Gut microbiota in Indian adults at high altitude, long.
43 fecal samples from adult Indians, collected at multiple time points before and during ascent to high altitude (up to 16,000–19,000ft), in a longitudinal design examining gut microbiota changes. machine-written summary
43 samples · 43 runs · IN · Adult · 2018 · 0.13 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 129 sample values (age, country, sex) |
| ✓ Abstract / description | 129 sample values (health condition detail, lifestyle, lifestyle detail) |
| ○ Full text | read; no usable statement or table · PMC12993557 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
longitudinal — not resolved
Schedule stated by the source: “Fecal samples collected at four time points: before ascending, after reaching 13000ft, descending at 11000ft, and at 16000ft-19000ft”.
Genera, mean relative abundance over 11 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 43 | 100% | ||||
| country | 43 | 100% | 43 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| age_at_collection_days | 43 | 100% | 43 | |||
| health_condition_detail | 43 | 100% | 43 | |||
| lifestyle | 43 | 100% | 43 | |||
| lifestyle_detail | 43 | 100% | 43 | |||
| sex | 43 | 100% | 43 |
- Antimicrobial resistance burden, and mechanisms of its emergence in gut microbiomes of Indian population. 2024 PMID 41853539 PMC12993557 unsure
Archive description
The human oral & gut microbiota continues to change phenotype by many factors (e.g. environment, host’s diet, stress etc.), throughout life with a major impact on human physiology, psychology, metabolism and immune system. Amongst one such is, extreme environmental condition like High Altitude (HA) - very unique, difficult and full of health risk. Visiting population such as mountaineers, bikers, visitors, pilgrims, soldiers and special task forces who reaches High Altitude are at higher risks than at low landers. However, the reason how the extreme environment, stress, oxygen saturation and diet alter the oral & gut microbiota and affect its composition remains unclear. In this study we investigated the influence of High Altitude and stay at different heights, on the health of Indian population by using metagenomic approach to determine the variation in the gut microbiota. Fecal samples were collected from individuals, at four different time points viz. before the start of the ascending, after reaching 13000ft, descending at 11000ft and at the 16000ft –19000ft. Samples were analysed for whole genome sequencing. The oral & gut microbial diversity of members was significantly altered with the abundance of several bacteria, during the days of staying at 13000ft, 11000ft and 16000ft –19000ft. The oral & gut microbiota comprised mainly of the phyla Firmicutes, Proteobacteria, Bacteroidetes Euryachaeota, Actinobacteria and Unclassified at three time points. Further, the differential analysis of microbes across all the phyla and genus at all the four time points. Most of the identified microbial sequences were unclassified microbiota. Evidently, some metabolic pathways like amino acid, lipid and carbohydrate metabolism pathways were also altered.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by opus_adjudicated with confidence 0.60. Assay shotgun_dna.
- host study.title · “Human oral and gut microbiota”
- host run.scientific_name · “human gut metagenome”
- body site study.description · “Fecal samples were collected from individuals”
- life stage sample.attr.age · “33 (n=43/43)”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN10104555 | age_at_collection_days | 11305.8 | R1 | 0.85 | sample.attr.age | 31 |
| SAMN10104555 | country | IN | R1 | 0.85 | biosample.attribute:isolate | Bhatinda India |
| SAMN10104555 | health_condition_detail | mixed_case_control: Paper analyzes 141 samples from three healthy Indian cohorts, but PRJNA492714 study description does | R4 | 0.50 | paper.abstract | healthy Indian cohorts |
| SAMN10104555 | lifestyle | extreme_environment | R4 | 0.45 | ena.study_description | influence of High Altitude and stay at different heights |
| SAMN10104555 | lifestyle_detail | Individuals ascending/staying at High Altitude (13000-19000ft) | R4 | 0.45 | ena.study_description | influence of High Altitude and stay at different heights |
| SAMN10104555 | sex | male | R1 | 0.90 | sample.attr.sex | male |
Sequencing
43 runs over 43 samples · mean 2.29 Gbp per run (median 0.13 Gbp, total 98.58 Gbp; 43 runs with a base count) · layout PAIRED 43 · platform ILLUMINA 43 · models Illumina HiSeq 2500 (43) · 26% of runs with a Sandpiper profile · first public 2018-09-25 – 2018-09-29
Authors (7)
Ormaasen I first · Rudi K · Diep DB · Snipen L last · Chandel N first · Gorremuchu JP · Thakur V last
Downloads
PRJNA492714.csv.gz (2.1 KB) · parquet (71.6 KB) — all 43 samples, every field with route and confidence · PRJNA492714_determinations.csv.gz (2.2 KB) — 258 evidence rows