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BSCD Summer Undergraduate Research Fellowship in Pathophysiology, Biology, and Bioenergetics of Renal Diseases - 2022

Summer Undergraduate Research Fellowship in Pathophysiology, Biology, and Bioenergetics of Renal Diseases

Please bear in mind that while BSCD Summer Fellowships are currently scheduled to proceed these opportunities may have to be modified or cancelled if the situation warrants. 

We are launching an interdisciplinary summer research program in Pathophysiology, Biology, and Bioenergetics of Renal Diseases. We will be sponsoring six undergraduate fellows to take part in three projects (two students per project and the projects are described below). The Fellowship covers a $5000 stipend for the summer research period.

Summer Research Program Description:
This proposal is a Department of Medicine and Radiology, Nephrology and Physics Section multi-investigator effort of three federally funded research labs who work closely in related fields of interest. With a focus on two common kidney disorders, autosomal dominant polycystic kidney disease (ADPKD) (Drs Chapman, Chen and Muir), kidney radiomics and texture analysis (Drs. Armato, Chapman and Kremer) and nephrolithiasis (Drs Coe, Worcester, Hassan, Ko, Zisman and Prochaska), students will learn about renal regulation of urinary citrate and oxalate excretion, metabolomic features of bioenergetics regulation of the kidney, magnetic resonance imaging and textural changes in the setting of kidney disease, mechanisms of urinary acidification and the impact of the microbiome on a number of these measurements. These programs will provide students an introduction to the field of renal physiology, medical physics and cell biology in the context of common kidney disorders. Our curriculum will include weekly meetings with all students present together, with the expectation of a presentation of their ongoing work with their faculty mentors. This seminar will be led by the Chief of Nephrology, Dr. Arlene Chapman, and Dr. Worcester. Each student will briefly discuss the overall progress of his/her particular lab as well present his/her own summer project. This will be followed by an open discussion where all of the students can discuss the presented data and give questions and answers. This program will be more of a small group tutorial with the opportunity for group mentoring. This will give the students the opportunity to present their work to each other on weekly basis. Additional programmatic ideas for this cohort include the following: 1) Participation in some of the summer TREKS Nephrology Modules, under the direction of Dr. Ben Ko, which is held for one week each summer with students from throughout North America participating. 2) Attending weekly conferences within the section of nephrology typically held on Thursdays and Fridays. 3) Attending individual lab meetings held weekly or twice weekly by each of the research programs outlined in the application and will also include daily lab work when lab meetings are not being held. 4). Participate in the summer principals of medical physics and radiomics (Drs. Armato and Kremer) 5) shadowing expert clinicians in their weekly clinics on Tuesdays and Wednesdays (Drs. Zisman, Prochaska, and Chapman) to observe patients with underlying kidney problems associated with the research studies in their respective labs. 6) Observation of human subject research on the Clinical Research Center which is a research-only inpatient and outpatient ward studying detailed phenotypes of ADPKD and nephrolithiasis study participants. This is expected to be a wonderful opportunity for this summer cohort. Overall, it is expected that the students in this program will be deeply immersed in their projects during the summer and as time permits throughout the rest of the academic year.

Requirements:
1. Required skills:
- Excellent written, verbal communications and analytical skills
- Ability to work as a team member
- Ability to manage time efficiently, multi-task and prioritize
- Self-directed and able to work independently with faculty support
- Proficient computer skills, including Microsoft Office Suite

2. Required Materials
- Resume or CV
- Cover Letter/Statement of Interest

Application Expiration Date:
Applications must be submitted by April 8, 2022.

Interviews:
Interviews may be requested.

Please Note: If you are applying to multiple BSCD Fellowship Grants, please fill out the following BSCD Preference Form - https://careeradvancement.wufoo.com/forms/bscd-research-2022

Description of Projects:
Project # 1:
Title: Targeting Amino Acid Metabolic Crossroads in ADPKD
Mentors: Arlene Chapman, MD, Alex Muir, PhD, Peili Chen, PhD, Departments of Medicine and Molecular Biology. Drs. Chapman, Muir and Chen will be available and committed to fully mentor the students, including guidance about overall career development.

