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The Effect of Concord Grape Polyphenol-soy Protein Isolate Complex (GP-SPI) on Gut Microbiota

The Effect of Concord Grape Polyphenol-soy Protein Isolate Complex (GP-SPI) on Gut Microbiota

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04018066
Enrollment
34
Registered
2019-07-12
Start date
2019-06-28
Completion date
2019-12-20
Last updated
2026-06-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Mechanisms, Defense

Keywords

gut microbiome, metabolome, dietary polyphenols, grape, nutrition

Brief summary

The overall purpose of this study is to evaluate the effect of nutritional supplementation with a well-characterized preparation of Concord grape polyphenol-soy protein isolate (GP-SPI) on the composition of the gut microbiota.

Detailed description

The proposed study will investigate how short-term supplementation with GP-SPI may modify the gut microbial community in healthy participants while monitoring liver and kidney function/health. Significance: Biochemical properties of the GP-SPI food ingredient are well-documented and GP-SPI and SPI supplements have been tested extensively in mice. The proposed study is a logical follow up to animal studies, which showed that compared to control mice fed a high-fat diet (HFD) supplemented with SPI alone, mice fed an isocaloric HFD supplemented with GP-SPI exhibited greater resistance to weight gain, adiposity, and glucose intolerance. These effects were accompanied by changes in murine gut microbiota composition, including increased abundance of the microbe Akkermansia muciniphila, associated with metabolic resilience. Similar gut microbiota changes were observed in lean mice fed low-fat diet (LFD) supplemented with GP-SPI. The B-type proanthocyanidin (PAC) class of polyphenols contained in grape berries, especially skins and seeds, have been associated with health benefits; however, PACs are poorly absorbed and reach high concentration only in the colon raising questions about mechanism(s) of action. Prior studies showed that dietary PACs from grape and cranberry alter the gut microbiota in association with metabolic resilience. PACs are also biotransformed by gut bacteria to yield microbial metabolites (MMs) that may contribute to health benefits. Research Design and Methods Prospective participants will be recruited through flyers posted locally on Rutgers University campuses and sent to university email lists. Interested persons will be screened according to inclusion and exclusion criteria. Enrolled subjects will begin the 17-day study. Study Procedures * Thirty subjects will be enrolled. * Food List: Participants will maintain their usual diet except for a provided list of PAC-rich foods that they will be asked to abstain from for a 5-day wash-out period and during the 10-day intervention. The Food List is provided below. The goal is to have GP-SPI as the main/only source of PAC in the diet for the study period. * Wash-out and SPI (Day -5 through -1): On day -5 (pre-baseline) before any supplementation, each subject will collect their fecal and urine sample. Each subject will then consume SPI twice a day (provided as pre-weighed packets of 20 g) during a 5-day wash-out period (days -5, -4, -3, -2, and -1). Subjects will be instructed to mix each packet of SPI in 250 mL of water or in a smoothie (recipe example below will be provided) using allowed foods as detailed in instructions and consume once in the morning before breakfast and once in the evening before dinner. * Day 0: On the following day each subject will collect their baseline (day 0) stool and urine samples. They will have a blood sample drawn by a study nurse. Blood will be used for CMP test and prepared serum will be aliquoted and stored at -80 °C until processing for marker analysis and metabolomics. Analysis of day 0 samples should help isolate any effects due to SPI alone from subsequent samples collected during GP-SPI intervention. On day 0 subjects will drop off urine and stool samples at IFNH and collect GP-SPI packets. On Day 0 participants will also take a break from consuming SPI and will start GP-SPI supplementation on morning of Day 1. * GP-SPI (Day 1 - 10): Each subject will receive twenty pre-weighed 20 g packets of GP-SPI. On day 1 subjects will be instructed to mix each packet of GP-SPI in 250 mL of water or in smoothie (recipe example will be provided, please see below) using allowed foods as detailed in instructions and consume the GP-SPI mix once in the morning before breakfast and once in the evening before dinner for 10 consecutive days. * Subjects will be provided with a personal blender for smoothie preparation (value \ $25) that they can keep. * Digital food diary: Participants will be asked to take photos of all their food and drink (except water) including the study supplements with their personal mobile computing device (e.g. smart phone, iPad, or similar). Participants will be required to download the free mobile app WhatsApp to send photos with a brief description of the food items. Photos and food description may also be sent to an email address created for this study (food4microbes@sebs.rutgers.edu). The food diary must be kept over the 5-day SPI and wash-out period, day 0 (break day), the 10-day GP-SPI intervention period, and up until the final blood draw on day 11 (17 days total). * Stool samples: Subjects will be provided with tubes containing 95% ethanol and/or tubes containing 50% glycerol (50% water) along with paper toilet accessories for easy self-collection of fecal samples; each participant will be instructed on use of stool collection materials. Fecal samples will be aliquoted and stored at -80 °C until extraction. Collection of fecal samples in 50% glycerol and immediate freezing will allow culturing of gut bacteria for in vitro experiments. * Bristol stool scale form: Subjects will be provided with the Bristol stool scale (BSS) form and asked to complete it for stool samples they collect on days -5, 0, 2, 4, 6, 8, and 10 of the study. Stool consistency has been shown to strongly correlate with gut microbiota richness and composition, enterotypes, and bacterial growth rates. Subjects that report at least one bowel movement per day will be recruited for ease of compliance with study protocol. In addition, the BSS form contains an extra column to capture information about menstruation during time of sample collections as this variable could impact metabolite or bacteria profiles . * Urine samples: Subjects will be provided with sterile collection containers for collection of urine samples on days 2, 4, 6, 8, 10 and asked to keep samples in 4 °C fridge until transport to the laboratory to maintain metabolite stability. Subjects will be asked to bring their samples to the laboratory as soon as possible, within 2-3 days of collection, for processing. Urine samples will be aliquoted and stored at -80 °C until processing for metabolomics studies. * Blood sample: On day 11 subjects will have a final blood sample drawn. Blood will be used for CMP test and prepared serum will be aliquoted and stored at -80 °C until processing for marker analysis and metabolomics. Samples will be used for a longitudinal, microbiome-wide association study (MWAS) to identify gut bacteria species/strains that are positively or negatively associated with GP-SPI supplementation. Metabolomics analysis will be performed on collected urine, fecal, and blood samples to identify/quantify known and unknown metabolites. Shotgun metagenomic sequencing will be performed on fecal samples to generate high quality draft genomes for species/strain level identification. These dynamic data sets will serve as input for the MWAS to correlate increasing/decreasing levels of gut bacterial species/strains to increasing/decreasing metabolites. These bacteria-metabolite associations will then be used to infer cause-effect relationships that can be further tested in vitro and in mouse models. We expect that successful completion of these studies will contribute to mechanistic explanations for how dietary polyphenols such as grape PACs alter the gut microbiota and resulting MM to promote metabolic health.

