Abstract
Objective
This study investigated how HMO profiles in Chinese mothers’ milk are affected by lactation stage and delivery mode (C-section vs. vaginal).
Study design
The study was based on a cross-sectional multi-center human milk study in China. Twenty-four HMOs were quantified using UPLC/MS/MS, and statistical tools were used to identify profiles and clusters of HMOs. The relationship between HMO concentrations, delivery mode and infant eczema was explored at each lactation stage.
Results
The study included 635 mother-infant pairs. The concentrations of HMOs varied according to lactation stage and five distinct HMO clusters were observed based on significant associations between HMOs. Milk from mothers who delivered by C-section had significantly lower concentrations of 2’FL, LNnT, 3’SL, LNFP-III, DFLNHa, DSLNT, LNDFH-II, LNnDFH-II, and DFpLNnH compared to vaginal delivery. The odds ratio for eczema was reduced in infants whose mothers had higher concentrations of LSTb in mature milk (>90 days).
Conclusion
HMOs in Chinese human milk vary based on lactation stage and cluster based on their structure. C-section delivery lowers the concentrations of several HMOs in the milk compared to vaginal delivery. Higher LSTb inversely associated with parent-reported infant eczema. Further research is required to confirm these findings and to understand the underlying mechanisms.
Keywords: C-section, human milk oligosaccharides, infant allergy, infant eczema, maternal, mode of delivery
1. Introduction
Human milk (HM) is the optimal and recommended sole source of nutrition for the first 6 months of life (1, 2). Breastfeeding is associated with numerous health benefits, including a lower risk of infectious diseases, improved cognitive performance and long-term protection against non-communicable diseases (2). Beyond nutrients, HM acts as a conduit between mother and infant. While macronutrients support infant growth (3), bioactive factors like human milk oligosaccharides (HMOs) have been proposed to play a role in other aspects of infant health (4).
HMOs are non-digestible carbohydrates abundant in HM (5). Research into the role of HMOs over the past decade has begun to elucidate their role in supporting infant health. HMOs are a well-known substrate for beneficial bacteria in the infant gastrointestinal tract and are capable of modulating the microbiome (6). Linked to their effects in the gastrointestinal tract and on the microbiome, HMOs are purported to play a role in supporting immune tolerance (5). Recent evidence indicates they may play a role in allergy prevention (7–11), as well as in reducing the risk of respiratory and rotavirus infections (12–15).
The protective effect of HMOs may in part be linked to their concentrations and profiles in the milk, which have been shown to vary over time and in response to maternal and environmental factors. The HMO profile of HM is determined by the genetic status of the mother (16), and is influenced by lactation stage, gestational age, mode of delivery, maternal nutritional status, and geographic location (4). There is a noteworthy variation in HMO composition across lactation stages (17), which appears to be conserved across different geographical locations (18, 19). Major differences in HMO profiles reflect genetic differences in histo-blood group antigen expression (7, 16, 20). Numerous previous studies have measured HMO composition in milk from lactating mothers across different regions of China (21–29), yet few studies have explored how maternal factors such as giving birth by cesarean section (C-section), affect HMO composition and how HMO composition associates with infant health outcomes (29–32).
C-section delivery, in particular, is one maternal factor that has repeatedly been shown to impact the composition of bioactives in HM (17, 30, 33–37). While the precise mechanism is not completely understood, it is hypothesized that C-section may affect maternal physiology and / or trigger inflammatory processes that affect the secretion of milk bioactives (37, 38). Certain HMOs have been reported to be lower in the milk of mothers who delivered by C-section (2’FL, 3’SL, LNFP-II, LNFP-III, LNnDFH), which also aligns with reports of lower sialic acid in C-section milk (37). In contrast, HMOs such as LNT and 6’SL are reported to be increased in milk from mothers who delivered via C-section (17, 30, 32). Two previous studies have investigated the link between C-section, HMOs and infant allergy, although with inconsistent findings. Chen et al. (32) found higher 2’FL in milk from mothers who delivered via C-section and noted that infants who developed eczema consumed breastmilk with higher 2’FL concentrations. In contrast, Sprenger et al. (8) found a trend toward lower risk of IgE associated eczema when C-section-born infants received breastmilk containing FUT2-dependent milk oligosaccharides.
Given the limited number of studies and inconsistencies in the existing literature, the objective of the current study was to explore the impact of mode of delivery (C-section vs. vaginal) on HMO abundance in the milk. Additionally, we sought to understand if mode of delivery and HMO composition affect infant health outcomes.
2. Methods
2.1. Study design
The current study utilized samples collected from November 2011 to June 2013 within the Chinese Center for Disease Control and Prevention’s cross-sectional multi-center human milk study, detailed in Yin and Yang (39). Human milk samples were collected cross-sectionally across lactation stages from different lactating mothers according to the following definitions: Colostrum, 0–7 days; Transitional milk, 8–21 days; Mature milk 1, 22–50 days; Mature milk 2, 51–90 days; Mature milk 3, 91–340 days. Only mothers of Han ethnicity who delivered at full term (>37 weeks gestation) were included.
This study utilized a combination of two datasets for a larger sample size: an initial set of 437 samples and a later set of 198 samples, totaling 635 subjects from eight provinces and municipalities. Laboratory analyses for the two datasets were completed in 2018 and 2023, respectively. To account for potential batch effects, a dataset variable was included in all analyses.
2.2. Sample and data collection
Detailed information on the milk sampling and data collection can be found in the original publication (39). Briefly, human milk samples were collected at the second morning feed (9:00–11:00 a.m.) using an electric breast pump. Mothers were instructed to empty a single full breast, and an aliquot of 50 mL was used for the characterization of milk composition. The remaining milk was returned to the mother for feeding the infant. Each sample was aliquoted into 15-mL freezing tubes, labeled, and stored at −80 °C until analysis. Retrospective information on infant eczema was collected via parental questionnaire, which was completed during the study visits - “Has your child ever had the following allergic conditions? (1) No, (2) Eczema, (3) Asthma, (4) Atopic dermatitis, (5) Rhinitis, (6) Others, (7) Unknown.” Data on diarrhea and respiratory illness (colds, bronchitis, pneumonia, etc.) were collected during the visit, focusing on occurrence in the past 2 weeks. The study procedures involved one visit where trained staff administered standardized questionnaires. These included one for lactating women, collecting demographic information, socio-economic status, lifestyle and medical history, and another for breastfeeding infants, gathering data on birth outcomes, breastfeeding status, and dietary intake.
2.3. Ethical and legal considerations
Written informed consent was obtained from all subjects. The study was conducted according to the guidelines laid out in the Declaration of Helsinki. The original cross sectional multi-center human milk study was approved by the Ethics Committee of the former National Institute of Nutrition and Food Safety of Chinese Center for Disease Control and Prevention (39). The current study was approved by the Ethical Committee of the National Institute of Nutrition and Health of Chinese Center for Disease Control and Prevention (No. 2022-010).
