Evidence map›Paper›PMID 36111147›Full record

SynthesisFrontiers in physiology2022

A systematic review on omics data (metagenomics, metatranscriptomics, and metabolomics) in the role of microbiome in gallbladder disease.

Paola Di Carlo, Nicola Serra, Rosa Alduina, Riccardo Guarino, Antonio Craxì, Anna Giammanco, Teresa Fasciana, Antonio Cascio, Consolato M Sergi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  6. Article
  7. Genetics, transcriptomics, metagenomics, and metabolomics in the pathogenesis and prediction of atrial fibrillation.European heart journal supplements : journal of the European Society of Cardiology · 2024
    Article
  8. Article
  9. Review
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

9 authors at 3 institutions in 2 countries.

Paola Di CarloDepartment of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence G. D'Alessandro, Section of Infectious Disease, University of Palermo, Palermo, Italy.
Nicola SerraDepartment of Public Health, University "Federico II", Naples, Italy.
Rosa AlduinaDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Palermo, Italy.
Riccardo GuarinoDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Palermo, Italy.
Antonio CraxìDepartment of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence G. D'Alessandro, Section of Gastroenterology, University of Palermo, Palermo, Italy.
Anna GiammancoDepartment of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence G. D'Alessandro, Section of Microbiology, University of Palermo, Palermo, Italy.
Teresa FascianaDepartment of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence G. D'Alessandro, Section of Microbiology, University of Palermo, Palermo, Italy.
Antonio CascioDepartment of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence G. D'Alessandro, Section of Infectious Disease, University of Palermo, Palermo, Italy.
Consolato M SergiChildren's Hospital of Eastern Ontario (CHEO), University of Ottawa, Ottawa, ON, Canada.
University of Palermo · ITFederico II University Hospital · ITStollery Children's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiotas are the range of microorganisms (mainly bacteria and fungi) colonizing multicellular, macroscopic organisms. They are crucial for several metabolic functions affecting the health of the host. However, difficulties hamper the investigation of microbiota composition in cultivating microorganisms in standard growth media. For this reason, our knowledge of microbiota can benefit from the analysis of microbial macromolecules (DNA, transcripts, proteins, or by-products) present in various samples collected from the host. Various omics technologies are used to obtain different data. Metagenomics provides a taxonomical profile of the sample. It can also be used to obtain potential functional information. At the same time, metatranscriptomics can characterize members of a microbiome responsible for specific functions and elucidate genes that drive the microbiotas relationship with its host. Thus, while microbiota refers to microorganisms living in a determined environment (taxonomy of microorganisms identified), microbiome refers to the microorganisms and their genes living in a determined environment and, of course, metagenomics focuses on the genes and collective functions of identified microorganisms. Metabolomics completes this framework by determining the metabolite fluxes and the products released into the environment. The gallbladder is a sac localized under the liver in the human body and is difficult to access for bile and tissue sampling. It concentrates the bile produced in the hepatocytes, which drains into bile canaliculi. Bile promotes fat digestion and is released from the gallbladder into the upper small intestine in response to food. Considered sterile originally, recent data indicate that bile microbiota is associated with the biliary tract's inflammation and carcinogenesis. The sample size is relevant for omic studies of rare diseases, such as gallbladder carcinoma. Although in its infancy, the study of the biliary microbiota has begun taking advantage of several omics strategies, mainly based on metagenomics, metabolomics, and mouse models. Here, we show that omics analyses from the literature may provide a more comprehensive image of the biliary microbiota. We review studies performed in this environmental niche and focus on network-based approaches for integrative studies.

Indexed as

bilecancergallbladder diseasehuman microbiotataxonomy

Identifiers

PMID36111147
PMCPMC9468903
OpenAlexW4293555157

What Socratic 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 Socratic graph.