Evidence map›Paper›PMID 25071834›Full record

ArticleFrontiers in genetics2014

Evolutionary analysis of the cystatin family in three Schistosoma species.

Yesid Cuesta-Astroz, Larissa L S Scholte, Fabiano Sviatopolk-Mirsky Pais, Guilherme Oliveira, Laila A Nahum

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trichocystatin-2 fromFrontiers in parasitology · 2025
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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 1 country.

Yesid Cuesta-AstrozGrupo de Genômica e Biologia Computacional, Centro de Excelência em Bioinformática, Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, Centro de Pesquisas René Rachou (CPqRR), Fundação Oswaldo Cruz (Fiocruz) Belo Horizonte, Brazil ; Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais Belo Horizonte, Brazil.
Larissa L S ScholteGrupo de Genômica e Biologia Computacional, Centro de Excelência em Bioinformática, Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, Centro de Pesquisas René Rachou (CPqRR), Fundação Oswaldo Cruz (Fiocruz) Belo Horizonte, Brazil ; Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais Belo Horizonte, Brazil.
Fabiano Sviatopolk-Mirsky PaisGrupo de Genômica e Biologia Computacional, Centro de Excelência em Bioinformática, Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, Centro de Pesquisas René Rachou (CPqRR), Fundação Oswaldo Cruz (Fiocruz) Belo Horizonte, Brazil ; Faculdade Infórium de Tecnologia Belo Horizonte, Brazil.
Guilherme OliveiraGrupo de Genômica e Biologia Computacional, Centro de Excelência em Bioinformática, Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, Centro de Pesquisas René Rachou (CPqRR), Fundação Oswaldo Cruz (Fiocruz) Belo Horizonte, Brazil.
Laila A NahumGrupo de Genômica e Biologia Computacional, Centro de Excelência em Bioinformática, Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, Centro de Pesquisas René Rachou (CPqRR), Fundação Oswaldo Cruz (Fiocruz) Belo Horizonte, Brazil ; Faculdade Infórium de Tecnologia Belo Horizonte, Brazil.
Fundação Oswaldo Cruz · BRCentro de Excelência em Bioinformática · BRInstituto Nacional de Ciência e Tecnologia de Doenças Tropicais · BR

Funding

INFORMATICS TRAINING FOR BRAZILIAN VECTOR AND PARASITIC DISEASED43TW007012 · FIC · UNIVERSITY OF GEORGIA (UGA) · PI KISSINGER, JESSICA C · 2004 to 2013
$1.9M
FIC NIH HHS D43 TW007012
6 · The paper itself

Abstract

The cystatin family comprises cysteine protease inhibitors distributed in 3 subfamilies (I25A-C). Family members lacking cystatin activity are currently unclassified. Little is known about the evolution of Schistosoma cystatins, their physiological roles, and expression patterns in the parasite life cycle. The present study aimed to identify cystatin homologs in the predicted proteome of three Schistosoma species and other Platyhelminthes. We analyzed the amino acid sequence diversity focused in the identification of protein signatures and to establish evolutionary relationships among Schistosoma and experimentally validated human cystatins. Gene expression patterns were obtained from different developmental stages in Schistosoma mansoni using microarray data. In Schistosoma, only I25A and I25B proteins were identified, reflecting little functional diversification. I25C and unclassified subfamily members were not identified in platyhelminth species here analyzed. The resulting phylogeny placed cystatins in different clades, reflecting their molecular diversity. Our findings suggest that Schistosoma cystatins are very divergent from their human homologs, especially regarding the I25B subfamily. Schistosoma cystatins also differ significantly from other platyhelminth homologs. Finally, transcriptome data publicly available indicated that I25A and I25B genes are constitutively expressed thus could be essential for schistosome life cycle progression. In summary, this study provides insights into the evolution, classification, and functional diversification of cystatins in Schistosoma and other Platyhelminthes, improving our understanding of parasite biology and opening new frontiers in the identification of novel therapeutic targets against helminthiases.

Indexed as

bayesian inferencefunction predictionphylogenomicsproteinase inhibitorschistosomiasis

Identifiers

PMID25071834
PMCPMC4089355
OpenAlexW1981968296

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.