2.4. HMO analysis
HMOs mentioned in this publication are shown alongside their structures in Supplementary Table S1. Transitions for 24 HMOs were followed by Ultra performance liquid chromatography (UPLC) (Acquity, Waters, Milford, MA, United States) coupled to mass spectrometry (MS) (Xevo TQ-XS, Waters) following the method of Li et al. (22) with minor modifications. Briefly, samples were defrosted at room temperature, then placed in an ultrasonic bath (5–10 min, 35 °C). The sample was mixed well, and an aliquot (50 μL) was mixed with water (700 μL) before centrifugation (7,160 × g, 6 min, 4 °C). An aliquot (100 μL) of the aqueous layer was diluted with ethanol (200 μL) and the mixture was centrifuged (7,160 × g, 6 min, 4 °C). An aliquot (50 μL) of the supernatant was diluted with acetonitrile/water (1/1, 150 μL) and transferred to a vial suitable for the instrument autosampler.
HMOs were separated by UPLC on an Acquity BEH Amide column (130 Å, 1.7 μm, 2.1 × 150 mm, Waters) using a gradient of water in acetonitrile and ammonium acetate (Supplementary Table S2). Electrospray ionization mass spectrometry (MS) was performed in the negative ion mode and oligosaccharides were detected using a multiple reaction monitoring experiment, with desolvation gas at 800 L/h, cone gas at 150 L/h, nebulizer gas pressure at 6.3 bar, capillary voltage at 2.2 kV, cone voltage at 45 V, and capillary temperature at 600 °C. The isobaric pairs of 3’-SLNFP-II and 6’-SLNFP-VI and of LNDFH-I and LNnDFH-I co-eluted, thus only 20 HMOs could be quantified. The HMOs were quantified against an external calibration curve of HMOs which were previously isolated from human milk (22). The specific fragmentation, precursor-to-product ion pair(s) and the collision energy used for each oligosaccharide are listed in Supplementary Table S3.
2.5. Milk group classification
Maternal genetic polymorphisms affecting FUT2 and FUT3 enzyme activity result in four major milk groups with distinct HMO profile. Milk samples were categorized into one of the four milk groups depending on the levels of 2′FL and LNFP-II present in the samples (40). Samples were assigned to milk group 1 if 2′FL levels were greater than 25 mg/L and LNFP-II levels were greater than 35 mg/L. Samples were assigned to milk group 2 if LNFP-II levels were above 35 mg/L and 2’FL levels were below 25 mg/L. Samples were assigned to milk group 3 if 2’FL levels were greater than 25 mg/L and LNFP-II levels were below 35 mg/L. Samples were assigned to milk group 4 if 2’FL levels were below 25 mg/L and LNFP-II levels were below 35 mg/L.
2.6. Statistical analysis
The data analysis focused on 20 independent HMOs available in both datasets. Baseline characteristics were summarized as means ± SD, medians (IQR), or frequencies (%). HMO levels below the lower limit of quantification (LLoQ) were assigned a value of 0.5 × LLoQ. Graphical representations of HMO levels included boxplots for lactation stages and provinces, a Spearman correlation plot for HMOs, and a dendrogram from agglomerative clustering to show hierarchical relationships. Nonparametric tests were applied to skewed logarithmically transformed data. Categorical variables were analyzed using chi-square tests.
The primary analysis focus was to investigate the association between delivery mode and HMO concentrations both overall and by lactation stage based on biological rationale and prior evidence. Multiple linear regression analyses investigated the association between HMO concentrations and delivery modes, adjusting for lactational stage, maternal allergy history, parity, and gestational diabetes mellitus (GDM) history, along with interaction terms involving delivery modes. Logistic regression explored associations between HMO levels and infant health outcomes listed in the design section, adjusting for confounders such as lactational stage, maternal allergy history (specifically for eczema), and interactions terms with lactational stages. Elastic net regression was used as a robustness check. Differences in HMO concentrations are reported as estimated difference in least square means between groups, with respective 95% confidence intervals (CIs). The association between infant health outcomes and HMO concentrations is presented as odds ratios (OR) with 95% CIs.
Statistical analyses were performed using R version 4.5.2 (R Foundation for Statistical Computing, Vienna, Austria) and SAS version 9.4 (SAS Institute Inc., Cary, NC, United States), with significance set at p < 0.05. No overall multiplicity control was applied due to the exploratory nature and sample size. The risk of false discoveries was mitigated by evaluating significance, effect size, and biological plausibility, along with consistency across analyses and alignment with findings from other studies.
3. Results
3.1. Study participants
A total of 692 mother infant pairs were screened for this study. Fifty-seven were subsequently excluded with 43 being excluded due to preterm birth and 14 for not being of Han ethnicity. The remaining 635 mother infant pairs were used for the current analysis. Of these, 298 mothers delivered their infant vaginally and 337 gave birth via C-section. Details of the recruitment can be found in the flow diagram in Supplementary Figure S1.
3.2. Demographic characteristics of mothers and their infants
The characteristics of mothers and their infants are summarized in Table 1. Mothers had a median age of 26.5 years old. All mothers were healthy entering pregnancy and 68.1% had a healthy pre-pregnancy BMI. For the majority it was their first live birth (79.1%). Additionally, 3.2% of mothers reported being diagnosed with GDM during pregnancy, and 12.1% reported a history of allergy.
Table 1.
Maternal and infant characteristics.
