Anti-RhD antibody therapy modulates human natural killer cell function

Does high body mass index (>25 kg/m2) or weight (>80 kg) reduce the effectiveness of anti-D prophylaxis in Rh(D)-negative pregnant women? A systematic review and meta-analysis

BACKGROUND AND OBJECTIVES

Haemolytic disease of the foetus and newborn (HDFN) occurs when maternal antibodies, often triggered by foetal antigens, destroy foetal and neonatal red blood cells. Factors like antibody strength, quantity and gestational age influence HDFN severity. Routine antenatal anti-D prophylaxis (RAADP) has significantly reduced HDFN cases. However, the effect of overweight/obesity (body mass index [BMI] > 25/30 kg/m2) on anti-D prophylaxis efficacy remains unclear. This systematic review will examine the impact of BMI on anti D prophylaxis effectiveness in Rh(D) negative pregnant women.

MATERIALS AND METHODS

We conducted a systematic review and meta-analysis following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocols. We searched databases from 1996 to 2023, focusing on studies exploring the link between high BMI/weight and anti-D serum levels in Rh(D)-negative pregnant women with Rh(D)-positive foetuses. Ten eligible studies were included, three suitable for meta-analysis. Study quality was assessed using the Strengthening the Reporting Observation Studies in Epidemiology (STROBE) checklist. Statistical analyses included Pearson correlation coefficients and risk differences.

RESULTS

Our meta-analysis revealed a significant negative correlation (r = -0.59, 95% confidence interval [CI]: -0.83 to -0.35, p = 0.007) between high BMI/weight and serial anti-D levels in in Rh(D)-negative pregnant women with Rh(D)-positive foetuses. High BMI/weight had lower odds of serial anti-D level exceeding 30 ng/mL (arcsine risk difference [ARD] = 0.376, 95% CI: 0.143-0.610, p = 0.002). Heterogeneity among studies was low (I2 = 0).

CONCLUSION

While our analysis suggests a potential linkage between high BMI/weight and reduced efficacy of anti-D prophylaxis, caution is warranted due to study limitations. Variability in study design and confounding factors necessitate careful interpretation. Further research is needed to confirm these findings and refine clinical recommendations.

Immunomodulation of Antibody Glycosylation through the Placental Transfer

Establishing an immune balance between the mother and fetus during gestation is crucial, with the placenta acting as the epicenter of immune tolerance. The placental transfer of antibodies, mainly immunoglobulin G (IgG), is critical in protecting the developing fetus from infections. This review looks at how immunomodulation of antibody glycosylation occurs during placental transfer and how it affects fetal health. The passage of maternal IgG antibodies through the placental layers, including the syncytiotrophoblast, stroma, and fetal endothelium, is discussed. The effect of IgG subclass, glycosylation, concentration, maternal infections, and antigen specificity on antibody transfer efficiency is investigated. FcRn-mediated IgG transport, influenced by pH-dependent binding, is essential for placental transfer. Additionally, this review delves into the impact of glycosylation patterns on antibody functionality, considering both protective and pathological effects. Factors affecting the transfer of protective antibodies, such as maternal vaccination, are discussed along with reducing harmful antibodies. This in-depth examination of placental antibody transfer and glycosylation provides insights into improving neonatal immunity and mitigating the effects of maternal autoimmune and alloimmune conditions.

N-glycan profiling alterations of serum and immunoglobulin G in immune thrombocytopenia

Background

The glycosylation alterations of serum and IgG are involved in a variety of autoimmune and inflammatory diseases and have shown great potential in biomarker field. The diagnosis of immune thrombocytopenia (ITP) is exclusive. Our study aimed to discover the potential glyco‐biomarkers for auxiliary diagnosis of ITP.

Methods

The serum samples were obtained from 61 ITP patients and 35 healthy controls, and IgG samples were purified from 34 out of 61 ITP patients and 35 healthy controls. DNA sequencer‐assisted fluorophore‐assisted carbohydrate electrophoresis (DSA‐FACE) was used to analyze serum and IgG N‐glycan profiling.

Results

6 of 12 serum N‐glycan peaks, 6 of 7 IgG N‐glycan peaks, serum fucosylation, and IgG galactosylation were significantly different between ITP patients and healthy controls (p < 0.05). IgG peak 7 showed good diagnostic efficacy for discriminating ITP patients from healthy individuals (AUC 0.967). ITP patients with severe thrombocytopenia had a significantly lower serum fucosylation than ITP patients with mild and moderate thrombocytopenia (p < 0.05). Serum fucosylation and serum peak 5 were correlated with platelet counts in ITP patients with severe thrombocytopenia, and the absolute values of correlation coefficient were both over 0.5.

Conclusions

The specific N‐glycan patterns of serum and IgG were observed in ITP patients. IgG peak 7 was a potential biomarker for auxiliary diagnosis of ITP.

Antibody glycosylation in autoimmune diseases

The glycosylation of the fragment crystallizable (Fc) region of immunoglobulins (Ig) is critical for the modulation of antibody effects on inflammation. Moreover, antibody glycosylation may induce pathologic modifications and ultimately contribute to the development of autoimmune diseases. Thanks to progress in the analysis of glycosylation, more data are available on IgG and its subclass structures in the context of autoimmune diseases. In this review, we focused on the impact of Ig glycosylation in autoimmunity, describing how it modulates the immune response and how glycome profiles can be used as biomarkers of disease activity. The analysis of antibody glycosylation demonstrated specific features in human autoimmune and chronic inflammatory conditions, including rheumatoid arthritis, systemic lupus erythematosus, inflammatory bowel disease and autoimmune liver diseases, among others. Within the same disease, different patterns are associated with disease severity and treatment options. Future research may increase the information available on the distinct glycome profiles and expand their potential role as biomarkers and as targets for treatment, ultimately favoring an individualized approach.