Evidence map›Paper›PMID 39322808›Full record

ArticleDigestive diseases and sciences2024

ZIP8 A391T Crohn's Disease-Linked Risk Variant Induces Colonic Metal Ion Dyshomeostasis, Microbiome Compositional Shifts, and Inflammation.

Julianne C Yang, Matthew Zhao, Diana Chernikova, Nerea Arias-Jayo, Yi Zhou, Jamilla Situ, Arjun Gutta, Candace Chang, Fengting Liang, Venu Lagishetty and 1 more

Abstract read
In one paragraph

Article in Digestive diseases and sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Metal Transporter GeneNutrients · 2025
    Article
  5. Review
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

11 authors.

Julianne C YangThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Matthew ZhaoThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Diana ChernikovaThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Nerea Arias-JayoThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Yi ZhouThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Jamilla SituThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Arjun GuttaThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Candace ChangThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Fengting LiangThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Venu LagishettyThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Jonathan P JacobsThe Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA. jjacobs@mednet.ucla.edu.

Funding

Modulation of the Intestinal Microbiome in Obesity by a High Protein DietIK2CX001717 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI JACOBS, JONATHAN PATRICK · 2018 to 2023
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CSRD VA IK2 CX001717UCLA Children's Discovery and Innovation Institute Fellows Research Support AwardU.S. Department of Veterans Affairs CDA2 IK2CX001717
6 · The paper itself

Abstract

backgroundThe pathogenesis of Crohn's disease involves genetic and environmental factors, with the gut microbiome playing a crucial role. The Crohn's disease-associated variant rs13107325 in the SLC39A8 gene results in an A391T substitution in the ZIP8 metal ion transporter and has previously been linked to alterations in the colonic microbiome in variant carriers. We hypothesized that the A391T substitution alters metal ion homeostasis in the colonic mucosal-luminal interface, thereby inducing dysbiosis which may promote intestinal inflammation.

methodsTo evaluate this hypothesis, we generated a SLC39A8 A393T mouse model (matching human A391T). We first examined trace element abundance in the colonic mucosal epithelium and lumen of homozygous A393T and wild-type (WT) mice to determine if the variant affected metal distribution. We also performed 16S rRNA gene sequencing on colon samples at 2 months, 3-4 months, and 12 months of age, and conducted histological scoring of colon tissue collected from 5-month and 10-month old mice.

resultsConsistent with an effect of the variant on ZIP8 function, homozygous A393T mice exhibited increased cobalt in the colonic mucosa, but reduced iron, zinc, manganese, cobalt, copper, and cadmium in the colonic lumen. 16S rRNA gene sequencing of colon samples revealed variant-linked effects on microbiome beta diversity in 2-month-, 3-4-month-, and 12-month-old mice. Histological scoring showed spontaneous intestinal inflammation in 10-month but not in 5-month-old mice. Lastly, predicted pathway analysis of the microbiome samples revealed differential enrichment of iron-, zinc-, and cobalt-dependent pathways in A393T mice compared to wild-type controls.

conclusionThese results suggest that the variant in SLC39A8 primarily restricts metal availability to the microbiota, resulting in compositions that can adapt to the environment and that A393T-linked dysbiosis occurs prior to the onset of inflammation. This study paves the way for future studies investigating risk variants as microbiome-disease modifiers.

Indexed as

Cation Transport ProteinsColonCrohn DiseaseGastrointestinal MicrobiomeHomeostasisAnimalsDisease Models, AnimalDysbiosisHumansInflammationIntestinal MucosaMiceRNA, Ribosomal, 16SCation Transport ProteinsRNA, Ribosomal, 16SSlc39a8 protein, mouseCrohn’s diseaseGene-environmentMicrobiomeMucosal-luminal interfaceTrace metals

Identifiers

PMID39322808
PMCPMC11489278

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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.