Probiotic Milk Drink for Gut and Brain Health in Older Adults and Caregivers (PFM)
A Novel Probiotic Fermented Milk Drink to Improve Gut and Brain Health in Older Floridians and Their Caregivers
This double-blind, randomized, placebo-controlled clinical trial will evaluate the effects of a probiotic fermented milk (PFM) drink on gut and brain health in individuals with Alzheimer's disease and related dementias (ADRD) and their caregivers. Up to 40 participants will be enrolled.
Participants will be randomly assigned to consume either the PFM drink or a matched placebo daily for 30 days. The primary objective is to determine whether PFM consumption improves gut microbiome abnormalities. Secondary objectives include evaluating effects on nutrient absorption, gut microbiome diversity and composition, and systemic inflammation. The study will also explore relationships between changes in nutrient absorption, microbiome profiles, inflammation, and behavioral outcomes in participants with ADRD and their caregivers.
Each participant will participate in the study for approximately 30 days. This pilot study is intended to generate preliminary clinical and biological data regarding the potential role of probiotic nutrition in supporting gut and brain health and to inform the design of future larger clinical trials.
연구 개요
상태
상세 설명
This pilot clinical trial will investigate the effects of a human-origin probiotic fermented milk (PFM) beverage on biological pathways related to gut and brain health in individuals with Alzheimer's disease and related dementias (ADRD) and their caregivers. The study is based on evidence suggesting that alterations in the gut microbiome, nutrient metabolism, and systemic inflammation may be associated with cognitive and behavioral health and may represent modifiable targets in ADRD.
Participants with ADRD and their caregivers will be enrolled as patient-caregiver dyads and independently randomized to receive either the PFM intervention or a matched placebo for 30 days. The PFM contains four human-origin probiotic strains: Limosilactobacillus reuteri HL278, Lactiplantibacillus plantarum HL279, Lacticaseibacillus paracasei HL260, and Lactiplantibacillus plantarum HL82.
Biological assessments will be performed before and after the intervention to characterize changes in the gut microbiome, nutrient-related measures, and systemic inflammation. Fecal microbiome composition will be evaluated using metagenomic sequencing and bioinformatics approaches to examine microbial diversity and taxonomic composition. Blood- and stool-based laboratory analyses will be used to assess selected nutrient and inflammatory biomarkers.
Clinical and behavioral measures will also be evaluated to explore whether biological changes associated with the intervention are related to measures of health, quality of life, agitation, stress, or anxiety in participants with ADRD and their caregivers. Analyses will compare changes between the PFM and placebo groups and explore relationships among microbiome characteristics, nutrient-related measures, inflammatory markers, and behavioral outcomes.
The study is intended to generate preliminary information regarding the biological effects and feasibility of the PFM intervention and to provide data that may inform the design of larger future clinical trials.
연구 유형
등록 (추정된)
단계
- 해당 없음
연락처 및 위치
연구 연락처
- 이름: Hariom Yadav, PhD
- 전화번호: 8139748222
- 이메일: hyadav@usf.edu
연구 연락처 백업
- 이름: Shalini Jain, PhD
- 전화번호: 813-9746281
- 이메일: jains10@usf.edu
연구 장소
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Florida
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Tampa, Florida, 미국, 33612
- Center for Microbiome Research, Microbiomes Institute, University of South Florida, Tampa, FL, 33620
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수석 연구원:
- Hariom Yadav, PhD
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수석 연구원:
- Shalini Jain, PhD
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연락하다:
- Shalini Jain, PhD
- 전화번호: 813-9746281
- 이메일: jains10@usf.edu
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연락하다:
- Dhananjay Yadav, PhD
- 전화번호: 8134521781
- 이메일: dhananjay11@usf.edu
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참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
설명
Inclusion Criteria:• Diagnosed with ADRD and accompanied with their caregiver
- Age ≥ 18 years old
- Willing to consume PFM and/or willing to consume placebo drink, follow instructions of study team and sign consent form
Exclusion Criteria:
- Lactose intolerance or another intolerance that prevents the safe consumption of dairy products
- Allergy to any ingredients in the PFM formulations, including almonds/nuts, lactose/dairy, dextrose, artificial sweeteners, or dyes used in flavoring
- Known allergy or hypersensitivity to peanuts or soy, as indicated on the pectin product label.
