Evidence map›Paper›PMID 36162763›Full record

ArticleActa biomaterialia2022

Smart capsule for targeted proximal colon microbiome sampling.

Sina Nejati, Jiangshan Wang, Sotoudeh Sedaghat, Nicole K Balog, Amanda M Long, Ulisses Heredia Rivera, Venkat Kasi, Kinam Park, Jay S Johnson, Mohit S Verma and 1 more

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Anticancer Potential ofInternational journal of molecular sciences · 2026
    Pooled it
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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

11 authors at 2 institutions in 1 country.

Sina NejatiSchool of Materials Engineering, Purdue University, West Lafayette, IN 47907, United States; Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States.
Jiangshan WangBirck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States; Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, United States.
Sotoudeh SedaghatSchool of Materials Engineering, Purdue University, West Lafayette, IN 47907, United States; Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States.
Nicole K BalogSchool of Materials Engineering, Purdue University, West Lafayette, IN 47907, United States; Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States.
Amanda M LongUSDA-ARS Livestock Behavior Research Unit, West Lafayette, IN 47907, United States.
Ulisses Heredia RiveraSchool of Materials Engineering, Purdue University, West Lafayette, IN 47907, United States; Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States.
Venkat KasiSchool of Materials Engineering, Purdue University, West Lafayette, IN 47907, United States; Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States.
Kinam ParkDepartments of Biomedical Engineering and Pharmaceutics, Purdue University, West Lafayette, IN 47907, United States.
Jay S JohnsonUSDA-ARS Livestock Behavior Research Unit, West Lafayette, IN 47907, United States.
Mohit S VermaBirck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States; Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, United States; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Rahim RahimiSchool of Materials Engineering, Purdue University, West Lafayette, IN 47907, United States; Birck Nanotechnology Center, Purdue University, West Lafayette, IN 47907, United States. Electronic address: rrahimi@purdue.edu.
Purdue University West Lafayette · USAgricultural Research Service · US

Funding

Swallowable smart capsule for targeted gastrointestinal microbiome samplingR21DK128715 · NIDDK · PURDUE UNIVERSITY · PI CAMPBELL, WAYNE W, CROSS, TZU-WEN LIU · 2022 to 2023
$407k
NIDDK NIH HHS R21 DK128715
6 · The paper itself

Abstract

The gastrointestinal (GI) tract, particularly the colon region, holds a highly diverse microbial community that plays an important role in the metabolism, physiology, nutrition, and immune function of the host body. Accumulating evidence has revealed that alteration in these microbial communities is the pivotal step in developing various metabolic diseases, including obesity, inflammatory bowel disease (IBD), and colorectal cancer. However, there is still a lack of clear understanding of the interrelationship between microbiota and diet as well as the effectiveness of chemoprevention strategies, including pre and probiotic agents in modifying the colonic microbiota and preventing digestive diseases. Existing methods for assessing these microbiota-diet interactions are often based on samples collected from the feces or endoscopy techniques which are incapable of providing information on spatial variations of the gut microbiota or are considered invasive procedures. To address this need, here we have developed an electronic-free smart capsule that enables site-specific sampling of the gut microbiome within the proximal colon region of the GI tract. The 3D printed device houses a superabsorbent hydrogel bonded onto a flexible polydimethylsiloxane (PDMS) disk that serves as a milieu to collect the fluid in the gut lumen and its microbiome by rapid swelling and providing the necessary mechanical actuation to close the capsule after the sampling is completed. The targeted colonic sampling is achieved by coating the sampling aperture on the capsule with a double-layer pH-sensitive enteric coating, which delays fluid in the lumen from entering the capsule until it reaches the proximal colon of the GI tract. To identify the appropriate pH-responsive double-layer coating and processing condition, a series of systematic dissolution characterizations in different pH conditions that mimicked the GI tract was conducted. The effective targeted microbial sampling performance and preservation of the smart capsule with the optimized design were validated using both realistic in vitro GI tract models with mixed bacteria cultures and in vivo with pigs as an animal model. The results from 16s rRNA and WideSeq analysis in both in vitro and in vivo studies showed that the bacterial population sampled within the retrieved capsule closely matched the bacterial population within the targeted sampling region (proximal colon). Herein, it is envisioned that such smart sampling capsule technology will provide new avenues for gastroenterological research and clinical applications, including diet-host-microbiome relationships, focused on human GI function and health. STATEMENT OF SIGNIFICANCE: The colonic microbiota plays a major role in the etiology of numerous diseases. Extensive efforts have been conducted to monitor the gut microbiome using sequencing technologies based on samples collected from feces or mucosal biopsies that are typically obtained by colonoscopy. Despite the simplicity of fecal sampling procedures, they are incapable of preserving spatial and temporal information about the bacteria through the gastrointestinal (GI) tract. In contrast, colonoscopy is an invasive and impractical approach to frequently assess the effect of dietary and therapeutic intake on the microbiome and their impact on the health of the patient. Here, we developed a non-invasive capsule that enables targeted sampling from the ascending colon, thereby providing crucial information for disease prediction and monitoring.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsBacteriaColonFecesHumansRNA, Ribosomal, 16SSwineRNA, Ribosomal, 16SColonGastrointestinalMicrobiomepH-responsive polymersSampling Capsule

Identifiers

PMID36162763
PMCPMC9986838
OpenAlexW4296982355

What OpenQuestion holds

Textmetadata
LicenceTDM
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.