Dementia Patient Antibody and Gene Expression Data for Immune Biomarker Research

A study by Elena Rita Simula investigates immune responses to asparaginase-like protein 1 and human endogenous retroviruses in dementia patients. Plasma and peripheral blood mononuclear cells were analyzed via ELISA and qPCR to measure antibody reactivity and peripheral gene expression. The dataset links humoral immune responses with gene dysregulation in conditions like Alzheimer's disease, mild cognitive impairment, and mixed dementia.

Use Cases

• Analyze antibody reactivity against asparaginase-like protein 1 and its inverse correlation with transcript levels in dementia patients.
• Model the positive correlation between antibody responses to human endogenous retroviruses and their residual gene expression.
• Identify shared immune pathways by examining interrelations between immune and transcriptional measures targeting these molecules.
• Explore immune-based biomarkers for neurodegenerative processes using combined humoral immune and peripheral gene expression data.

Strengths

• Data includes multiple immune and gene expression measures (antibody reactivity and transcript levels) for two distinct molecular targets.
• Study provides novel findings on coordinated humoral immune and peripheral gene expression relationships in dementia.
• Dataset is licensed under CC BY 4.0 for open reuse and redistribution.

Limitations

• Dataset size is small at 3.1 MB, suggesting a limited sample size or number of observations.
• Data is contained in a DOCX file, requiring extraction and preprocessing for structured analysis.
• Specific row counts, column names, and sample data are unavailable, limiting immediate analytical assessment.

Provenance

Source

Elena Rita Simula via figshare.

Collection Method

Plasma and PBMCs collected from dementia patients; antibody reactivity assayed by ELISA, gene expression quantified by qPCR.

Time Range

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Freshness

Last updated March 25, 2026.

Geography

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