Evidence map›Paper›PMID 35285859›Full record

Observational studyThe American journal of clinical nutrition2022

Blood pressure interactions with the DASH dietary pattern, sodium, and potassium: The International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP).

Queenie Chan, Gina M Wren, Chung-Ho E Lau, Timothy M D Ebbels, Rachel Gibson, Ruey Leng Loo, Ghadeer S Aljuraiban, Joram M Posma, Alan R Dyer, Lyn M Steffen and 7 more

Registry-linked trialOpen access · greenAbstract readObservational Study
In one paragraph

Observational study in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00005271 (INTERMAP), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00005271 completednot on this map

INTERMAP: International Population Study on Macronutrients and BP

TypeobservationalSponsorNorthwestern UniversityRan1995 to 2015Enrolled4,680ConditionsCardiovascular Diseases, Heart Diseases, Hypertension
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 4 countries.

Queenie ChanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-9278-230X
Gina M WrenSection of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Chung-Ho E LauDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Timothy M D EbbelsSection of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Rachel GibsonDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-5823-6468
Ruey Leng LooAustralian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia.ORCID 0000-0001-5307-5709
Ghadeer S AljuraibanDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Joram M PosmaSection of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Alan R DyerDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID 0000-0002-8332-9981
Lyn M SteffenDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-4053-6729
Beatriz L RodriguezDepartment of Geriatric Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Lawrence J AppelWelch Center for Prevention, Epidemiology and Clinical Research; Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-0673-6823
Martha L DaviglusInstitute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0002-6791-8727
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-7511-5684
Jeremiah StamlerDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Elaine HolmesSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Linda Van HornDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID 0000-0002-1362-5806
Imperial College London · GBNorthwestern University · USMurdoch University · AUJohns Hopkins University · USKing Saud University · SAKing's College London · GBUniversity of Hawaiʻi at Mānoa · USUniversity of Illinois Chicago · USUniversity of Minnesota · US

Funding

Metabolic Pathways Underlying the Contrasting Sodium-BP and DASH/OmniHeart-BP RelationshipsR01HL135486 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DAVIGLUS, MARTHA L, ELLIOTT, PAUL · 2017 to 2020
$2.6M
Medical Research Council MR/S004033/1NHLBI NIH HHS R01 HL135486
6 · The paper itself

Abstract

backgroundAdherence to the Dietary Approaches to Stop Hypertension (DASH) diet enhances potassium intake and reduces sodium intake and blood pressure (BP), but the underlying metabolic pathways are unclear.

objectivesAmong free-living populations, we delineated metabolic signatures associated with the DASH diet adherence, 24-hour urinary sodium and potassium excretions, and the potential metabolic pathways involved.

methodsWe used 24-hour urinary metabolic profiling by proton nuclear magnetic resonance spectroscopy to characterize the metabolic signatures associated with the DASH dietary pattern score (DASH score) and 24-hour excretion of sodium and potassium among participants in the United States (n = 2164) and United Kingdom (n = 496) enrolled in the International Study of Macro- and Micronutrients and Blood Pressure (INTERMAP). Multiple linear regression and cross-tabulation analyses were used to investigate the DASH-BP relation and its modulation by sodium and potassium. Potential pathways associated with DASH adherence, sodium and potassium excretion, and BP were identified using mediation analyses and metabolic reaction networks.

resultsAdherence to the DASH diet was associated with urinary potassium excretion (correlation coefficient, r = 0.42; P < 0.0001). In multivariable regression analyses, a 5-point higher DASH score (range, 7 to 35) was associated with a lower systolic BP by 1.35 mmHg (95% CI, -1.95 to -0.80 mmHg; P = 1.2 × 10-5); control of the model for potassium but not sodium attenuated the DASH-BP relation. Two common metabolites (hippurate and citrate) mediated the potassium-BP and DASH-BP relationships, while 5 metabolites (succinate, alanine, S-methyl cysteine sulfoxide, 4-hydroxyhippurate, and phenylacetylglutamine) were found to be specific to the DASH-BP relation.

conclusionsGreater adherence to the DASH diet is associated with lower BP and higher potassium intake across levels of sodium intake. The DASH diet recommends greater intake of fruits, vegetables, and other potassium-rich foods that may replace sodium-rich processed foods and thereby influence BP through overlapping metabolic pathways. Possible DASH-specific pathways are speculated but confirmation requires further study. INTERMAP is registered as NCT00005271 at www.clinicaltrials.gov.

Indexed as

Dietary Approaches To Stop HypertensionHypertensionSodium, DietaryBlood PressureHumansMicronutrientsPotassiumSodiumMicronutrientsPotassiumSodiumSodium, Dietary24-hour dietary recallsbiomarkersblood pressureDASH dietary patternhypertensionmetabolic pathwayspotassiumsodiumurinary metabolites

Identifiers

PMID35285859
PMCPMC9257466
OpenAlexW4220702154

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.