Interventions

DIETARY_SUPPLEMENTGP-SPI

grape polyphenol-soy protein isolate complex (GP-SPI)

Sponsors

Rutgers, The State University of New Jersey
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Intervention model description

Longitudinal study

Eligibility

Sex/Gender
ALL
Age
18 Years to 35 Years
Healthy volunteers
Yes

Inclusion criteria

1. Healthy as assessed based on a medical evaluation including a comprehensive metabolic panel (CMP) test with values in normal range, medical history and not presently taking any medication 2. Adults between 18 and 35 years 3. BMI 18.5 -29.9 4. Have at least one bowel movement per day 5. Capable of giving written informed consent, which includes compliance with the requirements and restrictions listed in the consent form.

Exclusion criteria

1. History/current cancer, rheumatoid arthritis immunologic, renal, hepatic, endocrine, neurologic or heart disease, hypertension, diabetes, GI dysfunction, or CMP test results showing values outside of normal range. 2. Cannot provide written informed consent. 3. Exposure to any experimental agent or procedure within 30 days of study. 4. Pregnancy or breast-feeding 5. Taking dietary supplements 6. Current smoker or have smoked within previous 6 months 7. Taking medications regularly (prescription, over the counter, supplements etc.) 8. Treated with antibiotics during the past 6 months 9. Have an allergy to soy or grapes

Design outcomes

Primary

MeasureTime frameDescription
Gut Microbiota Composition16S rRNA amplicon sequencing will be performed on samples collected at baseline (before intervention, day -5), after 5 days of SPI supplementation (day 0), and after 10 days of GP-SPI supplementation (day 10). Total time frame is 17 days.Evaluate the effect of nutritional supplementation with GP-SPI on gut microbiota composition by 16S rRNA amplicon sequencing and analysis

