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| Name | Class |
|---|---|
| University of South Florida | OTHER |
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The purpose of this study is to find out if there is a connection between the naturally occurring bacteria in our bodies and the progression of Huntington disease. The investigators are trying to determine if patients who are diagnosed with adult-onset HD and who exhibit a rapid rate of disease progression have unique populations of bacteria in their gut as compared to patients with slower progression.
Two of the most common non-neurological features of Huntington disease (HD) are progressive weight loss and metabolic dysfunction. However, a small proportion of HD patients are pathologically overweight, despite having similar CAG repeat lengths as pathologically underweight patients. The investigators hypothesize this spectrum of weight abnormalities may be caused by HD-related metabolic dysfunction.
Pathological weight loss is recapitulated in transgenic HD model mice expressing fragments of human huntingtin (HTT), either transgenically3,4 or knocked-in to a portion of the mouse HD homolog (Hdh) gene5. Conversely, pathological weight gain is recapitulated in transgenic HD model mice expressing full-length human HTT either along with the full complement of Hdh6,7 or in Hdh-null backgrounds8,9.
In Hdh-null background transgenic HD model mice, which are pathologically overweight, circadian feeding is disrupted, despite maintenance of naturally nocturnal circadian activity. Interestingly, circadian feeding patterns are restored by suppression of brain HTT (unpublished Dr. Amber Southwell), suggesting that HTT plays a role in circadian feeding regulation. Furthermore, when circadian feeding patterns are artificially restored with scheduled feeding, striatal HTT is temporarily suppressed, while metabolic markers and body weight are normalized (unpublished Dr. Amber Southwell). Together, this demonstrates that HTT is involved in gut-brain feedback, but since HTT suppression during scheduled feedings is transient, while metabolic effects are lasting, HTT is likely not the master regulator of this feedback loop. Instead, the gut microbiome may influence this pathway, possibly contributing to the onset and/or progression of HD.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | Patients who are not diagnosed with HD | ||
| Experimental Group 1 | Underweight HD patients | ||
| Experimental Group 2 | Overweight HD patients |
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| Measure | Description | Time Frame |
|---|---|---|
| To quantify relative abundance of entire gut microbiomes in people using Metagenomic analysis | Metagenomic analysis via 16S ribosomal RNA (rRNA) gene sequencing will be performed on HD and control stool samples to identify HD-associated changes in microbe abundance at the genus level. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| To quantify relative abundance of candidate microbes in HD and control gut using quantitative PCR. | Using primers specific for microbes responsible for microbiota-derived metabolites that are altered in HD plasma as well as candidate microbes identified through aim 1, quantitative PCR (qPCR) will be used for quantifying relative abundance within the gut at the species level. | 5 years |
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Inclusion Criteria:
Inclusion criteria for the control group include:
Inclusion criteria for experimental group 1 include:
Inclusion criteria for experimental group 2 include:
Exclusion Criteria:
CAG repeat length ≥ 60 to exclude participants with juvenile onset HD.
CAG repeat length 36 - 39 to exclude participants with reduced penetrance. As this is a pilot study, we are primarily interested in participants with typical HD characteristics.
UHDRS Functional Capacity stage ≥ 4 to exclude late-stage HD patients who may be institutionalized and receive nutrition through a feeding tube.
Use of any of the following drugs within the last 6 months:
Use of topical antibiotics or topical steroids within the last 7 days
History of active, uncontrolled gastrointestinal disorders or diseases, including:
Acute illness with or without fever at time of sample collection
Positive for HIV, hepatitis B, or hepatitis C
Confirmed or suspected immunodeficient condition/state
Major surgery of the GI tract, excluding cholecystectomy and appendectomy
Unstable dietary history within the past month, such as elimination or significant increase of a major food group in the diet
Recent history of chronic, excessive alcohol consumption
Travel outside of the United States within the last 3 months
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This study aims to recruit approximately 36 adult participants: 12 for the control group (who do not have the HD gene mutation), 12 for experimental group 1 (underweight HD patients), and 12 for experimental group 2 (overweight HD patients). There may be some variation in participant number depending on recruitment success. Experimental group 1 will target underweight HD patients and experimental group 2 will target normal to overweight HD patients.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Amoy Fraser, PhD, CCRP, PMP | Contact | 4072668742 | amoy.fraser@ucf.edu |
| Name | Affiliation | Role |
|---|---|---|
| Amber Southwell, PhD | University of Central Florida | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Central Florida | Recruiting | Orlando | Florida | 32816 | United States |
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| ID | Term |
|---|---|
| D006816 | Huntington Disease |
| ID | Term |
|---|---|
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| D003704 | Dementia |
| D002819 | Chorea |
| D020820 | Dyskinesias |
| D009069 | Movement Disorders |
| D020271 | Heredodegenerative Disorders, Nervous System |
| D019636 | Neurodegenerative Diseases |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |