1. ABOUT THE DATASET ------------ Title: Dataset supporting '2’fuscosyllactose – A deeper dive into responder/non-responder status. A follow-up to the result from the EFFICAD trial' Creator(s): Peter Jackson (https://orcid.org/0000-0003-0098-4719) Organisation(s): University of Reading Rights-holder(s): Beneo GmbH Publication Year: 2023 Description: This dataset was collected as part of my PhD thesis titled 'An exploration of the prebiotic concept: from food matrix to mood state'. Data was collected from adults in the Berkshire, Hampshire and Dorset area aged 18-50 with mild-to-moderate levels of anxiety and depression. The aim of this study was to determine the effects that the probiotic oligofructose and prebiotic candidate 2'fucosyllactose alone and in combination had on microbial composition and mood state. The study design was a five-week, four-arm parallel, double-blind, randomised, placebo-controlled trial involving 92 adults. Volunteers were screened for eligibility and if deemed acceptable were randomly assigned into one-of-four groups: oligofructose, 2'fucosyllactose, oligofructose/2'fucosyllactose combination or maltodextrin. The trial was separated into 2 periods a one-week run-in phase and a four-week intervention phase. During the one-week run-in phase volunteers completed a daily bowel habit diary to capture day-to-day variations prior to intervention. Volunteers provided baseline stool, urine and salvia samples and were asked to complete several baseline mood state questionnaires and a 3-day food dairy. Volunteers then consumed their assigned supplement for four weeks along with completing a daily bowel habit diary. At completion volunteers again provided stool, urine and saliva samples and completed a 2nd round of mood state questionnaires along with submitting another 3-day food questionnaire. Changes in faecal microbial load and composition were analysed via fluorescence in situ hybridisation and 16S rRNA sequencing. Urine samples were analysed via 1H-NMR, TOPSPIN and SIMCA software. Saliva samples were analysed via ELISA assay. Mood state, bowel habit and food diary data were collected using REDCap. For this analysis, the primary point of interest was differences in microbial populations between RES and NR as measured by fluorescence in situ hybridisation flow cytometry and 16S rRNA sequencing. Additionally, we also assessed differences between NR and RES in gastrointestinal sensations (flatulence, intestinal bloating, abdominal pressure, abdominal pain and feeling of fullness) and bowel habits (stool consistency and stool frequency), Beck Depression Inventory (BDI), State-trait anxiety inventory (STAI) Y1 (State – now/in the moment) and Y2 (in general), and Positive and Negative Affect Score – short form. Furthermore, sleep quality as measured via the Pittsburgh sleep quality index and cortisol awakening response (CAR) and urinary metabolites via 1H- NMR were observed. We also collected 3-day consecutive food diary data - Day 0, 1 and 2 and Day 26, 27 and 28 of the intervention phase ¬- to assess any changes nutrient intake (total kcals, protein, total fat, saturated fat, total carbohydrates, total sugar and dietary fibre). The dataset is in xlsx format. Cite as: Jackson, P.P.J (2023) Data supporting '2’fuscosyllactose – A deeper dive into responder/non-responder status. A Follow-up to the result from the EFFICAD trial'. University of Reading. https://doi.org/10.17864/1947.000510 Related publication: Jackson et al., (2023) 2’fuscosyllactose – A deeper dive into responder/non-responder status. A Follow-up to the result from the EFFICAD trial. British Journal of Nutrition. Submitted 2023 Additional information can be found in my thesis: Jackson, Peter (2023). An exploration of the prebiotic concept: from food matrix to mood state: Volume II: Effect of prebiotics and prebiotic candidates on microbial composition and mood sates – Chapter 4 – Inulin-type fructans and 2’fucosyllactose alter both microbial composition and appear to alleviate stress induced mood state in a working population: A double-blind randomised placebo-controlled trial. As well as Volume II: Chapter 5: An examination of responder/non-responder status to 2’FL supplementation. A follow-up to the EFFICAD trial – 2’fucosyllactose – A deeper dive into responder/non-responder status. Contact: Contact: Prof Bob Rastall, Department of Nutrition and Food Science, University of Reading mail: r.a.rastall@reading.ac.uk 2. TERMS OF USE ------------ Copyright Beneo GmbH. This dataset is available to authorised users subject to a Data Access Agreement between the University of Reading and a recipient organisation. A copy of the University of Reading Data Access Agreement is included with this item. To request access to the database, please complete a data access request at https://redcap.link/data-request. 