Secondary

MeasureTime frameDescription
Comprehensive Metabolic Panel (CMP) Blood Test (ALP, AST, ALT)Samples will be analyzed within one week of blood collectionEvaluate the effect of GP-SPI on kidney and liver health/function via CMP blood tests ALP, AST, ALT
Comprehensive Metabolic Panel (CMP) Blood Test (Glucose, Blood Urea Nitrogen, Creatine, Calcium, Bilirubin Total)Samples will be analyzed within one week of blood collectionEvaluate the effect of GP-SPI on kidney and liver health/function via CMP blood tests Measure glucose, blood urea nitrogen, creatine, calcium, bilirubin total
Comprehensive Metabolic Panel Blood Test (Anion Gap)Samples will be analyzed within one week of blood collectionThe Anion gap was measured for all 27 participants. The anion gap is a calculation of the difference between the amounts of some negatively charged electrolytes (such as chloride and bicarbonate) and the amount of positively charged electrolytes (such as sodium) in blood. The anion gap reveals whether blood has an imbalance of electrolytes, i.e., blood is too acidic or too basic.
Comprehensive Metabolic Panel (CMP) Blood Test (Sodium, Potassium, Chloride, Total Carbon Dioxide)Samples will be analyzed within one week of blood collectionFor all 27 participants CMP measured four electrolytes: sodium, potassium, chloride, total carbon dioxide. Electrolytes are minerals that carry an electric charge when they are dissolved in a liquid. These electrolytes in blood control nerve and muscle function and maintain the acid-base balance (pH balance) of blood and water balance. Sodium: Most sodium comes from food, and kidneys help regulate body's sodium levels. Potassium: Potassium comes from food and is present in all tissues of body. Bicarbonate: Bicarbonate indicates the amount of carbon dioxide (CO₂) in blood. Chloride: Chloride functions along with sodium, potassium and bicarbonate to control many processes in the body.
Comprehensive Metabolic Panel (CMP) Blood Test (Protein, Albumin)Samples will be analyzed within one week of blood collectionEvaluate the effect of GP-SPI on kidney and liver health/function via CMP blood tests

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORDiana Roopchand, PhD

Rutgers University

Participant flow

Recruitment details

34 participants were enrolled in the study based on inclusion/exclusion criteria. 4 participants withdrawn from the study, due to the following reasons: 3 started taking medications and 1 had scheduling conflicts. Of the remaining 30 participants that completed the study, 3 were excluded due to protocol deviations.

Participants by arm

ArmCount
GP-SPI Intervention
Each participant consumed 20 g of soy protein isolate (SPI) twice per day for 5 days. After a one day break, participants then consumed 20 g of GP-SPI taken twice per day for 10 days. During the entire 17 day study period, participants abstained from an extensive list of PAC-rich foods. GP-SPI: grape polyphenol-soy protein isolate complex (GP-SPI)
27
Total27

Baseline characteristics

CharacteristicGP-SPI Intervention
Age, Customized
Age
21.7 years
STANDARD_DEVIATION 3.5
Alanine transaminase16.89 IU/L
STANDARD_DEVIATION 7.44
Albumin4.83 g/dL
STANDARD_DEVIATION 0.34
Alkaline phosphatase68.56 IU/L
STANDARD_DEVIATION 15.19
Alkaline transaminase21.26 IU/L
STANDARD_DEVIATION 5.4
Anion gap13.26 meq/L
STANDARD_DEVIATION 2.19
Bilirubin total0.54 mg/dL
STANDARD_DEVIATION 0.26
Blood urea nitrogen12.81 mg/dL
STANDARD_DEVIATION 4.3
Calcium9.82 mg/dL
STANDARD_DEVIATION 0.38
Chloride103.4 mmol/L
STANDARD_DEVIATION 2.8
Creatine0.76 mg/dL
STANDARD_DEVIATION 0.19
Ethnicity (NIH/OMB)
Hispanic or Latino
4 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
22 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
1 Participants
Glucose88.78 mg/dL
STANDARD_DEVIATION 6.25
Potassium4.83 mmol/L
STANDARD_DEVIATION 0.34
Protein7.38 g/dL
STANDARD_DEVIATION 0.37
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
15 Participants
Race (NIH/OMB)
Black or African American
3 Participants
Race (NIH/OMB)
More than one race
1 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
3 Participants
Race (NIH/OMB)
White
5 Participants
Region of Enrollment
United States
27 participants
Sex: Female, Male
Female
16 Participants
Sex: Female, Male
Male
11 Participants
Sodium142.7 mmol/L
STANDARD_DEVIATION 2.28
Total carbon dioxide26.04 mmol/L
STANDARD_DEVIATION 1.72

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 34
other
Total, other adverse events
0 / 34
serious
Total, serious adverse events
0 / 34

Outcome results

Primary

Gut Microbiota Composition

Evaluate the effect of nutritional supplementation with GP-SPI on gut microbiota composition by 16S rRNA amplicon sequencing and analysis

Time frame: 16S rRNA amplicon sequencing will be performed on samples collected at baseline (before intervention, day -5), after 5 days of SPI supplementation (day 0), and after 10 days of GP-SPI supplementation (day 10). Total time frame is 17 days.

