Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins

Abstract The challenge of early detection and stratification in Parkinson’s disease (PD) is urgent due to the current emergence of mechanism-based disease-modifying treatments. In here, metabolomic and lipidomic parameters obtained by a standardized and targeted in vitro diagnostic research (IVDr) p...

Full description

Saved in:
Bibliographic Details
Main Authors: Georgy Berezhnoy, Gyuntae Bae, Leonie Wüst, Claudia Schulte, Claire Cannet, Isabel Wurster, Milan Zimmermann, Alexander Jäck, Eike Jakob Spruth, Julian Hellmann-Regen, Sandra Roeske, Dominik Pürner, Wenzel Glanz, Fabian Maass, Felix Hufschmidt, Ingo Kilimann, Elisabeth Dinter, Okka Kimmich, Anna Gamez, Johannes Levin, Josef Priller, Oliver Peters, Michael Wagner, Alexander Storch, Paul Lingor, Emrah Düzel, Christoph van Riesen, Ullrich Wüllner, Stefan Teipel, Björn Falkenburger, Mathias Bähr, Inga Zerr, Gabor C. Petzold, Annika Spottke, Patricia Rizzu, Frederic Brosseron, Hartmut Schäfer, Thomas Gasser, Christoph Trautwein
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-01352-0
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850124454496043008
author Georgy Berezhnoy
Gyuntae Bae
Leonie Wüst
Claudia Schulte
Claire Cannet
Isabel Wurster
Milan Zimmermann
Alexander Jäck
Eike Jakob Spruth
Julian Hellmann-Regen
Sandra Roeske
Dominik Pürner
Wenzel Glanz
Fabian Maass
Felix Hufschmidt
Ingo Kilimann
Elisabeth Dinter
Okka Kimmich
Anna Gamez
Johannes Levin
Josef Priller
Oliver Peters
Michael Wagner
Alexander Storch
Paul Lingor
Emrah Düzel
Christoph van Riesen
Ullrich Wüllner
Stefan Teipel
Björn Falkenburger
Mathias Bähr
Inga Zerr
Gabor C. Petzold
Annika Spottke
Patricia Rizzu
Frederic Brosseron
Hartmut Schäfer
Thomas Gasser
Christoph Trautwein
author_facet Georgy Berezhnoy
Gyuntae Bae
Leonie Wüst
Claudia Schulte
Claire Cannet
Isabel Wurster
Milan Zimmermann
Alexander Jäck
Eike Jakob Spruth
Julian Hellmann-Regen
Sandra Roeske
Dominik Pürner
Wenzel Glanz
Fabian Maass
Felix Hufschmidt
Ingo Kilimann
Elisabeth Dinter
Okka Kimmich
Anna Gamez
Johannes Levin
Josef Priller
Oliver Peters
Michael Wagner
Alexander Storch
Paul Lingor
Emrah Düzel
Christoph van Riesen
Ullrich Wüllner
Stefan Teipel
Björn Falkenburger
Mathias Bähr
Inga Zerr
Gabor C. Petzold
Annika Spottke
Patricia Rizzu
Frederic Brosseron
Hartmut Schäfer
Thomas Gasser
Christoph Trautwein
author_sort Georgy Berezhnoy
collection DOAJ
description Abstract The challenge of early detection and stratification in Parkinson’s disease (PD) is urgent due to the current emergence of mechanism-based disease-modifying treatments. In here, metabolomic and lipidomic parameters obtained by a standardized and targeted in vitro diagnostic research (IVDr) platform have a significant potential to address therapy-related questions and generate improved biomarker panels. Our study aimed to use IVDr nuclear magnetic resonance (NMR) spectroscopy to quantify metabolites and lipoproteins in PD blood serum from different cohorts to stratify metabolically driven subtypes of idiopathic and genetic PD. Serum aliquots from three neurodegeneration biobank cohorts (287 samples in total, including 62 PD patient samples with GBA mutation, 98/43 PD patient samples of early/late stages of disease duration, 20 PD samples from patients with mutations in recessive PD genes and some smaller subgroups of mitochondrial and double mutation cases) were prepared and analyzed with IVDr NMR spectroscopy, covering 39 blood serum metabolites and 112 lipoprotein parameters. Uni- and multivariate statistics were used to identify metabolism-driven changes under consideration of typical confounders such as age, sex and disease duration and set into context with clinical biomarkers such as CSF concentrations of alpha-synuclein, neurofilament light chain, and tau protein. Based on the different PD subgroups we performed a total of eight different comparisons. Highlights from these comparisons include increased citrate and dimethylglycine with a decrease of creatinine and methionine in healthy controls and early PD group compared to GBA, PD late and recessive PD. We furthermore identified decreased HDL-3 free cholesterol in genetic PD cases compared to sporadic subject samples (sum of the PD early and PD late groups). Considering medication, we found that the levodopa equivalent daily dose (LEDD) is mostly positively correlated with tyrosine and citrate in sporadic PD compared to pyruvate and phenylalanine in genetic PD. Cerebrospinal fluid levels of alpha-synuclein were negatively correlated with alanine. Further metabolites and lipoproteins with discriminatory power for double mutation PD cases involved ornithine, 2-aminobutyrate and 2-hydroxybutyrate as well as for mitochondrial phenotypes via LDL phospholipid, apolipoprotein and cholesterol subfractions. Quantitative IVDr NMR serum spectroscopy is able to stratify PD patient samples of different etiology and can contribute to a wider understanding of the underlying metabolism-driven alterations e.g. in energy, amino acid, and lipoprotein metabolism. Though our overall cohort was large, major confounders such as age, sex and medication have a strong impact. That is why absolute quantification and detailed patient knowledge about metabolic confounders, is a premise for future translation of NMR serum spectroscopy to routine PD diagnostics.
