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通过机器学习重新思考肌痛性脑脊髓炎/慢性疲劳综合征的诊断参考区间,以及激活素B在定义症状严重程度方面的效用。

Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity.

作者信息

Lidbury Brett A, Kita Badia, Richardson Alice M, Lewis Donald P, Privitera Edwina, Hayward Susan, de Kretser David, Hedger Mark

机构信息

National Centre for Epidemiology and Population Health, RSPH, College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia.

Paranta Biosciences Limited, Suite 549, 1 Queens Rd, Melbourne, VIC 3004, Australia.

出版信息

Diagnostics (Basel). 2019 Jul 19;9(3):79. doi: 10.3390/diagnostics9030079.


DOI:10.3390/diagnostics9030079
PMID:31331036
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6787626/
Abstract

Biomarker discovery applied to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), a disabling disease of inconclusive aetiology, has identified several cytokines to potentially fulfil a role as a quantitative blood/serum marker for laboratory diagnosis, with activin B a recent addition. We explored further the potential of serum activin B as a ME/CFS biomarker, alone and in combination with a range of routine test results obtained from pathology laboratories. Previous pilot study results showed that activin B was significantly elevated for the ME/CFS participants compared to healthy (control) participants. All the participants were recruited via CFS Discovery and assessed via the Canadian/International Consensus Criteria. A significant difference for serum activin B was also detected for ME/CFS and control cohorts recruited for this study, but median levels were significantly lower for the ME/CFS cohort. Random Forest (RF) modelling identified five routine pathology blood test markers that collectively predicted ME/CFS at ≥62% when compared via weighted standing time (WST) severity classes. A closer analysis revealed that the inclusion of activin B to the panel of pathology markers improved the prediction of mild to moderate ME/CFS cases. Applying correct WST class prediction from RFA modelling, new reference intervals were calculated for activin B and associated pathology markers, where 24-h urinary creatinine clearance, serum urea and serum activin B showed the best potential as diagnostic markers. While the serum activin B results remained statistically significant for the new participant cohorts, activin B was found to also have utility in enhancing the prediction of symptom severity, as represented by WST class.

摘要

生物标志物发现应用于肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS),这是一种病因不明的致残性疾病,已确定几种细胞因子可能作为实验室诊断的定量血液/血清标志物发挥作用,激活素B是最近新增的一种。我们进一步探讨了血清激活素B作为ME/CFS生物标志物的潜力,单独以及与从病理实验室获得的一系列常规检测结果相结合的情况。先前的初步研究结果表明,与健康(对照)参与者相比,ME/CFS参与者的激活素B显著升高。所有参与者均通过CFS Discovery招募,并根据加拿大/国际共识标准进行评估。在本研究招募的ME/CFS和对照队列中,也检测到血清激活素B存在显著差异,但ME/CFS队列的中位数水平显著较低。随机森林(RF)建模确定了五个常规病理血液检测标志物,通过加权站立时间(WST)严重程度类别进行比较时,这些标志物共同预测ME/CFS的准确率≥62%。进一步分析发现,将激活素B纳入病理标志物组可改善对轻度至中度ME/CFS病例的预测。应用RFA建模得出的正确WST类别预测结果,计算了激活素B和相关病理标志物的新参考区间,其中24小时尿肌酐清除率、血清尿素和血清激活素B显示出作为诊断标志物的最佳潜力。虽然血清激活素B结果对新参与者队列仍具有统计学意义,但发现激活素B在增强对症状严重程度的预测方面也有作用,以WST类别表示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/cf693da674b8/diagnostics-09-00079-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/a2b636ae5b1f/diagnostics-09-00079-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/5721415caa38/diagnostics-09-00079-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/6d94f1887733/diagnostics-09-00079-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/df255fc69f21/diagnostics-09-00079-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/cf693da674b8/diagnostics-09-00079-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/a2b636ae5b1f/diagnostics-09-00079-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/5721415caa38/diagnostics-09-00079-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/6d94f1887733/diagnostics-09-00079-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/df255fc69f21/diagnostics-09-00079-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ac/6787626/cf693da674b8/diagnostics-09-00079-g005.jpg

相似文献

[1]
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[2]
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[3]
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[7]
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[2]
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[3]
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[5]
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[6]
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[7]
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[8]
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[9]
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本文引用的文献

[1]
Cellular Immune Function in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Front Immunol. 2019-4-16

[2]
Evidence of Clinical Pathology Abnormalities in People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) from an Analytic Cross-Sectional Study.

Diagnostics (Basel). 2019-4-10

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Pitfalls in cytokine measurements - Plasma TGF-β1 in chronic fatigue syndrome.

Neth J Med. 2018-9

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Weighting of orthostatic intolerance time measurements with standing difficulty score stratifies ME/CFS symptom severity and analyte detection.

J Transl Med. 2018-4-12

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Activin-A enhances mTOR signaling to promote aberrant chondrogenesis in fibrodysplasia ossificans progressiva.

J Clin Invest. 2017-9-1

[9]
Activin B is a novel biomarker for chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) diagnosis: a cross sectional study.

J Transl Med. 2017-3-16

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Immunometabolism and autoimmunity.

Immunol Cell Biol. 2016-11

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