Abstract
Background: Human milk oligosaccharide s (HMOs) protect against infection and promote
growth and cognitive development in breastfeeding children. Non -genetic factors which
influence HMO composition in breastfeeding mothers in rural Africa have not been
investigated.
Objective
We undertook a cross-sectional study to determine the association between HMO
profiles and non-genetic maternal factors and children’s sex in Ugandan mother-children pairs.
Method
Human milk was collected from 127 breastfeeding mothers by manual expression.
HMO analysis was by high performance liquid chromatography. The proportion of each HMO
per total HMO concentration was calculated. Spearman’s correlation and Mann-Whitney U test
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were used to assess the relationship between individual HMOs and maternal factors and infant
sex.
Result
Nineteen HMOs were assayed. The prevalence of secretor and non-secretor status,
based on the proportion of mothers with high milk concentrations of 2’FL and LNFP 1 , was
80.3 % and 19.7 %, respectively. In secretor mothers, 2’FL, DFLac and LNFP I constituted >
57 % while in non-secretor mothers LNT and LNFPII constituted 46.9 % of the measured total
HMOs. The median 3’SL concentration in milk of all mothers of male children was
significantly higher than th at in all mothers of female children. The me dian DFLac
concentration in all mothers was significantly higher in multiparous mothers compared to
primiparous mothers. Higher FDSLNH and lower LNH concentrations were observed in
overweight secretor and non-secretor mothers, respectively. Median concentrations of LNFP
I and DSLNT were significantly higher in all mothers
18 years old. Concentrations of specific HMOs increased, decreased, or remained unchanged
with increasing lactation duration in secretor and non-secretor mothers.
Conclusions
Specific HMOs were associated with infant sex and maternal age, parity and
post-partum BMI in Ugandan mothers but were different from those reported in other
populations.
Key words: Human milk oligosaccharides, breastfeeding mothers and children, non -genetic
factors, secretor mothers
Introduction
Human milk oligosaccharides (HMOs), comprises of over 150 non -digestible unconjugated
glycans and constitutes the third most abundant solid component in human milk-besides lipids
and fats (1). HMOs play a critical role in protecting infants against infecti on through
modulation of gut microbiota and the immune system (2 -6). These HMO effects are
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composition- and structure-specific (3, 6). The HMOs basic structure consist of a lactose core
which is modified by glycosyltransferases to form 4 main types of HMOs , namely, non-
fucosylated neutral HMO s containing N-acetylglucosamine at the terminal end, neutral
fucosylated HMO containing fucose at the terminal position, sialylated HMOs containing sialic
acid, and HMOs containing both fucose and sialic acid (1,7,8). HMO composition and
concentration are influenced by maternal genetics. Breastfeeding mothers with an active gene
encoding the α (1,2)-fucosyltransferase (FUT2) enzyme have milk with characteristically high
levels of 2'-FL and Lacto-N-fucopentaose I (LNFPI) and are designated secretor mothers (6).
Women who do not express FUT2 have milk lacking these HMOs and are designated non-
secretors. The prevalence of secretor mothers vary by geographic from a high prevalence in
South America to the lowest prevalence in African countries ranging from 63% in South Africa
to 75 % in Malawi and Kenya (9).
There is evidence that environmental, non-genetic maternal and infants' factors are associated
with differential HMO concentration in Asian, European, Canadian and American populations
(9,10, 1 1). However, there is a dearth of information about the non -genetic factors that
influence HMO composition and concentrations in breastfeeding mothers in African rural
settings. Our study investigated for the first time non-genetic maternal and infant factors that
influence HMO composition and concentration in Ugandan breastfeeding mother-child pairs
in rural northeastern Uganda.
Methods
Study population and design
The study population was part of a cohort who were participating in a prospective longitudinal
study investigating the effectiveness of a malaria vector control intervention in Abwokodia
Parish, Katakwi district in Northeastern Uganda. Details of the study site have been reported
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elsewhere (12). The breast milk sub -study was a clinic based cross -sectional survey of
breastfeeding mother-infant pairs. All breastfeeding infants less than two years old and their
respective breastfeeding mothers were considered eligible for the study up on consent by one
or both parents as applicable. The breastfeeding infants were part of 400 children under 5 years
old who were being followed up for malaria prevalence and incidence. All the identified 127
mother-infant pairs were included in the study (Supplementary Figure 1).
