High-fat diet score reveals total and cardiovascular mortality and identifies protein biomarkers in large cohorts

These findings establish a precision nutrition framework that links HFD patterns, proteomic biomarkers, and mortality outcomes, offering actionable insights for clinical and public health intervention.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research
Published
2026-01-01
DOI
https://doi.org/10.1016/j.jare.2026.01.016
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-fat diet score reveals total and cardiovascular mortality and identifies protein biomarkers in large cohorts

Shanpeng Liu, Chenyu Hou, Xiangju Kong, Xiaomin Li et al.
Journal of Advanced Research
Nutritional Studies and Diet
article

High-fat diet score reveals total and cardiovascular mortality and identifies protein biomarkers in large cohorts

Shanpeng Liu, Chenyu Hou, Xiangju Kong, Xiaomin Li, Changhao Sun, Shali Cui, Songliu Hu, Yue Guan, Yucun Niu, Xuan Zhu
article en

Abstract

These findings establish a precision nutrition framework that links HFD patterns, proteomic biomarkers, and mortality outcomes, offering actionable insights for clinical and public health intervention.

Journal of Advanced Research
Harbin Medical University (CN), Capital Medical University (CN), Third Affiliated Hospital of Harbin Medical University (CN), First Affiliated Hospital of Harbin Medical University (CN)
Zero hunger
Openalex Percentile: Top 96%
Nutritional Studies and Diet
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.