Association of SNPs rs6498169 and rs10984447 with multiple sclerosis in Saudi patients: a model of the usefulness of familial aggregates in identifying genetic linkage in a multifactorial disease

Pharmacogenetic Predictors of Response to Interferon Beta Therapy in Multiple Sclerosis

First-line therapy with interferon beta (IFN-β), involved in gene expression modulation in immune response, is widely used for multiple sclerosis. However, 30-50% of patients do not respond optimally. Variants in CBLB, CTSS, GRIA3, OAS1 and TNFRSF10A genes have been proposed to contribute to the variation in the individual response. The purpose of this study was to evaluate the influence of gene polymorphisms on the IFN-β response in relapsing-remitting multiple sclerosis (RRMS) patients. CBLB (rs12487066), GRIA3 (rs12557782), CTSS (rs1136774), OAS1 (rs10774671) and TNFRSF10A (rs20576) polymorphisms were analysed by Taqman in 137 RRMS patients. Response to IFN-β and change in the Expanded Disability Status Scale (EDSS) after 24 months were evaluated using multivariable logistic regression analysis. Carriers of at least one copy of the C allele of CTSS-rs1136774 had a better response to IFN-β (p = 0.0423; OR = 2.94; CI95% = 1.03, 8.40). Carriers of TT genotype of TNFRSF10A-rs20576 had a higher probability of maintaining their EDSS stable after 24 months of IFN-β treatment (p = 0.0251; OR = 5.71; CI95% = 1.39, 31.75). No influence of CBLB (rs12487066), OAS1 (rs10774671) and GRIA3 (rs12557782) gene polymorphisms in the variation of the individual response to IFN-β was shown. Our results suggest that the TNFRSF10A-rs20576 and CTSS-rs1136774 gene polymorphisms influence the response to IFN-β after 24 months, while the CBLB (rs12487066), OAS1 (rs10774671) or GRIA3 (rs12557782) gene polymorphisms had no effect on the variation of the individual response to IFN-β.

Association of rs12487066, rs12044852, rs10735781, rs3135388, rs6897932, rs1321172, rs10492972, and rs9657904 Polymorphisms with Multiple Sclerosis in Iranian Population

Objectives

Multiple sclerosis (MS) is a chronic disease of the central nervous system. The pathogenesis of MS is best described by a multifactorial model incorporating interactions between genetic and environmental factors with the role of genetic factors increasingly taken into account. The main goal of this study was to investigate the associations of rs12487066, rs12044852, rs10735781, rs3135388, rs6897932, rs1321172, rs10492972, and rs9657904 polymorphisms with MS in the Iranian population.

Methods

A total of 83 patients with MS (82.0% female and 18.0% male; mean age = 35.2±8.6 years) and 100 physically and mentally healthy subjects (81.0% female and 19.0% male; mean age = 40.4±6.4 years) were selected using convenient sampling. A 5 mL blood sample was taken from each case and control patient. We used the tetra-primer ARMS-PCR method to genotype the desired polymorphisms. The associations between polymorphisms and the disease were studied based on codominant, dominant, recessive, and overdominant models.

Results

The rs10735781 polymorphism was codominantly (p = 0.029), overdominantly (p = 0.008), and dominantly (p = 0.009) associated with the disease. The rs6897932 was also found to be codominantly (p = 0.012), dominantly (p = 0.019), and recessively (p = 0.011) associated with the disease.

Conclusions

We found an association between the rs10735781 and rs6897932 polymorphisms on the EVI5 and IL7RA genes, respectively, with increased MS in the Iranian population. Therefore, single nucleotide polymorphisms in the EVI5 and IL7RA genes can be considered a prognostic marker of MS.

Depression and perceived social support among Saudi patients with multiple sclerosis

PURPOSE

To examine the association between depression level and perceived social support among patients with multiple sclerosis (MS) in Saudi Arabia.

