Wyva
Senior Member (Voting Rights)
ABSTRACT
Background
We followed college students before, during, and after infectious mononucleosis (IM) for the development of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).
Aim
We used network analysis to study relationships between pre-illness cytokine data amongst three groups of participants: those 30 who went on to develop ME/CFS following IM (and met one case definition), those 18 who went on to develop severe ME/CFS (S-ME-CFS) following IM (and met greater than one case definition), and those 58 who recovered following IM (controls).
Methods
We recruited 4501 college students; approximately 5% developed IM during their enrollment at university. Those who developed IM were evaluated at a 6-month follow-up to determine whether they recovered or met criteria for ME/CFS; those who met >1 set of criteria for ME/CFS were termed S-ME/CFS. Patterns of pre-illness cytokine networks were then classified according to the following characteristics: membership, modularity, Eigen centrality, Total centrality, and mean degree. Network statistics were compared across groups using a one-way analysis of variance (ANOVA).
Results
Those with S-ME/CFS had a more interconnected network of cytokines, whereas recovered controls had more differentiated networks and more subgroupings of cytokine connections. Those with ME/CFS had a network that was denser than the controls, but less dense than those with severe ME/CFS.
Conclusions
The distinct network differences between these three groups implies that there may be biological differences between our three groups of study participants at baseline.
Paywall: https://www.tandfonline.com/doi/abs/10.1080/21641846.2021.1915131
Background
We followed college students before, during, and after infectious mononucleosis (IM) for the development of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).
Aim
We used network analysis to study relationships between pre-illness cytokine data amongst three groups of participants: those 30 who went on to develop ME/CFS following IM (and met one case definition), those 18 who went on to develop severe ME/CFS (S-ME-CFS) following IM (and met greater than one case definition), and those 58 who recovered following IM (controls).
Methods
We recruited 4501 college students; approximately 5% developed IM during their enrollment at university. Those who developed IM were evaluated at a 6-month follow-up to determine whether they recovered or met criteria for ME/CFS; those who met >1 set of criteria for ME/CFS were termed S-ME/CFS. Patterns of pre-illness cytokine networks were then classified according to the following characteristics: membership, modularity, Eigen centrality, Total centrality, and mean degree. Network statistics were compared across groups using a one-way analysis of variance (ANOVA).
Results
Those with S-ME/CFS had a more interconnected network of cytokines, whereas recovered controls had more differentiated networks and more subgroupings of cytokine connections. Those with ME/CFS had a network that was denser than the controls, but less dense than those with severe ME/CFS.
Conclusions
The distinct network differences between these three groups implies that there may be biological differences between our three groups of study participants at baseline.
Paywall: https://www.tandfonline.com/doi/abs/10.1080/21641846.2021.1915131
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