Possible relationship between the heart rates and serum amyloid A in a hyperglycemic population

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Author(s)

    • Kotani Kazuhiko
    • Department of Clinical Laboratory Medicine, Jichi Medical University
    • Shuumarjav Uurtuya
    • Department of Clinical Laboratory Medicine, Jichi Medical University|Department of Pathology, Mongolian National University of Medical Sciences

Abstract

Hyperglycemia predicts cardiovascular disease (CVD)-related outcomes. The resting heart rates (HRs) and serum amyloid A (SAA), an inflammatory marker, are respectively factors associated with CVD-related outcomes; however, little is known regarding the associations between these two factors. This study aimed to investigate the correlation between the HRs and SAA levels under hyperglycemic conditions. This study included 298 subjects (males, 44%; mean age, 61.1 years) without a history of CVD and/or hypertensive levels. Clinical data, including general laboratory measurements, HRs and SAA, were measured. The analyses were performed after dividing all of the subjects into two groups based on the blood glucose level (< or ≥ 6.1 mmol/L). There was a higher SAA level in the hyperglycemic group (<i>n</i> = 143; median [interquartile range] 6.1 [4.1-10.6] μg/mL) than in the counterpart group (<i>n</i> = 155; 6.0 [3.5-8.5] μg/mL; <i>p</i> < 0.01). There was a trend toward increased HRs in the hyperglycemic group (mean [standard deviation] 65.3 [11.2] bpm) compared to the counterpart group (63.2 [9.4] bpm; <i>p</i> = 0.08). In the hyperglycemic group, there was a significant positive correlation between the HRs and SAA levels (multiple variables-adjusted analysis: β = 0.21, <i>p</i> = 0.02), while no correlation was found in the counterpart group (β = 0.06, <i>p</i> = 0.50). In summary, a positive correlation between the HRs and SAA levels can present under hyperglycemic conditions. These findings may provide relevant insights into the CVD-related pathologies associated with hyperglycemia. Further studies are warranted.

Journal

  • BioScience Trends

    BioScience Trends 9(1), 79-81, 2015

    International Research and Cooperation Association for Bio & Socio-Sciences Advancement

Codes

  • NII Article ID (NAID)
    130005054680
  • Text Lang
    ENG
  • ISSN
    1881-7815
  • Data Source
    J-STAGE 
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