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BackgroundSequelae of Coronavirus disease 2019 (COVID-19) were investigated by both patient-initiated and academic initiatives. Patient’s subjective illness perceptions might differ from physician’s clinical assessment results. Herein, we explored factors influencing patient’s perception during COVID-19 recovery.MethodsParticipants of the prospective observation CovILD study with persistent somatic symptoms or cardiopulmonary findings at the clinical follow-up one year after COVID-19 were analyzed (n = 74). Explanatory variables included baseline demographic and comorbidity data, COVID-19 course and one-year follow-up data of persistent somatic symptoms, physical performance, lung function testing (LFT), chest computed tomography (CT) and trans-thoracic echocardiography (TTE). Factors affecting illness perception (Brief Illness Perception Questionnaire, BIPQ) were identified by penalized multi-parameter regression and unsupervised clustering.ResultsIn modeling, 47% of overall illness perception variance at one year after COVID-19 was attributed to fatigue intensity, reduced physical performance, hair loss and baseline respiratory comorbidity. Overall illness perception was independent of LFT results, pulmonary lesions in CT or heart abnormality in TTE. As identified by clustering, persistent somatic symptom count, fatigue, diminished physical performance, dyspnea, hair loss and sleep problems at the one-year follow-up and severe acute COVID-19 were associated with the BIPQ domains of concern, emotional representation, complaints, disease timeline and consequences.ConclusionPersistent somatic symptoms rather than clinical assessment results, revealing lung and heart abnormalities, impact on severity and quality of illness perception at one year after COVID-19 and may foster unhelpful coping mechanisms. Besides COVID-19 severity, individual illness perception should be taken into account when allocating rehabilitation and psychological therapy resources.Study registrationClinicalTrials.gov: NCT04416100.

Introduction Sarcoidosis is a systemic granulomatous disease with a variable clinical presentation and disease course. There is still no reliable biomarker available, which assists in the diagnosis or prediction of the clinical course. According to a murine model, the expression level of the metabolic checkpoint kinase mechanistic target of Rapamycin complex 1 (mTORC1) in granulomas of sarcoidosis patients may be used as a clinical biomarker. Material and methods This is a retrospective analysis of 58 patients with histologically confirmed sarcoidosis. Immunohistochemical staining of granulomas from tissue samples was evaluated for the expression of activated mTORC1 signaling, including phosphorylated mTOR, its downstream effectors S6K1, 4EBP1 and the proliferation marker Ki-67. Patients were categorized according to different clinical phenotypes, serum biomarkers, and immunomodulatory therapy. Results All patients showed activated mTORC1 signaling in granulomas, which correlated with its downstream effectors S6K1 and 4EBP1 but was not related to Ki-67 expression. The mTORC1 activity revealed an association neither to disease severity nor the necessity of treatment; however, p-mTOR inversely correlated with cumulative corticosteroid dosage. Conclusion Our data confirm activation of the mTORC1 pathway in sarcoidosis, supporting the hypothesis that mTOR is a significant driver in granuloma formation. However, we could not find a relationship between the degree of mTOR activation and disease severity or the need for therapy.