The Effect of a Polysaccharide-Based Multinutrient Dietary Supplementation Regimen on Infections and Immune Functioning in Multiple Sclerosis

Multiple sclerosis (MS) is a progressive neurodegenerative disease associated with increased infection rates, chronic inflammation, and premature death. Optimization of nutritional status via dietary supplementation may improve immune function in people suffering from MS and lead to decreased rates of infection. Fifteen individuals with a diagnosis of relapsing-remitting MS for an average of 12.4 years (SD =7.4; R = 2, 25) were enrolled in a one-year open-label clinical trial. Participants consumed a broad-spectrum dietary supplement regimen containing polysaccharides, phytochemicals, antioxidants, vitamins, and minerals three times per day. The occurrence of infections and a panel of cytokines, growth factors, and T- and B-cell subsets were assessed at baseline and 12 months. Seven female and 8 male participants with an average age of 51.3 years (SD =7.2; R = 38, 65) completed the study. At the end of the intervention, participants had fewer total infections (M = 7.9, SD =8.1 at baseline and M = 2.5, SD =4.3 at 12-month follow-up). At 12 months, IL-2, TNF-α, EGF, and CD95 + CD34+ significantly increased, while IL-1β significantly decreased. No major adverse effects were reported; only mild gastrointestinal intolerance was reported in four cases. A decreased occurrence of infection was observed in MS patients treated with 12 months of a polysaccharide-based multinutrient dietary supplement. Significant changes were also noted in several key biomarkers that would be physiologically favorable to the MS population. Thus, the results of this study suggest an immunomodulatory effect of the dietary supplement regimen studied

A multi-omic analysis of human naïve CD4+ T cells

Background: Cellular function and diversity are orchestrated by complex interactions of fundamental biomolecules including DNA, RNA and proteins. Technological advances in genomics, epigenomics, transcriptomics and proteomics have enabled massively parallel and unbiased measurements. Such high-throughput technologies have been extensively used to carry out broad, unbiased studies, particularly in the context of human diseases. Nevertheless, a unified analysis of the genome, epigenome, transcriptome and proteome of a single human cell type to obtain a coherent view of the complex interplay between various biomolecules has not yet been undertaken. Here, we report the first multi-omic analysis of human primary naïve CD4+ T cells isolated from a single individual. Results: Integrating multi-omics datasets allowed us to investigate genome-wide methylation and its effect on mRNA/protein expression patterns, extent of RNA editing under normal physiological conditions and allele specific expression in naïve CD4+ T cells. In addition, we carried out a multi-omic comparative analysis of naïve with primary resting memory CD4+ T cells to identify molecular changes underlying T cell differentiation. This analysis provided mechanistic insights into how several molecules involved in T cell receptor signaling are regulated at the DNA, RNA and protein levels. Phosphoproteomics revealed downstream signaling events that regulate these two cellular states. Availability of multi-omics data from an identical genetic background also allowed us to employ novel proteogenomics approaches to identify individual-specific variants and putative novel protein coding regions in the human genome. Conclusions: We utilized multiple high-throughput technologies to derive a comprehensive profile of two primary human cell types, naïve CD4+ T cells and memory CD4+ T cells, from a single donor. Through vertical as well as horizontal integration of whole genome sequencing, methylation arrays, RNA-Seq, miRNA-Seq, proteomics, and phosphoproteomics, we derived an integrated and comparative map of these two closely related immune cells and identified potential molecular effectors of immune cell differentiation following antigen encounter