Metabolic Biomarkers in B-Cell Lymphomas for Early Diagnosis and Prediction, as Well as Their Influence on Prognosis and Treatment.

B-cell lymphomas exhibit a vast variety of clinical and histological characteristics that might complicate the diagnosis. Timely diagnosis is crucial, as treatments for aggressive subtypes are considered successful and frequently curative, whereas indolent B-cell lymphomas are incurable and often need several therapies. The purpose of this review is to explore the current advancements achieved in B-cell lymphomas metabolism and how these indicators help to early detect metabolic changes in B-cell lymphomas and the use of predictive biological markers in refractory or relapsed disease. Since the year 1920, the Warburg effect has been known as an integral part of metabolic reprogramming. Compared to normal cells, cancerous cells require more glucose. These cancer cells undergo aerobic glycolysis instead of oxidative phosphorylation to metabolize glucose and form lactate as an end product. With the help of these metabolic alterations, a novel biomass is generated by the formation of various precursors. An aggressive metabolic phenotype is an aerobic glycolysis that has the advantage of producing high-rate ATP and preparing the biomass for the amino acid, as well as fatty acid, synthesis needed for a rapid proliferation of cells, while aerobic glycolysis is commonly thought to be the dominant metabolism in cancer cells. Later on, many metabolic biomarkers, such as increased levels of lactate dehydrogenase (LDH), plasma lactate, and deficiency of thiamine in B-cell lymphoma patients, were discovered. Various kinds of molecules can be used as biomarkers, such as genes, proteins, or hormones, because they all refer to body health. Here, we focus only on significant metabolic biomarkers in B-cell lymphomas. In conclusion, many metabolic biomarkers have been shown to have clinical validity, but many others have not been subjected to extensive testing to demonstrate their clinical usefulness in B-cell lymphoma. Furthermore, they play an essential role in the discovery of new therapeutic targets.

The expression of SMN1, MART3, GLE1 and FUS genes in spinal muscular atrophy.

INTRODUCTION: Spinal muscular atrophy (SMA) is one of the most common genetic causes of death in infants due to a mutation of the motor neuron 1 (SMN1) gene. The SMN1 gene encodes for the multifunctional SMN protein. SMN has been shown to be implicated in pre-mRNA splicing, mRNA transport and translational control. Also other mRNA processing proteins, such as GLE1, Marten (MART3) and Fused in Sarcoma (FUS), have been linked to neurodegenerative diseases. The aim of the study was to determine the expression of SMN, GLE1, MART3 and FUS genes in cell lines of the fibroblasts derived from SMA patients and normal controls. MATERIAL AND METHODS: Total RNA was extracted from purchased fibroblasts acquired from three SMA type I patients and fibroblasts of three age-matched healthy controls. The RNA was then subjected to qPCR analysis using primers specific for the GLE1, MART3, FUS and SMN1 genes vs. GAPDH as internal control gene. RESULTS: SMN1 mRNA levels were at least ×10 lower in fibroblasts of SMA patients compared to controls. Gle1 and MART3 gene expression was ×2 downregulated whereas FUS mRNA levels appeared to be ×3 upregulated in SMA cells when compared to controls. We found a high correlation between FUS gene expression level to the SMN1 at gene expression level of fibroblast cell lines of SMA type I patients (r = 0.994, p < 0.0001). CONCLUSIONS: Our preliminary data show an intriguing expression profile of Gle1, MART3 and FUS genes in SMA, and suggest a critical role of FUS protein in the SMA pathogenesis.