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Martin D.H.,Louisiana State University Health Sciences Center | Zozaya M.,Research Institute for Children | Lillis R.A.,Louisiana State University Health Sciences Center | Nsuami M.J.,Louisiana State University Health Sciences Center | And 2 more authors.
Journal of Infectious Diseases | Year: 2013

Background. The prevalence of Trichomonas vaginalis infection is highest in women with intermediate Nugent scores. We hypothesized that the vaginal microbiota in T. vaginalis-infected women differs from that in T. vaginalis-uninfected women.Methods. Vaginal samples from 30 T. vaginalis-infected women were matched by Nugent score to those from 30 T. vaginalis-uninfected women. Equal numbers of women with Nugent scores categorized as normal, intermediate, and bacterial vaginosis were included. The vaginal microbiota was assessed using 454 pyrosequencing analysis of polymerase chain reaction-amplified 16S ribosomal RNA gene sequences. The 16S ribosomal RNA gene sequence of an unknown organism was obtained by universal bacterial polymerase chain reaction amplification, cloning, and sequencing.Results. Principal coordinates analysis of the pyrosequencing data showed divergence of the vaginal microbiota in T. vaginalis-infected and T. vaginalis-uninfected patients among women with normal and those with intermediate Nugent scores but not among women with bacterial vaginosis. Cluster analysis revealed 2 unique groups of T. vaginalis-infected women. One had high abundance of Mycoplasma hominis and other had high abundance of an unknown Mycoplasma species. Women in the former group had clinical evidence of enhanced vaginal inflammation. Conclusions. T. vaginalis may alter the vaginal microbiota in a manner that is favorable to its survival and/or transmissibility. An unknown Mycoplasma species plays a role in some of these transformations. In other cases, these changes may result in a heightened host inflammatory response. © 2013 The Author. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved.


Tran L.,Louisiana State University Health Sciences Center | Ferris M.,Louisiana State University Health Sciences Center | Ferris M.,Research Institute for Children | Norori J.,Research Institute for Children | And 5 more authors.
Pediatrics | Year: 2013

Necrotizing enterocolitis is the most common gastrointestinal emergency in neonates. The etiology is considered multifactorial. Risk factors include prematurity, enteral feeding, hypoxia, and bacterial colonization. The etiologic role of viruses is unclear. We present a case of necrotizing enterocolitis associated with cytomegalovirus and Proteobacteria in a 48-day-old, ex-premature infant and discuss the effects of potential viral-bacterial interactions on host susceptibility to this disease. Pediatrics 2013;131:e318-e322. Copyright © 2013 by the American Academy of Pediatrics.


PubMed | VeraLight and Research Institute for Children
Type: Journal Article | Journal: Journal of diabetes science and technology | Year: 2015

The objective was to assess the relationship of skin advanced glycation endproducts (AGEs) between first-degree relatives estimated from skin fluorescence (SF) after adjustment for skin pigmentation. SF was excited by LEDs centered at 375, 405, and 420 nm from children with type 1 diabetes and their mothers. Data were adjusted to generate measures of skin intrinsic fluorescence (SIF) at the various excitation wavelengths, using 2 different pairs of correction coefficients for excitation (kx) and emission (km): kx = 0.5, km = 0.5 (not associated with skin pigmentation) and kx = 1.0, km = 0.0 (strongly associated with skin pigmentation). Pearson correlation analysis was performed, as well as a multiple variable analysis with maternal SIF adjusted for the effects of maternal age and race. There were 50 matched pairs of children and their mothers. Children were 13.3 3.7 years of age and there were 19 boys/31 girls and 15 black/35 white. Mothers were 41.8 6.8 years of age. The age of mother and child was highly correlated, r = .64, P < .0001. In Pearson correlation analysis, childs SIF (kx = 1.0, km = 0.0) the had strongest association with maternal SIF, while with SIF (kx = 0.5, km = 0.5) there was a trend for association. In the multiple variable model child SIF was associated with maternal SIF for all corrections and wavelengths but was stronger for kx = 1.0, km = 0.0. Even after adjustment for skin pigmentation and race, correlation of SIF between family members persists, suggesting that other genetic and/or environmental factors shared by parent and child may influence estimated skin AGEs.

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