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PRJNA836336 SRP374337

Gut metagenome in MSM before/after HIV seroconversion

Gut metagenome of MSM prior to and following HIV seroconversion

Longitudinal study of 139 gut metagenome samples from men who have sex with men in Los Angeles, Chicago, and Peru, comparing those who acquired HIV to matched at-risk controls. machine-written summary

139 samples · 139 runs · US, PE · Adult · 2023 · 0.85 Gbp / sample

Sources
✓Sequence archive 1,239○Abstract / description✓Full text 139○Supplementary tables✓External resources 34–User contribution–Human verified

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

what each source gave
✓ Sequence archive1,239 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text139 sample values (sex) · PMC13562672, PMC9520213
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources34 sample values (health condition) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
3 sampling locations · 2 countries
Age
adult139
Condition
other_infection75
healthy_control64
Sex
male139
Country
US92
PE47
Body site
unknown139
Collected 2014–2018
2014: 4 samples2015: 14 samples2016: 21 samples2017: 38 samples2018: 39 samples20142018
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 6 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 13 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 21 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 36 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 56 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 7 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 0.85 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

55 of 55 people sampled more than once (139 samples; median 2, up to 5 per person) · follow-up median 12 mo (max 2.0 y) · median interval between samples 6 mo (time from collection dates). Schedule stated by the source: “mSTUDY/HYM/RADAR visits every 6 months; Peru visits every 3 months; RevisedVisitNumber -2 to 3 relative to seroconversion”; stated follow-up 10 mo.

1071WH0317171071WH031717: day 01071WH031717: day 2691129011290: day 011290: day 7911290: day 1621134011340: day 011340: day 8911340: day 1531244012440: day 012440: day 9212440: day 1611269012690: day 012690: day 8412690: day 1751366013660: day 013660: day 8413660: day 1611474014740: day 014740: day 8414740: day 1641493014930: day 014930: day 10314930: day 1691511015110: day 015110: day 9915110: day 183184WH052416184WH052416: day 0184WH052416: day 475243RE060616243RE060616: day 0243RE060616: day 54926772677: day 02677: day 44928932893: day 02893: day 16130313031: day 03031: day 350615WH083016615WH083016: day 0615WH083016: day 615675AR092116675AR092116: day 0675AR092116: day 385828WH111016828WH111016: day 0828WH111016: day 529848WH120116848WH120116: day 0848WH120116: day 455V140013V140013: day 0V140013: day 387V140020V140020: day 0V140020: day 197V140020: day 365V140021V140021: day 0V140021: day 175V140021: day 357V140021: day 540V140021: day 728V140022V140022: day 0V140022: day 369V140033V140033: day 0V140033: day 564V140042V140042: day 0V140042: day 260V150044V150044: day 0V150044: day 191V150046V150046: day 0V150046: day 407V150071V150071: day 0V150071: day 178V150081V150081: day 0V150081: day 355V150100V150100: day 0V150100: day 189V150100: day 375V150100: day 746V150115V150115: day 0V150115: day 591V150131V150131: day 0V150131: day 513V150132V150132: day 0V150132: day 363V160151V160151: day 0V160151: day 168V160151: day 354V160151: day 540V160151: day 727V170254V170254: day 0V170254: day 185V170254: day 388V170254: day 463V170255V170255: day 0V170255: day 186V170255: day 368V170255: day 462V170291V170291: day 0V170291: day 174V170291: day 2770 d6 mo12 mo18 mo2.0 y

Each row is one person (36 shown of 55); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Prevotella 19.5%Bacteroides 8.5%Phocaeicola 5.2%Brachyspira 4.5%Roseburia 2.4%Faecalibacterium 2.3%Streptococcus 2.1%Blautia_A 1.7%Mediterraneibacter 1.7%Finegoldia 1.5%Alloprevotella 1.4%Helicobacter_C 1.3%not assigned to a genus 13.6%other genera 34.2%

