Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory

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Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory. / Moulder, Robert; Välikangas, Tommi; Hirvonen, M. Karoliina; Suomi, Tomi; Brorsson, Caroline A.; Lietzén, Niina; Bruggraber, Sylvaine F.A.; Overbergh, Lut; Dunger, David B.; Peakman, Mark; Chmura, Piotr J.; Brunak, Soren; Schulte, Anke M.; Mathieu, Chantal; Knip, Mikael; Elo, Laura L.; Lahesmaa, Riitta; on behalf of the INNODIA consortium.

In: Diabetologia, Vol. 66, 2023, p. 1983-1996.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Moulder, R, Välikangas, T, Hirvonen, MK, Suomi, T, Brorsson, CA, Lietzén, N, Bruggraber, SFA, Overbergh, L, Dunger, DB, Peakman, M, Chmura, PJ, Brunak, S, Schulte, AM, Mathieu, C, Knip, M, Elo, LL, Lahesmaa, R & on behalf of the INNODIA consortium 2023, 'Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory', Diabetologia, vol. 66, pp. 1983-1996. https://doi.org/10.1007/s00125-023-05974-9

APA

Moulder, R., Välikangas, T., Hirvonen, M. K., Suomi, T., Brorsson, C. A., Lietzén, N., Bruggraber, S. F. A., Overbergh, L., Dunger, D. B., Peakman, M., Chmura, P. J., Brunak, S., Schulte, A. M., Mathieu, C., Knip, M., Elo, L. L., Lahesmaa, R., & on behalf of the INNODIA consortium (2023). Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory. Diabetologia, 66, 1983-1996. https://doi.org/10.1007/s00125-023-05974-9

Vancouver

Moulder R, Välikangas T, Hirvonen MK, Suomi T, Brorsson CA, Lietzén N et al. Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory. Diabetologia. 2023;66:1983-1996. https://doi.org/10.1007/s00125-023-05974-9

Author

Moulder, Robert ; Välikangas, Tommi ; Hirvonen, M. Karoliina ; Suomi, Tomi ; Brorsson, Caroline A. ; Lietzén, Niina ; Bruggraber, Sylvaine F.A. ; Overbergh, Lut ; Dunger, David B. ; Peakman, Mark ; Chmura, Piotr J. ; Brunak, Soren ; Schulte, Anke M. ; Mathieu, Chantal ; Knip, Mikael ; Elo, Laura L. ; Lahesmaa, Riitta ; on behalf of the INNODIA consortium. / Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory. In: Diabetologia. 2023 ; Vol. 66. pp. 1983-1996.

Bibtex

@article{fcb6fa6262e040bd834edd5740b59022,
title = "Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory",
abstract = "Aims/hypothesis: There is a growing need for markers that could help indicate the decline in beta cell function and recognise the need and efficacy of intervention in type 1 diabetes. Measurements of suitably selected serum markers could potentially provide a non-invasive and easily applicable solution to this challenge. Accordingly, we evaluated a broad panel of proteins previously associated with type 1 diabetes in serum from newly diagnosed individuals during the first year from diagnosis. To uncover associations with beta cell function, comparisons were made between these targeted proteomics measurements and changes in fasting C-peptide levels. To further distinguish proteins linked with the disease status, comparisons were made with measurements of the protein targets in age- and sex-matched autoantibody-negative unaffected family members (UFMs). Methods: Selected reaction monitoring (SRM) mass spectrometry analyses of serum, targeting 85 type 1 diabetes-associated proteins, were made. Sera from individuals diagnosed under 18 years (n=86) were drawn within 6 weeks of diagnosis and at 3, 6 and 12 months afterwards (288 samples in total). The SRM data were compared with fasting C-peptide/glucose data, which was interpreted as a measure of beta cell function. The protein data were further compared with cross-sectional SRM measurements from UFMs (n=194). Results: Eleven proteins had statistically significant associations with fasting C-peptide/glucose. Of these, apolipoprotein L1 and glutathione peroxidase 3 (GPX3) displayed the strongest positive and inverse associations, respectively. Changes in GPX3 levels during the first year after diagnosis indicated future fasting C-peptide/glucose levels. In addition, differences in the levels of 13 proteins were observed between the individuals with type 1 diabetes and the matched UFMs. These included GPX3, transthyretin, prothrombin, apolipoprotein C1 and members of the IGF family. Conclusions/interpretation: The association of several targeted proteins with fasting C-peptide/glucose levels in the first year after diagnosis suggests their connection with the underlying changes accompanying alterations in beta cell function in type 1 diabetes. Moreover, the direction of change in GPX3 during the first year was indicative of subsequent fasting C-peptide/glucose levels, and supports further investigation of this and other serum protein measurements in future studies of beta cell function in type 1 diabetes. Graphical Abstract: [Figure not available: see fulltext.]",
keywords = "C-peptide, Glutathione peroxidase 3, Serum proteomics, Type 1 diabetes",
author = "Robert Moulder and Tommi V{\"a}likangas and Hirvonen, {M. Karoliina} and Tomi Suomi and Brorsson, {Caroline A.} and Niina Lietz{\'e}n and Bruggraber, {Sylvaine F.A.} and Lut Overbergh and Dunger, {David B.} and Mark Peakman and Chmura, {Piotr J.} and Soren Brunak and Schulte, {Anke M.} and Chantal Mathieu and Mikael Knip and Elo, {Laura L.} and Riitta Lahesmaa and {on behalf of the INNODIA consortium}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
doi = "10.1007/s00125-023-05974-9",
language = "English",
volume = "66",
pages = "1983--1996",
journal = "Diabetologia",
issn = "0012-186X",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory

AU - Moulder, Robert

AU - Välikangas, Tommi

AU - Hirvonen, M. Karoliina

AU - Suomi, Tomi

AU - Brorsson, Caroline A.

