Male microchimerism in females: a quantitative study of twin pedigrees to investigate mechanisms

Abstract

Study question: Does having a male co-twin, older brothers, or sons lead to an increased probability of persistent male microchimerism in female members of twin pedigrees?

Summary answer: The presence of a male co-twin did not increase risk of male microchimerism and the prevalence of male microchimerism was not explained by having male offspring or by having an older brother.

What is known already: Microchimerism describes the presence of cells within an organism that originate from another zygote and is commonly described as resulting from pregnancy in placental mammals. It is associated with diseases with a female predilection including autoimmune diseases and pregnancy-related complications. However, microchimerism also occurs in nulliparous women; signifying gaps in the understanding of risk factors contributing to persistent microchimerism and the origin of the minor cell population.

Study design, size, duration: This cross-sectional study composed of 446 adult female participants of the Netherlands Twin Register (NTR).

Participants/materials, setting, methods: Participants included in the study were female monozygotic (MZ) twins, female dizygotic same-sex twins and females of dizygotic opposite-sex twin pairs, along with the mothers and sisters of these twins. Peripheral blood samples collected from adult female participants underwent DNA extraction and were biobanked prior to the study. To detect the presence of male-origin microchimerism, DNA samples were tested for the relative quantity of male specific Y chromosome gene DYS14 compared to a common β-globin gene using a highly sensitive quantitative PCR assay.

Main results and the role of chance: We observed a large number of women (26.9%) having detectable male microchimerism in their peripheral blood samples. The presence of a male co-twin did not increase risk of male microchimerism (odds ratio (OR) = 1.23: SE 0.40, P = 0.61) and the prevalence of male microchimerism was not explained by having male offspring (OR 0.90: SE 0.19, P = 0.63) or by having an older brother (OR = 1.46: SE 0.32, P = 0.09). The resemblance (correlation) for the presence of microchimerism was similar (P = 0.66) in MZ pairs (0.27; SE 0.37) and in first-degree relatives (0.091; SE 0.092). However, age had a positive relationship with the presence of male microchimerism (P = 0.02).

Limitations, reasons for caution: After stratifying for variables of interest, some participant groups resulted in a low numbers of subjects. We investigated microchimerism in peripheral blood due to the proposed mechanism of cell acquisition via transplacental blood exchange; however, this does not represent global chimerism in the individual and microchimerism may localize to numerous other tissues.

Wider implications of the findings: Immune regulation during pregnancy is known to mitigate allosensitization and support tolerance to non-inherited antigens found on donor cells. While unable to identify a specific source that promotes microchimerism prevalence within pedigrees, this study points to the underlying complexities of natural microchimerism in the general population. These findings support previous studies which have identified the presence of male microchimerism among women with no history of pregnancy, suggesting alternative sources of microchimerism. The association of detectable male microchimerism with age is suggestive of additional factors including time, molecular characteristics and environment playing a critical role in the prevalence of persistent microchimerism. The present study necessitates investigation into the molecular underpinnings of natural chimerism to provide insight into women's health, transplant medicine and immunology.

Study funding/competing interest(s): This work is funded by Royal Netherlands Academy of Science Professor Award (PAH/6635 to D.I.B.); The Netherlands Organisation for Health Research and Development (ZonMw)-Genotype/phenotype database for behavior genetic and genetic epidemiological studies (ZonMw 911-09-032); Biobanking and Biomolecular Research Infrastructure (BBMRI-NL, 184.021.007; 184.033.111); The Netherlands Organisation for Scientific Research (NWO)-Netherlands Twin Registry Repository (NWO-Groot 480-15-001/674); the National Institutes of Health-The Rutgers University Cell and DNA Repository cooperative agreement (NIMH U24 MH068457-06), Grand Opportunity grants Integration of genomics and transcriptomics in normal twins and major depression (NIMH 1RC2 MH089951-01), and Developmental trajectories of psychopathology (NIMH 1RC2 MH089995); and European Research Council-Genetics of Mental Illness (ERC 230374). C.B.L. declares a competing interest as editor-in-chief of Human Reproduction and his department receives unrestricted research grants from Ferring, Merck and Guerbet. All remaining authors have no conflict-of-interest to declare in regards to this work.

Trial registration number: N/A.

Keywords: chimerism; dizygotic twins; female; microchimerism; monozygotic twins; pedigree; twins.

Figure 1

qPCR data for the analysis of male genome equivalents by measure of DYS14 and β-globin targets. (A) A plot of standard curves generated using known human genomic samples; (B) an amplification plot for a negative control sample with measure of β-globin and no detection of DYS14. (C) An amplification plot for a positive control sample with detectable measurement of both DYS14 and β-globin targets.

Figure 2

Prevalence of male microchimerism (MCH) in women, stratified by pedigree position. MZ, monozygotic twins; DZss, dizygotic same-sex twins; DOS, dizygotic opposite-sex twins.

Figure 3

Prevalence of male microchimerism (MCH) in females with and without an older brother, a son, or both an older brother and a son.

Figure 4

Male microchimerism concordance within families. Data are presented for pairs of relatives including: DZss (dizygotic same-sex) twins, MZ (monozygotic) twins, and mother with singleton sister and twin, and twin-sister.

Figure 5

Male genome equivalents (GEq) per one million cells by each participant with detectable male GEq. The data are stratified by participant group. Descriptive statistics presented as Median (IQR). MZ, monozygotic twins; DZss, dizygotic same-sex twins; DOS, dizygotic opposite-sex twins. Male GEqs, male genome equivalents per million.

Figure 6

Age distribution of individuals with detectable male microchimerism at a concentration of <80 male genome equivalents per million (GEq) (n = 114) or outliers with >80 male GEq (n = 6).