DESIGN AND METHODS

A cross-sectional, descriptive, correlational design was used with 140 patients. A self-reporting questionnaires were used.

FINDINGS

The age range of the participants was 18-59 years (mean 34.3 years, SD 7.69). The mean score for reported depression was 27.5 which is considered as moderate level of depression. The mean score of the Multidimensional Scale of Perceived Social Support (MSPSS) was 45.3 (SD = 16.2). Patients with MS who received higher level of social support exhibits lower level of depression.

PRACTICE IMPLICATIONS

Aside from addressing physiological needs, healthcare providers must ensure that patients with MS receive positive social support to decrease level of depression.

ZFAT gene variant association with multiple sclerosis in the Arabian Gulf population: A genetic basis for gender-associated susceptibility

Single nucleotide polymorphisms (SNPs) are useful genetic markers to investigate the onset of multiple sclerosis (MS). A genome wide association study identified 7 SNPs associated with interferon‑β therapy response, however, not with MS risk in a Spanish population. To investigate these findings in a different cohort, the 7 SNPs were investigated in an Arabian Gulf population. The SNPs were analyzed in 268 subjects (156 patients and 112 healthy volunteers) from the Arabian Gulf region using restriction fragment length polymorphism-polymerase chain reaction (PCR) and KBioscience Competitive Allele Specific PCR genotyping methods. Associations between the SNPs and MS were investigated using logistic regression. The present study observed, for the first time, that in an Arabian Gulf population, the ZFAT rs733254 polymorphism (T>G) is a gender‑specific risk marker for MS. ZFAT was associated with MS in women but not in men. The G variant was highly associated with the risk of MS [odds ratio (OR)=2.38 and 95% confidence interval (CI), 1.45‑3.91); P=0.0014]. Whereas variant T was a significantly protective factor [OR=0.420 (95% CI, 0.25‑0.69); P=0.0014, recessive model]. The findings of the present study provide a genetic basis for the gender‑associated susceptibility to MS. In addition, this MS-associated rs733254 SNP may predict MS onset in females from the Arabian Gulf population.

Reprogramming of HUVECs into induced pluripotent stem cells (HiPSCs), generation and characterization of HiPSC-derived neurons and astrocytes

Neurodegenerative diseases are characterized by chronic and progressive structural or functional loss of neurons. Limitations related to the animal models of these human diseases have impeded the development of effective drugs. This emphasizes the need to establish disease models using human-derived cells. The discovery of induced pluripotent stem cell (iPSC) technology has provided novel opportunities in disease modeling, drug development, screening, and the potential for “patient-matched” cellular therapies in neurodegenerative diseases. In this study, with the objective of establishing reliable tools to study neurodegenerative diseases, we reprogrammed human umbilical vein endothelial cells (HUVECs) into iPSCs (HiPSCs). Using a novel and direct approach, HiPSCs were differentiated into cells of central nervous system (CNS) lineage, including neuronal, astrocyte and glial cells, with high efficiency. HiPSCs expressed embryonic genes such as nanog, sox2 and Oct-3/4, and formed embryoid bodies that expressed markers of the 3 germ layers. Expression of endothelial-specific genes was not detected in HiPSCs at RNA or protein levels. HiPSC-derived neurons possess similar morphology but significantly longer neurites compared to primary human fetal neurons. These stem cell-derived neurons are susceptible to inflammatory cell-mediated neuronal injury. HiPSC-derived neurons express various amino acids that are important for normal function in the CNS. They have functional receptors for a variety of neurotransmitters such as glutamate and acetylcholine. HiPSC-derived astrocytes respond to ATP and acetylcholine by elevating cytosolic Ca²⁺ concentrations. In summary, this study presents a novel technique to generate differentiated and functional HiPSC-derived neurons and astrocytes. These cells are appropriate tools for studying the development of the nervous system, the pathophysiology of various neurodegenerative diseases and the development of potential drugs for their treatments.