Evidence map›Paper›PMID 33236006›Full record

ArticlebioRxiv : the preprint server for biology2020

Ketogenesis restrains aging-induced exacerbation of COVID in a mouse model.

Seungjin Ryu, Irina Shchukina, Yun-Hee Youm, Hua Qing, Brandon K Hilliard, Tamara Dlugos, Xinbo Zhang, Yuki Yasumoto, Carmen J Booth, Carlos Fernández-Hernando and 7 more

Registry-linked trialOpen access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05163743 (COVID-19 Vaccination in Subjects With Obesity), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05163743 naunknown statusnot on this mapstarted 2021, after this paper: background citation

COVID-19 Vaccination in Subjects With Obesity: Impact of Metabolic Health and the Role of a Ketogenic Diet

TypeinterventionalSponsorUniversity of Roma La SapienzaRan2021 to 2021Enrolled24ConditionsObesityArmsLow Calorie Ketogenic Diet
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Brain connectivity meets reservoir computing.PLoS computational biology · 2022
    Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Seungjin Ryu
Irina Shchukina
Yun-Hee Youm
Hua Qing
Brandon K Hilliard
Tamara Dlugos
Xinbo Zhang
Yuki Yasumoto
Carmen J Booth
Carlos Fernández-Hernando
Yajaira Suárez
Kamal M Khanna
Tamas L Horvath
Marcelo O Dietrich
Maxim N Artyomov
Andrew Wang
Vishwa Deep Dixit
Yale University · USNYU Langone Health · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Increasing age is the strongest predictor of risk of COVID-19 severity. Unregulated cytokine storm together with impaired immunometabolic response leads to highest mortality in elderly infected with SARS-CoV-2. To investigate how aging compromises defense against COVID-19, we developed a model of natural murine beta coronavirus (mCoV) infection with mouse hepatitis virus strain MHV-A59 (mCoV-A59) that recapitulated majority of clinical hallmarks of COVID-19. Aged mCoV-A59-infected mice have increased mortality and higher systemic inflammation in the heart, adipose tissue and hypothalamus, including neutrophilia and loss of γδ T cells in lungs. Ketogenic diet increases beta-hydroxybutyrate, expands tissue protective γδ T cells, deactivates the inflammasome and decreases pathogenic monocytes in lungs of infected aged mice. These data underscore the value of mCoV-A59 model to test mechanism and establishes harnessing of the ketogenic immunometabolic checkpoint as a potential treatment against COVID-19 in the elderly. HIGHLIGHTS: - Natural MHV-A59 mouse coronavirus infection mimics COVID-19 in elderly.- Aged infected mice have systemic inflammation and inflammasome activation.- Murine beta coronavirus (mCoV) infection results in loss of pulmonary γδ T cells.- Ketones protect aged mice from infection by reducing inflammation. ETOC BLURB: Elderly have the greatest risk of death from COVID-19. Here, Ryu et al report an aging mouse model of coronavirus infection that recapitulates clinical hallmarks of COVID-19 seen in elderly. The increased severity of infection in aged animals involved increased inflammasome activation and loss of γδ T cells that was corrected by ketogenic diet.

Identifiers

PMID33236006
PMCPMC7685240
OpenAlexW3084819774

What OpenQuestion holds

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Registered trials

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.