Evidence map›Paper›PMID 37910477›Full record

ArticlePloS one2023

Serum proteomic profile of wild stump-tailed macaques (Macaca arctoides) infected with malaria parasites in Thailand.

Pakorn Ruengket, Sittiruk Roytrakul, Daraka Tongthainan, Kanokwan Taruyanon, Bencharong Sangkharak, Paviga Limudomporn, Mongkol Pongsuchart, Chanya Udom, Wirasak Fungfuang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

9 authors at 3 institutions in 1 country.

Pakorn RuengketGenetic Engineering and Bioinformatics Program, Graduate School, Kasetsart University, Bangkok, Thailand.
Sittiruk RoytrakulFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani, Thailand.ORCID 0000-0003-3696-8390
Daraka TongthainanFaculty of Veterinary Medicine, Rajamongala University of Technology Tawan-ok, Chonburi, Thailand.
Kanokwan TaruyanonDepartment of National Parks, Wildlife Conservation Division Protected Areas Regional Office, Wildlife and Plant Conservation, Ratchaburi, Thailand.
Bencharong SangkharakDepartment of National Parks, Wildlife Conservation Division, Wildlife and Plant Conservation, Bangkok, Thailand.
Paviga LimudompornFaculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand.
Mongkol PongsuchartFaculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand.ORCID 0000-0001-8846-9265
Chanya UdomFaculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand.
Wirasak FungfuangFaculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand.ORCID 0000-0001-6689-2804
Kasetsart University · THNational Science and Technology Development Agency · THRajamangala University of Technology Tawan-ok · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of patients infected with simian malaria is gradually increasing in many countries of Southeast Asia and South America. The most important risk factor for a zoonotic spillover event of malarial infection is mostly influenced by the interaction between humans, monkeys, and vectors. In this study, we determine the protein expression profile of a wild stump-tailed macaque (Macaca arctoides) from a total of 32 blood samples collected from Prachuap Kiri Khan Province, Thailand. The malarial parasite was analyzed using nested polymerase chain reaction (PCR) assays by dividing the samples into three groups: non-infected, mono-infected, and multiple-infected. The identification and differential proteomic expression profiles were determined using liquid chromatography with tandem mass spectrometry (LC-MS/MS) and bioinformatics tools. A total of 9,532 proteins (total proteins) were identified with the filter-based selection methods analysis, and a subset of 440 proteins were found to be different between each group. Within these proteins, the GhostKOALA functional enrichment analysis indicated that 142 important proteins were associated with either of the organismal system (28.87%), genetic information processing (23.24%), environmental information processing (16.20%), metabolism (13.38%), cellular processes (11.97%), or causing human disease (6.34%). Additionally, using interaction network analysis, nine potential reporter proteins were identified. Here, we report the first study on the protein profiles differentially expressed in the serum of wild stump-tailed macaques between non, mono, and multiple malarial infected living in a natural transmission environment. Our findings demonstrate that differentially expressed proteins implicated in host defense through lipid metabolism, involved with TGF pathway were suppressed, while those with the apoptosis pathway, such as cytokines and proinflammation signals were increased. Including the parasite's response via induced hemolysis and disruption of myeloid cells. A greater understanding of the fundamental processes involved in a malarial infection and host response can be crucial for developing diagnostic tools, medication development, and therapies to improve the health of those affected by the disease.

Indexed as

MalariaParasitesAnimalsChromatography, LiquidHumansMacaca arctoidesProteomicsTandem Mass SpectrometryThailand

Identifiers

PMID37910477
PMCPMC10619813
OpenAlexW4388126233

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.