| Maternal characteristics | Vaginal birth | C-section | Total N (%) | p value |
|---|---|---|---|---|
| Age, years (min, max) | 26.2 (23.1, 29.3) (n = 298) | 27.3 (24.6, 29.8) (n = 335) | 26.5 (23.6, 29.7) (n = 633) | 0.019 |
| Province and municipalities | <0.001 | |||
| Heilongjiang | 41 (22.2%) | 144 (77.8%) | 185 (29.1%) | |
| Gansu | 66 (86.8%) | 10 (13.2%) | 76 (12%) | |
| Beijing | 41 (50.0%) | 41 (50.0%) | 82 (12.9%) | |
| Shandong | 40 (58.8%) | 28 (41.2%) | 68 (10.7%) | |
| Shanghai | 14 (43.7%) | 18 (56.3%) | 32 (5.0%) | |
| Zhejiang | 6 (22.2%) | 21 (77.8%) | 27 (4.3%) | |
| Guangdong | 42 (47.7%) | 46 (52.3%) | 88 (13.9%) | |
| Yunnan | 48 (62.3%) | 29 (37.7%) | 77 (12.1%) | |
| Pre-pregnancy BMI | 0.091 | |||
| Underweight | 48 (20.3%) | 43 (16.0%) | 91 (18.0%) | |
| Normal | 163 (69.1%) | 181 (67.3%) | 344 (68.1%) | |
| Overweight and obesity | 25 (10.6%) | 45 (16.7%) | 70 (13.9%) | |
| Parity | 0.432 | |||
| 1 | 229 (77.6%) | 266 (80.4%) | 495 (79.1%) | |
| 2 | 66 (22.4%) | 65 (19.6%) | 131 (20.9%) | |
| Allergy history | 0.619 | |||
| Yes | 32 (11.3%) | 42 (12.8%) | 74 (12.1%) | |
| No | 251 (88.7%) | 285 (87.2%) | 536 (87.9%) | |
| GDM | 0.172 | |||
| No | 290 (98%) | 323 (95.8%) | 613 (96.8%) | |
| Yes | 6 (2%) | 14 (4.2%) | 20 (3.2%) | |
| Infant characteristics | Delivered vaginally | C-section | Total N (%) | p value |
|---|---|---|---|---|
| Lactation stages | 0.059 | |||
| Colostrum (1–7 d) | 97 (32.6%) | 81 (24%) | 178 (28%) | |
| Transitional (8–21 d) | 116 (38.9%) | 128 (38%) | 244 (38.4%) | |
| Mature 1 (22–50 d) | 24 (8.1%) | 32 (9.5%) | 56 (8.8%) | |
| Mature 2 (51–90 d) | 15 (5%) | 19 (5.6%) | 34 (5.4%) | |
| Mature 3 (91–340 d) | 46 (15.4%) | 77 (22.9%) | 123 (19.4%) | |
| Infant sex | 0.873 | |||
| Male | 162 (54.4%) | 186 (55.2%) | 348 (54.8%) | |
| Female | 136 (45.6%) | 151 (44.8%) | 287 (45.2%) | |
| Respiratory diseases in previous 2 weeks (cold, bronchitis, pneumonia etc.) | 0.869 | |||
| No | 277 (93.6%) | 314 (94%) | 591 (93.8%) | |
| Yes | 19 (6.4%) | 20 (6%) | 39 (6.2%) | |
| Diarrhea in previous 2 weeks | 0.317 | |||
| No | 276 (92.9%) | 319 (94.9%) | 595 (94.0%) | |
| Yes | 21 (7.1%) | 17 (5.1%) | 38 (6.0%) | |
| Eczema since birth | 0.270 | |||
| No | 271 (92.2%) | 297 (89.5%) | 568 (90.7%) | |
| Yes | 23 (7.8%) | 35 (10.5%) | 58 (9.3%) | |
Over half of infants were male (54.8%). In terms of illness, reports of respiratory illness (colds, bronchitis, pneumonia, etc.) and diarrhea were low for the majority (93.8 and 94.0% no reports, respectively). Prevalence of parent-reported eczema since birth was 9.3%.
Mothers delivering via C-section were slightly older (27.3 vs. 26.2 years; p = 0.019). The province and municipalities they resided in also differed. Aside from these differences, there were no other significant differences between mothers having given birth vaginally or by C-section, or differences between infants having been delivered by either method.
3.3. HMO profiles in Chinese mothers’ milk
The concentration of each HMO across lactation stage is shown in Figure 1. The concentration of most of the HMOs was higher at early stages of lactation and decreased as lactation progressed. A notable exception to this was 3FL, which increased from 261 mg/L (162, 436.5 mg/L) in colostrum to 936 mg/L (630, 1349.6 mg/L) in mature 3 milk (p < 0.001).
Figure 1.
HMO concentrations across lactation stages. Lactation stage was defined as colostrum 0–7 days; transitional 8–21 days, mature 1 22–50 days, mature 2 51–90 days, mature 3 >90 days. Data from n = 635 mothers across 8 provinces and municipalities in China.
The concentration of each HMO according to mother’s resident province and municipality can be found in Supplementary Figure S2. The sample distribution across lactation stages varies among the eight provinces and municipalities (Supplementary Table S4), particularly between Heilongjiang and Gansu, as well as between Shandong and Gansu. Heilongjiang had fewer colostrum samples (18.9% vs. 36.8% in Gansu and 28.0% overall) and thus, showed a more mature milk profile (Mature 3 milk: 25.9% vs. 13.2% in Gansu and. 19.4% overall). Similarly, Shandong demonstrated a more mature milk profile (Mature 1 milk: 20.6% vs. 5.3% in Gansu and 8.8% overall).
Significant correlations were observed between several HMOs, and five HMO clusters were identified (Figure 2). Cluster 1 included LDFT and LNDFHII (difucosylated HMOs). Cluster 2 included MFLNH-I, 2’FL, LNFP-I, LNnT and DFLNHa, with all except LNnT containing an α-1,2-linked fucose residue, thus only found in significant concentrations in milk of secretor mothers. Cluster 3 included LSTb, 3’SL, 6’SL and LSTc (monosialylated HMOs). Cluster 4 included 3FL and LNnDFHII (α-1,3-linked fucoses). Finally, cluster 5 included LNFPII, MFLNnH, MFLNHIII, LNT, DSLNT, LNFPIII and DFpLNnH, mainly comprising HMOs with α-1,3-linked fucose to GlcNAc, as well as LNFP-II which contains an α-1,4-linked fucose, and LNT and DSLNT, which share the common galactose—GlcNAc—galactose core, consistent with other members of this cluster.
Figure 2.
Correlations of measured HMOs based on significant associations. Spearman correlation values range from −1 (dark red) to 1 (dark blue). Size and color of squares is proportional to the correlation coefficient value. The dendrogram on the right is divided into five HMO clusters, delineated by red boxes, with HMOs within the same cluster grouped together within each box. The HMOs in the correlation matrix were reordered based on the clustering results.
3.4. HMO differences by milk groups
Mothers were categorized into one of four milk groups based on the presence or absence of specific α-1,2 and α-1,3/4- fucosylated HMOs as proxies for the activity of fucosyltransferases 2 (FUT2) and 3 (FUT3) (Supplementary Figure S3). LDFT and LNDFH-II were both highest in group 1 mothers’ milk. 2’FL, 3’SL, LNnT, LNFP-I, MFLNH-I and DFLNHa were all highest in group 3 mothers. 3FL, LNFP-II, LNnDFH-II, MFLNnH and DFpLNnH were highest in group 2 mothers and 6’SL, LNT, LNFP-III, DSLNT, LSTb, LSTc and MFLNH-III were all highest in group 4 mothers.
3.5. Impact of delivery mode on HMO profiles
The impact of delivery mode (vaginal vs. C-section birth) on HMO concentrations across lactation stages was explored, while adjusting for parity, maternal allergy, GDM, dataset indicator and interaction terms. Analysis revealed that the associations between delivery mode and HMO concentrations were primarily evident in colostrum and transitional stage (despite a non-significant interaction term delivery mode * lactation stages) (Table 2).
Table 2.
