The Zedselkoush Theory a New Paradigm for Personalized Clinical Nutrition Through Dynamic Nutrient Allocation and Circulating Blood Biomarkers

Conventional clinical nutrition primarily estimates energy requirements using demographic and anthropometric variables such as age, sex, body weight, and height. However, these approaches may not adequately reflect the dynamic physiological and metabolic changes associated with disease, contributing to substantial variability in individual nutritional responses. This paper introduces The Zedselkoush Theory, a novel conceptual framework proposing that the effectiveness of nutritional therapy is influenced not only by nutrient intake but also by dynamic nutrient allocation, tissue priority, and circulating blood biomarkers, which collectively reflect the body's current metabolic state. The theory suggests that blood can serve as a real-time indicator of metabolic adaptation and may contribute to a more personalized estimation of energy requirements and nutritional interventions. The proposed framework integrates these physiological components into a unified model and presents a preliminary mathematical concept to support future hypothesis generation. Potential applications include chronic kidney disease, diabetes, obesity, critical care, and other conditions characterized by altered metabolism. Rather than presenting a clinically validated model, this work establishes a theoretical foundation intended to guide future experimental and clinical research. Ultimately, The Zedselkoush Theory offers a new perspective on precision clinical nutrition by emphasizing individualized metabolic assessment beyond conventional calorie-based approaches.

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Publication Details

Published
2026-10-09
DOI
https://doi.org/10.11648/j.sdnutr.20260101.14
Primary Topic
Clinical Nutrition and Gastroenterology
Type
article
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article

The Zedselkoush Theory a New Paradigm for Personalized Clinical Nutrition Through Dynamic Nutrient Allocation and Circulating Blood Biomarkers

Mohamed Elkoush
Clinical Nutrition and Gastroenterology
article

The Zedselkoush Theory a New Paradigm for Personalized Clinical Nutrition Through Dynamic Nutrient Allocation and Circulating Blood Biomarkers

Mohamed Elkoush
article en

Abstract

Conventional clinical nutrition primarily estimates energy requirements using demographic and anthropometric variables such as age, sex, body weight, and height. However, these approaches may not adequately reflect the dynamic physiological and metabolic changes associated with disease, contributing to substantial variability in individual nutritional responses. This paper introduces The Zedselkoush Theory, a novel conceptual framework proposing that the effectiveness of nutritional therapy is influenced not only by nutrient intake but also by dynamic nutrient allocation, tissue priority, and circulating blood biomarkers, which collectively reflect the body's current metabolic state. The theory suggests that blood can serve as a real-time indicator of metabolic adaptation and may contribute to a more personalized estimation of energy requirements and nutritional interventions. The proposed framework integrates these physiological components into a unified model and presents a preliminary mathematical concept to support future hypothesis generation. Potential applications include chronic kidney disease, diabetes, obesity, critical care, and other conditions characterized by altered metabolism. Rather than presenting a clinically validated model, this work establishes a theoretical foundation intended to guide future experimental and clinical research. Ultimately, The Zedselkoush Theory offers a new perspective on precision clinical nutrition by emphasizing individualized metabolic assessment beyond conventional calorie-based approaches.

Vol. 1(1)
Openalex Percentile: Top 13%
Clinical Nutrition and Gastroenterology
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The Zedselkoush Theory a New Paradigm for Personalized Clinical Nutrition Through Dynamic Nutrient Allocation and Circulating Blood Biomarkers — Mohamed Elkoush · (2026) | TGRS Research Map | TGRS