Skip to main content

ORIGINAL RESEARCH article

Front. Immunol., 25 February 2021
Sec. Nutritional Immunology
This article is part of the Research Topic Immunity in Infancy and Impact on Immediate and Long-Term Health View all 16 articles

Galectin-Levels Are Elevated in Infants Born Preterm Due to Amniotic Infection and Rapidly Decline in the Neonatal Period

  • 1Department of Pediatrics, University of Luebeck, University Hospital of Schleswig-Holstein, Lübeck, Germany
  • 2German Center for Infection Research, Lübeck, Germany
  • 3Department of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
  • 4Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Charité—Universitätsmedizin Berlin, Berlin, Germany
  • 5Charité-Universitätsmedizin Berlin, Division of General Internal and Psychosomatic Medicine, Berlin, Germany
  • 6Laboratorio de Medicina Experimental, Hospital Alemán-Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
  • 7Department of Paediatrics, University of Würzburg, Würzburg, Germany

Galectin (gal)-1, -3, and -9 are members of a family of glycan binding proteins that mediate complex interactions between decidual, inflammatory and trophoblast cells modulating several processes during gestation, control of the maternal immune system, and parturition. Their immunomodulatory role in preterm birth and postnatal expression in preterm infants is unknown. We performed a single center prospective study of 170 preterm infants with a gestational age below 35 weeks. Peripheral venous blood samples were collected during the neonatal period and galectin-1, -3, and -9 were determined by ELISA. We noted a strong decline of circulating gal-1 and -3 levels but not gal-9 from birth to day 7 of life. There was an inverse correlation of gal-1 and -3 levels at birth with gestational age. Gal-1 levels were remarkably increased in infants born to amniotic infection syndrome (AIS), which was also observed for gal-9 levels. Infants who developed early-onset sepsis had higher levels of gal-3 at day 1 as compared to unaffected infants. Our observational data imply that galectin-1, -3, and -9 levels are elevated in preterm infants born in an inflammatory milieu such as AIS or EOS. Future studies need to address whether galectins mediate inflammation-induced preterm birth and could therefore be a target for clinical trials.

Introduction

Preterm birth remains an unresolved health problem, accounting worldwide for an approximate 10% of live births. Preterm infants are predisposed to sepsis due to vulnerable body surfaces, immature immunity, and a variety of injurious exposures, particularly in the first 4 weeks of life. This is a continuing challenge to clinicians involved in the care of preterm infants, as sepsis and sustained inflammation are regarded as crucial mediators for mortality and the development of long-term morbidities (1). Hence there is an urgent need to identify risk factors and biomarkers aiming at prevention and early treatment of sepsis.

Galectins, a family of glycan binding proteins, are multifactorial regulators of pregnancy associated process including cellular interactions between decidual, inflammatory, and trophoblast cells during gestation and parturition (2). Based on their structure, galectins are classified into three different types (3): 1) prototype [e.g., galectin- 1 (gal-1)], containing one carbohydrate recognition domain (CRD) per subunit that can dimerize, 2) chimera-type (gal-3), with a carboxyl-terminal CRD joined to an amino-terminal peptide allowing pentamer formation, and 3) tandem-repeat (gal-9), displaying two CRD joined by a functional linker peptide. Their main functions during gestation is the control of the maternal immune system, regulation of placental development, and expansion of the maternal-placental vasculature (46). Although data on galectins and parturition is relatively scarce, a dysregulation of the glycan binding proteins has been discussed (2). Gal-1 is the most abundant galectin in the human decidua at term, however its decidual expression and that of gal-3 decreased as laboring progressed (7). Maternal gal-9 circulating levels are elevated at the time of parturition but returning to non-pregnant levels during postpartum (8). Consistent with this, the chimera lectin, gal-3 is highly expressed at the decidual and placental compartment and after parturition its expression dramatically decreased as the implantations sites resorbed (9, 10). Although galectin interactions during gestation are well characterized, the potential outcome of these interactions in the context of preterm birth are poorly defined. For instance, a transcriptomic and proteomic profiling comparing changes in choriodecidual tissue from women who suffered from spontaneous preterm labor and gestational-matched non-laboring controls has identified gal-1 to be upregulated only during preterm labor, suggesting a possible association with the underlying pathology (11). In this context, gal-1 expressed on decidual cells has been shown to down-regulate the IL-6 induced by LPS stimulus via NF-κB signal pathway inhibition (12, 13). As IL-6 is an important cytokine related to PTB, gal-1 may be important in the regulation of local inflammation during the course of chorioamnionitis (13). Moreover, gal-3 expression increased in fetal membranes and in the amniotic epithelium in patients with chorioamniotic infection (14), thereby regulating the inflammatory response and/or direct interaction with the pathogens.