Participants recruitment and anthropometric measurements
The study was conducted in March 2018. Mothers of all breastfeeding infants participating in
the longitudinal study were mobilized by a social scientist with the help of village health teams
(VHTs). Mother-infant pairs visited the study clinic at St. Anne Health Center III, Katakwi
district for screening and enrolment. The objectives of the study were explained to the mothers
and informed consent obtained. Human milk samples were collected from consenting mothers.
The demographic characteristics (infant sex and maternal age, parity, BMI, lactation duration),
and other anthropometric data for mother-child pairs were recorded on a standardized
questionnaire.
Breast milk sampling and treatment
A single 5-mL human milk sample was collected from each of one hundred and twenty-seven
lactating mothers using manual expression with the help of a senior midwife who is also an
experienced lactation nurse. Milk samples were collected into sterile 50 -mL Falcon tubes and
immediately frozen in dry ice (approximately -70°C). Milk samples were transported in dry ice
to Med Biotech Laboratories headquarter in Kampala before being air -freighted in dry ice to
the University of California San Diego for HMO high performance liquid chromatography
(HPLC) analysis.
HMO Extraction, Analysis, and Secretor Status Determination
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HMO (the 19 well characterized and most abundant) analysis was performed at the University
of California, San Diego, as previously described (13), by using HPLC after fluorescent
derivatization. Raffinose was added to each milk sample as an internal standa rd for absolute
quantification. The total concentration of HMOs was calculated as the sum of the specific
oligosaccharides detected. The proportion of each HMO per total HMO concentration was
calculated. Maternal phenotypic secretor status was determined b y the relative abundance
(secretor) or near absence (non-secretor) of the (α 1-2) linked Fuc (2′(-fucosyllactose (2′FL) in
the respective milk samples.
Statistical Analyses
Statistical analyses were performed using GraphPad Prism version 9.0.2 and STATA version
15. The Shapiro Wilk test were used to evaluate the variables' distribution including the
oligosaccharide concentrations. Normally distributed data were compared using Student’s t-
test, the t -test for paired samples or one -way analysis of variance for groups, while non -
parametric comparisons were made using the Mann -Whitney U test for paired samples or
Kruskal-Wallis test for groups. The one-way ANOVA and Kruskal-Wallis tests were followed
up by the appropriate post hoc multiple comparison test. Chi-square or Fisher exact tests were
also performed to compare categorical variables. Exploratory analysis were performed to
compare median oligosaccharide concentrations according to infant sex, maternal age (years),
current BMI (kg/m 2), maternal parity (primiparous/multiparous), and duration of lactation
(weeks). The results were presented as box -plot graphs. Correlations of the oligosaccharide
concentrations with other infant or maternal variables were assessed using the Spearman rank
test with 95% confidence interval. Significance was defined as P values of less than .05.
Ethical consideration
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The Uganda National Council for Science and Technology and the Research Ethics Committee
of the Vector Division, Ministry of Health, approved the original HD4MC study. All mothers
who donated milk samples and brought infants to the malaria clinic signed or thumb-printed
an informed consent form.
Results
Characteristics of the Study Population
The study population comprised of 127 mothers and their breastfeeding children in Katakwi
District in northeastern Uganda. The mothers had a mean age of 26.6 years (range 15-46) with
a post -partum mean BMI of 23.3 kg/m2 ( Table 1 ). Most of the mothers had had several
children (> 78 %) and had breastfed for a mean of 41.3 weeks (range 3-103). The children had
a mean age of 46.5 weeks (range 3-110) and 52.6 % were females. The mean birth weight was
3.1 kg (range 1-4.8). The mean children’s heights/lengths and weights at the time of sampling
were 70.5 cm (range 50 -98) and 8.80 kg (5 -16), respectively. The mean mid -upper arm
circumference for the children was 14.8 cm (range 12.1 -18.7). The mean hemoglobin level in
children was 10.9 g/dL (range 8-11.5). The children had a mean temperature of 36.5 °C (range
35.4-39.4) and the majority (97.7 %) had normal temperature at the time of sampling.
