LAP-MALDI MS coupled with machine learning: an ambient mass spectrometry approach for high-throughput diagnostics.

LAP-MALDI MS coupled with machine learning: an ambient mass spectrometry approach for high-throughput diagnostics.
复制标题

DOI:
10.1039/d1sc05171g
复制
发表时间:
2022-02-09
期刊:
影响因子:
8.4
通讯作者:
Cramer R
Cramer R
中科院分区:
化学1区
文献类型:
--
作者:
Piras C;Hale OJ;Reynolds CK;Jones AKB;Taylor N;Morris M;Cramer R

文献摘要

参考文献

被引文献

相似文献

大规模人口筛查以早期和准确地发现疾病是未来诊断的一个关键目标。理想情况下,实现这一目标的诊断测试也具有成本效益、快速且易于适应具有多重潜力的新疾病。质谱法(MS),特别是MALDI MS分析,已在疾病诊断中探索多年,在临床微生物学中最成功,但在疾病的早期检测中较少。在这里,我们提出了液体大气压(MALDI)-MALDI MS分析作为一个快速,大规模和具有成本效益的疾病分析平台。使用这个新平台,两种不同类型的测试验证了其在早期疾病诊断和治疗反应方面的潜力。首先,它表明,LAP-MALDI MS分析检测牛乳腺炎的临床表现前两天的灵敏度高达70%,特异性高达100%。这种高度准确的症状前检测通过使用六个月内每周从大约500头奶牛中收集的大量牛奶样本来证明。其次,LAP-MALDI MS在抗菌素耐药性(AMR)检测中的潜力通过采用与乳腺炎早期检测相同的质谱设置和类似的简单样品制备来显示。LAP-MALDI MS分析提供了快速,具有成本效益的大规模疾病分析,如牛乳腺炎的临床前检测和使用从500头奶牛群中收集的纵向样品进行的抗菌素耐药性测试所证明的。
Large-scale population screening for early and accurate detection of disease is a key objective for future diagnostics. Ideally, diagnostic tests that achieve this goal are also cost-effective, fast and easily adaptable to new diseases with the potential of multiplexing. Mass spectrometry (MS), particularly MALDI MS profiling, has been explored for many years in disease diagnostics, most successfully in clinical microbiology but less in early detection of diseases. Here, we present liquid atmospheric pressure (LAP)-MALDI MS profiling as a rapid, large-scale and cost-effective platform for disease analysis. Using this new platform, two different types of tests exemplify its potential in early disease diagnosis and response to therapy. First, it is shown that LAP-MALDI MS profiling detects bovine mastitis two days before its clinical manifestation with a sensitivity of up to 70% and a specificity of up to 100%. This highly accurate, pre-symptomatic detection is demonstrated by using a large set of milk samples collected weekly over six months from approximately 500 dairy cows. Second, the potential of LAP-MALDI MS in antimicrobial resistance (AMR) detection is shown by employing the same mass spectrometric setup and similarly simple sample preparation as for the early detection of mastitis. LAP-MALDI MS profiling provides rapid, cost-effective large-scale disease analysis as demonstrated by preclinical detection of bovine mastitis and antimicrobial resistance testing using a longitudinal sample collection from a 500-cows dairy herd.
DOI: 10.1002/anie.201208628
发表时间: 2013-02-18
影响因子: 16.6
作者:
Cramer, Rainer;Pirkl, Alexander;Hillenkamp, Franz;Dreisewerd, Klaus
通讯作者: Dreisewerd, Klaus
DOI: 10.1021/acsomega.9b01476
发表时间: 2019-07-01
期刊: ACS OMEGA
影响因子: 4.1
作者:
Hale, Oliver J.;Morris, Michael;Cramer, Rainer
通讯作者: Cramer, Rainer
DOI: 10.20506/rst.36.1.2623
发表时间: 2017-04-01
影响因子: 0.6
作者:
Hogeveen, H.;van der Voort, M.
通讯作者: van der Voort, M.
DOI: 10.1038/s41598-021-82846-5
发表时间: 2021-02-08
期刊: Scientific reports
影响因子: 4.6
作者:
Piras C;Hale OJ;Reynolds CK;Jones AK;Taylor N;Morris M;Cramer R
通讯作者: Cramer R
DOI: 10.1016/j.jim.2009.06.003
发表时间: 2009-08-15
影响因子: 2.2
作者:
Hoofnagle, Andrew N.;Wener, Mark H.
通讯作者: Wener, Mark H.