Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| University of Ottawa | OTHER |
| Hopital Montfort | OTHER |
| Lucky Iron Fish Enterprise | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
The goal of this clinical trial is to determine if taking a mineral-enriched powder can raise blood iron levels compared to a placebo powder in reproductive-aged women with iron deficiency. The main questions it aims to answer are:
Participants in this clinical trial will drink the mineral-enriched powder containing ferrous iron and zinc sulphate monohydrate or a placebo powder mixed with 1 litre of water daily for six months. The placebo is a look-alike substance that does not contain active ingredients (iron and zinc). Participants will also have to:
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Active intervention | Experimental | Mineral-enriched powder |
|
| Placebo | Placebo Comparator | Placebo powder |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Mineral-enriched powder | Other | Mineral-enriched powder Mineral-enriched powder to allow for at-home fortification of beverages with 5 mg of ferrous iron and 10 mg of zinc sulfate monohydrate |
| Measure | Description | Time Frame |
|---|---|---|
| Serum ferritin (SF) concentrations between active intervention and placebo groups at endline (six months). Proportion of participants remaining iron deficient between active intervention and placebo groups at six months. | SF concentrations will be measured using standard clinical lab assay. | Six months |
| Measure | Description | Time Frame |
|---|---|---|
| Change in SF concentrations from enrolment (baseline), to midline (three months), and endline (six months). | SF concentrations will be measured using standard clinical lab assay. | Baseline, three months, six months |
| Change in haemoglobin (Hb) concentrations from enrolment (baseline), to midline (three months), and endline (six months). |
| Measure | Description | Time Frame |
|---|---|---|
| Exploratory: Microbial metagenome. | The gut microbial metagenome at baseline, three months, and six months. Bacterial genomic DNA will be isolated from stool samples and analysed by whole genome sequencing. Outcomes will be reported descriptively in placebo and intervention groups for: relative abundance, diversity, and variance. | Baseline, three months, six months |
Inclusion Criteria:
Exclusion Criteria:
Individuals who are lactating, pregnant, or planning to become pregnant during the study
Individuals who are not maintaining adequate birth control measures
Have a known sensitivity, intolerability, or allergy to any of the study products or their excipients
Are using vitamin and mineral supplements containing iron and/or zinc
SF concentrations <12 μg/L or >30 μg/L
Having moderate or severe anaemia (Hb <109 g/L)
Expecting to change diet and exercise regimen in the next 6 months
Are frequent blood donors
Had major surgery in the past three months
Have planned surgery during the course of the study
History of problematic alcohol or substance use in the 12 months prior to screening (including having been hospitalized for such in an in-patient or out-patient intervention program)
Use of investigational product(s) in another research study within 30 days prior to the baseline visit or during the study duration
Using any of the following drugs:
Known medical history of specific conditions including:
Have any other active or unstable medical conditions or use of medications/supplements/ therapies that according to the scientific literature, may adversely affect the participant's ability to complete the study or its measures or pose a significant risk to the participant or the quality of the study data.
Women
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Kristin Connor, PhD | Carleton University | Principal Investigator |
| Bénédicte Fontaine-Bisson, RD, PhD | University of Ottawa | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Carleton University | Ottawa | Ontario | K1S 5B6 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22704899 | Background | Subar AF, Kirkpatrick SI, Mittl B, Zimmerman TP, Thompson FE, Bingley C, Willis G, Islam NG, Baranowski T, McNutt S, Potischman N. The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. J Acad Nutr Diet. 2012 Aug;112(8):1134-7. doi: 10.1016/j.jand.2012.04.016. Epub 2012 Jun 15. No abstract available. | |
| 22328929 |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000090463 | Iron Deficiencies |
| D018798 | Anemia, Iron-Deficiency |
| ID | Term |
|---|---|
| D019189 | Iron Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D000747 | Anemia, Hypochromic |
Not provided
Not provided
Double-blind randomised placebo-controlled trial
Not provided
Not provided
All participants, researchers, and the study physician will be blinded to the treatment group (active intervention or placebo) to which participants have been randomised. A delegated unblinded staff member will be permitted to unblind participants for safety purposes, if requested by the principal investigators or the study physician.
