Anti-renal amyloidosis potential of rosemary extract: A multidimensional mechanistic study

Abstract Objectives Amyloid protein buildup in the kidneys leads to renal amyloidosis (RA), which impairs kidney function and often progresses to end-stage renal disease. The underlying mechanisms are not fully understood, and effective treatments are lacking. Rosemary (Rosmarinus officinalis L.), an edible spice and medicinal herb, has demonstrated promising renal protective effects in recent years. Nevertheless, further investigation is needed to determine its effect on RA. Materials and methods A lysozyme amyloid-like fibril model (M-LYSO) was added to MES13 cell cultures or administered intravenously to C57BL/6 mice to mimic the pathological microenvironment of amyloidosis. Spectroscopic, histological, and molecular mechanistic analyses were performed to evaluate the modulatory effects of rosemary ethanol extract (REE) on RA using both in vitro and in vivo models. Results Spectroscopic analysis revealed that REE disrupted amyloid fibril structures and reduced the aggregation propensity of amyloid proteins. In vitro and in vivo studies have shown that REE alleviated cellular damage to MES13 cells by improving subcellular function. It restored calcium homeostasis and eliminated reactive oxygen species, which inhibited the PERK/ATF-4/CHOP endoplasmic reticulum stress pathway and the apoptosis pathway. Continuous oral administration of REE at doses of 100 and 200 mg/kg for 8 weeks significantly mitigated pathological changes in renal tissues and restored kidney function in the RA model. Conclusions These findings suggest that rosemary is a promising candidate for adjuvant therapy for RA.

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Publication Details

Journal
Food Quality and Safety
Published
2025-10-19
DOI
https://doi.org/10.1093/fqsafe/fyaf055
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50

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article

Anti-renal amyloidosis potential of rosemary extract: A multidimensional mechanistic study

Pei‐Hui Wang, Lijian Cui, Changxin Ye, Gangqiang Liu et al.
1 citations
Food Quality and Safety
Computational Drug Discovery Methods
1.50
article

Anti-renal amyloidosis potential of rosemary extract: A multidimensional mechanistic study

Pei‐Hui Wang, Lijian Cui, Changxin Ye, Gangqiang Liu, Tianyou Li, Susan Liu, Yan Zhang, Yun Huang, Ziyi Tang, Guirong Borijihan
article en
1 citations

Abstract

Abstract Objectives Amyloid protein buildup in the kidneys leads to renal amyloidosis (RA), which impairs kidney function and often progresses to end-stage renal disease. The underlying mechanisms are not fully understood, and effective treatments are lacking. Rosemary (Rosmarinus officinalis L.), an edible spice and medicinal herb, has demonstrated promising renal protective effects in recent years. Nevertheless, further investigation is needed to determine its effect on RA. Materials and methods A lysozyme amyloid-like fibril model (M-LYSO) was added to MES13 cell cultures or administered intravenously to C57BL/6 mice to mimic the pathological microenvironment of amyloidosis. Spectroscopic, histological, and molecular mechanistic analyses were performed to evaluate the modulatory effects of rosemary ethanol extract (REE) on RA using both in vitro and in vivo models. Results Spectroscopic analysis revealed that REE disrupted amyloid fibril structures and reduced the aggregation propensity of amyloid proteins. In vitro and in vivo studies have shown that REE alleviated cellular damage to MES13 cells by improving subcellular function. It restored calcium homeostasis and eliminated reactive oxygen species, which inhibited the PERK/ATF-4/CHOP endoplasmic reticulum stress pathway and the apoptosis pathway. Continuous oral administration of REE at doses of 100 and 200 mg/kg for 8 weeks significantly mitigated pathological changes in renal tissues and restored kidney function in the RA model. Conclusions These findings suggest that rosemary is a promising candidate for adjuvant therapy for RA.

Food Quality and SafetyVol. 10
Hebei Medical University (CN), Hohhot Minzu College (CN), Hebei Food Inspection and Research Institute (CN), Hebei University of Chinese Medicine (CN), Shanxi Jincheng Anthracite Mining Group (China) (CN)
Natural Science Foundation of Hebei Province, Hebei Medical University
Openalex Percentile: Top 12%
Computational Drug Discovery Methods
1.50
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