Evidence map›Paper›PMID 34130738›Full record

ArticleJournal of neuroinflammation2021

Type I IFN signaling limits hemorrhage-like disease after infection with Japanese encephalitis virus through modulating a prerequisite infection of CD11b

Ajit Mahadev Patil, Jin Young Choi, Seong Ok Park, Erdenebelig Uyangaa, Bumseok Kim, Koanhoi Kim, Seong Kug Eo

Abstract read
In one paragraph

Article in Journal of neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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

7 authors.

Ajit Mahadev Patil *College of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan, 54596, Republic of Korea.
Jin Young Choi *College of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan, 54596, Republic of Korea.
Seong Ok Park *College of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan, 54596, Republic of Korea.
Erdenebelig UyangaaCollege of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan, 54596, Republic of Korea.
Bumseok KimCollege of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan, 54596, Republic of Korea.
Koanhoi KimDepartment of Pharmacology, School of Medicine, Pusan National University, Yangsan, 50612, Republic of Korea.
Seong Kug EoCollege of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan, 54596, Republic of Korea. vetvirus@jbnu.ac.kr.ORCID http://orcid.org/0000-0001-9243-4268

Funding

National Research Foundation (NRF) of Korea 2019R1A6A1A03033084National Research Foundation of Korea 2021R1A2B5B02001578
6 · The paper itself

Abstract

backgroundThe crucial role of type I interferon (IFN-I, IFN-α/β) is well known to control central nervous system (CNS) neuroinflammation caused by neurotrophic flaviviruses such as Japanese encephalitis virus (JEV) and West Nile virus. However, an in-depth analysis of IFN-I signal-dependent cellular factors that govern CNS-restricted tropism in JEV infection in vivo remains to be elucidated.

methodsViral dissemination, tissue tropism, and cytokine production were examined in IFN-I signal-competent and -incompetent mice after JEV inoculation in tissues distal from the CNS such as the footpad. Bone marrow (BM) chimeric models were used for defining hematopoietic and tissue-resident cells in viral dissemination and tissue tropism.

resultsThe paradoxical and interesting finding was that IFN-I signaling was essentially required for CNS neuroinflammation following JEV inoculation in distal footpad tissue. IFN-I signal-competent mice died after a prolonged neurological illness, but IFN-I signal-incompetent mice all succumbed without neurological signs. Rather, IFN-I signal-incompetent mice developed hemorrhage-like disease as evidenced by thrombocytopenia, functional injury of the liver and kidney, increased vascular leakage, and excessive cytokine production. This hemorrhage-like disease was closely associated with quick viral dissemination and impaired IFN-I innate responses before invasion of JEV into the CNS. Using bone marrow (BM) chimeric models, we found that intrinsic IFN-I signaling in tissue-resident cells in peripheral organs played a major role in inducing the hemorrhage-like disease because IFN-I signal-incompetent recipients of BM cells from IFN-I signal-competent mice showed enhanced viral dissemination, uncontrolled cytokine production, and increased vascular leakage. IFN-I signal-deficient hepatocytes and enterocytes were permissive to JEV replication with impaired induction of antiviral IFN-stimulated genes, and neuron cells derived from both IFN-I signal-competent and -incompetent mice were vulnerable to JEV replication. Finally, circulating CD11b

conclusionAn IFN-I signal-dependent model is proposed to demonstrate how CD11b

Indexed as

Receptor, Interferon alpha-betaAnimalsCD11b AntigenCentral Nervous SystemCytokine Release SyndromeDisease Models, AnimalEncephalitis, JapaneseEncephalitis Virus, JapaneseHemorrhageHost-Pathogen InteractionsInflammation MediatorsInterferon Type ILymphoid TissueMiceMice, Inbred C57BLMice, KnockoutCD11b AntigenInflammation MediatorsInterferon Type IReceptor, Interferon alpha-betaCytokine stormHemorrhagic diseaseJapanese encephalitisMonocytesType I IFN

Identifiers

PMID34130738
PMCPMC8204625

What OpenQuestion 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 OpenQuestion graph.