B-type natriuretic peptide and renal function in Japanese patients with type 2 diabetes mellitus: The Dogo Study

Furukawa, Shinya; Sakai, Takenori; Niiya, Tetsuji; Miyaoka, Hiroaki; Miyake, Teruki; Yamamoto, Shin; Tanaka, Keiko; Ueda, T.; Senba, Hidenori; Torisu, Masamoto; Minami, Hisaka; Matsuura, Bunzo; Hiasa, Yoichi; Miyake, Yoshihiro

doi:10.1507/endocrj.ej17-0256

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…In our study, we found that BNP, IL-10, and TGF-β increased significantly across albuminuria categories. Our results are in agreement with other cohort studies reporting a tight, positive correlation between BNP and albuminuria, regardless of GFR in diabetics, [37,38]. In another study enrolling 1000 primary care patients, BNP was independently associated with GFR, regardless of structural kidney injury [39].…”

Section: Discussionsupporting

confidence: 93%

Association between Biomarkers of Oxidative Stress and Inflammation with Cardiac Necrosis and Heart Failure in Non‐ST Segment Elevation Myocardial Infarction Patients and Various Degrees of Kidney Function

Roumeliotis

Veljković

Georgianos

et al. 2021

Oxidative Medicine and Cellular Longevity

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The aim of this study was to explore the possible association between markers of inflammation and oxidative stress (OS) and markers of cardiac function and necrosis in 100 NSTEMI (non-ST-elevation myocardial infarction) patients with various degrees of kidney dysfunction. At admission, ejection fraction (EF), brain natriuretic peptide (BNP), troponin (TnI), creatinine phosphokinase (CPK), alanine transaminase (ALT), aspartate transaminase (AST), high-sensitive C-reactive protein (hs-CRP), interleukins 6 and 10 (IL-6, IL10), myeloperoxidase (MPO), transforming growth factor beta (TGF-β1), glomerular filtration rate (GFR), and albuminuria were assessed. Study participants were divided into 2 subgroups based on the median level of EF. Compared to the high, patients in the low EF group had higher GFR, BNP, CPK, hs-CRP, IL-10, IL-6, and MPO values and lower albuminuria levels. The levels of EF decreased in parallel with the progression of CKD, whereas the levels of BNP, IL-6, and TGF-β were significantly higher in late stages of CKD. Spearman’s rho correlation analysis showed that EF was inversely correlated with MPO ( r = − 0.20 , p = 0.05 ) BNP ( r = − 0.30 , p = 0.002 ), hs-CRP ( r = − 0.38 , p < 0.0001 ), IL-10 ( r = − 0.30 , p = 0.003 ), and IL-6 ( r = − 0.24 , p = 0.02 ) and positively with GFR ( r = 0.27 , p = 0.008 ). TnI was correlated with CPK ( r = 0.44 , p < 0.0001 ), CPK-MB ( r = 0.31 , p = 0.002 ), ALT ( r = 0.50 , p < 0.0001 ), AST ( r = 0.29 , p = 0.004 ), IL-10 ( r = 0.22 , p = 0.03 ), and MPO ( r = − 0.28 , p = 0.006 ). In multivariate regression analysis, only BNP ( β = − 0.011 , p = 0.004 ), hs-CRP ( β = − 0.11 , p = 0.001 ), and GFR ( β = 0.12 , p = 0.0029 ) were independent determinants of EF. Similarly, MPO ( β = − 1.69 , p = 0.02 ), IL-10 ( β = 0.15 , p = 0.006 ), and AST ( β = 0.04 , p = 0.001 ) were the 3 major determinants of TnI. Based on these associations, we built a predictive model including markers of inflammation and OS (MPO, IL-10, and hs-CRP) to identify patients with the most severe cardiac injury (combined EF below median and troponin above median values). Receiver-operator characteristic (ROC) analysis showed that the area under the ROC curve of this model to detect patients with low EF and high TnI was 0.67 ( p = 0.015 , 95 % confidence interval = 0.53 ‐ 0.81 ).

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Section: Discussionsupporting

confidence: 93%

Association between Biomarkers of Oxidative Stress and Inflammation with Cardiac Necrosis and Heart Failure in Non‐ST Segment Elevation Myocardial Infarction Patients and Various Degrees of Kidney Function

Roumeliotis

Veljković

Georgianos

et al. 2021

Oxidative Medicine and Cellular Longevity

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“…Of the laboratory parameters with less than the required 400 baseline values, it is of interest that brain natriuretic peptide, C-reactive protein and urinary alpha-1 microglobulin were greater than the ULN in more than 10% of the subjects as according to literature these three laboratory biomarkers have been shown to be elevated in individuals with diabetes. 12,13 This data, although with less than 400 subjects, may, therefore, be useful in better understanding the more currently esoteric laboratory parameters. The 28% of laboratory parameters being potentially different from the HVRR further support the pilot study and general medical judgement that it is not uncommon for laboratory parameter values to be different from the HVRR in patient populations.…”

