Evidence map›Paper›PMID 39754768›Full record

ReviewCurrent pharmaceutical design2025

Exploring the Therapeutic Potential of Natural Plants in Modulating Molecular and Cellular Pathways Involved in Diabetic Neuropathy: Mechanism and Biochemical Evaluation.

Zeeshan Ali, Uma Bhandari

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pharmaceutical design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Zeeshan AliDepartment of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India.
Uma BhandariDepartment of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic neuropathy (DN) is a widespread and severely debilitating consequence of diabetes mellitus that impairs function, causes discomfort, and damages peripheral nerves. Numerous molecular pathways are involved in the pathogenesis of DN, including cyclooxygenase, polyol, protein kinase C, and inflammatory pathways. These molecular pathways may be responsible for the mechanism behind the onset and development of DN. The metabolic profile can be evaluated by examining the molecular mechanisms that connect diabetes to certain biochemical indicators. Historically, the use of plants and herbs as medicine has been highly valued in many populations. These traditional sources, either alone or in combination with contemporary drugs, are being studied by modern medicine for their potential applications in managing and treating diabetic neuropathy. The efficacy and potential negative effects of an herb are largely dependent on its purity and provenance. Rich supplies of bioactive chemicals with particular pharmacological qualities that don't have negative side effects can be found in many plants. Some phytoconstituents with antidiabetic properties are found in medicinal plants, including terpenoids, saponins, flavonoids or carotenoids, alkaloids, and glycosides. We conclude with the statement that developing novel therapeutic procedures for the therapy of DN would be aided by the effective manipulation of common molecular pathways.

Indexed as

Biological ProductsDiabetic NeuropathiesHypoglycemic AgentsPhytotherapyPlant ExtractsPlants, MedicinalAnimalsHumansBiological ProductsHypoglycemic AgentsPlant Extractsbiochemical parameter.diabetesdiabetic neuropathymolecular pathwaysNaturalplants/phytoconstituents

Identifiers

PMID39754768

What OpenQuestion holds

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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.