ClinicalTrials.gg
Not yet recruitingNCT07800195PFMUpdated Sep 2, 2026

Probiotic Milk Drink for Gut and Brain Health in Older Adults and Caregivers

An interventional study of Probiotic Fermented Milk (PFM) Drink and Placebo in Alzheimer Disease Related Dementia, sponsored by University of South Florida. Not yet recruiting at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-09-02.

Sponsored by University of South Florida · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

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.

Read the detailed description

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.

02

Conditions studied

  • Alzheimer Disease Related Dementia

Keywords

  • caregivers
  • Probiotic fermented milk
  • Gut microbiome
  • Gut-brain axis
  • Microbiome diversity
  • Nutrient absorption
  • Randomized controlled trial
03

In context

Alzheimer Disease

3,965 studies on the registry are indexed under Alzheimer Disease; 926 are open to participants now.

This study's planned enrollment of 40 is below the median of 70 across 3,019 interventional studies indexed under Alzheimer Disease.

Browse Alzheimer Disease studies →

Lead sponsor

University of South Florida is the lead sponsor of 340 studies on the registry; 65 are open to participants now.

Of its 17 completed or terminated interventional studies of FDA-regulated products, 4 (24%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Eligibility criteria

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 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
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Hypersensitivity

An allergy, or another reaction of the immune system, to a substance. “Hypersensitivity to the study drug” means a known allergic reaction to it — not every side effect a medicine can have.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Quadruple (Participant, Care provider, Investigator, Outcomes assessor)
Enrollment
40 participants (estimated)

Study arms

  • Experimental
    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.

    Dietary Supplement: Probiotic Fermented Milk (PFM) Drink · Dietary Supplement: Placebo

  • Placebo comparator
    Placebo milk

    ADRD and caregivers

    Dietary Supplement: Probiotic Fermented Milk (PFM) Drink · Dietary Supplement: Placebo

Interventions

  • Dietary supplementProbiotic Fermented Milk (PFM) Drink

    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.

  • Dietary supplementPlacebo

    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.

06

What researchers measure

Primary outcomes

  1. Change in Gut Microbiome Shannon Diversity Index

    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

    Time frame: Baseline and Day 30

Secondary outcomes

  1. Change in Stool Lipocalin-2 Concentration

    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

    Time frame: Baseline and Day 30

  2. Change in Stool Calprotectin Concentration

    Change in stool calprotectin concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: µg/g stool

    Time frame: Baseline and Day 30

  3. Change in Serum Monocyte Chemoattractant Protein-1 Concentration

    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

    Time frame: Baseline and Day 30

  4. Change in Serum Interleukin-1 Beta Concentration

    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

    Time frame: Baseline and Day 30

  5. Change in Serum Tumor Necrosis Factor-Alpha Concentration

    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

    Time frame: Baseline and Day 30

  6. Change in Serum Interleukin-6 Concentration

    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

    Time frame: Baseline and Day 30

  7. Change in Serum C-Reactive Protein Concentration

    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

    Time frame: Baseline and Day 30

  8. Change in Serum Zinc Concentration

    Change in serum zinc concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: µg/dL

    Time frame: Baseline and Day 30

  9. Change in Serum Iodine Concentration

    Change in serum iodine concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: µg/dL

    Time frame: Baseline and Day 30

  10. Change in Serum Magnesium Concentration

    Change in serum magnesium concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: mg/dL

    Time frame: Baseline and Day 30

  11. Change in Serum Folate Concentration

    Change in serum folate concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: ng/mL

    Time frame: Baseline and Day 30

  12. Change in Serum Vitamin D3 Concentration

    Change in serum vitamin D3 concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: ng/mL

    Time frame: Baseline and Day 30

  13. Change in Serum Vitamin B12 Concentration

    Change in serum vitamin B12 concentration from baseline to Day 30, calculated as the Day 30 value minus the baseline value. Unit: pg/mL

