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PRJNA1138893 SRP521674

Gut metagenomes in CRC vs healthy controls, Inner Mongolia, China

The aim of this study was to analyze the differences in gut microbiota, metabolites, and metabolic pathways between healthy individuals and patients with colorectal cancer

Case-control metagenomic study of 46 fecal samples (26 colorectal cancer patients, 20 healthy controls) from Inner Mongolia, China, comparing gut microbiota, metabolites, and metabolic pathways between groups. machine-written summary

46 samples · 46 runs · CN · Age unknown · 2024 · 5.72 Gbp / sample

Sources
✓Sequence archive 322○Abstract / description✓Full text 138○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 archive322 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text138 sample values (antibiotic exposure, location site, subject id) · PMC12682799
○ 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
Samples at a glance
1 sampling locations · 1 country
Age
unknown46
Condition
colorectal_cancer26
healthy_control20
Country
CN46
Body site
primary46
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 46 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 5.72 Gbp per sample0130Gbp
Community composition
Phocaeicola 16.8%Bacteroides 14.1%Prevotella 10.7%Roseburia 4.3%Alistipes 3.4%Lachnospira 2.7%Faecalibacterium 2.5%Escherichia 2.3%Mediterraneibacter 1.9%Parabacteroides 1.6%Klebsiella 1.6%Porphyromonas 1.4%not assigned to a genus 5.2%other genera 31.6%

Genera, mean relative abundance over 43 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country46 100%46
health_condition46 100%46
subject_id46 100%46
antibiotic_exposure46 100%46
collection_date46 100%46
detailed_location46 100%
health_condition_detail46 100%46
latitude46 100%46
location_region46 100%46
location_site46 100%46
longitude46 100%46
Papers (2)
  • Bacteroides ovatus-derived N-methylserotonin inhibit colorectal cancer via the HTR1D-mediated cAMP-PKA-NF-κB signaling axis. 2025 PMID 41368641 PMC12682799 own_data
  • Metagenome analysis reveals multi-kingdom gut microbiota as diagnostic markers for colorectal cancer. 2026 PMID 42519695 PMC13383993 unsure
Details
Archive description

We conducted metagenomic and untargeted metabolomic sequencing analyses of fecal samples collected from patients with CRC (n=26) and healthy controls (n=20) and observed an elevated abundance of potentially pathogenic bacteria such as Escherichia, Fusobacterium, Klebsiella, Lachnoclostridium, Lachnoclostridium, Shigella and Enterococcus alongside reduced abundance of probiotic bacteria including Lactococcus, Lachnospira and Eubacterium in patients with CRC. Metabolites and metabolic pathways related to glycolysis, methane generation, beneficial amino acid degradation, and linoleic acid degradation were significantly elevated in CRC patients compared with healthy controls. Notably, differential analysis identified N-methylserotonin as one of the most significantly differentially expressed metabolites between the two group, and no previous studies have reported the relevance of this metabolite to tumors. Furthermore, N-methylserotonin levels exhibited a significant positive correlation with the abundance of probiotic bacteria such as Lachnospira, as well as with the degree of tumor differentiation, suggesting its potential as a non-invasive biomarker for CRC diagnosis.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.85. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.description · “fecal samples collected from patients with CRC”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN42746516antibiotic_exposurenoR30.70paper.fulltext.methodsantibiotic/probiotic/prebiotic use within one month prior to specimen collection
SAMN42746516collection_date2021-07R10.90biosample.attribute:collection_date2021-07
SAMN42746516countryCNR10.90sample.attr.geo_loc_nameChina:Inner Mongolia
SAMN42746516health_conditioncolorectal_cancerR10.70sample.name_rule:aliasC
SAMN42746516health_condition_detailCR10.70sample.name_rule:aliasC
SAMN42746516latitude41.0000R10.90biosample.attribute:lat_lon41 N 107 E
SAMN42746516location_regionInner MongoliaR10.85biosample.attribute:geo_loc_nameChina:Inner Mongolia
SAMN42746516location_sitePeople's Hospital of BayannurR30.70paper.fulltext.methodsbetween July 2021 and December 2022 at the People’s Hospital of Bayannur
SAMN42746516longitude107.0000R10.90biosample.attribute:lat_lon41 N 107 E
SAMN42746516subject_idSAMN42746516R30.70design.one_sample_per_subject:fulltextFecal samples from CRC patients (n=26) and healthy controls (n=20) were collected for metagenomic sequencing
Sequencing

46 runs over 46 samples · mean 5.75 Gbp per run (median 5.72 Gbp, total 264.60 Gbp; 46 runs with a base count) · layout PAIRED 46 · platform ILLUMINA 46 · models Illumina NovaSeq 6000 (46) · 93% of runs with a Sandpiper profile · first public 2024-07-31

Authors (16)

He J first · Jia J · Qu W · Zhang S · Fan K · Lin R · Zhao W · Niu Y · Huang Y · Jia L last · Wang X first · Wang J · Chen W · Sun J · Li J · Hu H last

Downloads

PRJNA1138893.csv.gz (2.2 KB) · parquet (72.2 KB) — all 46 samples, every field with route and confidence · PRJNA1138893_determinations.csv.gz (3.8 KB) — 460 evidence rows

Samples (46 · every field this project has values for · hover a cell for its source)
Loading the sample table…