Evidence map›Paper›PMID 33879051›Full record

ArticleBMC genomics2021

Variation of microRNA expression in the human placenta driven by population identity and sex of the newborn.

Song Guo, Shuyun Huang, Xi Jiang, Haiyang Hu, Dingding Han, Carlos S Moreno, Genevieve L Fairbrother, David A Hughes, Mark Stoneking, Philipp Khaitovich

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Review
  4. The Placenta's Role in Sexually Dimorphic Fetal Growth Strategies.Reproductive sciences (Thousand Oaks, Calif.) · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  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

10 authors.

Song GuoSkolkovo Institute of Science and Technology, 121205, Moscow, Russia.
Shuyun HuangCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, CAS, 320 Yue Yang Road, Shanghai, 200031, China.
Xi JiangCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, CAS, 320 Yue Yang Road, Shanghai, 200031, China.
Haiyang HuCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, CAS, 320 Yue Yang Road, Shanghai, 200031, China.
Dingding HanCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, CAS, 320 Yue Yang Road, Shanghai, 200031, China.
Carlos S MorenoDepartment of Pathology and Laboratory Medicine and Department of Biomedical Informatics, Emory University, Atlanta, GA, 30322, USA.
Genevieve L FairbrotherObstetrics and Gynecology of Atlanta, 1100 Johnson Ferry Rd NE Suite 800, Center 2, Atlanta, GA, 30342, USA.
David A HughesMRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK.
Mark StonekingMax Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany. stonekg@eva.mpg.de.
Philipp KhaitovichSkolkovo Institute of Science and Technology, 121205, Moscow, Russia. khaitovich@eva.mpg.de.

Funding

Wellcome Trust 202802/Z/16/Z
6 · The paper itself

Abstract

backgroundAnalysis of lymphocyte cell lines revealed substantial differences in the expression of mRNA and microRNA (miRNA) among human populations. The extent of such population-associated differences in actual human tissues remains largely unexplored. The placenta is one of the few solid human tissues that can be collected in substantial numbers in a controlled manner, enabling quantitative analysis of transient biomolecules such as RNA transcripts. Here, we analyzed microRNA (miRNA) expression in human placental samples derived from 36 individuals representing four genetically distinct human populations: African Americans, European Americans, South Asians, and East Asians. All samples were collected at the same hospital following a unified protocol, thus minimizing potential biases that might influence the results.

resultsSequence analysis of the miRNA fraction yielded 938 annotated and 70 novel miRNA transcripts expressed in the placenta. Of them, 82 (9%) of annotated and 11 (16%) of novel miRNAs displayed quantitative expression differences among populations, generally reflecting reported genetic and mRNA-expression-based distances. Several co-expressed miRNA clusters stood out from the rest of the population-associated differences in terms of miRNA evolutionary age, tissue-specificity, and disease-association characteristics. Among three non-environmental influenced demographic parameters, the second largest contributor to miRNA expression variation after population was the sex of the newborn, with 32 miRNAs (3% of detected) exhibiting significant expression differences depending on whether the newborn was male or female. Male-associated miRNAs were evolutionarily younger and correlated inversely with the expression of target mRNA involved in neuron-related functions. In contrast, both male and female-associated miRNAs appeared to mediate different types of hormonal responses. Demographic factors further affected reported imprinted expression of 66 placental miRNAs: the imprinting strength correlated with the mother's weight, but not height.

conclusionsOur results showed that among 12 assessed demographic variables, population affiliation and fetal sex had a substantial influence on miRNA expression variation among human placental samples. The effect of newborn-sex-associated miRNA differences further led to expression inhibition of the target genes clustering in specific functional pathways. By contrast, population-driven miRNA differences might mainly represent neutral changes with minimal functional impacts.

Indexed as

MicroRNAsPlacentaFemaleGene Expression ProfilingHumansInfant, NewbornMaleOrgan SpecificityPregnancyRNA, MessengerSex CharacteristicsMicroRNAsRNA, MessengerHumanImprintingmiRNANewbornPlacentaPopulationsSexual dimorphism

Identifiers

PMID33879051
PMCPMC8059241

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.