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Blackcurrants Modify Gut Microbiota and Reduce Osteoporosis and CVD Risk

Blackcurrant Modifies Gut Microbiota and Reduces the Risk of Postmenopausal Osteoporosis and Cardiovascular Disease: A Pilot Randomized Clinical Trial

Status
Completed
Phases
Phase 1
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04431960
Enrollment
51
Registered
2020-06-16
Start date
2021-07-20
Completion date
2022-10-03
Last updated
2025-08-12

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

Conditions

Cardiovascular Diseases, Gut Microbiota, Postmenopausal Osteoporosis

Keywords

blackcurrant, gut microbiome, osteoporosis, menopause, bone aging, women, cardiovascular disease

Brief summary

Aim to evaluate the effects of blackcurrant supplementation on changes in gut microbiome, bone mass, and CVD risk factors in adult women.

Detailed description

Postmenopausal bone loss is a primary contributor to osteoporosis and osteoporotic fractures in adult women in menopause transition. By following women over this period, studies have documented distinct patterns of a decrease in estrogen, a natural antioxidant, simultaneously with adverse alterations in body fat distribution, lipids and lipoproteins, and measures of vascular health, which can increase a woman's risk of developing CVD. Overall goal of this project is to evaluate the effects of blackcurrant (BC) supplementation on changes in gut microbiome, bone mass, and CVD risk factors in adult women. For this purpose, the investigators will conduct a pilot randomized placebo-controlled clinical trial with BC supplementation for 6 months in peri- and early postmenopausal women aged 45-60 years. The primary endpoint will be whole-body bone mineral density (BMD); secondary endpoints will be gut microbiota composition. To delineate the underlying mechanisms of the action, changes in biomarkers for bone metabolism, bone-related immune and endocrine systemic biomarkers, and CVD risk factors by BC supplementation will be measured in plasma and peripheral blood derived mononuclear cells. The specific objectives of the study are to investigate the effects of BC extract on: 1) bone mass and bone remodeling markers; 2) changes in the gut microbiota abundance and composition, immune and endocrine biomarkers, and CVD risk factors and their relationships with changes in bone mass. The proposed study will provide novel insight into whether and how BC consumption reduces the risk of postmenopausal bone loss and CVD in adult women and will improve understanding of the clinical roles of gut microbiome in postmenopausal bone loss. Findings from this study will help increase awareness of the bone and heart health promoting effect of BC and motivate increased production of BC and other berry products in response to the increasing consumer demand.

Interventions

A calcium citrate caplet (Bayer AG, Germany) will be taken by all 3 groups to avoid bone deterioration related to calcium and vitamin D deficiency

Sponsors

University of Connecticut
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Masking description

The extract and placebo will have the identical shape and color and will be packaged into coded containers.

Intervention model description

The study participants will be randomly assigned to three groups and asked to consume 1 tablet containing 392 mg blackcurrant (BC) extract per capsule (low-BC Group), 2 capsules containing 392 mg BC extract per tablet (total 784 mg/day; high-BC Group), or 1 placebo capsule (Control Group) daily with breakfast meals for 6 months. To avoid bone deterioration related to calcium and vitamin D deficiency, all participants will take a calcium citrate caplet daily that includes 400 mg calcium and 500 IU vitamin D (Bayer AG, Germany) beginning 2 weeks before the study and lasting for the duration of the study.

Eligibility

Sex/Gender
FEMALE
Age
45 Years to 60 Years
Healthy volunteers
Yes

Inclusion criteria

* perimenopausal or early postmenopausal women aged 45-60 years old * not on HRT for at least one year before the initiation of the study * maintaining normal exercise level (\<7 h/wk) and willing to avoid exercise 24-h prior to blood and stool sampling and 12-h prior to bone measurements * willing to ingest a dietary BC supplement or placebo (up to 900 mg/day, two 450 mg capsules) as well as 400 mg calcium and 500 IU vitamin D daily * willing to avoid other dietary supplements for the duration of the study * willing to avoid intake of foods extremely rich in anthocyanins and fermented dairy products containing viable Bifidobacteria or Lactobacilli * willing to have 3 blood draws, 2 stool collections, and 2 bone scans * willing to take urine pregnancy test if they are perimenopausal.

