# Diagnostic accuracy of anti-integrin αvβ6 in ulcerative colitis: a diagnostic meta-analysis

**Authors:** Mudasar Nisar, Abdul Rafeh Awan, Abdullah Ahmad, Hira Saleem, Meher Ayyazuddin, Rabia Javed, Ali Raza Khan, Muhammad Ahmad Nadeem, Maryam Abbas Malik, Amir Humza Sohail, Abu Baker Sheikh

PMC · DOI: 10.1007/s00535-025-02319-8 · Journal of Gastroenterology · 2025-11-13

## TL;DR

This study finds that anti-integrin αvβ6 antibodies are highly accurate in diagnosing ulcerative colitis, though their performance depends on patient age, geographic region, and control group type.

## Contribution

The study provides the first meta-analysis evaluating the diagnostic accuracy of anti-integrin αvβ6 antibodies for ulcerative colitis.

## Key findings

- Anti-integrin αvβ6 antibodies showed pooled sensitivity of 83% and specificity of 93% for diagnosing ulcerative colitis.
- Specificity varied significantly when Crohn’s disease was used as a comparator.
- Patient age, geographic region, and control group type significantly influenced diagnostic performance.

## Abstract

Ulcerative colitis (UC) presents with diagnostic challenges due to symptom overlap with other gastrointestinal (GI) disorders. Recent studies identify anti-integrin αvβ6 autoantibodies as a promising biomarker for UC. This meta-analysis aims to evaluate the diagnostic accuracy of anti-integrin αvβ6 antibodies in distinguishing UC from healthy individuals and other GI diseases.

We conducted a systematic literature search of PubMed, Scopus, and Embase up to February, 2025, following PRISMA guidelines. Studies assessing the diagnostic performance of anti-integrin αvβ6 antibodies in UC patients were included. A bivariate random-effects model was used to pool sensitivity and specificity estimates using STATA. Forest plots and SROC curves were generated. Meta-regression and interaction analyses explored the influence of covariates such as control group type, age group, and geographic region on diagnostic performance. Risk of bias was assessed using tool QUADAS-2. Post hoc analyses were conducted to assess the impact of cut-off thresholds and ELISA platforms on the diagnostic performance of anti-integrin αvβ6 antibodies.

Six studies comprising 3887 participants (1904 UC patients) were included in meta-analysis. The pooled sensitivity and specificity of anti-integrin αvβ6 for UC across all comparator groups were 83% (95% CI: 0.70–0.91) and 93% (95% CI: 0.88–0.97), respectively. Diagnostic performance remained consistent across control types for sensitivity but varied significantly for specificity, especially when Crohn’s disease was used as a comparator (81%; 95% CI: 0.75–0.86). Multivariate meta-regression identified patient age, geographic region, and control group type as significant modifiers of specificity. Interaction models further confirmed a combined influence of these factors on diagnostic performance. Post hoc analyses revealed that sensitivity remained stable across thresholds (2SD: 0.65, 3SD: 0.87), while specificity varied significantly depending on cut-off values (2SD: 0.89, 3SD: 0.92) and ELISA methodology (0.92 vs. 0.83).

Our meta-analysis demonstrates that anti-integrin αvβ6 antibodies exhibit high diagnostic accuracy for UC, with consistent sensitivity and specificity. Their performance is influenced by patient demographics and study region, suggesting the need for tailored diagnostic criteria in clinical settings.

The online version contains supplementary material available at 10.1007/s00535-025-02319-8.

## Linked entities

- **Diseases:** ulcerative colitis (MONDO:0005101), Crohn’s disease (MONDO:0005011)

## Full-text entities

- **Diseases:** Crohn's disease (MESH:D003424), UC (MESH:D003093), GI diseases (MESH:D005767)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12791060/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12791060/full.md

## References

2 references — full list in the complete paper: https://tomesphere.com/paper/PMC12791060/full.md

---
Source: https://tomesphere.com/paper/PMC12791060