Evidence map›Paper›PMID 33109272›Full record

ArticleGenome medicine2020

Microbial signature in IgE-mediated food allergies.

Michael R Goldberg, Hadar Mor, Dafna Magid Neriya, Faiga Magzal, Efrat Muller, Michael Y Appel, Liat Nachshon, Elhanan Borenstein, Snait Tamir, Yoram Louzoun and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 pooled it
4.9field-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.

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

79 citing papers in PubMed, 3 syntheses or guidelines pooled it, 127 citations in OpenAlex.

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  8. Preventive effect of heat-killed Lactiplantibacillus plantarum FM8 in an ovalbumin-induced food allergy murine model.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2026
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  15. Clinical Proteomics Applied to Food Allergy.Advances in experimental medicine and biology · 2026
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19 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 2 countries.

Michael R GoldbergYitzhak Shamir Medical Center (Assaf Harofeh), Zerifin, Israel.
Hadar MorThe Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel.
Dafna Magid NeriyaThe Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.
Faiga MagzalMIGAL-Galilee Research Institute, Kiryat Shmona, Israel.
Efrat MullerThe Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Michael Y AppelYitzhak Shamir Medical Center (Assaf Harofeh), Zerifin, Israel.
Liat NachshonYitzhak Shamir Medical Center (Assaf Harofeh), Zerifin, Israel.
Elhanan BorensteinThe Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Snait TamirMIGAL-Galilee Research Institute, Kiryat Shmona, Israel.
Yoram LouzounDepartment of Mathematics, Bar-Ilan University, Ramat-Gan, Israel.
Ilan YoungsterYitzhak Shamir Medical Center (Assaf Harofeh), Zerifin, Israel.
Arnon ElizurYitzhak Shamir Medical Center (Assaf Harofeh), Zerifin, Israel.
Omry KorenThe Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel. omry.koren@biu.ac.il.ORCID 0000-0002-7738-1337
Tel Aviv University · ILBar-Ilan University · ILMigal - Galilee Technology Center · ILAssaf Harofeh Medical Center · ILSanta Fe Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple studies suggest a key role for gut microbiota in IgE-mediated food allergy (FA) development, but to date, none has studied it in the persistent state.

methodsTo characterize the gut microbiota composition and short-chain fatty acid (SCFAs) profiles associated with major food allergy groups, we recruited 233 patients with FA including milk (N = 66), sesame (N = 38), peanut (N = 71), and tree nuts (N = 58), and non-allergic controls (N = 58). DNA was isolated from fecal samples, and 16S rRNA gene sequences were analyzed. SCFAs in stool were analyzed from patients with a single allergy (N = 84) and controls (N = 31).

resultsThe gut microbiota composition of allergic patients was significantly different compared to age-matched controls both in α-diversity and β-diversity. Distinct microbial signatures were noted for FA to different foods. Prevotella copri (P. copri) was the most overrepresented species in non-allergic controls. SCFAs levels were significantly higher in the non-allergic compared to the FA groups, whereas P. copri significantly correlated with all three SCFAs. We used these microbial differences to distinguish between FA patients and non-allergic healthy controls with an area under the curve of 0.90, and for the classification of FA patients according to their FA types using a supervised learning algorithm. Bacteroides and P. copri were identified as taxa potentially contributing to KEGG acetate-related pathways enriched in non-allergic compared to FA. In addition, overall pathway dissimilarities were found among different FAs.

conclusionsOur results demonstrate a link between IgE-mediated FA and the composition and metabolic activity of the gut microbiota.

Indexed as

Disease SusceptibilityMicrobiotaAgedAged, 80 and overBiomarkersFatty Acids, VolatileFemaleFood HypersensitivityGastrointestinal MicrobiomeHumansImmunoglobulin EMachine LearningMaleMiddle AgedProbioticsRNA, Ribosomal, 16SBiomarkersFatty Acids, VolatileImmunoglobulin ERNA, Ribosomal, 16SFood allergyMicrobiotaP. copriPostbioticsPrebioticsSCFASupervised learning

Identifiers

PMID33109272
PMCPMC7592384
OpenAlexW3097593562

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.