# Peripheral and CSF protein quantification in Parkinson’s disease and multiple system atrophy—the nucleic acid-linked immuno-sandwich assay

**Authors:** Nirosen Vijiaratnam, Christine Girges, Arthur Mitchell, Dilan Athauda, Riona Fumi, Jennifer Hay, Nicola O’Reilly, Huw Morris, Camille Carroll, Michele T M Hu, Monty A Silverdale, Gordon Duncan, Amanda Heslegrave, Eliza Chai, Sonia Gandhi, Thomas Foltynie

PMC · DOI: 10.1093/braincomms/fcag035 · Brain Communications · 2026-02-04

## TL;DR

This study identifies potential blood and spinal fluid protein biomarkers for Parkinson’s disease and multiple system atrophy, offering new insights into disease mechanisms and progression.

## Contribution

The study introduces a novel application of the nucleic acid-linked immuno-sandwich assay to detect disease-specific protein patterns in peripheral and CSF samples.

## Key findings

- Oligomeric alpha-synuclein levels are significantly higher in Parkinson’s disease compared to controls.
- Inflammatory and metabolic proteins like interleukin-7 and TAFA-5 are associated with Parkinson’s disease diagnosis.
- Neurofilament light and phosphorylated alpha-synuclein distinguish multiple system atrophy from healthy controls and correlate with disease severity.

## Abstract

There are currently no validated peripheral biomarkers for the diagnosis, differentiation or progression of the neurodegenerative synucleinopathies, Parkinson’s disease and multiple system atrophy. Diagnostic biomarkers that reflect the disease mechanisms or progression biomarkers that change with disease severity would be extremely valuable for assessing disease-modifying therapies. Our objective was to explore putative protein biomarkers of Parkinson’s disease and multiple system atrophy, in relation to clinical disease severity, using the nucleic acid-linked immuno-sandwich assay central nervous system disease panel for biomarker quantification. We used the nucleic acid-linked immuno-sandwich assay CNS disease panel to test plasma from 161 Parkinson’s disease patients collected at three time points (0, 48, 96 weeks) and serum from 43 multiple system atrophy patients at three time points (0, 24, 48 weeks) and compared results to paired plasma and serum samples collected from (n = 39) age-matched healthy control individuals at a single time point. We also tested paired CSF samples collected on two occasions, separated by 96 weeks from a subgroup of Parkinson’s disease participants (n = 51) and after an interval of 48 weeks in a subgroup of multiple system atrophy participants (n = 23). All samples were taken contemporaneously with objective clinical assessments of disease severity. Biomarker comparisons were made across disease status and in relation to disease severity using linear modelling. Multiple proteins showed significantly different quantitative levels (false discovery rate-corrected P value < 0.05) between peripheral samples from Parkinson’s disease and healthy controls and multiple system atrophy and healthy controls. For Parkinson’s disease, we identified three key classes of proteins that showed significant differences between Parkinson’s disease and controls: (i) amyloidogenic proteins, specifically, oligomeric alpha-synuclein was significantly higher in Parkinson’s disease compared to controls. A number of other aggregating proteins also exhibited differences. (ii) Metabolic pathways, including the adipokine (chemokine-like protein TAFA-5), were associated with Parkinson’s disease diagnosis, and (iii) inflammatory pathways (interleukin-7) were associated with Parkinson’s disease diagnosis. Importantly, some of these same proteins were significantly associated with Parkinson’s disease severity including oligomeric and phosphorylated forms of alpha-synuclein and insulin-like growth factor-1 receptor. We also confirmed as expected that neurofilament light levels strongly distinguish multiple system atrophy patients from healthy controls, while also demonstrating that serum inflammatory proteins (interleukin-6) as well as the phosphorylated alpha-synuclein ratio are strongly associated with multiple system atrophy severity. These results from the nucleic acid-linked immuno-sandwich assay multiplex platform provide additional insights into the complex pathogenetic mechanisms associated with alpha-synucleinopathy related neurodegeneration. Individual protein levels or the combination of multiple protein candidates may usefully serve as diagnostic biomarkers, or as biomarkers for disease progression in trials of potential disease-modifying interventions.

Vijiaratnam et al. report the results of the nucleic acid-linked immuno-sandwich assay panel detecting changes in levels of multiple proteins between Parkinson’s disease, multiple system atrophy and healthy controls in peripheral samples and CSF, highlighting the relevance of protein aggregation, inflammation and metabolism in the pathogenesis of these diseases.

Graphical AbstractFor image description, please refer to the figure legend and surrounding text.

