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基于拉曼光谱和化学计量学的尿液中莱姆病患者相关多分子特征的检测。

Disease-Associated Multimolecular Signature in the Urine of Patients with Lyme Disease Detected Using Raman Spectroscopy and Chemometrics.

机构信息

Department of Biological Systems Engineering, 1757Virginia Tech, Blacksburg, Virginia, USA.

DialySensors Inc., Blacksburg, Virginia, USA.

出版信息

Appl Spectrosc. 2022 Mar;76(3):284-299. doi: 10.1177/00037028211061769. Epub 2022 Feb 1.

DOI:10.1177/00037028211061769
PMID:35102746
Abstract

A urine-based screening technique for Lyme disease (LD) was developed in this research. The screen is based on Raman spectroscopy, iterative smoothing-splines with root error adjustment (ISREA) spectral baselining, and chemometric analysis using Rametrix software. Raman spectra of urine from 30 patients with positive serologic tests (including the US Centers for Disease Control [CDC] two-tier standard) for LD were compared against subsets of our database of urine spectra from 235 healthy human volunteers, 362 end-stage kidney disease (ESKD) patients, and 17 patients with active or remissive bladder cancer (BCA). We found statistical differences ( < 0.001) between urine scans of healthy volunteers and LD-positive patients. We also found a unique LD molecular signature in urine involving 112 Raman shifts (31 major Raman shifts) with significant differences from urine of healthy individuals. We were able to distinguish the LD molecular signature as statistically different ( < 0.001) from the molecular signatures of ESKD and BCA. When comparing LD-positive patients against healthy volunteers, the Rametrix-based urine screen performed with 86.7% for overall accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), respectively. When considering patients with ESKD and BCA in the LD-negative group, these values were 88.7% (accuracy), 83.3% (sensitivity), 91.0% (specificity), 80.7% (PPV), and 92.4% (NPV). Additional advantages to the Raman-based urine screen include that it is rapid (minutes per analysis), is minimally invasive, requires no chemical labeling, uses a low-profile, off-the-shelf spectrometer, and is inexpensive relative to other available LD tests.

摘要

本研究开发了一种基于尿液的莱姆病(LD)筛查技术。该筛查基于拉曼光谱、带根误差调整的迭代平滑样条(ISREA)光谱基线校正和使用 Rametrix 软件的化学计量分析。将 30 例血清学检测阳性(包括美国疾病控制与预防中心[CDC]的两步标准)的 LD 患者的尿液拉曼光谱与我们数据库中 235 例健康志愿者、362 例终末期肾病(ESKD)患者和 17 例膀胱癌(BCA)患者尿液光谱的亚组进行比较。我们发现健康志愿者和 LD 阳性患者的尿液扫描之间存在统计学差异(<0.001)。我们还在尿液中发现了一种独特的 LD 分子特征,涉及 112 个拉曼位移(31 个主要拉曼位移),与健康个体的尿液有显著差异。我们能够区分 LD 分子特征,与 ESKD 和 BCA 的分子特征有统计学差异(<0.001)。当将 LD 阳性患者与健康志愿者进行比较时,基于 Rametrix 的尿液筛查的总体准确性、敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)分别为 86.7%、83.3%、91.0%、80.7%和 92.4%。当将 ESKD 和 BCA 患者纳入 LD 阴性组时,这些值分别为 88.7%(准确性)、83.3%(敏感性)、91.0%(特异性)、80.7%(PPV)和 92.4%(NPV)。基于拉曼的尿液筛查的其他优点包括快速(每分钟分析一次)、微创、无需化学标记、使用低轮廓的现成光谱仪,并且相对其他可用的 LD 测试成本低廉。

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Perspective: Raman spectroscopy for detection and management of diseases affecting the nervous system.观点:用于检测和管理影响神经系统疾病的拉曼光谱学。
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Cancer detection in dogs using rapid Raman molecular urinalysis.
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Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges.当前拉曼光谱技术在临床环境中的应用趋势:机遇与挑战。
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Lyme borreliosis diagnosis: state of the art of improvements and innovations.莱姆病诊断:改进和创新的最新进展。
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