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1.
PLoS Pathog ; 19(6): e1011088, 2023 06.
Artigo em Inglês | MEDLINE | ID: mdl-37352334

RESUMO

Macrophages employ an array of pattern recognition receptors to detect and eliminate intracellular pathogens that access the cytosol. The cytosolic carbohydrate sensors Galectin-3, -8, and -9 (Gal-3, Gal-8, and Gal-9) recognize damaged pathogen-containing phagosomes, and Gal-3 and Gal-8 are reported to restrict bacterial growth via autophagy in cultured cells. However, the contribution of these galectins to host resistance during bacterial infection in vivo remains unclear. We found that Gal-9 binds directly to Mycobacterium tuberculosis (Mtb) and Salmonella enterica serovar Typhimurium (Stm) and localizes to Mtb in macrophages. To determine the combined contribution of membrane damage-sensing galectins to immunity, we generated Gal-3, -8, and -9 triple knockout (TKO) mice. Mtb infection of primary macrophages from TKO mice resulted in defective autophagic flux but normal bacterial replication. Surprisingly, these mice had no discernable defect in resistance to acute infection with Mtb, Stm or Listeria monocytogenes, and had only modest impairments in bacterial growth restriction and CD4 T cell activation during chronic Mtb infection. Collectively, these findings indicate that while Gal-3, -8, and -9 respond to an array of intracellular pathogens, together these membrane damage-sensing galectins play a limited role in host resistance to bacterial infection.


Assuntos
Mycobacterium tuberculosis , Tuberculose , Camundongos , Animais , Galectina 3/genética , Tuberculose/metabolismo , Galectinas/genética , Galectinas/metabolismo , Macrófagos , Salmonella typhimurium , Camundongos Knockout
2.
Neoreviews ; 22(2): e78-e87, 2021 02.
Artigo em Inglês | MEDLINE | ID: mdl-33526637

RESUMO

The worldwide rates of obesity have increased significantly in recent decades. In the United States, more than 50% of pregnant women are overweight or obese. Obese gravid women are more prone to adverse pregnancy outcomes, including gestational diabetes, hypertensive disorders, and cardiovascular diseases. The adverse outcomes extend beyond the pregnant obese woman; offspring of obese women are themselves at increased risk of prematurity, fetal death, injury during birth, and transient respiratory problems and metabolic effects (ie, neonatal hypoglycemia). Furthermore, maternal obesity can predispose their offspring to long-term health problems, potentially generating an intergenerational cycle of obesity and insulin resistance.


Assuntos
Diabetes Gestacional , Obesidade , Complicações na Gravidez , Peso ao Nascer , Índice de Massa Corporal , Diabetes Gestacional/epidemiologia , Feminino , Humanos , Obesidade/complicações , Obesidade/epidemiologia , Gravidez , Complicações na Gravidez/epidemiologia , Complicações na Gravidez/etiologia
3.
BMC Genomics ; 9: 70, 2008 Feb 07.
Artigo em Inglês | MEDLINE | ID: mdl-18257930

RESUMO

BACKGROUND: With the sequence of the Plasmodium falciparum genome and several global mRNA and protein life cycle expression profiling projects now completed, elucidating the underlying networks of transcriptional control important for the progression of the parasite life cycle is highly pertinent to the development of new anti-malarials. To date, relatively little is known regarding the specific mechanisms the parasite employs to regulate gene expression at the mRNA level, with studies of the P. falciparum genome sequence having revealed few cis-regulatory elements and associated transcription factors. Although it is possible the parasite may evoke mechanisms of transcriptional control drastically different from those used by other eukaryotic organisms, the extreme AT-rich nature of P. falciparum intergenic regions (approximately 90% AT) presents significant challenges to in silico cis-regulatory element discovery. RESULTS: We have developed an algorithm called Gene Enrichment Motif Searching (GEMS) that uses a hypergeometric-based scoring function and a position-weight matrix optimization routine to identify with high-confidence regulatory elements in the nucleotide-biased and repeat sequence-rich P. falciparum genome. When applied to promoter regions of genes contained within 21 co-expression gene clusters generated from P. falciparum life cycle microarray data using the semi-supervised clustering algorithm Ontology-based Pattern Identification, GEMS identified 34 putative cis-regulatory elements associated with a variety of parasite processes including sexual development, cell invasion, antigenic variation and protein biosynthesis. Among these candidates were novel motifs, as well as many of the elements for which biological experimental evidence already exists in the Plasmodium literature. To provide evidence for the biological relevance of a cell invasion-related element predicted by GEMS, reporter gene and electrophoretic mobility shift assays were conducted. CONCLUSION: This GEMS analysis demonstrates that in silico regulatory element discovery can be successfully applied to challenging repeat-sequence-rich, base-biased genomes such as that of P. falciparum. The fact that regulatory elements were predicted from a diverse range of functional gene clusters supports the hypothesis that cis-regulatory elements play a role in the transcriptional control of many P. falciparum biological processes. The putative regulatory elements described represent promising candidates for future biological investigation into the underlying transcriptional control mechanisms of gene regulation in malaria parasites.


Assuntos
Biologia Computacional/métodos , Plasmodium falciparum/genética , Elementos Reguladores de Transcrição/genética , Algoritmos , Animais , Variação Antigênica/genética , Replicação do DNA , Eritrócitos/metabolismo , Eritrócitos/parasitologia , Genoma de Protozoário/genética , Humanos , Íntrons/genética , Modelos Genéticos , Família Multigênica , Plasmodium falciparum/crescimento & desenvolvimento , Plasmodium falciparum/imunologia , Plasmodium falciparum/patogenicidade , Biossíntese de Proteínas/genética , Desenvolvimento Sexual/genética , Esporozoítos/metabolismo
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