Fig. 5: Potential for prediction of gestational age by meconium proteomic analysis. | Nature Communications

Fig. 5: Potential for prediction of gestational age by meconium proteomic analysis.

From: Host-derived protein profiles of human neonatal meconium across gestational ages

Fig. 5

a Gestational age (GA) prediction in the training cohort (excluding specific diseases, 149 samples). RMSE root-mean-square error. Shaded areas around regression lines represent the 95% confidence interval. b GA prediction in the validation cohort (excluding specific diseases, 55 samples). RMSE root-mean-square error. Shaded areas around regression lines represent the 95% confidence interval. c GA prediction in the validation cohort (specific diseases, 55 samples). The blue and red dots represent males and females, respectively. Pearson correlation coefficients and two-sided P-values between the actual GA and predicted GA are shown. RMSE: root-mean-square error. Shaded areas around regression lines represent the 95% confidence interval. d Comparison of the difference between the actual GA and predicted GA among the cohorts: Training Non-disease (149 samples) vs. Validation Non-disease (55 samples) vs. Specific diseases (GID: 11 samples, CHD: 42 samples, CA: 10 samples, CI: 4 samples). GID gastrointestinal disease, CHD congenital heart disease, CA chromosomal abnormality, CID congenital infection disease. Statistical analyses compared with the Validation Non-disease cohort were performed using the Wilcoxon rank-sum test; **P = 0.002, ***P = 0.0002. Centrelines within box plots represent medians. Box limits indicate 25th and 75th percentiles, and the whiskers extend to 1.5 times IQR of 25th and 75th percentiles.

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