Skip to content
#protein folding Review Open access

Role of serum amyloid A in Mycoplasma pneumoniae pneumonia and related respiratory diseases

Sep 2026 · Frontiers in Pediatrics · 0 citations · 93 references
Amyloidosis: Diagnosis, Treatment, Outcomes

Abstract

Serum amyloid A (SAA) is an acute-phase protein that can increase in plasma concentration by up to 1000-fold during infection and inflammation. Clinical studies have identified significantly elevated SAA levels in Mycoplasma pneumoniae pneumonia (MPP), correlating with disease severity, lung injury, and prognosis. Emerging evidence indicates that SAA is not merely a passive inflammatory biomarker but an active contributor to MPP pathogenesis, which engages receptors such as formyl peptide receptor 2 (FPR2), Toll-like receptor 2 (TLR2), Toll-like receptor 4 (TLR4), and the receptor for advanced glycation end products (RAGE) to intensify the inflammatory response. The proposed Community-Acquired Respiratory Distress Syndrome (CARDS) toxin-NLR family pyrin domain containing 3 (NLRP3)-Interleukin-1 β (IL-1 β )-SAA amplification loop synthesizes evidence from disparate experimental systems into a coherent mechanistic hypothesis; however, this pathway has not been experimentally verified in a single integrated model, and each component has been demonstrated independently rather than as a functional loop. SAA has demonstrated diagnostic and predictive value in MPP, with reported area under the curve(AUC) values of 0.942 for MPP diagnosis and 0.735 -0.872 for predicting refractory MPP(RMPP) across studies with variable designs; however, detailed performance metrics, including 95% confidence intervals (CIs), study populations, and sample sizes are limited by inconsistent reporting in the source literature. SAA is induced within 4–6 hours post-infection, more rapidly than C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL-6); however, its limited specificity requires interpretation alongside clinical findings and other biomarkers. Moreover, SAA plays context-dependent roles in various pulmonary diseases, such as chronic airway diseases, interstitial lung diseases, acute infectious pneumonias, and acute lung injury. The dual nature of SAA—protective at low levels but pathogenic when persistently elevated—presents a therapeutic challenge: balancing acute-phase host defense with the prevention of chronic inflammatory damage. This review consolidates current knowledge on SAA structural biology, high-density lipoprotein (HDL)-associated regulation, receptor-mediated signaling, and clinical applications in MPP. It also examines SAA roles across pulmonary diseases, cellular sources, mechanisms of action, and emerging therapeutic strategies targeting SAA-mediated pathways.

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 sequence constraints.

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

Related blog posts

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.

Google DeepMind Blog Nov 25, 2025

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

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