AKR1C3 Expression Research Articles

Co-treatment with melatonin and ortho-topolin riboside exhibits anti-proliferation activity in radioresistant MDA-MB-231cells by altering metabolic and transcriptomic profiles.

Radiation therapy represents the primary treatment option for triple-negative breast cancer. However, radio resistance is associated with a poor prognosis and an increased risk of recurrence. Radioresistant MDA-MB-231cells, a radioresistant triple-negative breast cancer cell line, were co-treated with ortho-topolin riboside and melatonin. The energy metabolism, metabolic profile, and transcriptomic profile of these cells were studied using XFe, gas chromatography, and next-generation sequencing. The combination treatment simultaneously inhibited glycolysis and mitochondrial respiration and inhibited the glycolytic transport chain by decreasing ATP5MC1 and ATP5ME1 gene expression, which synthesize ATP synthase, resulting in a decrease in aspartate, a precursor to pyrimidine. Furthermore, reduced CDA and NME1 gene expression impeded pyrimidine metabolism. Conversely, augmented AKR1C2 and AKR1C3 expression and elevated CDKN1A expression, which synthesizes p21, curtailed cell proliferation. Additionally, diminished TSNAX-DISC1 and CYP1B1 expression similarly restrained cell proliferation, potentially by reducing Wnt/β-catenin signaling. These findings may represent a novel therapeutic approach for patients with radioresistant triple-negative breast cancer.

GALNT14-mediated O-glycosylation drives lung adenocarcinoma progression by reducing endogenous reactive oxygen species generation

Aberrant glycosylation, resulting from dysregulated expression of glycosyltransferases, is a prevalent feature of cancer cells. N-acetylgalactosaminyltransferase-14 (GALNT14) serves as a pivotal enzyme responsible for initiating O-GalNAcylation. It remains unclear whether and how GALNT14 affects lung adenocarcinoma (LUAD). Here, GALNT14 expression in LUAD was analyzed by searching public databases and verified by examining clinical samples. Bioinformatics, LC-MS/MS, RNA-seq, and RIP-seq analyses were used to uncover the mechanism underlying GALNT14. We observed that GALNT14 was frequently overexpressed in LUAD tissues. High GALNT14 expression was positively associated with advanced TNM stage, larger tumor size, and unfavorable prognosis. Functionally, GALNT14 facilitated LUAD cell proliferation, migration, and invasion in vitro and accelerated tumor growth in vivo. Mechanistically, GALNT14 reduced the accumulation of endogenous reactive oxygen species (ROS) to exert its oncogenic function via O-glycosylating hnRNPUL1 to upregulate AKR1C2 expression. Meanwhile, GALNT14 expression was directly modulated by miR-125a.These findings indicated that GALNT14-mediated O-GalNAcylation could drive LUAD progression via eliminating ROS and might be a valuable therapeutic target.

Therapeutic potential of targeting AKR1C2 in the treatment of prostate cancer.

Prostate cancer development and progression are driven by androgens, and changes in androgen metabolic pathways can lead to prostate cancer progression or remission. AKR1C2 is a member of the aldo-keto reductase superfamily and plays an important role in the metabolism of steroids and prostaglandins.Alterations in the expression and activity of AKR1C2 affect the homeostasis of active androgens, which in turn affects the progression of prostate cancer. AKR1C2 reduces the highly active dihydrotestosterone to the less active 3α-diol in the prostate, resulting in lower androgen levels. Whereas the expression of AKR1C2 is significantly reduced in prostate cancer tissues relative to normal prostate tissues, this results in a weakening of the dihydrotestosterone metabolic inactivation pathway, leading to the retention of dihydrotestosterone in the prostate cancer cells, which promotes the progress of prostate cancer. Given the critical role of AKR1C2 in prostate cancer cells, targeting AKR1C2 for the treatment of prostate cancer may be an effective strategy. It has been demonstrated that curcumin and neem leaf extract effectively inhibit prostate cancer in vitro and in vivo by modulating AKR1C2.

The Subcutaneous Adipose Microenvironment as a Determinant of Body Fat Development in Polycystic Ovary Syndrome.