HMO profiles and prevalence of secretor and non-secretor mothers
Mothers with an active secretor (Se) gene that encodes α (1,2)-fucosyltransferase are classified
as “secretors” and their milk contains significantly higher concentrations of α(1,2)-fucosylated
HMOs such as 2′FL, DFLac and LNFP I ( 6). The prevalence of Ugandan secretor and non-
secretor mothers, based on the proportion of mothers with relatively high milk concentrations
of 2’FL and LNFP 1 was 80.3 and 19.7 %, respectively (Table 1). In secretor mothers, 2’FL,
DFLac and LNFP I constituted > 57 % of the measured total HMOs ( Supplementary Table
1). By contrast, 2’FL, DFLac and LNFP I constituted only 1.9 % of the measured HMOs in
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non-secretor mothers in whom LNFP II and LNT alone constituted 46.9 % of the measured
total HMOs.
Infant sex is associated with differential concentrations of 3’SL in all mothers
The median 3’SL concentration in the milk of all mothers combined of male infants was
significantly higher than those in milk of all mothers combined of female infants (701.8 (454.5-
1059.8) nmol/mL versus 516.6 (309.8 -853.8) nmol/mL; P =0.035) by the Mann -Whitney U
test (Supplementary Table 2).
Lactation duration is associated with differential HMO composition
Breastfeeding for 24 months or more is common in the study population and it was of interest
to investigate HMO profiles beyond 12 months post-partum. We used Spearman’s correlation
analysis to assess the relationship between HMO concentrations and lactation duration defined
as the time elapsed from the time of first breastfeeding at birth to the time post-partum of breast
milk sampling . Five and 10 out of the 19 HMOs had a significant positive and negative
correlation, respectively, with lactation duration depending on mothers ’ secretor status
(Supplementary Table 3 ). The results of Mann -Whitney U tests comparing median HMO
concentrations between mothers at different lactation duration s closely paralleled those of
correlation analyses. The concentrations of 3FL, 3’SL and DFLac were significantly higher in
all mothers combined at > 6 months lactation compared to ≤ 6 months lactation (Table 2). By
contrast, the concentrations of LNnT, 6’SL, LSTc, LNH, FLNH, DFLNH, and DSLNH were
significantly lower in all mothers at > 6 months lactation duration. When the mothers’ secretor
status was considered, LNFPI, LNnT, 6’SL, LSTc, FLNH, DFLNH, and DSLNH
concentrations were significantly lower and 3 FL, 3’SL and DFLac concentrations were
significantly higher in secretor mothers at > 6 months lactation ( Figure 1 ). Similar HMO
profiles were observed in non -secretor mothers but LNH and FDSLNH concentrations were
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significantly lower while LNFP I, FLNH and LNnT concentrations were unchanged in mothers
at > 6 months lactation ( Supplementary Figure 2). To see if the dynamics of HMO
composition and concentrations persisted beyond 12 months (52 weeks), we compared HMO
concentrations in groups of all mothers combined at lactation durations of ≤ 12 (N=21), 12-24
(N=14), 25-48 (N=40), 49 -72 (36) and > 73 (N=16) weeks, respectively. The same HMOs
increased, decreas ed, or remained unchanged , respectively, throughout lactation beyond 52
weeks (Figure 2). It was not possible to assess HMO profiles in similar groups of secretor and
non-secretor mothers due to the small sample sizes.
Maternal Age is associated with differential concentrations of 2’FL, DFLac and DSLNT
2’FL and DFLac concentrations had a significant positive correlation with maternal age only
in non -secretor mothers (Supplementary Table 4 ). LNnT had a significant negative
correlation with maternal age in all mothers and secretor mothers but not non-secretor mothers.
