Sarcoidosis and Autoimmune Inflammatory Syndrome Induced by Adjuvants

Associations of peripheral blood lymphopenia to disease course, treatment and TNF-α in sarcoidosis

BACKGROUND

Severe sarcoidosis has been associated with peripheral blood (PB) total lymphopenia and high tumour necrosis factor α (TNF-α) levels, and the lymphopenia phenotype seems to respond poorly to conventional treatment. However, the mechanisms behind PB lymphopenia and its correlation with TNF-α levels remain unclear. Understanding the connections among PB lymphocyte subsets, TNF-α and clinical phenotype including treatment status could offer insights into how to individualize therapy.

METHODS

PB samples from 65 consecutive sarcoidosis patients were collected at the Department of Respiratory Medicine, Karolinska University Hospital. Total lymphocyte, T-, B- and natural killer cell and TNF-α serum concentrations were measured and correlated to clinical parameters. Penias were defined as values below the lower limit of normal. The medical charts were retrospectively searched for the first PB total lymphocyte count, mostly recorded at time around diagnosis.

RESULTS

PB total lymphopenia was observed in 35% of patients, was present since time around diagnosis, and associated with a need for treatment later (p = 0.005). Lymphocyte counts did not change by therapy, except for an increase in patients receiving TNF-α inhibitors (TNFi) (p < 0.05). B-cell penia, observed in 37% of patients, was the most common abnormality, also in patients with normal total lymphocyte counts, while T-cell penia mainly occurred in patients with total lymphopenia (91 vs 5%, p < 0.001).

CONCLUSIONS

B-cell penia is common in sarcoidosis patients while T-cell penia is mainly a feature of the sarcoidosis PB lymphopenia phenotype. Increased lymphocyte counts during TNFi treatment suggests that TNF-α signaling is of importance for sarcoidosis associated lymphopenia.

Differential Diagnosis of Tuberculosis and Sarcoidosis by Immunological Features Using Machine Learning

Despite the achievements of modern medicine, tuberculosis remains one of the leading causes of mortality globally. The difficulties in differential diagnosis have particular relevance in the case of suspicion of tuberculosis with other granulomatous diseases. The most similar clinical and radiologic changes are sarcoidosis. The aim of this study is to apply mathematical modeling to determine diagnostically significant immunological parameters and an algorithm for the differential diagnosis of tuberculosis and sarcoidosis. Materials and methods: The serum samples of patients with sarcoidosis (SD) (n = 29), patients with pulmonary tuberculosis (TB) (n = 32) and the control group (n = 31) (healthy subjects) collected from 2017 to 2022 (the average age 43.4 ± 5.3 years) were examined. Circulating 'polarized' T-helper cell subsets were analyzed by multicolor flow cytometry. A symbolic regression method was used to find general mathematical relations between cell concentrations and diagnosis. The parameters of the selected model were finally fitted through multi-objective optimization applied to two conflicting indices: sensitivity to sarcoidosis and sensitivity to tuberculosis. Results: The difference in Bm2 and CD5-CD27- concentrations was found to be more significant for the differential diagnosis of sarcoidosis and tuberculosis than any individual concentrations: the combined feature Bm2 - [CD5-CD27-] differentiates sarcoidosis and tuberculosis with p < 0.00001 and AUC = 0.823. An algorithm for differential diagnosis was developed. It is based on the linear model with two variables: the first variable is the difference Bm2 - [CD5-CD27-] mentioned above, and the second is the naïve-Tregs concentration. The algorithm uses the model twice and returns "dubious" in 26.7% of cases for patients with sarcoidosis and in 16.1% of cases for patients with tuberculosis. For the remaining patients with one of these two diagnoses, its sensitivity to sarcoidosis is 90.5%, and its sensitivity to tuberculosis is 88.5%. Conclusions: A simple algorithm was developed that can distinguish, by certain immunological features, the cases in which sarcoidosis is likely to be present instead of tuberculosis. Such cases may be further investigated to rule out tuberculosis conclusively. The mathematical model underlying the algorithm is based on the analysis of "naive" T-regulatory cells and "naive" B-cells. This may be a promising approach for differential diagnosis between pulmonary sarcoidosis and pulmonary tuberculosis. The findings may be useful in the absence of clear differential diagnostic criteria between pulmonary tuberculosis and sarcoidosis.

Sarcoidosis-related autoimmune inflammation in COVID-19 convalescent patients

Currently, there are a large number of reports about the development of autoimmune conditions after COVID-19. Also, there have been cases of sarcoid-like granulomas in convalescents as a part of the post-COVID-19 syndrome. Since one of the etiological theories of sarcoidosis considers it to be an autoimmune disease, we decided to study changes in the adaptive humoral immune response in sarcoidosis and SARS-CoV-2 infection and to find out whether COVID-19 can provoke the development of sarcoidosis. This review discusses histological changes in lymphoid organs in sarcoidosis and COVID-19, changes in B cell subpopulations, T-follicular helper cells (Tfh), and T-follicular regulatory cells (Tfr), and analyzes various autoantibodies detected in these pathologies. Based on the data studied, we concluded that SARS-CoV-2 infection may cause the development of autoimmune pathologies, in particular contributing to the onset of sarcoidosis in convalescents.