Differences* in HMO concentrations (mg/L) by delivery mode and lactation stage.
| HMO | C-section vs vaginal | C-section | Vaginal | Lactation stage | p-value |
|---|---|---|---|---|---|
| 2’FL | −581.13 (−1084.47, −77.8) | 2416.77 | 2997.90 | Colostrum | 0.024 |
| LNnT | −146.5 (−272.38, −20.62) | 686.66 | 833.16 | Colostrum | 0.023 |
| LNFP-III | −65.05 (−115.34, −14.76) | 391.68 | 456.73 | Colostrum | 0.012 |
| LNnDFH-II | −18.96 (−37.69, −0.24) | 51.50 | 70.46 | Colostrum | 0.048 |
| DFLNHa | −100.28 (−173.66, −26.9) | 305.28 | 405.56 | Colostrum | 0.008 |
| DFpLNnH | −52.59 (−83.92, −21.26) | 181.72 | 234.32 | Colostrum | 0.001 |
| 3’SL | −45.54 (−85.93, −5.15) | 214.36 | 259.91 | Transitional | 0.028 |
| DSLNT | −105.34 (−178.47, −32.22) | 347.99 | 453.33 | Transitional | 0.005 |
| LNDFH-II | −88.08 (−167.48, −8.67) | 126.90 | 214.98 | Mature 1 | 0.030 |
| LNFP-III | −39.02 (−75.25, −2.79) | 324.69 | 363.71 | Avg across lactation | 0.035 |
*The estimated difference between delivery mode at each lactation stage has been adjusted by parity, maternal allergy, GDM, dataset indicator, and interaction terms with delivery modes. Only HMOs with significant differences between delivery models for each lactation stage have been included.
By individual lactation stage, mothers who gave birth via C-section had lower concentrations of 2’FL, LNnT, LNFP-III, DFLNHa, LNnDFH-II and DFpLNnH in colostrum, lower concentrations of 3’SL and DSLNT in transitional milk, and lower concentrations of LNDFH-II in mature milk. Across all lactation stages, mothers who delivered via C-section had lower average concentrations of LNFP-III compared to mothers who delivered vaginally.
3.6. HMO associations with reported eczema, diarrhea and respiratory illness
The association between HMOs and eczema was investigated by adjusting for lactation stage, maternal allergy history and interaction term between HMO and lactation stages. Prevalence of eczema by lactation stage can be visualized in the scatter plot (Supplementary Figure S4). Parent-reported eczema was recorded as occurring anytime since birth (distribution of reported eczema cases across lactation stages is shown in Supplementary Table S5). In the mature 3 lactation stage (>90 days), an inverse association between LSTb concentration and eczema was observed (OR 0.978, p = 0.007; 95% CI: 0.963, 0.994). Specifically, for each 1 mg/L increase in LSTb concentration in mature milk beyond 3 months, the odds of eczema decreased by 2% (Supplementary Table S5). Further analysis incorporating an interaction term between HMO and maternal allergy reinforced this association in Supplementary Table S5. The impact of delivery mode on eczema was also investigated, but no significant association was found (data not shown).
Data were also collected on parent-reported diarrhea and respiratory illness (colds, bronchitis, pneumonia, etc.) as incidences of the illness during the 2 weeks prior to the visit, except for mothers enrolled during colostrum (0–7 days) and transitional milk (8–21 days) collection for whom the period was shorter (7 and 13 days, respectively). No significant associations were observed between measured HMOs and either diarrhea or respiratory illness (data not shown).
4. Discussion
HM is the gold standard for infant nutrition and a biologically active system that supports growth and development in early life (1, 2, 41, 42). Beyond its nutritional components, HM contains a myriad of bioactives—including HMOs—that contribute to infant development (43). Influential predictors of HMO composition and concentration include maternal genetics, lactation stage, gestational age, mode of delivery, maternal nutritional status, and geographic location (4). We found that the profile of HMOs varied across lactation stages, with the majority decreasing in concentration over time, the exception being 3FL, which increased as lactation progressed. These findings align with those of global systematic reviews on HMO concentrations (44), other individual European studies (17), as well as other findings from Asia (45) and Chinese mother-infant cohorts (21, 22, 25, 29).
We investigated the association between HMOs and the mode of infant delivery. Interestingly, we found lower concentrations of LNFP-III across all lactation stages in the milk of mothers who delivered by C-section compared with those who delivered vaginally. Within each lactation stage, specific differences were observed in the HMO composition of milk including, for example, lower 2’FL, LNnT, LNFP-III, LNnDFH-II, DFLNHa, and DFpLNnH in colostrum, lower 3’SL and DSLNT in transitional milk, lower LNDFH-II in mature milk. Lower levels of 2’FL, 3’SL (17, 32) and 6’SL (30) have previously been observed in the colostrum of European and Chinese (Xi’an city) mothers who delivered by C-section compared with those who delivered vaginally.
The precise mechanisms underlying the observed effect of C-section delivery on milk composition are not understood. One hypothesis could involve inflammatory processes: C-section delivery is associated with greater low-grade inflammation, as indicated by higher circulating C-reactive protein (CRP) post-delivery (46). Previous studies have shown an association between maternal conditions linked to elevated CRP (such as overweight) and lower HM carbohydrate (lactose) content (47). In ruminants, inflammatory conditions such as mastitis result in decreased lactose content of the milk (48), as a result of immune activation, which shifts glucose utilization away from lactose synthesis and toward meeting the energy requirements of the activated immune system (49). It could be proposed that a similar mechanism operates in humans and C-section-induced inflammation may result in a reduction in the building blocks for HMO synthesis. The increases in CRP associated with C-section delivery were identified mostly in early lactation and tend to resolve thereafter, which may explain the predominant impact of C-section on HMO composition of the early milk identified in this study. Another possibility is that the hormonal differences induced by C-section compared to vaginal delivery (oxytocin, cortisol, prolactin) may affect the glycosylation machinery necessary for HMO synthesis. Future studies should take into account factors such as labor induction—which is known to impact hormone secretion patterns (50)—as well as whether the C-section was elective or emergency, to help further our understanding of the mechanisms underlying the effect of C-section on the HMO composition of HM.
The current study associated HMO composition with parent-reported outcomes—principally eczema. Higher LSTb concentrations were inversely associated with eczema in both vaginal and C-section born infants, although the effect size was not large. This effect was observed primarily in mature milk, which likely relates to the greater prevalence of eczema during the mature milk feeding period in our cohort (27%) compared with earlier timepoints (1.4%). Existing evidence on the protective effect of human milk and its bioactives in childhood allergy is not conclusive (11). Some studies suggest a protective effect of HMOs on allergy risk (8–10, 46), while others have shown either no significant effect (51, 52) or increased risk (32, 53). Of the protective associations reported, 2’FL and FUT-dependent HMOs were associated with reduced risk of IgE-eczema at 2 years of age (8); while 6’SL, DSLNT, LNFP I, and LNFP-III were associated with lower risk of cow’s milk protein allergy within the first 18 months of life (9).
