ZIP transporters-regulated Zn2+ homeostasis: A novel determinant of human diseases.

As an essential trace element for organisms, zinc participates in various physiological processes, such as RNA transcription, DNA replication, cell proliferation, and cell differentiation. The destruction of zinc homeostasis is associated with various diseases. Zinc homeostasis is controlled by the cooperative action of zinc transporter proteins that are responsible for the influx and efflux of zinc. Zinc transporter proteins are mainly categorized into two families: Zrt/Irt-like protein (SLC39A/ZIP) family and zinc transporter (SLC30A/ZNT) family. ZIP transporters contain 14 members, namely ZIP1-14, which can be further divided into four subfamilies. Currently, ZIP transporters-regulated zinc homeostasis is one of the research hotspots. Cumulative evidence suggests that ZIP transporters-regulated zinc homeostasis may cause physiological dysfunction and contribute to the onset and progression of diverse diseases, such as cancers, neurological diseases, and cardiovascular diseases. In this review, we initially discuss the structure and distribution of ZIP transporters. Furthermore, we comprehensively review the latest research progress of ZIP transporters-regulated zinc homeostasis in diseases, providing a new perspective into new therapeutic targets for treating related diseases.

Epidemiological features and prognosis for primary gastrointestinal follicular lymphoma.

Primary gastrointestinal follicular lymphoma (PGI-FL) is a rare extra-nodal lymphoma. Its epidemiology and prognosis remain unclear. We performed a retrospective analysis of eligible patients with 1648 PGI-FL and 34 892 nodal FL (N-FL) in the Surveillance, Epidemiology and End Results (SEER) database. The age-adjusted average annual incidence of PGI-FL was 0.111/100000. The median overall survival (OS) for PGI-FL and N-FL patients was 207 and 165 months respectively. The 5-year diffuse large B-cell lymphoma (DLBCL) transformation rates were 2.1% and 2.6% respectively. Age, sex, grade, Ann Arbor stage, primary site and radiation were independent prognostic factors (p < 0.05). Nomograms were constructed to predict 1-, 5- and 10-year OS and disease-specific survival (DSS). The receiver operating characteristic curves and calibration plots showed the established nomograms had robust and accurate performance. Patients were classified into three risk groups according to nomogram score. In conclusion, the incidence of PGI-FL has increased over the past 40 years, and PGI-FL has a better prognosis and a lower DLBCL transformation rate than N-FL. The nomograms were developed and validated as an individualized tool to predict survival. Patients were divided into three risk groups to assist clinicians in identifying high-risk patients and choosing the optimal individualized treatments.

Metabolic pathway-based subtyping reveals distinct microenvironmental states associated with diffuse large B-cell lymphoma outcomes.

Diffuse large B-cell lymphoma (DLBCL) is a biologically and clinically heterogeneous disease that requires personalized clinical treatment. Assigning patients to different risk categories and cytogenetic abnormality and genetic mutation groups has been widely applied for prognostic stratification of DLBCL. Increasing evidence has demonstrated that dysregulated metabolic processes contribute to the initiation and progression of DLBCL. Metabolic competition within the tumor microenvironment is also known to influence immune cell metabolism. However, metabolism- and immune-related stratification has not been established. Here, 1660 genes involved in 84 metabolic pathways were selected and tested to establish metabolic clusters (MECs) of DLBCL. MECs established based on independent lymphoma datasets distinguished different survival outcomes. The CIBERSORT algorithm and EcoTyper were applied to quantify the relative abundance of immune cell types and identify variation in cell states for 13 lineages comprising the tumor micro environment among different MECs, respectively. Functional characterization showed that MECs were an indicator of the immune microenvironment and correlated with distinctive mutational characteristics and oncogenic signaling pathways. The novel immune-related MECs exhibited promising clinical prognostic value and potential for informing DLBCL treatment decisions.

