Klotho, Kidneys, and Micronutrient Signaling: A Promising Paradigm for Healthy Aging
Bibliographic record
Abstract
BACKGROUND: Klotho, a transmembrane protein with pleiotropic antiaging properties, is increasingly recognized as a central regulator of longevity and metabolic resilience. Primarily expressed in the kidneys and brain, Klotho governs phosphate and calcium homeostasis, modulates redox signaling, and influences key metabolic pathways, including PI3K/AKT and IGF-1. Declining Klotho expression is associated with both biological and chronological aging and has been mechanistically implicated in the pathogenesis of chronic kidney disease, cardiovascular disease, neurodegeneration, and metabolic dysfunction. SUMMARY: Klotho expression is modifiable through diet, in preclinical and observational studies, offering a promising avenue for delaying cellular aging and preserving physiological function. Micronutrients such as magnesium, vitamin D, folate, and vitamin B12, as well as phytochemicals including sulforaphane and curcumin, have been shown to modulate Klotho expression through redox-sensitive and transcriptional mechanisms. Macronutrient balance, particularly carbohydrate quality and saturated fat intake, also plays a critical role in maintaining Klotho activity via insulin sensitivity, mitochondrial integrity, and inflammatory signaling. Inflammatory dietary profiles, quantified through tools such as the Dietary Inflammatory Index (DII), have been inversely associated with serum α-Klotho concentrations and biological age acceleration. This review critically synthesizes current knowledge on nutrient-specific and dietary pattern-level influences on Klotho, with emphasis on antioxidant, anti-inflammatory, and epigenetically active compounds. In parallel, the Klotho-FGF23 axis is examined regarding dietary calcium and phosphate regulation, highlighting the distinct effects of whole food-derived versus supplemental calcium on mineral metabolism and vascular health. KEY MESSAGES: Klotho emerges as a potential modifiable determinant with current limitations as a potential biomarker within precision nutrition strategies aimed at extending health span and attenuating age-related disease risk. Key concepts discussed include dietary factors in Klotho modulation and chronic disease prevention. Opportunities and limitations of soluble Klotho as a multifaceted biomarker of human health and longevity are highlighted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".