- Known allergy, intolerance, or hypersensitivity to Ensure® or any of its components.
- Cancer patients receiving chemotherapy, due to potential increased risk of infection from GI tract damage
- Participants who require systemic antibiotics after randomization will have the antibiotic use documented and will be withdrawn due to potential effects on the gut microbiome. Data collected prior to antibiotic use may be retained, and withdrawn participants will be replaced to maintain the target sample size.
- Major surgery(ies) of the gut or brain within the past five years
- Diagnosis of inflammatory bowel disease (IBD), ulcerative colitis, Crohn's disease, acid reflux, gastroesophageal reflux disease (GERD), Clostridium difficile infection (CDI), or any other gastrointestinal disease that could significantly change the microbiome History of fecal microbiota transplantation
- Small intestinal bacterial overgrowth
- History of anticipatory nausea, vomiting, constipation, or diarrhea
Antibiotic or probiotic or heavy yogurt (3 servings per day) use within the past 30 days
o Probiotic use is defined as consumption of ≥108 CFU/day, in the form of tablets, capsules, lozenges, powders, or dairy products in which probiotics are a major ingredient
- Critical or terminal illnesses including diabetes
- Pregnant women will be excluded from the study based on self-report during the screening process. No pregnancy testing kits will be provided, and pregnancy testing will not be performed as part of this study. Therefore, individuals who are currently pregnant are excluded from participation.
- Significant mental health conditions
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 치료
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 네 배로
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
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실험적: Probiotics fermented milk
Participants will receive two 4-ounce servings of a probiotic fermented milk (PFM) drink daily for 30 days. The PFM drink contains probiotic strains intended to support gut microbiome balance, nutrient absorption, and gut-brain health. Participants will receive two 4-ounce servings of a placebo drink daily for 30 days. The placebo drink is matched in taste, appearance, and volume but does not contain active probiotic components. |
A human-origin probiotic fermented milk (PFM) drink has been developed for this clinical study.
Over 1,000 human-derived probiotic strains were screened for gut and brain health effects using C. elegans, identifying 36 promising strains.
These were further evaluated for growth in milk, fermentation capacity (pH reduction and coagulation), and effects on healthspan.
Four strains with strong performance were selected: Limosilactobacillus reuteri HL278, Lactiplantibacillus plantarum HL279, Lacticaseibacillus paracasei HL260, and Lactiplantibacillus plantarum HL82.
A multi-strain formulation was produced in a dedicated facility.
The final PFM contains GRAS-designated probiotic strains and is manufactured for research use only in this study.
Participants will receive two 4-ounce servings of a placebo drink daily for 30 days.
The placebo drink is matched in taste, appearance, and volume but does not contain active probiotic components.
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위약 비교기: Placebo milk
ADRD and caregivers
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A human-origin probiotic fermented milk (PFM) drink has been developed for this clinical study.
Over 1,000 human-derived probiotic strains were screened for gut and brain health effects using C. elegans, identifying 36 promising strains.
These were further evaluated for growth in milk, fermentation capacity (pH reduction and coagulation), and effects on healthspan.
Four strains with strong performance were selected: Limosilactobacillus reuteri HL278, Lactiplantibacillus plantarum HL279, Lacticaseibacillus paracasei HL260, and Lactiplantibacillus plantarum HL82.
A multi-strain formulation was produced in a dedicated facility.
The final PFM contains GRAS-designated probiotic strains and is manufactured for research use only in this study.
Participants will receive two 4-ounce servings of a placebo drink daily for 30 days.