format Article
id doaj-art-090a91ccf0504f0f98c10d62617fca73
institution OA Journals
issn 2045-2322
language English
publishDate 2025-05-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-090a91ccf0504f0f98c10d62617fca732025-08-20T02:34:17ZengNature PortfolioScientific Reports2045-23222025-05-0115112010.1038/s41598-025-01352-0Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteinsGeorgy Berezhnoy0Gyuntae Bae1Leonie Wüst2Claudia Schulte3Claire Cannet4Isabel Wurster5Milan Zimmermann6Alexander Jäck7Eike Jakob Spruth8Julian Hellmann-Regen9Sandra Roeske10Dominik Pürner11Wenzel Glanz12Fabian Maass13Felix Hufschmidt14Ingo Kilimann15Elisabeth Dinter16Okka Kimmich17Anna Gamez18Johannes Levin19Josef Priller20Oliver Peters21Michael Wagner22Alexander Storch23Paul Lingor24Emrah Düzel25Christoph van Riesen26Ullrich Wüllner27Stefan Teipel28Björn Falkenburger29Mathias Bähr30Inga Zerr31Gabor C. Petzold32Annika Spottke33Patricia Rizzu34Frederic Brosseron35Hartmut Schäfer36Thomas Gasser37Christoph Trautwein38Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of TübingenWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of TübingenWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of TübingenHertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of TübingenBruker BioSpin GmbH & Co. KG (AIC Division)Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of TübingenHertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of TübingenGerman Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)Department of Neurology, School of Medicine, University Hospital München rechts der Isar, Technical University of MunichGerman Center for Neurodegenerative Diseases (DZNE)Department of Neurology, University Medical Center, Georg August UniversityGerman Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)Department of Neurology, University Medical Center, Georg August UniversityGerman Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)Department of Neurology, University Medical Center, Georg August UniversityDepartment of Neurology, University Medical Center, Georg August UniversityGerman Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)German Center for Neurodegenerative Diseases (DZNE)Bruker BioSpin GmbH & Co. KG (AIC Division)Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of TübingenWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of TübingenAbstract The challenge of early detection and stratification in Parkinson’s disease (PD) is urgent due to the current emergence of mechanism-based disease-modifying treatments. In here, metabolomic and lipidomic parameters obtained by a standardized and targeted in vitro diagnostic research (IVDr) platform have a significant potential to address therapy-related questions and generate improved biomarker panels. Our study aimed to use IVDr nuclear magnetic resonance (NMR) spectroscopy to quantify metabolites and lipoproteins in PD blood serum from different cohorts to stratify metabolically driven subtypes of idiopathic and genetic PD. Serum aliquots from three neurodegeneration biobank cohorts (287 samples in total, including 62 PD patient samples with GBA mutation, 98/43 PD patient samples of early/late stages of disease duration, 20 PD samples from patients with mutations in recessive PD genes and some smaller subgroups of mitochondrial and double mutation cases) were prepared and analyzed with IVDr NMR spectroscopy, covering 39 blood serum metabolites and 112 lipoprotein parameters. Uni- and multivariate statistics were used to identify metabolism-driven changes under consideration of typical confounders such as age, sex and disease duration and set into context with clinical biomarkers such as CSF concentrations of alpha-synuclein, neurofilament light chain, and tau protein. Based on the different PD subgroups we performed a total of eight different comparisons. Highlights from these comparisons include increased citrate and dimethylglycine with a decrease of creatinine and methionine in healthy controls and early PD group compared to GBA, PD late and recessive PD. We furthermore identified decreased HDL-3 free cholesterol in genetic PD cases compared to sporadic subject samples (sum of the PD early and PD late groups). Considering medication, we found that the levodopa equivalent daily dose (LEDD) is mostly positively correlated with tyrosine and citrate in sporadic PD compared to pyruvate and phenylalanine in genetic PD. Cerebrospinal fluid levels of alpha-synuclein were negatively correlated with alanine. Further metabolites and lipoproteins with discriminatory power for double mutation PD cases involved ornithine, 2-aminobutyrate and 2-hydroxybutyrate as well as for mitochondrial phenotypes via LDL phospholipid, apolipoprotein and cholesterol subfractions. Quantitative IVDr NMR serum spectroscopy is able to stratify PD patient samples of different etiology and can contribute to a wider understanding of the underlying metabolism-driven alterations e.g. in energy, amino acid, and lipoprotein metabolism. Though our overall cohort was large, major confounders such as age, sex and medication have a strong impact. That is why absolute quantification and detailed patient knowledge about metabolic confounders, is a premise for future translation of NMR serum spectroscopy to routine PD diagnostics.https://doi.org/10.1038/s41598-025-01352-0Parkinson’s diseaseGBARecessive inheritanceBloodDementiaBiomarkers
