ArticleScientific reports2018
On detection of periodicity in C-reactive protein (CRP) levels.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Assessing the Impact of Serum Per- and Polyfluoroalkyl Substance Concentrations on Immune Function in an Industrialized Region of China.Environment & health (Washington, D.C.) · 2025Article
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- Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures.PNAS nexus · 2022Article
- The development of tumour vascular networks.Communications biology · 2021Article
- Article
- Detection of C-Reactive Protein Using Histag-HRP Functionalized Nanoconjugate with Signal Amplified Immunoassay.Nanomaterials (Basel, Switzerland) · 2020Article
- Selective single-molecule analytical detection of C-reactive protein in saliva with an organic transistor.Analytical and bioanalytical chemistry · 2019Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
C-reactive protein (CRP) is an acute-phase plasma protein that can be used as a biomarker for activation of the immune system. A spectral analysis of CRP level over time for patients with gynaecological tumours has been reported by Madondo et al., using a periodogram method, suggesting that there is no significant periodicity in the data. In our study, we investigate the impact of low sample number on periodogram analysis, for non-uniform sampling intervals-we conclude that data of Madondo et al. cannot rule out periodic behaviour. The search for patterns (periodic or otherwise) in the CRP time-series is of interest for providing a cue for the optimal times at which cancer therapies are best administered. In this paper we show (i) there is no evidence to rule out periodicity in CRP levels, and (ii) we provide a prescription for the minimum data sample rate required in future experiments for improved testing of a periodic CRP signal hypothesis. The analysis we provide may be used for establishing periodicity in any short time-series signal that is observed without a priori information.
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