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Table 1 Characteristic features of the eligible proteomic studies

From: Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response

References

Study group

Control group

Sample type

Discovery method

Validation method

Number of Proteins Identified by Disease Progression

Clinical definition

(Disease condition and sample size)

Demographics

(Age and sex, location/ ethnicity)

Clinical definition

(Disease condition and sample size)

Demographics

(Age and sex, location/ethnicity)

Pre-seroconversion

 Moulder et al. 2015, Diabetes

HLA + , autoantibody + . n = 19

Age (3 m to 12y), Finland (DIPP)

HLA + ., autoantibody-, controls, n = 19

Age, sex, sample periodicity, and risk group matched

Serum

2DLC-MS/MS (Untargeted proteomics)

NA

Pre-seroconversion: 3 (1, 2)

Post-seroconversion Longitudinal: 55 (31, 24)

Post-seroconversion: 10 (5, 5)

 Frohnert et al. 2020, Diabetes

Family history of T1D, HLA + , autoantibody + . n = 20, T1D n = 22,

age (AbPos-0.7–26.5y, T1D- 0.7-15y), and sex (AbPos-8F/12 M &

T1D-10F/12 M), Ethnicity (AbPos-15NHW/5RND, T1D-21NHW/1RND), US

(DAISY cohort)

HLA + ., autoantibody-

controls n = 25

Matched to HLA genotype, age (0.7-23y), sex (13F/12 M), Ethinicity (20NHW/5RND), US. (DAISY cohort)

Serum

LC-SRM-MS, (Targeted proteomics)

NA

Pre-seroconversion: 3 (2, 1)

Post-seroconversion: 2 (1, 1)

 Webb-Robertson et al. 2023, medRxiv

HLA + 

Pre-seroconversion. n = 47, Post-seroconversion. n = 131,

Pre T1D n = 70,

Age (Post-seroconversion ~ 1-23y, pre-T1D ~ 0-29y), Sex: (Pre-seroconversion-19F/28 M, Post-serconversion.- 63F/68 M & pre-T1D –31F/39 M), US

(DAISY cohort)

HLA + 

controls n = 40

Matched to HLA genotype, age (~ 0-14y), and sex (16F/24 M), US. (DAISY cohort)

Plasma

LC-SRM-MS, (Targeted proteomics)

Multiplex assay and ELISA

Pre-seroconversion: 6 (0, 6)

Post-seroconversion, Post IA: 12 (0, 12)

 Nakayasu et al. 2023, Cell. Rep. Med

Untargeted: IA endpoint n = 46, T1D endpoint n = 46

Targeted: IA endpoint n = 401, T1D endpoint n = 94

Discovery: T1D: 25F/21 M

IA: 17F/29 M

Validation:

T1D: 43F/51 M

IA: 179F/222 M

(TEDDY cohort)

Untargeted: IA Control n = 46, T1D Control n = 46

Targeted: IA Control n = 401, T1D Control n = 94

Matched to clinical center, gender, family history of T1D age, and HLA-DR-DQ genotypes

Plasma

2DLC-MS/MS (Untargeted proteomics)

LC-SRM-MS (Targeted proteomics)

Pre-seroconversion:

T1: 4 (3, 1)

Post-seroconversion:

T2: 72 (44, 28)

Pre-seroconversion, Targeted: Month-9: 22 (14, 8)

Month-6: 29 (25, 4)

Month-3: 25 (13, 11, 1)

Post-seroconversion, Targeted: Month 0: 42 (7, 35)

Month 3: 21 (6, 14, 1)

Month 6: 46 (36, 9, 1)

Month 9: 38 (1, 37)

Month 12: 21 (10, 11)

Month 15: 18 (12, 6)

Month 18: 21 (8, 13)

Post-seroconversion

 Metz et al. (2008) J Proteome Res

Post-diagnosis n = 10

Age (< 30y)

(DASP)

HLA-

controls, n = 10

Age (< 30y)

(DASP)

Serum & Plasma

2DLC-MS/MS (Untargeted proteomics)

NA

Post-Diagnosis: 5 (3, 2)

 Zhi et al. 2011, Mol. Cel. Proteom

Post-diagnosis n = 30

Age (~ 0 to ~ 90y), US

Autoantibody-. controls, n = 30

Age and sex Matched, US

Serum

2-DE gel-MALDI–TOF MS (Untargeted proteomics)

Luminex and ELISA assays

Post-Diagnosis: 17 (11, 6)