Exclusion criteria

* those with metabolic bone disease, renal disease, cancer, cardiovascular disease, diabetes mellitus, respiratory disease, gastrointestinal disease, liver disease or other chronic diseases * those with hypertension or on drugs that lower blood pressure * those with planned surgery during the study period or within 2 weeks of ending the intervention * taking medications that alter bleeding (such as antiplatelets or anticoagulants) or those with a bleeding disorder * taking a phenothiazine drug (most commonly used for nausea or mental health conditions) * having a sensitivity or allergy to any of ingredients for the placebo (rice powder) and calcium/D supplement (calcium citrate, polyethylene glycol, croscarmellose sodium, hydroxypropyl methylcellulose, magnesium stearate, oligofructose enriched inulin, propylene glycol dicaprylate/dicaprate, talc, titanium dioxide, vitamin D3) * heavy smokers (\>20 cigarettes/day) * perimenopausal women with any chance or plan of pregnancy * taking prescription medications known to alter bone and Ca metabolism such as calcitonin, bisphosphonates, raloxifene within 3 months before the start of the study * taking anabolic agents such as parathyroid hormone, growth hormone, or steroids within 3 months before the start of the study * planning any procedure that includes iodine, barium or nuclear medicine isotopes in next 7 months * alcohol consumption exceeding 2 drinks/day (approximately 14 g ethanol per drink) or a total of 12/week * UConn students and/or employees who any key personnel teach or who report to any key personnel * study key personnel, spouses of key personnel, or dependents/relatives of any key personnel.

Design outcomes

Primary

MeasureTime frameDescription
Bone Mineral Density (BMD)From baseline to 6 monthsChanges in BMD of whole-body measured via dual energy x-ray absorptiometry

Secondary

MeasureTime frameDescription
Serum Marker of Bone FormationFrom baseline to 6 monthsChanges to serum concentrations of P1NP
Plasma Regulator of Bone MetabolismFrom baseline to 6 monthsChanges to plasma concentrations RANKL
Changes in Plasma Inflammatory CytokineFrom baseline to 6 monthsChanges to plasma concentrations of IL-1B

Other

MeasureTime frameDescription
Concentrations of Plasma Immune Markersfrom baseline to 6 monthschanges in plasma concentrations of immune biomarkers (IL-1β, IL-6, TNFα, Th17 and Treg)
Changes in Gut Microbial Compositionfrom baseline to 6 monthsThis was measured using alpha diversity by species richness and Shannon diversity and beta diversity by principal component analysis. Structural comparisons were done comparing relative abundance between groups at the genus and phylum levels
Concentrations of Plasma IGF-1 and cGPfrom baseline to 6 monthschanges in plasma concentrations of endocrine biomarkers
Serum Inflammation Biomarkerfrom baseline to 6 monthschanges in serum inflammation biomarker (hs-CRP)
Fasting Blood Lipidsfrom baseline to 6 monthsChanges in plasma CVD risk factors (total cholesterol \[TC\], high density lipoprotein \[HDL\] and triglycerides \[TG\])
Blood Pressure (SBP/DBP), BMI, WC, Body Compositionfrom baseline to 6 monthschanges in blood pressure (SBP/DBP), BMI, WC, body composition

Countries

United States

Participant flow

Participants by arm

ArmCount
Low-BC Group
consume: 1) one tablet containing 392 mg blackcurrant (BC) extract per capsule and 2) one calcium citrate caplet containing 400 mg calcium and 500 IU vitamin D blackcurrant (BC) extract: A calcium citrate caplet (Bayer AG, Germany) will be taken by all 3 groups to avoid bone deterioration related to calcium and vitamin D deficiency
16
High-BC Group
consume: 1) two capsules containing 392 mg BC extract per tablet (total 784 mg/day) and 2) one calcium citrate caplet containing 400 mg calcium and 500 IU vitamin D blackcurrant (BC) extract: A calcium citrate caplet (Bayer AG, Germany) will be taken by all 3 groups to avoid bone deterioration related to calcium and vitamin D deficiency
11
Control Group
consume: 1) one placebo capsule and 2) one calcium citrate caplet containing 400 mg calcium and 500 IU vitamin D blackcurrant (BC) extract: A calcium citrate caplet (Bayer AG, Germany) will be taken by all 3 groups to avoid bone deterioration related to calcium and vitamin D deficiency
13
Total40

