Evidence map›Paper›PMID 37027187›Full record

ArticleJMIR research protocols2023

Assessment of Energy and Nutrient Intake and the Intestinal Microbiome (ErNst Study): Protocol and Methods of a Cross-sectional Human Observational Study.

Andreas Dötsch, Benedikt Merz, Sandrine Louis, Carolin Krems, Maria Herrmann, Claudia Dörr, Bernhard Watzl, Achim Bub, Andrea Straßburg, Ann Katrin Engelbert

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
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

10 authors at 1 institution in 1 country.

Andreas DötschDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0001-9086-2584
Benedikt MerzDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0002-6856-3390
Sandrine LouisDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0002-9770-9539
Carolin KremsDepartment of Nutritional Behaviour, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0002-5028-4027
Maria HerrmannDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0001-8757-6085
Claudia DörrDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0003-2974-7119
Bernhard WatzlDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0003-0762-7423
Achim BubDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0001-6907-5519
Andrea Straßburg *Department of Nutritional Behaviour, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0002-3432-2345
Ann Katrin Engelbert *Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut-Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.ORCID https://orcid.org/0000-0002-9716-150X
Max Rubner Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn the national level, nutritional monitoring requires the assessment of reliable representative dietary intake data. To achieve this, standardized tools need to be developed, validated, and kept up-to-date with recent developments in food products and the nutritional behavior of the population. Recently, the human intestinal microbiome has been identified as an essential mediator between nutrition and host health. Despite growing interest in this connection, only a few associations between the microbiome, nutrition, and health have been clearly established. Available studies paint an inconsistent picture, partly due to a lack of standardization.

objectiveFirst, we aim to verify if food consumption, as well as energy and nutrient intake of the German population, can be recorded validly by means of the dietary recall software GloboDiet, which will be applied in the German National Nutrition Monitoring. Second, we aim to obtain high-quality data using standard methods on the microbiome, combined with dietary intake data and additional fecal sample material, and to also assess the functional activity of the microbiome by measuring microbial metabolites.

methodsHealthy female and male participants aged between 18 and 79 years were recruited. Anthropometric measurements included body height and weight, BMI, and bioelectrical impedance analysis. For validation of the GloboDiet software, current food consumption was assessed with a 24-hour recall. Nitrogen and potassium concentrations were measured from 24-hour urine collections to enable comparison with the intake of protein and potassium estimated by the GloboDiet software. Physical activity was measured over at least 24 hours using a wearable accelerometer to validate the estimated energy intake. Stool samples were collected in duplicate for a single time point and used for DNA isolation and subsequent amplification and sequencing of the 16S rRNA gene to determine microbiome composition. For the identification of associations between nutrition and the microbiome, the habitual diet was determined using a food frequency questionnaire covering 30 days.

resultsIn total, 117 participants met the inclusion criteria. The study population was equally distributed between the sexes and 3 age groups (18-39, 40-59, and 60-79 years). Stool samples accompanying habitual diet data (30-day food frequency questionnaire) are available for 106 participants. Current diet data and 24-hour urine samples for the validation of GloboDiet are available for 109 participants, of which 82 cases also include physical activity data.

conclusionsWe completed the recruitment and sample collection of the ErNst study with a high degree of standardization. Samples and data will be used to validate the GloboDiet software for the German National Nutrition Monitoring and to compare microbiome composition and nutritional patterns.

trial registrationGerman Register of Clinical Studies DRKS00015216; https://drks.de/search/de/trial/DRKS00015216. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42529.

Indexed as

24-hour recallassessmentbehaviorbiomarkersdietdietary assessmentfoodhuman intestinal microbiomehuman observational studynutrient intakenutritionvalidity

Identifiers

PMID37027187
PMCPMC10131588
OpenAlexW4321360144

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.