Elabela-apelin-12, 17, 36/APJ system promotes platelet aggregation and thrombosis via activating the PANX1-P2X7 signaling pathway.

The elabela-apelin/angiotensin domain type 1 receptor-associated protein (APJ) system is an important regulator in certain thrombosis-related diseases such as atherosclerosis, myocardial infarction, and cerebral infarction. Our previous reports have revealed that apelin exacerbates atherosclerotic lesions. However, the relationship between the elabela-apelin/APJ system and platelet aggregation and atherothrombosis is unclear. The results of the present study demonstrate that elabela and other endogenous ligands such as apelin-12, -17, and -36 induce platelet aggregation and thrombosis by activating the pannexin1(PANX1)-P2X7 signaling pathway. Interestingly, the diuretic, spironolactone, a novel PANX1 inhibitor, alleviated elabela- and apelin isoforms-induced platelet aggregation and thrombosis. Significantly, two potential antithrombotic drugs were screened out by targeting APJ receptors, including the anti-HIV ancillary drug cobicistat and the traditional Chinese medicine monomer Schisandrin A. Both cobicistat and Schisandrin A abolished the effects of elabela and apelin isoforms on platelet aggregation, thrombosis, and cerebral infarction. In addition, cobicistat significantly attenuated thrombosis in a ponatinib-induced zebrafish trunk model. Overall, the elabela-apelin/APJ axis mediated platelet aggregation and thrombosis via the PANX1-P2X7 signaling pathway in vitro and in vivo. Blocking the APJ receptor with cobicistat/Schisandrin A or inhibiting PANX1 with spironolactone may provide novel therapeutic strategies against thrombosis.

OX40 shapes an inflamed tumor immune microenvironment and predicts response to immunochemotherapy in diffuse large B-cell lymphoma.

OX40 enhances the T-cell activation via costimulatory signaling. However, its molecular characteristics and value in predicting response to immunochemotherapy in DLBCL remain largely unexplored. Here, we performed an integrative analysis of sequencing and multiplex immunofluorescence staining, and discovered abnormally higher expression of OX40 in DLBCL patients. Elevated OX40 could activate T cells leading to a higher immune score for tumor immune microenvironment (TiME). OX40 upregulation simultaneously happened with immune-related genes including PD-1, CTLA4 and TIGIT et,al. Patients with high OX40 expression exhibited a lower Ann Arbor stage and IPI score and more easily achieved a complete response/partial response. The analysis of infiltrated T-cell subset revealed that patients with a greater number of CD4+/OX40+ or CD8+/OX40+ T cells had a longer OS. Our findings indicated that OX40 shapes an inflamed tumor immune microenvironment and predicts response to immunochemotherapy, providing insights for the application of OX40 agonist in DLBCL patients.

Integrative genomic and transcriptomic analysis reveals genetic alterations associated with the early progression of follicular lymphoma.

Follicular lymphoma (FL), the most common indolent lymphoma, is a clinically and genetically heterogeneous disease. However, the prognostic value of driver gene mutations and copy number alterations has not been systematically assessed. Here, we analysed the clinical-biological features of 415 FL patients to identify variables associated with disease progression within 24 months of first-line therapy (POD24). Patients with B symptoms, elevated lactate dehydrogenase and ß2-microglobulin levels, unfavourable baseline haemoglobin levels, advanced stage, and high-risk FL International Prognostic Index (FLIPI) scores had an increased risk of POD24, with FLIPI being the most important factor in logistic regression. HIST1H1D, identified as a driver mutation, was correlated with POD24. Gains of 6p22.2 (HIST1H1D) and 18q21.33 (BCL2) and loss of 1p36.13 (NBPF1) predicted POD24 independent of FLIPI. Gene expression profiling of FL samples showed that the POD24 cohort was significantly enriched in the inflammatory response (mediated by interferon and tumour necrosis factor), cell cycle regulation (transcription, replication and proliferation) sets and PI3K-AKT-mTOR signalling. This result was further validated with transcriptome-wide information provided by RNA-seq at single-cell resolution. Our study, performed on a large cohort of FL patients, highlights the importance of distinctive genetic alterations and gene expression relevant to disease diagnosis and early progression.

