Induced pluripotent stem cells as suitable sensors for fibromyalgia and myalgic encephalomyelitis/chronic fatigue syndrome, by Maria B Monzon-Nomdedeu, Karl J Morten, Elisa Oltra in World Journal of Stem Cells Vol 13, #8, pp 1134-1150 [DOI:10.4252/wjsc.v13.i8.1134] August 26, 2021
Core Tip:
Because of the special ability to sense environmental cues we propose that induced pluripotent stem cells (iPSCs) are suitable for use as a sensor system for metabolic disease. As fibromyalgia and myalgic encephalomyelitis/chronic fatigue syndrome body-fluids have unique metabolic profiles, the applicability of iPSC-based bioassays for those conditions are worth investigating.
We envisage the development of iPSC platforms that allow differential diagnosis and disease-specific high-throughput drug-screening platforms. Using healthy iPSCs and patient body fluids has significant advantages over using cell lines, primary culture of patient cells or iPSCs derived from patients.
A consistent iPSC control-cell line platform will provide a robust metabolic/phenotypic model allowing faster, cost-effective, large cohort screenings.
Review abstract:
Background
Fibromyalgia (FM) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) are devastating metabolic neuroimmune diseases that are difficult to diagnose because of the presence of numerous symptoms and a lack of specific biomarkers. Despite patient heterogeneity linked to patient subgroups and variation in disease severity, anomalies are found in the blood and plasma of these patients when compared with healthy control groups.
Stem cells are the body’s raw materials — cells from which all other cells with specialized functions are generated. Under the right conditions in the body or a laboratory, stem cells divide to form more cells called daughter cells. Mayo Clinic
The seeming specificity of these ‘plasma factors’, as recently reported by Ron Davis and his group at Stanford University, CA, United States, and observations by our group, have led to the proposal that induced pluripotent stem cells (iPSCs) may be used as metabolic sensors for FM and ME/CFS, a hypothesis that is the basis for this in-depth review.
Aim
To identify metabolic signatures in FM and/or ME/CFS supporting the existence of disease-associated plasma factors to be sensed by iPSCs.
Methods
A PRISMA (Preferred Reported Items for Systematic Reviews and Meta-analysis)-based systematic review of the literature was used to select original studies evaluating the metabolite profiles of FM and ME/CFS body fluids. The MeSH terms ‘metabolomic’ or ‘metabolites’ in combination with FM and ME/CFS disease terms were screened against the PubMed database.
Only original studies applying omics technologies, published in English, were included. The data obtained were tabulated according to the disease and type of body fluid analyzed. Coincidences across studies were searched and P-values reported by the original studies were gathered to document significant differences found in the disease groups.
Results
Eighteen previous studies show that some metabolites are commonly altered in ME/CFS and FM body fluids. In vitro cell-based assays have the potential to be developed as screening platforms, providing evidence for the existence of factors in patient body fluids capable of altering morphology, differentiation state and/or growth patterns. Moreover, they can be further developed using approaches aimed at blocking or reversing the effects of specific plasma/serum factors seen in patients. The documented high sensitivity and effective responses of iPSCs to environmental cues suggests that these pluripotent cells could form robust, reproducible reporter systems of metabolic diseases, including ME/CFS and FM.
Furthermore, culturing iPSCs, or their mesenchymal stem cell counterparts, in patient-conditioned medium may provide valuable information to predict individual outcomes to stem-cell therapy in the context of precision medicine studies.
Conclusion
This opinion review explains our hypothesis that iPSCs could be developed as a screening platform to provide evidence of a metabolic imbalance in FM and ME/CFS.
