Evidence map›Paper›PMID 37145276›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Immunological Analysis of Cryptococcal Meningoencephalitis in a Murine Model.

Jintao Xu, Kristie Goughenour, W Rex Underwood, Michal A Olszewski

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
6.5field-weighted citation impact, top 4% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Jintao XuDepartment of Veterans Affairs Health System, Research Service, Ann Arbor VA Healthcare System, Ann Arbor, MI, USA.
Kristie GoughenourDepartment of Veterans Affairs Health System, Research Service, Ann Arbor VA Healthcare System, Ann Arbor, MI, USA.
W Rex UnderwoodDepartment of Veterans Affairs Health System, Research Service, Ann Arbor VA Healthcare System, Ann Arbor, MI, USA.
Michal A OlszewskiDepartment of Veterans Affairs Health System, Research Service, Ann Arbor VA Healthcare System, Ann Arbor, MI, USA. olszewsm@umich.edu.
Michigan Medicine · USVA Ann Arbor Healthcare System · US

Funding

PULMONARY CELLULAR AND MOLECULAR BIOLOGY TRAININGT32HL007749 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Pickett Dickson · 1993 to 2026
$19.9M
Modulation of Pulmonary Defenses in Pathobiology of Chronic InfectionsI01BX000656 · VA · VETERANS HEALTH ADMINISTRATION · PI OLSZEWSKI, MICHAL A · 2011 to 2025
–
BLRD Research Career Scientist Award ApplicationIK6BX005966 · VA · VETERANS HEALTH ADMINISTRATION · PI OLSZEWSKI, MICHAL A · 2022 to 2025
–
BLRD VA I01 BX000656BLRD VA IK6 BX003615BLRD VA IK6 BX005966NHLBI NIH HHS T32 HL007749
6 · The paper itself

Abstract

Cryptococcal meningoencephalitis (CM), caused by the fungal pathogen Cryptococcus neoformans species complex, can lead to high mortality or severe neurological sequelae in survivors that are associated with excessive inflammation in the central nervous system (CNS), especially in those who develop immune reconstitution inflammatory syndrome (IRIS) or postinfectious immune response syndrome (PIIRS). While the means to establish a cause-and-effect relationship of a specific pathogenic immune pathway during CM by human studies are limited, mouse models allow dissection of the potential mechanistic links within the CNS immunological network. In particular, these models are useful for separating pathways contributing predominantly to immunopathology from those important for fungal clearance. In this protocol, we described methods to induce a robust, physiologically relevant murine model of C. neoformans CNS infection that reproduces multiple aspects of human cryptococcal disease immunopathology and subsequent detailed immunological analysis. Combined with tools including gene knockout mice, antibody blockade, cell adoptive transfer, as well as high throughput techniques such as single-cell RNA sequencing, studies using this model will provide new insights regarding the cellular and molecular processes that elucidate the pathogenesis of cryptococcal CNS diseases in order to develop more effective therapeutic strategies.

Indexed as

CryptococcosisCryptococcus neoformansMeningoencephalitisAnimalsCentral Nervous SystemDisease Models, AnimalHumansMiceCryptococcal meningoencephalitisMice modelNeuroinflammation

Identifiers

PMID37145276
PMCPMC10588511
OpenAlexW4372335775

What OpenQuestion holds

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LicenceTDM
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.