In the context of preterm birth, levels of gal-1 and gal-3 in cord blood correlated with gestational age, growth restriction and maternal diabetes (15, 16). Decreased cord blood levels of gal-3 binding protein were noted in association with chorioamnionitis (17) or in infants with later development of chronic lung disease (18). The understanding of the potential immunomodulatory effects of galectins in preterm infants is crucial. The present study characterizes the postnatal dynamics of gal-1, -3, and -9 circulating levels in a well-phenotyped cohort of preterm infants with particular focus on an “inflammatory” environment.

Material and Methods

Study Population

We performed a prospective single-center study in the perinatal unit of the Department of Obstetrics and Gynaecology at the University of Luebeck, Germany. We enrolled a convenience sample of 170 preterm infants with a gestational age below 35 weeks. Infants with lethal abnormalities were excluded. This study was part of our IRoN (Immunoregulation of the Newborn) study project.

Ethical Approval

Ethical approval was given for all study parts by the University of Luebeck Ethical Committee (IRON AZ 15-304). Informed written consent was given by parents (as legal representatives) on behalf of their infants. All blood samples were obtained within a medically required blood withdrawal procedure.

Definitions

Data were collected from clinical records of mother and child. Gestational age was defined as best estimate according to post-menstrual age (obstetrical dating). Amniotic infection (AIS) was diagnosed when more than two of the following clinical signs were noted: maternal fever (temperature > 38.0°C) or fetal tachycardia, maternal elevation of white blood cell count >10/nL or c-reactive protein levels (> 20 mg/L) without other focus of infection, painful uterus, foul-smelling amniotic fluid, preterm labor, preterm rupture of membranes or early-onset sepsis of the newborn infant. Reasonable suspicion for AIS was assumed if only one of the signs was noted. Other reasons for delivery included preeclampsia, pathological vascular Doppler or pathological cardiotocography, placental abruption and others.

Small for gestational age (SGA) was defined as a birth weight less than 10th percentile according to gender-specific standards for birth weight by post menstrual age in Germany (19). Sepsis was diagnosed using the NEO-KISS criteria as clinical sepsis or blood-culture proven sepsis (20, 21). Early-onset sepsis (EOS) was defined as sepsis (clinical or blood culture pos.) occurring within the first 72 h of life. Late-onset sepsis (LOS) was defined as sepsis (clinical or blood culture pos.) occurring after the first 72 h of life but before 25 days of life.

Collection of Blood Samples

Peripheral venous blood samples were collected along with routine laboratory sampling at day 1, 3, 7, and 21 and 28 of life in tubes containing 16 I.E. heparin/ml. Plasma samples were obtained after centrifugation (6 min, 3,000 g) and stored at -20°C until analysis. Maximum storage time before centrifugation was 24 h.

Galectin-1, -3, and -9 ELISA

Gal-1, -3, or -9 concentrations in plasma samples were determined by ELISA as described previously (4, 22). Briefly, Corning® 96-Well High-Binding (Fisher-scientific) were covered with polyclonal anti human gal-1, or gal-3 or gal-9 antibodies (500-P210 Petrotech, AF1154 and AF 2045; R&D Systems, USA respectively) and washed with washing buffer (0.5% Tween-20 in PBS). Plates were blocked with 3% BSA in PBS. Individual wells were incubated with serial dilutions of gal-1, -3, or -9 or plasma samples (diluted 1/4) for 2 h at RT. Wells were washed and incubated with biotinylated polyclonal anti-human gal-1, or gal-3 or gal-9 antibodies (500-P210BT Petrotech, BAF1154, BAF2045 R&D Systems respectively). Plates were washed six times and incubated with horseradish peroxidase (HRP)-conjugated streptavidin (Calbiochem, USA). After eight additional washes, a colorimetric reaction was developed with the 3,3,5,5′-tetramethyl benzidine (TMB) substrate (Pierce Biotechnology, USA). The reaction was stopped by adding one volume of 4 N H2SO4. Absorbance at 450 nm was recorded. Each reported value is the mean of duplicate assays.

Statistical Analysis

Mann-Whitney U-test and Kruskal-Wallis-Test were applied for statistical analysis of differences between two or three non-paired groups, correlations were tested by the Spearman-Rho test. The level of significance was defined as p <0.05 in single comparisons and adjusted with Bonferroni-correction for multivariable testing. For single comparisons, the postnatal age was assessed in groups (based on the five time points of sample collection), for multivariable testing the data was transformed using postnatal age in days as a continuous variable.