Project description
Autosomal dominant polycystic kidney disease (ADPKD), the most common hereditary kidney disease, is caused by mutations in the PKD1 or PKD2 gene which encode polycystin-1 and polycystin-2 transmembrane heterodimer proteins. Multiple signaling pathways are affected by mutated polycystin1 and polycystin 2, including primary ciliary signaling and Ca2+/cAMP cascade that contribute to the abnormal proliferation of epithelial cells and cyst formation in ADPKD. Initiated in early childhood, progression of renal cysts gradually damages kidney structure and function, eventually leading to renal failure typically in the 5 to 6th decade of life. Despite promising results from recent studies and trials, therapies that cure or slow the progression of disease are limited. The slow progressive nature of ADPKD makes it difficult to diagnose and treat at early stage as the estimated glomerular filtration rate (eGFR) is normal for decades. Height corrected total kidney volume (htTKV), an accurate and reproducible FDA approved imaging prognostic biomarker can increase several-fold prior to loss of kidney function and represents cyst burden and epithelial proliferation. However, measurement cyst burden through HtTKV using magnetic resonance imaging (MRI) is only useful in the setting of macroscopic cysts which have been developing for decades. Candidate biomarkers have been evaluated in urine and plasma from ADPKD patients including neutrophil gelatinase-associated lipocalin (NGAL), monocyte chemotactic protein (MCP)1 and CD14, as well as non-targetted profiling of urinary proteome and miRNAs however their contribution to understanding the progression of ADPKD or strength as a biomarker are not additive to htTKV. 

Increasing understanding of the signaling and pathological derangements characteristic of ADPKD has revealed marked similarities to those of cancers at the cellular and molecular level. ADPKD shares most of cancer hallmarks including sustained proliferative signaling, evasion of growth suppressors, induction of angiogenesis, deregulation of cellular energetics, tumor promoting inflammation, genomic instability and mutation and abnormally reprogrammed metabolism. Metabolic reprogramming provides energy and substrates that is necessary to support tumor growth, survival, immune evasion, and metastasis. Recent studies in PKD1 cells demonstrate a Warburg-like effect as observed in cancer cells, which when inhibited results in inhibited cell proliferation and decreased cyst growth and TKV. This metabolic change is also observed in cystic epithelia in ADPKD patient kidneys, indicating altered bioenergetics and adaptation supporting a proliferative cystic phenotype in ADPKD.

We have demonstrated comprehensive abnormalities in multiple amino acid concentrations and metabolic pathways in our studies in urine and plasma in ADPKD patients with normal kidney function, particularly the histidine pathway. Furthermore, levels of histidine metabolites correlate with cyst burden (htTKV) and kidney function (eGFR). In ADPKD cyst fluids, concentrations of all amino acids, except for Glutamine and Proline, are elevated compared to those in plasma and urine, that accumulation amino on apical of epithelia Pharmacologically histidine metabolism at histidine decarboxylase or histidine ammino-lysase affects cystic cell proliferation but not healthy non- cystic human epithelia, indicating a possible therapeutic role in the treatment of this disorder.

Through the Summer Undergraduate Research Fellowship program, iPSCs (pluripotent stem cells) have been derived from urinary epithelial cells from PKD1 and PKD2 patients. We now have been able to differentiate these iPSCs to human kidney organoids and human kidney tubuloids. These models will be used to address the differential impact of amino acid bioavailability, exposure to hypoxia and hypertonicity, features to the microenvironment in the kidney.

Specific Aims
To determine the effects of loss of the PKD1 or PKD2 genes on amino acid metabolism, transport and flux.

Approach and Methods
1. To investigate  amino acid homeostasis by evaluation of histidine transporters in small intestinal epithelia, hepatocyte and renal cystic (PKD1 or PKD2 mutations) compared to normal non-cystic epithelia. Expression and function of histidine transporters will be studied in tissues and specific cell types including resident macrophages, fibroblasts, cystic and non-cystic epithelial cells harvested from genetically modified mice using immunostaining and affinity assays.
2. To characterize histidine and its metabolic flux into different pathways in PKD1 and PKD2 knockdown cells established by siRNA using stable isotopic 13C-histidine.
3. To define difference in energy production from histidine in PKD1/PKD2 cells compared to normal non-cystic controls under controlled environmental conditions including cell starvation and hypoxia.
4. To utilize human iPSCs derived from urinary epithelial cells to develop kidney organoids and tubuloids to test differences in amino acid bioavailability, hypoxia and hypertonicity as critical regulators of cyst proliferation and growth.

Project # 2: Dr. Sam Armato (Department of Medical Physics), Dr. Arlene Chapman (Section of Nephrology) and Linnea Kremer, PhD Candidate (Department of Medical Physics)
Title: Investigation of MRI pre-processing and the effect on radiomic features and classification performance of PKD1 and PKD2 ADPKD patients
Mentors: Linnea Kremer, Sam Armato, Arlene Chapman

Project Description
Currently, height-corrected total kidney volume (htTKV) is an FDA approved biomarker for monitoring autosomal dominant polycystic kidney disease (ADPKD) progression, using height-corrected total kidney volume, age and gender as a measure of disease severity. Although this method has been crucial monitoring ADPKD patients, htTKV alone does not capture quantifiable data such as non-cystic kidney tissue which is known to be damaged by the adjacent cysts. Radiomics is an emerging field of translating medical images into quantitative, mineable data using image features for underlying biological information. However, the field of radiomics lacks a standardized approach of analyzing medical images across diseases and imaging modalities. Furthermore, some contrasts in MRI have arbitrary signal intensities and benefit from image normalization when extracting radiomic texture features for both inter- and intra-patient comparisons. Radiomics pre-processing is a mandatory step in analyzing and calculating texture features from medical images. There are different pre-processing steps (image normalization, resampling voxel size, discretization of gray-level histogram), but the effect of these parameters on downstream classification has not been evaluated thoroughly. These questions are related to larger research using MRI radiomics analysis for diagnosis, prognosis, and assessment of disease progression in ADPKD at the University of Chicago.

