ArticleAmerican journal of translational research2024
Human umbilical cord mesenchymal stem cells derived-exosomes alleviate LPS-induced cervical inflammation and epithelial-mesenchymal transition.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Role of mesenchymal stem cells and their derived exosomes in cervical cancer: Bidirectional mechanisms and research progress (Review).Oncology letters · 2026Review
- Uncovering endothelial to mesenchymal transition drivers in atherosclerosis via multi-omics analysis.BMC cardiovascular disorders · 2025Article
- Biological Nanotherapeutics Derived From Human Umbilical Cord Mesenchymal Stem Cells: Mechanisms and Translational Potential in Multisystem Therapies for Regeneration and Oncology.International journal of nanomedicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePatients with chronic cervicitis are known to have an increased risk of infection with human papillomavirus (HPV), which is the primary cause of cervical cancer. Inhibition of cervical inflammation may reduce the risk of cervical cancer. This study investigated how human umbilical cord mesenchymal stem cell-derived exosomes (hucMSC-Ex) attenuated the lipopolysaccharide (LPS)-induced cervical inflammation.
methodsHuman uterine squamous carcinoma (SiHa) cells were induced with LPS to construct an inflammatory model and treated with hucMSC-Ex. The expression levels of tumor necrosis factor α (TNF-α), and interleukins (IL)-1β, IL-6, IL-10 were analyzed by qRT-PCR. Western blot was used to detect the protein expression levels of cyclooxygenase-2 (COX-2) and proliferating cell nuclear antigen (PCNA) in cells, and CCK8 was used to examine cell proliferation, so as to explore the relieving effect of hucMSC-Ex on cell inflammation. The expression of epithelial-mesenchymal transition (EMT) markers in SiHa cells was also assessed by qRT-PCR and western blot to determine the effect of hucMSC-Ex on inflammation. Moreover, clinical cervical smears were collected to detect the expression of EMT markers in clinical exfoliated cell samples by immunofluorescence.
resultsHucMSC-Ex treatment significantly reduced the expression of pro-inflammatory cytokines, such as TNF-α, IL-1β, and IL-6 in the LPS-induced inflammation model, while increasing the level of anti-inflammatory cytokines, including IL-10, to reduce inflammation. HucMSC-Ex increased the expression level of epithelial markers (such as E-cadherin) while it decreased the expression of interstitial markers (such as N-cadherin), suggesting it inhibits EMT.
conclusionsOur results support that hucMSC-Ex alleviates LPS-induced cervical inflammation, possibly by inhibition of EMT.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.