ArticleNature communications2026
Fingerprint profiling human gut microbiota through boronic acid-based sensor array and its application on colorectal cancer classification.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The interplay between gut microbiota and host plays a crucial role in human health and disease pathogenesis. However, current profiling methods for gut microbiota are costly, time-intensive and require specialized instrumentation. Herein, we develop a boronic acid-based sensor array, GUT-SCAN (Gut Unique Typing via Spectral and Chemical Analysis using Boronic Acid Nanosensor), for rapid profiling of human gut microbiota. The sensor array consists of six pH-responsive boronic acid derivatives and three pH environments (6.0, 7.4, and 8.2), forming an 18-channel sensor array. This array successfully distinguishes gut-derived bacteria with 100% accuracy. Additionally, it enables quantification of bacterial species associated with colorectal cancer (CRC) and identification of distinct bacterial compositions at varying mixing ratios. Notably, this sensor array is also capable of discriminating CRC at different stages. The simplicity, rapidity and affordability of this platform highlight its potential for microbiota analysis and its applicability in disease diagnostics, particularly for CRC.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.