Circ_0001589/miR-1248/HMGB1 axis enhances EMT-mediated metastasis and cisplatin resistance in cervical cancer.

Cervical cancer is the fourth most common malignant tumors in female worldwide. Cirular RNAs (circRNA) represent a new class of regulatory RNA and play a pivotal role in the carcinogenesis and development of tumors. However, their functions have not been fully elucidated in cervical cancer. In this study, we identified an upregulated circRNA, circ_0001589, both in fresh clinical samples and tissue microarray of cervical cancer. Transwell assay and cell apoptosis assay by flow cytometry demonstrated circ_0001589 promotes epithelial-mesenchymal transition (EMT)-mediated cell migration and invasion, and enhanced cisplatin resistance in vitro. In addition, in nude mice model, circ_0001589 increased the number of lung metastases and recovered xenograft growth from cisplatin treatment in vivo. Mechanistically, RNA pull-down assay, RNA immunoprecipitation, and dual-luciferase reporter assay disclosed that circ_0001589 function as an competing endogenous RNA to sponge miR-1248, which directly target the 3' untranslated region of high mobility group box-B1 (HMGB1). Thereby, circ_0001589 upregulated HMGB1 protein expression and accelerate cervical cancer progression. The rescue experiments also revealed that miR-1248 overexpression or HMGB1 knockdown partially reversed the regulatory functions of circ_0001589 on cell migration, invasion, and cisplatin resistance. In summary, our findings suggest the upregulation of circ_0001589 promoted EMT-mediated cell migration and invasion, and enhanced cisplatin resistance via regulating miR-1248/HMGB1 axis in cervical cancer. These results provided new evidence for understanding the carcinogenesis mechanism and finding new therapeutic target for cervical cancer.

Improved method to stratify lymphoma patients with risk of secondary central nervous system involvement: A multicenter retrospective analysis.

Secondary central nervous system (SCNS) involvement is an infrequent but universally fatal event in diffused large B-cell lymphoma. The occurrence rate of SCNS involvement is approximately 5% but comes with a poor prognosis ever after. However, existing risk models to predict the incidence and prognosis of these patients with SCNS involvement lack both efficiency and accuracy. Controversy has also been reported regarding which risk factor may best identify the population with a high CNS relapse rate. In this study, we retrospectively analyzed 831 patients with diffused large B-cell lymphoma, diagnosed between March 2008 and June 2018 in Tianjin Medical University Cancer Institute and Hospital, Beijing Cancer Hospital, and Cancer Hospital of The University of Chinese Academy of Science. Risk factors and nomogram were identified and established based on Fine and Gray's competing risk analysis. Among these patients, 55 (6.6%) of them eventually developed SCNS involvement. The 1- and 2-year incidence for SCNS involvement were 3.9% and 4.7%, respectively. The median time from de novo diagnosis to CNS relapse was 8 months, and the median overall survival of these patients was 28 months. Considering the competing mortality before SCNS involvement, Fine and Gray's competing risk model was performed to analyze the characteristics related to SCNS involvement, and identified risk factors as the multiple extranodal involvements, elevated LDH and AMC level, and the involvement of breast, adrenal gland/kidney, pulmonary and bone. Corresponding factors were integrated into the competing nomogram for SCNS involvement (c-index = 0.778). In conclusion, we present the first predictive nomogram to evaluate the risk to develop SCNS involvement in de novo DLBCL patients, which may help in both prognostic evaluation and clinical decision for this subgroup.

A Novel Mouse Model for Polysynaptic Retrograde Tracing and Rabies Pathological Research.

