Gene-environment interactions in the pathogenesis of common craniofacial anomalies

Predisposing risk factors for cleft lip and palate in an Amazonian population by focusing on nutritional factors: A case-control study

BACKGROUND

Orofacial clefts (OFC) are the most common congenital malformation of the craniofacial skeleton. Attempts have been made to correlate the components of maternal diet as triggers for the development or prevention of OFC.

OBJECTIVE

To analyze nutritional status as a predictive factor for the development of cleft lip and palate in an Amazonian population.

METHODS

A total of 152 mothers within 3 months of delivery were interviewed for comparison: 51 mothers of children with nonsyndromic cleft lip and palate (CLP) (study group) and 101 mothers of children without OFC (control group). A food frequency questionnaire was used to assess maternal nutrition and to analyze the influence of macro- and micronutrients on the possible predisposition or protection for CLP.

RESULTS

The study group showed higher percentage of lipid intake than did the control group (p = 0.01). Among the participants with no family history of OFC, the study group had a higher percentage of lipid intake (p = 0.002) and lower vegetable intake (p = 0.037). Maternal micronutrient intake among the participants with a positive family history was lower in the study group for vitamins B2 (p = 0.03), B5 (p = 0.036), E (p = 0.03), and folate (p = 0.022).

CONCLUSIONS

Nutritional analysis indicated that higher maternal lipid intake increased the likelihood of having offsprings with nonsyndromic CLP. Moreover, families with a history of OFC and low maternal folate intake showed heightened risk of nonsyndromic CLP in their offsprings.

Identification of Neural Crest and Neural Crest-Derived Cancer Cell Invasion and Migration Genes Using High-throughput Screening and Deep Attention Networks

Background

Cell migration and invasion are well-coordinated processes in development and disease but remain poorly understood. We previously showed that highly migratory neural crest (NC) cells share a 45-gene panel with other cell invasion phenomena, including cancer. To identify critical genes of the 45-gene panel, we performed a high-throughput siRNA screen and used statistical and deep learning methods to compare NC- versus non-NC-derived human cell lines.

Results

We find 14 out of 45 genes significantly reduces c8161 melanoma cell migration; only 4 are shared with HT1080 fibrosarcoma cells (BMP4, ITGB1, KCNE3, RASGRP1). Deep learning attention network analysis identified distinct cell-cell interaction patterns and significant alterations after BMP4 or RASGRP1 knockdown in c8161 cells. Addition of recombinant proteins to the culture media identified 5 out of the 10 known secreted molecules stimulate c8161 cell migration, including BMP4. BMP4 siRNA knockdown inhibited c8161 cell invasion in vivo and in vitro ; however, its addition to the culture media rescued c8161 cell invasion.

Conclusion

A high-throughput screen and deep learning rapidly distilled a 45-gene panel to a small subset of genes that appear critical to melanoma cell invasion and warrant deeper in vivo functional analysis for their role in driving the neural crest.