Adipose steroid metabolism modifies body fat development in polycystic ovary syndrome (PCOS). To determine whether subcutaneous (SC) abdominal adipose aldo-keto reductase 1C3 (AKR1C3; a marker of testosterone generation) is increased in normal-weight women with PCOS vs age- and body mass index (BMI)-matched normoandrogenic ovulatory women (controls) and is related to SC abdominal adipose activator protein-1 (AP-1; a marker of adipocyte differentiation) and/or androgen receptor (AR) protein expression in predicting fat accretion. Prospective cohort study. Academic center. Eighteen normal-weight PCOS women; 17 age- and BMI-matched controls. Circulating hormone/metabolic determinations, intravenous glucose tolerance testing, total body dual-energy x-ray absorptiometry, SC abdominal fat biopsy, immunohistochemistry. Clinical characteristics, hormonal concentrations, body fat distribution, SC adipose AKR1C3, AR, and AP-1 protein expression. Women with PCOS had significantly higher serum androgen levels and greater android/gynoid fat mass ratios than controls. SC adipose AKR1C3, AR, and AP-1 protein expressions were comparable between the study groups, but groups differed in correlations. In PCOS women vs controls, SC adipose AKR1C3 protein expression correlated positively with android and gynoid fat masses and negatively with SC adipose AP-1 protein expression. SC adipose AR protein expression correlated negatively with fasting serum free fatty acid and high-density lipoprotein levels. In both study groups, SC adipose AKR1C3 protein expression negatively correlated with serum cortisol levels. In normal-weight PCOS women, SC abdominal adipose AKR1C3 protein expression, in combination with intra-adipose AP-1 and AR-dependent events, predicts fat accretion in the presence of physiological cortisol levels.

Ferroptosis-related gene signature predicts prognosis and immune microenvironment in prostate cancer.

Ferroptosis, an iron-dependent form of programmed cell death, significantly impacts cancer, yet its link to prostate cancer (PCa) prognosis remains underexplored. This study aims to develop and validate a ferroptosis-related gene signature to predict PCa prognosis and immune microenvironment differences, potentially identifying therapeutic targets. RNA-sequencing data of 478 PCa patients and corresponding clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. We investigated the disease-free survival (DFS) rates of the high- and low-risk groups using the Kaplan-Meier method. Functional differences between the high- and low-risk groups were investigated by a gene set enrichment analysis (GSEA), and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The link between ferroptosis risk score and immune status was examined using CIBERSORT. The expression levels of core prognostic genes in benign prostatic hyperplasia (BPH) and PCa were verified using quantitative real-time polymerase chain reaction (qRT-PCR), Western blot, and immunohistochemistry (IHC). A novel ferroptosis-related prognostic gene signature was established and tested in the Gene Expression Omnibus (GEO) database based on univariate and multivariate Cox regression analyses. Patients with PCa were classified into high- and low-risk groups based on this ferroptosis signature. Patients in the high-risk group had worse outcomes than those in the low-risk group. The predictive accuracy of the model was demonstrated by a receiver operating characteristic (ROC) analysis. An additional enrichment analysis of TCGA cohort revealed the immune-related pathways were significantly upregulated in the high-risk group, with areas under the curve (AUCs) of 0.85 at 1 year, 0.82 at 3 years, and 0.76 at 5 years. In the GEO cohort, the AUCs reached 0.69 at 1 year, 0.74 at 3 years, and 0.75 at 5 years. An additional enrichment analysis indicated a significant upregulation of cytokine-related pathways, immune receptor activity, and other immune-related pathways in the high-risk group. Furthermore, the analysis revealed that the proportions of mast cells and plasma cells were significantly lower in the high-risk group compared to the low-risk group of PCa patients. Conversely, the proportion of regulatory T cells (Tregs) was significantly higher in the high-risk group than in the low-risk group. According to the qRT-PCR, Western blot, and IHC results, DRD4, SRC, AKR1C2, and AIFM2 expression was significantly higher in PCa than BPH. We also showed that the ferrostatin 1-treated LNCaP cells had higher expression levels of DRD4, SRC, and AKR1C2. A prognostic signature of eight ferroptosis-related genes (FRGs) that may accurately predict PCa patient outcomes was constructed and validated. FRGs may contribute to anti-tumor immunity and serve as therapeutic targets in PCa.

Silencing of KIAA1429, a N6-methyladenine methyltransferase, inhibits the progression of colon adenocarcinoma via blocking the hypoxia-inducible factor 1 signalling pathway.

KIAA1429 is an important 'writer' of the N6-methyladenine (m6A) modification, which is involved in tumour progression. This study was conducted to explore the mechanism of action of KIAA1429 in colon adenocarcinoma (COAD). KIAA1429-silenced COAD cell and xenograft tumour models were constructed, and the function of KIAA1429 was explored through a series of in vivo and in vitro assays. The downstream mechanisms of KIAA1429 were explored using transcriptome sequencing. Dimethyloxalylglycine (DMOG), an activator of HIF-1α, was used for feedback verification. The expression of KIAA1429 in COAD tumour tissues and cells was elevated, and KIAA1429 exhibited differential expression at different stages of the tumour. Silencing of KIAA1429 inhibited the proliferation, migration, and invasion of HT29 and HCT116 cells. The expression levels of NLRP3, GSDMD and Caspase-1 were decreased in KIAA1429-silenced HT29 cells, indicating the pyroptotic activity was inhibited. Additionally, KIAA1429 silencing inhibited the growth of tumour xenograft. Transcriptome sequencing and reverse transcription quantitative polymerase chain reaction revealed that after KIAA1429 silencing, the expression of AKR1C1, AKR1C2, AKR1C3 and RDH8 was elevated, and the expression of VIRMA, GINS1, VBP1 and ARF3 was decreased. In HT29 cells, KIAA1429 silencing blocked the HIF-1 signalling pathway, accompanied by the decrease in AKT1 and HIF-1α protein levels. The activation of HIF-1 signalling pathway, mediated by DMOG, reversed the antitumour role of KIAA1429 silencing. KIAA1429 silencing inhibits COAD development by blocking the HIF-1 signalling pathway.

