Evidence map›Paper›PMID 32527226›Full record

ArticleBMC microbiology2020

Elimination of "kitome" and "splashome" contamination results in lack of detection of a unique placental microbiome.

Isoken Nicholas Olomu, Luis Carlos Pena-Cortes, Robert A Long, Arpita Vyas, Olha Krichevskiy, Ryan Luellwitz, Pallavi Singh, Martha H Mulks

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% 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

97 citing papers in PubMed, 2 syntheses or guidelines pooled it, 150 citations in OpenAlex.

  1. Pooled it
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  11. Microbial Contributions to Primate Reproduction.Evolutionary anthropology · 2026
    Review
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37 more citing papers are in PubMed but not listed here.

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

8 authors at 6 institutions in 2 countries.

Isoken Nicholas OlomuDepartment of Pediatrics & Human Development, Division of Neonatology, Michigan State University, East Lansing, MI, USA. Olomui@msu.edu.ORCID 0000-0002-2774-6879
Luis Carlos Pena-CortesFacultad de Ciencias Agrarias, Universidad de Pamplona, Pamplona, Colombia.
Robert A LongDepartment of Obstetrics & Gynecology, Sparrow Hospital, Lansing, MI, USA.
Arpita VyasDepartment of Pediatric Endocrinology, California North State University, Elk Grove, CA, USA.
Olha KrichevskiyDepartment of Obstetrics & Gynecology, Sparrow Hospital, Lansing, MI, USA.
Ryan LuellwitzDepartment of Obstetrics & Gynecology, SSM Health/Dean Medical Group, Madison, WI, USA.
Pallavi SinghDepartment of Biological Sciences, Northern Illinois University, DeKalb, IL, USA.
Martha H MulksDepartment of Microbiology & Molecular Genetics, Michigan State University, East Lansing, MI, USA.
Michigan State University · USSparrow Hospital · USCalifornia Northstate University · USDean Health Systems · USNorthern Illinois University · USUniversity of Pamplona · CO

Funding

College of Human Medicine, Michigan State University (US) RG072756-K5GSD
6 · The paper itself

Abstract

backgroundA placental microbiome, which may be altered in gestational diabetes mellitus (GDM), has been described. However, publications raising doubts about the existence of a placental microbiome that is different than contaminants in DNA extraction kits and reagents ("kitomes") have emerged. The aims of this study were to confirm the existence of a placental microbiome distinct from contaminants and determine if it is altered in GDM mothers.

resultsWe first enrolled normal weight, obese and GDM mothers (N = 17) at term elective cesarean section delivery in a pilot case control study. Bacterial DNA was extracted from placental parenchyma, maternal and cord blood, maternal vaginal-rectal swabs, and positive and negative controls with the standard Qiagen/MoBio Power Soil kit. Placentas had significantly higher copies of bacterial 16S rRNA genes than negative controls, but the placental microbiome was similar in all three groups and could not be distinguished from contaminants in blank controls. To determine the source and composition of the putative placental bacterial community identified in the pilot study, we expanded the study to 10 subjects per group (N = 30) and increased the number and variety of negative controls (N = 53). We modified our protocol to use an ultraclean DNA extraction kit (Qiagen QIAamp UCP with Pathogen Lysis Tube S), which reduced the "kitome" contamination, but we were still unable to distinguish a placental microbiome from contaminants in negative controls. We noted microbial DNA from the high biomass vaginal-rectal swabs and positive controls in placental and negative control samples and determined that this resulted from close proximity well-to-well cross contamination or "splashome". We eliminated this source of contamination by repeating the sequencing run with a minimum of four wells separating high biomass from low biomass samples. This reduced the reads of bacterial 16S rRNA genes in placental samples to insignificant numbers.

conclusionsWe identified the problem of well-to-well contamination ("splashome") as an additional source of error in microbiome studies of low biomass samples and found a method of eliminating it. Once "kitome" and "splashome" contaminants were eliminated, we were unable to identify a unique placental microbiome.

Indexed as

AdultBacteriaCase-Control StudiesCesarean SectionDiabetes, GestationalFemaleFetal BloodHumansInfantObesityOrgan SpecificityPilot ProjectsPlacentaPregnancyRectumRNA, Ribosomal, 16SRNA, Ribosomal, 16SContaminantsKitsMicrobiomePlacentaReagents‘Splashome’

Identifiers

PMID32527226
PMCPMC7291729
OpenAlexW3035400545

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.