The placebo drink is matched in taste, appearance, and volume but does not contain active probiotic components.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Change in Gut Microbiome Shannon Diversity Index
기간: Baseline and Day 30
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Change in gut microbiome alpha diversity from baseline to Day 30, quantified using the Shannon diversity index derived from whole-genome shotgun metagenomic sequencing of stool samples. A single change value will be calculated for each participant as the Day 30 Shannon diversity index minus the baseline Shannon diversity index. Unit of Measure: Shannon diversity index |
Baseline and Day 30
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Change in Stool Lipocalin-2 Concentration
기간: Baseline and Day 30
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Change in stool lipocalin-2 concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: ng/g stool |
Baseline and Day 30
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Change in Stool Calprotectin Concentration
기간: Baseline and Day 30
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Change in stool calprotectin concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: µg/g stool |
Baseline and Day 30
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Change in Serum Monocyte Chemoattractant Protein-1 Concentration
기간: Baseline and Day 30
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Change in serum monocyte chemoattractant protein-1 (MCP-1) concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: pg/mL |
Baseline and Day 30
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Change in Serum Interleukin-1 Beta Concentration
기간: Baseline and Day 30
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Change in serum interleukin-1 beta (IL-1β) concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: pg/mL |
Baseline and Day 30
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Change in Serum Tumor Necrosis Factor-Alpha Concentration
기간: Baseline and Day 30
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Change in serum tumor necrosis factor-alpha (TNF-α) concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: pg/mL |
Baseline and Day 30
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Change in Serum Interleukin-6 Concentration
기간: Baseline and Day 30
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Change in serum interleukin-6 (IL-6) concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: pg/mL |
Baseline and Day 30
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Change in Serum C-Reactive Protein Concentration
기간: Baseline and Day 30
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Change in serum C-reactive protein (CRP) concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: µg/mL |
Baseline and Day 30
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Change in Serum Zinc Concentration
기간: Baseline and Day 30
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Change in serum zinc concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: µg/dL |
Baseline and Day 30
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Change in Serum Iodine Concentration
기간: Baseline and Day 30
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Change in serum iodine concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: µg/dL |
Baseline and Day 30
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Change in Serum Magnesium Concentration
기간: Baseline and Day 30
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Change in serum magnesium concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: mg/dL |
Baseline and Day 30
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Change in Serum Folate Concentration
기간: Baseline and Day 30
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Change in serum folate concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: ng/mL |
Baseline and Day 30
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Change in Serum Vitamin D3 Concentration
기간: Baseline and Day 30
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Change in serum vitamin D3 concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: ng/mL |
Baseline and Day 30
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Change in Serum Vitamin B12 Concentration
기간: Baseline and Day 30
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Change in serum vitamin B12 concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: pg/mL |
Baseline and Day 30
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Gut Microbiome Beta Diversity Assessed by Bray-Curtis Dissimilarity
기간: Baseline and Day 30
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Gut microbial community composition will be assessed at baseline and Day 30 using Bray-Curtis dissimilarity calculated from stool metagenomic sequencing data. Bray-Curtis dissimilarity will be used to evaluate differences in microbial community composition between intervention groups and study time points. Unit of Measure: Bray-Curtis dissimilarity |
Baseline and Day 30
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Change in EQ-5D Index Score in ADRD Participants
기간: Baseline and Day 30