Resveratrol suppresses liver cancer progression by downregulating AKR1C3: targeting HCC with HSA nanomaterial as a carrier to enhance therapeutic efficacy.

The enzyme AKR1C3 plays a crucial role in hormone and drug metabolism and is associated with abnormal expression in liver cancer, leading to tumor progression and poor prognosis. Nanoparticles modified with HSA can modulate the tumor microenvironment by enhancing photodynamic therapy to induce apoptosis in tumor cells and alleviate hypoxia. Therefore, exploring the potential regulatory mechanisms of resveratrol on AKR1C3 through the construction of HSA-RSV NPs carriers holds significant theoretical and clinical implications for the treatment of liver cancer. The aim of this study is to investigate the targeted regulation of AKR1C3 expression through the loading of resveratrol (RSV) on nanomaterials HSA-RSV NPs (Nanoparticles) in order to alleviate tumor hypoxia and inhibit the progression of hepatocellular carcinoma (HCC), and to explore its molecular mechanism. PubChem database and PharmMapper server were used to screen the target genes of RSV. HCC-related differentially expressed genes (DEGs) were analyzed through the GEO dataset, and relevant genes were retrieved from the GeneCards database, resulting in the intersection of the three to obtain candidate DEGs. GO and KEGG enrichment analyses were performed on the candidate DEGs to analyze the potential cellular functions and molecular signaling pathways affected by the main target genes. The cytohubba plugin was used to screen the top 10 target genes ranked by Degree and further intersected the results of LASSO and Random Forest (RF) to obtain hub genes. The expression analysis of hub genes and the prediction of malignant tumor prognosis were conducted. Furthermore, a pharmacophore model was constructed using PharmMapper. Molecular docking simulations were performed using AutoDockTools 1.5.6 software, and ROC curve analysis was performed to determine the core target. In vitro cell experiments were carried out by selecting appropriate HCC cell lines, treating HCC cells with different concentrations of RSV, or silencing or overexpressing AKR1C3 using lentivirus. CCK-8, clone formation, flow cytometry, scratch experiment, and Transwell were used to measure cancer cell viability, proliferation, migration, invasion, and apoptosis, respectively. Cellular oxygen consumption rate was analyzed using the Seahorse XF24 analyzer. HSA-RSV NPs were prepared, and their characterization and cytotoxicity were evaluated. The biological functional changes of HCC cells after treatment were detected. An HCC subcutaneous xenograft model was established in mice using HepG2 cell lines. HSA-RSV NPs were injected via the tail vein, with a control group set, to observe changes in tumor growth, tumor targeting of NPs, and biological safety. TUNEL, Ki67, and APC-hypoxia probe staining were performed on excised tumor tissue to detect tumor cell proliferation, apoptosis, and hypoxia. Lentivirus was used to silence or overexpress AKR1C3 simultaneously with the injection of HSA-RSV NPs via the tail vein to assess the impact of AKR1C3 on the regulation of HSA-RSV NPs in HCC progression. Bioinformatics analysis revealed that AKR1C3 is an important target gene involved in the regulation of HCC by RSV, which is associated with the prognosis of HCC patients and upregulated in expression. In vitro cell experiments showed that RSV significantly inhibits the respiratory metabolism of HCC cells, suppressing their proliferation, migration, and invasion and promoting apoptosis. Silencing AKR1C3 further enhances the toxicity of RSV towards HCC cells. The characterization and cytotoxicity experiments of nanomaterials demonstrated the successful construction of HSA-RSV NPs, which exhibited stronger inhibitory effects on HCC cells. In vivo, animal experiments further confirmed that targeted downregulation of AKR1C3 by HSA-RSV NPs suppresses the progression of HCC and tumor hypoxia while exhibiting tumor targeting and biological safety. Targeted downregulation of AKR1C3 by HSA-RSV NPs can alleviate HCC tumor hypoxia and inhibit the progression of HCC.

AI Based Discovery of a New AKR1C3 Inhibitor for Anticancer Applications.

