■细菌培养和药物敏感性试验已成为确定社区获得性耐甲氧西林金黄色葡萄球菌(CA-MRSA)感染的金标准。然而,这些测试可能会延迟治疗并增加医院感染的风险。为了处理和改善这一危急情况,本研究旨在探索有助于CA-MRSA感染快速诊断的生物标志物.
■这项研究首次应用无标记定量蛋白质组学和非靶向代谢组学,以鉴定感染CA-MRSA的乳腺脓肿中潜在的差异表达蛋白(DEP)和差异表达代谢物(DEM)与甲氧西林敏感的金黄色葡萄球菌(MSSA)相比。使用生物信息学对两个组学数据进行整合和分析,并使用平行反应监测(PRM)对结果进行了验证。产生受试者工作特征(ROC)曲线以评估所鉴定的生物标志物用于诊断CA-MRSA感染的预测效率。
■使用上述策略后,确定了109个DEP,其中86个上调,23个下调。此外,在正离子和负离子模式下,总共筛选了61和26个DEM,分别。联合分析表明,氨基酸代谢,鞘糖脂生物合成,和甘油磷脂代谢途径由上游DEP和下游DEM共同富集,这可能参与构建CA-MRSA感染的相关网络。此外,三个重要的DEM,即,吲哚-3-乙酸,L-(-)-蛋氨酸,和D-去甲庚糖7-磷酸,在ROC分析中对CA-MRSA感染的早期识别显示出良好的辨别能力。
■由于该领域的高质量证据和多种组学研究有限,探索的候选生物标志物和通路可能为中国女性CA-MRSA感染的早期诊断和耐药机制提供新的见解.
Bacterial culture and drug sensitivity testing have been the gold standard for confirming community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) infection in breast abscess with a long history. However, these tests may delay treatment and increase the risk of nosocomial infections. To handle and improve this critical situation, this study aimed to explore biomarkers that could facilitate the rapid diagnosis of CA-MRSA infection.
This study for the first time applied label-free quantitative proteomics and non-targeted metabonomics to identify potential differentially expressed proteins (DEPs) and differentially expressed metabolites (DEMs) in breast abscess infected with CA-MRSA compared to methicillin-susceptible S. aureus (MSSA). The two omics data were integrated and analyzed using bioinformatics, and the results were validated using Parallel Reaction Monitoring (PRM). Receiver operating characteristic (ROC) curves were generated to evaluate the predictive efficiency of the identified biomarkers for diagnosing CA-MRSA infection.
After using the above-mentioned strategies, 109 DEPs were identified, out of which 86 were upregulated and 23 were downregulated. Additionally, a total of 61 and 26 DEMs were initially screened in the positive and negative ion modes, respectively. A conjoint analysis indicated that the amino acid metabolism, glycosphingolipid biosynthesis, and glycerophospholipid metabolism pathways were co-enriched by the upstream DEPs and downstream DEMs, which may be involved in structuring the related network of CA-MRSA infection. Furthermore, three significant DEMs, namely, indole-3-acetic acid, L-(-)-methionine, and D-sedoheptulose 7-phosphate, displayed good discriminative abilities in early identification of CA-MRSA infection in ROC analysis.
As there is limited high-quality evidence and multiple omics research in this field, the explored candidate biomarkers and pathways may provide new insights into the early diagnosis and drug resistance mechanisms of CA-MRSA infection in Chinese women.