Fasting vs DASH diet in metabolic syndrome, Berlin
69 gut microbiome samples from adults and elderly metabolic syndrome patients in Berlin, Germany, studying a 5-day fast followed by a modified DASH diet versus modified DASH diet alone, in an intervention design. machine-written summary
69 samples · 69 runs · DE · Adult · 2021 · 5.16 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 1,104 sample values (age, collection date, country, diet, diet detail, health condition, health condition detail, intervention) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 69 sample values (location site) · PMC10284677, PMC8010079 |
| ○ 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
Controlled / prescribed diet or feeding regimen design randomized_controlled_trial · population cardiometabolic_other · 5-day fast then modified DASH diet vs modified DASH diet alone
“a 5-day fast followed by a modified Dietary Approach to Stop Hypertension” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal
23 of 23 people sampled more than once (69 samples; median 3, up to 3 per person) · follow-up median 4 mo (max 5 mo) · median interval between samples 2 mo (time from collection months (month precision)). Schedule stated by the source: “Each of 23 patients sampled at three visits (V1, V2, V3) spanning a 5-day fast plus modified DASH diet period through a stated 3-month post-intervention follow-up.” (time origin: intervention start).
Each row is one person (23 shown); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 64 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 | 69 | 100% | ||||
| country | 69 | 100% | 69 | |||
| health_condition | 69 | 100% | 69 | |||
| subject_id | 69 | 100% | 69 | |||
| age_at_collection_days | 69 | 100% | 69 | |||
| collection_date | 69 | 100% | 69 | |||
| detailed_location | 69 | 100% | ||||
| diet | 69 | 100% | 69 | |||
| diet_detail | 69 | 100% | 69 | |||
| health_condition_detail | 69 | 100% | 69 | |||
| intervention | 69 | 100% | 69 | |||
| intervention_detail | 69 | 100% | 69 | |||
| latitude | 69 | 100% | 69 | |||
| location_locality | 69 | 100% | 69 | |||
| location_region | 69 | 100% | 69 | |||
| location_site | 69 | 100% | 69 | |||
| longitude | 69 | 100% | 69 | |||
| sex | 69 | 100% | 69 | |||
| timepoint_label | 69 | 100% | 69 |
- Fasting alters the gut microbiome reducing blood pressure and body weight in metabolic syndrome patients. 2021 PMID 33785752 PMC8010079 own_data
- LongDat: an R package for covariate-sensitive longitudinal analysis of high-dimensional data. 2023 PMID 37359720 PMC10284677 own_data
Archive description
Periods of fasting and refeeding may reduce cardiometabolic risk elevated by Western diet. We show that in hypertensive metabolic syndrome patients, a 5-day fast followed by a modified Dietary Approach to Stop Hypertension diet reduced systolic blood pressure, need for antihypertensive medications, body-mass index at three months post intervention compared to a modified Dietary Approach to Stop Hypertension diet alone. Fasting altered the gut microbiome, impacting bacterial taxa and gene modules associated with short-chain fatty acid production. Cross-system analyses revealed a positive correlation of circulating mucosa-associated invariant T cells, non-classical monocytes and CD4+ effector T cells with SBP. Furthermore, regulatory T cells positively correlated with body mass index and weight. Machine learning analysis of baseline immunome or microbiome data could predict sustained systolic blood pressure response within the fasting group, identifying CD8+ effector T cells, Th17 cells and Tregs or Desulfovibrionaceae, Hydrogenoanaerobacterium, Akkermansia, and Ruminococcaceae as important contributors to the model.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.60. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site study.title · “Fasting alters the gut microbiome”
- life stage study.title · “metabolic syndrome patients”
- life stage sample.attr.host_age · “66 (n=9/69)”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN17719188 | age_at_collection_days | 22980.8 | R1 | 0.85 | sample.attr.host_age | 63 |
| SAMN17719188 | collection_date | 2014-04 | R1 | 0.90 | biosample.attribute:collection_date | 2014-04 |
| SAMN17719188 | country | DE | R1 | 0.90 | sample.attr.geo_loc_name | Germany: Berlin |
| SAMN17719188 | diet | therapeutic_or_study_diet | R1 | 0.90 | biosample.attribute:host_diet | fasting+DASH |
| SAMN17719188 | diet_detail | fasting+DASH | R1 | 0.90 | biosample.attribute:host_diet | fasting+DASH |
| SAMN17719188 | health_condition | cardiometabolic_other | R1 | 0.90 | biosample_attr | metabolic syndrome according to National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria |
| SAMN17719188 | health_condition_detail | metabolic syndrome according to National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria | R1 | 0.90 | sample.attr.host_disease | metabolic syndrome according to National Cholesterol Education Program Adult Treatment Panel III |
| SAMN17719188 | intervention | diet_intervention | R1 | 0.80 | biosample.attribute:host_diet | host_diet: fasting+DASH |
| SAMN17719188 | intervention_detail | 5-day fast followed by modified DASH diet | R1 | 0.80 | biosample.attribute:host_diet | host_diet: fasting+DASH |
| SAMN17719188 | latitude | 52.4196 | R1 | 0.90 | biosample.attribute:lat_lon | 52.419580 N 13.164180 E |
| SAMN17719188 | location_locality | Berlin | R1 | 0.85 | biosample.attribute:geo_loc_name | Germany: Berlin |
| SAMN17719188 | location_region | Berlin | R1 | 0.60 | biosample.attribute:lat_lon | 52.419580 N 13.164180 E |
| SAMN17719188 | location_site | Charité-Universitätsmedizin, outpatient center of Internal and Integrative Medicine | R3 | 0.70 | paper.fulltext.methods | outpatient center of the department of Internal and Integrative Medicine at Charité-Universitätsmedizin |
| SAMN17719188 | longitude | 13.1642 | R1 | 0.90 | biosample.attribute:lat_lon | 52.419580 N 13.164180 E |
| SAMN17719188 | sex | female | R1 | 0.90 | sample.attr.host_sex | female |
| SAMN17719188 | subject_id | 1 | R1 | 0.85 | sample.attr.host_subject_id | 1 |
| SAMN17719188 | timepoint_label | V1 | R1 | 0.70 | sample.name_rule:title | Pat_1_V1 |
Sequencing
69 runs over 69 samples · mean 5.29 Gbp per run (median 5.16 Gbp, total 365.10 Gbp; 69 runs with a base count) · layout PAIRED 69 · platform ILLUMINA 69 · models Illumina NovaSeq 6000 (69) · 93% of runs with a Sandpiper profile · first public 2021-02-02
Authors (22)
Maifeld A first · Bartolomaeus H · Löber U · Avery EG · Steckhan N · Markó L · Wilck N · Hamad I · Šušnjar U · Mähler A · Hohmann C · Chen CY · Cramer H · Dobos G · Lesker TR · Strowig T · Dechend R · Bzdok D · Kleinewietfeld M · Michalsen A · Müller DN · Forslund SK last
Downloads
PRJNA698459.csv.gz (3.4 KB) · parquet (76.7 KB) — all 69 samples, every field with route and confidence · PRJNA698459_determinations.csv.gz (9.2 KB) — 1,173 evidence rows