Department of Clinical Sciences in Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden.
Department of Clinical Sciences, Clinical Memory Research Unit, SciLifeLab, Lund University, Lund, Sweden.
Nat Commun. 2024 May 1;15(1):3676. doi: 10.1038/s41467-024-47971-5.
Cerebrospinal fluid (CSF) biomarkers reflect brain pathophysiology and are used extensively in translational research as well as in clinical practice for diagnosis of neurological diseases, e.g., Alzheimer's disease (AD). However, CSF biomarker concentrations may be influenced by non-disease related inter-individual variability. Here we use a data-driven approach to demonstrate the existence of inter-individual variability in mean standardized CSF protein levels. We show that these non-disease related differences cause many commonly reported CSF biomarkers to be highly correlated, thereby producing misleading results if not accounted for. To adjust for this inter-individual variability, we identified and evaluated high-performing reference proteins which improved the diagnostic accuracy of key CSF AD biomarkers. Our reference protein method attenuates the risk for false positive findings, and improves the sensitivity and specificity of CSF biomarkers, with broad implications for both research and clinical practice.
脑脊液(CSF)生物标志物反映了大脑的病理生理学,广泛应用于转化研究以及神经疾病的临床诊断,例如阿尔茨海默病(AD)。然而,CSF 生物标志物浓度可能受到与疾病无关的个体间差异的影响。在这里,我们使用数据驱动的方法来证明平均标准化 CSF 蛋白水平存在个体间差异。我们表明,这些与疾病无关的差异导致许多常见报道的 CSF 生物标志物高度相关,如果不加以考虑,就会产生误导性结果。为了调整这种个体间的差异,我们确定并评估了高性能的参考蛋白,这些蛋白提高了关键 CSF AD 生物标志物的诊断准确性。我们的参考蛋白方法降低了假阳性发现的风险,并提高了 CSF 生物标志物的敏感性和特异性,这对研究和临床实践都具有广泛的意义。