Baseline characteristics

CharacteristicControl GroupTotalLow-BC GroupHigh-BC Group
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
13 Participants40 Participants16 Participants11 Participants
Age, Continuous54.4 years
STANDARD_DEVIATION 3.8
53.1 years
STANDARD_DEVIATION 4.3
53.7 years
STANDARD_DEVIATION 4.5
50.9 years
STANDARD_DEVIATION 4.2
Race/Ethnicity, Customized
Race/ethnicity
Asian-American/Pacific Islander
0 Participants2 Participants2 Participants0 Participants
Race/Ethnicity, Customized
Race/ethnicity
Caucasian
13 Participants37 Participants13 Participants11 Participants
Race/Ethnicity, Customized
Race/ethnicity
Hispanic
0 Participants1 Participants1 Participants0 Participants
Region of Enrollment
United States
13 participants40 participants16 participants11 participants
Sex: Female, Male
Female
13 Participants40 Participants16 Participants11 Participants
Sex: Female, Male
Male
0 Participants0 Participants0 Participants0 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 160 / 110 / 13
other
Total, other adverse events
0 / 160 / 110 / 13
serious
Total, serious adverse events
0 / 160 / 110 / 13

Outcome results

Primary

Bone Mineral Density (BMD)

Changes in BMD of whole-body measured via dual energy x-ray absorptiometry

Time frame: From baseline to 6 months

ArmMeasureGroupValue (MEAN)Dispersion
Low-BC GroupBone Mineral Density (BMD)6 month1.14 g/cm^2Standard Deviation 0.12
Low-BC GroupBone Mineral Density (BMD)Baseline1.14 g/cm^2Standard Deviation 0.13
High-BC GroupBone Mineral Density (BMD)6 month1.17 g/cm^2Standard Deviation 0.08
High-BC GroupBone Mineral Density (BMD)Baseline1.15 g/cm^2Standard Deviation 0.08
Control GroupBone Mineral Density (BMD)6 month1.16 g/cm^2Standard Deviation 0.13
Control GroupBone Mineral Density (BMD)Baseline1.17 g/cm^2Standard Deviation 0.13
Secondary

Changes in Plasma Inflammatory Cytokine

Changes to plasma concentrations of IL-1B

Time frame: From baseline to 6 months

Population: Analysis was performed on 36 participants for IL-1β due to missing values.

ArmMeasureGroupValue (MEAN)Dispersion
Low-BC GroupChanges in Plasma Inflammatory CytokineBaseline16.73 pg/mLStandard Error 1.85
Low-BC GroupChanges in Plasma Inflammatory Cytokine6 months16.66 pg/mLStandard Error 1.85
High-BC GroupChanges in Plasma Inflammatory CytokineBaseline15.36 pg/mLStandard Error 2.44
High-BC GroupChanges in Plasma Inflammatory Cytokine6 months15.06 pg/mLStandard Error 2.44
Control GroupChanges in Plasma Inflammatory CytokineBaseline17.95 pg/mLStandard Error 2.09
Control GroupChanges in Plasma Inflammatory Cytokine6 months18.34 pg/mLStandard Error 2.09
Secondary

Plasma Regulator of Bone Metabolism

Changes to plasma concentrations RANKL

Time frame: From baseline to 6 months

Population: Analysis was performed on 35 participants for RANKL due to missing values.

ArmMeasureGroupValue (MEAN)Dispersion
Low-BC GroupPlasma Regulator of Bone MetabolismBaseline211.12 pg/mLStandard Error 89.94
Low-BC GroupPlasma Regulator of Bone Metabolism6 months210.15 pg/mLStandard Error 90.43
High-BC GroupPlasma Regulator of Bone MetabolismBaseline133.99 pg/mLStandard Error 111.89
High-BC GroupPlasma Regulator of Bone Metabolism6 months102.09 pg/mLStandard Error 112.51
Control GroupPlasma Regulator of Bone MetabolismBaseline256.81 pg/mLStandard Error 110.39
Control GroupPlasma Regulator of Bone Metabolism6 months284.47 pg/mLStandard Error 111
Secondary

Serum Marker of Bone Formation

Changes to serum concentrations of P1NP

Time frame: From baseline to 6 months

ArmMeasureGroupValue (MEAN)Dispersion
Low-BC GroupSerum Marker of Bone FormationBaseline26.55 ng/mLStandard Deviation 10.43
Low-BC GroupSerum Marker of Bone Formation6 months25.99 ng/mLStandard Deviation 10.27
High-BC GroupSerum Marker of Bone FormationBaseline21.21 ng/mLStandard Deviation 10.09
High-BC GroupSerum Marker of Bone Formation6 months41.79 ng/mLStandard Deviation 39.47
Control GroupSerum Marker of Bone FormationBaseline32.53 ng/mLStandard Deviation 20.93
Control GroupSerum Marker of Bone Formation6 months26.36 ng/mLStandard Deviation 17.71
Other Pre-specified