Interestingly, DSLNT concentrations had a significant negative correlation with maternal age
in secretor mothers but a positive correlation in non -secretor mothers. Median concentrations
of LNFP I and DSLNT were significantly higher in all mothers 18 years old (N= 123) by Mann -Whitney U test (Supplementary Table 5 ). It
was not possible to compare median HMO concentrations between the two age groups by
secretor status and lactation duration because of the small sample size for the younger mothers.
Maternal Parity is associated with differential concentrations of DFLac in all mothers
To confirm if maternal parity affected HMO concentrations, we defined parity as primiparous
mothers (N= 27) who have had one child versus multiparous mothers (N= 100) who have had
more than one child. The median DFLac concentration was significantly higher in multiparous
all combined mothers compared to primiparous all combined mothers by the Mann-Whitney U
test (Supplementary Table 6). It was not possible to compare median HMO concentrations
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between both parity groups by secretor status and lactation stage because of the small sample
size for primiparous mothers.
Maternal BMI is associated with differential concentrations of FDSLNH and LNH
FDSLNH and LNH concentrations positively and negatively correlated with increasing
maternal postpartum BMI at the time of sampling in secretor and non -secretor mothers,
respectively (Supplementary Table 7). None of the other HMOs had any correlation with
maternal BMI. When secretor mothers were classified into normal weight (BMI= 18.5 -24.9,
N= 81) and overweight (BMI = ≥25, N= 19) categories, median FDSLNH and LNH
concentrations were significantly higher a nd lower, respectively, in overweight mothers by
comparison with normal weight mothers by the Mann -Whitney U test in secretor and non -
secretor mothers, respectively (Supplementary Tables 8 and 9).
Discussion
Non-genetic factors including infant sex and lactation duration which influence HMO
composition have been investigated in breastfeeding mothers from Brazil, China, Europe, and
USA (9,11,15,16,17,19, 20,21,22). The majority of studies of the effect of lactation duration
on HMO composition investigated limited lactation durations of 3 -6 months; only one
longitudinal study followed up breastfeeding mothers for 24 months (35). Despite the
burgeoning literature on HMOs in breastfeeding mothers in African countries (9,33,35,36, 37,
38), there is a knowledge gap about non-genetic factors which influence HMO composition in
mothers in rural and urban African settings. The aim of this study was to determine HMO
profiles in 127 rural Ugandan mothers and assess their relationship with variou s maternal and
infant factors. HMO profiles in Ugandan mothers demonstrated a high prevalence of secretors
(80.3 %) with 2’FL and LNFP I predominating in secretors while LNFP II and LNT
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predominated in non -secretors (prevalence 19.7 %). Lower secretor prevalence has been
reported in mothers from some African populations (9).
Infant sex and maternal parity, age, post -partum BMI and lactation duration were associated
with specific HMO profiles in Ugandan mothers. First, higher concentrations of 3’SL were
observed in mothers of male but not female children in this study. By contrast, in Brazilian and
Chinese mothers significantly higher concentrations of LNT were associated with having male
infants (15, 16). The fact that infant/child male sex is significantly associated with high
concentrations of LNT and 3’SL in different studie s involving different ethnicities suggests
important differential roles for these HMOs in the health and development of male and female
infants in the respective populations. Second, DFLac was significantly higher in milk of
multiparous Ugandan mothers by comparison with primiparous mothers. Maternal parity has
been associated with increased or decreased concentrations of LNT, LNnT and 3FL in
European, Chinese, and Brazilian mothers (11, 15, 17). Third, LNFPI and DSLNT
concentrations were significantly higher in Ugandan mothers under 18 years old by comparison
with older mothers. In a single study involving a limited number of mothers of different
ethnicities, maternal age was associated with increased or increased concentrations of specific
HMOs which were different from those identified in this study (9). Finally, postpartum BMI
was associated with higher and lower concentrations of FDSLNH and LNH, respectively, in
Ugandan mothers. The relationship between pre -partum BMI and HMO composition is
controversial (9, 15, 18, 19, 20,21,22). In this population of Ugandan mothers, the above
maternal and infant factors were associated with specific HMOs which are different from those
reported in other studies (9, 11,15,16,17,18 -22); this observation underscores the im portance
of population context -specific HMO data. The mechanisms underlying the associations
between specific HMOs with maternal factors and infant sex are not known (10).