We used multivariable linear regression for assessment of the combined influence of gestational age and postnatal age (dependent variable: Galectin level, independent variables: gestational age, birth weight, and postnatal age).

Generalized estimating equation (GEE) with gaussian error and autoregressive [AR(1)] correlation matrix was used to determine the association between the gal levels measured on different days of life and the interaction effects between the timepoint of measurement (day of life) and either gestational age, AIS, or EOS. All variables were time-invariant except for gal levels and day of life. Statistical analysis was performed using SPSS_25.0 statistical software (SPSS Inc., Chicago, USA).

Results

Clinical Characteristics of Infants

Table 1 and Supplementary Table 1 describe the clinical characteristics of the cohort (n = 170) with a mean (± SD) gestational age of 28.7 ± 3.1 weeks (GA) and birth weight of 1121 ± 449 g. The cohort included 62 multiples (36.5%), 93 (54.7%) male, and 38 (22.4%) SGA (small for gestational age) infants. The predominant causes of preterm delivery were suspected (41.8%) or definite (20%) amniotic infection syndrome, pathological vascular Doppler (25.9%) and preeclampsia/HELLP (9.4%). During the neonatal period, 35 infants (20.6%) developed clinical or blood culture positive EOS, whereas 18 infants (10.6%) suffered from clinical LOS and 27 infants (15.8%) from blood-culture proven LOS. Four patients died during the first 72 h of life.

TABLE 1
www.frontiersin.org

Table 1 Clinical characteristics of the included preterm infants.

Circulating Gal-1 and Gal-3 Levels Decline After Birth

We analyzed circulating gal-1, -3, and -9 levels during the period of highest infection vulnerability (between day 1 and 28 of life). As shown in Table 2, gal-1 and gal-3 levels decreased during the first seven days of life to a plateau while gal-9 peripheral levels in preterm infants did not change remarkably (Table 2 and Supplementary Figure 1). The level of gal-1 and 3 was significantly higher at day 1 as compared to any other postnatal day after the first week of life in single comparison. In multivariable testing for the combined influences of gestational age (GA), birth weight and postnatal age, gestational and postnatal age remained significant for gal-1 (GA: B = -6.54, 95% CI: -9.28/-3.79, p < 0.001; postnatal age: B = -2.22, 95%CI: -2.69/-1.74, p < 0.001) and gal-3 (GA: B = -0.66, 95% CI: -1.06/-0.27, p < 0.001; postnatal age: B = -0.17, 95%CI: -0.26/-0.09, p < 0.001). Interestingly, circulating levels of gal-1 were higher than gal-3 and gal-9.

TABLE 2
www.frontiersin.org

Table 2 Postnatal dynamics of gal-1, -3, and -9 levels during the first 28 days of life in preterm infants.

Gal-1 and Gal-3 Levels Inversely Correlate With Gestational Age at Birth

As outlined in Figures 1A, B, concentrations of gal-1 and gal-3 on day 1 and day 3 of life inversely correlate with gestational age (Day 1: gal-1: R2 = -0.34, P < 0.001, n = 97; gal-3: R2 = -0.077, P = 0.006, n = 97; Day 3: gal-1: R2 = -0.33, P = 0.005, n = 22; gal-3: R2 = -0.077, P = 0.006, n = 22). For birth weight, however, the correlation was less pronounced (Day 1: gal-1: R2 = -0.21, P < 0.001, n = 97; gal-3: R2 = -0.053, P = 0.023, n = 97; Day 3: gal-1: not significant; gal-3: R2 = -0.19, P = 0.023, n = 22). A weak correlation was found between levels of gal-1 and gal-3 on day 21 (gestational age: gal-1: R2 = -0.14, P < 0.001, n = 86; gal-3: R2 = -0.22, P < 0.001, n = 86, birth weight: gal-1: R2 = -0.21, P = 0.001, n = 86; gal-3: R2 = -0.08, P = 0.007, n = 86).

FIGURE 1
www.frontiersin.org

Figure 1 Change in serum gal-1 and gal-3 levels in relation to postnatal and gestational age. (A, B) Levels of gal-1 (ng/ml) (A) and gal-3 (ng/ml) (B) at day 1 correlated to gestational age (in weeks, P < 0.05, N = 96) as annalyzed by Mann-Whiteney U-test, respectively.

We found no correlation between gal-9 and gestational age or birth weight. In addition, SGA, gender, and multiple birth had no impact on gal-1, -3, or -9 serum concentration in our cohort.