AKR1C3 is an upregulated enzyme in prostate and other cancers; in addition to regulating hormone synthesis, this enzyme is thought to play a role in the aggressiveness of tumors and in the defense against drugs. We here used an unbiased method to discover new potent AKR1C3 inhibitors: through an AI-based virtual drug screen, compound 4 was identified as a potent and selective enzymatic inhibitor able to translate this activity into a pronounced antiproliferative effect in the 22RV1 prostate cancer cell model. As other known AKR1C3 inhibitors, compound 4 determined a significantly increased activity of abiraterone, a drug approved for advanced prostate cancer. Compound 4 also showed a synergic effect with doxorubicin in osteosarcoma cell lines; specifically, the effect is correlated with AKR1C3 expression. In this research work, therefore, the use of AI allowed the identification of a new structure as an AKR1C3 inhibitor and its potential to enhance the effect of chemotherapeutics.

Exploring the Molecular Mechanisms of Huaier on Modulating Metabolic Reprogramming of Hepatocellular Carcinoma: A Study based on Network Pharmacology, Molecular Docking and Bioinformatics.

Huaier (Trametes robiniophila Murr), a traditional Chinese medicine, is widely used in China as a complementary and alternative therapy to treat hepatocellular carcinoma (HCC). Past studies have shown that Huaier can arrest the cell cycle, promote apoptosis and inhibit the proliferation of cancer cells. However, how it regulates the metabolism of HCC is still unclear. This study explores the metabolic-related function of Huaier in treating HCC with an in-silico approach. A network pharmacology and bioinformatics-based approach was employed to investigate the molecular pathogenesis of metabolic reprogramming in HCC with Huaier. The compounds of Huaier were obtained from public databases. Oral bioavailability and drug likeness were screened using the TCMSP platform. The differential gene expressions between HCC and non-tumor tissue were calculated and used to find the overlap from the targets of Huaier. The enrichment analysis of the overlapped targets by Metascape helped filter out the metabolism-related targets of Huaier in treating HCC. Protein-protein interaction (PPI) network construction and topological screening revealed the hub nodes. The prognosis and clinical correlation of these targets were validated from the cancer genome atlas (TCGA) database, and the interactions between the hub nodes and active ingredients were validated by molecular docking. The results showed that Peroxyergosterol, Daucosterol, and Kaempferol were the primary active compounds of Huaier involved in the metabolic reprogramming of HCC. The top 6 metabolic targets included AKR1C3, CYP1A1, CYP3A4, CYP1A2, CYP17A1, and HSD11B1. The decreased expression of CYP3A4 and increased expression of AKR1C3 were related to the poor overall survival of HCC patients. The molecular docking validated that Peroxyergosterol and Kaempferol exhibited the potential to modulate CYP3A4 and AKR1C3 from a computational perspective. This study provided a workflow for understanding the mechanism of Huaier in regulating the metabolic reprogramming of HCC.

AKR1C2 genetic variants mediate tobacco carcinogens metabolism involving bladder cancer susceptibility.

Tobacco carcinogens metabolism-related genes (TCMGs) could generate reactive metabolites of tobacco carcinogens, which subsequently contributed to multiple diseases. However, the association between genetic variants in TCMGs and bladder cancer susceptibility remains unclear. In this study, we derived TCMGs from metabolic pathways of polycyclic aromatic hydrocarbons and tobacco-specific nitrosamines, and then explored genetic associations between TCMGs and bladder cancer risk in two populations: a Chinese population of 580 cases and 1101 controls, and a European population of 5930 cases and 5468 controls, along with interaction and joint analyses. Expression patterns of TCMGs were sourced from Nanjing Bladder Cancer (NJBC) study and publicly available datasets. Among 43 TCMGs, we observed that rs7087341 T > A in AKR1C2 was associated with a reduced risk of bladder cancer in the Chinese population [odds ratio (OR) = 0.84, 95% confidence interval (CI) = 0.72-0.97, P = 1.86 × 10-2]. Notably, AKR1C2 rs7087341 showed an interaction effect with cigarette smoking on bladder cancer risk (Pinteraction = 5.04 × 10-3), with smokers carrying the T allele increasing the risk up to an OR of 3.96 (Ptrend < 0.001). Genetically, rs7087341 showed an allele-specific transcriptional regulation as located at DNA-sensitive regions of AKR1C2 highlighted by histone markers. Mechanistically, rs7087341 A allele decreased AKR1C2 expression, which was highly expressed in bladder tumors that enhanced metabolism of tobacco carcinogens, and thereby increased DNA adducts and reactive oxygen species formation during bladder tumorigenesis. These findings provided new insights into the genetic mechanisms underlying bladder cancer.

Author Correction: Aldo-keto reductase 1C2 (AKR1C2) as the second gene associated to non-syndromic primary lipedema: investigating activating mutation or overexpression as causative factors.

