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Lopez-Agudelo, V. A.

Publications and source records attributed to Lopez-Agudelo, V. A..

2 recordsLinked to original sources

Intestinal epithelial Atg16l1 influences pregnancy-induced fecal microbiota shifts in mice

Throughout gestation, the female body undergoes a series of transformations, including profound alterations in intestinal microbial communities. Changes gradually increase towards the end of pregnancy and comprise reduced -diversity of microbial communities and an increased propensity for energy harvest. Despite the importance of the intestinal microbiota for the pathophysiology of inflammatory bowel diseases, very little is known about the relationship between these microbiota shifts and pregnancy-associated complications of the disease. Here, we explored the longitudinal dynamics of gut microbiota composition and functional potential during pregnancy and after lactation in Atg16l1{Delta}IECmice carrying an intestinal epithelial deletion of the Croh[n]s disease risk gene Atg16l1. Using 16S rRNA amplicon and shotgun metagenomic sequencing, we demonstrated divergent temporal shifts in microbial composition between Atg16l1 wildtype and Atg16l1{Delta}IECpregnant mice in trimester 3, which was validated in an independent experiment. Observed differences included microbial genera implicated in IBD such as Lachnospiraceae, Roseburia, Ruminococcus, and Turicibacter. Changes partially recovered after lactation. In addition, functional inference of metagenomic data suggest a reduced potential to biosynthesize mucosal protective polyamines and reduced capacity to metabolize acidic polysaccharides (ketogluconate metabolism). On the host side, we found that the immunological response of Atg16l1{Delta}IEC mice is characterized by higher colonic mRNA levels of TNFA, and CXCL1 in trimester 3 and a lower weight of offspring at birth. Understanding pregnancy-dependent microbiome changes in the context of IBD may constitute the first step in the identification of fecal microbial biomarkers and microbiota-directed therapies that could help improving precision care for managing pregnancies in IBD patients.

microbiology↗

A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks

The metabolism of the causative agent of TB, Mycobacterium tuberculosis (Mtb) has recently re-emerged as an attractive drug target. A powerful approach to study Mtb metabolism is to use a systems biology framework, such as a Genome-Scale Metabolic Network (GSMN) that allows the dynamic interactions of the many individual components of metabolism to be interrogated together. Several GSMNs networks have been constructed for Mtb and used to study the complex relationship between Mtb genotype and phenotype. However, their utility is hampered by the existence of multiple models of varying properties and performances. Here we systematically evaluate eight recently published metabolic models of Mtb-H37Rv to facilitate model choice. The best performing models, sMtb2018 and iEK1011, were refined and improved for use in future studies by the TB research community.

systems biology↗