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Pregled bibliografske jedinice broj: 1002543

Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population


Gao, Qing; Dolikun, Mamatyusupu; Štambuk, Jerko; Wang, Hao; Zhao, Feifei; Yiliham, Nizam; Wang, Youxin; Trbojević-Akmačić, Irena; Zhang, Jie; Fang, Honghong et al.
Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population // Omics-a journal of integrative biology, 21 (2017), 7; 380-389 doi:10.1089/omi.2017.0044 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1002543 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population

Autori
Gao, Qing ; Dolikun, Mamatyusupu ; Štambuk, Jerko ; Wang, Hao ; Zhao, Feifei ; Yiliham, Nizam ; Wang, Youxin ; Trbojević-Akmačić, Irena ; Zhang, Jie ; Fang, Honghong ; Sun, Yang ; Peng, Hongli ; Zhao, Zhongyao ; Liu, Di ; Liu, Jiaonan ; Li, Qihuan ; Sun, Qi ; Wu, Lijuan ; Lauc, Gordan ; Wang, Wei ; Song, Manshu

Izvornik
Omics-a journal of integrative biology (1536-2310) 21 (2017), 7; 380-389

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Kazakh population ; biomarkers ; glycomics ; hypertension ; postgenomic diagnostics

Sažetak
Next-generation (postgenomic) biomarkers from the nascent field of glycomics now offer fresh vistas for innovation in chronic disease biomarkers and system diagnostics in clinical medicine. Our previous work has shown an association between hypertension and immunoglobulin G (IgG) glycome composition, suggesting that individual variation in N-glycosylation of IgG might contribute to hypertension pathogenesis. The present study examined, for the first time to the best of our knowledge, the IgG N-glycans as potential biomarkers for hypertension in the Kazakh population. The profile of 60 N-glycopeptides of IgG subclass isolated from plasma samples of 150 Kazakh study participants was analyzed by nano ultra-performance liquid chromatography with mass spectrometry. Fourteen IgG subclass-specific Fc N-glycopeptide structures, along with one derived glycosylation trait in subclasses IgG2/3 and IgG4, were found to correlate with systolic blood pressure and/or diastolic blood pressure. For differentiation of hypertension and healthy status in the Kazakh population sample, the receiver operating characteristic curve analysis showed that the performance of the model, including nine IgG N-glycans, was greater than the traditional gender, age, and body mass index based model (p < 0.05). This study indicates that alteration in Fc N-glycopeptide profiles of plasma IgG subclasses is associated with blood pressure status in the Kazakh population. IgG N-glycosylation profiles may serve as potential biomarkers for hypertension in the Kazakhs, thus contributing to move toward personalized medicine. Further studies of postgenomic glycomic biomarkers in cardiovascular and chronic diseases are timely and called for.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Biologija, Demografija



POVEZANOST RADA


Projekti:
EK-FP7-602736 - Multi-dimensional omics approach to stratification of patients with low back pain (PAIN-OMICS) (Primorac, Dragan; Lauc, Gordan, EK - FP7-HEALTH-2013-INNOVATION-1) ( CroRIS)
EK-FP7-305280 - Methods for Integrated analysis of Multiple Omics datasets (MIMOMICS) (Lauc, Gordan, EK - FP7-HEALTH-2012-INNOVATION-1) ( CroRIS)

Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb,
GENOS d.o.o.

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Gao, Qing; Dolikun, Mamatyusupu; Štambuk, Jerko; Wang, Hao; Zhao, Feifei; Yiliham, Nizam; Wang, Youxin; Trbojević-Akmačić, Irena; Zhang, Jie; Fang, Honghong et al.
Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population // Omics-a journal of integrative biology, 21 (2017), 7; 380-389 doi:10.1089/omi.2017.0044 (međunarodna recenzija, članak, znanstveni)
Gao, Q., Dolikun, M., Štambuk, J., Wang, H., Zhao, F., Yiliham, N., Wang, Y., Trbojević-Akmačić, I., Zhang, J. & Fang, H. (2017) Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population. Omics-a journal of integrative biology, 21 (7), 380-389 doi:10.1089/omi.2017.0044.
@article{article, author = {Gao, Qing and Dolikun, Mamatyusupu and \v{S}tambuk, Jerko and Wang, Hao and Zhao, Feifei and Yiliham, Nizam and Wang, Youxin and Trbojevi\'{c}-Akma\v{c}i\'{c}, Irena and Zhang, Jie and Fang, Honghong and Sun, Yang and Peng, Hongli and Zhao, Zhongyao and Liu, Di and Liu, Jiaonan and Li, Qihuan and Sun, Qi and Wu, Lijuan and Lauc, Gordan and Wang, Wei and Song, Manshu}, year = {2017}, pages = {380-389}, DOI = {10.1089/omi.2017.0044}, keywords = {Kazakh population, biomarkers, glycomics, hypertension, postgenomic diagnostics}, journal = {Omics-a journal of integrative biology}, doi = {10.1089/omi.2017.0044}, volume = {21}, number = {7}, issn = {1536-2310}, title = {Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population}, keyword = {Kazakh population, biomarkers, glycomics, hypertension, postgenomic diagnostics} }
@article{article, author = {Gao, Qing and Dolikun, Mamatyusupu and \v{S}tambuk, Jerko and Wang, Hao and Zhao, Feifei and Yiliham, Nizam and Wang, Youxin and Trbojevi\'{c}-Akma\v{c}i\'{c}, Irena and Zhang, Jie and Fang, Honghong and Sun, Yang and Peng, Hongli and Zhao, Zhongyao and Liu, Di and Liu, Jiaonan and Li, Qihuan and Sun, Qi and Wu, Lijuan and Lauc, Gordan and Wang, Wei and Song, Manshu}, year = {2017}, pages = {380-389}, DOI = {10.1089/omi.2017.0044}, keywords = {Kazakh population, biomarkers, glycomics, hypertension, postgenomic diagnostics}, journal = {Omics-a journal of integrative biology}, doi = {10.1089/omi.2017.0044}, volume = {21}, number = {7}, issn = {1536-2310}, title = {Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population}, keyword = {Kazakh population, biomarkers, glycomics, hypertension, postgenomic diagnostics} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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