Blood-Based Biomarkers for Metabolic Syndrome

被引:62
作者
O'Neill, Sadhbh [1 ,2 ]
Bohl, Mette [3 ]
Gregersen, Soren [3 ]
Hermansen, Kjeld [3 ]
O'Driscoll, Lorraine [1 ,2 ]
机构
[1] Univ Dublin Trinity Coll, Sch Pharm & Pharmaceut Sci, Dublin 2, Ireland
[2] Univ Dublin Trinity Coll, Trinity Biomed Sci Inst, Dublin 2, Ireland
[3] Aarhus Univ Hosp, Dept Endocrinol & Internal Med, DK-8000 Aarhus, Denmark
关键词
EXTRACELLULAR VESICLES; CIRCULATING MICRORNAS; TRANSFERRIN RECEPTOR; MESSENGER-RNA; ADIPONECTIN; EXPRESSION; PROTEIN; OBESE; ASSOCIATION; NEPRILYSIN;
D O I
10.1016/j.tem.2016.03.012
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Metabolic syndrome (MetS) is a constellation of factors increasing the risk of type 2 diabetes mellitus (T2DM), cardiovascular disease (CVD), and cancer. MetS diagnosis is cumbersome and the precise diagnosis differs throughout the world. Efforts are underway to find MetS biomarkers that could all be analysed in a single blood sample. Here we review recent advances, including progress on circulating exosomes and microvesicles and their molecular contents, as well as DNA, RNAs, and proteins taken directly from blood samples. While additional research is now warranted to advance upon these findings, there is reason for optimising that such blood-based entities will be beneficial for MetS diagnosis and will help reduce risk of T2DM, CVD, and cancers, contributing both societal and economic benefit.
引用
收藏
页码:363 / 374
页数:12
相关论文
共 50 条
  • [31] Clinical significance of blood-based miRNAs as biomarkers of non-small cell lung cancer
    Li, Lin
    Sun, Yu
    Feng, Min
    Wang, Liang
    Liu, Jing
    ONCOLOGY LETTERS, 2018, 15 (06) : 8915 - 8925
  • [32] Use of blood-based biomarkers for early diagnosis and surveillance of colorectal cancer
    Ganepola AP Ganepola
    Joel Nizin
    John R Rutledge
    David H Chang
    World Journal of Gastrointestinal Oncology, 2014, (04) : 83 - 97
  • [33] Identification of Potential Blood-Based Biomarkers for Frailty by Using an Integrative Approach
    Suganuma, Mutsumi
    Furutani, Motoki
    Hosoyama, Tohru
    Mitsumori, Risa
    Otsuka, Rei
    Takemura, Marie
    Matsui, Yasumoto
    Nakano, Yukiko
    Niida, Shumpei
    Ozaki, Kouichi
    Satake, Shosuke
    Shigemizu, Daichi
    GERONTOLOGY, 2024, 70 (06) : 630 - 638
  • [34] Blood-based biomarkers for early detection of esophageal squamous cell carcinoma
    Chu, Ling-Yu
    Peng, Yu-Hui
    Weng, Xue-Fen
    Xie, Jian-Jun
    Xu, Yi-Wei
    WORLD JOURNAL OF GASTROENTEROLOGY, 2020, 26 (15) : 1708 - 1725
  • [35] Types and Concentrations of Blood-Based Biomarkers in Adults With Peripheral Neuropathies: A Systematic Review and Meta-analysis
    Fundaun, Joel
    Kolski, Melissa
    Molina-Alvarez, Miguel
    Baskozos, Georgios
    Schmid, Annina B.
    JAMA NETWORK OPEN, 2022, 5 (12) : E2248593
  • [36] Maximizing the Clinical Value of Blood-Based Biomarkers for Mild Traumatic Brain Injury
    Rauchman, Steven H.
    Pinkhasov, Aaron
    Gulkarov, Shelly
    Placantonakis, Dimitris G.
    De Leon, Joshua
    Reiss, Allison B.
    DIAGNOSTICS, 2023, 13 (21)
  • [37] Characterizing Aging, Mild Cognitive Impairment, and Dementia with Blood-Based Biomarkers and Neuropsychology
    Kleinschmidt, Martin
    Schoenfeld, Robby
    Goettlich, Claudia
    Bittner, Daniel
    Metzner, Juergen Erich
    Leplow, Bernd
    Demuth, Hans-Ulrich
    JOURNAL OF ALZHEIMERS DISEASE, 2016, 50 (01) : 111 - 126
  • [38] Blood-based biomarkers in Alzheimer's disease: an overview on proteomic and lipidomic approaches
    Ilinoiu, Geanina Andreea
    Tirintica, Raluca
    Lungu, Cosmin
    Mihai, Adriana
    REVISTA ROMANA DE MEDICINA DE LABORATOR, 2016, 24 (02): : 143 - 152
  • [39] Blood-based biomarkers of agitation in Alzheimer's disease: Advances and future prospects
    Tumati, Shankar
    Herrmann, Nathan
    Marotta, Giovanni
    Li, Abby
    Lanctot, Krista L.
    NEUROCHEMISTRY INTERNATIONAL, 2022, 152
  • [40] Potential of circulating tumor cells as blood-based biomarkers in cancer liquid biopsy
    Schlange, Thomas
    Pantel, Klaus
    PHARMACOGENOMICS, 2016, 17 (03) : 183 - 186