Genera, mean relative abundance over 109 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category139 100%
country139 100%139
health_condition139 100%10534
subject_id139 100%139
health_condition_detail139 100%139
latitude139 100%139
longitude139 100%139
sex139 100%139
timepoint_label139 100%139
collection_date116 83%116
detailed_location92 66%
location_locality92 66%92
location_region92 66%92
Papers (2)
  • Gut dysbiosis and inflammatory blood markers precede HIV with limited changes after early seroconversion. 2022 PMID 36179550 PMC9520213 own_data
  • Commensal bacteria inhibit viral infections via a tryptophan metabolite. 2026 PMID 42722642 PMC13562672 unsure
Details
Archive description

Alterations in the gut microbiome have been associated with HIV infection, but the relative impact of HIV versus other factors on the gut microbiome has been difficult to determine in cross-sectional studies using controls not at behavioral risk for HIV. To address this, we examined the gut microbiome, serum metabolome, and cytokines longitudinally within individuals before and after HIV seroconversion, and also compared those at risk who acquired HIV to matched control participants who did not.

How this project entered the registry

Classified as human gut / stool / blood / tissue / internal fluids shotgun DNA metagenome of adult 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.title · “Gut metagenome of MSM”
  • body site study.description · “Alterations in the gut microbiome have been”
  • body site study.description · “the gut microbiome, serum metabolome, and cytokines”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN28157543collection_date2014-10-30R10.90biosample.attribute:collection_date2014-10-30
SAMN28157543countryUSR10.90sample.attr.geo_loc_nameUSA: Los Angeles
SAMN28157545health_conditionother_infectionR10.90biosample_attrPositive
SAMN28157543health_conditionother_infectionR20.75external.gmrepo sourcephenotype: HIV Infections
SAMN28157543health_condition_detailNegativeR10.90sample.attr.hivserostatusNegative
SAMN28157543latitude34.0500R10.90biosample.attribute:lat_lon34.05 N 118.24 W
SAMN28157543location_localityLos AngelesR10.85biosample.attribute:geo_loc_nameUSA: Los Angeles
SAMN28157543location_regionCaliforniaR10.60biosample.attribute:lat_lon34.05 N 118.24 W
SAMN28157543longitude-118.2400R10.90biosample.attribute:lat_lon34.05 N 118.24 W
SAMN28157543sexmaleR30.60paper.fulltext.resultsAll participants were assigned male at birth
SAMN28157543subject_idV140020R10.85sample.attr.pidV140020
SAMN28157543timepoint_labelrevisedvisitnumber -2R10.85biosample.attribute:revisedvisitnumber-2
Sequencing

139 runs over 139 samples · mean 1.07 Gbp per run (median 0.85 Gbp, total 149.30 Gbp; 139 runs with a base count) · layout PAIRED 139 · platform ILLUMINA 139 · models Illumina HiSeq 4000 (139) · 78% of runs with a Sandpiper profile · first public 2023-06-05

Authors (36)

Fulcher JA first · Li F · Tobin NH · Zabih S · Elliott J · Clark JL · D'Aquila R · Mustanski B · Kipke MD · Shoptaw S · Gorbach PM · Aldrovandi GM last · Jiang D first · Soo N · Tan CY · Dankwa S · Wang HY · Theriot BS · Xue K · Hill D · Ardeshir A · Bain JR · Heston SM · Hurst JH · Siddiqui NY · Van Rompay KKA · Cervantes-Barragan L · Smith JP · Song R · Roper J · Kelly MS · Hudgens MG · De Paris K · Permar SR · Goswami R · Surana NK last

Downloads

PRJNA836336.csv.gz (5.5 KB) · parquet (77.6 KB) — all 139 samples, every field with route and confidence · PRJNA836336_determinations.csv.gz (11.3 KB) — 1,412 evidence rows

Samples (139 · every field this project has values for · hover a cell for its source)
Loading the sample table…