ArticlePloS one2026
A Preliminary proteomics-based assessment of biotic indicators in Central Mexican water bodies biotic indicators by proteomics in Mexican water bodies.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human activities such as industrialization, recreation, domestic water use, agriculture, and energy production have significantly increased pollution in water bodies, especially within urban regions. This pollution affects ecological biodiversity, exerting broad impacts on various environmental and public health factors. In response, this study utilized proteomic analysis to characterize the macro- and microbiota community compositions of natural water bodies located across diverse urban and semi-urban regions. Our strategy involved collecting samples from Mexico City as well as the Mexican states of Mexico, Morelos and Guanajuato. Samples were analyzed using liquid chromatography, coupled with High Resolution Mass Spectrometry (LC-HDMS), to detect organisms. Using this approach, we identified protein peptide sequences belonging to diverse taxa, including Plantae, Animalia, Protozoa and Bacteria, encompassing both pathogenic and non-pathogenic organisms. Some identified pathogens are known contributors to disease outbreaks in Mexico. Additionally, other detected organisms provided insights into the ecological structure and biodiversity of the regions surrounding each sampled water body. Further analyses included assessments of species richness, relative abundance, and overall biological diversity. Results provide a fundamental proteomic basis for studying biodiversity in Mexican water bodies, which may serve as a reference for future longitudinal research. Moreover, this approach offers a powerful method for detecting and modeling water contamination caused by human activity.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.