Evidence map›Paper›PMID 41627741›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Microbiome Profiling in Chagas Disease: Sample Collection, Sequencing, and Analysis.

Sergio Castañeda, Juan David Ramírez, Cristina Poveda

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sergio CastañedaCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Juan David RamírezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Cristina PovedaDepartment of Pediatrics, Division of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA. Cristina.Poveda@bcm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chagas disease, caused by Trypanosoma cruzi, leads to chronic cardiac and gastrointestinal complications. Emerging evidence shows the gut microbiome plays a key role in modulating disease severity, with shifts in microbial composition influencing immune responses and metabolic pathways. Here, we describe a workflow for microbiome analysis in T. cruzi-infected mice. Methods included sample collection from feces and gastrointestinal tissues, DNA extraction, sequencing, and quality control. Then, we outline bioinformatic analyses covering taxonomic profiling, diversity assessment, and microbial network construction. Finally, protocols for functional prediction tools are also included to explore microbial capabilities and the identification of signatures associated with disease progression.

Indexed as

Chagas DiseaseGastrointestinal MicrobiomeMicrobiotaAnimalsComputational BiologyFecesHigh-Throughput Nucleotide SequencingMiceSequence Analysis, DNATrypanosoma cruziChagas diseaseGut microbiomeHost–microbiota interactionMicrobial diversitySequencingTrypanosoma cruzi

Identifiers

PMID41627741

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.