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Record W2136104926 · doi:10.1093/cid/ciu326

Editorial Commentary: Pathogenesis From the Reactivation of Chromosomally Integrated Human Herpesvirus Type 6: Facts Rather Than Fiction

2014· editorial· en· W2136104926 on OpenAlexaff
Louis Flamand

Bibliographic record

VenueClinical Infectious Diseases · 2014
Typeeditorial
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicinePathogenesisHuman herpesvirusVirologyImmunologyVirus

Abstract

fetched live from OpenAlex

(See the Brief Report by Endo et al on pages 545–8.) Viral latency, defined by the ability of a virus to remain dormant, is a commonly used immune evasion strategy that enables the long-term persistence of viruses within the infected host. On occasion, these viruses come out of latency and initiate their replicative cycles, yielding a progeny of infectious virions favoring viral propagation and dissemination with possible pathogenic outcomes depending on the immunological competency of the host. Among the most successful viruses utilizing latency as a mean of persistence are herpesviruses. Typically, during latency, herpesviruses maintain their genome in the nucleus in the form of an episome (extrachromosomal circular DNA) and express only a handful of proteins (often 1 protein) that ensure episome maintenance and transmission to daughter cells upon cell division. Among the 100 or so herpesviruses infecting vertebrates, a few of them have evolved mechanisms allowing them to integrate their viral genome into the host chromosomes in manners analogous to retroviruses. Example of such viruses include Marek disease virus (an oncogenic chicken herpes virus) and human herpesvirus (HHV) 6A and 6B (reviewed in [1]). HHV-6A and HHV-6B were isolated in 1986 and 1988 [2, 3], respectively, and the first report on chromosomally integrated HHV-6 (ciHHV-6) made in 1993 [4]. Daibata et al were the first to demonstrate vertical transmission of HHV-6 DNA over 3 generations by showing identical HHV-6 integration sites between a patient with acute lymphoblastic leukemia, his son, and his granddaughter, who were otherwise healthy [5]. HHV-6A and HHV-6B integration can take place in several distinct chromosomes, but the integration site invariably takes place at the ends of chromosomes within the telomeric region [6]. Since then, several other cases of ciHHV-6 were reported (reviewed in [1]) and biological consequences of ciHHV-6 discussed [7]. Whether HHV-6 integration was a viral dead end or constitutes a new form of latency remained, for many years, an unanswered fundamental biological question. Using Epstein-Barr virus–immortalized B-cell lines from subjects with ciHHV-6 and various culture conditions, several investigators proved unsuccessful at rescuing infectious HHV-6, although viral gene expression could be demonstrated [5, 8–11]. Using human cell lines, Arbuckle et al provided the first evidence of de novo integration and successful rescue of infectious HHV-6 virions from ciHHV-6–infected cells [12], suggesting that HHV-6 can reactivate once integrated. The first in vivo evidence of reactivation of ciHHV-6 came from Gravel et al, who provided data consistent with transplacentally acquired HHV-6 originating from the transmission of reactivated ciHHV-6 from the mother [13].

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.027
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.036
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.001
Science and technology studies0.0040.004
Scholarly communication0.0060.004
Open science0.0050.002
Research integrity0.0270.029
Insufficient payload (model declined to judge)0.0080.007

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.

Opus teacher head0.033
GPT teacher head0.368
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations17
Published2014
Admission routes1
Has abstractno

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