This work will further texture-based imaging biomarkers for a deeper understanding of differences in kidney tissues (non-cystic tissues adjacent to kidney cysts) between PKD1 and PKD2 ADPKD genotypes. Currently, there is limited research on texture-based imaging biomarkers of ADPKD MRI. Previous research has shown image texture to predict kidney function decline. In addition, combining image features and clinical information for modeling of ADPKD disease had a stronger predictive performance than image or clinical modeling alone. PKD2 patients overall demonstrate milder kidney disease, with 40% fewer cysts, delayed onset of hypertension, and longer patient and kidney survival. PKD1 patients reach end-stage kidney disease (ESKD) about two decades earlier than PKD2. Therefore, investigating image features to classify ADPKD genotype (PKD1 vs. PKD2) is of much interest to better understand biologic differences in genotype expression in kidney MRI.

A recent pilot study showed a combination of texture features of the non-cystic parenchyma successfully differentiated between PKD1 and PKD2 ADPKD patients using a linear discriminant analysis (LDA) classifier. In addition, our work showed that of the 93 features calculated, only 17 were reliable across two different reference-tissue using z-score normalization. This work will be continued on a larger dataset using the HALT-PKD study of 558 hypertensive ADPKD patients to compare PKD1 and PKD2 non-cystic parenchyma. Normalization and pre-processing of the images are necessary for our radiomics analysis, and different parameters will be analyzed to standardize a radiomics pipeline of ADPKD MRI. In addition to this research opportunity, the Committee on Medical Physics will provide a summer course on the physics of medical imaging.

Specific Aims
1.          Identify stable radiomic texture features that may classify between PKD1 and PKD2 and relate that to genotype expression.
2.          Quantify the differences in performance of MRI pre-processing methods in PKD1 and PKD2 classification.

Approach and Methods
1.          Calculate radiomic texture features of the non-cystic parenchyma of PKD1 and PKD2 patients using different pre-processing parameters using an open-source software, Pyradiomics.
2.          Use a classifier to differentiate between PKD1 and PKD2 non-cystic radiomic features across different pre-processing methods.
3.          Compare the performance of the classifier across pre-processing methods using statistical analysis.

Skills learned
Fundamental principles of MRI physics, coding, data/statistical analysis, MRI characteristics of ADPKD, radiogenomics

Project # 3:
Title: Diet Acid-Base Balance in Patients with Calcium Kidney Stone Disease
Mentors: Fredric Coe, MD, Elaine Worcester, MD, Ben Ko, MD, Anna Zisman, MD, Megan Prochaska, MD. Department of Medicine. Drs. Coe, Worcester, Ko, Zisman and Prochaska will be available and committed to fully mentor the students, including guidance about overall career development.

Project Description
Diet sodium and acid intake strongly affect mineral metabolism and risk for kidney stone formation. Acid loads raise urine calcium losses, saturating urine with stone forming calcium salts, and foster bone mineral loss. The effects are most severe in those people with inherited hypercalciuria, a polygenic trait that makes calcium balance and urine calcium loss abnormally responsive to both salt and acid load. We have found that patients who make calcium phosphate stones, and women who make calcium oxalate stones, have abnormalities of acid-base status, compared to same-sex normal subjects. We have also discovered differences in acid-base handling that involve both gastrointestinal system and kidney in normal men and women. Funded by an NIH Program Project grant (Worcester, PI) the group presently studies effects of varying diet sodium and alkali supplementation on renal calcium handling in the University of Chicago Clinical Research Center.

A full understanding of acid-base balance requires a complete accounting for all renal acid excretion, which is not obtainable from standard urine measurements. In order to better understand the abnormalities we have seen in various types of stone formers, as well as the differences in acid-base handling between normal men and women, we have added novel measurements of urine anion excretion that are the effectors of acid production from diet. We are studying these anions in response to altered diet sodium and alkali, in both types of calcium stone formers and normal subjects. To complement our new measurements, we plan metabolomic measurements of urine anion patterns in collaboration with Dr. Arlene Chapman’s group.