Section: Discussionmentioning

confidence: 97%

<p>Are Laboratory Parameter (Biomarker) Values Similar to the Healthy Volunteer Reference Range in Individuals with Diabetes</p>

Brott¹,

Goodman²,

Hermann³

et al. 2020

DDDT

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Background: Identification of laboratory parameter clinical safety signals depends on the terminology and scoring criteria. Grade 1 scoring criteria in the Common Terminology Criteria for Adverse Events (CTCAE) is typically based on the healthy volunteer reference range (HVRR). The objectives of this study were to determine 1) what laboratory parameters in individuals with diabetes are potentially different from the HVRR and 2) what fold change from baseline should be expected in this population. Materials and Methods: Baseline data from the individuals with diabetes clinical trial data (TransCelerate dataset) were compared to the HVRR using a 10% threshold above HVRR to classify laboratory parameters as potentially different from the HVRR. These parameters were then evaluated longitudinally to determine the expected x-baseline values for individuals with diabetes for potential use in identifying drug-induced changes. Results: The baseline data determined that 28% of the laboratory parameters evaluated were potentially different from the HVRR. Longitudinal data analysis determined 1) thresholds for 13 of these laboratory parameters with the subjects above the threshold having greater variability than those below the threshold, and 2) the expected upper limits (x-baseline) were calculated for the laboratory parameters. For example, a 1.8-2.6 x-baseline value for alanine aminotransferase, depending on how the baseline is calculated, is expected in individuals with diabetes. Conclusion: It is not uncommon for laboratory parameters in individuals with diabetes clinical trials to be potentially different from the HVRR, and the x-baseline criteria for 13 of these laboratory biomarkers was determined for this population. This suggests consideration in modifying the current CTCAE grade 1 criteria of >1.5-3.0 x-baseline should be further investigated as to if the current criteria detects too many false-positive signals in this population.

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“…Previously, it has been reported that inflammatory markers related to cardiovascular disease did not significantly differ in subjects with and without MetS [ 22 ]. On the other hand, albuminuria in diabetics may be associated with comorbidities due to diabetes mellitus [ 23 , 24 ].…”

Section: Discussionmentioning

confidence: 99%

Metabolic Syndrome and Chronic Renal Disease

Raikou¹,

Gavriil

2018

Diseases

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Background: The influence of metabolic syndrome (MetS) on kidneys is related to many complications. We aimed to assess the association between MetS and chronic renal disease defined by a poor estimated glomerular filtration rate (eGFR) and/or the presence of microalbuminuria/macroalbuminuria. Methods: 149 patients (77 males/72 females) were enrolled in the study. Chronic renal disease was defined according to KDIGO 2012 criteria based on eGFR category and classified albuminuria. MetS was studied as a dichotomous variable (0 to 5 components) including hypertension, waist circumference, low HDL-cholesterol, high triglycerides, and high glucose. Results: The association between clustering MetS and both classified eGFR and classified albuminuria (x2 = 50.3, p = 0.001 and x2 = 26.9, p = 0.003 respectively) was found to be significant. The MetS presence showed an odds 5.3-fold (1.6–17.8) higher for low eGFR and 3.2-fold (1.2–8.8) higher for albuminuria in combination with the presence of diabetes mellitus, which also increased the risk for albuminuria by 3.5-fold (1.1–11.3). Albuminuria was significantly associated with high triglycerides, hypertension, high glucose (x2 = 11.8, p = 0.003, x2 = 11.4, p = 0.003 and x2 = 9.1, p = 0.01 respectively), and it was mildly associated with a low HDL-C (x2 = 5.7, p = 0.06). A significant association between classified eGFR and both high triglycerides and hypertension (x2 = 9.7, p = 0.04 and x2 = 16.1, p = 0.003 respectively) was found. Conclusion: The clustering of MetS was significantly associated with chronic renal disease defined by both classified eGFR and albuminuria. The definition of impaired renal function by classified albuminuria was associated with more MetS components rather than the evaluation of eGFR category. MetS may contribute to the manifestation of albuminuria in patients with diabetes mellitus.

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B-type natriuretic peptide and renal function in Japanese patients with type 2 diabetes mellitus: The Dogo Study

Cited by 5 publications

References 20 publications

Association between Biomarkers of Oxidative Stress and Inflammation with Cardiac Necrosis and Heart Failure in Non‐ST Segment Elevation Myocardial Infarction Patients and Various Degrees of Kidney Function

Association between Biomarkers of Oxidative Stress and Inflammation with Cardiac Necrosis and Heart Failure in Non‐ST Segment Elevation Myocardial Infarction Patients and Various Degrees of Kidney Function

<p>Are Laboratory Parameter (Biomarker) Values Similar to the Healthy Volunteer Reference Range in Individuals with Diabetes</p>

Metabolic Syndrome and Chronic Renal Disease

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