Trial reportNature communications2017
Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator.
Trial report in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.
- Pooled it
- Proteomics reveals unique plasma signatures in constitutional thinness.Proteomics. Clinical applications · 2022Trial
- Integrative phenotyping of glycemic responders upon clinical weight loss using multi-omics.Scientific reports · 2020Trial
- Proteomic profiles before and during weight loss: Results from randomized trial of dietary intervention.Scientific reports · 2020Trial
- Proteogenomics in human populations.Nature reviews. Genetics · 2026Review
- Diet-responsive proteogenomic effects following short-term restriction of animal products in humans.Nature communications · 2026Article
- Non-invasive epigenetic protein signatures associated with childhood obesity.Clinical epigenetics · 2026Article
- CSF proteomic quantitative trait loci mapping reveals genetic insights into Alzheimer's disease.Molecular neurodegeneration advances · 2026Article
- FADS2 and ALDOC as potential adipose tissue biomarkers in obesity: responses to low-calorie diet-feeding.Journal of translational medicine · 2025Article
- TENT5A-associated osteogenesis imperfecta: long-term follow-up and molecular insights.JBMR plus · 2025Article
- Article
- TENT5A Increases Glioma Malignancy and Promotes its Progression.Recent patents on anti-cancer drug discovery · 2025Article
- Proteomic Risk Score of Increased Respiratory Susceptibility: A Multicohort Study.American journal of respiratory and critical care medicine · 2025Article
- TENT5A mediates the cancer-inhibiting effects of EGR1 by suppressing the protein stability of RPL35 in hepatocellular carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2024Article
- Connecting dementia risk loci to the CSF proteome identifies pathophysiological leads for dementia.Brain : a journal of neurology · 2024Article
- Profound perturbations are found in the proteome and metabolome in children with obesity after weight loss intervention.Heliyon · 2024Article
- Proteomic analysis of cardiorespiratory fitness for prediction of mortality and multisystem disease risks.Nature medicine · 2024Article
- ATRX guards against aberrant differentiation in mesenchymal progenitor cells.Nucleic acids research · 2024Article
- Identification of an Allele-Specific Transcription Factor Binding Interaction that May Regulate PLA2G2A Gene Expression.Bioinformatics and biology insights · 2024Article
- Longitudinal multi-omics study reveals common etiology underlying association between plasma proteome and BMI trajectories in adolescent and young adult twins.BMC medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thousands of genetic variants have been associated with complex traits through genome-wide association studies. However, the functional variants or mechanistic consequences remain elusive. Intermediate traits such as gene expression or protein levels are good proxies of the metabolic state of an organism. Proteome analysis especially can provide new insights into the molecular mechanisms of complex traits like obesity. The role of genetic variation in determining protein level variation has not been assessed in obesity. To address this, we design a large-scale protein quantitative trait locus (pQTL) analysis based on a set of 1129 proteins from 494 obese subjects before and after a weight loss intervention. This reveals 55 BMI-associated cis-pQTLs and trans-pQTLs at baseline and 3 trans-pQTLs after the intervention. We provide evidence for distinct genetic mechanisms regulating BMI-associated proteins before and after weight loss. Finally, by functional analysis, we identify and validate FAM46A as a trans regulator for leptin.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.