Early Inflammation Is Associated With Increased Galectin Levels in Preterm Infants

We hypothesized that perinatal inflammation as present in definite or suspected AIS or EOS/LOS may influence systemic gal levels. Using single comparisons, we found higher levels of galectin 1 and 9 in infants born to mothers with severe AIS (n = 23) during the first day of life (Figure 2) compared to infants born to mothers with suspected (n = 37) or without AIS (n = 37). At day 1 of life, for example, gal-1 levels were remarkably increased in infants born to severe AIS (Figure 2A; mean ± SD; severe AIS: 128.5 ng/ml ± 61.5, suspected AIS: 89.5 ng/ml ± 69.3, no AIS: 63.5 ± 34.9; P < 0.001), which was also observed for gal-9 (Figure 2E; severe AIS: 4 ng/ml ± 1.6, suspected AIS: 3 ng/ml ± 1.9, no AIS: 2.8 ± 1.8; P = 0.011). This difference was not evident for gal-3 and on day 3 of life (Tables 2B, D, F).

FIGURE 2
www.frontiersin.org

Figure 2 Peripheral blood gal-1 (A, B), gal-3 (C, D), and gal-9 (E, F) levels in relation to AIS and EOS at day 1 (A, C, E) and 7 (B, D, F) of life AIS was diagnosed clinically: definite signs were noted: maternal fever or fetal tachycardia, maternal increase in white blood cell count >10/ml or c-reactive protein levels (> 20 mg/L) without other focus of infection, painful uterus, foul-smelling amniotic fluid, and either preterm labor or preterm rupture of membrane. Suspicion of AIS was diagnosed with one clinical sign. EOS was diagnosed along the NEO-KISS criteria (clinical sepsis or blood-culture proven sepsis). *P < 0.05 and P < 0.025 as analyzed by Mann-Whitney U-test (EOS) and Kruskal-Wallis (AIS).

We found that infants with clinical or blood-culture proven early-onset sepsis (EOS, n = 24) had higher levels of all galectins at day 1 of life compared to unaffected preterm infants (no EOS, n = 73); (gal-1 (ng/ml) EOS: 112.9 ± 101.7 versus no EOS: 80.9 ± 65.4; P = 0.018, Figure 2A; gal-3 (ng/ml) EOS: 15.2 ± 12.2 versus no EOS: 10.1 ± 7.5, P = 0.036, Figure 2C; gal-9 (ng/ml) EOS: 3.8 ± 2.9 versus no EOS: 2.9 ± 2.5; P = 0.049, Figure 2E). At day 7 of life, we found gal-9 to be increased in preterm infants suffering from early-onset sepsis [gal-9 (ng/ml) EOS: n = 16, 4.3 ± 2.3 versus no EOS: n = 50, 2.9 ± 1.2; P < 0.028].

Galectin levels did not differ remarkably in infants who developed LOS as compared to unaffected infants.

Correlation Between Gestational Age, Postnatal Age, and Inflammation

To test the hypothesis that galectins levels at different postnatal time points are significantly associated with clinical parameters, we applied the GEE statistical model. AIS (B =4.61, p = 0.003) was associated with the dynamics of gal-1 levels. Gestational age (gal-1: B = 0.22, p = 0.015) was not significant associated with the dynamics of any galectin level after adjustment for multiple testing.

Discussion

To our best knowledge, we herein present the first observational data of gal-1, -3, and -9 levels in a cohort of preterm infants. We describe that gal-1 and -9 levels are elevated in infants born in an inflammatory milieu. Increased levels of all galectins are found to be associated with early-onset sepsis. Gal-1 and -3 levels are inversely correlated with gestational age and rapidly decline during the neonatal period.

The role of galectins during amniotic infection is not yet understood. At term, healthy laboring women have diminished decidual gal-1 and gal-3 expression levels as compared with non-laboring women (7). Our data indicate that increased galectin levels in preterm deliveries may be involved in the pathophysiological mechanisms of amniotic infection locally at the fetomaternal interface (13) but also in the systemic immune response of the offspring. We hereby hypothesize that galectins may directly or indirectly interact with pathogens (of early-onset infection) and thereby regulate immune responses.

