Evidence map›Paper›PMID 40970224›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Astragaloside IV Improves Cognitive Impairment by Reducing β-Amyloid and Tau Protein Deposition in Hippocampal Tissue of db/db Mice: A PET/CT Imaging-Based Study.

Lei Jiang, Yanchao Lu, Pei Yin, Dan Liu, Chengshuo Duan, Yong Wang

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. International journal of molecular sciences · 2026
    Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Lei Jiang *Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yanchao Lu *Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Pei YinDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Dan LiuDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Chengshuo DuanDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yong WangDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Diabetic Cognitive Impairment is a frequent diabetes complication with few treatments. Astragaloside IV (AS-IV), a lanosterol-derived saponin, shows significant neuroprotection. This study used PET/CT to assess the effects of AS-IV on β-amyloid (Aβ) and tau protein buildup in the hippocampus of db/db mice and to investigate the underlying mechanisms involved. Methods: Eighteen diabetic db/db mice were divided into three groups: a model group, and two treatment groups receiving AS-IV at 20 mg/kg and 40 mg/kg (n=6 each). A control group of db/m mice (n=6) was also included. Treated mice were administered AS-IV daily, while the model and control groups were administered saline for eight weeks. Biweekly, mice were assessed for body weight and fasting blood glucose. Insulin sensitivity was tested using the OGTT, and cognitive function was evaluated with the MWM. Aβ deposition was observed with Results: The study found that AS-IV reduced weight gain ( Conclusion: This study found that AS-IV improved cognitive function in diabetic db/db mice by reducing the buildup of Aβ and tau proteins in the hippocampus via the TNF-α-activated EGFR/NF-κB pathway.

Indexed as

astragaloside IVdiabetic cognitive impairmentin vivoPET-CTtau proteinβ-amyloid

Identifiers

PMID40970224
PMCPMC12442921

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.