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PRJNA1096331 SRP499806

Nut vs cereal bar diet trial in NZ Chinese adults

Effect of Dietary High-Protein Nut versus High-Carbohydrate Cereal Supplementation on the Gut Microbiomes of Chinese Participants with Prediabetes

64 faecal samples from overweight Chinese adults with prediabetes living in New Zealand, comparing high-protein nut bar versus high-carbohydrate cereal bar supplementation in a randomised, parallel-group intervention trial. machine-written summary

64 samples · 64 runs · NZ · Adult · 2025 · 2.23 Gbp / sample

Sources
✓Sequence archive 640○Abstract / description○Full text○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive640 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude, sex)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC11206330
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Controlled / prescribed diet or feeding regimen design randomized_controlled_trial · population type2_diabetes · Higher-protein nut bar vs higher-carbohydrate cereal bar, 12-week parallel-group trial

“12-week randomised, parallel-group clinical trial” — abstract:38931324 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult64
Condition
type2_diabetes64
Sex
male40
female24
Country
NZ64
Body site
primary64
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 5 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 2 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 2 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 40 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 15 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 2.23 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

32 of 32 people sampled more than once (64 samples; median 2, up to 2 per person) · follow-up median 3 mo (max 3 mo) · median interval between samples 3 mo (time from visit codes mapped to the stated schedule). Schedule stated by the source: “Two faecal samples per participant: baseline (CID1) and after a 12-week dietary intervention (CID5).” (time origin: intervention_start); stated follow-up 3 mo.

4400244002: day 044002: day 844400444004: day 044004: day 844400944009: day 044009: day 844401244012: day 044012: day 844401544015: day 044015: day 844401644016: day 044016: day 844401744017: day 044017: day 844402644026: day 044026: day 844404444044: day 044044: day 844404644046: day 044046: day 844404844048: day 044048: day 844405244052: day 044052: day 844405644056: day 044056: day 844405944059: day 044059: day 844406344063: day 044063: day 844407144071: day 044071: day 844407644076: day 044076: day 844408344083: day 044083: day 844408544085: day 044085: day 844409044090: day 044090: day 844409244092: day 044092: day 844409344093: day 044093: day 844410244102: day 044102: day 844410344103: day 044103: day 844410444104: day 044104: day 844410544105: day 044105: day 844410644106: day 044106: day 844410944109: day 044109: day 844411144111: day 044111: day 844411344113: day 044113: day 844411544115: day 044115: day 844411644116: day 044116: day 840 d21 d42 d2 mo3 mo

Each row is one person (32 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Faecalibacterium 11.2%Roseburia 6.5%Gemmiger 5.6%Bacteroides 4.7%Phocaeicola 4.6%Dialister 4.1%Lachnospira 2.9%Bifidobacterium 2.7%Anaerostipes 2.0%Blautia_A 1.9%Prevotella 1.9%Hominimerdicola 1.7%not assigned to a genus 7.5%other genera 42.5%

Genera, mean relative abundance over 54 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category64 100%
country64 100%64
health_condition64 100%64
subject_id64 100%64
collection_date64 100%64
detailed_location64 100%
health_condition_detail64 100%64
latitude64 100%64
location_region64 100%64
longitude64 100%64
sex64 100%64
timepoint_label64 100%64
Papers (1)
  • Effect of a Higher-Protein Nut versus Higher-Carbohydrate Cereal Enriched Diet on the Gut Microbiomes of Chinese Participants with Overweight and Normoglycaemia or Prediabetes in the Tū Ora Study. 2024 PMID 38931324 PMC11206330 own_data
Details
Archive description

Evaluating the effect of a meal replacement (High-Protein Nut or High-Carbohydrate Cereal Supplementation) on the gut microbiome profiles of overweight Asian Chinese consumers with prediabetes

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.description · “Chinese Participants with Prediabetes”
  • body site run.scientific_name · “human gut metagenome”
  • life stage study.description · “overweight Asian Chinese consumers with prediabetes”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN40751621collection_date2018R10.90biosample.attribute:collection_date2018
SAMN40751621countryNZR10.90sample.attr.geo_loc_nameNew Zealand
SAMN40751621health_conditiontype2_diabetesR10.70sample.name_rule:titleprediabetic male diet HC-CB
SAMN40751621health_condition_detailprediabetic male diet HC-CBR10.70sample.name_rule:titleprediabetic male diet HC-CB
SAMN40751621latitude-36.8509R10.90biosample.attribute:lat_lon36.8509 S 174.7645 E
SAMN40751621location_regionAucklandR10.60biosample.attribute:lat_lon36.8509 S 174.7645 E
SAMN40751621longitude174.7645R10.90biosample.attribute:lat_lon36.8509 S 174.7645 E
SAMN40751621sexmaleR10.70sample.name_rule:titleprediabetic male diet HC-CB
SAMN40751621subject_id44009R10.70sample.name_rule:aliashuman stool participant 44009 CID1
SAMN40751621timepoint_labelCID1R10.70sample.name_rule:aliashuman stool participant 44009 CID1
Sequencing

64 runs over 64 samples · mean 2.44 Gbp per run (median 2.23 Gbp, total 156.38 Gbp; 64 runs with a base count) · layout PAIRED 64 · platform ILLUMINA 64 · models Illumina HiSeq 2500 (64) · 84% of runs with a Sandpiper profile · first public 2025-06-03 – 2025-06-23

Authors (12)

Faraj S first · Sequeira-Bisson IR · Lu L · Miles-Chan JL · Hoggard M · Barnett D · Parry-Strong A · Foster M · Krebs JD · Poppitt SD · Taylor MW · Mathrani A last

Downloads

PRJNA1096331.csv.gz (2.6 KB) · parquet (73.2 KB) — all 64 samples, every field with route and confidence · PRJNA1096331_determinations.csv.gz (5.0 KB) — 640 evidence rows

Samples (64 · every field this project has values for · hover a cell for its source)
Loading the sample table…