Noteworthy, we found an inverse correlation between levels of gal-1 and gal-3 in the newborn and gestational age at delivery. This observation is in contrast with our previous studies showing a positive correlation of gal-3 concentrations with gestational age in neonatal whole cord blood (15), which may be related either to a different kinetics of galectin regulation in cord versus peripheral blood or to differences in the experimental design of both studies, as early onset sepsis cases were excluded from our previous analyses. In comparison with the increasing number of studies focusing on the galectin profile in the maternal circulation, information on the systemic variations of galectin levels in the fetus/newborn is very scarce to date. Current evidence indicates that uneventful pregnancy is associated with a steady increase of maternal circulating levels of the three galectins investigated in this study from the first to the third trimester (10, 22, 23), suggesting that the kinetics of galectin secretion may be subject to regulation by different sets of signals operating in the maternal and fetal compartment. Thus, one possibility that requires further investigation is that galectins function to shape innate immunity until the newborn achieves full immune competence and that the very same signals that drive fetal maturation and trigger parturition are also involved in the regulation of the systemic galectin signature as a mechanism to prepare the fetus for the challenges of extrauterine life. In support of this notion is the finding that hormones of the HPA axis involved in the signaling cascade driving parturition [i.e., CRH, urocortins (24), glucocorticoids (2528), DHEA sulfate (29)] have been shown to modulate galectin expression in a variety of pathophysiological settings and cell types including innate imune mediators. On the other hand, since earlier preterm births are more frequently associated with infections and activation of a fetal inflammatory response syndrome (i.e., chorioamnioninitis) (30), it is also possible that elevated galectin levels at earlier gestational ages are due to the described function of galectins as damage associated molecular patterns (DAMPs), acting as ‘alarmin-like’ molecules to signal tissue damage and promote an effector response from immune cells (3133). In this context, an interesting observation is that pregnancies with preterm birth due to infection show significantly higher levels of CRH, urocortin 2, and CRH-R1 in comparison with patients with idiopathic preterm birth or premature rupture of membranes without infection (34), suggesting that placental expression of stress-related pathways is activated in infective processes.

Our study further revealed an association between elevated levels of circulating galectins and AIS/EOS in premature infants, with gal-9 emerging as a possible biomarker for early onset neonatal sepsis. Considering that, in contrast to the late onset form, EOS is exclusively caused by vertical transmission of bacterial infection in utero or intrapartum (35), our results point to a specific role played by galectins in modulating the fetal immune response against intraamniotic infection. Accordingly, we have previously demonstrated that in vitro stimulation with an invasive strain of S. agalactiae (a Group B Streptococcus commonly associated with EOS) induced gal-3 expression in cord blood samples of healthy neonates (15). The role of gal-3 in inflammation and infection has been well established, serving mainly a pro-inflammatory function: gal-3 has been shown to enhance neutrophil adhesion and macrophage migration, promotes their oxidative burst and functions as a chemoattractant for monocytes and macrophages (3639), acting as an important modulator of innate immunity. Being the first line of defense, the innate immune system is of outmost importance for protection against infection in the perinatal period and thus these features of gal-3 make it a paramount mediator driving neonatal immunity in both term and preterm infants. In this regard, it has been shown that circulating levels of gal-3 are higher in neonates than in the adult, and that resting neonatal neutrophils exhibit a phenotype of hyperresponsiveness to gal-3 that is further enhanced in births by vaginal delivery in comparison to C-sections (40). Interestingly, cord blood levels of galectin 3 binding protein (Gal3BP, an immunoregulatory glycoprotein with affinity for gal-1 and gal-3) at birth are increased in preterm neonates and also show an inverse correlation with gestational age, whereas decreased levels of the protein were associated with fetal infections (i.e., choriamnionitis) (17); which led to the assumption that circulating Gal3BP may complement and modify gal-3 activity in the neonate. Further, recent studies have shown that mice deficient for Lgals3BP display enhanced LPS-induced proinflammatory cytokine release and increased sensitivity to LPS-induced endotoxin shock (41). In view of these findings, we speculate that impaired galectin regulation may contribute to the increased susceptibility of preterm infants to infection as opposed to term neonates or adults. However, the differences in the galectin levels may also be a result of infection instead of its cause. Approaches aimed at promoting gal-3 expression in neonates might, in future, contribute to novel therapeutic protocols for management of perinatal infection. Further studies should be encouraged to elucidate the functional relevance of our findings and to address whether galectins mediate inflammation-induced preterm birth and their potential application as a target for clinical trials.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by University of Lübeck Ethical Committee (IRON AZ 15-304). Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author Contributions

SMB and CH designed the study and secured grant funding. KF, CH, NF, GB, and SMB performed the experiments and/or analyzed the data. KF, CH, and SMB wrote the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the German Ministry of Research and Education (BMBF; Clinical Leave stipend of the German Centre for Infection Research to KF), grants from the Deutsche Forschungsgemeinschaft (German Research Foundation) to CH (HA6409/5-1) and to SMB (BL1115/2-1, BL1115/4-1 and Heisenberg program BL1115/7-1).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to express our gratitude to Gudrun Koch for the excellent technical work and Tanja K. Rausch for statistical assistance.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2020.599104/full#supplementary-material

Supplementary Figure 1 | Levels of gal-9 (ng/ml) at day 1 correlated to gestational age (in weeks, P < 0.05, N = 96).