The protective effects of HMOs on allergy risk may be confounded by infant age and hereditary atopy risk. The associations between LSTb and infant eczema in our study was observed in mothers with (p = 0.05) and without (p = 0.02) a history of allergy. Maternal allergy has been proposed to impact HMOs in the milk and Al-Kaabawi et al. (54) found higher 2’FL, LNFP I, LNT, 3’SL, 6’SL, LSTb, DSLNT, sialylated, neutral, and total HMO concentrations in mature milk of non- allergic mothers compared to allergic mothers. Our cohort was mostly nonatopic (87.9%) and thus, we are unable to explore the relationship between maternal atopy, HMO profiles and eczema. Nonetheless, our finding of varying associations in both atopic and nonatopic mothers may indicate that factors other than maternal atopy are influencing HMO profiles and infant eczema. It would be important for future studies to capture data on infant genetics, since the association of HMOs with allergy may also depend on infant risk status, as was previously shown for C-section born infants (8) and infants with a high genetic risk score (7). Notably, alpha-1,2 fucosylated HMOs like 2’FL, LNFP-I and DFLNHa were observed to possibly have a protective effect on recurrent wheezing in infants with high genetic risk score (7).
The current study enrolled mothers from 8 provinces and municipalities across China. Heilongjiang had fewer colostrum samples and thus, showed a more mature HMO profile compared to other provinces that had a greater number of samples from the earlier lactation stages, which likely affected the HMO concentration and thus, the observed differences between provinces. We are not the first to report regional differences in HMOs: Liu et al. (29) found significant differences in the sum of the 6 measured HMO concentrations (2′FL, 3-FL, LNT, LNnT, 3′SL and 6′SL) across 6 regions in China (Changchun, Lanzhou, Chengdu, Tianjin, Guangzhou, Shanghai) in a population of mostly (>90%) Han ethnicity. While genetic factors may have had an influence, it is also possible that environmental factors such as maternal diet or climate may play a role (29). Additional evidence from studies applying similar sampling and timing, as well as measures of maternal dietary intake, will help to better understand the influence of local environmental factors on differences in HMO profiles across geographies.
The variability in HMO concentrations reported across different populations (44) may in some cases be linked to the geographical distribution of milk groups (55, 56). In the current study, we explored differences in the concentrations of HMOs between four defined groups. The cut offs of 25 mg/L 2′FL and 35 mg/L LNFP-II were used in our study to determine secretor status. The majority (72%) of the mothers in the current cohort presented the secretor phenotype (active FUT2 enzyme), which is similar to what has been reported previously for other Chinese cohorts (30, 57, 58) and fits within the global prevalence values for secretor phenotype of between 64 and 89% (26). LNFP-II was used to determine the status of the other polymorphic fucosyltransferase FUT3. 3FL and LNFP-II show the highest concentrations in milk group 2 and show little presence in milk groups 3 and 4. This is somewhat similar to existing findings where 3FL was still present in group 3 and 4 (17). We identified the highest concentrations of 2’FL, LNnT, LNFP-I and DFLNHa in group 3 milk when FUT2 is active and FUT3 is inactive, as reported previously (16, 17). Similar to previous European studies, we identified LNT, LNFP-III, DSLNT, LSTb and MFLNH-III at higher concentrations when both FUT2 and FUT3 are inactive (milk group 4) (17, 59). In our data, 3’SL and 6’SL seem to be less affected by milk groups, confirming previous reports (17).
Clustering analysis was performed based on the correlations between the measured HMOs over time in mothers’ milk and identified 5 clusters of correlated HMOs. Cluster 1 consisted of two HMOs LDFT and LNDFH-II, both of which are difucoslyated. This specific cluster has not been reported in previous studies, however, LDFT and LNDFH-I have been found to cluster previously (16). Unfortunately, LNDFH-I was not part of the quantified HMOs in the current study. The second cluster we identified contained 2’FL, LNnT, LNFP-I, DFLNHa and MFLNH-I, which—with the exception of LNnT—all contain an α-1,2-linked fucose residue, which are thus only found in significant concentrations in the milk of secretor mothers. Although LNnT is not fucosylated, previous studies (17, 60) show that LNnT tends to be at higher concentrations in the milk of secretor mothers. MFLNH-I was not measured in previous studies reporting HMO cluster analyses. However, 2’FL, LNFP-I DFLNHa and LNnT were previously shown to cluster together (7, 16, 61). Cluster 3 in our study consisted of 6’SL, 3’SL, LSTb and LSTc, all of which are monosialylated HMOs. Both 6’SL and LSTc have previously been shown to cluster together (7, 16). Cluster 4 in our study contained 3FL and LNnDFH-II, which contain only α-1,3-linked fucoses. Both HMOs have previously been reported to cluster together, alongside LNFP-II, -III and -V (16). The final cluster consisted of LNT, DSLNT, LNFP-II, LNFP-III, MFLNnH, MFLNH-III and DFpLNnH. This cluster predominantly contains the HMOs containing α-1,3-linked fucose, the exceptions being LNFP-II - which contains an α-1,4-linked fucose - and LNT and DSLNT. Previous studies (17) have shown that MFLNH-III, DSLNT, LNT and LNFP-III tend to be higher in group 4 milks in which neither FUT2 nor FUT3 are active, and LNFP-II is higher in group 3 milk in which FUT2 is inactive. Neither MFLNH-III nor DFpLNnH were included in the previous study (17) but based on their structural features they could also tend to be higher in group 4 milk in which FUT2 and FUT3 are inactive. In summary, HMOs tend to cluster based on their structure and also potentially maternal genetics. Future studies are warranted to understand the potential functional implications of these clusters in HM.
4.1. Strengths and limitations
This is the first study to explore the association of the 20 HMOs measured with C-section birth and infant eczema—from a large study covering a wide geographical region of China. However, some limitations should be noted. Although the impact of delivery mode on HMO concentrations during lactation stages is supported by prior evidence, the lack of a significant interaction term suggests that these differences need further confirmation in future studies. The impact of other maternal factors such as pre-pregnancy BMI on HMO concentrations was not examined due to missing data regarding pre-pregnancy BMI for 20% of mothers. Additionally, many of the associations were observed in colostrum, a period of substantial variability in HMO concentrations. Future studies with adequate longitudinal sampling across lactation are warranted to verify our findings. It is also important to note that eczema was parent-reported, which may have led to a misclassification of true eczema. Nonetheless, caregiver-reported measures were previously shown to demonstrate sufficient validity for the epidemiological study of eczema (62). The study did not apply false discovery rate control for the association results, which may result in findings that should be interpreted cautiously and validated with additional evidence. We also lacked information on maternal and infant genetics, as well as the infant microbiome. Future studies should include measures of blood specific IgE to validate our findings and provide a more holistic understanding of the role of HMOs in allergy prevention.
5. Conclusion
We identified lower concentrations of HMOs in the milk of Chinese mothers who delivered via C-section compared to those who delivered vaginally. The precise mechanisms underlying these observations should be investigated in future studies. We observed five distinct HMO clusters in the milk of Chinese mothers, which were based on structure, but potentially also maternal genetics. Lastly, LSTb was found to be associated with reduced risk of parent-reported eczema in infants. A more integrative approach - incorporating maternal and infant genetics, infant microbiome and environmental factors—may help to confirm existing evidence on how maternal factors shape HMO concentrations in milk and further shed light on the role of HMOs in supporting immune development in early life.
Acknowledgments
The authors would like to thank the participants of the original China human milk composition database.
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. This study was funded by Société des Produits Nestlé, S. A. The funder had no involvement in the the study design, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.
