A transdisciplinary framework for managing metabolic dysfunction associated steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly emerging as a public health issue across the globe. Its complex etiopathology and association with diverse comorbidities poses significant challenges to conventional pharmacological drugs derived from the "<i>lock-and-key</i>" paradigm of pharmacology. To overcome the challenges of complexity and non-linear dynamics underlying the disease biology of MASLD, this article proposes a transdisciplinary framework combining holistic disease management principles of traditional medicines with molecular precision of modern biomedicine. <i>Ayurveda</i> - an exceptionally designed and widely practiced Indian Systems of Medicine (ISM) - is explored as a representative model for this framework. This article outlines a unified, biologically plausible transdisciplinary approach incorporating dual-diagnostic workflows, integrative decision interface, and stage-adaptive management algorithm for prevention, early intervention, and advanced disease care. The framework emphasizes integrative and personalized strategies integrating nutrition, lifestyle modification and drug interventions, harnessing the molecular precision of biomedicine alongside the systemic effects of phytochemical diversity. The transdisciplinary model seeks to shift the focus from 'disease treatment' to 'health restoration' and long-term wellness. The article highlights the scopes and challenges of this framework to offer more comprehensive, sustainable, and patient-centred solutions for MASLD.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2026-02-24
DOI
https://doi.org/10.3389/fphar.2026.1767844
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A transdisciplinary framework for managing metabolic dysfunction associated steatotic liver disease

Arun Bhanu, Sania Kouser, Subrahmanya Kumar Kukkupuni, Sanketh V Sharma et al.
Frontiers in Pharmacology
Liver Disease Diagnosis and Treatment
article

A transdisciplinary framework for managing metabolic dysfunction associated steatotic liver disease

Arun Bhanu, Sania Kouser, Subrahmanya Kumar Kukkupuni, Sanketh V Sharma, Chethala N. Vishnuprasad
article en

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly emerging as a public health issue across the globe. Its complex etiopathology and association with diverse comorbidities poses significant challenges to conventional pharmacological drugs derived from the "<i>lock-and-key</i>" paradigm of pharmacology. To overcome the challenges of complexity and non-linear dynamics underlying the disease biology of MASLD, this article proposes a transdisciplinary framework combining holistic disease management principles of traditional medicines with molecular precision of modern biomedicine. <i>Ayurveda</i> - an exceptionally designed and widely practiced Indian Systems of Medicine (ISM) - is explored as a representative model for this framework. This article outlines a unified, biologically plausible transdisciplinary approach incorporating dual-diagnostic workflows, integrative decision interface, and stage-adaptive management algorithm for prevention, early intervention, and advanced disease care. The framework emphasizes integrative and personalized strategies integrating nutrition, lifestyle modification and drug interventions, harnessing the molecular precision of biomedicine alongside the systemic effects of phytochemical diversity. The transdisciplinary model seeks to shift the focus from 'disease treatment' to 'health restoration' and long-term wellness. The article highlights the scopes and challenges of this framework to offer more comprehensive, sustainable, and patient-centred solutions for MASLD.

Frontiers in PharmacologyVol. 17
National Institute of Advanced Studies (IN), University of Trans-Disciplinary Health Sciences and Technology (IN)
Indian Council of Medical Research
Openalex Percentile: Top 45%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.