Inflammation and severity of depressive symptoms in physically active individuals after COVID-19 - An exploratory immunopsychological study investigating the effect of inflammation on depressive symptom severity.

Background: SARS-CoV-2 infection is a risk factor for the development of depressive symptoms such as lack of energy, loss of interest, and depressed mood. Inflammatory processes might underline this association. The aim of this study was to investigate the association between inflammatory markers and the severity of depression after SARS-CoV-2 infection and the predictive effect of inflammatory markers on the severity of depressive symptoms. Lifestyle factors and lifestyle-related diseases can influence inflammation and depressive symptoms. As these lifestyle factors and lifestyle-related diseases are less common in physically active individuals, they are a suitable population for investigating this research question. Methods: We investigated 61 at least moderate physically active individuals on average ∼6 months (SD = 4.22, range = 0.5-19 months) after SARS-CoV-2 infection (t0) and performed a follow-up after 3 months (t1). Depressive symptoms and biomarkers of inflammation (interleukin [IL]-1ß, IL-8, IL-10, Ferritin, Lipopolysaccharide-binding-protein [LBP], neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], lymphocyte-to-monocyte ratio [LMR]) and kynurenine [KYN] were measured at both time points. Concentrations of inflammatory markers at t0 were used to predict the severity of depressive symptoms at t0 and t1. Results: Concentrations of KYN were negatively related to the severity of depressive symptoms at t0. Concentrations of LMR predicted higher depressive symptoms at t0 as well as at t1. Furthermore, individuals with lower concentrations of LBP at t0 showed a higher severity of depressive symptoms at t1. No correlation was found between severity of depressive symptoms and IL-1ß, IL-8, IL-10, ferritin, NLR, and PLR at both time points. Conclusions: KYN, LBP and LMR might be useful as a predictive factor of depressive symptoms in physically active individuals after SARS-CoV-2 infection. While the results for KYN confirm the current scientific evidence, our results highlight the importance of the innovative inflammatory markers LMR and LBP. LMR and LBP might be interesting targets for predicting the development of depressive symptoms in SARS-CoV-2 infected populations and should be further investigated in future studies.

Recovery of performance and persistent symptoms in athletes after COVID-19.

INTRODUCTION: After the acute Sars-CoV-2-infection, some athletes suffer from persistent, performance-impairing symptoms, although the course of the disease is often mild to moderate. The relation between cardiopulmonary performance and persistent symptoms after the acute period is still unclear. In addition, information about the development of this relationship is lacking. OBJECTIVE: To assess the prevalence of persistent symptoms over time and their association with the performance capability of athletes. METHODS: We conducted two cardiopulmonary exercise tests (CPET) in a three months interval with 60 athletes (age: 35.2±12.1 years, 56.7% male) after infection with Sars-CoV-2 (t0: study inclusion; t1: three months post t0). At each examination, athletes were asked about their persistent symptoms. To evaluate the change of Peak VO2/BM (Body Mass) between the time before infection and the first examination, the VO2/BM (predVO2) before infection was predicted based on anthropometric data and exercise history of the athletes. For data analysis, athletes were grouped according to their symptom status (symptom-free, SF; persistent symptoms, PS) and its progression from the first to the second examination 1) SF-SF, 2) PS-SF and 3) PS-PS. RESULTS: Comparing the SF and PS groups at t0, significant differences for Max Power/BM, Max Power/lbm (lean body mass), Peak VO2, Peak VO2/BM, Peak VO2/lbm, Peak VO2/HR, Peak VE, Peak Vt and VE/VCO2-Slope were observed. Regarding the progression over three months, an increase in Max Power/BM was shown in SF-SF and PS-SF (tendency). Max Power/lbm increased in SF-SF and PS-PS (tendency). A decrease of VE/VCO2-Slope in PS-PS was found. CONCLUSION: COVID-19 led to a decline in performance that was greater in PS than in SF. Additionally, PS had decreased ventilatory parameters compared to SF. Furthermore, an improvement over time was observed in some CPET parameters and a partial recovery was observed judging by the decrease in various symptoms.