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Change in EuroQoL-5D (EQ-5D) health utility index score from baseline to Day 30 in participants with ADRD. Responses across the EQ-5D health dimensions will be converted to a single health utility index score according to the instrument scoring procedure. The outcome will be the Day 30 index score minus the baseline index score. Unit: EQ-5D index score |
Baseline and Day 30
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Change in Cohen-Mansfield Agitation Inventory Total Score
기간: Baseline and Day 30
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Change in Cohen-Mansfield Agitation Inventory (CMAI) total score from baseline to Day 30 in participants with ADRD. Responses to individual CMAI items will be combined according to the instrument scoring procedure to generate one total agitation score at each time point. The outcome will be the Day 30 total score minus the baseline total score. Unit: CMAI total score |
Baseline and Day 30
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Change in Perceived Stress Scale Total Score in Caregivers
기간: Baseline and Day 30
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Description: Change in Perceived Stress Scale (PSS) total score from baseline to Day 30 in caregivers. Individual PSS item responses will be combined according to the instrument scoring procedure to generate one total perceived stress score at each time point. The outcome will be the Day 30 total score minus the baseline total score. Unit: PSS total score |
Baseline and Day 30
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Change in State-Trait Anxiety Inventory State Anxiety Score
기간: Baseline and Day 30
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Description: Change in the State-Trait Anxiety Inventory (STAI) State Anxiety score from baseline to Day 30 in caregivers. Responses to the State Anxiety items will be combined according to the instrument scoring procedure to generate one State Anxiety score at each time point. The outcome will be the Day 30 score minus the baseline score. Unit: STAI State Anxiety score |
Baseline and Day 30
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Change in State-Trait Anxiety Inventory Trait Anxiety Score
기간: Baseline and Day 30
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Description: Change in the State-Trait Anxiety Inventory (STAI) Trait Anxiety score from baseline to Day 30 in caregivers. Responses to the Trait Anxiety items will be combined according to the instrument scoring procedure to generate one Trait Anxiety score at each time point. The outcome will be the Day 30 score minus the baseline score. Unit: STAI Trait Anxiety score |
Baseline and Day 30
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기타 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Change in SF-36 Physical Component Summary Score
기간: Baseline and Day 30
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Change in the Short Form-36 (SF-36) Physical Component Summary (PCS) score from baseline to Day 30 in caregivers. A single PCS summary score will be calculated at each time point, and the outcome will be the Day 30 PCS score minus the baseline PCS score. The SF-36 Mental Component Summary score is reported as a separate outcome measure. Unit: PCS score |
Baseline and Day 30
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Change in SF-36 Mental Component Summary Score
기간: Baseline and Day 30
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Change in the Short Form-36 (SF-36) Mental Component Summary (MCS) score from baseline to Day 30 in caregivers. A single MCS summary score will be calculated at each time point, and the outcome will be the Day 30 MCS score minus the baseline MCS score. The SF-36 Physical Component Summary score is reported as a separate outcome measure. Unit: MCS score |
Baseline and Day 30
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공동 작업자 및 조사자
간행물 및 유용한 링크
일반 간행물
- Chaudhari DS, Jain S, Yata VK, Mishra SP, Kumar A, Fraser A, Kociolek J, Dangiolo M, Smith A, Golden A, Masternak MM, Holland P, Agronin M, White-Williams C, Arikawa AY, Labyak CA, Yadav H. Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults. Geroscience. 2023 Oct;45(5):2819-2834. doi: 10.1007/s11357-023-00799-1. Epub 2023 May 22.
- Ullrich V. Cytochrome P450 and biological hydroxylation reactions. Top Curr Chem. 1979;83:67-104. doi: 10.1007/BFb0019663. No abstract available.
- Ekinci GN, Sanlier N. The relationship between nutrition and depression in the life process: A mini-review. Exp Gerontol. 2023 Feb;172:112072. doi: 10.1016/j.exger.2022.112072. Epub 2022 Dec 21.
- Covello C, Becherucci G, Di Vincenzo F, Del Gaudio A, Pizzoferrato M, Cammarota G, Gasbarrini A, Scaldaferri F, Mentella MC. Parenteral Nutrition, Inflammatory Bowel Disease, and Gut Barrier: An Intricate Plot. Nutrients. 2024 Jul 17;16(14):2288. doi: 10.3390/nu16142288.
- Roth-Walter F, Berni Canani R, O'Mahony L, Peroni D, Sokolowska M, Vassilopoulou E, Venter C. Nutrition in chronic inflammatory conditions: Bypassing the mucosal block for micronutrients. Allergy. 2024 Feb;79(2):353-383. doi: 10.1111/all.15972. Epub 2023 Dec 12.
