Evidence map›Paper›PMID 41696300›Full record

ArticleACS omega2026

Galantamine-Escitalopram Combination Therapy in Alzheimer's Comorbid Depression Model in Mice: Role of BDNF/KYN Pathways, Neuroinflammation, and Oxidative Stress.

Shivanshu Bajaj, Radhakrishnan Mahesh

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Shivanshu BajajDepartment of Pharmacy, Birla Institute of Technology & Science (BITS), Pilani Campus, Pilani, Rajasthan 333031, India.ORCID https://orcid.org/0000-0001-6096-7764
Radhakrishnan MaheshDepartment of Pharmacy, Birla Institute of Technology & Science (BITS), Pilani Campus, Pilani, Rajasthan 333031, India.ORCID https://orcid.org/0000-0002-8904-3845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most prevalent form of dementia, accounting for more than two-thirds of cases in older adults. AD is associated with neuropsychiatric symptoms such as depression, anxiety, and sleep disturbances. The coexistence of AD with depression, in particular, poses serious challenges and often results in suboptimal outcomes with conventional therapies. The present study therefore aimed to investigate the therapeutic potential of escitalopram (ESC; SSRI) in combination with galantamine (GAL; AChE inhibitor) on key pathological pathways, including the neurotrophic system, hypothalamic-pituitary-adrenal (HPA) axis, kynurenine pathway, inflammation, and oxidative stress, in an animal model of AD comorbid with depression. Swiss albino mice were subjected to chronic mild stress (CMS) for 21 days and received intrahippocampal administration of amyloid-β peptide to mimic AD-depression comorbidity. Subsequently, ESC (10 mg/kg) combined with GAL (5 mg/kg) was administered orally for 20 days alongside the CMS protocol, followed by behavioral, biochemical, and histopathological assessments. The combined GAL + ESC treatment significantly alleviated depressive symptoms and improved working and spatial memory in CMS and amyloid-β-exposed mice. Furthermore, the therapy normalized hippocampal levels of BDNF, proinflammatory cytokines (IL-6, TNF-α), kynurenine metabolites (3-HK, QUIN), and oxidative stress markers toward those observed in the sham group. Histopathological analysis further confirmed the preservation of hippocampal integrity with combined therapy. Overall, the findings highlight the potential of ESC as an adjunct to GAL in ameliorating depressive symptoms and cognitive deficits, underscoring its promise for further clinical evaluation in the management of AD comorbid with depression.

Identifiers

PMID41696300
PMCPMC12902959

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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.