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Integrative Evidence on Mulberry Extract for Modulating Metabolic Risk Factors Associated with Vascular Dementia

Yu JT, Li CP, Hsiao Y, Cheng KP, Tsai RY

International journal of molecular sciences, 2025

1,202 participants

Abstract

Metabolic syndrome refers to a group of conditions that commonly occur together, including abdominal obesity, high blood pressure, elevated blood sugar, high triglyceride levels, and low high-density lipoprotein cholesterol (HDL). These factors collectively increase the risk of cardiovascular disease, diabetes, and cognitive impairment. Recent research has identified a connection between metabolic syndrome and cognitive disorders such as mild cognitive impairment and vascular dementia (VaD). Mulberry (Morus alba L.) is a natural source of bioactive compounds with antioxidant, anti-inflammatory, and lipid-regulating properties. This meta-analysis assessed the potential of mulberry extract as an adjunctive treatment for metabolic risk factors linked to vascular dementia. We systematically reviewed randomized controlled trials (RCTs) published up to May 2025 that compared mulberry extract to placebo or standard care in adults with metabolic disorders. Fifteen trials including 1202 participants met the inclusion criteria. The primary outcomes were fasting glucose, fasting insulin, liver enzyme levels, lipid profiles, and inflammatory markers such as tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and high-sensitivity C-reactive protein (hs-CRP). The pooled results indicated that mulberry supplementation improved blood sugar control and lowered total cholesterol, low-density lipoprotein cholesterol (LDL), triglycerides, fasting blood glucose, glycosylated hemoglobin…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 1,202 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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