Recipient Organization
UNIVERSITY OF CALIFORNIA, DAVIS
410 MRAK HALL
DAVIS,CA 95616-8671
Performing Department
Neurobiology, Physiology and Behavior
Non Technical Summary
Obese people are more likely than lean people to have diseases such as high cholesterol, high blood pressure, type 2 diabetes, kidney disease and many other diseases. Obesity does not directly causes these diseases but it increases the risk - the percent of people who have each disease. This means that some obese people do not have any of these diseases. Thus, understanding why some obese people develop diseases, and why some do not, could be useful for preventing disease. Risk of disease can be influenced by gender, age and diet, but these alone do not explain all of the correlation between obesity and its co-morbidities. Individual genetic factors also influence the risk that an obese person will develop a co-morbidity. This project is specifically focused on how obesity increases the risk for devloping kidney disease, because kidney disease is one of the major causes of death in obese people. Kidney disease can be caused by urinary tract infections - bacterial infections in the ureters that pass urine from kidneys to the outside, because these urinary tract infections can move upstream and infect the kidneys. Bacterial infections of the kidneys reduce functioning of the kidneys, and may cause kidney failure, by causing a disease called glomerulonephritis.We have found a rat model where obese fatty Zucker rats develop kidney disease and are also likely to have urinary tract infections. Urinary tract infections were determined by taking samples from the kidney at sacrifice and then growing (or not) bacteria from those samples. Congenic rats are identical to a donor strain except for a part of one chromosome from a donor strain. We have made a congenic strain with Brown Norway rat genes on chromosome 1 and all other 20 chromosomes from the Zucker strain. This congenic is as fat as fatty Zucker, but kidney disease is much less severe and it is also much less likely to develop urinary tract infections. We have identified differences in the proteins present in urine of Zucker and congenic rats. Some of the proteins that are present in different amounts, such as lactoperoxidase, have antibacterial properties.Thus, our project is to confirm that these antibacterial proteins are really present in different amounts in Zucker and congenic animals. We will confirm that the lactoperoxidase in urine is an active protein and not just a fragment. We will test males and females, lean and obese rats. These studies will identify proteins that may have antibacterial effects, and will identify proteins that differ between lean and obese rats. Thus, we hope to identify the genetic factors that can make congenic rats resistant to urinary tract infections and subsequent kidney disease. Future translational work could then be designed to test the hypothesis that amounts of these proteins in human urine predicts likelihood of urinary tract infection and likelihood of developing more severe kidney disease.This project uses biological samples collected for a project where Judy Stern (Nutrition) is PI and Craig Warden is co-PI. These samples are collected using an IACUC protocol approved for Dr. Stern's project. This IACUC protocol, including several parts written by Dr. Warden, includes all procedures that are described in this project.
Animal Health Component
(N/A)
Research Effort Categories
Basic
100%
Applied
(N/A)
Developmental
(N/A)
Goals / Objectives
Urinary tract infections can cause kidney disease by causing glomerulonephritis. Kidney failure is one of the main causes of death for obese humans. I have been studying with my long time collaborator Judy Stern a fatty Zucker rat model where obesity is correlated with type 2 diabetes and kidney disease. The focus of Judy's research has been on the relationship between obesity and type 2 diabetes. This project will focus on the relationship of obesity and kidney disease in the Zucker rat model. Samples will be taken from tissues and urine stored for Dr. Stern's continuing project funded by Nora Eccles (which has a type 2 diabetes focus). Thus no additional animals will need to be maintained or used for this project.Studies of identical and dizygotic twins have shown that heritability for infections can be high. Heritability for mutans streptococci colonization in preschool twins was estimated as 52% (Corby, Bretz et al. 2005). Studies of monozygotic twins raised apart for H. pylori infection lead to heritability estimates of 57% (Malaty, Engstrand et al. 1994).There are no papers locating chromosomal locations for quantitative trait loci (QTLs) for bacterial infection in rats and only one paper has been published about QTLs for kidney infection in mice. Studies in mouse models have identified UTIs caused by several gene knockout models.Preliminary data for this project was produced by a study of Zucker fatty rats. Male and female Zucker rats were either lean (homozygous LeprSte) or fatty (homozygous LeprStefa,) on chromosome 4 and either homozygous for Brown Norway (ZUC.BN-Chr1) or Zucker alleles at the distal chromosome 1 congenic region.We performed aerobic bacteria culture from the renal pelvis of 117 chow fed non-barrier rats. Bacteria (one or more species) were cultured from 50 samples. The remaining 67 samples had no bacteria cultured. Three most common: Lactobacillus (12 times), E. coli (11 times), and Staphylococcus (7 times). We observed equal likelihood of infection from any species of bacteria in males and females, and in lean and fatty Zucker rats. 12 out of 45 congenics (27%) were infected while 38 out of 72 (52%) of Zuckers were infected (p=0.008). Contingency table analysis revealed a significant effect of any infection to increase urine volume and ACR in fatty animals homozygous for LeprfaSte. For the proteomics experiment urine was taken at 9 weeks from male fatty