Evidence map›Paper›PMID 37145205›Full record

ArticleCurrent microbiology2023

First Report on the Versatile Secretome of an Environmental Isolate Acinetobacter pittii S-30.

Kiran Kumari, Parva Kumar Sharma, Ying Ma, Rajnish Prakash Singh

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 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
0.1field-weighted citation impact, top 67% 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, 1 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 3 institutions in 3 countries.

Kiran KumariDepartment of Bioengineering and Biotechnology BIT Mesra, Ranchi, Jharkhand, 835215, India.
Parva Kumar SharmaDepartment of Plant Sciences and Landscape Architecture, University of Maryland, College Park, MD, 20742, USA.
Ying MaCollege of Resources and Environment, Southwest University, Chongqing, China.
Rajnish Prakash SinghDepartment of Bioengineering and Biotechnology BIT Mesra, Ranchi, Jharkhand, 835215, India. manasrajnish2008@gmail.com.
Birla Institute of Technology, Mesra · INSouthwest University · CNUniversity of Maryland, College Park · US

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/RLF-2020-21
6 · The paper itself

Abstract

Acinetobacter species is currently ranked as high-priority pathogen for their extraordinary ability to become resistant to almost all existing antibiotics. The diverse range of effectors secreted by Acinetobacter spp. constitutes a significant proportion of the virulence arsenal. Therefore, our study aims to characterize the secretome of Acinetobacter pittii S-30. Analysis of extracellular secreted proteins of A. pittii S-30 revealed the presence of transporter proteins, outer membrane proteins, molecular chaperones, porins, and several proteins of unknown function. Additionally, proteins related to metabolism, as well as those involved in gene expression and protein translation, type VI secretion system (T6SS) proteins, and stress response-related proteins were also identified in the secretome. The comprehensive analysis of secretome revealed putative protein antigens which could elicit substantial immune response. The limited availability of effective antibiotics and the worldwide growth of secretome data make this approach appealing in the development of effective vaccines against Acinetobacter and other bacterial pathogens.

Indexed as

AcinetobacterAcinetobacter InfectionsAnti-Bacterial AgentsBacterial ProteinsHumansSecretomeAnti-Bacterial AgentsBacterial Proteins

Identifiers

PMID37145205
OpenAlexW4372300296

What OpenQuestion holds

Textmetadata
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.