Correction to: Eur Rev Med Pharmacol Sci 2023; 27 (6 Suppl): 127-136-DOI: 10.26355/eurrev_202312_34697 After publication and following some post-publication concerns, the authors have applied the following corrections to the galley proof. - The conflict of interest section has been amended as follows: J. Kaftalli and G. Marceddu are employees at MAGI EUREGIO. K. Donato is employee at MAGI EUREGIO and MAGISNAT. M. Bertelli is president of MAGI EUREGIO, MAGISNAT, and MAGI's LAB. G. Bonetti, K. Dhuli, A. Macchia, and P.E. Maltese are employees at MAGI's LAB. M. Bertelli, P.E. Maltese, K. Louise Herbst, Sa. Michelini, Se. Michelini, and P. Chiurazzi are patent inventors (US20220362260A1). M. Bertelli, P.E. Maltese, G. Marceddu are patent inventors (US20230173003A1). M. Bertelli, K. Dhuli and P.E. Maltese are patent inventors (WO2022079498A1). M. Bertelli, P.E. Maltese, Sa. Michelini, Se. Michelini, P. Chiurazzi, K. Louise Herbst, J. Kaftalli, K. Donato, and A. Bernini are patent applicants (Application Number 18/516,241). M. Bertelli, K. Donato, P. Chiurazzi, G. Marceddu, K. Dhuli, G. Bonetti and J. Kaftalli are patent applicants (Application Number: 18/466.879). M. Bertelli, G. Bonetti, G. Marceddu, K. Donato, K. Dhuli, J. Kaftalli, Sa. Michelini, and K. Louise Herbst are patent applicants (Application Number 63/495,155). The remaining authors have no conflict of interest to disclose. - Figure 5 has been modified as follows to better distinguish outliers: - The legend of Figure 5 has to be modified as follows: Relative expression of AKR1C1 and AKR1C3 in different groups (CTR = non affected controls, L = lipedema patients without overexpression of AKR1C2, L-over = Lipedema patients with overexpression of AKR1C2), showing that lipedema patients expressed AKR1C1 and AKR1C3 levels similar to the control group. Outliers are reported as black triangles. There are amendments to this paper. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/34697.

LINC00540 promotes sorafenib resistance and functions as a ceRNA for miR-4677-3p to regulate AKR1C2 in hepatocellular carcinoma

Sorafenib resistance is one of the main causes of poor prognosis in patients with advanced hepatocellular carcinoma (HCC). Long noncoding RNAs (lncRNAs) function as suppressors or oncogenic factors during tumor progression and drug resistance. Here, to identify therapeutic targets for HCC, the biological mechanisms of abnormally expressed lncRNAs were examined in sorafenib-resistant HCC cells. Specifically, we established sorafenib-resistant HCC cell lines (Huh7-S and SMMC7721-S), which displayed an epithelial-mesenchymal transition (EMT) phenotype. Transcriptome sequencing (RNA-Seq) was performed to established differential lncRNA expression profiles for sorafenib-resistant cells. Through this analysis, we identified LINC00540 as significantly up-regulated in sorafenib-resistant cells and a candidate lncRNA for further mechanistic investigation. Functionally, LINC00540 knockdown promoted sorafenib sensitivity and suppressed migration, invasion, EMT and the activation of PI3K/AKT signaling pathway in sorafenib-resistant HCC cells, whereas overexpression of LINC00540 resulted in the opposite effects in parental cells. LINC00540 functions as a competing endogenous RNA (ceRNA) by competitively binding to miR-4677-3p , thereby promoting AKR1C2 expression. This is the first study that demonstrates a role for LINC00540 in enhancing sorafenib resistance, migration and invasion of HCC cells through the LINC00540/miR-4677-3p/AKR1C2 axis, suggesting that LINC00540 may represent a potential therapeutic target and prognosis biomarker for HCC.

In vitro evaluation of the reductive carbonyl idarubicin metabolism to evaluate inhibitors of the formation of cardiotoxic idarubicinol via carbonyl and aldo–keto reductases

The most important dose-limiting factor of the anthracycline idarubicin is the high risk of cardiotoxicity, in which the secondary alcohol metabolite idarubicinol plays an important role. It is not yet clear which enzymes are most important for the formation of idarubicinol and which inhibitors might be suitable to suppress this metabolic step and thus would be promising concomitant drugs to reduce idarubicin-associated cardiotoxicity. We, therefore, established and validated a mass spectrometry method for intracellular quantification of idarubicin and idarubicinol and investigated idarubicinol formation in different cell lines and its inhibition by known inhibitors of the aldo–keto reductases AKR1A1, AKR1B1, and AKR1C3 and the carbonyl reductases CBR1/3. The enzyme expression pattern differed among the cell lines with dominant expression of CBR1/3 in HEK293 and MCF-7 and very high expression of AKR1C3 in HepG2 cells. In HEK293 and MCF-7 cells, menadione was the most potent inhibitor (IC50 = 1.6 and 9.8 µM), while in HepG2 cells, ranirestat was most potent (IC50 = 0.4 µM), suggesting that ranirestat is not a selective AKR1B1 inhibitor, but also an AKR1C3 inhibitor. Over-expression of AKR1C3 verified the importance of AKR1C3 for idarubicinol formation and showed that ranirestat is also a potent inhibitor of this enzyme. Taken together, our study underlines the importance of AKR1C3 and CBR1 for the reduction of idarubicin and identifies potent inhibitors of metabolic formation of the cardiotoxic idarubicinol, which should now be tested in vivo to evaluate whether such combinations can increase the cardiac safety of idarubicin therapies while preserving its efficacy.