congenic and Zucker strain animals. All animals were checked for kidney infection by aerobic culture at sacrifice. Included animals were negative for bacterial growth We used 9 week old animals to minimize the effects of albumin on the proteomics analysis, and also to focus attention on proteins that may have causal early influences on the development of kidney disease. We have identified significant genotype effects on urine proteins in the proteomics experiment. There is a substantial enrichment of chromosome 1 congenic donor region genes in the proteins differing between congenic and Zucker strain rats.Table 1. Urine proteins in the Brown Norway Chromosome 1 congenic donor region with statistically significant differences between congenic and Zucker strain animals.Gene name, p-value Congenic versus Zucker , Fold Congenic/Zucker, RNAseq data, FunctionalinformationAnpep, p=0.0023, 2.8-fold, mRNA 1.14-fold higher congenic kidney p=0.008 at 15 weeks, Reduces basolateral Na+ -K+ -ATPase in proximal tubule cells. Has a role in coronavirus infections.Tpp1, p = 0.029, 2.3-fold, Not differential mRNA. Missense mutation congenic Cys97Arg. Likely functional, Lysosomal serine protease with tripeptidyl-peptidase I activity.Folr1, p=0.01, 2.6-fold, RNAseq 1.08 fold increase congenic p=0.018 at 15 weeks. Folate receptor. Binds folic acid and its reduced derivatives, and transports 5-methyltetrahydrofolate into cells.Gp2, p=0.019, 4-fold,, Congenic mRNA 1.4-fold higher congenic kidney 9 weeks p=0.027. Missense Glu116Gly in congenic, GP2 binds Escherichia coli Type 1 fimbriae.Lhpp, p=0.032, 3.9-fold, mRNA 1.1-fold higher congenic liver at 15 weeks p=0.0004Phosphatase that hydrolyzes imidodiphosphate, 3-phosphohistidine and 6-phospholysine.Psbpc1,p=0.00036, 8.1-fold, No mRNA data, Major secretory glycoprotein of the rat ventral prostate gland, binds steroids.tear acid-lipase-like protein-like, p=0.032, 2.4-fold, mRNA 1.03-fold higher liver congenic p=0.021 at 15 weeks, Secreted protein that lacks detectable lipase activity.Lactoperoxidase (chromosome 10), p=0.014, 2.8-fold, mRNA not differential in Kidney, Liver, Gonadal adipose. General antibacterial. Peroxidase.Methods for proteomicsCRITERIA FOR PROTEIN IDENTIFICATION-- Scaffold (version Scaffold_4.4.5, Proteome Software Inc., Portland, OR) was used to validate MS/MS based peptide and protein identifications. Peptide identifications were accepted if they could be established at greater than 95.0% probability by the Scaffold Local FDR algorithm. Protein identifications were accepted if they could be established at greater than 99.0% probability and contained at least 2 identified peptides. Protein probabilities were assigned by the Protein Prophet algorithm (Nesvizhskii, Al et al Anal. Chem. 2003;75(17):4646-58). Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony. Proteins sharing significant peptide evidence were grouped into clusters. Proteins were annotated for functional information with GO terms from NCBI (downloaded Sep 2, 2015). (Ashburner, M et al Nat. Genet. 2000;25(1):25-9).Functional information for each protein is from NCBI. P-values were by T-test. Statistical significance was adjusted for false discovery rate by Hochberg-Benjamini.The RNAseq data is unpublished. We used kidney, liver and gonadal white adipose tissue of male fatty Zucker and congenic animals. We have performed quantitative PCR to confirm the RNAseq data, but have not completed analysis. Sequence information was from the RNAseq data where both our Zucker and our congenic strain were compared with the Brown Norway strain that is the reference sequence for rats. The Brown Norway strain used for our congenic is not identical to the reference sequence Brown Norway.Specific Goals/objectives1. Repeat the proteomics analysis with urine samples from 9 week old females.2. Repeat proteomics analysis for samples infected with the most common bacteria, so we can have adequate statistical power to determine if there are bacterial specific effects. These are: (1) Lactobacillus, (2) E. coli, and (3) Staphylococcus.3. Repeat proteomics using urine samples from lean Zucker rats to identify effects of obesity.4. Use Western blots to confirm that proteins identified as differential by proteomics are differential and of intact functional size at 9, 15 and 28 weeks of age.5. Perform enzymatic assays to confirm that urinary lactoperoxidase is active.6. Perform histology to assess kidney damage.7. Perform quantitative PCR to determine if mRNA levels are also differential for proteins that are differential in urine.ReferencesCorby, P. M. A., W. A. Bretz, T. C. Hart, M. M. Filho, B. Oliveira and M. Vanyukov (2005). "Mutans streptococci in preschool twins." Archives of Oral Biology 50(3): 347-351.Malaty, H. M., L. Engstrand, N. L. Pedersen and D. Y. Graham (1994). "Helicobacter pylori Infection: Genetic and Environmental Influences: A Study of Twins." Annals of Internal Medicine 120(12): 982-986.
Project Methods
Proteomics analysis will be performed as before. The proteomics was performed by the UC Davis Proteomics core. Analysis by Scaffold was preformed by Dr. Warden. Western blots will be performed as described in previous publications of Dr. Warden. Quantitation will be by non-radioactive chemiluminescence methods.Commercial spectrophotometric kits will be purchased to quantitate lactoperoxidase activity.Histology will be preformed by Steve Griffey of the UC Davis Comparative Pathology lab, using methods that have already been published for previous studies of the fatty Zucker and congenic rats.Quantitative PCR will be performed using UC Davis Genome Center cores.Analysis and writing papers will be performed by Dr Warden. All animal tissues used in this project were collected for another project with an approved animal care protocolStatistical analyses will use the UC Davis licensed JMPPro. Minimum sample sizes will be N=6 and preferred sample size will be N=8 to match existing data.