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Systemic Inflammation and the Inflammatory Context of the Colonic Microenvironment Are Improved by Urolithin A

2025· article· en· W4407928267 on OpenAlex
Marmar R. Moussa, Nuoxi Fan, John Birk, Anthony A. Provatas, Pratik Mehta, Yuichiro Hatano, Ock K. Chun, Manije Darooghegi Mofrad, Ali Lotfi, Alexander A. Aksenov, Vinicius N. Motta, Maryam Zenali, Haleh Vaziri, James J. Grady, Masako Nakanishi, Daniel W. Rosenberg

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer Prevention Research · 2025
Typearticle
Languageen
FieldNursing
TopicPomegranate: compositions and health benefits
Canadian institutionsCanadian Standards AssociationIntegrity Testing Laboratory (Canada)
FundersNational Cancer InstituteAmerican Institute for Cancer ResearchCalifornia Walnut CommissionNational Science Foundation
KeywordsEllagic acidContext (archaeology)InflammationCancerPopulationMedicineImmunologyCancer researchPolyphenolBiologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Diet affects cancer risk, and plant-derived polyphenols exhibit cancer-preventive properties. Walnuts are an exceptional source of polyphenolic ellagitannins, converted into urolithins by gut microflora. This clinical study examines the impact of urolithin metabolism on inflammatory markers in blood and colon polyp tissue. We evaluate the effects of walnut consumption on urinary urolithins, serum inflammatory markers, and immune cell markers in polyp tissues obtained from 39 subjects. Together with detailed food frequency data, we perform integrated computational analysis of metabolomic data combined with serum inflammatory markers and spatial imaging of polyp tissues using imaging mass cytometry. LC/MS-MS analyses of urine and fecal samples identify a widely divergent capacity to form nine urolithin metabolites in this patient population. Subjects with higher urolithin A formation exhibit lower levels of several key serologic inflammatory markers, including C-peptide, soluble form of intracellular adhesion molecule 1, sIL-6R, ghrelin, TRAIL, sVEGFR2, platelet-derived growth factor (PDGF), and MCP-2, alterations that are more pronounced in obese individuals for soluble form of intracellular adhesion molecule 1, epithelial neutrophil-activating peptide 78, leptin, glucagon-like peptide 1, and macrophage inflammatory protein 1δ. There is a significant increase in levels of peptide YY associated with urolithin A formation, whereas TNFα levels show an opposite trend, recapitulated in an in vitro system with ionomycin/phorbol 12-myristate 13-acetate-stimulated peripheral blood mononuclear cells (PBMC). Spatial imaging of colon polyp tissues shows altered cell cluster patterns, including a significant reduction of vimentin and CD163 expression associated with urolithin A. The ability to form urolithin A is linked to inflammation, warranting further studies to understand the role of urolithins in cancer prevention. Prevention Relevance: We evaluate cancer-protective effects of walnuts via formation of microbe-derived urolithin A, substantiating their functional benefits on serum inflammatory markers and immunologic composition of polyps in normal/obese subjects. Our approach incorporates personalized nutrition within the context of colonic health, providing the rationale for dietary inclusion of walnut ellagitannins for cancer prevention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.346
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it