Estimates of renal net acid excretion and their relationships with serum uric acid and hyperuricemia in a representative German population sample

Background/Objective Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid...

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Published inEuropean journal of clinical nutrition Vol. 74; no. Suppl 1; pp. 63 - 68
Main Authors Esche, Jonas, Krupp, Danika, Mensink, Gert BM, Remer, Thomas
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.08.2020
Nature Publishing Group
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Online AccessGet full text
ISSN0954-3007
1476-5640
1476-5640
DOI10.1038/s41430-020-0688-2

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Abstract Background/Objective Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid load (PRAL) was found to associate with higher SUA levels. Against this background, we re-examined the relationship of the body’s acid load with SUA and hyperuricemia using nutrition-derived estimates of renal net acid excretion (NAE). Subjects/Methods Cross-sectional analyses were performed in n  = 6894 participants (18–79 y) of the German Health Interview and Examination Survey for Adults (DEGS1). Two different approaches were used to estimate NAE, one based on the sum of food frequency questionnaire (FFQ)-derived PRAL and body-surface area-derived organic acids (eNAE PRAL+OA ) and the other based on FFQ-derived protein and potassium intake ratios (eNAE Prot/K ). The associations of eNAE PRAL+OA and eNAE Prot/K with SUA were analyzed in multiple linear regression models. Multiple logistic regressions were used to calculate odds ratios (OR) for hyperuricemia comparing higher (T3) and lower (T1) tertiles of the NAE estimates. Results After adjusting for relevant confounders, eNAE PRAL+OA ( p  = 0.0048) and eNAE Prot/K ( p  = 0.0023) were positively associated with SUA. In addition, participants with a higher eNAE PRAL+OA or eNAE Prot/K had higher ORs for having hyperuricemia (OR: 1.73, 95% CI: 1.24–2.40, OR: 1.51, 95% CI: 1.10–2.08, respectively). Conclusion The results substantiate findings of a previous analysis that dietary acid load is a potential influencing factor on SUA. This implicates that a lower dietary acid load may have beneficial effects on SUA.
AbstractList Background/Objective Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid load (PRAL) was found to associate with higher SUA levels. Against this background, we re-examined the relationship of the body's acid load with SUA and hyperuricemia using nutrition-derived estimates of renal net acid excretion (NAE). Subjects/Methods Cross-sectional analyses were performed in n = 6894 participants (18-79 y) of the German Health Interview and Examination Survey for Adults (DEGS1). Two different approaches were used to estimate NAE, one based on the sum of food frequency questionnaire (FFQ)-derived PRAL and body-surface area-derived organic acids (eNAE.sub.PRAL+OA) and the other based on FFQ-derived protein and potassium intake ratios (eNAE.sub.Prot/K). The associations of eNAE.sub.PRAL+OA and eNAE.sub.Prot/K with SUA were analyzed in multiple linear regression models. Multiple logistic regressions were used to calculate odds ratios (OR) for hyperuricemia comparing higher (T3) and lower (T1) tertiles of the NAE estimates. Results After adjusting for relevant confounders, eNAE.sub.PRAL+OA (p = 0.0048) and eNAE.sub.Prot/K (p = 0.0023) were positively associated with SUA. In addition, participants with a higher eNAE.sub.PRAL+OA or eNAE.sub.Prot/K had higher ORs for having hyperuricemia (OR: 1.73, 95% CI: 1.24-2.40, OR: 1.51, 95% CI: 1.10-2.08, respectively). Conclusion The results substantiate findings of a previous analysis that dietary acid load is a potential influencing factor on SUA. This implicates that a lower dietary acid load may have beneficial effects on SUA.