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Lactation duration was an important non -genetic maternal determinant of HMO profiles in
Ugandan mothers. The fact that concentrations of the same HMOs decreased, increased, or
remained unchanged with increasing lactation duration beyond 52 weeks in Ugandan mothers
probably highlights their importance in the survival and development of breastfeeding infants
and young children especially in resource-poor rural and urban Uganda where infant morbidity,
mortality and malnutrition remains disproportion ately high (23, 24, 25). In this study
population, two HMOs, 2’FL and LNFPI, are associated with protection against malaria in
breastfeeding children (Mwangi et al under review). In prior literature, 2’FL has been
implicated in multiple functions including protection against infections, reduction of morbidity
and use of antipyretics and antibiotics (26, 27); stimulation of brain development (28, 29);
weight gain (19); and improvement of cognitive functions (30). 2’FL also promotes the
selective growth of bifidobacteria and therefore probably influences the composition of gut
microbiota (31) and microbiota-induced immune functions (32) in breastfeeding infants. 2’FL
and 3’FL, which also increased during lactation in Ugandan mothers, have been implicated in
the prevention of mortality in uninfected Zambian infants born to HIV -positive mothers (33).
The exact mechanisms by which HMOs reduce morbidity, prevent mortality and promote
growth and development are unknown but could be associated with their reported anti-infective
activities and effects on immunity (31,32, 34). The mechanisms underlying differences in
HMO profiles during lactation remain speculative (10). There is need for research on the
regulation of the enzymes involved in HMO biosynthesis during la ctation in Africa, a region
fraught with the constant threat of malnutrition and food insecurity which affect HMO
concentrations (39).
This study has several limitations. First, cause -effect relationships between non -genetic
maternal and infant factors cannot be inferred due to the cross -sectional nature of this study.
Second, due to the small sample sizes, we were unable to adjust for multiple testing in statistical
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analyses nor make direct comparisons between secretor and non -secretor mothers. This
Limitation
will be addressed in a planned powered longitudinal study of breastfeeding mother-
child pairs. Third, milk samples were collected at a single time point, rather than longitudinally
over several time points during lactation to monitor postpartum changes in HMO profiles over
time. However, this limitation is mitigated by the fact that our cross -sectional milk sampling
from mothers representing a wide range of lact ation stages produced HMO profiles which
closely mirrored those reported by a longitudinal study of US mothers followed over 24 months
post-partum (35). Finally, the HMO profiles in mothers from north -eastern Uganda, who are
predominantly of the Nilo-Hamitic Atesot tribe, may not be generalizable to mothers in other
Ugandan regions with different environments, diets and tribes.
In conclusion, our studies of non-genetic determinants of HMO composition in rural Ugandan
mothers identified specific HMOs which were associated with infant sex and maternal age,
parity and BMI but were different from those reported in other populations, thereby
underscoring the importance of generating population context -specific HMO data. Our study
revealed HMO profiles in Ugandan mothers with prolonged lactation durations beyond 52
weeks which were remarkably similar to published HMO profiles from mothers with shorter
lactation durations. The conservation of these HMO profiles in different populations, regardless
of environments, diets and ethnicities, probably underscores their importance in infant/child
growth and survival throughout lactation.
Acknowledgments: We are very grateful to the mother -infant pairs for their generosity and
participation. We would like to thank the clinical and laboratory staff of Med Biotech
Laboratories at St Anne HC III Usuk, Katakwi, Uganda.
Funding: Thomas Egwang received funding from the Global Innovation Fund and Grand
Challenges Canada. Lars Bode is UC San Diego Chair of Collaborative Human Milk Research
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endowed by the Family Larsson -Rosenquist Foundation (FLRF), Switzerland. The funders
played no role in the study design, data collection and analysis nor in the preparation of the
manuscript and decision to publish this paper.
Conflict of interest and funding disclosure: The authors have no conflicts of interest to
disclose.