Retrograde tracing is an important method for dissecting neuronal connections and mapping neural circuits. Over the past decades, several virus-based retrograde tracers have been developed and have contributed to display multiple neural circuits in the brain. However, most of the previously widely used viral tools have focused on mono-transsynaptic neural tracing within the central nervous system, with very limited options for achieving polysynaptic tracing between the central and peripheral nervous systems. In this study, we generated a novel mouse line, GT mice, in which both glycoprotein (G) and ASLV-A receptor (TVA) were expressed throughout the body. Using this mouse model, in combination with the well-developed rabies virus tools (RABV-EnvA-ΔG) for monosynaptic retrograde tracing, polysynaptic retrograde tracing can be achieved. This allows functional forward mapping and long-term tracing. Furthermore, since the G-deleted rabies virus can travel upstream against the nervous system as the original strain, this mouse model can also be used for rabies pathological studies. Schematic illustrations about the application principles of GT mice in polysynaptic retrograde tracing and rabies pathological research.

Complete Genome Sequence of Streptomyces sp. HP-A2021, a Promising Bacterium for Natural Product Discovery.

Streptomyces are one of the most prolific sources of bioactive and structurally diverse secondary metabolites for natural product drug discovery. Genome sequencing and bioinformatics analysis revealed that the genomes of Streptomyces harbor a wealth of cryptic secondary metabolite biosynthetic gene clusters that could encode novel compounds. In this work, a genome mining approach was employed to investigate the biosynthetic potential of Streptomyces sp. HP-A2021, isolated from rhizosphere soil of Ginkgo biloba L. The complete genome of HP-A2021 was sequenced and contained the 9,607,552 base pair linear chromosome with a GC content of 71.07%. The annotation results revealed the presence of 8534 CDSs, 76 tRNA genes, and 18 rRNA genes in HP-A2021. The highest dDDH and ANI values based on genome sequences between HP-A2021 and the most closely related type strain, Streptomyces coeruleorubidus JCM 4359, were 64.2% and 92.41%, respectively. In total, 33 secondary metabolite biosynthetic gene clusters with an average length of 105,594 bp were identified, including the putative thiotetroamide, alkylresorcinol, coelichelin, and geosmin. The antibacterial activity assay confirmed that the crude extracts of HP-A2021 showed potent antimicrobial activity against human pathogenic bacteria. Our study demonstrated that Streptomyces sp. HP-A2021 will propose a potential use in biotechnological and novel bioactive secondary metabolite biosynthetic applications.

Role of glycolysis in the development of atherosclerosis.

Atherosclerosis is a chronic inflammatory vascular disease associated with endothelial dysfunction, inflammation, and atherosclerotic plaque formation. Glycolysis is a conservative and rigorous biological process that decomposes glucose into pyruvate. Its function is to provide the body with energy and intermediate products required for life activities. However, abnormalities in glycolysis flux during the progression of atherosclerosis accelerate the disease progression. Herein, we review the role of glycolysis in the development of atherosclerosis to provide new ideas for devising novel antiatherosclerosis strategies.

A retrospective analysis of EBV-DNA status with the prognosis of lymphoma.

Epstein-Barr virus (EBV) infection is proved to be associated with clinicopathology of lymphoma. However, little is known about the relationship between EBV-DNA status after treatment and prognosis. In this study, real-time polymerase chain reaction (PCR) was used for quantitative detection of EBV-DNA load in peripheral blood of all 26,527 patients with lymphoma, and the clinical characteristics and prognosis of 202 patients were retrospectively analysed, including 100 patients with positive EBV-DNA and 102 randomly selected patients with negative EBV-DNA. We found that the average rate of EBV-DNA positivity in lymphomas was 0.376%, and EBV-DNA-positive patients presented higher risk with elevated lactate dehydrogenase (LDH) and ß2-MG level, B symptoms, secondary hemophagocytic syndrome and lower objective response rate compared to EBV-DNA-negative patients. Multivariate analysis revealed EBV-DNA-positive patients had inferior progression-free survival (PFS) and overall survival (OS) and EBV-DNA level before treatment was related to PFS but not OS of T/NK cell lymphoma. In T/NK cell lymphoma, EBV-DNA converting negative after treatment was correlated with better PFS but not OS, and second-line therapy could induce more EBV-DNA-negative conversion compared to CHOP-based therapy. In all, EBV-DNA positivity before treatment can be a biomarker representing the tumour burden and an independent prognostic factor. EBV-DNA-negative conversion after treatment is a good prognostic factor for T/NK cell lymphomas.