Population: All 27 participant samples were analyzed.

ArmMeasureGroupValue (MEAN)Dispersion
GP-SPI InterventionGut Microbiota CompositionTenericutes (day -5), % relative abundance0.4 percentage of bacterial phylaStandard Deviation 0.1
GP-SPI InterventionGut Microbiota CompositionFirmicutes (day 0), % relative abundance59.3 percentage of bacterial phylaStandard Deviation 6.9
GP-SPI InterventionGut Microbiota CompositionBacteroidetes (day 0), % relative abundance31.1 percentage of bacterial phylaStandard Deviation 8.06
GP-SPI InterventionGut Microbiota CompositionFirmicutes (day -5), % relative abundance58 percentage of bacterial phylaStandard Deviation 10
GP-SPI InterventionGut Microbiota CompositionBacteroidetes (day -5), % relative abundance30 percentage of bacterial phylaStandard Deviation 9.7
GP-SPI InterventionGut Microbiota CompositionVerrucomicrobia (day -5), % relative abundance0.04 percentage of bacterial phylaStandard Deviation 0.1
GP-SPI InterventionGut Microbiota CompositionActinobacteria (day -5), % relative abundance7.3 percentage of bacterial phylaStandard Deviation 5.3
GP-SPI InterventionGut Microbiota CompositionProteobacteria (day -5), % relative abundance4 percentage of bacterial phylaStandard Deviation 2.9
GP-SPI InterventionGut Microbiota CompositionVerrucomicrobia (day 0), % relative abundance0.04 percentage of bacterial phylaStandard Deviation 0.09
GP-SPI InterventionGut Microbiota CompositionActinobacteria (day 0), % relative abundance5.29 percentage of bacterial phylaStandard Deviation 3.7
GP-SPI InterventionGut Microbiota CompositionProteobacteria (day 0), % relative abundance3.66 percentage of bacterial phylaStandard Deviation 2.66
GP-SPI InterventionGut Microbiota CompositionTenericutes (day 0), % relative abundance0.009 percentage of bacterial phylaStandard Deviation 0.05
GP-SPI InterventionGut Microbiota CompositionFirmicutes (day 10), % relative abundance54.3 percentage of bacterial phylaStandard Deviation 8.9
GP-SPI InterventionGut Microbiota CompositionBacteroidetes (day 10), % relative abundance33.44 percentage of bacterial phylaStandard Deviation 10.4
GP-SPI InterventionGut Microbiota CompositionVerrucomicrobia (day 10), % relative abundance0.07 percentage of bacterial phylaStandard Deviation 0.13
GP-SPI InterventionGut Microbiota CompositionActinobacteria (day 10), % relative abundance8.1 percentage of bacterial phylaStandard Deviation 5.6
GP-SPI InterventionGut Microbiota CompositionProteobacteria (day 10), % relative abundance4.1 percentage of bacterial phylaStandard Deviation 2.6
GP-SPI InterventionGut Microbiota CompositionTenericutes (day 10), % relative abundance0.03 percentage of bacterial phylaStandard Deviation 0.1
Secondary

Comprehensive Metabolic Panel Blood Test (Anion Gap)

The Anion gap was measured for all 27 participants. The anion gap is a calculation of the difference between the amounts of some negatively charged electrolytes (such as chloride and bicarbonate) and the amount of positively charged electrolytes (such as sodium) in blood. The anion gap reveals whether blood has an imbalance of electrolytes, i.e., blood is too acidic or too basic.