References

1. Humberg A, Fortmann I, Siller B, Kopp MV, Herting E, Göpel W, et al. Preterm birth and sustained inflammation: consequences for the neonate. Semin Immunopathol (2020) 24(4):451–68. doi: 10.1007/s00281-020-00803-2

CrossRef Full Text | Google Scholar

2. Blois SM, Verlohren S, Wu G, Clark G, Dell A, Haslam SM, et al. Role of galectin-glycan circuits in reproduction: from healthy pregnancy to preterm birth (PTB). Semin Immunopathol (2020) 24(4):469–86. doi: 10.1007/s00281-020-00801-4

CrossRef Full Text | Google Scholar

3. Hirabayashi J, Kasai K. The family of metazoan metal-independent beta-galactoside-binding lectins: structure, function and molecular evolution. Glycobiology (1993) 3:297–304. doi: 10.1093/glycob/3.4.297

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Tirado-Gonzalez I, Freitag N, Barrientos G, Shaikly V, Nagaeva O, Strand M, et al. Galectin-1 influences trophoblast immune evasion and emerges as a predictive factor for the outcome of pregnancy. Mol Hum Reprod (2013) 19:43–53. doi: 10.1093/molehr/gas043

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Blois SM, Ilarregui JM, Tometten M, Garcia M, Orsal AS, Cordo-Russo R, et al. A pivotal role for galectin-1 in fetomaternal tolerance. Nat Med (2007) 13:1450–7. doi: 10.1038/nm1680

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Freitag N, Tirado-Gonzalez I, Barrientos G, Herse F, Thijssen VL, Weedon-Fekjaer SM, et al. Interfering with Gal-1-mediated angiogenesis contributes to the pathogenesis of preeclampsia. Proc Natl Acad Sci United States America (2013) 110:11451–6. doi: 10.1073/pnas.1303707110

CrossRef Full Text | Google Scholar

7. El-Azzamy H, Balogh A, Romero R, Xu Y, LaJeunesse C, Plazyo O, et al. Characteristic Changes in Decidual Gene Expression Signature in Spontaneous Term Parturition. J Pathol Trans Med (2017) 51:264–83. doi: 10.4132/jptm.2016.12.20

CrossRef Full Text | Google Scholar

8. Enninga EAL, Harrington SM, Creedon DJ, Ruano R, Markovic SN, Dong H, et al. Immune checkpoint molecules soluble program death ligand 1 and galectin-9 are increased in pregnancy. Am J Reprod Immunol (2018) 79(2):e12795. doi: 10.1111/aji.12795

CrossRef Full Text | Google Scholar

9. Phillips B, Knisley K, Weitlauf KD, Dorsett J, Lee V, Weitlauf H. Differential expression of two beta-galactoside-binding lectins in the reproductive tracts of pregnant mice. Biol Reprod (1996a) 55:548–58. doi: 10.1095/biolreprod55.3.548

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Freitag N, Tirado-Gonzalez I, Barrientos G, Powell KL, Boehm-Sturm P, Koch SP, et al. Galectin-3 deficiency in pregnancy increases the risk of fetal growth restriction (FGR) via placental insufficiency. Cell Death Dis (2020) 11:560. doi: 10.1038/s41419-020-02791-5

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Shankar R, Johnson MP, Williamson NA, Cullinane F, Purcell AW, Moses EK, et al. Molecular markers of preterm labor in the choriodecidua. Reprod Sci (Thousand Oaks Calif) (2010) 17:297–310. doi: 10.1177/1933719109353454

CrossRef Full Text | Google Scholar

12. Fichorova RN, Yamamoto HS, Fashemi T, Foley E, Ryan S, Beatty N, et al. Trichomonas vaginalis Lipophosphoglycan Exploits Binding to Galectin-1 and -3 to Modulate Epithelial Immunity. J Biol Chem (2016) 291:998–1013. doi: 10.1074/jbc.M115.651497

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Gomez-Chavez F, Castro-Leyva V, Espejel-Nunez A, Zamora-Mendoza RG, Rosas-Vargas H, Cancino-Diaz JC, et al. Galectin-1 reduced the effect of LPS on the IL-6 production in decidual cells by inhibiting LPS on the stimulation of IkappaBzeta. J Reprod Immunol (2015) 112:46–52. doi: 10.1016/j.jri.2015.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Stefanoska I, Tadic J, Vilotic A, Jovanovic Krivokuca M, Abu Rabi T, Vicovac L. Histological chorioamnionitis in preterm prelabor rupture of the membranes is associated with increased expression of galectin-3 by amniotic epithelium. J Maternal-fetal Neonatal Med Off J Eur Assoc Perinatal Med Fed Asia Oceania Perinatal Soc Int Soc Perinatal Obstet (2017) 30:2232–6. doi: 10.1080/14767058.2016.1243100

