The critical role of BTRC in hepatic steatosis as an ATGL E3 ligase.

Non-alcoholic fatty liver disease (NAFLD), characterized by hepatic steatosis, is one of the commonest causes of liver dysfunction. Adipose triglyceride lipase (ATGL) is closely related to lipid turnover and hepatic steatosis as the speed-limited triacylglycerol lipase in liver lipolysis. However, the expression and regulation of ATGL in NAFLD remain unclear. Herein, our results showed that ATGL protein levels were decreased in the liver tissues of high-fat diet (HFD)-fed mice, naturally obese mice, and cholangioma/hepatic carcinoma patients with hepatic steatosis, as well as in the oleic acid-induced hepatic steatosis cell model, while ATGL mRNA levels were not changed. ATGL protein was mainly degraded through the proteasome pathway in hepatocytes. Beta-transducin repeat containing (BTRC) was upregulated and negatively correlated with the decreased ATGL level in these hepatic steatosis models. Consequently, BTRC was identified as the E3 ligase for ATGL through predominant ubiquitination at the lysine 135 residue. Moreover, adenovirus-mediated knockdown of BTRC ameliorated steatosis in HFD-fed mouse livers and oleic acid-treated liver cells via upregulating the ATGL level. Taken together, BTRC plays a crucial role in hepatic steatosis as a new ATGL E3 ligase and may serve as a potential therapeutic target for treating NAFLD.

Effects of SARS-CoV-2 infection on embryological outcomes in assisted reproductive technology during the Omicron epidemic.

BACKGROUND: The influence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on assisted reproductive technology (ART) has received increasing attention. It has been reported that the SARS-CoV-2 RiboNucleic Acid (RNA) cannot be detected in follicular fluid and granulosa cells. However, the detection rate of SARS-CoV-2 RNA in immature oocytes and blastocysts has still unknown. Moreover, the effect of SARS-CoV-2 infection on embryological outcomes in ART during the Omicron epidemic is limited. METHODS: A prospective study was performed to explore the detection rate of viral RNA in biological specimens from patients who tested positive for SARS-CoV-2 RNA and the effects of SARS-CoV-2 infection on embryological outcomes. A total of 211 patients underwent transvaginal oocyte retrieval at the Third Affiliated Hospital of Guangzhou Medical University between December 13, 2022 and December 30, 2022. Prior to transvaginal oocyte retrieval, 61 individuals tested positive for SARS-CoV-2 RNA within 24 h. Follicular fluid was preserved during oocyte retrieval. Granular cells were collected after degranulation (Intracytoplasmic sperm injection only). Immature oocytes were collected at the end of the ICSI. Unavailable blastocysts were collected on day 6 (D6). The TIANLONG SARS-CoV-2 RT-PCR-Kit was used to detect SARS-CoV-2 RNA in all samples. The COVID-19 and Non COVID-19 groups were contrasted in the following areas: fertilization rate, 2PN rate, Day 3 (D3) available embryos rate, D3 good-quality embryos rate, blastocyst formation rate, good-quality blastocyst formation rate. RESULTS: All samples were negative except for an immature oocytes sample that was positive for SARS-CoV-2 viral RNA with a detection rate of 6.67%. Whether in-vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI), the rate of fertilization, 2PN, D3 available embryos, D3 good-quality embryos, blastocyst formation, good-quality blastocyst formation was not significantly negative different between the COVID-19 and the Non COVID-19 groups. Our findings were validated by an overview of the embryological outcome from the cycles before SARS- Cov-2 infection from the same patient. CONCLUSIONS: Except for immature oocytes, none of the follicular fluid, granulosa cells, or blastocysts samples contained viral RNA. In addition, SARS-CoV-2 infection had no detrimental effects on the embryological outcomes of ART.

Corrigendum: Systems pharmacology approach to investigate the mechanism of Kai-Xin-San in Alzheimer's disease.

[This corrects the article DOI: 10.3389/fphar.2020.00381.].

Diagnostic value of aberrant decreased 5-Methylcytosine RNA modification in leukocytes for non-small cell lung cancer.

