Evidence map›Paper›PMID 42440248›Full record

ArticleCell biochemistry and biophysics2026

Integrated Transcriptomic Profiling and In Vitro Evaluation of Garcinia Mangostana Phytochemicals Against Cryptosporidium Parvum.

Asmaa A Abdelhafeez, Mohamed A Dkhil, Shaimaa M Kasem, Seifeldin Elabed, Felwa A Thagfan, Mohga S Abdalla

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

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

6 authors.

Asmaa A AbdelhafeezChemistry Department (Biotechnology Program), Faculty of Science, Capital University, Cairo, 11759, Egypt.
Mohamed A DkhilDepartment of Zoology and Entomology, Faculty of Science, Capital University, Cairo, 11759, Egypt.
Shaimaa M KasemZoology Department, Faculty of Science, Kafrelsheikh University, Kafr Elsheikh 33516, Kafr El Sheikh, Egypt. shymaamohamed@sci.kfs.edu.eg.ORCID http://orcid.org/0000-0002-8061-0014
Seifeldin ElabedBiotechnology and Genetic Engineering Program, Faculty of Science, Helwan National University, Helwan, 11731, Egypt.
Felwa A ThagfanDepartment of Biology, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh, 11546, Saudi Arabia.
Mohga S AbdallaDepartment of Chemistry, Faculty of Science, Capital University, Cairo, 11759, Egypt.

Funding

Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2026R96), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. PNURSP2026R96
6 · The paper itself

Abstract

Cryptosporidium parvum is a major cause of severe diarrheal disease, yet therapeutic options remain limited. This study integrated host-parasite transcriptomic profiling, GC-MS phytochemical profiling, computational screening, and in vitro experimental validation to evaluate anti-Cryptosporidium phytochemicals from Garcinia mangostana extract (GME). Host epithelial transcriptional responses (GSE2077) during C. parvum infection were analyzed to map infection-associated host reprogramming. A curated library of 30 identified phytochemicals was computationally docked against prioritized parasite-relevant targets: calcium-dependent protein kinase 1 (CDPK1), C. parvum 1-phosphatidylinositol 4-kinase [PI(4)K; cgd8_4500/UniProt Q5CVD3, AlphaFold model AF-Q5CVD3-F1], and cleavage and polyadenylation specificity factor 3 (CPSF3). The anti-Cryptosporidium efficacy of GME was subsequently evaluated in vitro by assessing C. parvum oocyst count and viability over 48 h. Transcriptomic analysis suggested a biphasic pattern of host reprogramming involving inflammatory signaling, sterol metabolism, Wnt signaling, and cell-cycle regulation. GC-MS analysis identified sterols and fatty acid derivatives, including stigmasterol, campesterol, and ethyl iso-allocholate. Molecular docking against the C. parvum PI(4)K model predicted campesterol (NP028) and ethyl iso-allocholate (NP029) as leading PI(4)K-oriented candidates, with mean affinities of - 7.97 ± 0.59 and - 7.72 ± 0.61 kcal/mol, respectively, while NP008 showed a predicted multi-target interaction profile, particularly against CPSF3. In vitro assays showed a significant, concentration- and time-dependent reduction in C. parvum oocyst viability, with an LC50 of 830 µg/mL after 48 h. Overall, the parasite-specific docking and oocysticidal data support GME phytochemicals as promising anti-Cryptosporidium candidates and generate testable hypotheses for CDPK1, PI(4)K, or CPSF3 involvement, while direct intracellular infection assays and recombinant enzyme inhibition studies are required to confirm target engagement.

Indexed as

Cryptosporidium parvumGarcinia mangostanaPhytochemicalsPlant ExtractsAnimalsGas Chromatography-Mass SpectrometryGene Expression ProfilingHumansMolecular Docking SimulationTranscriptomePhytochemicalsPlant ExtractsC. parvumIn silico computationalmangosteenoocysticidaltranscriptomic profilingviability

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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.