# Insulin Resistance in Systemic Sclerosis: Decoding Its Association with Severe Clinical Phenotype

**Authors:** Eugenio Capparelli, Luca Clerici, Giusy Cinzia Moltisanti, Francesco Lapia, Eleonora Zaccara, Francesca Capelli, Daniela Bompane, Maria Sole Chimenti, Sergio Finazzi, Paola Maria Luigia Faggioli, Antonino Mazzone

PMC · DOI: 10.3390/jcm15020774 · 2026-01-17

## TL;DR

This study finds that insulin resistance in systemic sclerosis is linked to more severe disease features like lung disease and skin involvement.

## Contribution

The study identifies specific clinical associations of insulin resistance in systemic sclerosis patients.

## Key findings

- Insulin resistance is associated with interstitial lung disease and diffuse cutaneous subset in SSc.
- Patients with insulin resistance show higher prevalence of digital ulcers and musculoskeletal symptoms.
- BMI and interstitial lung disease are independent predictors of insulin resistance in SSc.

## Abstract

Background/Objectives: Insulin resistance (IR) is a relevant metabolic concern in patients with rheumatic diseases; however, data regarding its clinical influence on the systemic sclerosis (SSc) phenotype is lacking. This study aimed to evaluate the characteristics of patients exhibiting IR in a monocentric SSc cohort. Methods: We conducted a cross-sectional study on 178 SSc patients, stratified according to the presence of IR, defined as a HOMA-IR value >1.85 for men and >2.07 for women, based on thresholds previously validated in the Estudio Epidemiológico de la Insuficiencia Renal en España (EPIRCE) cross-sectional study. The rationale for applying the current cut-offs is based on its discriminative potential when using sex- and age-specific thresholds in a nondiabetic population. This approach is particularly applicable to SSc, where the prevalence of diabetes is very low and the median ages of the two cohorts are comparable. Data collected included demographic-, clinical-, laboratory-, pulmonary function-, capillaroscopic-, and treatment-related parameters. A multivariable logistic regression model was used to identify independent predictors of IR. Results: Patients with IR (n = 76) had a significantly higher prevalence of diffuse cutaneous subset (26.3% vs. 11.8%, p = 0.012) and interstitial lung disease (39.5% vs. 17.6%, p = 0.001), along with the positivity for anti-Scl70 antibodies and the current presence of musculoskeletal symptoms (p = 0.021) and digital ulcers (p = 0.037). As expected, body mass index (BMI) was significantly higher in the IR population (24.6 ± 5.2 vs. 22.9 ± 4.1, p = 0.012), along with fasting glucose, insulin, HOMA-IR, and HbA1c levels. IR patients exhibited higher percentages of dyslipidemia and liver steatosis. Medications such as hydroxychloroquine, statins, and Iloprost were more frequently used in the IR group; as for corticosteroids usage (21.1% vs. 5.9%, p = 0.002), however, cumulative glucocorticoid dosage did not differ between the groups. In multivariable analysis, BMI (OR 1.09; p = 0.038) and interstitial lung disease (ILD) (OR 3.03; p = 0.034) were independent predictors of IR. Conclusions: In SSc, IR is associated with ILD, digital ulcers, musculoskeletal involvement, and anti-Scl70 autoantibodies.

## Linked entities

- **Diseases:** systemic sclerosis (MONDO:0005100), interstitial lung disease (MONDO:0015925)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** SSc (MESH:D012595), ILD (MESH:D017563), musculoskeletal involvement (MESH:D009140), liver steatosis (MESH:D005234), dyslipidemia (MESH:D050171), rheumatic diseases (MESH:D012216), digital ulcers (MESH:C000721267), diabetes (MESH:D003920), IR (MESH:D007333)
- **Chemicals:** glucose (MESH:D005947), hydroxychloroquine (MESH:D006886), Iloprost (MESH:D016285)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12842042/full.md

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Source: https://tomesphere.com/paper/PMC12842042