 Chen et al. 2012, J. Proteomics

Post-diagnosis n = 15

Age and Sex not defined, Taiwan

Controls, n = 5

Taiwan

Plasma

LC–MS/MS (Untargeted proteomics)

ELISA and Immuno-blotting

Post-Diagnosis: 36 (16, 20)

 Zhang et al. 2013, J. Exp. Med

Post-diagnosis n = 50

Age (10-29y), Sex (15F/35 M), ME

(DASP)

HLA-., controls, n = 100

Age (18-28y), Sex (51F/49 M), ME

(DASP)

Serum & Plasma

LC–MS/MS

(Untargeted proteomics)

LC-SRM-MS (Targeted proteomics)

Post-Diagnosis: 24 (4, 18, 2)

Post Diagnosis Targeted: 24 (8, 11, 5)

 Manjunatha et al. 2016,

Metabolism

T1D-PC n = 15 & T1D-GC n = 15

Age (T1D-PC: 33.6 ± 12.97y, T1D-GC: 34.5 ± 12.48y), US

ND-PC n = 15 & ND-GC n = 15

Matched for age, sex, and BMI, US

Serum and Plasma

LC–MS/MS (Untargeted proteomics)

NA

Post-Diagnosis: 39 (23, 16)

 Von Toerne et al. 2017, Diabetologia

T1D family history, Post-seroconversion, rapid T1D n = 15 & slow T1D n = 15

Age (Rapid T1D 0.5-33y, slow T1D 9.5–17.5y), Germany

(BABYDIAB/BABYDIET birth cohorts)

T1D family history, autoantibody-. n = 15

Age and sex matched, Germany

(BABYDIAB/BABYDIET birth cohorts)

Serum

LC–MS/MS (Untargeted proteomics)

LC-SRM-MS (Targeted proteomics)

Post-seroconversion: 26 (13, 13)

 do Nascimento de Oliveira et al. 2018, Diabetes Metab Syndr Obes

Post-diagnosis n = 30

No Familiar history, Age (35.03 ± 8,6), Sex (18F/12F), Brazil

Controls n = 30

No Familiar history, Age (31.5 ± 10.67), Sex (23F/7 M), and other clinical criteria matched, Brazil

Serum

LC–MS/MS

(Untargeted proteomics)

NA

Post-Diagnosis: 8 (6, 2)

 Liu et al. 2018, J. Proteomics

HLAPos

Post-seroconversion, T1D n = 11

Age (1-14y), 7 male and 4 female, RND (3) and NHW (8), US

(DAISY cohort)

HLA + ,

autoantibody-

controls n = 10

Age 1-14y, 5 male and 5 female, RND (1) and NHW (9), US

(DAISY cohort)

Plasma

LC–MS/MS (Untargeted proteomics)

ELISA

Post-seroconversion: 12 (6, 6)

 Gourgari et al. 2019, Cadiocasc. Diabetol

Post-Diagnosis, with high risk of cardiovascular disease, n = 26

12–21 years old, US

(NCT02275091)

Controls n = 13

Age, sex, BMI, and clinical lipid measurement matched, US

(NCT02275091)

Plasma

LC-DIA-MS

(Untargeted proteomics)

NA

Post-Diagnosis: 8 (6, 2)

  1. A total of 13 studies were identified, and details regarding the various study groups, sampling, and tools for measurement and validation are listed. Italic indicates up-regulated proteins, bold indicates down-regulated proteins and bolditalic indicates conflicting detected peptide abundance. Terms used: HLA human leukocyte antigens, F Female, M Male, NHW non-Hispanic white, RND Race not defined, ME Mixed ethnicity, PC poor glycemic control, GC good glycemic control, ND non-diabetic controls, AbPos Antibody positive, y years, m months, IA Islet autoantibodies, T1D Type 1 diabetes, BMI Body mass index, NA Not applicable, DIPP Diabetes Prediction and Prevention, DAISY Diabetes Auto Immunity Study in the Young, TEDDY: The Environmental Determinants of Diabetes in the Young, DASP: Diabetes Antibody Standardization Program, ELISA enzyme-linked immunosorbent assay, LC–DIA–MS Liquid chromatography data independent-acquisition-mass spectrometry, LC–MS/MS Liquid chromatography–tandem mass spectrometry, LC–SRM–MS Liquid chromatography-selected reaction monitoring-mass spectrometry, and 2-DE gel-MALDI–TOF MS 2D gel electrophoresis matrix-assisted laser desorption/ionization time-of-flight mass spectrometry