Background: Non-small cell lung cancer (NSCLC) was a disease with poor outcomes, partly because there were no high-efficiency non-invasive diagnostic biomarkers. The RNA modification status of 5-Methylcytosine (m5C) has been shown to be a biomarker for various diseases, but its potentiality to be a diagnostic biomarker for NSCLC remained inconclusive. Methods: In this research, we collected peripheral leukocyte samples from 141 patients with NSCLC and 90 normal people as controls to evaluate the extent of m5C RNA modification. Results: We found that the m5C modification levels in leukocytes of NSCLC patients were decreased dramatically, which were compared to the normal controls, and levels of m5C modification decreased progressively with tumor stage. Importantly, m5C modification exhibited superior diagnostic value compared to carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCC), cytokeratin 19 fragment (Cyfra21-1), and carbohydrate antigen 125 (CA125), which demonstrated area under the curves (AUCs) of 0.912, 0.773, 0.669, 0.754, and 0.732, respectively. The combination of m5C modification with these serum tumor biomarkers further improved the AUC to 0.960. A nomogram model incorporating m5C modification also provided an effectively diagnostic tool for NSCLC. Conclusion: Collectively, our findings suggested that m5C modification in leukocytes held promise as a prospective biomarker for NSCLC diagnosis.

FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.

Survival analysis is to estimate the survival time for an individual or a group of patients, which is a valid solution for cancer treatments. Recent studies suggested that the integrative analysis of histopathological images and genomic data can better predict the survival of cancer patients than simply using single bio-marker, for different bio-markers may provide complementary information. However, for the given multi-modal data that may contain irrelevant or redundant features, it is still challenge to design a distance metric that can simultaneously discover significant features and measure the difference of survival time among different patients. To solve this issue, we propose a Feature-Aware Multi-modal Metric Learning method (FAM3L), which not only learns the metric for distance constraints on patients' survival time, but also identifies important images and genomic features for survival analysis. Specifically, for each modality of data, we firstly design one feature-aware metric that can be decoupled into a traditional distance metric and a diagonal weight for important feature identification. Then, in order to explore the complex correlation across multiple modality data, we apply Hilbert-Schmidt Independence Criterion (HSIC) to jointly learn multiple metrics. Finally, based on the learned distance metrics, we apply the Cox proportional hazards model for prognosis prediction. We evaluate the performance of our proposed FAM3L method on three cancer cohorts derived from The Cancer Genome Atlas (TCGA), the experimental results demonstrate that our method can not only achieve superior performance for cancer prognosis, but also identify meaningful image and genomic features correlating strongly with cancer survival.

Increased levels of N6-methyladenosine in peripheral blood RNA: a perspective diagnostic biomarker and therapeutic target for non-small cell lung cancer.

OBJECTIVES: Due to lack of effective biomarkers for non-small cell lung cancer (NSCLC), many patients are diagnosed at an advanced stage, which leads to poor prognosis. Dysregulation of N6-methyladenosine (m6A) RNA contributes significantly to tumorigenesis and tumor progression. However, the diagnostic value of m6A RNA status in peripheral blood to screen NSCLC remains unclear. METHODS: Peripheral blood samples from 152 NSCLC patients and 64 normal controls (NCs) were applied to assess the m6A RNA levels. Bioinformatics and qRT-PCR analysis were performed to identify the specific immune cells in peripheral blood cells and investigate the mechanism of the alteration of m6A RNA levels. RESULTS: Robust elevation of m6A RNA levels of peripheral blood cells was exhibited in the NSCLC group. Moreover, the m6A levels increased as NSCLC progressed, and reduced after treatment. The m6A levels contained area under the curve (AUC) was 0.912, which was remarkably greater than the AUCs for CEA (0.740), CA125 (0.743), SCC (0.654), and Cyfra21-1 (0.730). Furthermore, the combination of these traditional biomarkers with m6A levels elevated the AUC to 0.970. Further analysis established that the expression of m6A erasers FTO and ALKBH5 were both markedly reduced and negatively correlated with m6A levels in peripheral blood of NSCLC. Additionally, GEO database and flow cytometry analysis implied that FTO and ALKBH5 attributes to peripheral CD4+ T cells proportion and activated the immune functions of T cells. CONCLUSIONS: These findings unraveled that m6A RNA of peripheral blood immune cells was a prospective biomarker for the diagnosis of NSCLC.

