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Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach

OBJECTIVES: We tested a model in which Helicobacter pylori seropositivity (Hp(s)) predicted iron status, which in turn acted as a predictor for markers of 1-C metabolism that were then allowed to predict antioxidant status. METHODS: National Health and Nutrition Examination Surveys (NHANES 1999–2000...

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Autores principales: Beydoun, May A., Dore, Greg A., Canas, Jose A., Beydoun, Hind A., Zonderman, Alan B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376857/
https://www.ncbi.nlm.nih.gov/pubmed/25815731
http://dx.doi.org/10.1371/journal.pone.0121390
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author Beydoun, May A.
Dore, Greg A.
Canas, Jose A.
Beydoun, Hind A.
Zonderman, Alan B.
author_facet Beydoun, May A.
Dore, Greg A.
Canas, Jose A.
Beydoun, Hind A.
Zonderman, Alan B.
author_sort Beydoun, May A.
collection PubMed
description OBJECTIVES: We tested a model in which Helicobacter pylori seropositivity (Hp(s)) predicted iron status, which in turn acted as a predictor for markers of 1-C metabolism that were then allowed to predict antioxidant status. METHODS: National Health and Nutrition Examination Surveys (NHANES 1999–2000) cross-sectional data among adults aged 20–85 y were analyzed (n = 3,055). Markers of Hp(s), iron status (serum ferritin and transferrin saturation (TS)); 1-C metabolism (serum folate (FOL(serum)), B-12, total homocysteine (tHcy), methylmalonic acid (MMA)) and antioxidant status (vitamins A and E) were entered into a structural equations model (SEM). RESULTS: Predictors of Hp(s) included older age, lower education and income, racial/ethnic groups (lowest among Non-Hispanic Whites), and lifetime cigarette smoking. SEM modeling indicated that Hp(s) had a direct inverse relationship with iron status (combining serum ferritin and TS) which in turn was positively related to 1-C metabolites (higher serum folate, B-12 or lower tHcy/MMA) that were positively associated with antioxidant status (combining serum vitamins A and E). Another pathway that was found bypassed 1-C metabolites (Hps → Iron_st → Antiox). The sum of all indirect effects from Hp(s) combining both pathways and the other indirect pathways in the model (Hps → Iron_st → OneCarbon; Hps →OneCarbon →Antiox) was estimated at β = -0.006±0.003, p<0.05. CONCLUSIONS: In sum, of the total effect of H. pylori seropositivity on antioxidant status, two significant indirect pathways through Iron status and 1-Carbon metabolites were found. Randomized controlled trials should be conducted to uncover the concomitant causal effect of H. pylori eradication on improving iron status, folate, B-12 and antioxidant status among H. pylori seropositive individuals.
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spelling pubmed-43768572015-04-04 Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach Beydoun, May A. Dore, Greg A. Canas, Jose A. Beydoun, Hind A. Zonderman, Alan B. PLoS One Research Article OBJECTIVES: We tested a model in which Helicobacter pylori seropositivity (Hp(s)) predicted iron status, which in turn acted as a predictor for markers of 1-C metabolism that were then allowed to predict antioxidant status. METHODS: National Health and Nutrition Examination Surveys (NHANES 1999–2000) cross-sectional data among adults aged 20–85 y were analyzed (n = 3,055). Markers of Hp(s), iron status (serum ferritin and transferrin saturation (TS)); 1-C metabolism (serum folate (FOL(serum)), B-12, total homocysteine (tHcy), methylmalonic acid (MMA)) and antioxidant status (vitamins A and E) were entered into a structural equations model (SEM). RESULTS: Predictors of Hp(s) included older age, lower education and income, racial/ethnic groups (lowest among Non-Hispanic Whites), and lifetime cigarette smoking. SEM modeling indicated that Hp(s) had a direct inverse relationship with iron status (combining serum ferritin and TS) which in turn was positively related to 1-C metabolites (higher serum folate, B-12 or lower tHcy/MMA) that were positively associated with antioxidant status (combining serum vitamins A and E). Another pathway that was found bypassed 1-C metabolites (Hps → Iron_st → Antiox). The sum of all indirect effects from Hp(s) combining both pathways and the other indirect pathways in the model (Hps → Iron_st → OneCarbon; Hps →OneCarbon →Antiox) was estimated at β = -0.006±0.003, p<0.05. CONCLUSIONS: In sum, of the total effect of H. pylori seropositivity on antioxidant status, two significant indirect pathways through Iron status and 1-Carbon metabolites were found. Randomized controlled trials should be conducted to uncover the concomitant causal effect of H. pylori eradication on improving iron status, folate, B-12 and antioxidant status among H. pylori seropositive individuals. Public Library of Science 2015-03-27 /pmc/articles/PMC4376857/ /pubmed/25815731 http://dx.doi.org/10.1371/journal.pone.0121390 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Beydoun, May A.
Dore, Greg A.
Canas, Jose A.
Beydoun, Hind A.
Zonderman, Alan B.
Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach
title Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach
title_full Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach
title_fullStr Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach
title_full_unstemmed Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach
title_short Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach
title_sort helicobacter pylori seropositivity’s association with markers of iron, 1-carbon metabolism, and antioxidant status among us adults: a structural equations modeling approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376857/
https://www.ncbi.nlm.nih.gov/pubmed/25815731
http://dx.doi.org/10.1371/journal.pone.0121390
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