Tatjana Radaelli

Dr. Tatjana Radaelli

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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OROrnella Rondinone
Ornella Rondinone
AMAlessio Murgia
Alessio Murgia
JCJole Costanza
Jole Costanza
STSilvia Maria Tabano
Silvia Maria Tabano
MCMargherita Camanni
Margherita Camanni
MMMonica Miozzo
Monica Miozzo
The placental methylation pattern is crucial for the regulation of genes involved in trophoblast invasion and placental development, both key events for fetal growth. We investigated LINE-1 methylation and methylome profiling using a methylation EPIC array and the targeted methylation sequencing of 154 normal, full-term pregnancies, stratified by birth weight percentiles. LINE-1 methylation showed evidence of a more pronounced hypomethylation in small neonates compared with normal and large for gestational age. Genome-wide methylation, performed in two subsets of pregnancies, showed very similar methylation profiles among cord blood samples while placentae from different pregnancies appeared very variable. A unique methylation profile emerged in each placenta, which could represent the sum of adjustments that the placenta made during the pregnancy to preserve the epigenetic homeostasis of the fetus. Investigations into the 1000 most variable sites between cord blood and the placenta showed that promoters and gene bodies that are hypermethylated in the placenta are associated with blood-specific functions, whereas those that are hypomethylated belong mainly to pathways involved in cancer. These features support the functional analogies between a placenta and cancer. Our results, which provide a comprehensive analysis of DNA methylation profiling in the human placenta, suggest that its peculiar dynamicity can be relevant for understanding placental plasticity in response to the environment.

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DMDenise Morotti
Denise Morotti
STSilvia Tabano
Silvia Tabano
GGGabriella Gaudioso
Gabriella Gaudioso
TRTatjana Radaelli
Tatjana Radaelli
GCGiorgio Alberto Croci
Giorgio Alberto Croci
Fabio GrizziFabio Grizzi
Fabio Grizzi
It has been shown that vertical transmission of the SARS-CoV-2 strain is relatively rare, and there is still limited information on the specific impact of maternal SARS-CoV-2 infection on vertical transmission. The current study focuses on a transcriptomics analysis aimed at examining differences in gene expression between placentas from mother–newborn pairs affected by COVID-19 and those from unaffected controls. Additionally, it investigates the in situ expression of molecules involved in placental inflammation. The Papa Giovanni XXIII Hospital in Bergamo, Italy, has recorded three instances of intrauterine transmission of SARS-CoV-2. The first two cases occurred early in the pandemic and involved pregnant women in their third trimester who were diagnosed with SARS-CoV-2. The third case involved an asymptomatic woman in her second trimester with a twin pregnancy, who unfortunately delivered two stillborn fetuses due to the premature rupture of membranes. Transcriptomic analysis revealed significant differences in gene expression between the placentae of COVID-19-affected mother/newborn pairs and two matched controls. The infected and control placentae were matched for gestational age. According to the Benjamani–Hochberg method, 305 genes met the criterion of an adjusted p-value of less than 0.05, and 219 genes met the criterion of less than 0.01. Up-regulated genes involved in cell signaling (e.g., CCL20, C3, MARCO) and immune response (e.g., LILRA3, CXCL10, CD48, CD86, IL1RN, IL-18R1) suggest their potential role in the inflammatory response to SARS-CoV-2. RNAscope® technology, coupled with image analysis, was utilized to quantify the surface area covered by SARS-CoV-2, ACE2, IL-1β, IL-6, IL-8, IL-10, and TNF-α on both the maternal and fetal sides of the placenta. A non-statistically significant gradient for SARS-CoV-2 was observed, with a higher surface coverage on the fetal side (2.42 ± 3.71%) compared to the maternal side (0.74 ± 1.19%) of the placenta. Although not statistically significant, the surface area covered by ACE2 mRNA was higher on the maternal side (0.02 ± 0.04%) compared to the fetal side (0.01 ± 0.01%) of the placenta. IL-6 and IL-8 were more prevalent on the fetal side (0.03 ± 0.04% and 0.06 ± 0.08%, respectively) compared to the maternal side (0.02 ± 0.01% and 0.02 ± 0.02%, respectively). The mean surface areas of IL-1β and IL-10 were found to be equal on both the fetal (0.04 ± 0.04% and 0.01 ± 0.01%, respectively) and maternal sides of the placenta (0.04 ± 0.05% and 0.01 ± 0.01%, respectively). The mean surface area of TNF-α was found to be equal on both the fetal and maternal sides of the placenta (0.02 ± 0.02% and 0.02 ± 0.02%, respectively). On the maternal side, ACE-2 and all examined interleukins, but not TNF-α, exhibited an inverse mRNA amount compared to SARS-CoV-2. On the fetal side, ACE-2, IL-6 and IL-8 were inversely correlated with SARS-CoV-2 (r = −0.3, r = −0.1 and r = −0.4, respectively), while IL-1β and IL-10 showed positive correlations (r = 0.9, p = 0.005 and r = 0.5, respectively). TNF-α exhibited a positive correlation with SARS-CoV-2 on both maternal (r = 0.4) and fetal sides (r = 0.9) of the placenta. Further research is needed to evaluate the correlation between cell signaling and immune response genes in the placenta and the vertical transmission of SARS-CoV-2. Nonetheless, the current study extends our comprehension of the molecular and immunological factors involved in SARS-CoV-2 placental infection underlying maternal–fetal transmission.


12 October 2026 in Nutrients
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DMDaniela Denis Di Martino
Daniela Denis Di Martino
ESElisa Sabattini
Elisa Sabattini
LVLucrezia Viscioni
Lucrezia Viscioni
SCSerena Cerri
Serena Cerri
TRTatjana Radaelli
Tatjana Radaelli
3C3P Study Group Collaborators
3P Study Group Collaborators
Background/Objectives: Clinical risk measures such as pre-pregnancy body mass index (BMI) and gestational weight gain do not distinguish the expansion of fluid, lean, and adipose compartments. Standardized obstetric reference curves for bioelectrical impedance analysis (BIA) are lacking. This study aimed to establish longitudinal, trimester-specific BIA reference curves in uncomplicated pregnancies. Methods: This multicenter, prospective, longitudinal cohort study was conducted at three Italian tertiary research hospitals from September 2020 to September 2025. BIA assessments (InBody 270®) were performed at 10–15, 23–25, and 34–37 gestational weeks. Generalized additive models for location, scale, and shape were used to derive reference centiles and BMI-conditioned contour plots for total body water, lean mass, fat mass, and visceral fat level. Pregnancies with complications or incomplete longitudinal data were excluded from the primary reference cohort. Results: Among 442 healthy pregnant women, all parameters increased progressively across gestation. Each 1-unit increase in pre-pregnancy BMI was associated with a larger shift in fat mass (1.88 kg; 95% CI, 1.77–1.99) than in total body water (0.47 L; 95% CI, 0.38–0.57). Conclusions: These multicenter, BMI-conditioned, trimester-specific BIA reference curves provide normative benchmarks for maternal hydration and body composition and may support the identification of early deviations from physiological gestational trajectories.