Gut microbiota in liver transplant recipients, Taiyuan
42 fecal metagenome samples from liver transplantation patients in Taiyuan, China, studied longitudinally across perioperative and postoperative time points to track gut microbiota recovery. machine-written summary
42 samples · 42 runs · CN · Age unknown · 2025 · 6.52 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 330 sample values (collection date, country, latitude, location locality, location region, longitude, subject id, timepoint) |
| ✓ Abstract / description | 84 sample values (health condition, health condition detail) |
| ✓ Full text | 42 sample values (location site) · PMC12698478 |
| ○ 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 |
intervention — arms not resolved
Surgical procedure studied before/after (bariatric surgery design observational_with_procedure · population transplant_or_immunocompromised · Liver transplantation surgery, sampled across perioperative/postoperative time points
“fecal samples from 59 liver transplantation patients at different stages” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal
10 of 23 people sampled more than once (29 samples; median 2, up to 5 per person) · follow-up median 31 d (max 2 mo) · median interval between samples 31 d (time from collection months (month precision)). Schedule stated by the source: “Samples collected at different perioperative and postoperative time points (e.g., baseline, 1 week, 1 month, 6 months post-transplantation) per 16S/metagenomic design described in paper.”.
Each row is one person (8 shown of 10); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 41 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 | 0 | 0% | ||||
| country | 42 | 100% | 42 | |||
| health_condition | 42 | 100% | 42 | |||
| subject_id | 42 | 100% | 42 | |||
| collection_date | 42 | 100% | 42 | |||
| detailed_location | 42 | 100% | ||||
| health_condition_detail | 42 | 100% | 42 | |||
| latitude | 42 | 100% | 42 | |||
| location_locality | 42 | 100% | 42 | |||
| location_region | 42 | 100% | 42 | |||
| location_site | 42 | 100% | 42 | |||
| longitude | 42 | 100% | 42 | |||
| timepoint_label | 36 | 86% | 36 |
- The gut microbiota in liver transplantation recipients during the perioperative and postoperative recovery period. 2025 PMID 41395487 PMC12698478 own_data
Archive description
Background: Chronic liver disease is one of the frequent causes of death, especially in the developing world. Liver transplantation(LT) is an effective modality to treat end-stage liver disease. Perioperative management of liver transplantation patients and prevention of postoperative complications are the key to improving patient prognosis and quality of life, and the intestinal flora of these patients can affect postoperative complications and overall prognosis.</p><p>Method: We collected a total of 151 fecal samples from 59 liver transplantation patients at different stages from the First Hospital of Shanxi Medical University. Using 16S rRNA sequencing technology, we compared the characteristics and changes of their microbiota. We selected 42 samples for metagenomic sequencing using the microPITA method to further analyze the composition and functional differences of the microbiota during the perioperative period of liver transplantation across various time points.</p><p>Results: After liver transplantation (LT), the gut microbiota initially decreased and then increased. Firmicutes, Proteobacteria, and Bacteroidota were the main bacterial groups during the perioperative period. Firmicutes and Proteobacteria initially decreased and then increased, while Bacteroidota exhibited the opposite process. Alpha diversity and beta diversity analyses indicated that one month post-transplantation was a turning point for microbiota recovery (P< 0.01). Metagenomic sequencing, analyzed using the LEfSe method, identified a total of 50 genera that played significant roles in this process. The changes in microbiota exhibited the same trend as the 16S rRNA results. KEGG pathway analysis also indicated that one month was a critical time point, with Ko02010 potentially being a key pathway for recovery in LT patients, and it showed a negative correlation with Bacteroidota (P < 0.05).</p><p>Conclusion: The abundance of intestinal flora in the perioperative period of LT patients decreased first and then increased, and the turning point of intestinal flora recovery was one month after LT surgery.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.60. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- host study.description · “59 liver transplantation patients”
- body site study.description · “151 fecal samples”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN53205607 | collection_date | 2023-03 | R1 | 0.90 | biosample.attribute:collection_date | 2023-03 |
| SAMN53205607 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China: Taiyuan |
| SAMN53205607 | health_condition | transplant_or_immunocompromised | R4 | 0.50 | study.description | liver transplantation patients at different stages |
| SAMN53205607 | health_condition_detail | Liver transplantation recipients during perioperative and postoperative recovery | R4 | 0.50 | study.description | liver transplantation patients at different stages |
| SAMN53205607 | latitude | 37.8500 | R1 | 0.90 | biosample.attribute:lat_lon | 37.85 N 112.55 E |
| SAMN53205607 | location_locality | Taiyuan | R1 | 0.85 | biosample.attribute:geo_loc_name | China: Taiyuan |
| SAMN53205607 | location_region | Shanxi Sheng | R1 | 0.60 | biosample.attribute:lat_lon | 37.85 N 112.55 E |
| SAMN53205607 | location_site | First Hospital of Shanxi Medical University | R3 | 0.70 | paper.fulltext.methods | First Hospital of Shanxi Medical University between 2021 and 2023 |
| SAMN53205607 | longitude | 112.5500 | R1 | 0.90 | biosample.attribute:lat_lon | 37.85 N 112.55 E |
| SAMN53205607 | subject_id | 4 | R1 | 0.70 | sample.name_rule:alias | A4 |
| SAMN53205607 | timepoint_label | A | R1 | 0.60 | sample.name_rule:alias | A4 |
Sequencing
42 runs over 42 samples · mean 6.58 Gbp per run (median 6.52 Gbp, total 276.34 Gbp; 42 runs with a base count) · layout PAIRED 42 · platform ILLUMINA 42 · models Illumina HiSeq X (42) · 98% of runs with a Sandpiper profile · first public 2025-11-20 – 2025-11-23
Downloads
PRJNA1363135.csv.gz (2.2 KB) · parquet (72.9 KB) — all 42 samples, every field with route and confidence · PRJNA1363135_determinations.csv.gz (4.2 KB) — 456 evidence rows