Biology subjects

Mongin, D.

Publications and source records attributed to Mongin, D..

3 recordsLinked to original sources

bioRxiv2026

Serum Calprotectin as predictor of Rheumatoid Arthritis disease severity and Mortality

Objective: To evaluate the clinical utility of serum calprotectin (sCAL) as a biomarker of disease activity, disease severity, cardiovascular risk, and mortality in inflammatory rheumatic diseases (IRDs). Methods: Serum calprotectin was measured in 2677 patients with IRDs, including 1472 rheumatoid arthritis (RA), 771 axial spondyloarthritis (axSpA), and 434 psoriatic arthritis (PsA) patients enrolled in the Swiss Clinical Quality Management in Rheumatic Diseases registry, as well as 248 healthy blood donors. Associations with disease activity, radiographic progression, cardiovascular biomarkers, incident major adverse cardiovascular events (MACE), and mortality were evaluated using receiver operating characteristic, Cox regression, and Kaplan-Meier models. Results: sCAL concentrations were significantly higher in RA than in axSpA, PsA, or healthy blood donors. Although diagnostic discrimination between IRDs was modest (Area under the curve (AUC): 0.56), elevated sCAL identified a subset of patients with RA characterized by higher disease activity, higher autoantibody levels, and accelerated radiographic progression, performing better than CRP for the assessment of inflammatory activity, particularly for the discrimination of active synovitis (SJC28[≥]4, AUC 0.67 vs 0.62, p=0.012), even in patients with normal CRP concentrations. Elevated sCAL was independently associated with increased all-cause mortality (HR:2.99; 95% confidence interval (95%CI):1.87-4.78), cardiovascular mortality (HR:7.49;95%CI:1.50-37.55), respiratory mortality (HR: 5.89; 95%CI:1.97-17.62), and incident MACE (HR: 2.10; 95%CI: 1.04-4.24). Furthermore, sCAL correlated with high-sensitivity cardiac troponin T and NT-proBNP concentrations, independently of lipid profile. Conclusions: Serum calprotectin is a clinically relevant biomarker in RA that reflects both disease activity and severity, independently identifying patients at increased cardiovascular risk and mortality, supporting its potential role in disease monitoring and risk stratification.

immunology↗

bioRxiv2020

Validity of dynamical analysis to characterize heart rate and oxygen consumption during effort tests

Performance is usually assessed by simple indices stemming from cardiac and respiratory data measured during graded exercise test. The goal of this study is to test the interest of using a dynamical analysis of these data. Therefore, two groups of 32 and 14 athletes from two different cohorts performed two different graded exercise testing before and after a period of training or deconditioning. Heart rate (HR) and oxygen consumption (VO2) were measured. The new dynamical indices were the value without effort, the characteristic time and the amplitude (gain) of the HR and VO2 response to the effort. The gain of HR was moderately to strongly associated with other performance indices, while the gain for VO2 increased with training and decreased with deconditioning with an effect size slightly higher than VO2 max. Dynamical analysis performed on the first 2/3 of the effort tests showed similar patterns than the analysis of the entire effort tests, which could be useful to assess individuals who cannot perform full effort tests. In conclusion, the dynamical analysis of HR and VO2 obtained during effort test, especially through the estimation of the gain, provides a good characterization of physical performance, robust to less stringent effort test conditions.

bioinformatics↗

bioRxiv2020

The complex relationship between effort and heart rate: a hint from dynamical analysis

Heart rate during effort test has been previously successfully adjusted with a simple first order differential equation with constant coefficients driven by the body power expenditure. Although producing proper estimation and yielding pertinent indices to analyze such measurement, this approach suffers from its inability to model the saturation of the heart rate increase at high power expenditure and the change of heart rate equilibrium after effort. The objective of the present study is to improve this model by considering that the amplitude of the heart rate response to effort (gain) depends on the power expenditure value. Therefore, heart rate and oxygen consumption of 30 amateur athletes were measured while they performed a maximum graded treadmill effort test. The proposed model was able to predict 99% of the measured heart rate variance during exercise. The gains estimated at the different power expenditures were constant but noisy before the first ventilatory threshold, stable and decreasing slightly with power increase between the two ventilatory thresholds, before decreasing in a more pronounced manner after the second ventilatory threshold. The slope of the decrease of heart rate gain with power expenditure was correlated with the deflection angle of the heart rate performance curve and with the maximum oxygen consumption. These results reflect the changes of metabolic energy systems at play during the effort test and are consistent with the analysis of the heart rate performance curve given by the Conconi method, thus validating our new approach to analyze heart rate during effort test.

bioinformatics↗