Authors’ contributions to manuscript: TJO and EO conducted the study including sample
collection; TJO drafted the manuscript; SM and CY performed the HMO laboratory analysis;
VIM performed statistical analysis; TGE and LB conceived and directed the study. All authors
read and approved the final manuscript.
Corresponding author: Tonny Jimmy Owalla, P.O. Box 9364 Kampala-Uganda,
+12068543851,
[email protected]
TJO current address: Department of Global Health, University of Washington, Seattle, WA,
USA.
Data Sharing: Data described in the manuscript, code book, and analytic code will be made
available upon request from TGE.
Abbreviations:
2’FL, 2’fucosyllactose
3 FL, 3-fucosyllatose
3’SL, 3’sialyllactose
6’SL, 6’sialyllactose
BMI, body mass index
DFLac, difucosyllactose
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DFLNH, Difucosyllacto-N-hexaose
DFLNT, Difucosyllacto-N-tetrose
DSLNH, disialyllacto-N-tetraose
DSLNT, Disialyllacto-N-tetraose
FDSLNH, Fucosyldisialyllacto-N-hexaose
FLNH, Fucosyllacto-N-hexaose
Fuc HMO, HMO-bound fucose
FUT2, α1,2-fucosyltransferase gene
HMOs, human milk oligosaccharides
LNFPI, lacto-N-fucopentaose I
LNFPII, lacto-N-fucopentaose II
LNFPIII, lacto-N-fucopentaose III
LNH, Lacto-N-hexaose
LNnT, Lacto-N-neotetraose
LNT, Lacto-N-tetraose
LSTb, Sialyllacto-N-tetraose b
LSTc, sialyllacto-N-tetraose c
Sia HMO, HMO-bound sialic acid
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TABLE 1: Characteristics of the study population
Characteristic Mean Range Median ( IQR)
Mothers
Age (years) 26.57 15 - 46 25 (21 - 32)
*Postpartum BMI (Kg/m2) 23.33 18.7 - 31.8 23.1 (21.9 – 24.4)
Lactation duration (Weeks) 41.28 1 - 104 41 (23 - 60)
Infants and young children
Age (weeks) 46.47 3 - 110 44 (28-66)
Birth weight (Kg) 3.14 1 - 4.8 3.1 (2.8 - 3.5)
*Weight (Kg) 8.80 5 - 16 9 (8-10)
*Height/length (cm) 70.50 50 - 98 70 (64 - 76)
*Mid upper arm circumference (cm) 14.82 12.1 - 18.7 14.7 (14-15.5)
*Temperature (oC) 36.5 35.4 - 39.4 36.4 (36.2 – 36.7)
*Hemoglobin (g/dL) 10.92 8 - 13.5 11 (10.3 - 11.8)
* = maternal and infant/child factors measured at sampling; Kg/m2 = kilogram per meter
squared; % = percent; cm = centimetre; °C = degree Celsius; g/dL = grams per decilitre ; IQR
= interquartile range; N = number of independent observations.
