Toward Candidate Proteomic Biomarkers in Clinical Monitoring of Acute Promyelocytic Leukemia Treatment with Arsenic Trioxide

Cao, Fenglin; Li, Xingang; Yang, Yi-Ju; Fang, Honghong; Qu, Haixia; Chang, Nen-Chung; Ma, Qiang; Cao, Wangnan; Zhou, Jin; Wang, Wei

doi:10.1089/omi.2018.0178

Cited by 3 publications

(3 citation statements)

References 46 publications

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“…Therefore, whether the association of IgG N-glycans with T2DM is the cause or consequence of the disease remains unconfirmed. Further cohort studies with longitudinal data (Cao et al, 2019a) or Mendelian randomization studies (Cao et al, 2019b) are warranted to monitor the changes in N-glycome through the whole course of T2DM, and so as to provide a more definitive explanation regarding the causal relationship between N-glycan profiles and T2DM.…”

Section: Discussionmentioning

confidence: 99%

Type 2 Diabetes Mellitus is Associated with the Immunoglobulin G N-Glycome through Putative Proinflammatory Mechanisms in an Australian Population

Wang

Russell

et al. 2019

OMICS: A Journal of Integrative Biology

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Type 2 diabetes mellitus (T2DM) is a common complex trait arising from interactions among multiple environmental, genomic, and postgenomic factors. We report here the first attempt to investigate the association between immunoglobulin G (IgG) N-glycan patterns, T2DM, and their clinical risk factors in an Australian population. N-glycosylation of proteins is one of the most frequently observed co-and posttranslational modifications, reflecting, importantly, the real-time status of the interplay between the genomic and postgenomic factors. In a community-based case-control study, 849 participants (217 cases and 632 controls) were recruited from an urban community in Busselton, Western Australia. We applied the ultraperformance liquid chromatography method to analyze the composition of IgG N-glycans. We then conducted Spearman's correlation analyses to explore the association between glycan biomarker candidates and clinical risk factors. We performed area under the curve (AUC) analysis of the receiver operating characteristic curves by fivefold cross-validation for clinical risk factors, IgG glycans, and their combination. Two directly measured and four derived glycan peaks were significantly associated with T2DM, after correction for extensive clinical confounders and false discovery rate, thus suggesting that IgG N-glycan traits are highly correlated with T2DM clinical risk factors. Moreover, adding the IgG glycan profiles to fasting blood glucose in the logistic regression model increased the AUC from 0.799 to 0.859. The AUC for IgG glycans alone was 0.623 with a 95% confidence interval 0.580-0.666. In addition, our study provided new evidence of diversity in T2DM complex trait by IgG N-glycan stratification. Six IgG glycan traits were firmly associated with T2DM, which reflects an increased proinflammatory and biological aging status. In summary, our study reports novel associations between the IgG N-glycome and T2DM in an Australian population and the putative role of proinflammatory mechanisms. Furthermore, IgG N-glycomic alterations offer future prospects as inflammatory biomarker candidates for T2DM diagnosis, and monitoring of T2DM progression to cardiovascular disease or renal failure.

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Section: Discussionmentioning

confidence: 99%

Type 2 Diabetes Mellitus is Associated with the Immunoglobulin G N-Glycome through Putative Proinflammatory Mechanisms in an Australian Population

Wang

Russell

et al. 2019

OMICS: A Journal of Integrative Biology

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“…As in previous studies [27,28,43], all plasma samples were fractionated using weak cation exchange magnetic beads to gather and enrich the proteins or peptides, according to the instructions provided by the supplier (ClinProt™, Bruker Daltonics, Billerica, USA) [44,45]. The samples were purified and isolated through three steps: binding, washing, and elution.…”

Section: Magnetic Bead-based Sample Preparation For Peptide Analysismentioning

confidence: 99%

“…Peptide profiling was performed by MALDI-TOF-MS [28,43]. First, the eluted samples were diluted in a matrix solution of α-cyano-4-hydroxycinnamic acid and ethanol and acetone, which was prepared daily.…”

Section: Peptides Profiling and Processing Of Spectral Datamentioning

confidence: 99%

Modelling biological age based on plasma peptides in Han Chinese adults

Cao

Zheng

Wang

et al. 2020

Aging

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Age-related disease burdens increased over time, and whether plasma peptides can be used to accurately predict age in order to explain the variation in biological indicators remains inadequately understood. Here we first developed a biological age model based on plasma peptides in 1890 Chinese Han adults. Based on mass spectrometry, 84 peptides were detected with masses in the range of 0.6-10.0 kDa, and 13 of these peptides were identified as known amino acid sequences. Five of these thirteen plasma peptides, including fragments of apolipoprotein A-I (m/z 2883.99), fibrinogen alpha chain (m/z 3060.13), complement C3 (m/z 2190.59), complement C4-A (m/z 1898.21), and breast cancer type 2 susceptibility protein (m/z 1607.84) were finally included in the final model by performing a multivariate linear regression with stepwise selection. This biological age model accounted for 72.3% of the variation in chronological age. Furthermore, the linear correlation between the actual age and biological age was 0.851 (95% confidence interval: 0.836-0.864) and 0.842 (95% confidence interval: 0.810-0.869) in the training and validation sets, respectively. The biological age based on plasma peptides has potential positive effects on primary prevention, and its biological meaning warrants further investigation.

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Genome plasticity and endocrine diseases

Wang

Tan

et al. 2020

Genome Plasticity in Health and Disease

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Toward Candidate Proteomic Biomarkers in Clinical Monitoring of Acute Promyelocytic Leukemia Treatment with Arsenic Trioxide

Cited by 3 publications

References 46 publications

Type 2 Diabetes Mellitus is Associated with the Immunoglobulin G N-Glycome through Putative Proinflammatory Mechanisms in an Australian Population

Type 2 Diabetes Mellitus is Associated with the Immunoglobulin G N-Glycome through Putative Proinflammatory Mechanisms in an Australian Population

Modelling biological age based on plasma peptides in Han Chinese adults

Genome plasticity and endocrine diseases

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