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Enregistrement W2085260657 · doi:10.1093/infdis/jiu210

Torque Teno Virus Load as a Biomarker of Immunosuppression? New Hopes and Insights

2014· letter· en· W2085260657 sur OpenAlexaff
Kathie Béland, Michael Dore-Nguyen, Marie-Josée Gagné, Nathalie Patey, Julie Brassard, Fernando Álvarez, Ugur Halac

Notice bibliographique

RevueThe Journal of Infectious Diseases · 2014
Typeletter
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAnimal Virus Infections Studies
Établissements canadiensAgriculture and Agri-Food CanadaUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Organismes subventionnairesnon disponible
Mots-clésTorque teno virusImmunosuppressionVirologyBiomarkerBiologyVirusViral loadMedicineImmunologyComputational biologyPolymerase chain reactionGenetics

Résumé

récupéré en direct d'OpenAlex

To the Editor—We thank Focosi and colleagues for their comments [1] concerning our article [2]. The results presented in their letter are of major interest and the conclusions are attractive. We want to emphasize that, similar to studies in adults, our results confirmed that a clear correlation between torque teno virus (TTV) load and the intensity of immunosuppression was shown in pediatric liver transplant recipients. This was related to the number of immunosuppressive drugs. As it has been clearly established that TTV is ubiquitous but has a variable prevalence [3], we also believe that TTV infection should be evaluated mainly on the basis of the viral load, and not on the prevalence, in healthy individuals as well as in patients with chronic conditions. Focosi et al [1] suggested that a continuous relationship can be established between intensity of iatrogenic maintenance immunosuppression and increase in TTV viremia in hepatitis B virus (HBV)/hepatitis C virus (HCV)–related patients with cirrhosis undergoing orthotopic liver transplantation (OLT). Similar data were reported in patients with onco-hematological conditions [4], in HCV-infected patients [5], and after OLT [6]. However, other factors must be taken into consideration by which viral load can decrease in transplant patients, even when administered immunosuppression is high. As physicians involved in the follow-up of immunosuppressed patients (solid organ or tissue transplant, cancer, inflammatory bowel diseases, etc), we need to develop reliable and inexpensive markers of immune system function. The results of Focosi et al [1] contribute to this. However, we need to further elucidate some remaining questions: What is the influence of hepatotropic viral agents such as HBV, HCV, or hepatitis E virus (HEV) on TTV load? We found that TTV load decreases when a hepatotropic virus, such as HEV, infects immunosuppressed patients [2]. Previously, we also reported a high prevalence of chronic HEV infection in such patients [7]. Correlation between recent HEV infection and lower TTV load could result from 2 phenomena: (1) competitive use of the replication machinery, as TTV and HEV can both replicate in hepatocytes [8]; or (2) HEV-triggered liver inflammation that nonspecifically impairs TTV through hepatocyte death and increased interferon secretion. Concordant with this hypothesis, TTV is susceptible to the effects of interferon [9]. Altogether, these results suggest that, in contrast to the cooperation between TTV and some viral agents such as Epstein-Barr virus [10], TTV and HEV do not act as cofactors, and that liver inflammatory activity could impair TTV replication in the liver. The relationship with HBV, HCV, and other hepatotropic viruses needs to be further analyzed in larger studies. Viral load can decrease in patients with rejection or chronic hepatitis, as the liver is one of the sites of TTV replication. We found a lower viral load in patients with chronic hepatitis after OLT than in those with a normal histology [2]. This finding in pediatric liver transplant recipients needs further evaluation in patients receiving other organs. If we are to use TTV viremia as “biomarker,” what “range” levels should be considered normal? The difficulties of standardization of such a tool may also be highly dependent on the specific condition of the patient. An interesting population is the bone marrow recipient, since these patients are transitorily immunosuppressed following chemotherapy or in the event of treatment of graft-vs-host disease. We should also take into consideration that patients after kidney transplant have significantly different immunosuppressive regimens compared with immunocompromised patients with Crohn's disease treated with biologics or immunomodulators. Therefore, individualized management of this “biomarker,” based on each specific patient, seems necessary, making standardization difficult. It has been reported that the prevalence of TTV is geographically variable. Even if we suppose that prevalence is not an indicator of pathogenicity, could such a large variability in prevalence influence the behavior of the infection at an individual level? When TTV prevalence is almost 100% of the general population in a particular area, could the chronic exposure to this virus be a source of repetitive pathogenicity for immunosuppressed patients? Although this is purely speculative, it should be studied with large comparative and prospective studies. Altogether, we are encouraged to see that major observations are being published concerning the role of TTV viremia in patients with chronic immunosuppressive conditions. The letter by Focosi et al [1] is clinically relevant and represents an important contribution to the long-term management of immunocompromised patients. Potential conflicts of interest. All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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)0,009
score de la tête « metaresearch » (Gemma)0,030
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: aucune
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,048

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,030
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,004
Communication savante0,0040,005
Science ouverte0,0020,001
Intégrité de la recherche0,0160,017
Charge utile insuffisante (le modèle a refusé de juger)0,0030,002

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 Opus0,016
Tête enseignante GPT0,234
Écart entre enseignants0,218 · 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

Citations22
Publié2014
Routes d'admission1
Résumé présentnon

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