Multiple functions of CALCOCO family proteins in selective autophagy.

Selective autophagy is the lysosomal degradation of specific intracellular components sequestered into autophagosomes, late endosomes, or lysosomes through the activity of selective autophagy receptors. CALCOCO family proteins are the newly found selective autophagy receptors, which include calcium binding and coiled-coil domain 1 (CALCOCO1), calcium binding and coiled-coil domain 2/nuclear domain 10 protein 52 (CALCOCO2/NDP52), and calcium binding and coiled-coil domain 3/Tax1-binding protein 1 (CALCOCO3/TAX1BP1). Specifically, CALCOCO1 can be recruited to endoplasmic reticulum (ER) and Golgi to mediate selective ER-phagy and Golgiphagy. CALCOCO2 and CALCOCO3, which are two essential cargo receptors, can mediate mitophagy and xenophagy through interacting with autophagy-related-8/microtubule-associated protein 1 light chain 3 (ATG8/LC3) on the growing autophagosome, and binding ubiquitin for cargo recruitment. Considering the significance of these proteins in selective autophagy, we review the structures, distribution, posttranslational modifications, and phylogenetic analysis of CALCOCO family proteins and their roles in different selective autophagy.

Apelin-13/APJ induces cardiomyocyte hypertrophy by activating the Pannexin-1/P2X7 axis and FAM134B-dependent reticulophagy.

Cardiac hypertrophy is a leading cause of cardiac morbidity and mortality worldwide. Apelin is the endogenous ligand for the G protein-coupled receptor, APJ. Previously, we have revealed that apelin-13 can induce cardiomyocyte hypertrophy by activating the autophagy pathway. However, the precise mechanism through which apelin-13 regulates reticulophagy to participate in cardiomyocyte hypertrophy remains unclear. Herein, we observed that apelin-13-induced cardiomyocyte hypertrophy by activating FAM134B-dependent reticulophagy via the Pannexin-1/P2X7 signal pathway. Furthermore, we found that apelin-13 stimulated the opening of Pannexin-1 hemichannel and increased extracellular ATP (eATP) levels, which activated the P2X7 purinergic receptor. Activation of the Pannexin-1/eATP/P2X7 axis subsequently led to FAM134B-dependent reticulophagy. Moreover, inhibition of the Pannexin-1/P2X7 axis and FAM134B-dependent reticulophagy reversed apelin-13-induced cardiomyocyte hypertrophy. Based on our present findings, apelin-13/APJ induces cardiomyocyte hypertrophy by activating the Pannexin-1/P2X7 axis and FAM134B-dependent reticulophagy.

A novel immune-related epigenetic signature based on the transcriptome for predicting the prognosis and therapeutic response of patients with diffuse large B-cell lymphoma.

