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Biology subjects

Diaz, R.

Publications and source records attributed to Diaz, R..

21 records · Page 2Linked to original sources

In Troyer Syndrome Spartin loss induces Complex I impairments and alters pyruvate metabolism

Growth delay and retardation are complex phenotypes which can results by a range of factors including genetics variants. We identified a novel homozygous frameshift mutation, c.892dupA, in SPART gene, in two brothers with short stature and psychomotor retardation, born from healthy consanguineous parents. Mutations in SPART are the cause of Troyer syndrome, an autosomal recessive form of spastic paraplegia resulting in muscle weakness, short stature and cognitive defects. SPART encodes for Spartin, a protein with different cellular functions, such as endosomal trafficking and mitochondrial stability.\n\nWe evaluated the effects of Spartin loss by transiently silencing SPART in human neural stem cells (hNSCs) and by generating an SH-SY5Y cell line model carrying the c.892dupA mutation via CRISPR/Cas9. In both models, we observed an altered neuronal growth and an increase in neurite outgrowth. In the SH-SY5Y cell line carrying the c.892dupA mutation, Spartin absence led to an altered distribution of mitochondria, and to a severe decrease in the NADH-dehydrogenase activity of mitochondrial Complex I. These impairments determined an energetic failure with a decrease in ATP synthesis due to a halt in mitochondrial oxidative phosphorylation, increased reactive oxygen species production, and alteration in intracellular Ca2+ homeostasis. Transient re-expression of Spartin in mutant cells restored an intracellular Ca2+ level. Mutant cells presented a significant increase in extracellular pyruvate, which may result from increased glycolysis due to impaired Complex I activity. Consistently, Spartin loss led to an over-activation of Signal Transducer and Activator of Transcription 3 (STAT3) factor, a key regulator of glycolysis.\n\nThese data demonstrate that Spartin loss leads to a profound bioenergetics imbalance with defective OXPHOS activity, and this altered metabolism might underlie Troyer syndrome and neurodevelopmental delays.

cell biology↗

The Portal Project: a long-term study of a Chihuahuan desert ecosystem

This is a data paper for the Portal Project, a long-term ecological study of rodents, plants, and ants located in southeastern Arizona, U.S.A. This paper contains an overview of methods and information about the structure of the data files and the relational structure among the files. This is a living data paper and will be updated with new information as major changes or additions are made to the data. All data - along with more detailed data collection protocols and site information - is archived at: https://doi.org/10.5281/zenodo.1215988.

ecology↗

Penetrance of polygenic obesity susceptibility loci across the body mass index distribution: an update on scaling effects.

A growing number of single nucleotide polymorphisms (SNPs) have been associated with body mass index (BMI) and obesity, but whether the effect of these obesity susceptibility loci is uniform across the BMI distribution remains unclear. We studied the effects of 37 BMI/obesity-associated SNPs in 75,230 adults of European ancestry along BMI percentiles using conditional quantile regression (CQR) and meta-regression (MR) models. The effects of 9 SNPs (24%) increased significantly across the sample BMI distribution including, FTO (rs1421085, p=8.69x10-15), PCSK1 (rs6235, p=7.11x10-06), TCF7L2 (rs7903146, p=9.60x10-06), MC4R (rs11873305, p=5.08x10-05), FANCL (rs12617233, p=5.30x10-05), GIPR (rs11672660, p=1.64x-04), MAP2K5 (rs997295, p=3.25x10-04), FTO (rs6499653, p=6.23x10-04) and NT5C2 (rs3824755, p=7.90x10-04). We showed that such increases stem from unadjusted gene interactions that enhanced the effects of SNPs in persons with high BMI. When 125 height-associated were analyzed for comparison, only one (<1%), IGF1 (rs6219, p=1.80x10-04), showed effects that varied significantly across height percentiles. Cumulative gene scores of these SNPs (GS-BMI and GS-Height, respectively) showed that only GS-BMI had effects that increased significantly across the sample distribution (BMI: p=7.03x10-37, Height: p=0.499). Overall, these findings underscore the importance of gene-gene and gene-environment interactions in shaping the genetic architecture of BMI and advance a method to detect such interactions using only the sample outcome distribution.

genetics↗