2026-06-03T03:14:26Z https://api.figshare.com/v2/oai
oai:figshare.com:article/29389949 2025-11-11T12:33:17Z category_24136 category_24160 category_24208 category_24196 category_24205 category_24481 category_24634 category_24655 category_24748 category_24871 category_26338 category_26287 category_29755 category_29872 portal_549 item_type_3 month_year_11_2025
10.5522/04/29389949.v1 https://figshare.com/articles/dataset/Dataset_for_Partial_Parallelism_Plot_Analysis_in_Neurodegeneration_Biomarker_Assays_2010_2024_/29389949 https://ndownloader.figshare.com/files/55641545 https://ndownloader.figshare.com/files/59462132 10.1080/10408363.2025.2583078 Petzold, Axel Axel Petzold 0000-0002-0344-9749 <![CDATA[Dataset for Partial Parallelism Plot Analysis in Neurodegeneration Biomarker Assays (2010–2024)]]> Analytical biochemistry Proteomics and intermolecular interactions (excl. medical proteomics) Bioinformatics and computational biology not elsewhere classified Proteomics and metabolomics Translational and applied bioinformatics Clinical chemistry (incl. diagnostics) Immunology not elsewhere classified Medical biochemistry - proteins and peptides (incl. medical proteomics) Neurosciences not elsewhere classified Pharmacology and pharmaceutical sciences not elsewhere classified Chemical engineering not elsewhere classified Medical devices Biological mathematics Biostatistics biomarker assessment biomarker analysis methods analytical and numerical solutions Visual statistics Regulatory authority 2025-11-11 2025-11-11 Dataset 2025 University College London Dataset Description

This dataset accompanies the systematic review “Parallelism in Neurodegenerative Biomarker Tests: Hidden Errors and the Risk of Misconduct.”
It contains the curated dilutional data used to generate 49 standardized partial parallelism plots across key biomarker assays for Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis (ALS), and related neurodegenerative conditions.


The dataset includes raw and processed dilution curves for major biomarkers such as: Amyloid fragments, A-beta 1-40, A-beta 1-42, A-beta oligomers, alpha-synuclein, DJ-1, total tau protein (Tau), phospho tau proteins (pTau181, pTau217, pTau231), Apolipoprotein E (ApoE) isoforms E2, E3, E4, neurofilament light chain (NfL), neurofilament heavy chain (NfH), glial fibrillary acidic protein (GFAP), and poly(GP).

Each dataset entry is annotated with:

  • Sample type (serum, plasma, cerebrospinal fluid)
  • Assay platform and dilution steps
  • Classification of outcome (partial parallelism achieved or not)

Use cases:
This dataset is designed to help researchers, assay developers, and meta-analysts to:

  • Reproduce figures and analyses from the published review
  • Benchmark or validate new assay performance pipelines
  • Train algorithms for automated detection of dilutional non-parallelism

Files included:

  • .csv files containing dilution–response data
  • Metadata spreadsheets with assay and sample annotations

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