Evidence map›Paper›PMID 37519635›Full record

ArticleHeliyon2023

Association analysis between symptomology and herpesvirus IgG antibody concentrations in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis.

Tiago Dias Domingues, João Malato, Anna D Grabowska, Ji-Sook Lee, Jose Ameijeiras-Alonso, Przemysław Biecek, Luís Graça, Helena Mouriño, Carmen Scheibenbogen, Francisco Westermeier and 4 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 8 countries.

Tiago Dias DominguesDepartamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
João MalatoFaculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland.
Anna D GrabowskaDepartment of Biophysics, Physiology, And Pathophysiology, Medical University of Warsaw, Warsaw, Poland.
Ji-Sook LeeDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Jose Ameijeiras-AlonsoDepartment of Statistics, Mathematical Analysis and Optimization, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Przemysław BiecekFaculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland.
Luís GraçaInstituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Helena MouriñoDepartamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
Carmen ScheibenbogenInstitute of Medical Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
Francisco WestermeierDepartment of Health Studies, Institute of Biomedical Science, FH Joanneum University of Applied Sciences, Graz, Austria.
Luis NaculDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Jacqueline M CliffDepartment of Life Sciences and Centre for Inflammation Research and Translational Medicine, Brunel University London, United Kingdom.
Eliana LacerdaDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Nuno SepúlvedaFaculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland.
Warsaw University of Technology · PLLondon School of Hygiene & Tropical Medicine · GBCentre for Inflammation Research · GBFH JOANNEUM University of Applied Sciences · ATHumboldt-Universität zu Berlin · DEMedical University of Warsaw · PLUniversidade de Santiago de Compostela · ESUniversity of Lisbon · PT

Funding

A longitudinal immunological and virological study for ME CFS biomarker discovery (Renewal)R01AI103629 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI DOCKRELL, HAZEL MARGUERITE, NACUL, LUIS · 2013 to 2020
$4.1M
Human Herpesvirus 6B in Myalgic Encephalomyelitis / Chronic Fatigue Syndrome pathogenesis: temporal analysis of viral reactivation and immunity to elucidate cause vs effectR01AI170839 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI Jackie Cliff, Luis Nacul · 2022 to 2026
$2.6M
NIAID NIH HHS R01 AI103629NIAID NIH HHS R01 AI170839
6 · The paper itself

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis (MS) are two complex and multifactorial diseases whose patients experience persistent fatigue, cognitive impairment, among other shared symptoms. The onset of these diseases has also been linked to acute herpesvirus infections or their reactivations. In this work, we re-analyzed a previously-described dataset related to IgG antibody responses to 6 herpesviruses (CMV - cytomegalovirus; EBV - Epstein-Barr virus; HHV6 - human herpesvirus-6; HSV1 and HSV2 - herpes simplex virus-1 and -2, respectively; VZV - varicella-zoster virus) from the United Kingdom ME/CFS biobank. The primary goal was to report the underlying symptomology and its association with herpesvirus IgG antibodies using data from 4 disease-trigger-based subgroups of ME/CFS patients (n = 222) and patients with MS (n = 46). The secondary objective was to assess whether serological data could distinguish ME/CFS and its subgroup from MS using a SuperLearner (SL) algorithm. There was evidence for a significant negative association between temporary eye insight disturbance and CMV antibody concentrations and for a significant positive association between bladder problems and EBV antibody concentrations in the MS group. In the ME/CFS or its subgroups, the most significant antibody-symptom association was obtained for increasing HSV1 antibody concentration and brain fog, a finding in line with a negative impact of HSV1 exposure on cognitive outcomes in both healthy and disease conditions. There was also evidence for a higher number of significant antibody-symptom associations in the MS group than in the ME/CFS group. When we combined all the serological data in an SL algorithm, we could distinguish three ME/CFS subgroups (unknown disease trigger, non-infection trigger, and an infection disease trigger confirmed in the lab at the time of the event) from the MS group. However, we could not find the same for the remaining ME/CFS group (related to an unconfirmed infection disease). In conclusion, IgG antibody data explains more the symptomology of MS patients than the one of ME/CFS patients. Given the fluctuating nature of symptoms in ME/CFS patients, the clinical implication of these findings remains to be determined with a longitudinal study. This study is likely to ascertain the robustness of the associations during natural disease course.

Indexed as

CytomegalovirusEnzyme-linked immunosorbent assayEpstein-barr virusHerpes simplex virus-1 and -2Human herpesvirus-6SuperLearnerUnited Kingdom ME/CFS biobankVaricella-zoster virus

Identifiers

PMID37519635
PMCPMC10372404
OpenAlexW4384156254

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.