AU - Lietzén, Niina

AU - Bruggraber, Sylvaine F.A.

AU - Overbergh, Lut

AU - Dunger, David B.

AU - Peakman, Mark

AU - Chmura, Piotr J.

AU - Brunak, Soren

AU - Schulte, Anke M.

AU - Mathieu, Chantal

AU - Knip, Mikael

AU - Elo, Laura L.

AU - Lahesmaa, Riitta

AU - on behalf of the INNODIA consortium

N1 - Publisher Copyright: © 2023, The Author(s).

PY - 2023

Y1 - 2023

N2 - Aims/hypothesis: There is a growing need for markers that could help indicate the decline in beta cell function and recognise the need and efficacy of intervention in type 1 diabetes. Measurements of suitably selected serum markers could potentially provide a non-invasive and easily applicable solution to this challenge. Accordingly, we evaluated a broad panel of proteins previously associated with type 1 diabetes in serum from newly diagnosed individuals during the first year from diagnosis. To uncover associations with beta cell function, comparisons were made between these targeted proteomics measurements and changes in fasting C-peptide levels. To further distinguish proteins linked with the disease status, comparisons were made with measurements of the protein targets in age- and sex-matched autoantibody-negative unaffected family members (UFMs). Methods: Selected reaction monitoring (SRM) mass spectrometry analyses of serum, targeting 85 type 1 diabetes-associated proteins, were made. Sera from individuals diagnosed under 18 years (n=86) were drawn within 6 weeks of diagnosis and at 3, 6 and 12 months afterwards (288 samples in total). The SRM data were compared with fasting C-peptide/glucose data, which was interpreted as a measure of beta cell function. The protein data were further compared with cross-sectional SRM measurements from UFMs (n=194). Results: Eleven proteins had statistically significant associations with fasting C-peptide/glucose. Of these, apolipoprotein L1 and glutathione peroxidase 3 (GPX3) displayed the strongest positive and inverse associations, respectively. Changes in GPX3 levels during the first year after diagnosis indicated future fasting C-peptide/glucose levels. In addition, differences in the levels of 13 proteins were observed between the individuals with type 1 diabetes and the matched UFMs. These included GPX3, transthyretin, prothrombin, apolipoprotein C1 and members of the IGF family. Conclusions/interpretation: The association of several targeted proteins with fasting C-peptide/glucose levels in the first year after diagnosis suggests their connection with the underlying changes accompanying alterations in beta cell function in type 1 diabetes. Moreover, the direction of change in GPX3 during the first year was indicative of subsequent fasting C-peptide/glucose levels, and supports further investigation of this and other serum protein measurements in future studies of beta cell function in type 1 diabetes. Graphical Abstract: [Figure not available: see fulltext.]

AB - Aims/hypothesis: There is a growing need for markers that could help indicate the decline in beta cell function and recognise the need and efficacy of intervention in type 1 diabetes. Measurements of suitably selected serum markers could potentially provide a non-invasive and easily applicable solution to this challenge. Accordingly, we evaluated a broad panel of proteins previously associated with type 1 diabetes in serum from newly diagnosed individuals during the first year from diagnosis. To uncover associations with beta cell function, comparisons were made between these targeted proteomics measurements and changes in fasting C-peptide levels. To further distinguish proteins linked with the disease status, comparisons were made with measurements of the protein targets in age- and sex-matched autoantibody-negative unaffected family members (UFMs). Methods: Selected reaction monitoring (SRM) mass spectrometry analyses of serum, targeting 85 type 1 diabetes-associated proteins, were made. Sera from individuals diagnosed under 18 years (n=86) were drawn within 6 weeks of diagnosis and at 3, 6 and 12 months afterwards (288 samples in total). The SRM data were compared with fasting C-peptide/glucose data, which was interpreted as a measure of beta cell function. The protein data were further compared with cross-sectional SRM measurements from UFMs (n=194). Results: Eleven proteins had statistically significant associations with fasting C-peptide/glucose. Of these, apolipoprotein L1 and glutathione peroxidase 3 (GPX3) displayed the strongest positive and inverse associations, respectively. Changes in GPX3 levels during the first year after diagnosis indicated future fasting C-peptide/glucose levels. In addition, differences in the levels of 13 proteins were observed between the individuals with type 1 diabetes and the matched UFMs. These included GPX3, transthyretin, prothrombin, apolipoprotein C1 and members of the IGF family. Conclusions/interpretation: The association of several targeted proteins with fasting C-peptide/glucose levels in the first year after diagnosis suggests their connection with the underlying changes accompanying alterations in beta cell function in type 1 diabetes. Moreover, the direction of change in GPX3 during the first year was indicative of subsequent fasting C-peptide/glucose levels, and supports further investigation of this and other serum protein measurements in future studies of beta cell function in type 1 diabetes. Graphical Abstract: [Figure not available: see fulltext.]

KW - C-peptide

KW - Glutathione peroxidase 3

KW - Serum proteomics

KW - Type 1 diabetes

U2 - 10.1007/s00125-023-05974-9

DO - 10.1007/s00125-023-05974-9

M3 - Journal article

C2 - 37537394

AN - SCOPUS:85166748672

VL - 66

SP - 1983

EP - 1996

JO - Diabetologia

JF - Diabetologia

SN - 0012-186X

ER -

ID: 363266538