Seasonality and clinical characteristics of MS in an equatorial country.

Background: Month and season of birth have been associated with risk of multiple sclerosis (MS), but there is relatively little evidence regarding their influence on the timing and severity of disease at onset.

Objective: To assess whether month and season of birth influence the age and phenotype at onset of MS as well as its severity in a cohort of Colombian patients.

Methods: This study is an analysis on MS cases only, drawn from a previously published case-control study.

No seasonality in the risk of multiple sclerosis in an equatorial country: A case-control ecological study.

Background: Multiple sclerosis risk has been shown to have seasonal variations that are more pronounced in higher latitudes. However, this phenomenon has not been adequately studied near the Equator.

Objective: To explore the risk of multiple sclerosis associated with month, season of birth, and sunlight exposure variables in Colombia.

Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis.

The bioinformatic pipeline previously developed in our research laboratory is used to identify potential general and specific deregulated tumor genes and transcription factors related to the establishment and progression of tumoral diseases, now comparing lung cancer with other two types of cancer. Twenty microarray datasets were selected and analyzed separately to identify hub differentiated expressed genes and compared to identify all the deregulated genes and transcription factors in common between the three types of cancer and those unique to lung cancer. The winning DEGs analysis allowed to identify an important number of TFs deregulated in the majority of microarray datasets, which can become key biomarkers of general tumors and specific to lung cancer.

Delayed diagnosis of multiple sclerosis in a low prevalence country.

: Early diagnosis and treatment of multiple sclerosis (MS) is crucial to avoid future disability. The factors that influence diagnostic delay in low prevalence settings have been poorly studied.: To evaluate the factors associated with a delayed diagnosis of MS after the symptomatic onset.