Evidence map›Paper›PMID 40868085›Full record

ReviewBiomedicines2025

Natural Metabolites as Modulators of Sensing and Signaling Mechanisms: Unlocking Anti-Ovarian Cancer Potential.

Megha Verma, Prem Shankar Mishra, S K Abdul Rahaman, Tanya Gupta, Abid Ali Sheikh, Ashok Kumar Sah, Velilyaeva Aliya Sabrievna, Karomatov Inomdzhon Dzhuraevich, Anass M Abbas, Manar G Shalabi and 5 more

Abstract readReview
In one paragraph

Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Megha VermaSchool of Medical & Allied Sciences, Galgotias University, Greater Noida 201310, Uttar Pradesh, India.
Prem Shankar MishraFaculty of Pharmacy, Vidya University, Meerut 250002, Uttar Pradesh, India.ORCID 0000-0003-3797-1575
S K Abdul RahamanSchool of Medical & Allied Sciences, Galgotias University, Greater Noida 201310, Uttar Pradesh, India.ORCID 0000-0001-5519-9043
Tanya GuptaSchool of Medical & Allied Sciences, Galgotias University, Greater Noida 201310, Uttar Pradesh, India.ORCID 0009-0006-8697-1212
Abid Ali SheikhNational Institute of Biologicals, Noida 201309, Uttar Pradesh, India.
Ashok Kumar SahDepartment of Medical Laboratory Sciences, College of Applied and Health Sciences, A' Sharqiyah University, Ibra 400, Oman.ORCID 0000-0002-7762-4351
Velilyaeva Aliya SabrievnaDepartment of Psychiatry, Medical Psychology, and Narcology, Samarkand State Medical University, Samarkand 140104, Uzbekistan.ORCID 0009-0006-4862-0833
Karomatov Inomdzhon DzhuraevichDepartment of Folk Medicine and Professional Diseases, Bukhara State Medical Institute, Bukhara 200101, Uzbekistan.
Anass M AbbasDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72341, Saudi Arabia.ORCID 0000-0003-1566-7257
Manar G ShalabiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72341, Saudi Arabia.ORCID 0000-0003-4921-2162
Muhayyoxon KhamdamovaBukhara State Medical Institute (Abu Ali Ibn Sina), Bukhara 200118, Uzbekistan.
Baymuradov Ravshan RadjabovichDepartment of Anatomy, Clinical Anatomy (OSTA), Bukhara State Medical Institute, Bukhara 140100, Uzbekistan.
Feruza Rakhmatbayevna KarimovaDepartment of Traditional Medicine, Occupational Diseases and Allergology, Abu Ali ibn Sino Bukhara State Medical Institute, Bukhara 140100, Uzbekistan.
Ranjay Kumar ChoudharyDepartment of Medical Laboratory Technology, UIAHS, Chandigarh University, Mohali 140413, Punjab, India.ORCID 0000-0003-2801-4079
Said Al GhenaimiDepartment of Medical Laboratory Sciences, College of Applied and Health Sciences, A' Sharqiyah University, Ibra 400, Oman.ORCID 0000-0002-6117-2645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer presents significant challenges owing to its complex molecular pathways and resistance to therapy. Natural metabolites have significant medicinal potential by regulating the sensing and signaling pathways associated with cancer development. Recognizing their interactions within the tumor microenvironment may unveil innovative techniques for inhibiting malignant activities and improve therapy success. This article highlights studies regarding ovarian cancer metabolism, signaling mechanisms, and therapeutic natural substances. This study summarizes clinical and experimental results to emphasise the synergistic effects of alkaloids, flavonoids, and terpenoids in improving therapeutic effectiveness and alleviating drug resistance. Bioactive compounds are essential in regulating ovarian cancer metabolism and signaling pathways, affecting glycolysis, lipid metabolism, and the survival of tumor cells. This review examines metabolic programming and essential pathways, including glycolysis, TCA cycle, lipid metabolism, PI3K/AKT/mTOR, AMPK, and MAPK, emphasizing their therapeutic significance. The integration of metabolic treatments with medicines based on natural compounds has significant potential for enhancing treatment effectiveness and mitigating therapeutic resistance. Ovarian cancer needs an integrated strategy that includes metabolic reprogramming, signaling modulation, and drugs derived from natural products. Natural chemicals provide intriguing approaches to address chemotherapy resistance and improve treatment efficacy. Further research is required to enhance these methodologies and evaluate their practical applicability for improved patient outcomes.

Indexed as

molecular mechanismnatural metabolites (alkaloids, flavonoids, and terpenoids)ovarian cancersignaling pathways

Identifiers

PMID40868085
PMCPMC12383476

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.