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Page 22 of 24
TABLE 2: Median (IQR) HMO concentrations and lactation duration in all mothers
HMOs
nmol/mL
Total (N=127) >6 months (n=89) ≤ 6 months (n=38) Unadjusted
p-value
2'FL 5929.5 (2715.8-
9271.8)
6379.9 (3640.8-
9364.7)
5189.9 (523.6-
9044.3)
0.21
3FL 378.9 (263.8-
606.8)
452.3 (289.4-
687.0)
308.6 (209.2-
400.8)
0.002
LNnT 805.2 (578.2-
1033.5)
751.7 (506.9-
977.6)
937.7 (672.9-
1140.3)
0.020
3'SL 632.0 (353.4-
987.8)
731.6 (411.5-
1101.7)
470.0 (281.5-
737.8)
0.002
DFLac 548.4 (287.0-
881.5)
651.2 (378.9-
1128.3)
403.7 (192.0-
594.8)
<0.001
6’SL 157.8 (102.2-
270.9)
121.1 (82.3-
171.6)
403.4 (218.4-
569.7)
<0.001
LNT 1028.7 (694.8-
1618.0)
964.6 (646.1-
1618.2)
1134.7 (752.7-
1366.6)
0.42
LNFP I 599.3 (172.6-
1863.9)
493.7 (236.9-
1707.5)
1050.3 (109.3-
2411.5)
0.38
LNFP II 1411.1 (721.0-
2551.2)
1428.2 (782.5-
2492.5)
1218.7 (557.0-
2796.8)
0.89
LNFP III 70.0 (55.0-88.8) 69.0 (57.1-83.9) 79.0 (52.7-96.7) 0.18
LSTb 123.5 (90.8-
182.2)
124.7 (94.8-
181.9)
114.2 (90.8-209.9) 0.91
LSTc 46.5 (24.3-93.3) 33.8 (19.3-57.5) 133.1 (73.1-242.4) <0.001
DFLNT 865.9 (122.3-
1576.6)
904.5 (80.4-
1481.6)
825.8 (414.1-
1677.1)
0.13
LNH 71.2 (37.7-106.4) 61.5 (37.2-90.8) 86.1 (52.5-162.0) 0.004
DSLNT 417.2 (274.3-
512.6)
426.5 (274.3-
507.4)
380.8 (280.5-
512.6)
0.98
FLNH 24.2 (13.2-57.0) 20.5 (11.9-35.6) 45.9 (19.7-101.2) <0.001
DFLNH 24.4 (9.4-66.1) 20.3 (9.0-50.9) 32.6 (14.5-80.4) 0.030
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Page 23 of 24
FDSLNH 146.7 (21.1-
310.1)
168.4 (16.9-
290.3)
108.2 (30.6-450.2) 0.27
DSLNH 31.7 (11.6-64.5) 20.7 (6.9-38.5) 81.8 (47.0-125.6) <0.001
Total HMO 16050.6
(13219.4-
17668.9)
16162.0
(13539.2-
17668.9)
15434.5
(11463.8-17416.4)
0.74
Sia HMO 2395.0 (1995.9-
3149.7)
2347.5 (1926.0-
2839.5)
2766.7 (2062.5-
3753.1) 0.030
Fuc HMO 13962.3
(10903.9-
15966.1)
14074.6
(11403.9-
16138.5)
13461.9
(8989.9-14838.5)
0.16
Diversity 4.7 (3.1-6.0) 4.5 (3.0-5.9) 5.2 (3.4-6.1) 0.16
IQR = interquartile range; HMOs = human milk oligosaccharides; N = total number of mothers
sampled; n = number of independent observations per category; > = greater than; ≤ less than
or equal to. HMOs with significant unadjusted p values are in bold.
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Page 24 of 24
Figure legends
FIGURE 1 Concentrations of all measured HMOs before and after 6 months postpartum in
breast milk from secretor Ugandan mother-child pairs. HMO name abbreviations are indicated
in the list of abbreviations. Data are shown as box and whisker plots with the medians and the
lower and upper quartiles or interquartile range (IQR). P values represent the outcomes of
comparisons of two groups by the Mann-Whitney U test.
FIGURE 2 Concentrations of all measured HMOs in five groups of mothers representing
different lactation stages ≤ 12 (N = 21), 13 -24 (N= 14), 25 -48 (N= 40), 49 -72 (N= 36), ≥73
(N= 16) weeks postpartum in breast milk from Ugandan mother -child pairs. A. HMOs whose
concentrations do not change from ≤ 12 to ≥73 weeks. B. HMOs whose concentrations decrease
from ≤ 12 to ≥73 weeks. C. HMOs whose concentrations increase from ≤ 12 to ≥73 weeks.
HMO name abbreviations are indicated in the list of abbreviations. Data are shown as box and
whisker plots with the medians and the lower and upper quartiles or interquartile range (IQR).
P values represent the outcomes of comparisons of two groups by the Mann-Whitney U test.
Supplemental Figure 1 Study participants flow chart.