CrossRef Full Text | Google Scholar

15. Demmert M, Faust K, Bohlmann MK, Tröger B, Göpel W, Herting E, et al. Galectin-3 in cord blood of term and preterm infants. Clin Exp Immunol (2012) 167:246–51. doi: 10.1111/j.1365-2249.2011.04509.x

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Boutsikou T, Giotaki M, Boutsikou M, Briana DD, Baka S, Piatopoulou D, et al. Cord blood galectin-1 and -3 concentrations in term pregnancies with normal restricted and increased fetal growth. J Perinatal Med (2015) 43:305–9. doi: 10.1515/jpm-2013-0220

CrossRef Full Text | Google Scholar

17. Chan C, Bode L, Kim J. Galectin-3 binding protein in human preterm infant umbilical cord plasma. J Neonatal Perinatal Med (2015) 8:99–104. doi: 10.3233/NPM-15814055

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Zasada M, Suski M, Bokiniec R, Szwarc-Duma M, Borszewska-Kornacka MK, Madej J, et al. Comparative two time-point proteome analysis of the plasma from preterm infants with and without bronchopulmonary dysplasia. Ital J Pediatr (2019) 45:112. doi: 10.1186/s13052-019-0676-0

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Voigt M, Schneider KT, Jährig K. Analysis of a 1992 birth sample in Germany. 1: New percentile values of the body weight of newborn infants]. Geburtshilfe Und Frauenheilkunde (1996) 56:550–8. doi: 10.1055/s-2007-1023283

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Schwab F, Geffers C, Bärwolff S, Rüden H, Gastmeier P. Reducing neonatal nosocomial bloodstream infections through participation in a national surveillance system. J Hosp Infect (2007) 65:319–25. doi: 10.1016/j.jhin.2006.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Geffers C, Baerwolff S, Schwab F, Gastmeier P. Incidence of healthcare-associated infections in high-risk neonates: results from the German surveillance system for very-low-birthweight infants. J Hosp Infect (2008) 68:214–21. doi: 10.1016/j.jhin.2008.01.016

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Freitag N, Tirado-González I, Barrientos G, Cohen M, Daher S, Goldman-Wohl D, et al. The chimera-type galectin-3 is a positive modulator of trophoblast functions with dysregulated expression in gestational diabetes mellitus. Am J Reprod Immunol (2020) e13311. doi: 10.1111/aji.13311

CrossRef Full Text | Google Scholar

23. Meggyes M, Miko E, Polgar B, Bogar B, Farkas B, Illes Z, et al. Peripheral blood TIM-3 positive NK and CD8+ T cells throughout pregnancy: TIM-3/galectin-9 interaction and its possible role during pregnancy. PloS One (2014) 9:e92371. doi: 10.1371/journal.pone.0092371

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Vergetaki A, Jeschke U, Vrekoussis T, Taliouri E, Sabatini L, Papakonstanti EA, et al. Galectin-1 overexpression in endometriosis and its regulation by neuropeptides (CRH, UCN) indicating its important role in reproduction and inflammation. PloS One (2014) 9:e114229. doi: 10.1371/journal.pone.0114229

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Aubin JE, Gupta AK, Bhargava U, Turksen K. Expression and regulation of galectin 3 in rat osteoblastic cells. J Cell Physiol (1996) 169:468–80. doi: 10.1002/(SICI)1097-4652(199612)169:3<468::AID-JCP7>3.0.CO;2-M

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Dabelic S, Supraha S, Dumic J. Galectin-3 in macrophage-like cells exposed to immunomodulatory drugs. Biochim Biophys Acta (2006) 1760:701–9. doi: 10.1016/j.bbagen.2005.11.020

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Maldonado CA, Sundblad V, Salatino M, Elia J, Garcia LN, Leimgruber C, et al. Cell-type specific regulation of galectin-3 expression by glucocorticoids in lung Clara cells and macrophages. Histol Histopathol (2011) 26:747–59.