## Linked entities

- **Proteins:** TAFA5 (TAFA chemokine like family member 5), IL6 (interleukin 6)
- **Diseases:** Parkinson’s disease (MONDO:0005180), multiple system atrophy (MONDO:0007803)

## Full-text entities

- **Genes:** CALB2 (calbindin 2) [NCBI Gene 794] {aka CAB29, CAL2, CR}, APOE (apolipoprotein E) [NCBI Gene 348] {aka AD2, APO-E, ApoE4, LDLCQ5, LPG}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, GOT1 (glutamic-oxaloacetic transaminase 1) [NCBI Gene 2805] {aka AST, AST1, ASTQTL1, GIG18, SGOT, cAspAT}, ANXA5 (annexin A5) [NCBI Gene 308] {aka ANX5, CPB-I, ENX2, HEL-S-7, PP4, RPRGL3}, ANGPT2 (angiopoietin 2) [NCBI Gene 285] {aka AGPT2, ANG2, LMPHM10}, ENO2 (enolase 2) [NCBI Gene 2026] {aka HEL-S-279, NSE}, TPO (thyroid peroxidase) [NCBI Gene 7173] {aka MSA, TDH2A, TPX}, IL15 (interleukin 15) [NCBI Gene 3600] {aka IL-15}, CRH (corticotropin releasing hormone) [NCBI Gene 1392] {aka CRF, CRH1}, TREM1 (triggering receptor expressed on myeloid cells 1) [NCBI Gene 54210] {aka CD354, TREM-1}, SNCA (synuclein alpha) [NCBI Gene 6622] {aka NACP, PARK1, PARK4, PD1}, POSTN (periostin) [NCBI Gene 10631] {aka OSF-2, OSF2, PDLPOSTN, PN}, TEK (TEK receptor tyrosine kinase) [NCBI Gene 7010] {aka CD202B, GLC3E, TIE-2, TIE2, VMCM, VMCM1}, MAPT (microtubule associated protein tau) [NCBI Gene 4137] {aka DDPAC, FTD1, FTDP-17, MAPTL, MSTD, MTBT1}, CCL3 (C-C motif chemokine ligand 3) [NCBI Gene 6348] {aka G0S19-1, LD78, LD78ALPHA, MIP-1-alpha, MIP1A, SCI}, NEFL (neurofilament light chain) [NCBI Gene 4747] {aka CMT1F, CMT2E, CMTDIG, NF-L, NF68, NFL}, Il6 (interleukin 6) [NCBI Gene 16193] {aka Il-6}, IL18 (interleukin 18) [NCBI Gene 3606] {aka IGIF, IL-18, IL-1g, IL1F4}, PGK1 (phosphoglycerate kinase 1) [NCBI Gene 5230] {aka HEL-S-68p, MIG10, PGKA}, CCL26 (C-C motif chemokine ligand 26) [NCBI Gene 10344] {aka IMAC, MIP-4a, MIP-4alpha, SCYA26, TSC-1}, IL6R (interleukin 6 receptor) [NCBI Gene 3570] {aka CD126, HIES5, IL-1Ra, IL-6R, IL-6R-1, IL-6RA}, NEFH (neurofilament heavy chain) [NCBI Gene 4744] {aka CMT2CC, NFH}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, Ccl4 (C-C motif chemokine ligand 4) [NCBI Gene 20303] {aka AT744.1, Act-2, MIP-1B, Mip1b, Scya4}, PRKN (parkin RBR E3 ubiquitin protein ligase) [NCBI Gene 5071] {aka AR-JP, LPRS2, PARK2, PDJ}, APP (amyloid beta precursor protein) [NCBI Gene 351] {aka AAA, ABETA, ABPP, AD1, APPI, CTFgamma}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, CD63 (CD63 molecule) [NCBI Gene 967] {aka AD1, HOP-26, ME491, MLA1, OMA81H, Pltgp40}, Ccr5 (C-C motif chemokine receptor 5) [NCBI Gene 12774] {aka AM4-7, CD195, Cmkbr5}, CTSZ (cathepsin Z) [NCBI Gene 1522] {aka CTSX}, Ccl3 (C-C motif chemokine ligand 3) [NCBI Gene 20302] {aka G0S19-1, LD78alpha, MIP-1alpha, MIP1-(a), MIP1-alpha, Mip1a}, SNCB (synuclein beta) [NCBI Gene 6620], INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, GDI1 (GDP dissociation inhibitor 1) [NCBI Gene 2664] {aka 1A, GDIL, MRX41, MRX48, OPHN2, RABGD1A}, CCL22 (C-C motif chemokine ligand 22) [NCBI Gene 6367] {aka A-152E5.1, ABCD-1, DC/B-CK, MDC, SCYA22, STCP-1}, CNTN2 (contactin 2) [NCBI Gene 6900] {aka AXT, EPEO5, FAME5, TAG-1, TAX, TAX1}, NGF (nerve growth factor) [NCBI Gene 4803] {aka Beta-NGF, HSAN5, NGFB}, PINK1 (PTEN induced kinase 1) [NCBI Gene 65018] {aka BRPK, PARK6}, SPX (spexin hormone) [NCBI Gene 80763] {aka C12orf39, SPX1}, Crp (C-reactive protein, pentraxin-related) [NCBI Gene 12944], IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, IGF1 (insulin like growth factor 1) [NCBI