Blood Pressure (SBP/DBP), BMI, WC, Body Composition

changes in blood pressure (SBP/DBP), BMI, WC, body composition

Time frame: from baseline to 6 months

Other Pre-specified

Changes in Gut Microbial Composition

This was measured using alpha diversity by species richness and Shannon diversity and beta diversity by principal component analysis. Structural comparisons were done comparing relative abundance between groups at the genus and phylum levels

Time frame: from baseline to 6 months

Other Pre-specified

Concentrations of Plasma IGF-1 and cGP

changes in plasma concentrations of endocrine biomarkers

Time frame: from baseline to 6 months

Other Pre-specified

Concentrations of Plasma Immune Markers

changes in plasma concentrations of immune biomarkers (IL-1β, IL-6, TNFα, Th17 and Treg)

Time frame: from baseline to 6 months

Other Pre-specified

Fasting Blood Lipids

Changes in plasma CVD risk factors (total cholesterol \[TC\], high density lipoprotein \[HDL\] and triglycerides \[TG\])

Time frame: from baseline to 6 months

ArmMeasureGroupValue (MEAN)Dispersion
Low-BC GroupFasting Blood LipidsHDL (baseline)62.0 mg/dLStandard Deviation 4.2
Low-BC GroupFasting Blood LipidsTG (6 months)112.3 mg/dLStandard Deviation 8.8
Low-BC GroupFasting Blood LipidsHDL (6 months)59.9 mg/dLStandard Deviation 4.5
Low-BC GroupFasting Blood LipidsHDL (3 months)62.9 mg/dLStandard Deviation 4.7
Low-BC GroupFasting Blood LipidsTC (baseline)179.7 mg/dLStandard Deviation 9.5
Low-BC GroupFasting Blood LipidsTG (3 months)106.5 mg/dLStandard Deviation 9.6
Low-BC GroupFasting Blood LipidsTC (6 months)167.6 mg/dLStandard Deviation 9.7
Low-BC GroupFasting Blood LipidsTC (3 months)177.5 mg/dLStandard Deviation 9.1
Low-BC GroupFasting Blood LipidsTG (baseline)112.8 mg/dLStandard Deviation 10.8
High-BC GroupFasting Blood LipidsHDL (3 months)71.6 mg/dLStandard Deviation 5.3
High-BC GroupFasting Blood LipidsTC (baseline)194.0 mg/dLStandard Deviation 10.8
High-BC GroupFasting Blood LipidsTC (3 months)196.7 mg/dLStandard Deviation 10.2
High-BC GroupFasting Blood LipidsTC (6 months)194.2 mg/dLStandard Deviation 11
High-BC GroupFasting Blood LipidsHDL (baseline)70.8 mg/dLStandard Deviation 4.7
High-BC GroupFasting Blood LipidsHDL (6 months)73.5 mg/dLStandard Deviation 5
High-BC GroupFasting Blood LipidsTG (baseline)78.1 mg/dLStandard Deviation 12.2
High-BC GroupFasting Blood LipidsTG (3 months)87.4 mg/dLStandard Deviation 10.9
High-BC GroupFasting Blood LipidsTG (6 months)68.9 mg/dLStandard Deviation 10
Control GroupFasting Blood LipidsTC (6 months)184.0 mg/dLStandard Deviation 10.1
Control GroupFasting Blood LipidsTC (baseline)178.1 mg/dLStandard Deviation 9.9
Control GroupFasting Blood LipidsTG (baseline)68.4 mg/dLStandard Deviation 11.2
Control GroupFasting Blood LipidsTC (3 months)180.5 mg/dLStandard Deviation 9.4
Control GroupFasting Blood LipidsTG (6 months)74.2 mg/dLStandard Deviation 9.2
Control GroupFasting Blood LipidsHDL (3 months)72.3 mg/dLStandard Deviation 4.8
Control GroupFasting Blood LipidsHDL (baseline)71.5 mg/dLStandard Deviation 4.3
Control GroupFasting Blood LipidsTG (3 months)75.5 mg/dLStandard Deviation 10
Control GroupFasting Blood LipidsHDL (6 months)72.8 mg/dLStandard Deviation 4.6
Other Pre-specified

Serum Inflammation Biomarker

changes in serum inflammation biomarker (hs-CRP)

Time frame: from baseline to 6 months

Source: ClinicalTrials.gov · Data processed: Feb 6, 2026