Aldo-keto reductase family member C3 (AKR1C3) promotes hepatocellular carcinoma cell growth by producing prostaglandin F2α.

Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Current therapies are effective for HCC patients with early disease, but many patients suffer recurrence after surgery and have a poor response to chemotherapy. Therefore, new therapeutic targets are needed. We analyzed gene expression profiles between HCC tissues and normal adjacent tissues from public databases and found that the expression of genes involved in lipid metabolism was significantly different. The analysis showed that AKR1C3 was upregulated in tumors, and high AKR1C3 expression was associated with a poorer prognosis in HCC patients. In vitro, assays demonstrated that the knockdown of AKR1C3 or the addition of the AKR1C3 inhibitor indomethacin suppressed the growth and colony formation of HCC cell lines. Knockdown of AKR1C3 in Huh7 cells reduced tumor growth in vivo. To explore the mechanism, we performed pathway enrichment analysis, and the results linked the expression of AKR1C3 with prostaglandin F2 alpha (PGF2α) downstream target genes. Suppression of AKR1C3 activity reduced the production of PGF2α, and supplementation with PGF2α restored the growth of indomethacin-treated Huh7 cells. Knockdown of the PGF receptor (PTGFR) and treatment with a PTGFR inhibitor significantly reduced HCC growth. We showed that indomethacin potentiated the sensitivity of Huh7 cells to sorafenib. In summary, our results indicate that AKR1C3 upregulation may promote HCC growth by promoting the production of PGF2α, and suppression of PTGFR limited HCC growth. Therefore, targeting the AKR1C3-PGF2α-PTGFR axis may be a new strategy for the treatment of HCC.

Mangiferin alleviates 6-OHDA-induced Parkinson's disease by inhibiting AKR1C3 to activate Wnt signaling pathway

Parkinson's disease (PD) is a neurodegenerative disorder with a lack of effective treatment options. mangiferin, a bioactive compound derived from mango, has been shown to possess strong neuroprotective properties. In this study, we investigated the neuroprotective effects of mangiferin on PD and its underlying mechanisms using both in vitro and in vivo models of 6-OHDA-induced PD. Additionally, we conducted molecular docking experiments to evaluate the interaction between mangiferin and AKR1C3 and β-catenin. Our results demonstrated that treatment with mangiferin significantly attenuated 6-OHDA-induced cell damage in PC12 cells, reducing intracellular oxidative stress, improving mitochondrial membrane potential, and restoring the expression of tyrosine hydroxylase (TH), a characteristic protein of dopaminergic neurons. Furthermore, mangiferin reduced the accumulation of α-synuclein and inhibited the expression of AKR1C3, thereby activating the Wnt/β-catenin signaling pathway. In vivo studies revealed that mangiferin improved motor dysfunction in 6-OHDA-induced PD mice. Molecular docking analysis confirmed the interaction between mangiferin and AKR1C3 and β-catenin. These findings indicate that mangiferin exerts significant neuroprotective effects in 6-OHDA-induced PD by inhibiting AKR1C3 and activating the Wnt/β-catenin signaling pathway. Therefore, mangiferin may emerge as an innovative therapeutic strategy in the comprehensive treatment regimen of PD patients, providing them with better clinical outcomes and quality of life.

Long read sequencing characterises a novel structural variant, revealing underactive AKR1C1 with overactive AKR1C2 as a possible cause of severe chronic fatigue

