Evidence map›Paper›PMID 33329569›Full record

ReviewFrontiers in immunology2020

Precision Nutrition in Chronic Inflammation.

Tobias J Demetrowitsch, Kristina Schlicht, Carina Knappe, Johannes Zimmermann, Julia Jensen-Kroll, Alina Pisarevskaja, Fynn Brix, Juliane Brandes, Corinna Geisler, Georgios Marinos and 7 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 28 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 2 institutions in 2 countries.

Tobias J DemetrowitschDivision of Food Technology, Institute of Human Nutrition and Food Science, Kiel University, Kiel, Germany.
Kristina SchlichtDivision of Endocrinology, Diabetes and Clinical Nutrition, Department of Medicine 1, Kiel University, Kiel, Germany.
Carina KnappeDivision of Endocrinology, Diabetes and Clinical Nutrition, Department of Medicine 1, Kiel University, Kiel, Germany.
Johannes ZimmermannResearch Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University, Kiel, Germany.
Julia Jensen-KrollDivision of Food Technology, Institute of Human Nutrition and Food Science, Kiel University, Kiel, Germany.
Alina PisarevskajaDivision of Food Technology, Institute of Human Nutrition and Food Science, Kiel University, Kiel, Germany.
Fynn BrixDivision of Food Technology, Institute of Human Nutrition and Food Science, Kiel University, Kiel, Germany.
Juliane BrandesDivision of Endocrinology, Diabetes and Clinical Nutrition, Department of Medicine 1, Kiel University, Kiel, Germany.
Corinna GeislerDivision of Endocrinology, Diabetes and Clinical Nutrition, Department of Medicine 1, Kiel University, Kiel, Germany.
Georgios MarinosResearch Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University, Kiel, Germany.
Felix SommerInstitute of Clinical Molecular Biology (IKMB), Kiel University, Kiel, Germany.
Dominik M SchulteDivision of Endocrinology, Diabetes and Clinical Nutrition, Department of Medicine 1, Kiel University, Kiel, Germany.
Christoph KaletaResearch Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University, Kiel, Germany.
Vibeke AndersenInstitute of Regional Research, University of Southern Denmark, Odense, Denmark.
Matthias LaudesDivision of Endocrinology, Diabetes and Clinical Nutrition, Department of Medicine 1, Kiel University, Kiel, Germany.
Karin SchwarzDivision of Food Technology, Institute of Human Nutrition and Food Science, Kiel University, Kiel, Germany.
Silvio WaschinaDivision of Nutriinformatics, Institute of Human Nutrition and Food Science, Kiel University, Kiel, Germany.
Kiel University · DEUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular foundation of chronic inflammatory diseases (CIDs) can differ markedly between individuals. As our understanding of the biochemical mechanisms underlying individual disease manifestations and progressions expands, new strategies to adjust treatments to the patient's characteristics will continue to profoundly transform clinical practice. Nutrition has long been recognized as an important determinant of inflammatory disease phenotypes and treatment response. Yet empirical work demonstrating the therapeutic effectiveness of patient-tailored nutrition remains scarce. This is mainly due to the challenges presented by long-term effects of nutrition, variations in inter-individual gastrointestinal microbiota, the multiplicity of human metabolic pathways potentially affected by food ingredients, nutrition behavior, and the complexity of food composition. Historically, these challenges have been addressed in both human studies and experimental model laboratory studies primarily by using individual nutrition data collection in tandem with large-scale biomolecular data acquisition (e.g. genomics, metabolomics, etc.). This review highlights recent findings in the field of precision nutrition and their potential implications for the development of personalized treatment strategies for CIDs. It emphasizes the importance of computational approaches to integrate nutritional information into multi-omics data analysis and to predict which molecular mechanisms may explain how nutrients intersect with disease pathways. We conclude that recent findings point towards the unexhausted potential of nutrition as part of personalized medicine in chronic inflammation.

Indexed as

Nutrition TherapyPrecision MedicineAnimalsBiomarkersChronic DiseaseHumansInflammationBiomarkerschronic diseasesdietary interventiondisease preventioninflammationmicrobiotanutritionpersonalized medicineprecision nutrition

Identifiers

PMID33329569
PMCPMC7719806
OpenAlexW3109368512

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.