ReviewWiener klinische Wochenschrift2023
Multi-omics approaches for precision obesity management : Potentials and limitations of omics in precision prevention, treatment and risk reduction of obesity.
Review in Wiener klinische Wochenschrift, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 22 citations in OpenAlex.
- Combination Pharmacotherapies for Obesity-Current Evidence and Future Directions.Endocrinology, diabetes & metabolism · 2026Review
- Precision medicine in low-income settings and small island developing states.Nature reviews. Endocrinology · 2026Review
- Beyond One-Size-Fits-All: Individually Tailored Dietary Interventions in Modern Obesity Care.Nutrients · 2026Review
- Therapeutic Potential of Anti-Obesity Drugs in Obesity-Associated Female Reproductive Dysfunction: Translating Mechanistic Evidence into Personalized Clinical Strategies.Medicina (Kaunas, Lithuania) · 2026Review
- Palmitic acid-induced autolysosomal dysfunction and lipotoxicity in neuroinflammation and neurodegeneration.Neural regeneration research · 2026Article
- Peptide Hormones in Appetite Regulation: A Complex Network.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Insulin Resistance as a Systemic Metabolic Risk State for Cancer: Mechanisms, Biomarkers, and Prevention.International journal of molecular sciences · 2026Review
- Mediterranean Diet Can Reduce Fat Accumulation and Obesity Progression Through Action of Plant Bioactive Molecules.International journal of molecular sciences · 2026Review
- Multimodal (Bio)Markers and Risk of Obesity - A Comprehensive Scoping Review.Advances in nutrition (Bethesda, Md.) · 2026Article
- Artificial intelligence in obesity management: clinical evidence, translational gaps, and implementation priorities-a structured narrative review.Frontiers in endocrinology · 2026Review
- Advancing Precision Diagnosis of Sarcopenic Obesity Through Digital Technologies, Wearables and Omics Data.Life (Basel, Switzerland) · 2025Review
- The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Beyond BMI: Rethinking Obesity Metrics and Cardiovascular Risk in the Era of Precision Medicine.Diagnostics (Basel, Switzerland) · 2025Review
- Nutrigenomics meets multi-omics: integrating genetic, metabolic, and microbiome data for personalized nutrition strategies.Genes & nutrition · 2025Review
- Multimodal and Multidimensional Artificial Intelligence Technology in Obesity.Journal of obesity & metabolic syndrome · 2025Review
- Zinc as a Modulator of miRNA Signaling in Obesity.Nutrients · 2025Review
- Metaflammation's Role in Systemic Dysfunction in Obesity: A Comprehensive Review.International journal of molecular sciences · 2025Review
- Unraveling the Complexity of Metabolic Disorders Through Biomarkers: A Focus on Obesity and Type 2 Diabetes Mellitus.Biomedicines · 2025Article
- Precision Medicine for Obesity Treatment.Journal of the Endocrine Society · 2025Review
- Integrating Precision Medicine and Digital Health in Personalized Weight Management: The Central Role of Nutrition.Nutrients · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionObesity is a multifactorial chronic disease that cannot be addressed by simply promoting better diets and more physical activity. To date, not a single country has successfully been able to curb the accumulating burden of obesity. One explanation for the lack of progress is that lifestyle intervention programs are traditionally implemented without a comprehensive evaluation of an individual's diagnostic biomarkers. Evidence from genome-wide association studies highlight the importance of genetic and epigenetic factors in the development of obesity and how they in turn affect the transcriptome, metabolites, microbiomes, and proteomes.
objectiveThe purpose of this review is to provide an overview of the different types of omics data: genomics, epigenomics, transcriptomics, proteomics, metabolomics and illustrate how a multi-omics approach can be fundamental for the implementation of precision obesity management.
resultsThe different types of omics designs are grouped into two categories, the genotype approach and the phenotype approach. When applied to obesity prevention and management, each omics type could potentially help to detect specific biomarkers in people with risk profiles and guide healthcare professionals and decision makers in developing individualized treatment plans according to the needs of the individual before the onset of obesity.
conclusionIntegrating multi-omics approaches will enable a paradigm shift from the one size fits all approach towards precision obesity management, i.e. (1) precision prevention of the onset of obesity, (2) precision medicine and tailored treatment of obesity, and (3) precision risk reduction and prevention of secondary diseases related to obesity.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.