BackgroundCausative genetic variants cannot yet be found for many disorders with a clear heritable component, including chronic fatigue disorders like myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). These conditions may involve genes in difficult-to-align genomic regions that are refractory to short read approaches. Structural variants in these regions can be particularly hard to detect or define with short reads, yet may account for a significant number of cases. Long read sequencing can overcome these difficulties but so far little data is available regarding the specific analytical challenges inherent in such regions, which need to be taken into account to ensure that variants are correctly identified. Research into chronic fatigue disorders faces the additional challenge that the heterogeneous patient populations likely encompass multiple aetiologies with overlapping symptoms, rather than a single disease entity, such that each individual abnormality may lack statistical significance within a larger sample. Better delineation of patient subgroups is needed to target research and treatment.MethodsWe use nanopore sequencing in a case of unexplained severe fatigue to identify and fully characterise a large inversion in a highly homologous region spanning the AKR1C gene locus, which was indicated but could not be resolved by short-read sequencing. We then use GC–MS/MS serum steroid analysis to investigate the functional consequences.ResultsSeveral commonly used bioinformatics tools are confounded by the homology but a combined approach including visual inspection allows the variant to be accurately resolved. The DNA inversion appears to increase the expression of AKR1C2 while limiting AKR1C1 activity, resulting in a relative increase of inhibitory GABAergic neurosteroids and impaired progesterone metabolism which could suppress neuronal activity and interfere with cellular function in a wide range of tissues.ConclusionsThis study provides an example of how long read sequencing can improve diagnostic yield in research and clinical care, and highlights some of the analytical challenges presented by regions containing tandem arrays of genes. It also proposes a novel gene associated with a novel disease aetiology that may be an underlying cause of complex chronic fatigue. It reveals biomarkers that could now be assessed in a larger cohort, potentially identifying a subset of patients who might respond to treatments suggested by the aetiology.

Relationship between cholestasis and altered progesterone metabolism in the placenta-maternal liver tandem

BackgroundIn intrahepatic cholestasis of pregnancy (ICP), there are elevated maternal serum levels of total bile acids, progesterone, and some sulfated metabolites, such as allopregnanolone sulfate, which inhibits canalicular function. AimTo investigate the relationship between cholestasis and the expression of crucial enzymes involved in progesterone metabolism in the liver and placenta. MethodsObstructive cholestasis was induced by bile duct ligation (BDL). RT-qPCR (mRNA) and western blot (protein) were used to determine expression levels. Srd5a1 and Akr1c2 enzymatic activities were assayed by substrate disappearance (progesterone and 5α-dihydroprogesterone, respectively), measured by HPLC-MS/MS. ResultsBDL induced decreased Srd5a1 and Akr1c2 expression and activity in rat liver, whereas both enzymes were up-regulated in rat placenta. Regarding sulfotransferases, Sult2b1 was also moderately up-regulated in the liver. In placenta from ICP patients, SRD5A1 and AKR1C2 expression was elevated, whereas both genes were down-regulated in liver biopsies collected from patients with several liver diseases accompanied by cholestasis. SRD5A1 and AKR1C2 expression was not affected by incubating human hepatoma HepG2 cells with FXR agonists (chenodeoxycholic acid and GW4064). Knocking-out Fxr in mice did not reduce Srd5a1 and Akr1c14 expression, which was similarly down-regulated by BDL. ConclusionSRD5A1 and AKR1C2 expression was markedly altered by cholestasis. This was enhanced in the placenta but decreased in the liver, which is not mediated by FXR. These results suggest that the excess of progesterone metabolites in the serum of ICP patients can involve both enhanced placental production and decreased hepatic clearance. The latter may also occur in other cholestatic conditions.

Radiotherapy Resistance in Prostate Cancer Cells: AKR1C3 Inhibition of Ubiquitinated Degradation of Nrf2 through Interaction with KEAP1

Radiotherapy is the most fundamental treatment for prostate cancer (PCa), and although radiotherapy for overall PCa patients is effective, poor prognosis and resistance to multiple treatments regimes in some highly malignant PCa, such as those with high Gleason Scores (GS) (≥9), are important bottlenecks limiting the improvement of treatment outcomes for clinical. AKR1C3 is a key PCa resistance gene that our team identified previously, but the induction of the specific mechanism of radiotherapy resistance has not been fully revealed and understand. To analyze the correlation between its expression level and clinical radiotherapy, we used the gene expression profiles data of PCa patients in TCGA database. We generated a stepwise increase of radiotherapy dose to established PCa radiotherapy resistant cell lines and detect the AKR1C3 expression level. In addition, to explore the molecular mechanism of AKR1C3 induced prostate cancer radiation tolerance through functional enrichment analysis. Then, to treat cells with cycloheximide and the protein stability of the Nrf2 was detected. Last, the protein ubiquitination level was assayed by co-immunoprecipitation (co-IP) after treatment with MG132. Finally, protein-protein interactions were identified using co-IP to mine possible binding molecules. By analyzing the expression profiles data of PCa patients in the TCGA database, we found that in the population of PCa patients treated with radiotherapy, all patients with high AKR1C3 expression died after radiotherapy, suggesting that high AKR1C3 expression may be a biomarker of resistance to radiation. Accordingly, AKR1C3 expression levels showed a positive correlation with GS score, which may be a symbol for patients with highly malignant PCa. A PCa radiotherapy resistant cell line was constructed by a stepwise increase of ionizing radiation (IR) dose, and the total IR dose of radiotherapy was 84Gy, which reached the dose of radical radiotherapy for prostate cancer. The expression of AKR1C3 was further detected by RT-qPCR and WB, and it was found that the expression of AKR1C3 was significantly up-regulated in the resistant cell line, accompanied by milder DNA damage. What's more, by GSEA functional enrichment analysis, we discovered that AKR1C3 overexpression might be related with intracellular oxidative stress damage. After CHX treatment, the protein stability of Nrf2 was significantly enhanced in AKR1C3 overexpression groups than control groups. And the administration of MG132 showed the same results, indicating that the ubiquitinated degradation of Nrf2 was inhibited in AKR1C3 overexpression groups. Further by co-IP, we found that Nrf2 was less ubiquitinated in the cytoplasm after AKR1C3 overexpression, and AKR1C3 could bind Keap1. In sum, we found that AKR1C3 can bind with Keap1 leading to reduced ubiquitination level of Nrf2, causing upregulation of Nrf2 expression and providing new insights into PCa radiotherapy resistance.