PubMed Abstract | Google Scholar

28. Mengwasser J, Liu FT, Sleeman JP. Galectin-3 is strongly up-regulated in nonapoptosing mammary epithelial cells during rat mammary gland involution. Glycobiology (2002) 12:129–34. doi: 10.1093/glycob/12.2.129

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Yilmaz H, Celik HT, Ozdemir O, Kalkan D, Namuslu M, Abusoglu S, et al. Serum galectin-3 levels in women with PCOS. J Endocrinol Invest (2014) 37:181–7. doi: 10.1007/s40618-013-0032-y

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Newton ER. Preterm labor, preterm premature rupture of membranes, and chorioamnionitis. Clin Perinatol (2005) 32:571–600. doi: 10.1016/j.clp.2005.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Balogh A, Pozsgay J, Matko J, Dong Z, Kim CJ, Varkonyi T, et al. Placental protein 13 (PP13/galectin-13) undergoes lipid raft-associated subcellular redistribution in the syncytiotrophoblast in preterm preeclampsia and HELLP syndrome. Am J Obstetr Gynecol (2011) 205:156.e1–14. doi: 10.1016/j.ajog.2011.03.023

CrossRef Full Text | Google Scholar

32. Steichen AL, Simonson TJ, Salmon SL, Metzger DW, Mishra BB, Sharma J. Alarmin function of galectin-9 in murine respiratory tularemia. PloS One (2015) 10:e0123573. doi: 10.1371/journal.pone.0123573

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Yip PK, Carrillo-Jimenez A, King P, Vilalta A, Nomura K, Chau CC, et al. Galectin-3 released in response to traumatic brain injury acts as an alarmin orchestrating brain immune response and promoting neurodegeneration. Sci Rep (2017) 7:41689. doi: 10.1038/srep41689

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Torricelli M, Novembri R, Bloise E, De Bonis M, Challis JR, Petraglia F. Changes in placental CRH, urocortins, and CRH-receptor mRNA expression associated with preterm delivery and chorioamnionitis. J Clin Endocrinol Metab (2011) 96:534–40. doi: 10.1210/jc.2010-1740

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Hornik CP, Fort P, Clark RH, Watt K, Benjamin DK Jr., Smith PB, et al. Early and late onset sepsis in very-low-birth-weight infants from a large group of neonatal intensive care units. Early Hum Dev (2012) 88 Suppl 2:S69–74. doi: 10.1016/S0378-3782(12)70019-1

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Colnot C, Ripoche MA, Milon G, Montagutelli X, Crocker PR, Poirier F. Maintenance of granulocyte numbers during acute peritonitis is defective in galectin-3-null mutant mice. Immunology (1998) 94:290–6. doi: 10.1046/j.1365-2567.1998.00517.x

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Kuwabara I, Liu FT. Galectin-3 promotes adhesion of human neutrophils to laminin. J Immunol (1996) 156:3939–44.

PubMed Abstract | Google Scholar

38. Sano H, Hsu DK, Yu L, Apgar JR, Kuwabara I, Yamanaka T, et al. Human galectin-3 is a novel chemoattractant for monocytes and macrophages. J Immunol (2000) 165:2156–64. doi: 10.4049/jimmunol.165.4.2156

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Hsu DK, Yang RY, Pan Z, Yu L, Salomon DR, Fung-Leung WP, et al. Targeted disruption of the galectin-3 gene results in attenuated peritoneal inflammatory responses. Am J Pathol (2000) 156:1073–83. doi: 10.1016/S0002-9440(10)64975-9

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Sundqvist M, Osla V, Jacobsson B, Rudin A, Savman K, Karlsson A. Cord blood neutrophils display a galectin-3 responsive phenotype accentuated by vaginal delivery. BMC Pediatr (2013) 13:128. doi: 10.1186/1471-2431-13-128

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Hong CS, Park MR, Sun EG, Choi W, Hwang JE, Bae WK, et al. Gal-3BP Negatively Regulates NF-kappaB Signaling by Inhibiting the Activation of TAK1. Front Immunol (2019) 10:1760. doi: 10.3389/fimmu.2019.01760

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: galectin-1, galectin-3, galectin-9, preterm infants, amniotic infection

Citation: Faust K, Freitag N, Barrientos G, Hartel C and Blois SM (2021) Galectin-Levels Are Elevated in Infants Born Preterm Due to Amniotic Infection and Rapidly Decline in the Neonatal Period. Front. Immunol. 11:599104. doi: 10.3389/fimmu.2020.599104

Received: 27 August 2020; Accepted: 23 December 2020;
Published: 25 February 2021.

Edited by:

Caroline Elizabeth Childs, University of Southampton, United Kingdom

Reviewed by:

Maria José Rodríguez Lagunas, University of Barcelona, Spain
Shima Shahjouei, Geisinger Health System, United States

Copyright © 2021 Faust, Freitag, Barrientos, Hartel and Blois. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sandra M. Blois, s.blois@uke.de; Christoph Hartel, haertel_c1@ukw.de

Disclaimer: 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.