: Lists of genes associated with host responses to S aureus were retrieved from systematically identified genome-scale studies, then integrated using the meta-analysis by information content (MAIC) algorithm. This generated a single aggregated gene list, ranked based on the cumulative evidence supporting each gene.

Results: MAIC prioritized 3867 host genes. Myeloid cell immune responses were enriched with specific hubs including TLR2, IL-17, IFN-γ, and IL-1β. Noncanonical effector pathways were also enriched: autophagy (specific factors including mTOR and LAMP2), apoptosis (including BAD and BID), ferroptosis and iron metabolism (TFRC ranked 8/3876), and proteasomal antimicrobial responses (including PSME3 and the novel antimicrobial peptide PPP1CB). Prioritized genes were associated with genome-wide association study traits related to platelet count. In a cohort of patients with S aureus bacteremia, platelet count was differentially associated with clinical outcomes. Targets with immediate therapeutic relevance included S aureus/fibrin/platelet microthrombus formation (VWF, GP11b), S aureus-induced platelet loss (ASGR2), autophagy (mTOR), BID-mediated apoptosis, and intracellular bacterial killing (IFN-γ).

Conclusions: This in silico analysis identifies cytokine hubs associated with the response to S aureus infection and prioritizes additional host responses including apoptosis, autophagy, iron metabolism, and thrombosis as therapeutic targets.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12349957PMC
http://dx.doi.org/10.1093/infdis/jiaf290DOI Listing

Publication Analysis

Top Keywords

host responses
16
staphylococcus aureus
8
therapeutic targeting
8
intracellular bacterial
8
genome-scale studies
8
genes associated
8
iron metabolism
8
responses including
8
platelet count
8
responses
7

Similar Publications