Footnotes
Edited by: Kripa Raghavan, United States Department of Agriculture (USDA), United States
Reviewed by: Perrine Nadaud, Anses, France
Verawati Sudarma, Trisakti University, Indonesia
Data availability statement
The datasets generated during and/or analyzed during the current study are available from the author on reasonable request. Requests to access the datasets should be directed to yangzy@ninh.chinacdc.cn.
Ethics statement
The studies involving humans were approved by the Ethical Committee of the National Institute of Nutrition and Health of Chinese Center for Disease Control and Prevention (No. 2022-010). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin.
Author contributions
SJ: Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing. FH: Data curation, Formal analysis, Visualization, Writing – original draft, Writing – review & editing. MH: Data curation, Formal analysis, Writing – review & editing. MC: Writing – review & editing. SW: Data curation, Investigation, Methodology, Validation, Writing – review & editing. JY: Investigation, Methodology, Validation, Writing – review & editing. XR: Formal analysis, Writing – review & editing. QL: Project administration, Writing – review & editing. QF: Project administration, Writing – review & editing. IS: Conceptualization, Writing – review & editing. ST: Conceptualization, Writing – review & editing. KY: Conceptualization, Supervision, Writing – review & editing. AB: Writing – review & editing. SA: Data curation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing. NS: Conceptualization, Supervision, Visualization, Writing – original draft, Writing – review & editing. YW: Data curation, Writing – review & editing. ZY: Conceptualization, Data curation, Formal analysis, Investigation, Writing – review & editing. JL: Conceptualization, Investigation, Writing – review & editing. CM: Data curation, Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing.
Conflict of interest
FH, MH, MC, QL, QF, IS, ST, KY, AB, SA, NS, and CM were employed by Société des Produits Nestlé S.A. YW was employed by Beijing Zhongyinghui Nutrition and Health Research Institute.
The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that Generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2026.1804687/full#supplementary-material
References
- 1.World Health Organization. Report of the expert Consultation on the Optimal Duration of Exclusive Breastfeeding. Geneva: World Health Organization; (2001). [Google Scholar]
- 2.Victora CG, Bahl R, Barros AJD, França VA, Horton S, Krasevec J, et al. Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effects. Lancet. (2016) 387:475–90. doi: 10.1016/S0140-6736(15)01024-7 [DOI] [PubMed] [Google Scholar]
- 3.Brockway MM, Daniel AI, Reyes SM, Granger M, McDermid JM, Chan D, et al. Human milk macronutrients and child growth and body composition in the first two years: a systematic review. Adv Nutr. (2024) 15:100149. doi: 10.1016/j.advnut.2023.100149, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sprenger N, Monnard CR. Human Milk research, more to learn? Nestle Nutr Inst Workshop Ser. (2024) 100:56–70. doi: 10.1159/000540139 [DOI] [PubMed] [Google Scholar]
- 5.Sprenger N, Tytgat HLP, Binia A, Austin S, Singhal A. Biology of human milk oligosaccharides: from basic science to clinical evidence. J Hum Nutr Diet. (2022) 35:280–99. doi: 10.1111/jhn.12990, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Masi AC, Stewart CJ. Untangling human milk oligosaccharides and infant gut microbiome. iScience. (2022) 25:103542. doi: 10.1016/j.isci.2021.103542, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ambalavanan A, Chang L, Choi J, Zhang Y, Stickley SA, Fang ZY, et al. Human milk oligosaccharides are associated with maternal genetics and respiratory health of human milk-fed children. Nat Commun. (2024) 15:7735. doi: 10.1038/s41467-024-51743-6, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sprenger N, Odenwald H, Kukkonen AK, Kuitunen M, Savilahti E, Kunz C. FUT2-dependent breast milk oligosaccharides and allergy at 2 and 5 years of age in infants with high hereditary allergy risk. Eur J Nutr. (2017) 56:1293–301. doi: 10.1007/s00394-016-1180-6, [DOI] [PubMed] [Google Scholar]
- 9.Seppo AE, Autran CA, Bode L, Järvinen KM. Human milk oligosaccharides and development of cow’s milk allergy in infants. J Allergy Clin Immunol. (2017) 139:708–711.e5. doi: 10.1016/j.jaci.2016.08.031, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lodge CJ, Lowe AJ, Milanzi E, Bowatte G, Abramson MJ, Tsimiklis H, et al. Human milk oligosaccharide profiles and allergic disease up to 18 years. J Allergy Clin Immunol. (2021) 147:1041–8. doi: 10.1016/j.jaci.2020.06.027, [DOI] [PubMed] [Google Scholar]
- 11.Tarrant I, Finlay BB. Human milk oligosaccharides: potential therapeutic aids for allergic diseases. Trends Immunol. (2023) 44:644–61. doi: 10.1016/j.it.2023.06.003, [DOI] [PubMed] [Google Scholar]
- 12.Stepans MBF, Wilhelm SL, Hertzog M, Rodehorst TKC, Blaney S, Clemens B, et al. Early consumption of human Milk oligosaccharides is inversely related to subsequent risk of respiratory and enteric disease in infants. Breastfeed Med. (2006) 1:207–15. doi: 10.1089/bfm.2006.1.207, [DOI] [PubMed] [Google Scholar]
- 13.Li M, Monaco MH, Wang M, Comstock SS, Kuhlenschmidt TB, Fahey GC, Jr, et al. Human milk oligosaccharides shorten rotavirus-induced diarrhea and modulate piglet mucosal immunity and colonic microbiota. ISME J. (2014) 8:1609–20. doi: 10.1038/ismej.2014.10, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dogra S, Chung C, Wang D, Sakwinska O, Colombo Mottaz S, Sprenger N. Nurturing the early life gut microbiome and immune maturation for long term health. Microorganisms. (2021) 9:2110. doi: 10.3390/microorganisms9102110, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Tonon KM, Chutipongtanate S, Morrow AL, Newburg DS. Human Milk oligosaccharides and respiratory syncytial virus infection in infants. Adv Nutr. (2024) 15:100218. doi: 10.1016/j.advnut.2024.100218, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lefebvre G, Shevlyakova M, Charpagne A, Marquis J, Vogel M, Kirsten T, et al. Time of lactation and maternal Fucosyltransferase genetic polymorphisms determine the variability in human Milk oligosaccharides. Front Nutr. (2020) 7:574459. doi: 10.3389/fnut.2020.574459, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Samuel TM, Binia A, de Castro CA, Thakkar SK, Billeaud C, Agosti M, et al. Impact of maternal characteristics on human milk oligosaccharide composition over the first 4 months of lactation in a cohort of healthy European mothers. Sci Rep. (2019) 9:11767. doi: 10.1038/s41598-019-48337-4, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zhou Y, Sun H, Li K, Zheng C, Ju M, Lyu Y, et al. Dynamic changes in human Milk oligosaccharides in Chinese population: a systematic review and Meta-analysis. Nutrients. (2021) 13:2912. doi: 10.3390/nu13092912, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Thurl S, Munzert M, Boehm G, Matthews C, Stahl B. Systematic review of the concentrations of oligosaccharides in human milk. Nutr Rev. (2017) 75:920–33. doi: 10.1093/nutrit/nux044, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Le Pendu J, Ruvoën-Clouet N. Fondness for sugars of enteric viruses confronts them with human glycans genetic diversity. Hum Genet. (2020) 139:903–10. doi: 10.1007/s00439-019-02090-w, [DOI] [PubMed] [Google Scholar]
