0000000001310658
AUTHOR
Anaïs Baudot
showing 14 related works from this author
Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Este es el artículo que se ha publicado de forma definitiva en: https://molecularautism.biomedcentral.com/articles/10.1186/s13229-019-0262-8 En este artículo también participa Joan Climent, Vera Pancaldi, Lourdes Fañanás, Celso Arango, Mara Parellada, Anaïs Baudot, Daniel Vogt, John L. Rubenstein, Alfonso Valencia y Rafael Tabarés-Seisdedos. Background: Epidemiological and clinical evidence points to cancer as a comorbidity in people with autism spectrum disorders (ASD). A significant overlap of genes and biological processes between both diseases has also been reported. Methods: Here, for the first time, we compared the gene expression profiles of ASD frontal cortex tissues and 22 cancer t…
Molecular evidence for the inverse comorbidity between central nervous system disorders and cancers detected by transcriptomic meta-analyses.
2014
There is epidemiological evidence that patients with certain Central Nervous System (CNS) disorders have a lower than expected probability of developing some types of Cancer. We tested here the hypothesis that this inverse comorbidity is driven by molecular processes common to CNS disorders and Cancers, and that are deregulated in opposite directions. We conducted transcriptomic meta-analyses of three CNS disorders (Alzheimer's disease, Parkinson's disease and Schizophrenia) and three Cancer types (Lung, Prostate, Colorectal) previously described with inverse comorbidities. A significant overlap was observed between the genes upregulated in CNS disorders and downregulated in Cancers, as wel…
Direct and Inverse Comorbidities Between Complex Disorders
2016
Comorbidity and multimorbidity, defined as the presence of more than one disease in individuals, have emerged as a major challenge in the last decade (Valderas et al., 2009). Indeed, researchers, health professionals, healthcare managers and policy makers, and patients and citizens are lagging behind considering the comorbidity scenario, as illustrated by the paucity of documentation concerning interventions in people with multiple conditions (Smith et al., 2012). There is a clear need to better understand disease-disease relationships, in order to better organize and provide care, but also to develop appropriate research models. We can first characterize direct multimorbidity (higher-than-…
No paradox, no progress: inverse cancer comorbidity in people with other complex diseases.
2011
Salvador Martínez [et al.]. 5 p., 2 tables and references.
A molecular hypothesis to explain direct and inverse co-morbidities between Alzheimer's Disease, Glioblastoma and Lung cancer.
2017
Epidemiological studies indicate that patients suffering from Alzheimer’s disease have a lower risk of developing lung cancer, and suggest a higher risk of developing glioblastoma. Here we explore the molecular scenarios that might underlie direct and inverse co-morbidities between these diseases. Transcriptomic meta-analyses reveal significant numbers of genes with inverse patterns of expression in Alzheimer’s disease and lung cancer, and with similar patterns of expression in Alzheimer’s disease and glioblastoma. These observations support the existence of molecular substrates that could at least partially account for these direct and inverse co-morbidity relationships. A functional analy…
Additional file 1: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Table S1. Datasets included in our study. Table S2. Age, gender and pmi distributions between cases and control samples at each step of the preprocessing procedure at the asd defferentail gene expression meta-analysis. Table S3. Final samples included in the asd meta-analysis. Table S4. Jointly same direction derregulated genes in asd ans sddcs and jointly oposite direction derregulated genes in asd and oddcs. Table S5. Genes jointly deregulated in asd and in sddcs and oddcs. Figure S1. Comaprison of differential gene expression analysis using limma with rlog transformed data and two state of the art rnaseq differential expression metdos. Figure S2. Patient overlap in the three asd studies.…
Additional file 5: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Full differential gene expression meta-analysis results of cancer data. (ZIP 31237 kb)
Additional file 3: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Full ASD GSEA pre-ranked enrichment results for different molecular signatures (C2, H, GO_BP, GO_CC, and GO_MF). (XLSX 698 kb)
Additional file 5: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Full differential gene expression meta-analysis results of cancer data. (ZIP 31237 kb)
Additional file 3: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Full ASD GSEA pre-ranked enrichment results for different molecular signatures (C2, H, GO_BP, GO_CC, and GO_MF). (XLSX 698 kb)
Additional file 4: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
gProfileR biological process overrepresentation results of the genes contained in the significant intersections of ASD, SDDCs, and ODDCs. (XLSX 233 kb)
Additional file 2: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Full ASD differential gene expression meta-analysis results. (CSV 1387 kb)
Additional file 2: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
Full ASD differential gene expression meta-analysis results. (CSV 1387 kb)
Additional file 4: of Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer
2019
gProfileR biological process overrepresentation results of the genes contained in the significant intersections of ASD, SDDCs, and ODDCs. (XLSX 233 kb)