Supplemental FIGURE 2 Concentrations of all measured HMOs before and after 6 months
postpartum in breast milk from non - secretor Ugandan mother -child pairs. HMO name
abbreviations are indicated in the list of abbreviations. Data are shown as box and whisker plots
with the medians and the low er and upper quartiles or interquartile range (IQR). P values
represent the outcomes of comparisons of two groups by the Mann-Whitney U test.
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≤6 > 6
0
5000
10000
15000
200002'FL
ns
≤6 > 6
0
500
1000
1500
20003FL
✱✱
≤6 > 6
0
500
1000
1500
2000
2500LNnT
✱✱
≤6 > 6
0
2000
4000
60003'SL
✱
≤6 > 6
0
500
1000
1500
2000
2500DFlac
✱✱✱
≤6 > 6
0
500
1000
15006'SL
✱✱✱✱
≤6 > 6
0
1000
2000
3000
4000
5000LNT
ns
≤6 > 6
0
1000
2000
3000
4000
5000LNFP I
✱
≤6 > 6
0
1000
2000
3000
4000
5000LNFP II
ns
≤6 > 6
0
100
200
300LNFP III
ns
≤6 > 6
0
200
400
600
800LSTb
ns
≤6 > 6
0
200
400
600
800
1000
1200LSTc
✱✱✱✱
≤6 > 6
0
1000
2000
3000DFLNT
ns
≤6 > 6
0
100
200
300
400LNH
ns
≤6 > 6
0
200
400
600
800
1000
1200DSLNT
ns
≤6 > 6
0
200
400
600FLNH
✱✱✱
≤6 > 6
0
100
200
300
400DFLNH
✱✱
≤6 > 6
0
200
400
600
800FDSLNH
ns
≤6 > 6
0
100
200
300
400
500DSLNH
✱✱✱✱
≤6 > 6
0
5000
10000
15000
20000
25000Total HMOs
ns
≤6 > 6
0
2000
4000
6000
8000Sia HMO
ns
≤6 > 6
0
5000
10000
15000
20000
25000Fuc HMOs
ns
≤6 > 6
0
2
4
6
8
10Diversity
ns
Figure 1. HMO concentrations and lactation duration in Secretor Mothers
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Suppl Fig 1: Participant flow chart
400 children 2 years old 127 breastfeeding children < 2
years
127 breastfeeding children+
their mothers were enrolled
in the current study
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6'SL Sia HMO FLNH LSTb 2'FL
Suppl. Figure 2. HMO concentrations and lactation duration in Non-secretor Mothers
700
600
500
400
300
200
100
0
ns
≤6 > 6
800
600
400
200
0
ns
≤6 > 6
4000
3000
2000
1000
0
ns
≤6 > 6
3000
2000
1000
0
✱✱
≤6 > 6
400
300
200
100
0
✱
≤6 > 6
1200
1000
800
600
400
200
0
✱✱
≤6 > 6
6000
4000
2000
0
≤6 > 6
200
150
100
50
0
ns
≤6 > 6
5000
4000
3000
2000
1000
0
ns
≤6 > 6
200
150
100
50
0
ns
≤6 > 6
500
400
300
200
100
400
300
200
100
1500
1000
500
✱✱
800
600
400
200
2000 ns
1500
1000
500
0
≤6 > 6
0
≤6 > 6
0
≤6 > 6
0
≤6 > 6
0
≤6 > 6
100
80
60
40
20
0
ns
≤6 > 6
150
100
50
0
≤6 > 6
1200
1000
800
600
400
200
0
✱✱
≤6 > 6
500
400
300
200
100
0
✱✱
≤6 > 6
14000
12000
10000
8000
6000
≤6 > 6
ns
6000
ns
10000 8
ns
4000
2000
0
≤6 > 6
8000
6000
4000
2000
0
≤6 > 6
6
4
2
0
≤6 > 6
ns
ns
✱
ns
ns
ns
LNT DFLNH LSTc 3FL Fuc HMOs
LNnT DFLNT FDSLNH LNFP I
Diversity
LNFP II 3'SL
LNH DSLNH
Total HMOs DSLNT LNFP III DFlac
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