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Delgado, M. E.

Publications and source records attributed to Delgado, M. E..

2 recordsLinked to original sources

Liver Receptor Homolog-1 (LRH-1/NR5A2) orchestrates hepatic inflammation and TNF-induced cell death

Liver Receptor Homolog-1 (LRH-1/NR5A2) is a nuclear receptor that has been shown to promote apoptosis resistance in various tissues and disease contexts, however, its role in liver cell death remains unexplored. Deletion of LRH-1 in hepatocytes developed into a mild steatosis and inflammation already under steady-state conditions. Unexpectedly, hepatocyte-specific deletion of LRH-1 also resulted in a profound protection of mice from TNF-induced hepatocyte apoptosis and associated hepatitis. LRH-1-deficient hepatocytes showed elevated NF-B activity, while LRH-1 overexpression inhibited NF-B activity. This inhibition was based on direct physical interaction of the ligand-binding domain of LRH-1 and the Rel homology domain of NF-B subunit RelA. Mechanistically, we found that increased transcription of anti-apoptotic NF-B target genes, together with proteasomal degradation of pro-apoptotic BIM via regeneration-driven EGF receptor signaling, prevented mitochondrial apoptosis, ultimately protecting mice from TNF-induced liver damage. Collectively, our study demonstrates that LRH-1 is a critical modulator of cell death and inflammation in the healthy and diseased liver. HighlightsO_LIHepatic LRH-1 deletion causes mild liver steatosis, fibrosis, and inflammation. C_LIO_LIFemale LRH-1-deficient mice are protected from TNF-induced liver damage. C_LIO_LILRH-1 interacts with NF-B and inhibits its activity. C_LIO_LILRH-1 deletion-provoked inflammation causes degradation of pro-apoptotic protein BIM. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/542039v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@13cd609org.highwire.dtl.DTLVardef@1080012org.highwire.dtl.DTLVardef@3cd9c4org.highwire.dtl.DTLVardef@fd0438_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

A paleogenetic perspective of the Sabana de Bogota (Northern South America) population history over the Holocene (9000 - 550 cal BP)

ABSTRACTOn the basis of distinct lines of evidence, detailed reconstructions of the Holocene population history of the Sabana de Bogota (SB) region, Northern South America, have been performed. Currently, there exist two competing models that support temporal continuity or, alternatively, divergence. Despite recent research that lends support to the population discontinuity model, several discrepancies remain, calling for other kinds of evidences to be explored for a more detailed picture of Holocene biocultural evolution. In this study, we analyze the mitochondrial genetic diversity of 30 individuals (including 15 newly reported complete mitochondrial genomes) recovered from several archaeological sites spanning from the late Pleistocene (12,164 cal BP) until the final late Holocene (2,751 cal BP) along with published data from the region dating [~]9,000-550 cal BP in order to investigate diachronic genetic change. Genetic diversity and distance indices were calculated, and demographic models tested in an approximate Bayesian computation (ABC) framework to evaluate whether patterns of genetic affinities of the SB prehispanic populations support genetic continuity or discontinuity. The results show that mitochondrial genomes of the complete dataset fall within the Native American haplogroups A2, B2, C1b, D1 and D4h3a. Haplotype and nucleotide diversity declined over time with further evidence of genetic drift and remarkable reduction of genetic diversity during the final late Holocene. Inter-population distances and the exact test of population differentiation, as well as demographic simulations show no population differentiation and population continuity over time. Consequently, based on the analyzed data, we cannot reject the genetic continuity in the SB region as a plausible population history scenario. However, the restriction of the analyses to the Hyper Variable Region 1 of the mitochondrial genome, and the very low sample size both constitute significant limitations to infer evolutionary history.

genetics↗