Background/ObjectivePreliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid load (PRAL) was found to associate with higher SUA levels. Against this background, we re-examined the relationship of the body’s acid load with SUA and hyperuricemia using nutrition-derived estimates of renal net acid excretion (NAE).Subjects/MethodsCross-sectional analyses were performed in n = 6894 participants (18–79 y) of the German Health Interview and Examination Survey for Adults (DEGS1). Two different approaches were used to estimate NAE, one based on the sum of food frequency questionnaire (FFQ)-derived PRAL and body-surface area-derived organic acids (eNAEPRAL+OA) and the other based on FFQ-derived protein and potassium intake ratios (eNAEProt/K). The associations of eNAEPRAL+OA and eNAEProt/K with SUA were analyzed in multiple linear regression models. Multiple logistic regressions were used to calculate odds ratios (OR) for hyperuricemia comparing higher (T3) and lower (T1) tertiles of the NAE estimates.ResultsAfter adjusting for relevant confounders, eNAEPRAL+OA (p = 0.0048) and eNAEProt/K (p = 0.0023) were positively associated with SUA. In addition, participants with a higher eNAEPRAL+OA or eNAEProt/K had higher ORs for having hyperuricemia (OR: 1.73, 95% CI: 1.24–2.40, OR: 1.51, 95% CI: 1.10–2.08, respectively).ConclusionThe results substantiate findings of a previous analysis that dietary acid load is a potential influencing factor on SUA. This implicates that a lower dietary acid load may have beneficial effects on SUA.
Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid load (PRAL) was found to associate with higher SUA levels. Against this background, we re-examined the relationship of the body's acid load with SUA and hyperuricemia using nutrition-derived estimates of renal net acid excretion (NAE).BACKGROUND/OBJECTIVEPreliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid load (PRAL) was found to associate with higher SUA levels. Against this background, we re-examined the relationship of the body's acid load with SUA and hyperuricemia using nutrition-derived estimates of renal net acid excretion (NAE).Cross-sectional analyses were performed in n = 6894 participants (18-79 y) of the German Health Interview and Examination Survey for Adults (DEGS1). Two different approaches were used to estimate NAE, one based on the sum of food frequency questionnaire (FFQ)-derived PRAL and body-surface area-derived organic acids (eNAEPRAL+OA) and the other based on FFQ-derived protein and potassium intake ratios (eNAEProt/K). The associations of eNAEPRAL+OA and eNAEProt/K with SUA were analyzed in multiple linear regression models. Multiple logistic regressions were used to calculate odds ratios (OR) for hyperuricemia comparing higher (T3) and lower (T1) tertiles of the NAE estimates.SUBJECTS/METHODSCross-sectional analyses were performed in n = 6894 participants (18-79 y) of the German Health Interview and Examination Survey for Adults (DEGS1). Two different approaches were used to estimate NAE, one based on the sum of food frequency questionnaire (FFQ)-derived PRAL and body-surface area-derived organic acids (eNAEPRAL+OA) and the other based on FFQ-derived protein and potassium intake ratios (eNAEProt/K). The associations of eNAEPRAL+OA and eNAEProt/K with SUA were analyzed in multiple linear regression models. Multiple logistic regressions were used to calculate odds ratios (OR) for hyperuricemia comparing higher (T3) and lower (T1) tertiles of the NAE estimates.After adjusting for relevant confounders, eNAEPRAL+OA (p = 0.0048) and eNAEProt/K (p = 0.0023) were positively associated with SUA. In addition, participants with a higher eNAEPRAL+OA or eNAEProt/K had higher ORs for having hyperuricemia (OR: 1.73, 95% CI: 1.24-2.40, OR: 1.51, 95% CI: 1.10-2.08, respectively).RESULTSAfter adjusting for relevant confounders, eNAEPRAL+OA (p = 0.0048) and eNAEProt/K (p = 0.0023) were positively associated with SUA. In addition, participants with a higher eNAEPRAL+OA or eNAEProt/K had higher ORs for having hyperuricemia (OR: 1.73, 95% CI: 1.24-2.40, OR: 1.51, 95% CI: 1.10-2.08, respectively).The results substantiate findings of a previous analysis that dietary acid load is a potential influencing factor on SUA. This implicates that a lower dietary acid load may have beneficial effects on SUA.CONCLUSIONThe results substantiate findings of a previous analysis that dietary acid load is a potential influencing factor on SUA. This implicates that a lower dietary acid load may have beneficial effects on SUA.
