Evidence map›Paper›PMID 36142163›Full record

ArticleInternational journal of molecular sciences2022

Gut Microbiota Functional Traits, Blood pH, and Anti-GAD Antibodies Concur in the Clinical Characterization of T1D at Onset.

Federica Del Chierico, Giorgia Conta, Maria Cristina Matteoli, Alessandra Fierabracci, Sofia Reddel, Gabriele Macari, Simone Gardini, Valerio Guarrasi, Stefano Levi Mortera, Valeria Marzano and 8 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Advances in Immunotherapeutic Approaches to Type 1 Diabetes.International journal of molecular sciences · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Pathophysiology of Type 1 Diabetes and Gut Microbiota Role.International journal of molecular sciences · 2022
    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

18 authors at 3 institutions in 1 country.

Federica Del ChiericoMultimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.ORCID 0000-0002-4204-4736
Giorgia ContaDepartment of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-5701-8936
Maria Cristina MatteoliDiabetes & Growth Disorders Unit, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.
Alessandra FierabracciInfectivology and Clinical Trials Research Department, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.ORCID 0000-0003-3078-9754
Sofia ReddelMultimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.
Gabriele MacariGenomeUp SRL, 00144 Rome, Italy.
Simone GardiniGenomeUp SRL, 00144 Rome, Italy.
Valerio GuarrasiGenomeUp SRL, 00144 Rome, Italy.ORCID 0000-0002-1860-7447
Stefano Levi MorteraMultimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.ORCID 0000-0001-6184-0933
Valeria MarzanoMultimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.ORCID 0000-0001-6364-2121
Pamela VernocchiMultimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.
Fabio SciubbaDepartment of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-1982-2712
Federico MariniNMR-Based Metabolomics Laboratory of Sapienza (NMLab), Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-8266-1117
Annalisa DeodatiDiabetes & Growth Disorders Unit, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.
Novella RapiniDiabetes & Growth Disorders Unit, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.
Stefano CianfaraniDiabetes & Growth Disorders Unit, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.
Alfredo MiccheliDepartment of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-1487-4043
Lorenza PutignaniDepartment of Diagnostic and Laboratory Medicine, Unit of Microbiology and Diagnostic Immunology, Unit of Microbiomics and Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.ORCID 0000-0003-0134-2830
Bambino Gesù Children's Hospital · ITSapienza University of Rome · ITUniversity of Rome Tor Vergata · IT

Funding

Italian Ministry of Health Ricerca Corrente 2017, 2018, 2019 and 5 ‰ 2020, assigned to LP
6 · The paper itself

Abstract

Alterations of gut microbiota have been identified before clinical manifestation of type 1 diabetes (T1D). To identify the associations amongst gut microbiome profile, metabolism and disease markers, the 16S rRNA-based microbiota profiling and

Indexed as

Diabetes Mellitus, Type 1Gastrointestinal MicrobiomeBiomarkersEubacterialesHumansHydrogen-Ion ConcentrationIsobutyratesMalonatesPurinesPyrimidinesRNA, Ribosomal, 16SBiomarkersIsobutyratesMalonatesPurinesPyrimidinesRNA, Ribosomal, 16Santi-GAD antibodygut microbiota ecology and metabolomeinsulin needketoacidosismicrobial biomarkersomics data integrationpediatricstype 1 diabetes (T1D)

Identifiers

PMID36142163
PMCPMC9499637
OpenAlexW4295064259

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.