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1.
Genetics ; 207(3): 961-974, 2017 11.
Article in English | MEDLINE | ID: mdl-28851745

ABSTRACT

The order Rhizobiales contains numerous agriculturally, biotechnologically, and medically important bacteria, including the rhizobia, and the genera Agrobacterium, Brucella, and Methylobacterium, among others. These organisms tend to be metabolically versatile, but there has been relatively little investigation into the regulation of their central carbon metabolic pathways. Here, RNA-sequencing and promoter fusion data are presented to show that the PckR protein is a key regulator of central carbon metabolism in Sinorhizobium meliloti; during growth with gluconeogenic substrates, PckR represses expression of the complete Entner-Doudoroff glycolytic pathway and induces expression of the pckA and fbaB gluconeogenic genes. Electrophoretic mobility shift assays indicate that PckR binds an imperfect palindromic sequence that overlaps the promoter or transcriptional start site in the negatively regulated promoters, or is present in tandem upstream the promoter motifs in the positively regulated promoters. Genetic and in vitro electrophoretic mobility shift assay experiments suggest that elevated concentrations of a PckR effector ligand results in the dissociation of PckR from its target binding site, and evidence is presented that suggests phosphoenolpyruvate may function as the effector. Characterization of missense pckR alleles identified three conserved residues important for increasing the affinity of PckR for its cognate effector molecule. Bioinformatics analyses illustrates that PckR is limited to a narrow phylogenetic range consisting of the Rhizobiaceae, Phyllobacteriaceae, Brucellaceae, and Bartonellaceae families. These data provide novel insights into the regulation of the core carbon metabolic pathways of this pertinent group of α-proteobacteria.


Subject(s)
Bacterial Proteins/metabolism , Carboxy-Lyases/metabolism , Gluconeogenesis , Glycolysis , Sinorhizobium meliloti/metabolism , Bacterial Proteins/chemistry , Bacterial Proteins/genetics , Carboxy-Lyases/chemistry , Carboxy-Lyases/genetics , Phosphoenolpyruvate/metabolism , Promoter Regions, Genetic , Protein Binding , Sinorhizobium meliloti/enzymology , Sinorhizobium meliloti/genetics
2.
Gerontologist ; 42(6): 734-9, 2002 Dec.
Article in English | MEDLINE | ID: mdl-12451154

ABSTRACT

PURPOSE: Adult Protective Services (APS) is the official state entity charged with advocacy for older adults who are victims of elder abuse or self-neglect. However, it has been speculated that APS intervention may lead disproportionately to nursing home placement (NHP). These analyses seek to determine if APS use is an independent risk factor for NHP. DESIGN AND METHODS: The sample was 2,812 community-dwelling older adults who were aged 65 years or older in 1982 in the New Haven Established Populations for Epidemiologic Studies in the Elderly cohort, a subset of whom were referred to elder protective services over a 9-year follow-up period from cohort inception. NHP of cohort members over that time period was determined. RESULTS: Rates of subsequent NHP were: 69.2% for self-neglecting subjects, 52.3% for mistreated subjects, and 31.8% for subjects who had no contact with APS (p <.001, both comparisons). In proportional hazard models that included other demographic, medical, functional, and social factors associated with NHP, the strongest risk factors for placement were APS referral for self-neglect (hazard ratio [HR], 5.23; 95% confidence interval [CI], 4.07-6.72), and for elder mistreatment (HR, 4.02; 95% CI, 2.50-6.47). These hazards far exceeded those for other medical, functional, and social factors. IMPLICATIONS: APS use is an independent risk factor for nursing home placement; persons identified by APS as self-neglecting are at the highest risk.


Subject(s)
Elder Abuse/prevention & control , Homes for the Aged/statistics & numerical data , Nursing Homes/statistics & numerical data , Patient Admission/statistics & numerical data , Aged , Aged, 80 and over , Female , Home Care Services , Humans , Longitudinal Studies , Male , Risk Factors , Social Work/statistics & numerical data
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