| Placebo powder | Other | Placebo powder which is identical to the mineral- enriched powder, but does not contain the active ingredients (ferrous iron and zinc sulfate monohydrate) |
|
Hb concentrations will be measured using standard clinical lab assay. |
| Baseline, three months, six months |
| Levels of metabolites (circulating metabolome) at baseline, three months, and six months. | Functional metabolites in plasma will be measured by Liquid Chromatography-Mass Spectrometry (LC-MS) and Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). | Baseline, three months, six months |
| Concentrations of key circulating pro-inflammatory biomarkers at baseline, three months, and six months. | Plasma pro-inflammatory biomarkers will be measured using standard protocols via multi-plex assay (Human Cytokine 27-plex Assay, BioRad) which includes biomarkers such as TNF-alpha, IL-6, MCP-1. The assay will be conducted, and biomarkers measured according to manufacturer's guidelines. | Baseline, three months, six months |
| Dietary recall: proportion of participants meeting dietary reference intakes at baseline, three months, and six months. | Mean food and nutrient intakes will be used to determine proportion of participants meeting dietary reference intakes. Dietary recalls will be conducted using the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) Canada 2018. This tool measures all food and beverages consumed over a 24-hour period. Dietary recalls will be considered complete if participants provide a minimum of two days of 24-hour recall. | Baseline, three months, six months |
| Dietary recall: dietary patterns at baseline, three months, and six months. | Mean food and nutrient intakes will be used to determine dietary patterns of foods known to alter iron absorption. | Baseline, three months, six months |
| Dietary recall: Healthy Eating Index (HEI) at baseline, three months, and six months. | Mean food and nutrient intakes will be used to determine HEI scores. | Baseline, three months, six months |
| Dietary recall: Dietary Inflammatory Index (DII) at baseline, three months, and six months. | Mean food and nutrient intakes will be used to determine DII scores. | Baseline, three months, six months |
| Self-reported perceptions of health at baseline and six months. | Proportion of participants reporting overall good health status will be measured at baseline and at six months. A descriptive health profile will be generated based on health dimensions in both the active intervention and placebo groups. Number of patients, proportions of categorical responses for each health dimensions, including the severity of the health concern will be derived. The investigators will explore significance of change in health profile within each group and significance of the difference between the active intervention and placebo groups at six months. The investigators will assess associations of health profile with adherence to study regimen. | Baseline, six months |
| Feasibility: Adherence to the consumption regimen for the regular use of the powder. | Proportion of participants with >80% adherence (defined as preparation and consumption of the powder on at least 4 days per week or a minimum of every second day for the duration of the trial) will be measured bi-weekly for the duration of the trial. Adherence will be determined using the study diary, in which participants will report which days they consumed the study product and which days they did not. Adherence will be reported by participants bi-weekly for the duration of the study. | Bi-weekly through study completion, approximately 7 months |
| Feasibility: Adherence to the consumption regimen for the regular use of the powder at three months and six months. | Proportion of unused powder sachets will be measured at three and six months. Participants will be asked to return all used (opened) and unused (unopened) powder sachets at three months and six months. Proportion of unused sachets will be calculated. | Baseline, three months, six months |
| Feasibility: Self-reported barriers to use of the powder. | Proportion of participants reporting perceived barriers to use of the study product at six months. Qualitative summary of types of perceived barriers at six months. | Six months |
