Evidence map›Paper›PMID 38173970›Full record

ReviewAIMS microbiology2023

Cholesterol dependent cytolysins and the brain: Revealing a potential therapeutic avenue for bacterial meningitis.

Tjokorda Istri Pramitasuri, Ni Made Susilawathi, Ni Made Adi Tarini, Aa Raka Sudewi, Matthew C Evans

Open access · goldAbstract readReview
In one paragraph

Review in AIMS microbiology, 2023. 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
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  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

5 authors at 3 institutions in 2 countries.

Tjokorda Istri PramitasuriDoctoral Program in Medical Science, Faculty of Medicine, Universitas Udayana, Bali, Indonesia.
Ni Made SusilawathiDepartment of Neurology, Faculty of Medicine, Universitas Udayana, Bali, Indonesia.
Ni Made Adi TariniDepartment of Microbiology, Faculty of Medicine, Universitas Udayana-Rumah Sakit Umum Pusat Prof Dr dr IGNG Ngoerah, Bali, Indonesia.
Aa Raka SudewiDepartment of Neurology, Faculty of Medicine, Universitas Udayana, Bali, Indonesia.
Matthew C EvansPain Research, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, United Kingdom.
Udayana University · IDImperial College London · GBUK Dementia Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial meningitis is a catastrophic nervous system disorder with high mortality and wide range of morbidities. Some of the meningitis-causing bacteria occupy cholesterol dependent cytolysins (CDCs) to increase their pathogenicity and arrange immune-evasion strategy. Studies have observed that the relationship between CDCs and pathogenicity in these meningitides is complex and involves interactions between CDC, blood-brain barrier (BBB), glial cells and neurons. In BBB, these CDCs acts on capillary endothelium, tight junction (TJ) proteins and neurovascular unit (NVU). CDCs also observed to elicit intriguing effects on brain inflammation which involves microglia and astrocyte activations, along with neuronal damage as the end-point of pathological pathways in bacterial meningitis. As some studies mentioned potential advantage of CDC-targeted therapeutic mechanisms to combat CNS infections, it might be a fruitful avenue to deepen our understanding of CDC as a candidate for adjuvant therapy to combat bacterial meningitis.

Indexed as

bacteriabraincentral nervous systemcholesterol dependent cytolysinmeningitis

Identifiers

PMID38173970
PMCPMC10758573
OpenAlexW4386048536

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.