Background/Objective Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid load (PRAL) was found to associate with higher SUA levels. Against this background, we re-examined the relationship of the body’s acid load with SUA and hyperuricemia using nutrition-derived estimates of renal net acid excretion (NAE). Subjects/Methods Cross-sectional analyses were performed in n  = 6894 participants (18–79 y) of the German Health Interview and Examination Survey for Adults (DEGS1). Two different approaches were used to estimate NAE, one based on the sum of food frequency questionnaire (FFQ)-derived PRAL and body-surface area-derived organic acids (eNAE PRAL+OA ) and the other based on FFQ-derived protein and potassium intake ratios (eNAE Prot/K ). The associations of eNAE PRAL+OA and eNAE Prot/K with SUA were analyzed in multiple linear regression models. Multiple logistic regressions were used to calculate odds ratios (OR) for hyperuricemia comparing higher (T3) and lower (T1) tertiles of the NAE estimates. Results After adjusting for relevant confounders, eNAE PRAL+OA ( p  = 0.0048) and eNAE Prot/K ( p  = 0.0023) were positively associated with SUA. In addition, participants with a higher eNAE PRAL+OA or eNAE Prot/K had higher ORs for having hyperuricemia (OR: 1.73, 95% CI: 1.24–2.40, OR: 1.51, 95% CI: 1.10–2.08, respectively). Conclusion The results substantiate findings of a previous analysis that dietary acid load is a potential influencing factor on SUA. This implicates that a lower dietary acid load may have beneficial effects on SUA.
Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line with this, in a recent cross-sectional analysis of a representative adult population sample, a higher potential renal acid load (PRAL) was found to associate with higher SUA levels. Against this background, we re-examined the relationship of the body's acid load with SUA and hyperuricemia using nutrition-derived estimates of renal net acid excretion (NAE). After adjusting for relevant confounders, eNAE.sub.PRAL+OA (p = 0.0048) and eNAE.sub.Prot/K (p = 0.0023) were positively associated with SUA. In addition, participants with a higher eNAE.sub.PRAL+OA or eNAE.sub.Prot/K had higher ORs for having hyperuricemia (OR: 1.73, 95% CI: 1.24-2.40, OR: 1.51, 95% CI: 1.10-2.08, respectively). The results substantiate findings of a previous analysis that dietary acid load is a potential influencing factor on SUA. This implicates that a lower dietary acid load may have beneficial effects on SUA.
Audience Professional
Academic
Author Esche, Jonas
Mensink, Gert BM
Krupp, Danika
Remer, Thomas
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  email: remer@uni-bonn.de
  organization: DONALD Study Center Dortmund, IEL - Nutritional Epidemiology, University of Bonn
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Snippet Background/Objective Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric...
Background/Objective Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric...
Preliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric acid (SUA). In line...
Background/ObjectivePreliminary interventional data suggest that a reduction of dietary acid load raises renal uric acid excretion and decreases serum uric...
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SubjectTerms Analysis
Clinical Nutrition
Epidemiology
Estimates
Excretion
Hyperuricemia
Internal Medicine
Kidneys
Medicine
Medicine & Public Health
Metabolic Diseases
Nutrition
Organic acids
Public Health
Regression analysis
Regression models
Renal function
Surveys
Uric acid
Title Estimates of renal net acid excretion and their relationships with serum uric acid and hyperuricemia in a representative German population sample
URI https://link.springer.com/article/10.1038/s41430-020-0688-2
https://www.proquest.com/docview/2439112732
https://www.proquest.com/docview/2439630278
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