Epigenetic modifications contribute to lymphomagenesis. Here, we performed an expression clustering analysis and identified two epigenetic-related clusters (EC1 and EC2). EC1 presented abundant TP53, MYD88, HIST1H1D, HIST1H1C, KMT2D and EZH2 mutations and an inferior prognosis. Pathways involved in the regulation of DNA methylation/demethylation, histone methyltransferase activity, and protein methyltransferase activity were significantly enriched in EC1. However, EC2 was frequently accompanied by B2M, CD70 and MEF2B mutations, which presented with enrichments in DNA damage repair, cytokine-mediated and B-cell activated immune signaling, increased levels of CD8+ T-, γδT- and T helper-cells, as well as immune scores and immunogenic cell death (ICD) modulators. According to the prediction, EC1 was more sensitive to vorinostat, serdemetan and navitoclax. However, ruxolitinib, cytarabine and CP466722 were more suitable treatments for EC2. The novel immune-related epigenetic signature exhibits promising clinical predictive value for diffuse large B-cell lymphoma (DLBCL), particularly for guiding epigenetic therapeutic regimens. R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) based combination treatment regimens are suggested.

Tracking the evolution of untreated high-intermediate/high-risk diffuse large B-cell lymphoma by circulating tumour DNA.

Diffuse large B-cell lymphoma (DLBCL) is a highly heterogenous malignancy, early identification of patients for relapse remains challenging. The potential to non-invasively monitor tumour evolutionary dynamics of DLBCL needs to be further established. In the present study, 17 tumour biopsy and 38 plasma samples from 38 patients with high-intermediate/high-risk DLBCL were evaluated at baseline. Longitudinal blood samples were also collected during therapy. Circulating tumour DNA (ctDNA) was analysed using targeted sequencing based on a gene panel via a recently developed methodology, circulating single-molecule amplification and re-sequencing technology (cSMART). We found that the most frequently mutated genes were tumour protein p53 (TP53; 42·1%), histone-lysine N-methyltransferase 2D (KMT2D; 28·9%), caspase recruitment domain family member 11 (CARD11; 21·1%), cAMP response element-binding protein binding protein (CREBBP; 15·8%), ß2 -microglobulin (B2M; 15·8%), and tumour necrosis factor alpha-induced protein 3 (TNFAIP3; 15·8%). The mutation profiles between ctDNA and matched tumour tissue showed good concordance; however, more mutation sites were detected in ctDNA samples. Either TP53 or B2M mutations before treatment predicted poor prognosis. Analysis of dynamic blood samples confirmed the utility of ctDNA for the real-time assessment of treatment response and revealed that the increases in ctDNA levels and changes in KMT2D mutation status could be useful predictors of disease progression. Our present results suggest that ctDNA is a promising method for the detection of mutation spectrum and serves as a biomarker for disease monitoring and predicting clinical recurrence.

A novel clinical immune-related prognostic model predicts the overall survival of mantle cell lymphoma.

The mantle cell lymphoma (MCL) International Prognostic Index (MIPI) and combined MIPI (MIPI-c) are commonly used for risk classification of MCL patients. However, these indexes lack immune-related parameters. The purpose of this study was to develop a novel prognostic model that integrated clinical and immune parameters. A total of 189 patients with newly diagnosed MCL from January 2010 to June 2020 were enrolled in our study. A nomogram and immune-related prognostic index (IRPI) were established to predict the overall survival (OS) of patients according to univariate and multivariate analyses. Discrimination and calibration were used to compare the prognostic performance of the IRPI, MIPI, and MIPI-c. External validation was performed based on validation dataset (n = 150) from two other centers. The results for the training dataset indicated that B symptoms, platelet count, B2M level, CD4+ T-cell count<26.7% and CD8+ T-cell count>44.2% were predictors for OS. All the prognostic factors were integrated into the nomogram. For the overlap of confidence intervals of each variable, we assigned one point for each factor. The IRPI categorized patients into three risk categories: a score of zero indicated low risk, a score of one or two indicated intermediate risk, and a score of ≥3 indicated high risk. The IRPI showed better discrimination and calibration power than the MIPI and MIPI-c in the training dataset and validation dataset. The novel IRPI is a refined risk stratification index and reflects the strong complementary prognostic effects between clinical and immune parameters in MCL.

Risk factors for POD24 in patients with previously untreated follicular lymphoma: a systematic review and meta-analysis.

