Evidence map›Paper›PMID 40958852›Full record

ReviewImmunometabolism (Cobham, Surrey)2025

Metabolic neuroimaging of myalgic encephalomyelitis/chronic fatigue syndrome and Long-COVID.

Yijuan Zhu, Patrick Quan, Tadahiro Yamazaki, Anna Norweg, Benjamin Natelson, Xiang Xu

Abstract readReview
In one paragraph

Review in Immunometabolism (Cobham, Surrey), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
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

6 authors.

Yijuan ZhuBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Patrick QuanDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Tadahiro YamazakiDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Anna NorwegDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Benjamin NatelsonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Xiang XuBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Cerebral Energy Metabolism in ME/CFS with and without PASCR01NS136806 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Xiang Xu · 2024 to 2026
$1.9M
Structural and Metabolic Neuroimaging of ME/CFS Occurring with and without COVID-19 InfectionR21NS129120 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NATELSON, BENJAMIN, XU, XIANG · 2022 to 2023
$465k
NINDS NIH HHS R01 NS136806NINDS NIH HHS R21 NS129120
6 · The paper itself

Abstract

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Long-COVID are complex, disabling conditions that have emerged as significant public health challenges, affecting millions worldwide. Despite their growing prevalence, effective diagnostics and treatments remain limited, largely due to an incomplete understanding of their underlying pathophysiology. Both conditions share hallmark symptoms of chronic fatigue, cognitive dysfunction, and postexertional malaise, but their biological underpinnings remain to be elucidated. Neuroimaging offers a promising, noninvasive window into the brain's metabolic landscape and has the potential to uncover objective biomarkers for these conditions. In this mini review, we highlight recent advancements in metabolic neuroimaging, particularly positron emission tomography and magnetic resonance imaging/magnetic resonance spectroscopy, that reveal alterations in glucose and oxygen metabolism, neurotransmitter balance, and oxidative stress. These insights point toward shared disruptions in brain energy metabolism and neuroinflammatory processes, which may underlie the persistent symptoms in both ME/CFS and Long-COVID. Importantly, while some findings overlap, inconsistencies in metabolite profiles between ME/CFS and Long-COVID underscore the need for further stratification and longitudinal research. Standardizing definitions, such as identifying Long-COVID patients who meet ME/CFS diagnostic criteria, could help improve study comparability. By summarizing current imaging evidence, this review underscores the potential of neuroimaging to identify imaging biomarkers to advance the clinical diagnosis of Long-COVID and identify therapeutic targets for treatment development. As we continue to face the growing burden of Long-COVID and ME/CFS, metabolic imaging may serve as a powerful tool to bridge gaps in knowledge and accelerate progress toward effective care.

Indexed as

Long-COVIDmagnetic resonance spectroscopyME/CFSmetabolic imagingmetabolitesneuroimagingpositron emission tomography

Identifiers

PMID40958852
PMCPMC12435251

What OpenQuestion holds

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Registered trials

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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.