Skip to content
#protein folding Review Open access

Cross-kingdom RNA interference in the dysbiosis-mediated network of vocal fold fibrosis: a pathogenic hypothesis and molecular intervention targets

Sep 2026 · Frontiers in Immunology · 0 citations · 84 references
Voice and Speech Disorders

Abstract

Vocal fold fibrosis is the principal pathological basis of intractable voice disorders. Previous etiological models have attributed vocal fold scarring solely to mechanical trauma and chemical irritation, whereas the local mucosal microbiota of the vocal folds and its cross-kingdom regulation of host gene expression have long received little attention. Integrating interdisciplinary advances, this review proposes a cross-kingdom pathogenic hypothesis: phonotrauma induces laryngeal dysbiosis and disassembly of the vocal fold epithelial tight junctions, and opportunistic pathogens under stress release outer membrane vesicles (OMVs) enriched in bacterial small RNAs (bsRNAs). These nanoscale carriers traverse the damaged mucosal barrier and infiltrate the vocal fold lamina propria; the bsRNAs they carry are recognized through sequence complementarity by host Argonaute proteins and loaded into the RNA-induced silencing complex (RISC), post-transcriptionally silencing Smad7, a key negative regulator of the transforming growth factor-β (TGF-β) signaling pathway, in vocal fold fibroblasts. Post-transcriptional silencing of Smad7 releases the TGF-β/Smad3 pro-fibrotic signaling axis from negative-feedback inhibition, driving the transition of fibroblasts into myofibroblasts and inducing excessive deposition of dense collagen. In parallel, pathogen-associated molecular patterns such as lipopolysaccharide on the OMV surface activate the Toll-like receptor 4 (TLR4)/NF-κB pathway in resident macrophages of the lamina propria; the released pro-inflammatory cytokines and the cross-kingdom RNA interference within fibroblasts reinforce each other, propelling tissue repair toward a terminal fibrotic state. The resulting “mechanical trauma–dysbiosis–cross-kingdom RNA interference–immune activation” network may explain fibrotic progression maintained by persistent laryngeal dysbiosis after the initiating mechanical injury has resolved, and points to new directions for anti-fibrotic strategies based on microbiota modulation and RNA targeting.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.