Progression of disease within 24 months (POD24) is strongly associated with a poor outcome in patients with follicular lymphoma (FL). Our study aimed to identify the potential risk factors for POD24 in patients with FL. Medline, EMBASE and the Cochrane Library were systematically searched from the earliest record to September 2020. Studies investigating the prognostic factors for POD24 in patients with newly diagnosed grade 1-3a FL were included. Among 10,014 pieces of literature, a total of 90 studies investigating 82 risk factors were included for qualitative analysis. Meta-analyses were performed in 31 studies with 11 factors. Results showed that elevated sIL-2R, ß2m and LDH, total metabolic tumour volume > 510 cm3, vitamin D < 20 ng/mL, grade 3a and lymphoma-associated macrophages/high-power field ≥ 15 were significantly associated with an increased risk of POD24. No significant association was found between POD24 and the ALC/AMC ratio, sex, T effector signature or EZH2 genetic alteration. Additionally, minimal residual disease, Ki-67, PD-1 and TP53 were analysed narratively. Overall, this is the first study that comprehensively analysed the prognostic factors associated with POD24 in FL patients. We have confirmed the significance value of several common prognostic factors as well as others not commonly included in clinical study, helping to construct an integrated and more efficient model.

The REEP family of proteins: Molecular targets and role in pathophysiology.

Receptor expression-enhancing proteins (REEPs) are an evolutionarily conserved protein family that is pivotal to the structure and function of the endoplasmic reticulum (ER). The REEP family can be classified into two major subfamilies in higher species, the REEP1-4 and REEP5-6 subfamilies. Within the REEP1-4 subfamily, REEP1 and REEP2 are closely related, and REEP3 and REEP4 are similarly related. The REEP family is widely distributed in various tissues. Recent studies indicate that the REEP family is involved in many pathological and physiological processes, such as ER morphogenesis and remodeling, microtubule cytoskeleton regulation, and the trafficking and expression of G protein-coupled receptors (GPCRs). Moreover, the REEP family plays crucial roles in the occurrence and development of many diseases, including neurological diseases, diabetes, retinal diseases, cardiac diseases, infertility, obesity, oligoarticular juvenile idiopathic arthritis (OJIA), COVID-19, and cancer. In the present review, we describe the distribution and structure of the REEP family. Furthermore, we summarize the functions and the associated diseases of this family. Based on the pleiotropic actions of the REEP family, the study of its family members is crucial to understanding the relevant pathophysiological processes and developing strategies to modulate and control these related diseases.

Dihydroartemisinin enhances the inhibitory effect of sorafenib on HepG2 cells by inducing ferroptosis and inhibiting energy metabolism.

Although sorafenib (Sora) shows improved efficacy in clinical liver cancer therapy, its therapeutic efficacy is still greatly limited due to side effects as well as drug resistance. Thus new drug intervention strategies are imperative. Our research showed the combined application of Dihydroartemisinin (DHA) and Sora had a synergistic inhibitory effect on HepG2 and SW480 cells, and DHA enhanced Sora efficacy on xenograft tumor in nude mice. DHA and Sora significantly inhibited the cell energy metabolism by decreasing the ATP synthesis rate of oxidative phosphorylation and glycolysis rate, and induced ferroptosis by increasing the level of lipid reactive oxygen species (L-ROS), labile iron pool (LIP) as well as malondialdehyde (MDA) and decreasing the level of glutathione (GSH) in HepG2 cells. In addition, DHA and Sora significantly decreased the levels of SLC7A11 (xCT), GCLC, GPX4, and HO-1 protein in HepG2 cells. Importantly, the above-mentioned indicators changed more significantly after the combined application of DHA and Sora as compared with Sora. In conclusion, DHA and Sora had the same mechanism, and the combined application of them could have a synergistic anti-tumor effect by inducing ferroptosis and inhibiting energy metabolism in HepG2 cells.