- 21.Austin S, De Castro C, Bénet T, Hou Y, Sun H, Thakkar S, et al. Temporal change of the content of 10 oligosaccharides in the Milk of Chinese urban mothers. Nutrients. (2016) 8:346. doi: 10.3390/nu8060346, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Li J, Bi Y, Zheng Y, Cao C, Yu L, Yang Z, et al. Development of high-throughput UPLC-MS/MS using multiple reaction monitoring for quantitation of complex human milk oligosaccharides and application to large population survey of secretor status and Lewis blood group. Food Chem. (2022) 397:133750. doi: 10.1016/j.foodchem.2022.133750, [DOI] [PubMed] [Google Scholar]
- 23.Zhu L, Peng X, Li H, Luo T, Wang J, Gao Y, et al. Systematic characterization of the oligosaccharide profile of human milk in rural areas of Central China: quantitative tracking of human milk oligosaccharide composition during 12 months of lactation. J Agric Food Chem. (2024) 72:22798–813. doi: 10.1021/acs.jafc.4c07225 [DOI] [PubMed] [Google Scholar]
- 24.Ren X, Yan J, Bi Y, Shuttleworth PW, Wang Y, Jiang S, et al. Human Milk oligosaccharides are associated with lactation stage and Lewis phenotype in a Chinese population. Nutrients. (2023) 15:1408. doi: 10.3390/nu15061408, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ma L, McJarrow P, Jan Mohamed HJB, Liu X, Welman A, Fong BY. Lactational changes in the human milk oligosaccharide concentration in Chinese and Malaysian mothers’ milk. Int Dairy J. (2018) 87:1–10. doi: 10.1016/j.idairyj.2018.07.015 [DOI] [Google Scholar]
- 26.Liu S, Mao Y, Wang J, Tian F, Hill DR, Xiong X, et al. Lactational and geographical variation in the concentration of six oligosaccharides in Chinese breast milk: a multicenter study over 13 months postpartum. Front Nutr. (2023) 10:1267287. doi: 10.3389/fnut.2023.1267287, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhang W, Vervoort J, Pan J, Gao P, Zhu H, Wang X, et al. Comparison of twelve human milk oligosaccharides in mature milk from different areas in China in the Chinese human Milk project (CHMP) study. Food Chem. (2022) 395:133554. doi: 10.1016/j.foodchem.2022.133554, [DOI] [PubMed] [Google Scholar]
- 28.Ning Y, Xun Y, Fong B, McJarrow P, Ma L, Jan Mohamed HJ, et al. Analysis of twelve human milk oligosaccharides over fifteen months post-partum in human milk from Chinese mothers. Heliyon. (2024) 10:e39293. doi: 10.1016/j.heliyon.2024.e39293, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Liu F, He S, Yan J, Yan S, Chen J, Lu Z, et al. Longitudinal changes of human milk oligosaccharides, breastmilk microbiome and infant gut microbiome are associated with maternal characteristics. Int J Food Sci Technol. (2022) 57:2793–807. doi: 10.1111/ijfs.15324 [DOI] [Google Scholar]
- 30.Wang X, Liu J, Li C, Xu Y, Wang X, Lu Y, et al. Pregnancy-related diseases and delivery mode can affect the content of human Milk oligosaccharides: a preliminary study. J Agric Food Chem. (2022) 70:5207–17. doi: 10.1021/acs.jafc.2c00147, [DOI] [PubMed] [Google Scholar]
- 31.Wang M, Zhao Z, Zhao A, Zhang J, Wu W, Ren Z, et al. Neutral human Milk oligosaccharides are associated with multiple fixed and modifiable maternal and infant characteristics. Nutrients. (2020) 12:826. doi: 10.3390/nu12030826, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chen Y, Chiou AJ, Leung ASY, Chan KCC, Chang MK, Cheng NS, et al. Human milk oligosaccharides in Chinese lactating mothers and relationship with allergy development in offspring. Asian Pac J Allergy Immunol. (2025) 43:620–8. doi: 10.12932/AP-110922-1453 [DOI] [PubMed] [Google Scholar]
- 33.Zhang J, Zhao A, Lai S, Yuan Q, Jia X, Wang P, et al. Longitudinal changes in the concentration of major human milk proteins in the first six months of lactation and their effects on infant growth. Nutrients. (2021) 13:1476. doi: 10.3390/nu13051476, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Aksan A, Erdal I, Yalcin SS, Stein J, Samur G. Osteopontin levels in human milk are related to maternal nutrition and infant health and growth. Nutrients. (2021) 13:2670. doi: 10.3390/nu13082670, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Hirata N, Kiuchi M, Pak K, Fukuda R, Mochimaru N, Mitsui M, et al. Association between maternal characteristics and immune factors TGF-β1, TGF-β2, and IgA in colostrum: an exploratory study in Japan. Nutrients. (2022) 14:3255. doi: 10.3390/nu14163255, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Liu B, Gu F, Ye W, Ren Y, Guo S. Colostral and mature breast milk protein compositional determinants in Qingdao, Wuhan and Hohhot: maternal food culture, vaginal delivery and neonatal gender. Asia Pac J Clin Nutr. (2019) 28:800–11. doi: 10.6133/apjcn.201912_28(4).0017 [DOI] [PubMed] [Google Scholar]
- 37.Chen Z, Chang Y, Liu H, You Y, Liu Y, Yu X, et al. Distribution and influencing factors of the sialic acid content in the breast milk of preterm mothers at different stages. Front Nutr. (2022) 9:753919. doi: 10.3389/fnut.2022.753919, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Manhardt CT, Punch PR, Dougher CWL, Lau JTY. Extrinsic sialylation is dynamically regulated by systemic triggers in vivo. J Biol Chem. (2017) 292:13514–20. doi: 10.1074/jbc.C117.795138, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Yin S-A, Yang Z-Y. An on-line database for human milk composition in China. Asia Pac J Clin Nutr. (2016) 25:818–25. doi: 10.6133/apjcn.092015.47 [DOI] [PubMed] [Google Scholar]