| Palatability. | Palatability (i.e. odour, colour, and taste assessments) collected at six months. Palatability assessments of the study product will be conducted at six months using a 9-point hedonic scale to generate palatability scores (where >/=5 indicates that the solution was liked). Differences in participant palatability scores (for colour, odour, sweet, sour, bitter, salty, umami and overall liking) and proportion of participants willing to drink the sample daily will be used to assess the palatability of the powder, show whether the powder is accepted by consumers, and document relationships between palatability and adherence. | Six months |
| Economic: Overall health status. | Overall health status will be measured by the EuroQol-5D visual analogue scale (EQ-5D VAS) at six months. The EQ-5D VAS provides a score of 0 to 100, where 0 represents the worst imaginable health status and 100 represents the best imaginable health status. | Six months |
| Economic: Health state/health state index. | Health state values will be measure by EuroQol-5D (EQ-5D) at six months. Health state values will be used to generate health state index score using Canadian valuation of EQ-5D health states. | Six months |
| Economic: Quality adjusted life years (QALYs). | Health state index scores derived from the EuroQol-5D (EQ-5D) at six months will be used to calculate quality-adjusted life years (QALYs), which will be used to perform cost effectiveness analysis. | Six months |
| Safety (adverse events/harms). | Proportion of adverse events (AEs) and proportion of withdrawals from the study due to harms will be measured at baseline, three months, six months, and approximately seven months (four weeks post study end). AE/harms monitoring will occur bi-weekly for the duration of the study and up to four weeks after last study visit for unresolved AEs. | Baseline, three months, six months, and seven months |
| Exploratory: Microbial metagenome inferred function. | Exploratory analyses of inferred function of the metagenome at baseline, three months, and six months. Compositional approaches and Ingenuity Pathway Analysis will be used to generate hypotheses of genes, networks and biological pathways and processes that may be influenced by the intervention, accounting for clinical data. | Baseline, three months, six months |
| Exploratory: Microbial metabolome. | The gut metabolome at baseline, three months, and six months. Microbial metabolome will be measured in placebo and intervention groups and data related to computationally-derived functions from metagenome data) using Liquid Chromatography-Mass Spectrometry (LC-MS) and Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Data will be processed under standard pipelines with visualisation and pathway analysis by Agilent Mass Profiler, MetaboAnalyst and KEGG databases. | Baseline, three months, six months |
| Background |
| Bansback N, Tsuchiya A, Brazier J, Anis A. Canadian valuation of EQ-5D health states: preliminary value set and considerations for future valuation studies. PLoS One. 2012;7(2):e31115. doi: 10.1371/journal.pone.0031115. Epub 2012 Feb 6. |
| 33347096 | Background | Devlin N, Parkin D, Janssen B. Methods for Analysing and Reporting EQ-5D Data [Internet]. Cham (CH): Springer; 2020. No abstract available. Available from http://www.ncbi.nlm.nih.gov/books/NBK565678/ |
| 21048977 | Background | Gloor GB, Hummelen R, Macklaim JM, Dickson RJ, Fernandes AD, MacPhee R, Reid G. Microbiome profiling by illumina sequencing of combinatorial sequence-tagged PCR products. PLoS One. 2010 Oct 26;5(10):e15406. doi: 10.1371/journal.pone.0015406. |
| 27143475 | Background | Gloor GB, Wu JR, Pawlowsky-Glahn V, Egozcue JJ. It's all relative: analyzing microbiome data as compositions. Ann Epidemiol. 2016 May;26(5):322-9. doi: 10.1016/j.annepidem.2016.03.003. Epub 2016 Apr 2. |
| 24910773 | Background | Fernandes AD, Reid JN, Macklaim JM, McMurrough TA, Edgell DR, Gloor GB. Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis. Microbiome. 2014 May 5;2:15. doi: 10.1186/2049-2618-2-15. eCollection 2014. |
| 29808030 | Background | Zierer J, Jackson MA, Kastenmuller G, Mangino M, Long T, Telenti A, Mohney RP, Small KS, Bell JT, Steves CJ, Valdes AM, Spector TD, Menni C. The fecal metabolome as a functional readout of the gut microbiome. Nat Genet. 2018 Jun;50(6):790-795. doi: 10.1038/s41588-018-0135-7. Epub 2018 May 28. |
| 25201272 | Background | Abdel Rahman AM, Pawling J, Ryczko M, Caudy AA, Dennis JW. Targeted metabolomics in cultured cells and tissues by mass spectrometry: method development and validation. Anal Chim Acta. 2014 Oct 3;845:53-61. doi: 10.1016/j.aca.2014.06.012. Epub 2014 Jun 12. |
| D000740 | Anemia |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |