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PRJNA529586 SRP189712

Longitudinal gut microbiome, nursing home elders, MA

Alzheimers Disease microbiome in elders

489 stool samples from elderly nursing home residents in Massachusetts, USA, collected longitudinally to identify microbiome taxa associated with Alzheimer's Disease. machine-written summary

490 samples · 490 runs · US · Adult · 2020 · 0.38 Gbp / sample

Sources
✓Sequence archive 2,444✓Abstract / description 1,470✓Full text 1○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 archive2,444 sample values (collection date, country, location region, subject id, timepoint)
✓ Abstract / description1,470 sample values (health condition detail, lifestyle, lifestyle detail)
✓ Full text1 sample values (location region) · PMC12483529, PMC8007149
○ 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

design observational_with_procedure

Samples at a glance
1 country
Age
elderly490
Country
US490
Body site
primary490
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 48 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 45 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 110 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 212 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 73 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 2 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 0.38 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalcare home — not resolved

125 of 174 people sampled more than once (437 samples; median 3, up to 12 per person) · follow-up median 2 mo (max 6 mo) · median interval between samples 30 d (time from visit codes mapped to the stated schedule). Schedule stated by the source: “Monthly stool collection per resident for up to 5 months (observed day offsets include 0,2,5,8,11,14,15,16,17,20,23,25,30,45,60,90,120 days from enrollment).” (time origin: enrolment).

CH1-142CH1-142: day 0CH1-142: day 23CH1-142: day 53CH1-142: day 83CH1-143CH1-143: day 0CH1-143: day 30CH1-143: day 30CH1-143: day 60CH1-149CH1-149: day 0CH1-149: day 30CH1-149: day 31CH1-149: day 60CH1-153CH1-153: day 0CH1-153: day 30CH1-153: day 45CH1-153: day 90CH1-154CH1-154: day 0CH1-154: day 45CH1-154: day 60CH1-154: day 90CH1-156CH1-156: day 0CH1-156: day 0CH1-156: day 30CH1-156: day 45CH1-159CH1-159: day 0CH1-159: day 2CH1-159: day 15CH1-159: day 30CH1-159: day 60CH1-165CH1-165: day 0CH1-165: day 0CH1-165: day 15CH1-165: day 30CH1-165: day 90CH1-166CH1-166: day 0CH1-166: day 30CH1-166: day 60CH1-166: day 90CH1-167CH1-167: day 0CH1-167: day 0CH1-167: day 1CH1-167: day 30CH1-170CH1-170: day 0CH1-170: day 15CH1-170: day 15CH1-170: day 45CH1-170: day 60CH1-172CH1-172: day 0CH1-172: day 0CH1-172: day 15CH1-172: day 30CH1-172: day 45CH1-172: day 60CH1-172: day 75CH1-172: day 90CH1-173CH1-173: day 0CH1-173: day 0CH1-173: day 15CH1-173: day 30CH1-173: day 45CH1-173: day 60CH1-175CH1-175: day 0CH1-175: day 0CH1-175: day 60CH1-175: day 90CH1-177CH1-177: day 0CH1-177: day 0CH1-177: day 30CH1-177: day 60CH1-178CH1-178: day 0CH1-178: day 30CH1-178: day 30CH1-178: day 60CH1-179CH1-179: day 0CH1-179: day 30CH1-179: day 60CH1-179: day 90CH1-181CH1-181: day 0CH1-181: day 30CH1-181: day 60CH1-181: day 90CH1-182CH1-182: day 0CH1-182: day 30CH1-182: day 60CH1-182: day 90CH1-184CH1-184: day 0CH1-184: day 30CH1-184: day 60CH1-184: day 90CH1003CH1003: day 0CH1003: day 18CH1003: day 20CH1003: day 23CH1003: day 26CH1003: day 29CH1003: day 32CH1003: day 38CH1003: day 60CH1003: day 90CH1005CH1005: day 0CH1005: day 30CH1005: day 90CH1005: day 150CH1007CH1007: day 0CH1007: day 10CH1007: day 13CH1007: day 16CH1007: day 19CH1007: day 22CH1007: day 25CH1007: day 28CH1009CH1009: day 0CH1009: day 3CH1009: day 6CH1009: day 9CH1009: day 15CH1009: day 18CH1009: day 22CH1009: day 27CH1009: day 57CH1009: day 87CH1017CH1017: day 0CH1017: day 2CH1017: day 5CH1017: day 8CH1017: day 11CH1017: day 14CH1017: day 17CH1017: day 20CH1017: day 30CH1017: day 33CH1017: day 60CH1017: day 90CH1018CH1018: day 0CH1018: day 30CH1018: day 60CH1018: day 90CH1019CH1019: day 0CH1019: day 30CH1019: day 60CH1019: day 90CH1020CH1020: day 0CH1020: day 30CH1020: day 60CH1020: day 90CH1045CH1045: day 0CH1045: day 30CH1045: day 60CH1045: day 90CH1046CH1046: day 0CH1046: day 30CH1046: day 60CH1046: day 90CH1091CH1091: day 0CH1091: day 30CH1091: day 60CH1091: day 90CH1091: day 120CH1091: day 150CH1095CH1095: day 0CH1095: day 30CH1095: day 60CH1095: day 90CH1095: day 120CH1095: day 150CH1097CH1097: day 0CH1097: day 30CH1097: day 60CH1097: day 90CH1097: day 120CH1104CH1104: day 0CH1104: day 0CH1104: day 30CH1104: day 60CH1104: day 90CH1110CH1110: day 0CH1110: day 30CH1110: day 60CH1110: day 90CH1110: day 92CH3004CH3004: day 0CH3004: day 3CH3004: day 6CH3004: day 9CH3004: day 12CH3004: day 15CH3004: day 18CH3004: day 30CH3004: day 60CH3004: day 900 d38 d2 mo4 mo5 mo

Each row is one person (36 shown of 125); dots are samples at days since that person's first sample.

Nursing-home elders from 5 facilities (paper); per-sample facility not deposited.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 12.9%Phocaeicola 5.9%Alistipes 5.3%Blautia_A 4.0%Akkermansia 3.4%Escherichia 3.4%Mediterraneibacter 3.3%Methanocatella 2.6%Bifidobacterium 2.5%Parabacteroides 2.4%Roseburia 2.3%Ruthenibacterium 1.1%not assigned to a genus 22.1%other genera 28.7%

Genera, mean relative abundance over 364 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category490 100%
country490 100%490
health_condition0 0%
subject_id486 99%486
detailed_location490 100%
health_condition_detail490 100%490
lifestyle490 100%490
lifestyle_detail490 100%490
location_region490 100%4891
timepoint_label490 100%490
collection_date489 100%489
Papers (2)
  • The high prevalence of Clostridioides difficile among nursing home elders associates with a dysbiotic microbiome. 2021 PMID 33764826 PMC8007149 own_data
  • ADAM-1: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration. 2025 PMID 41036149 PMC12483529 own_data
Details
Archive description

Studies examining the intestinal microbiota of Alzheimer's Disease (AD) patients revealed that their microbiome differs from subjects without dementia. In this work, 108 nursing home elders were prospectively enrolled and followed for up to 5 months collecting longitudinal stool samples. Samples were subjected to metagenomic sequencing for identification of taxa that act as major predictors of AD.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.description · “Studies examining the intestinal microbiota of Alzheimer's”
  • body site external_curation.infant_catalog · “body_site_call stool”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage study.description · “this work, 108 nursing home elders were prospectively”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN11269715collection_date2016-07-01/2018-07-31R10.90biosample.attribute:collection_date2016-07-01/2018-07-31
SAMN11269715countryUSR10.90sample.attr.geo_loc_nameUSA: Massachusetts
SAMN11269715health_condition_detailmixed_case_control: Alzheimer's Disease patients vs subjects without dementiaR40.50study.descriptionmicrobiome differs from subjects without dementia
SAMN11269715lifestyleinstitutionalizedR40.40ena.study_description108 nursing home elders were prospectively enrolled
SAMN11269715lifestyle_detailnursing home eldersR40.40ena.study_description108 nursing home elders were prospectively enrolled
SAMN11269715location_regionMassachusettsR10.85biosample.attribute:geo_loc_nameUSA: Massachusetts
SAMN11269758location_regionMassachusettsR30.70paper.fulltext.methodsfive nursing home sites in central Massachusetts
SAMN11269715subject_idCH1017R10.70sample.name_rule:titlesubject_CH1017_specimen_1_day_0
SAMN11269715timepoint_labelCH1017_day_0R10.85sample.attr.day_of_collectionCH1017_day_0
SAMN11269758timepoint_labelday 0R10.85biosample.attribute:day_of_collectionCH1007_day_0
Sequencing

490 runs over 490 samples · mean 0.53 Gbp per run (median 0.38 Gbp, total 258.41 Gbp; 490 runs with a base count) · layout PAIRED 490 · platform ILLUMINA 490 · models NextSeq 500 (490) · 74% of runs with a Sandpiper profile · first public 2020-04-14 – 2024-02-25

Authors (13)

Haran JP first · Ward DV · Bhattarai SK · Loew E · Dutta P · Higgins A · McCormick BA · Bucci V last · Huang Z first · Kaur Sekhon V · Sadeghian R · Vaida ML · Jo C

Downloads

PRJNA529586.csv.gz (14.4 KB) · parquet (89.9 KB) — all 490 samples, every field with route and confidence · PRJNA529586_determinations.csv.gz (28.9 KB) — 3,915 evidence rows

Samples (490 · every field this project has values for · hover a cell for its source)
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