Regulation of 20α-Hydroxysteroid Dehydrogenase Expression in Term Pregnant Human Myometrium Ex Vivo

Metabolic inactivation of progesterone within uterine myocytes by 20α-hydroxysteroid dehydrogenase (20α-HSD) has been postulated as a mechanism contributing to functional progesterone withdrawal at term. In humans, 20α-HSD is encoded by the gene AKR1C1. Myometrial AKR1C1 mRNA abundance has been reported to increase significantly during labor at term. In spontaneous preterm labor, however, we previously found no increase in AKR1C1 mRNA level in the myometrium except for preterm labor associated with clinical chorioamnionitis. This suggests that increased 20α-HSD activity is a mechanism through which inflammation drives progesterone withdrawal in preterm labor. In this study, we have determined the effects of various treatments of therapeutic relevance on AKR1C1 expression in pregnant human myometrium in an ex vivo culture system. AKR1C1 expression increased spontaneously during 48 h culture (p < 0.0001), consistent with the myometrium transitioning to a labor-like phenotype ex vivo, as reported previously. Serum supplementation, prostaglandin F2α, phorbol myristate acetate, and mechanical stretch had no effect on the culture-induced increase, whereas progesterone (p = 0.0058) and cAMP (p = 0.0202) further upregulated AKR1C1 expression. In contrast, culture-induced upregulation of AKR1C1 expression was dose-dependently repressed by three histone/protein deacetylase inhibitors: trichostatin A at 5 (p = 0.0172) and 25 µM (p = 0.0115); suberoylanilide hydroxamic acid at 0.5 (p = 0.0070), 1 (p = 0.0045), 2.5 (p = 0.0181), 5 (p = 0.0066) and 25 µM (p = 0.0014); and suberoyl bis-hydroxamic acid at 5 (p = 0.0480) and 25 µM (p = 0.0238). We propose the inhibition of histone/protein deacetylation helps to maintain the anti-inflammatory, pro-quiescence signaling of progesterone in pregnant human myometrium by blocking its metabolic inactivation. Histone deacetylase inhibitors may represent a class of agents that preserve or restore the progesterone sensitivity of the pregnant uterus.

Genome-Wide Screening Identifies Gene AKR1C1 Critical for Resistance to Pirarubicin in Bladder Cancer.

Non-muscle-invasive bladder cancer (NMIBC) is a common tumor of the urinary system. Given its high rates of recurrence, progression, and drug resistance, NMIBC seriously affects the quality of life and limits the survival time of patients. Pirarubicin (THP) is a bladder infusion chemotherapy drug recommended by the guidelines for NMIBC. Although the widespread use of THP reduces the recurrence rate of NMIBC, 10-50% of patients still suffer from tumor recurrence, which is closely related to tumor resistance to chemotherapy drugs. This study was performed to screen the critical genes causing THP resistance in bladder cancer cell lines by using the CRISPR/dCas9-SAM system. Thus, AKR1C1 was screened. Results showed that the high expression of AKR1C1 could enhance the drug resistance of bladder cancer to THP both in vivo and in vitro. This gene could reduce the levels of 4-hydroxynonenal and reactive oxygen species (ROS) and resist THP-induced apoptosis. However, AKR1C1 did not affect the proliferation, invasion, or migration of the bladder cancer cells. Aspirin, which is an AKR1C1 inhibitor, could help reduce the drug resistance caused by AKR1C1. After receiving THP treatment, the bladder cancer cell lines could upregulate the expression of the AKR1C1 gene through the ROS/KEAP1/NRF2 pathway, leading to resistance to THP treatment. Using tempol, which is an inhibitor of ROS, could prevent the upregulation of AKR1C1 expression.