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Enregistrement W1991662727 · doi:10.1002/hep.22384

Hepatitis C virus in peripheral blood mononuclear cells of individuals with isolated anti‐hepatitis C virus antibody reactivity†

2008· letter· en· W1991662727 sur OpenAlexaffabout
Tram N. Q. Pham, Tomasz I. Michalak

Notice bibliographique

RevueHepatology · 2008
Typeletter
Langueen
DomaineMedicine
ThématiqueHepatitis C virus research
Établissements canadiensMemorial University of Newfoundland
Organismes subventionnairesnon disponible
Mots-clésPeripheral blood mononuclear cellHepatitis C virusVirologyRNABiologyAntibodyVirusReverse transcription polymerase chain reactionMolecular biologyReverse transcriptaseNested polymerase chain reactionRNA extractionTranscription (linguistics)ImmunologyPolymerase chain reactionMessenger RNAGeneIn vitroGenetics

Résumé

récupéré en direct d'OpenAlex

We were intrigued by the recent work by Bernardin and colleagues,1 who concluded that peripheral blood mononuclear cells (PBMCs) are unlikely to be a long-lived reservoir of hepatitis C virus (HCV) in individuals reactive for anti-HCV antibodies and negative for HCV RNA by transcription-mediated amplification assay (TMA) (sensitivity of 30 HCV RNA copies/mL; GenProbe Inc., San Diego, CA). Because this finding is in contrast with those previously reported by our and other groups,2-6 we want to briefly outline the most important methodological differences which might have led to this opposing conclusion. In the study by Bernardin et al.,1 HCV RNA was evaluated in cryopreserved, unstimulated PBMCs by so-called cell-associated TMA and reverse transcription–nested polymerase chain reaction (RT-nPCR) with sensitivities arguably between 2-50 and 15-150 virus copies/5 × 106 PBMCs, respectively. In our investigations, RT-nPCR followed by nucleic acid hybridization (NAH) analysis of amplicons (that is, Southern blotting), in order to validate specificity and enhance sensitivity of the signal detection by ≈10-fold over RT-nPCR, was applied.2, 7 This RT-nPCR/NAH method consistently detects <10 HCV RNA copies/mL or <5 copies/106 PBMCs, knowing that 1 × 106 PMBCs gives on average 1 μg RNA. Nonetheless, a more fundamental discrepancy concerns the amount of RNA used for analysis. In the work cited, RNA extracted with the RNeasy minikit (Qiagen, Valencia, CA) from an equivalent of, at most, 1.6 × 105 PBMCs (assuming, albeit unlikely, complete cell recovery after thawing and washing) was used for RT-nPCR. In contrast, we analyzed RNA from 1 × 106 to 2 × 106 of PBMCs that were unmanipulated after cryopreservation and extracted with Trizol (Invitrogen Life Technologies, Burlington, Canada), paying meticulous attention to the maximum recovery of high-quality RNA.2, 7 Furthermore, our experience indicates that RNA recovery after extraction with Trizol surpasses that with the RNeasy minikit by two-fold to three-fold. Therefore, the amount of template used for RT-nPCR by Bernardin and colleagues1 was 10-20 times lower than that in our studies, which also applied an overall more sensitive assay. Our investigations of several cohorts of individuals who were reactive to anti-HCV antibodies long after resolution of hepatitis C revealed HCV RNA positive strands in unstimulated PBMCs in ≈30% of cases at levels between 10 and 104 copies/107 cells.7 However, a brief culture of PBMCs with mitogens and cytokines that activated immune cells facilitated HCV RNA detection in as much as 75% of initially HCV-negative cases.7 Further, in up to 20% of cases, the HCV genome can be found in stimulated PBMCs but not in parallel serum. The simultaneous detection of an HCV RNA replicative strand, HCV protein, and unique HCV variants served to authenticate active virus replication in PBMCs, irrespective of serum HCV RNA status, as our recent study reassured.6 The above approach to HCV RNA identification was not employed by Bernardin and colleagues.1 Thus, as they alluded, it remains a distinct possibility that ex vivo stimulation of PBMCs might have augmented HCV detection in their study. Nevertheless, we recently demonstrated that replication of HCV can be confined to particular immune cell subsets, while total PBMCs appear nonreactive,6 suggesting that PBMC negativity does not necessarily exclude low-level HCV infection in this compartment. In summary, substantial differences in the methodology by which PBMCs and RNA were prepared, in the amount of template analyzed, and in the overall assay sensitivity are the most probable reasons behind the contradictory findings described by Bernardin et al.1 and others.2-6 As such, standardization of methods for HCV RNA detection in circulating immune cells based on the most sensitive approaches uncovered should be considered in future studies on this subject. Tram N.Q. Pham Ph.D.*, Tomasz I. Michalak M.D., Ph.D.*, * Molecular Virology and Hepatology Research Group, Faculty of Medicine, Health Science Center, Memorial University, St. John's, Canada.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,591
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0040,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,020
Tête enseignante GPT0,288
Écart entre enseignants0,269 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations9
Publié2008
Routes d'admission2
Résumé présentoui

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