Evidence mapPaperPMID 33199820Full record

ArticleScientific reports2020

Deep phenotyping of myalgic encephalomyelitis/chronic fatigue syndrome in Japanese population.

Toshimori Kitami, Sanae Fukuda, Tamotsu Kato, Kouzi Yamaguti, Yasuhito Nakatomi, Emi Yamano, Yosky Kataoka, Kei Mizuno, Yuuri Tsuboi, Yasushi Kogo and 10 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
field-weighted citation impact
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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025
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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

20 authors.

Toshimori KitamiRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan. toshimori.kitami@riken.jp.
Sanae FukudaOsaka City University Graduate School of Medicine, Osaka, Japan.
Tamotsu KatoRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Kouzi YamagutiOsaka City University Graduate School of Medicine, Osaka, Japan.
Yasuhito NakatomiOsaka City University Graduate School of Medicine, Osaka, Japan.
Emi YamanoOsaka City University Graduate School of Medicine, Osaka, Japan.
Yosky KataokaOsaka City University Graduate School of Medicine, Osaka, Japan.
Kei MizunoOsaka City University Graduate School of Medicine, Osaka, Japan.
Yuuri TsuboiRIKEN Center for Sustainable Resource Sciences, Kanagawa, Japan.
Yasushi KogoRIKEN Preventive Medicine and Diagnosis Innovation Program, Saitama, Japan.
Harukazu SuzukiRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Masayoshi ItohRIKEN Preventive Medicine and Diagnosis Innovation Program, Saitama, Japan.
Masaki Suimye MoriokaRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Hideya KawajiRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Haruhiko KosekiRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Jun KikuchiRIKEN Center for Sustainable Resource Sciences, Kanagawa, Japan.
Yoshihide HayashizakiRIKEN Preventive Medicine and Diagnosis Innovation Program, Saitama, Japan.
Hiroshi OhnoRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Hirohiko KuratsuneOsaka City University Graduate School of Medicine, Osaka, Japan.
Yasuyoshi WatanabeOsaka City University Graduate School of Medicine, Osaka, Japan. yywata@riken.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex and debilitating disease with no molecular diagnostics and no treatment options. To identify potential markers of this illness, we profiled 48 patients and 52 controls for standard laboratory tests, plasma metabolomics, blood immuno-phenotyping and transcriptomics, and fecal microbiome analysis. Here, we identified a set of 26 potential molecular markers that distinguished ME/CFS patients from healthy controls. Monocyte number, microbiome abundance, and lipoprotein profiles appeared to be the most informative markers. When we correlated these molecular changes to sleep and cognitive measurements of fatigue, we found that lipoprotein and microbiome profiles most closely correlated with sleep disruption while a different set of markers correlated with a cognitive parameter. Sleep, lipoprotein, and microbiome changes occur early during the course of illness suggesting that these markers can be examined in a larger cohort for potential biomarker application. Our study points to a cluster of sleep-related molecular changes as a prominent feature of ME/CFS in our Japanese cohort.

Indexed as

MetabolomeMicrobiotaTranscriptomeBiomarkersCase-Control StudiesCohort StudiesFatigue Syndrome, ChronicFecesHumansJapanBiomarkers

Identifiers

PMID33199820
PMCPMC7669873

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.