Gene 3479] {aka IGF, IGF-I, IGFI, MGF}, UCHL1 (ubiquitin C-terminal hydrolase L1) [NCBI Gene 7345] {aka HEL-117, HEL-S-53, NDGOA, PARK5, PGP 9.5, PGP9.5}, TARDBP (TAR DNA binding protein) [NCBI Gene 23435] {aka ALS10, TDP-43}, TAFA5 (TAFA chemokine like family member 5) [NCBI Gene 25817] {aka FAM19A5, QLLK5208, TAFA-5, UNQ5208}, SMOC1 (SPARC related modular calcium binding 1) [NCBI Gene 64093] {aka OAS}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, LRRK2 (leucine rich repeat kinase 2) [NCBI Gene 120892] {aka AURA17, DARDARIN, PARK8, RIPK7, ROCO2}, FCN2 (ficolin 2) [NCBI Gene 2220] {aka EBP-37, FCNL, P35, ficolin-2}, IL7 (interleukin 7) [NCBI Gene 3574] {aka IL-7, IMD130}, ARSA (arylsulfatase A) [NCBI Gene 410] {aka ASA, MLD}, CCL17 (C-C motif chemokine ligand 17) [NCBI Gene 6361] {aka A-152E5.3, ABCD-2, SCYA17, TARC}, SQSTM1 (sequestosome 1) [NCBI Gene 8878] {aka A170, DMRV, EBIAP, FTDALS3, NADGP, OSIL}, PSEN1 (presenilin 1) [NCBI Gene 5663] {aka ACNINV3, AD3, CMD1U, FAD, PS-1, PS1}, MDH1 (malate dehydrogenase 1) [NCBI Gene 4190] {aka DEE88, EIEE88, HEL-S-32, KAR, MDH-s, MDHA}, CD40LG (CD40 ligand) [NCBI Gene 959] {aka CD154, CD40L, HIGM1, IGM, IMD3, T-BAM}, NRGN (neurogranin) [NCBI Gene 4900] {aka RC3, hng}, TREM2 (triggering receptor expressed on myeloid cells 2) [NCBI Gene 54209] {aka AD17, PLOSL2, TREM-2, Trem2a, Trem2b, Trem2c}
- **Diseases:** aggregation (MESH:D020914), autoimmune diseases (MESH:D001327), MSA-C (MESH:D019578), metabolic dysfunction (MESH:D008659), bladder outflow obstruction (MESH:D014694), chronic traumatic encephalopathy (MESH:D000070627), vascular and metabolism disorders (MESH:D024821), neurodegenerative (MESH:D019636), inflammation (MESH:D007249), Parkinson's (MESH:D010300), mitochondrial and (MESH:D028361), HC (MESH:D000067329), Huntington's disease (MESH:D006816), diabetes (MESH:D003920), cancer (MESH:D009369), brain atrophy (MESH:C566985), Alzheimer (MESH:D000544), corticobasal degeneration (MESH:D000088282), alpha-synucleinopathy (MESH:D000080874), DLB (MESH:D020961), CNS disease (MESH:D002493), Neuroinflammation (MESH:D000090862), lysosomal dysfunction (MESH:D016464), inflammatory bowel disease (MESH:D015212), depression (MESH:D003866), Type 2 diabetes (MESH:D003924), neuronal loss (MESH:D009410), Type 1 diabetesand (MESH:D003922), dementia (MESH:D003704), amyloid (MESH:C000718787), system (MESH:D015619), Lewy (MESH:D018827), parkinsonism (MESH:D010302), dopaminergic toxicity (MESH:D010523), synaptic disorders (MESH:C536122), Frontotemporal dementia (MESH:D057180), Movement Disorders (MESH:D009069), axonal damage (MESH:D001480), hypertension (MESH:D006973), PSP (MESH:D011030), proteinopathies (MESH:D057165), insulin resistance (MESH:D007333), toxicity (MESH:D064420)
- **Chemicals:** exenatide (MESH:D000077270), glutamate (MESH:D018698), GDP (MESH:D006153), blood glucose (MESH:D001786), GTP (MESH:D006160), polyglutamine (MESH:C097188), ATP (MESH:D000255), dopaminergic (MESH:D004298), Terazosin (MESH:C041226), calcium (MESH:D002118), L-dopa (MESH:D007980), amino (-)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Rattus norvegicus (brown rat, species) [taxon 10116], Homo sapiens (human, species) [taxon 9606]
- **Mutations:** G2019S

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12954390/full.md

## References

96 references — full list in the complete paper: https://tomesphere.com/paper/PMC12954390/full.md

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Source: https://tomesphere.com/paper/PMC12954390