Kallistatin prevents ovarian hyperstimulation syndrome by regulating vascular leakage.

Angiogenesis and increased permeability are essential pathological basis for the development of ovarian hyperstimulation syndrome (OHSS). Kallistatin (KS) is an endogenous anti-inflammatory and anti-angiogenic factor that participates in a variety of diseases, but its role in OHSS remains unknown. In this study, treating a human ovarian granulosa-like tumour cell line KGN and human primary granulosa cells (PGCs) with human chorionic gonadotropin (hCG) reduced the expression of KS, but increased the expression of VEGF. Furthermore, we found that KS could attenuate the protein level of VEGF in both KGN cells and human PGCs. More interestingly, we observed that exogenous supplementation of KS significantly inhibited a series of signs of OHSS in mice, including weight gain, ovarian enlargement, increased vascular permeability and up-regulation of VEGF expression. In addition, KS was proved to be safe on mice ovulation, progression of normal pregnancy and fetus development. Collectively, these findings demonstrated that KS treatment prevented OHSS, at least partially, through down-regulating VEGF expression. For the first time, these results highlight the potential preventive value of KS in OHSS.

Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications.

With the remarkable success of digital histopathology, we have witnessed a rapid expansion of the use of computational methods for the analysis of digital pathology and biopsy image patches. However, the unprecedented scale and heterogeneous patterns of histopathological images have presented critical computational bottlenecks requiring new computational histopathology tools. Recently, deep learning technology has been extremely successful in the field of computer vision, which has also boosted considerable interest in digital pathology applications. Deep learning and its extensions have opened several avenues to tackle many challenging histopathological image analysis problems including color normalization, image segmentation, and the diagnosis/prognosis of human cancers. In this paper, we provide a comprehensive up-to-date review of the deep learning methods for digital H&E-stained pathology image analysis. Specifically, we first describe recent literature that uses deep learning for color normalization, which is one essential research direction for H&E-stained histopathological image analysis. Followed by the discussion of color normalization, we review applications of the deep learning method for various H&E-stained image analysis tasks such as nuclei and tissue segmentation. We also summarize several key clinical studies that use deep learning for the diagnosis and prognosis of human cancers from H&E-stained histopathological images. Finally, online resources and open research problems on pathological image analysis are also provided in this review for the convenience of researchers who are interested in this exciting field.

Multiplexed Lab-on-a-Chip Bioassays for Testing Antibodies against SARS-CoV-2 and Its Variants in Multiple Individuals.

Neutralization assays that can measure neutralizing antibodies in serum are vital for large-scale serodiagnosis and vaccine evaluation. Here, we establish multiplexed lab-on-a-chip bioassays for testing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants. Compared with enzyme-linked immunosorbent assay (ELISA), our method exhibits a low consumption of sample and reagents (10 µL), a low limit of detection (LOD: 0.08 ng/mL), a quick sample-to-answer time (about 70 min), and multiplexed ability (5 targets in each of 7 samples in one assay). We can also increase the throughput as needed. The concentrations of antibodies against RBD, D614G, N501Y, E484K, and L452R/E484Q-mutants after two doses of vaccines are 6.6 ± 3.6, 8.7 ± 4.6, 3.4 ± 2.8, 3.8 ± 2.8, and 2.8 ± 2.3 ng/mL, respectively. This suggests that neutralizing activities against N501Y, E484K, and L452R/E484Q-mutants were less effective than RBD and D614G-mutant. We performed a plaque reduction neutralization test (PRNT) for all volunteers. Compared with PRNT, our assay is fast, accurate, inexpensive, and multiplexed with multiple-sample processing ability, which is good for large-scale serodiagnosis and vaccine evaluation.

