Evidence map›Paper›PMID 41614823›Full record

ArticleCurrent issues in molecular biology2025

Novel Synthetic Steroid Derivatives: Target Prediction and Biological Evaluation of Antiandrogenic Activity.

David Calderón Guzmán, Norma Osnaya Brizuela, Hugo Juárez Olguín, Maribel Ortiz Herrera, Armando Valenzuela Peraza, Ernestina Hernández Garcia, Alejandra Chávez Riveros, Sarai Calderón Morales, Alberto Rojas Ochoa, Aylin Silva Ortiz and 3 more

Abstract read
In one paragraph

Article in Current issues in molecular biology, 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

13 authors.

David Calderón GuzmánLaboratory of Neurosciences, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.
Norma Osnaya BrizuelaLaboratory of Neurosciences, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.ORCID 0000-0003-0041-3190
Hugo Juárez OlguínLaboratory of Pharmacology, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.ORCID 0000-0002-1405-1728
Maribel Ortiz HerreraLaboratory of Experimental Bacteriology, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.
Armando Valenzuela PerazaLaboratory of Neurosciences, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.
Ernestina Hernández GarciaLaboratory of Pharmacology, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.
Alejandra Chávez RiverosLaboratory of Pharmacy, Faculty of Chemist, UNAM, Mexico City 04530, Mexico.
Sarai Calderón MoralesExperimental Biology, Universidad Autónoma Metropolitana, Mexico City 04530, Mexico.
Alberto Rojas OchoaLaboratory of Experimental Oncology, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.ORCID 0000-0002-7115-9882
Aylin Silva OrtizLaboratory of Pharmacy, Faculty of Chemist, UNAM, Mexico City 04530, Mexico.
Rebeca Santes PalaciosLaboratory of Toxicology Genetics, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.ORCID 0000-0001-7310-5178
Víctor Manuel Dorado GonzalezLaboratory of Toxicology Genetics, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.
Diego García OrtegaLaboratory of Neurosciences, Instituto Nacional de Pediatria (INP), Mexico City 04530, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTwo natural steroids derived from cholesterol pathways are testosterone and progesterone, androgen and antiandrogen receptor binding. Steroid androgen antagonists can be prescribed to treat an array of diseases and disorders such as gender dysphoria. In men, androgen antagonists are frequently used to treat prostate cancer and hyperplasia. Sex hormones regulate the expression of the viral receptors in COVID-19 progression, and these hormones may act as a metabolic signal-mediating response to changes in glucose and Reactive Oxygen Species (ROS). The objective of the present study is to use artificial intelligence (AI) applications in healthcare to predict the targets and to assess biological assays of novel steroid derivatives prepared in house from the commercially available 16-dehydropregnenolone acetate (DPA

methodsA tool prediction was used as a tuned algorithm, with the novel steroid derivatives data in web interface to carry out their pharmacological evaluation. The new steroidal derivatives were determined with neuroprotection effect using the select biomarkers of oxidative stress on induced hypoglycemic male rat brain and liver. The enzyme kinetics was established by the inhibition of the 5α-reductase enzyme on the brain myelin.

resultsWe used novel chemical structures to order the information of a Swiss data bank that allow target predictions. Biological assays suggest that steroid derivatives with an electrophilic center can interact more efficiently with the 5α-reductase enzyme, and by this way, induce neuroprotection in hypoglycemia model. All compounds were synthesized with a yield of 30-80% and evaluated with tool target prediction to understand the molecular mechanisms underlying a given phenotype or bioactivity and to rationalize possible favorable or unfavorable side effects, as well as to predict off-targets of known molecules and to clear the way for drug repurposing. Apart, they turned out to be good inhibitors for the 5α-reductase enzyme.

conclusionsThe probed efficacy of these novel steroids with respect to spironolactone control appears to be a promising compound for future hormonal therapy with neuroprotection activity in glucose disorder status. However, further research with clinically meaningful endpoints is needed to optimize the use of androgen antagonists in these hormonal therapies in COVID-19 progression.

Indexed as

5α-reductase inhibitorsandrogen antagonistsantioxidantartificial intelligentmyelinneuroprotection

Identifiers

PMID41614823
PMCPMC12731702

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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.