Fig 1.
A) Data collection flow diagram.
Datatypes were collected at different time points, circle stacks on each time point indicate which datatypes were collected at that moment in time (n). B) Gender and age distribution of the cohort. Cohort consisted of 30 participants (n = 30).
Fig 2.
Candidate selection process.
Table 1.
Visual of the data collection for I AM Frontier Cohort. A parameter specific overview of the measured variables for metabolomics, proteomics and clinical parameters can be found in supplementary tables.
Fig 3.
Physical symptoms throughout the study period (timepoints 0 to 12) were obtained via questionnaires and grouped according to the findings of Allen et. al [22]. The color intensity indicates the severity of the complaint on a scale from zero to four. Month zero is March 2019, and month 12 is March 2020. All time points are shown for the male participants. All time points of the female participants can be seen in S2 Fig.
Table 2.
Baseline characteristics at the time of recruitment of IAM Frontier by gender.
The Student’s t-test was performed to determine if the means of each characteristic significantly differ between men and women.
Fig 4.
Longitudinal heatmap representing which clinical parameters (right), grouped in clinical health clusters (left), are out of normal range bounds, i.e., population reference intervals (PRI), for male participants.
The heatmap with female participants can be found in S3 Fig.
Fig 5.
PCA plots of the various longitudinal omics datatypes.
The three principal components (PC) that capture most of the variance in each data type are plotted, resulting in three possible combinations to plot these PC’s on a one-to-one basis. A) clinome data, B) proteomics, C) metabolomics, annotated with gender (M = Male, F = Female) and BMI information. Each point in the plot represents an individual at one specific time point, different measurements from a same individual are represented in one colour. The longitudinal character of the I AM Frontier data reveals that clinical parameters behave more stable over time and produce more dense inter-personal clusters compared to proteomics and metabolomics data. All 30 individuals are rep-resented by a distinct colour. O = BMI < 25, △ = 25 > BMI < 30, 2 = BMI > 30.