Elevated N6-Methyladenosine RNA Levels in Peripheral Blood Immune Cells: A Novel Predictive Biomarker and Therapeutic Target for Colorectal Cancer.

Effective biomarkers for the diagnosis of colorectal cancer (CRC) are essential for improving prognosis. Imbalance in regulation of N6-methyladenosine (m6A) RNA has been associated with a variety of cancers. However, whether the m6A RNA levels of peripheral blood can serve as a diagnostic biomarker for CRC is still unclear. In this research, we found that the m6A RNA levels of peripheral blood immune cells were apparently elevated in the CRC group compared with those in the normal controls (NCs) group. Furthermore, the m6A levels arose as CRC progressed and metastasized, while these levels decreased after treatment. The area under the curve (AUC) of the m6A levels was 0.946, which was significantly higher than the AUCs for carcinoembryonic antigen (CEA; 0.817), carbohydrate antigen 125 (CA125; 0.732), and carbohydrate antigen 19-9 (CA19-9; 0.771). Moreover, the combination of CEA, CA125, and CA19-9 with m6A levels improved the AUC to 0.977. Bioinformatics and qRT-PCR analysis further confirmed that the expression of m6A modifying regulator IGF2BP2 was markedly elevated in peripheral blood of CRC patients. Gene set variation analysis (GSVA) implied that monocyte was the most abundant m6A-modified immune cell type in CRC patients' peripheral blood. Additionally, m6A modifications were negatively related to the immune response of monocytes. In conclusion, our results revealed that m6A RNA of peripheral blood immune cells was a prospective non-invasive diagnostic biomarker for CRC patients and might provide a valuable therapeutic target.

Digital Hybridization Human Papillomavirus Assay with Attomolar Sensitivity without Amplification.

Detection of nucleic acid without amplification can avoid problems associated with thermal cycling such as labor-intensiveness and aerosol pollution. Here we develop a droplet-based digital microfluidic hybridization assay for nucleic acid detection with attomolar sensitivity. This assay provides a clinically useful sensitivity for detecting human papillomavirus (HPV) without amplification. The sensitivity is accomplished using femtoliter-sized droplet microfluidics for concentrating enzyme-catalyzed fluorescent products into a detectable signal and magnetic beads for accelerating reaction time. Meanwhile, using magnetic beads and droplet microfluidic chips, we can improve the sampling efficiency over conventional methods. We characterized the sensitivity, selectivity, detection range, stability, and accuracy of our assay. Our assay is 50-fold more sensitive than the traditional hybrid capture assay. The assay without amplification avoids problems of complex handling procedures and aerosol pollution. The direct and sensitive detection of nucleic acid using a droplet microfluidic system provides an early disease diagnosis tool.

Near-Infrared Radiation-Assisted Drug Delivery Nanoplatform to Realize Blood-Brain Barrier Crossing and Protection for Parkinsonian Therapy.

Mitochondrial dysfunction, which is directly involved in Parkinson's disease (PD), is characterized by the production of reactive oxygen species (ROS) and aberrant energy metabolism. Thus, regulating mitochondrial function might be an effective strategy to treat PD. However, the blood-brain barrier (BBB) presents a significant challenge for the intracerebral delivery of drugs. Here, we synthesized a zeolitic imidazolate framework 8-coated Prussian blue nanocomposite (ZIF-8@PB), which was encapsulated with quercetin (QCT), a natural antioxidant, to treat PD. ZIF-8@PB-QCT exhibited superior near-infrared radiation (NIR) response and penetrated through the BBB to the site of mitochondrial damage guided by the photothermal effect. In the mice model of PD, the QCT released from ZIF-8@PB-QCT significantly increased the adenosine triphosphate levels, reduced the oxidative stress levels, and reversed dopaminergic neuronal damage as well as PD-related behavioral deficits without any damage to the normal tissues. Furthermore, we explored the underlying neuroprotective mechanism of ZIF-8@PB-QCT that was mediated by activating the PI3K/Akt signaling pathway. Thus, combined with noninvasive NIR radiation, the biocompatible ZIF-8@PB-QCT nanocomposite could be used to treat neurodegenerative diseases.