- Yassine HN, Self W, Kerman BE, Santoni G, Navalpur Shanmugam N, Abdullah L, Golden LR, Fonteh AN, Harrington MG, Graff J, Gibson GE, Kalaria R, Luchsinger JA, Feldman HH, Swerdlow RH, Johnson LA, Albensi BC, Zlokovic BV, Tanzi R, Cunnane S, Samieri C, Scarmeas N, Bowman GL. Nutritional metabolism and cerebral bioenergetics in Alzheimer's disease and related dementias. Alzheimers Dement. 2023 Mar;19(3):1041-1066. doi: 10.1002/alz.12845. Epub 2022 Dec 8.
- Puga F, Wang D, Rafford M, Poe A, Pickering CEZ. The relationship between daily stressors, social support, depression and anxiety among dementia family caregivers: a micro-longitudinal study. Aging Ment Health. 2023 Jul-Aug;27(7):1291-1299. doi: 10.1080/13607863.2022.2116392. Epub 2022 Aug 29.
- Culberson JW, Kopel J, Sehar U, Reddy PH. Urgent needs of caregiving in ageing populations with Alzheimer's disease and other chronic conditions: Support our loved ones. Ageing Res Rev. 2023 Sep;90:102001. doi: 10.1016/j.arr.2023.102001. Epub 2023 Jul 5.
- Chen Y, Gao X, Sun F. Perceived Threat of Alzheimer's Disease and Related Dementias Among Chinese Family Caregivers of Older Adults with Cognitive Impairment. J Gerontol Soc Work. 2024 Oct;67(7):976-994. doi: 10.1080/01634372.2024.2339984. Epub 2024 Apr 8.
- Kivimaki M, Livingston G, Singh-Manoux A, Mars N, Lindbohm JV, Pentti J, Nyberg ST, Pirinen M, Anderson EL, Hingorani AD, Sipila PN. Estimating Dementia Risk Using Multifactorial Prediction Models. JAMA Netw Open. 2023 Jun 1;6(6):e2318132. doi: 10.1001/jamanetworkopen.2023.18132.
- Vogt NM, Kerby RL, Dill-McFarland KA, Harding SJ, Merluzzi AP, Johnson SC, Carlsson CM, Asthana S, Zetterberg H, Blennow K, Bendlin BB, Rey FE. Gut microbiome alterations in Alzheimer's disease. Sci Rep. 2017 Oct 19;7(1):13537. doi: 10.1038/s41598-017-13601-y.
- Zhao L, Guan L, Sun J, Li X. Serum levels of folate, vitamin B6, and vitamin B12 are associated with cognitive impairments in depression patients. Acta Neuropsychiatr. 2024 Feb;36(1):44-50. doi: 10.1017/neu.2023.41. Epub 2023 Aug 29.
- Nagpal R, Neth BJ, Wang S, Craft S, Yadav H. Modified Mediterranean-ketogenic diet modulates gut microbiome and short-chain fatty acids in association with Alzheimer's disease markers in subjects with mild cognitive impairment. EBioMedicine. 2019 Sep;47:529-542. doi: 10.1016/j.ebiom.2019.08.032. Epub 2019 Aug 30.
- Goto Y, Morita K, Suematsu M, Imaizumi T, Suzuki Y. Caregiver Burdens, Health Risks, Coping and Interventions among Caregivers of Dementia Patients: A Review of the Literature. Intern Med. 2023 Nov 15;62(22):3277-3282. doi: 10.2169/internalmedicine.0911-22. Epub 2023 Mar 1.
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- Dhana K, Beck T, Desai P, Wilson RS, Evans DA, Rajan KB. Prevalence of Alzheimer's disease dementia in the 50 US states and 3142 counties: A population estimate using the 2020 bridged-race postcensal from the National Center for Health Statistics. Alzheimers Dement. 2023 Oct;19(10):4388-4395. doi: 10.1002/alz.13081. Epub 2023 Jul 17.
연구 기록 날짜
연구 주요 날짜
연구 시작 (추정된)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
추가 관련 MeSH 약관
기타 연구 ID 번호
- Study007845
- 25A01 (기타 보조금/기금 번호: Florida Department of Health)
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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