Evidence map›Paper›PMID 35205282›Full record

ArticleGenes2022

Evaluation of Bacteria and Fungi DNA Abundance in Human Tissues.

Gabriela E de Albuquerque, Bruno S Moda, Marianna S Serpa, Gabriela P Branco, Alexandre Defelicibus, Isabella K T M Takenaka, Maria G de Amorim, Elizabeth C Miola, Valquiria C A Martins, Katia L Torres and 14 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Frontiers in immunology · 2023
    Article
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

24 authors at 4 institutions in 2 countries.

Gabriela E de AlbuquerqueLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Bruno S ModaLaboratory of Computational Biology and Bioinformatics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Marianna S SerpaLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Gabriela P BrancoLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Alexandre DefelicibusLaboratory of Computational Biology and Bioinformatics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.ORCID 0000-0002-3484-6317
Isabella K T M TakenakaLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Maria G de AmorimLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Elizabeth C MiolaLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Valquiria C A MartinsDepartment of Education and Research, Fundação Centro de Controle de Oncologia do Estado do Amazonas, Manaus 69040-010, AM, Brazil.
Katia L TorresDepartment of Education and Research, Fundação Centro de Controle de Oncologia do Estado do Amazonas, Manaus 69040-010, AM, Brazil.
Stephania M BezerraDepartment of Pathology, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.
Laura C L ClaroDepartment of Pathology, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.
Adriane G PelosofEndoscopy, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.
Claudia Z SztokfiszEndoscopy, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.
Lais L S AbrantesInternational Research Center, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Felipe J F CoimbraDirector Department of Abdominal Surgery, Head Upper GI Oncology Reference Center, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.
Luiz P KowalskiDepartment of Head and Neck Surgery and Otorhinolaryngology, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.
Fábio A AlvesDepartment of Stomatology, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.ORCID 0000-0003-3372-1536
Stênio C ZequiDepartment of Urology, A.C.Camargo Cancer Center, Sao Paulo 01509-001, SP, Brazil.
Klas I UdekwuDepartment of Aquatic Sciences and Assessment, Swedish University of Agriculture, P.O. Box 7050, 75007 Uppsala, Sweden.
Israel T SilvaLaboratory of Computational Biology and Bioinformatics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.ORCID 0000-0002-4687-1499
Diana N NunesLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.
Thais F BartelliLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.ORCID 0000-0002-1373-0112
Emmanuel Dias-NetoLaboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, SP, Brazil.ORCID 0000-0001-5670-8559
AC Camargo Hospital · BRFundação de Amparo à Pesquisa do Estado do Amazonas · BRUniversidade de São Paulo · BRUppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whereas targeted and shotgun sequencing approaches are both powerful in allowing the study of tissue-associated microbiota, the human: microorganism abundance ratios in tissues of interest will ultimately determine the most suitable sequencing approach. In addition, it is possible that the knowledge of the relative abundance of bacteria and fungi during a treatment course or in pathological conditions can be relevant in many medical conditions. Here, we present a qPCR-targeted approach to determine the absolute and relative amounts of bacteria and fungi and demonstrate their relative DNA abundance in nine different human tissue types for a total of 87 samples. In these tissues, fungi genomes are more abundant in stool and skin samples but have much lower levels in other tissues. Bacteria genomes prevail in stool, skin, oral swabs, saliva, and gastric fluids. These findings were confirmed by shotgun sequencing for stool and gastric fluids. This approach may contribute to a more comprehensive view of the human microbiota in targeted studies for assessing the abundance levels of microorganisms during disease treatment/progression and to indicate the most informative methods for studying microbial composition (shotgun versus targeted sequencing) for various samples types.

Indexed as

BacteriaMetagenomicsDNA, FungalFungiHumansSequence Analysis, DNADNA, Fungal16SmetagenomicsmicrobiomemycobiomeqPCRshotgun

Identifiers

PMID35205282
PMCPMC8872151
OpenAlexW4210259933

What OpenQuestion 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 OpenQuestion graph.