Our previous work has shown differences in segmental renal tubule handling of sodium and calcium between normal subjects and stone formers, which foster loss of calcium in the urine. As there is no appropriate animal model of human stone formation, it has been difficult to examine the possible differences in renal tubule transporter abundance or function that may create the altered mineral handling. Dr. Ko has recently applied the techniques of urine exosome analysis to characterize how nutrient ingestion alters renal transporters, by measuring the levels of transporters of interest in urine exosomes during nutrient challenges.

Specific Aims
1. Identify and quantify the differences in renal tubule sodium and calcium handling between calcium stone formers and normal subjects under conditions of high and low salt intake, with or without alkali.
2. Quantify the differences in renal tubule transporter abundance between calcium stone formers and normals under conditions of high and low salt intake, with or without alkali.
3. Quantify the differences in acid-base handling between normal subjects and calcium stone formers using standard

Approach and Methods
1. Calculate proximal and distal nephron sodium and calcium reabsorption using endogenous lithium clearance in normal men and women and in men and women with calcium oxalate or calcium phosphate stones on each of 4 diets. Diets will be low sodium or high sodium, with 20 meq potassium citrate daily or placebo, in random order.
2. Measure urine exosome levels of NHE3, SLC26A6, claudin 2, NKCC2, Claudin 14, NCC, TRPV5 and prostasin in patients in aim 1.
3. Measure urine markers of acid and alkali balance and urine organic anions by titration, in stone formers and normal subjects, and calculate acid balance.

Names, qualifications and delineation of roles of proposal leaders:
1. Arlene Chapman, MD, Professor of Medicine, Chief of Nephrology
Directs the ADPKD center of excellence, with NIH funding for over 25 years evaluating ADPKD. She has over 2200 ADPKD patients who participate in her program and students will learn about the clinical manifestations of the disease and apply them to the proposed laboratory experiments. She will lead the conceptual development of projects with the investigative team along where the students will participate.

2. Peili Chen, PhD, Research Associate: Cell and Molecular biologist, working with genetic murine and cultured cell models of ADPKD, experienced in cell metabolism and mitochondrial homeostasis in hypoxic and normoxic conditions, as well as the development of IPSCs and kidney organoids and tubuloids and will mentor studies in cell proliferation, bioenergetics, metabolomics, tissue harvesting, and amino acid transporter immunohistochemistry, HPLC analyses, pluripotent stem cell, human kidney organoid and tubuloid model development.

3. Alex Muir PhD, Ben May Department of Cancer Research, trained investigator in Krebs cycle intermediates, mitochondrial function, bioenergetics and amino acid transport and cellular uptake, will be responsible for providing mentorship in nutrient studies, histidine uptake, krebs cycle intermediates as they relate to reduction in polycystin levels.

4. John Alverdy, MD, Sarah and Harold Lincoln Thompson Professor of Surgery and Executive Vice-Chair of the department of surgery at UOC. Dr. Alverdy is the director of the Center for Surgical Infection Research at UOC that studies the microbial pathogenesis of infections that develop following surgery including sepsis, wound infection, and anastomotic leak. He has been funded by the NIH for this work since 1999. He will provide mentorship in studies related to the in vivo administration of peptide-loaded hydrogel nanoparticles.

5. Fred Coe, MD, Professor of Medicine and Physiology. The founder of the Kidney Stone Program at UCM, with over 40 years of continuous NIH funding for the study of the pathophysiology of kidney stones. He will mentor the students in the performance and analysis of studies of acid-base handling in normal subjects and kidney stone patients, including laboratory measurements, data management, analysis and the implications for altered physiology.

6. Elaine Worcester, MD, Professor of Medicine, is an NIH-funded clinical investigator leading studies of altered renal mineral handling in patients with kidney stones and normal subjects and will mentor the students in the design, performance and analysis of human studies, and the ethical implications of human research.

7. Ben Ko, MD, Associate Professor of Medicine, has expertise in isolation of urine exosomes and their use to understand alterations of renal tubule specific transport activity in humans under varying dietary conditions. He will provide mentorship in the relevant laboratory techniques and their interpretation as part of studies of human renal mineral handling in health and disease.

8. Anna Zisman, MD, Associate Professor of Medicine, is a funded investigator with active clinical and research interests in kidney stones and chronic renal disease. She has been recognized for her excellence in teaching and clinical care with several awards, and is the director of the Nephrology Fellowship Program

9. Dr. Sam Armato, Professor of Radiology, Director of the Medical Physics T32 program at University of Chicago. Professor Armato is a leading figure and authority regarding tissue radiomics and texture analysis. This project in particular will focus on the kidney and determining predictors of disease progression and genetic differences.

10. Linnea Kremer pre-doctoral candidate. Ms. Kremer is currently the lead investigator in the texture analysis project in ADPKD. She is a KUH Forward fellow as part of the UO1/TL2 training program at the University of Chicago. She has expertise and experience in kidney mapping, feature definition and determining differentiating features of patients with PKD1 and PKD2 mutations.