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Record W2746096857 · doi:10.1093/ofid/ofx163.1880

Torque Teno Virus (TTV) and Epstein–Barr Virus (EBV) Viral Load in Peripheral Blood as a Biomarker of “Net Immunosuppression”: Factors Influencing Viral Load in Adult Patients Awaiting Solid Organ Transplantation

2017· article· en· W2746096857 on OpenAlexaff
Jutta K. Preiksaitis, Curtis Mabilangan, Yupin Tong, Catherine Burton, Simon Urschel

Bibliographic record

VenueOpen Forum Infectious Diseases · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTorque teno virusMedicineImmunosuppressionViral loadImmunologySerologyVirusCytomegalovirusSalivaInternal medicineVirologyGastroenterologyHerpesviridaeGenotypeViral diseaseAntibodyBiology

Abstract

fetched live from OpenAlex

Quantitative measurement of DNA levels of persistent highly prevalent viral infections such as Torque Teno Virus (TTV) and Epstein–Barr Virus (EBV) that are highly dependent on T-cell responses for control have been proposed as possible biomarkers of “net immunosuppression.” We examined factors influencing TTV in 51 adult patients awaiting solid organ transplantation (15 kidney, 15 liver/small bowel, 10 heart, 11 lung) and 51 healthy age- and sex-matched controls. Samples from all patients were tested for TTV DNA (plasma) using quantitative nucleic acid testing (QNAT), EBV and cytomegalovirus (CMV) serology, CMV DNA (QNAT of plasma, urine, saliva), and EBV DNA (QNAT of whole blood [WB], saliva). Effects of age, sex, organ, CMV serology, and EBV DNA on TTV DNA were explored in univariate and multivariate models. Patients and controls were well-matched for age (median 48.4 vs. 49.2 years), sex 64.7% M, both CMV seropositivity (45.1% vs. 51%) and EBV seropositivity (94.1% vs. 98.0%), and detection of EBV DNA in saliva (52.9% vs. 50.0%) and WB (28.6% vs. 16.3%). TTV DNA was detected more frequently and at higher levels (Figure 1) in patients (86.3%) vs. controls (66.7%). TTV DNA plasma levels were age-dependent for patients but not controls (<50 years vs. >50 years, P = 0.021), and were only higher in patients >50 years vs. controls (P = 0.003). Only two patients and no controls had CMV DNA detected. Neither CMV serostatus nor sex impacted TTV DNA levels in patients or controls. Patients awaiting lung transplant had lower TTV levels compared with those awaiting liver (P = 0.04) or heart transplant (P = 0.03). A significant correlation between plasma TTV DNA levels and WB EBV DNA (r = 0.28, P = 0.05) but not saliva EBV DNA levels was observed in patients (Figure 2); only WB EBV DNA level was a significant predictor of high (≥3rd quartile of control) TTV DNA levels in patients in multivariate analysis (P = 0.026). Four of the five patients tested before and 27–285 days after transplant had a significant post-transplant rise in TTV DNA levels (Figure 3). Measurement of TTV DNA in plasma alone or combined with EBV DNA in WB may be a useful marker for measuring global immunosuppression including age-related immunosenescence in subjects not receiving exogenous immunosuppression. All authors: No reported disclosures.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.258
Teacher spread0.246 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2017
Admission routes1
Has abstractyes

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