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Enregistrement W4321457824 · doi:10.3389/fmed.2023.1147529

Editorial: Sarcoidosis and autoimmunity: From bench to bedside

2023· editorial· en· W4321457824 sur OpenAlexaboutno aff
Miriana d’Alessandro

Notice bibliographique

RevueFrontiers in Medicine · 2023
Typeeditorial
Langueen
DomaineMedicine
ThématiqueSarcoidosis and Beryllium Toxicity Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBench to bedsideMedicineSarcoidosisRheumatologyAutoimmunityInternal medicineMedical physics

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,082

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,019
Méta-épidémiologie (sens strict)0,0050,001
Méta-épidémiologie (sens large)0,0040,003
Bibliométrie0,0040,001
Études des sciences et des technologies0,0020,003
Communication savante0,0060,007
Science ouverte0,0050,002
Intégrité de la recherche0,0170,017
Charge utile insuffisante (le modèle a refusé de juger)0,0240,020

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,332
Écart entre enseignants0,310 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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