Observational studyJournal of proteome research2017
Proteomic Analysis, Immune Dysregulation, and Pathway Interconnections with Obesity.
Observational study in Journal of proteome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- Proteomic Analysis of Plasma Reveals Fat Mass Influences Cancer-Related Pathways in Healthy Humans Fed Controlled Diets Differing in Glycemic Load.Cancer prevention research (Philadelphia, Pa.) · 2019Trial
- Exploratory plasma proteomic analysis in a randomized crossover trial of aspirin among healthy men and women.PloS one · 2017Trial
- PBMC proteome is altered in children with high body fat percentage.Scientific reports · 2025Article
- Proteomic associations with fluctuation and long-term changes in BMI: A 40-year follow-up study.Diabetes, obesity & metabolism · 2025Article
- From Menopause to Molecular Dysregulation: Proteomic Insights into Obesity-Related Pathways-A Narrative Review.Biomedicines · 2025Review
- Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort.Diabetes, obesity & metabolism · 2025Article
- Plasma N-Glycoproteomics in monozygotic twin pairs discordant for body mass index reveals an obesity signature related to inflammation and iron metabolism.Biology direct · 2025Article
- Skincare Benefits of a Postbiotic Ferment Produced Through Djon Djon Mushroom Fermentation by Saccharomyces.Journal of cosmetic dermatology · 2025Article
- Navigating the Proteomic Landscape of Menopause: A Review.Medicina (Kaunas, Lithuania) · 2024Review
- Multi-omics approaches for precision obesity management : Potentials and limitations of omics in precision prevention, treatment and risk reduction of obesity.Wiener klinische Wochenschrift · 2023Review
- A Final Frontier in Environment-Genome Interactions? Integrated, Multi-Omic Approaches to Predictions of Non-Communicable Disease Risk.Frontiers in genetics · 2022Review
- Early triggers of moderately high-fat diet-induced kidney damage.Physiological reports · 2021Article
- Omics Biomarkers in Obesity: Novel Etiological Insights and Targets for Precision Prevention.Current obesity reports · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Proteomic studies can offer information on hundreds to thousands of proteins and potentially provide researchers with a comprehensive understanding of signaling response during stress and disease. Large data sets, such as those obtained in high-dimensional proteomic studies, can be leveraged for pathway analysis to discover or describe the biological implications of clinical disease states. Obesity is a worldwide epidemic that is considered a risk factor for numerous other diseases. We performed analysis on plasma proteomic data from 3 separate sample sets of postmenopausal women to identify the pathways that are altered in subjects with a high body mass index (BMI) compared to normal BMI. We found many pathways consistently and significantly associated with inflammation dysregulated in plasma from obese/overweight subjects compared to plasma from normal BMI subjects. These pathways indicate alterations of soluble inflammatory regulators, cellular stress, and metabolic dysregulation. Our results highlight the importance of high-dimensional pathway analysis in complex diseases as well as provide information on the interconnections between pathways that are dysregulated with obesity. Specifically, overlap of obesity related pathways with those activated during cancer and infection could help describe why obesity is a risk factor for disease and help devise treatment options that mitigate its effect.
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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.