- 40.Austin S, De Castro CA, Sprenger N, Binia A, Affolter M, Garcia-Rodenas CL, et al. Human Milk oligosaccharides in the Milk of mothers delivering term versus preterm infants. Nutrients. (2019) 11:1282. doi: 10.3390/nu11061282, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Brockway M, Daniel AI, Reyes SM, Gauglitz JM, Granger M, McDermid JM, et al. Human milk bioactive components and child growth and body composition in the first 2 years: a systematic review. Adv Nutr. (2024) 15:100127. doi: 10.1016/j.advnut.2023.09.015, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Christian P, Smith ER, Lee SE, Vargas AJ, Bremer AA, Raiten DJ. The need to study human milk as a biological system. Am J Clin Nutr. (2021) 113:1063–72. doi: 10.1093/ajcn/nqab075, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Smilowitz JT, Allen LH, Dallas DC, McManaman J, Raiten DJ, Rozga M, et al. Ecologies, synergies, and biological systems shaping human milk composition—a report from “breastmilk ecology: genesis of infant nutrition (BEGIN)” working group 2. Am J Clin Nutr. (2023) 117:S28–42. doi: 10.1016/j.ajcnut.2022.11.027, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Soyyılmaz B, Mikš MH, Röhrig CH, Matwiejuk M, Meszaros-Matwiejuk A, Vigsnæs LK. The mean of Milk: a review of human Milk oligosaccharide concentrations throughout lactation. Nutrients. (2021) 13:2737. doi: 10.3390/nu13082737, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Samuel TM, Hartweg M, Lebumfacil JD, Buluran KB, Lawenko RB, Estorninos EM, et al. Dynamics of human milk oligosaccharides in early lactation and relation with growth and appetitive traits of Filipino breastfed infants. Sci Rep. (2022) 12:17304. doi: 10.1038/s41598-022-22244-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Keski-Nisula L, Kirkinen P, Ollikainen M, Saarikoski S. C-reactive protein in uncomplicated parturients delivered by cesarean section. Acta Obstet Gynecol Scand. (1997) 76:862–7. doi: 10.3109/00016349709024366, [DOI] [PubMed] [Google Scholar]
- 47.Sims CR, Lipsmeyer ME, Turner DE, Andres A. Human milk composition differs by maternal BMI in the first 9 months postpartum. Am J Clin Nutr. (2020) 112:548–57. doi: 10.1093/ajcn/nqaa098, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Costa A, Bovenhuis H, Egger-Danner C, Fuerst-Waltl B, Boutinaud M, Guinard-Flament J, et al. Mastitis has a cumulative and lasting effect on milk yield and lactose content in dairy cows. J Dairy Sci. (2025) 108:635–50. doi: 10.3168/jds.2024-25467, [DOI] [PubMed] [Google Scholar]
- 49.Kvidera SK, Horst EA, Abuajamieh M, Mayorga EJ, Fernandez MVS, Baumgard LH. Glucose requirements of an activated immune system in lactating Holstein cows. J Dairy Sci. (2017) 100:2360–74. doi: 10.3168/jds.2016-12001, [DOI] [PubMed] [Google Scholar]
- 50.Nissen E, Uvnäs-Moberg K, Svensson K, Stock S, Widström A-M, Winberg J. Different patterns of oxytocin, prolactin but not cortisol release during breastfeeding in women delivered by caesarean section or by the vaginal route. Early Hum Dev. (1996) 45:103–18. doi: 10.1016/0378-3782(96)01725-2 [DOI] [PubMed] [Google Scholar]
- 51.Siziba LP, Mank M, Stahl B, Kurz D, Gonsalves J, Blijenberg B, et al. Human milk oligosaccharide profiles and child atopic dermatitis up to 2 years of age: the Ulm SPATZ health study. Pediatr Allergy Immunol. (2022) 33:e13740. doi: 10.1111/pai.13740, [DOI] [PubMed] [Google Scholar]
- 52.Sjögren YM, Duchén K, Lindh F, Björkstén B, Sverremark-Ekström E. Neutral oligosaccharides in colostrum in relation to maternal allergy and allergy development in children up to 18months of age. Pediatr Allergy Immunol. (2007) 18:20–6. doi: 10.1111/j.1399-3038.2006.00486.x, [DOI] [PubMed] [Google Scholar]
- 53.Holvoet S, Foata F, Nutten S, Ní Cléirigh E, Shevlyakova M, Kwong Chung C, et al. Impact of consumption of the human milk oligosaccharides 2′-FL and LNnT on reduction of risk of allergic sensitisation. Food Agric Immunol. (2024) 35:2301703. doi: 10.1080/09540105.2023.2301703 [DOI] [Google Scholar]
- 54.Al-Kaabawi A, Landberg E, Martí M, Severin E, Tingö L, Duchén K, et al. Effects of maternal allergy and supplementation with ω-3 fatty acid and probiotic on human milk oligosaccharides. Pediatr Allergy Immunol. (2025) 36:e70162. doi: 10.1111/pai.70162, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.McGuire MK, Meehan CL, McGuire MA, Williams JE, Foster J, Sellen DW, et al. What’s normal? Oligosaccharide concentrations and profiles in milk produced by healthy women vary geographically. Am J Clin Nutr. (2017) 105:1086–100. doi: 10.3945/ajcn.116.139980, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Erney RM, Malone WT, Skelding MB, Marcon AA, Kleman–Leyer KM, O’Ryan ML, et al. Variability of human milk neutral oligosaccharides in a diverse population. J Pediatr Gastroenterol Nutr. (2000) 30:181–92. doi: 10.1097/00005176-200002000-00016, [DOI] [PubMed] [Google Scholar]
- 57.Wu J, Wu S, Huo J, Ruan H, Xu X, Hao Z, et al. Systematic characterization and longitudinal study reveal distinguishing features of human milk oligosaccharides in China. Curr Dev Nutr. (2020) 4:nzaa113. doi: 10.1093/cdn/nzaa113, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Elwakiel M, Hageman JA, Wang W, Szeto IM, van Goudoever JB, Hettinga KA, et al. Human milk oligosaccharides in colostrum and mature milk of Chinese mothers: Lewis positive secretor subgroups. J Agric Food Chem. (2018) 66:7036–43. doi: 10.1021/acs.jafc.8b02021, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Gabrielli O, Zampini L, Galeazzi T, Padella L, Santoro L, Peila C, et al. Preterm Milk oligosaccharides during the first month of lactation. Pediatrics. (2011) 128:e1520–31. doi: 10.1542/peds.2011-1206, [DOI] [PubMed] [Google Scholar]
- 60.Sprenger N, Lee LY, De Castro CA, Steenhout P, Thakkar SK. Longitudinal change of selected human milk oligosaccharides and association to infants’ growth, an observatory, single center, longitudinal cohort study. PLoS One. (2017) 12:e0171814. doi: 10.1371/journal.pone.0171814, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Mainardi F, Binia A, Rajhans P, Austin S, Deoni S, Schneider N. Human milk oligosaccharide composition and associations with growth: results from an observational study in the US. Front Nutr. (2023) 10:1239349. doi: 10.3389/fnut.2023.1239349, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Silverberg JI, Patel N, Immaneni S, Rusniak B, Silverberg NB, Debashis R, et al. Assessment of atopic dermatitis using self-report and caregiver report: a multicentre validation study. Br J Dermatol. (2015) 173:1400–4. doi: 10.1111/bjd.14031, [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the author on reasonable request. Requests to access the datasets should be directed to yangzy@ninh.chinacdc.cn.


