Trial reportInternational journal of molecular sciences2020
Evaluation of Transcriptomic Regulations behind Metabolic Syndrome in Obese and Lean Subjects.
Trial report in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03792685 (Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes), which is not on this map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes
Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Multiomics unravels the complexity of male obesity: a prospective observational study.Journal of translational medicine · 2025Observational
- Transcriptomic Profiles and Functional Correlates of Cancer-Related Fatigue: A Cross-Sectional Study in Women Undergoing Cancer Treatment.European journal of cancer care · 2025Article
- Identification of potential crucial genes and mechanisms associated with metabolically unhealthy obesity based on the gene expression profile.Frontiers in genetics · 2025Article
- Dysregulation of c-Jun (JUN) and FBJ murine osteosarcoma viral oncogene homolog B (FOSB) in obese people and their predictive values for metabolic syndrome.Endocrine journal · 2024Article
- Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study.European journal of human genetics : EJHG · 2024Article
- Burden of cardiometabolic risk factors and vascular health.American heart journal · 2024Article
- The Skeletal Muscle Transcriptome Profile of Elderly Men with Metabolic Syndrome Based on Weighted Gene Co-Expression Network Analysis.Obesity facts · 2023Article
- Article
- An obesogenic feedforward loop involving PPARγ, acyl-CoA binding protein and GABACell death & disease · 2022Article
- Exploration of the Mechanism of Linoleic Acid Metabolism Dysregulation in Metabolic Syndrome.Genetics research · 2022Article
- LncRNA functional annotation with improved false discovery rate achieved by disease associations.Computational and structural biotechnology journal · 2022Article
- A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.Bioengineered · 2021Article
- Use of human PBMC to analyse the impact of obesity on lipid metabolism and metabolic status: a proof-of-concept pilot study.Scientific reports · 2021Article
- Obesity, metabolic health and omics: Current status and future directions.World journal of diabetes · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
Multiple mechanisms have been suggested to confer to the pathophysiology of metabolic syndrome (MetS), however despite great interest from the scientific community, the exact contribution of each of MetS risk factors still remains unclear. The present study aimed to investigate molecular signatures in peripheral blood of individuals affected by MetS and different degrees of obesity. Metabolic health of 1204 individuals from 1000PLUS cohort was assessed, and 32 subjects were recruited to four study groups: MetS lean, MetS obese, "healthy obese", and healthy lean. Whole-blood transcriptome next generation sequencing with functional data analysis were carried out. MetS obese and MetS lean study participants showed the upregulation of genes involved in inflammation and coagulation processes: granulocyte adhesion and diapedesis (
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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.