3. PROJECT AND FUNDING INFORMATION ------------ Title: Effect of food matrix on prebiotic efficacy of inulin-type fructans Dates: 2019-2023 Funding organisation: Beneo-Institute, Beneo GmbH, Obrigheim, Germany 4. CONTENTS ------------ File listing File name: RES_NR_Dataset.xlsx - Participant metrics age (y), height (cm), weight (kg), BMI (kg/m2) - Mood state scores - BDI, STAI Y1, STAI Y2, PANAS-SF, PSQI, CAR (ng/mL) - Nutrient data - Total kcals, Total CHO, Total Protein, Total fat, saturated fat, Total sugar, Fiber (all expressed as grams per day) - GI Scores - Stool Frequency, Stool Consistency, Flatulence, Intestinal Bloating, Abdominal Pressure, Abdominal Pain, Feeling of Fullness - FLOW-FISH results - EUB I,II,II (Total bacteria counts) and Bif164 (Bifidobacterium spp) - counts expressed as log10 cells per gram wet faeces - 16S QMP - genus level microbial taxa data - counts are expressed as cells/gram faeces - Bifidobacterium species level QMP Data - counts are expressed as cells/gram faeces - Bacteroides species level QMP Data - counts are expressed as cells/gram faeces - Prevotella species level QMP Data - counts are expressed as cells/gram faeces - Alistipes species level QMP Data - counts are expressed as cells/gram faeces - Roseburia species level QMP Data - counts are expressed as cells/gram faeces - Eubacterium species level QMP Data - counts are expressed as cells/gram faeces - Coprocossus species level QMP Data - counts are expressed as cells/gram faeces - Anaerostipes species level QMP Data - counts are expressed as cells/gram faeces - Ruminococcus species level QMP Data - counts are expressed as cells/gram faeces - Ruminococcus2 species level QMP Data - counts are expressed as cells/gram faeces - Lactobacillus/Entercoccus species level QMP Data - counts are expressed as cells/gram faeces - Lactococcus species level QMP Data - counts are expressed as cells/gram faeces - Blautia species level QMP Data - counts are expressed as cells/gram faeces - Lachnospiraceae incertae sedis QMP Data - counts are expressed as cells/gram faeces - Dorea QMP Data species level - counts are expressed as cells/gram faeces - 1H-NMR spectra data Key - 2'FL = 2'fucosyllactose - NR = Non-responder - RES = Responder - CHO = Total Carbohydrates - BDI = Beck Depression Inventory - STAI-Y1 = State Trait Anxiety Inventory Y1 - STAI-Y2 = State Trait Anxiety Inventory Y2 - PANAS-SF = Positive and Negative Affect Schedule - Short Form - PSQI = Pittsburgh Sleep Quality Index - CAR = Cortisol Awakening Response - EUB I,II,II = Total Bacteria - Bif164 = Bifidobacterium spp. - QMP = Quantitative Microbiome Profiling File name: RES_NR_Original_reads - RES_NR_Original_fastq.zip - Contains all 16S rRNA fastq files for individual participants at D0 and D28 of the intervention Key - 2FL = 2'fucosyllactose - S = sample no. - D0 = Day 0 - D28 = Day 28 - R1 = Read 1 - R2 = Read 2 5. METHODS ----------- A detailed description of methodology can be found in my thesis and at the following publication: Inulin-type fructans and 2’fucosyllactose alter both microbial composition and appear to alleviate stress-induced mood state in a working population compared to placebo (maltodextrin): the EFFICAD Trial, a randomized, controlled trial. AJCN. DOI: https://doi.org/10.1016/j.ajcnut.2023.08.016 In this dataset responder status was based on changes documented in bifidobacterial levels using quantitative microbiome profiling data. Volunteers were ranked in order of difference in bifidobacterial response from low to high. Volunteers were then segregated into two groups. Individuals documenting no change or decreases in Bifidobacterium response were classed as NR (n = 11). Those individuals documenting increases in Bifidobacterium response were classed as RES (n = 12).