Time frame: Samples will be analyzed within one week of blood collection

Population: CMP data was measured for all 27 participants

ArmMeasureValue (MEAN)Dispersion
GP-SPI InterventionComprehensive Metabolic Panel Blood Test (Anion Gap)14.41 meq/LStandard Deviation 1.9
Secondary

Comprehensive Metabolic Panel (CMP) Blood Test (ALP, AST, ALT)

Evaluate the effect of GP-SPI on kidney and liver health/function via CMP blood tests ALP, AST, ALT

Time frame: Samples will be analyzed within one week of blood collection

Population: CMP data was measured for all 27 participants

ArmMeasureGroupValue (MEAN)Dispersion
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (ALP, AST, ALT)Alkaline phosphatase70.7 IU/LStandard Deviation 16.79
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (ALP, AST, ALT)Aspartate transaminase (IU/L)21.41 IU/LStandard Deviation 5.6
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (ALP, AST, ALT)Alkaline transaminase17.52 IU/LStandard Deviation 8.59
Secondary

Comprehensive Metabolic Panel (CMP) Blood Test (Glucose, Blood Urea Nitrogen, Creatine, Calcium, Bilirubin Total)

Evaluate the effect of GP-SPI on kidney and liver health/function via CMP blood tests Measure glucose, blood urea nitrogen, creatine, calcium, bilirubin total

Time frame: Samples will be analyzed within one week of blood collection

Population: CMP data was measured for all 27 participants

ArmMeasureGroupValue (MEAN)Dispersion
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Glucose, Blood Urea Nitrogen, Creatine, Calcium, Bilirubin Total)Blood urea nitrogen14.81 mg/dLStandard Deviation 3.28
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Glucose, Blood Urea Nitrogen, Creatine, Calcium, Bilirubin Total)Creatine0.76 mg/dLStandard Deviation 0.18
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Glucose, Blood Urea Nitrogen, Creatine, Calcium, Bilirubin Total)Glucose85.96 mg/dLStandard Deviation 6.79
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Glucose, Blood Urea Nitrogen, Creatine, Calcium, Bilirubin Total)Calcium9.64 mg/dLStandard Deviation 0.53
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Glucose, Blood Urea Nitrogen, Creatine, Calcium, Bilirubin Total)Bilirubin total0.54 mg/dLStandard Deviation 0.25
Secondary

Comprehensive Metabolic Panel (CMP) Blood Test (Protein, Albumin)

Evaluate the effect of GP-SPI on kidney and liver health/function via CMP blood tests

Time frame: Samples will be analyzed within one week of blood collection

Population: CMP data was measured for all 27 participants

ArmMeasureGroupValue (MEAN)Dispersion
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Protein, Albumin)Protein7.37 g/dLStandard Deviation 0.33
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Protein, Albumin)Albumin4.87 g/dLStandard Deviation 0.29
Secondary

Comprehensive Metabolic Panel (CMP) Blood Test (Sodium, Potassium, Chloride, Total Carbon Dioxide)

For all 27 participants CMP measured four electrolytes: sodium, potassium, chloride, total carbon dioxide. Electrolytes are minerals that carry an electric charge when they are dissolved in a liquid. These electrolytes in blood control nerve and muscle function and maintain the acid-base balance (pH balance) of blood and water balance. Sodium: Most sodium comes from food, and kidneys help regulate body's sodium levels. Potassium: Potassium comes from food and is present in all tissues of body. Bicarbonate: Bicarbonate indicates the amount of carbon dioxide (CO₂) in blood. Chloride: Chloride functions along with sodium, potassium and bicarbonate to control many processes in the body.

Time frame: Samples will be analyzed within one week of blood collection

Population: CMP data was measured for all 27 participants

ArmMeasureGroupValue (MEAN)Dispersion
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Sodium, Potassium, Chloride, Total Carbon Dioxide)Total carbon dioxide25.51 mmol/LStandard Deviation 1.69
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Sodium, Potassium, Chloride, Total Carbon Dioxide)Sodium142.2 mmol/LStandard Deviation 2.33
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Sodium, Potassium, Chloride, Total Carbon Dioxide)Potassium4.57 mmol/LStandard Deviation 0.43
GP-SPI InterventionComprehensive Metabolic Panel (CMP) Blood Test (Sodium, Potassium, Chloride, Total Carbon Dioxide)Chloride102.3 mmol/LStandard Deviation 1.7
Secondary

Data Sharing

Enter de-identified study results into microbiome and metabolome nationwide data sharing database

Time frame: Data will be deposited no later than within 1 year of the completion of the funded project period for the parent award or upon acceptance of the data for publication, or public disclosure of a submitted patent application

Secondary

Microbiome-wide Association Study

Collect fecal, blood, and urine samples for a microbiome-wide association study (MWAS)

Time frame: De-identified samples will be processed and analyzed after all subjects complete the study and within 1 year.

Source: ClinicalTrials.gov · Data processed: Jun 19, 2026