spellingShingle Georgy Berezhnoy
Gyuntae Bae
Leonie Wüst
Claudia Schulte
Claire Cannet
Isabel Wurster
Milan Zimmermann
Alexander Jäck
Eike Jakob Spruth
Julian Hellmann-Regen
Sandra Roeske
Dominik Pürner
Wenzel Glanz
Fabian Maass
Felix Hufschmidt
Ingo Kilimann
Elisabeth Dinter
Okka Kimmich
Anna Gamez
Johannes Levin
Josef Priller
Oliver Peters
Michael Wagner
Alexander Storch
Paul Lingor
Emrah Düzel
Christoph van Riesen
Ullrich Wüllner
Stefan Teipel
Björn Falkenburger
Mathias Bähr
Inga Zerr
Gabor C. Petzold
Annika Spottke
Patricia Rizzu
Frederic Brosseron
Hartmut Schäfer
Thomas Gasser
Christoph Trautwein
Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins
Scientific Reports
Parkinson’s disease
GBA
Recessive inheritance
Blood
Dementia
Biomarkers
title Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins
title_full Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins
title_fullStr Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins
title_full_unstemmed Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins
title_short Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins
title_sort application of ivdr nmr spectroscopy to stratify parkinson s disease with absolute quantitation of blood serum metabolites and lipoproteins
topic Parkinson’s disease
GBA
Recessive inheritance
Blood
Dementia
Biomarkers
url https://doi.org/10.1038/s41598-025-01352-0
work_keys_str_mv AT georgyberezhnoy applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT gyuntaebae applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT leoniewust applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT claudiaschulte applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT clairecannet applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT isabelwurster applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT milanzimmermann applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT alexanderjack applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT eikejakobspruth applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT julianhellmannregen applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT sandraroeske applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT dominikpurner applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT wenzelglanz applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT fabianmaass applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT felixhufschmidt applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT ingokilimann applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT elisabethdinter applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT okkakimmich applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT annagamez applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT johanneslevin applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT josefpriller applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT oliverpeters applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT michaelwagner applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT alexanderstorch applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT paullingor applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT emrahduzel applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT christophvanriesen applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT ullrichwullner applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT stefanteipel applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT bjornfalkenburger applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT mathiasbahr applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT ingazerr applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT gaborcpetzold applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT annikaspottke applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT patriciarizzu applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT fredericbrosseron applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT hartmutschafer applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT thomasgasser applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins
AT christophtrautwein applicationofivdrnmrspectroscopytostratifyparkinsonsdiseasewithabsolutequantitationofbloodserummetabolitesandlipoproteins