Skip to content
#protein folding Open access

Evaluation of serum soluble triggering receptor expressed on myeloid cells-1 in polycystic ovary syndrome

Sep 2026 · Revista da Associação Médica Brasileira · Vol 72 · 0 citations · 26 references

TL;DR

Soluble triggering receptor expressed on myeloid cells-1 may serve as an indicator of the chronic inflammatory process in polycystic ovary syndrome and could be a complementary marker rather than a diagnostic marker for polycystic ovary syndrome.

Abstract

SUMMARY

Objective

This study aims to investigate the clinical significance of serum soluble triggering receptor expressed on myeloid cells-1 levels in patients with polycystic ovary syndrome.

Methods

This case-control study included 40 women with polycystic ovary syndrome and 40 healthy control women. Serum soluble triggering receptor expressed on myeloid cells-1 and high-sensitive C-reactive protein levels were measured via commercially available enzyme-linked immunosorbent assay, according to the manufacturer's instructions.

Results

Soluble triggering receptor expressed on myeloid cells-1 levels were statistically significantly higher in women with polycystic ovary syndrome than controls (p<0.001). In the logistic regression analysis, an increase in serum soluble triggering receptor expressed on myeloid cells-1 level demonstrated a significant association with polycystic ovary syndrome diagnosis (p=0.011). In the receiver operating characteristic curve analysis, the area under the curve (AUC) for soluble triggering receptor expressed on myeloid cells-1 was found to be 0.800 (p<0.001). Setting the cut-off value at 45.22 pg/mL, soluble triggering receptor expressed on myeloid cells-1 demonstrated a sensitivity of 87.5% and a specificity of 65.0%. In the logistic regression analysis that incorporated homeostatic model assessment for insulin resistance, anti-müllerian hormone, and soluble triggering receptor expressed on myeloid cells-1, a 1 pg/mL rise in soluble triggering receptor expressed on myeloid cells-1 was associated with a 1.07-fold increase in the odds of polycystic ovary syndrome, a 3.10-fold increase in the odds due to a 1-point rise in homeostatic model assessment for insulin resistance, and a 3.24-fold increase in the odds for every 1 ng/mL rise in anti-müllerian hormone. The model incorporating anti-müllerian hormone, homeostatic model assessment for insulin resistance, and soluble triggering receptor expressed on myeloid cells-1 predicted polycystic ovary syndrome with 83.8% accuracy, 90.0% specificity, and 77.5% sensitivity.

Conclusion

Soluble triggering receptor expressed on myeloid cells-1 may serve as an indicator of the chronic inflammatory process in polycystic ovary syndrome and could be a complementary marker rather than a diagnostic marker for polycystic ovary syndrome.

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.