ArticleThe Journal of international medical research2022
Inflammatory biomarkers, multi-morbidity, and biologic aging.
Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- The effect of acarbose on inflammatory cytokines and adipokines in adults: a systematic review and meta-analysis of randomized clinical trials.Inflammopharmacology · 2024Pooled it
- Relationship between socioeconomic inequality and multimorbidity progression in UK Biobank data.Communications medicine · 2026Article
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Proteomics of aging: biomarkers for physiological systems and diseases.Frontiers in aging · 2026Review
- Boosting Immunity Through Nutrition and Gut Health: A Narrative Review on Managing Allergies and Multimorbidity.Nutrients · 2025Review
- Baicalin improves isoproterenol-induced cardiac remodeling by regulating the Nrf2-dependent signaling pathway.BMC cardiovascular disorders · 2024Article
- Chronic inflammation and the hallmarks of aging.Molecular metabolism · 2023Review
- A hypothesis - generating Swedish extended national cross-sectional family study of multimorbidity severity and venous thromboembolism.BMJ open · 2023Article
- Article
- Recent clinical trials with stem cells to slow or reverse normal aging processes.Frontiers in aging · 2023Review
- Sex differences in the impact of frailty in elderly outpatients with heart failure.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesTo study the association between multi-morbidity percentiles, which is a measure of clinical aging, and interleukin (IL)-6, IL-10, and tumor necrosis factor (TNF)-α.
methodsParticipants 50 to 95 years of age from the Mayo Clinic Study of Aging were assigned age- and sex-specific multi-morbidity percentiles using look-up tables that were reported previously (n = 1646). Percentiles were divided into quintiles for analysis. Plasma IL-6, IL-10, and TNF-α levels were measured in 1595 participants. Median inflammatory marker levels were compared across multi-morbidity quintiles using nonparametric tests.
resultsPeople with higher multi-morbidity percentiles had significantly higher IL-6 and TNF-α levels compared with those with lower multi-morbidity percentiles. Tests for trend across five multi-morbidity quintiles were significant among women for IL-6 and among participants 70 years of age or older for IL-6 and TNF-α. IL-10 was not associated with multi-morbidity percentiles.
conclusionsMulti-morbidity percentiles may be a useful clinical index of biological age for future studies, particularly in women and people 70 years of age and older.
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What OpenQuestion 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 OpenQuestion graph.