    Time frame: Baseline and Day 30

  14. Gut Microbiome Beta Diversity Assessed by Bray-Curtis Dissimilarity

    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

    Time frame: Baseline and Day 30

  15. Change in EQ-5D Index Score in ADRD Participants

    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

    Time frame: Baseline and Day 30

  16. Change in Cohen-Mansfield Agitation Inventory Total Score

    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

    Time frame: Baseline and Day 30

  17. Change in Perceived Stress Scale Total Score in Caregivers

    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

    Time frame: Baseline and Day 30

  18. Change in State-Trait Anxiety Inventory State Anxiety Score

    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

    Time frame: Baseline and Day 30

  19. Change in State-Trait Anxiety Inventory Trait Anxiety Score

    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

    Time frame: Baseline and Day 30

Other outcomes

  1. Change in SF-36 Physical Component Summary Score

    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

    Time frame: Baseline and Day 30

  2. Change in SF-36 Mental Component Summary Score

    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

    Time frame: Baseline and Day 30

07

Study locations

1 site
  • Center for Microbiome Research, Microbiomes Institute, University of South Florida, Tampa, FL, 33620
    Tampa, Florida 33612, United States
    • Shalini Jain, PhD · Contactjains10@usf.edu · 813-9746281
    • Dhananjay Yadav, PhD · Contactdhananjay11@usf.edu · 8134521781
    • Hariom Yadav, PhD · Principal investigator
    • Shalini Jain, PhD · Principal investigator
08

References and documents

Publications

  • Ullrich V. Cytochrome P450 and biological hydroxylation reactions. Top Curr Chem. 1979;83:67-104. doi: 10.1007/BFb0019663. No abstract available. PubMed 384602 ↗
  • 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. PubMed 36565729 ↗
  • 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. PubMed 39064731 ↗
  • 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. PubMed 38084827 ↗
  • 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. PubMed 36479795 ↗
  • 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. PubMed 36038530 ↗
  • 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. PubMed 37414157 ↗
  • 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. PubMed 38590188 ↗
  • 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. PubMed 37310738 ↗
  • 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. PubMed 29051531 ↗
  • 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. PubMed 37642170 ↗
  • 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. PubMed 31477562 ↗
  • 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. PubMed 37213047 ↗
  • 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. PubMed 36858522 ↗
  • Rawat P, Sehar U, Bisht J, Reddy AP, Reddy PH. Alzheimer's disease and Alzheimer's disease-related dementias in Hispanics: Identifying influential factors and supporting caregivers. Ageing Res Rev. 2024 Jan;93:102178. doi: 10.1016/j.arr.2023.102178. Epub 2023 Dec 27. PubMed 38154509 ↗
  • 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. PubMed 37458371 ↗

Individual participant data

Plan to share: No — We are conducting a small (n=24), likely enrollment (n=40) single-site pilot/clinical study. Data involves older adults and ADRD patients + caregivers (sensitive population)

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Sep 2026; primary completion for Oct 2026, 1 month later.

Of 882 non-industry interventional studies with no phase under Alzheimer Disease, half reached primary completion within 30 months of starting (the median), counting those still running; a quarter within 15 and three quarters within 51. This study's planned 1 month is below that.

Counting every sponsor, half of 959 studies reached it within 29 months; a quarter within 15 and three quarters within 51.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 26, 2026
First posted
Sep 2, 2026
StartEst.
Sep 1, 2026
Primary completionEst.
Oct 1, 2026
CompletionEst.
Oct 20, 2026
Last update
Sep 2, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 2, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07800195
Responsible party
Sponsor
First posted
Sep 2, 2026
Start date
Sep 1, 2026 (estimated)
Primary completion
Oct 1, 2026 (estimated)
Completion
Oct 20, 2026 (estimated)
Last update
Sep 2, 2026

Study contacts

Shalini Jain, PhD
Contact
jains10@usf.edu
813-9746281
Hariom Yadav, PhD
Contact
hyadav@usf.edu
8139748222

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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