Bibliographic record
Abstract
Sarcoidosis is a granulomatous disease of unknown origin with multisystem involvement. It mainly affects the lungs and intrathoracic lymph nodes, featuring noncaseating granulomas (1). Clinical course is variable and there is no universally accepted treatment algorithm (2). Prevalence depends on geographical distribution (3), ranging from 1-5 per 100,000 in South Korea (4), Taiwan (5) and Japan (6) to 140-160 per 100,000 in Sweden (7) and Canada (8).Diagnosis is formulated by multidisciplinary evaluation of clinical, radiological and immunological findings (9), especially those of organs seldom affected such as the kidneys, liver and heart, which are underdiagnosed yet clinically significant forms with significant morbidity and mortality. It has been reported that 25–43% of patients with sarcoidosis have clinically silent renal involvement (10). To detect early kidney involvement and begin treatment immediately, Calatroni et al. recommended systematic screening of renal function, including serum creatinine, urine analysis and serum calcium levels. Kidney transplant is considered an acceptable option for uremic sarcoidosis patients, and complications seem to be similar to those associated with kidney transplant for other types of renal failure. No specific and sufficiently accurate biomarkers with have yet been identified for the clinical management of sarcoidosis. Among diagnostic markers, angiotensin converting enzyme (ACE) (11) has a controversial role for diagnosing or managing sarcoidosis, as it is not sensitive enough for the diagnosis of systemic sarcoidosis: the rate of false positives is high and 50% of sarcoidosis patients show normal levels at disease onset. Sedki et al. suggest lung imaging and measurement of serum ACE concentrations at the initial evaluation of sarcoidosis. However, further investigation is warranted in patients with intrahepatic cholestasis, negative for anti-mitochondrial antibodies and with liver biopsy evidence of granulomas, especially if these are predominantly lobular. They recommend a primary bile cirrhosis-specific anti-nuclear antibody (ANA) (gp210 and sp100) test in the case of ANA-positivity.A major complication of hepatic sarcoidosis is portal hypertension (PH), a prognostic marker associated with high morbidity and mortality. Fauter et al. analysed this complication in twelve patients with histological evidence of hepatic sarcoidosis. They highlighted the ineffectiveness of PH management and/or sarcoidosis therapy in these patients, concluding that liver transplant could be the best therapeutic option when corticosteroids fail.Despite extensive research, the aetiology and pathogenesis of sarcoidosis remain largely unknown. Several triggers have been implicated in its development, including autoantigen-specific T cells, antibodies producing B lymphocytes and autoimmune inflammation. Sarcoidosis is not classified as an autoimmune disorder, though autoimmune components play an important role in its pathogenesis.Rizzo et al. reviewed the relationship between sarcoidosis and autoimmunity, highlighting the role of humoral immunity in its pathogenesis. Although sarcoidosis patients are inclined to develop specific autoantibodies, this is postulated to occur by molecular mimicry. In susceptible individuals, it occurs when there is a similarity between a foreign and a self-peptide, which promotes activation of autoreactive T and B cells. Clinical improvement with anti-CD20 monoclonal antibody therapy, observed in some refractory cases of sarcoidosis, supports this argument. B-cell depletion has provided insights into the importance of autoimmunity in this immunological context. Several pathogenetic pathways and genetic predispositions are common to autoimmune diseases. The review article of Malkova et al. describes a genetic predisposition to chronic progressive sarcoidosis that prevents antigen elimination and promotes autoimmune inflammation, impairing the immune system or activating autoimmune disorders. Fibrosis is associated with fibroblast activation after differentiation of leukocytes which release cytokines in a setting of chronic inflammation.Irrespective of organ involvement, the etiopathogenesis of fibrosis and failure of affected organs in progressive sarcoidosis patients is still debated. Patterson et al. suggested that failure to clear antigens contributes to cardiac sarcoidosis and that the distribution of lymph node activity in the thoracic region differs over time. According to the study, lymph nodes are more likely to be involved in the progression of sarcoidosis in patients with chronic disease.It has been reported that lymph nodes are often involved in sarcoidosis, and a number of studies have been carried out using samples obtained by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) to explore the pathogenesis and establish diagnostic biomarkers. Zhao et al. performed genome-wide miRNA profiling in the lymph nodes of sarcoidosis patients, comparing it with the profiles of tuberculosis lymphadenitis (TBLN) patients and demonstrating the high diagnostic value of such profiles for sarcoidosis. MiR-185-5p is still useful in differential diagnosis of TBLN and sarcoidosis, particularly when patients with the latter disease are in stage I or II.The purpose of this Research Topic is to present some new experimental findings and updated reviews on organs rarely affected by sarcoidosis and the relationship between autoimmune diseases and sarcoidosis. At the threshold of a new era of personalized treatment, the discovery of new therapeutic targets could help prevent the development of chronic inflammation and tissue damage in these patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.017 | 0.017 |
| Insufficient payload (model declined to judge) | 0.024 | 0.020 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".