Evidence map›Paper›PMID 40511089›Full record

ReviewJournal of pharmacy & bioallied sciences2025

A Review Article on Oxidative Stress Markers F2-Isoprostanes and Presenilin-1 in Alzheimer's Disease.

Dilip Raj Timalsina, Leela Abichandani, Ranjit Ambad

Abstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dilip Raj TimalsinaDepartment of Biochemistry, Datta Meghe Medical College, Nagpur, Datta Meghe Institute of Higher Education and Research (DU) Sawangi, Wardha, Maharashtra, India.
Leela AbichandaniDepartment of Biochemistry, Datta Meghe Medical College, Nagpur, Datta Meghe Institute of Higher Education and Research (DU) Sawangi, Wardha, Maharashtra, India.
Ranjit AmbadDepartment of Biochemistry, Jawaharlal Nehru Medical College, Wardha, Datta Meghe Institute of Higher Education and Research (DU) Sawangi, Wardha, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid-beta plaque and tau tangle buildup lead to Alzheimer's disease (AD), a brain disorder that causes ongoing mental decline. More and more studies show that oxidative stress plays a crucial role in how AD develops and progresses. This review focuses on presenilin-1 (PSEN1) and F2-isoprostanes, two key indicators of oxidative stress. F2-isoprostanes, which come from damaged fats, appear in much higher levels in people with AD. These substances link to more brain inflammation, nerve cell death, and problems with thinking and memory. Processing of the amyloid precursor protein is dependent on presenilin-1, one of the main components of the γ-secretase complex. It has been shown that mutations in PSEN1, an important gene for familial AD, augment oxidative stress and malfunction of mitochondria, which further aggravates neuronal damage. In this article, the role of F2-isoprostanes and PSEN1 in oxidative stress pathways leading to AD and how their interaction makes the disease worse has been investigated. The contribution of presenilin-1 (PSEN1) and oxidative stress markers, such as F2-isoprostanes, to AD underscores a crucial link in understanding such a complex neurodegenerative pathology. F2-isoprostanes are valuable biomarkers of oxidative stress linked to the severity of illness and cognitive impairment.

Indexed as

Amyloid betafamilial Alzheimer’s diseaselipid peroxidationneuroinflammation

Identifiers

PMID40511089
PMCPMC12156751

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.