Adipose triglyceride lipase promotes the proliferation of colorectal cancer cells via enhancing the lipolytic pathway.

Abnormal lipid metabolism is the sign of tumour cells. Previous researches have revealed that the lipolytic pathway may contribute to the progression of colorectal cancer (CRC). However, adipose triglyceride lipase (ATGL) role in CRC cells remains unclear. Here, we find that elevated ATGL positively correlates with CRC clinical stages and negatively associates with overall survival. Overexpression of ATGL significantly promotes CRC cell proliferation, while knockdown of ATGL inhibits the proliferation and promotes the apoptosis of CRC cells in vitro. Moreover, in vivo experiments, ATGL promotes the growth of CRC cells. Mechanistically, ATGL enhances the carcinogenic function of CRC cells via promoting sphingolipid metabolism and CoA biosynthesis pathway-related gene levels by degrading triglycerides, which provides adequate nutrition for the progression of CRC. Our researches clarify for the first time that ATGL is a novel oncogene in CRC and may provide an important prognostic factor and therapeutic target for CRC.

In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy.

Advances in immunotherapy have revolutionized treatments in many types of cancer. Traditional Chinese Medicine (TCM), which has a long history of clinical adjuvant application against cancer, is emerging as an important medical resource for developing innovative cancer treatments, including immunotherapy. In this study, we developed a quantitative and systems pharmacology-based framework to identify TCM-derived natural products for cancer immunotherapy. Specifically, we integrated 381 cancer immune response-related genes and a compound-target interaction network connecting 3273 proteins and 766 natural products from 66 cancer-related herbs based on literature-mining. Via systems pharmacology-based prediction, we uncovered 182 TCM-derived natural products having potential anti-tumor immune responses effect. Importantly, 32 of the 49 most promising natural products (success rate = 65.31%) are validated by multiple evidence, including published experimental data from clinical studies, in vitro and in vivo assays. We further identified the mechanism-of-action of TCM in cancer immunotherapy using network-based functional enrichment analysis. We showcased that three typical natural products (baicalin, wogonin, and oroxylin A) in Huangqin (Scutellaria baicalensis Georgi) potentially overcome resistance of known oncology agents by regulating tumor immunosuppressive microenvironments. In summary, this study offers a novel and effective systems pharmacology infrastructure for potential cancer immunotherapeutic development by exploiting the medical wealth of natural products in TCM.

Overexpression of FUBP1 is associated with human cervical carcinoma development and prognosis.

AIMS: Far upstream element-binding protein 1 (FUBP1) has been shown to involve in the tumorigenesis and tumor progression of various cancers. However, the expression and function of FUBP1 in cervical carcinoma remains unknown. MAIN METHODS: Transcriptional expression of FUBP1 was initially evaluated using the Oncomine database, followed by evaluation of FUBP1 protein levels using immunohistochemistry in 119 cervical carcinoma patient tissues. In vitro experiments were performed to assess the tumorigenic role of FUBP1. Besides, Gene Set Enrichment Analysis, EnrichmentMap analysis, and protein-protein interaction (PPI) networks were used to evaluate the potential mechanisms of FUBP1 in promoting cervical cancer progression. KEY FUNDINGS: In this research, we found both FUBP1 mRNA transcription and protein expression levels increased significantly in cervical carcinoma tissues compared with adjacent normal cervical tissues. Furthermore, elevated FUBP1 expression was positively correlated with age, T classification, N classification, tumor recurrence, Ki67 expression, and poor prognosis in cervical carcinoma patients. Besides, elevated FUBP1 expression acted as an independent unfavorable predictor for overall survival and disease-free survival in cervical carcinoma. Overexpression of FUBP1 significantly promoted cervical carcinoma cell proliferation and inhibits cell apoptosis in vitro, while knockdown of FUBP1 showed the opposite effect. Mechanistically, bioinformatics analysis revealed that FUBP1 promoted the biological function of cervical carcinoma cells via enhancing DNA repair signal pathways. Our results demonstrate for the first time that FUBP1 is a novel prognostic factor and therapeutic target for cervical carcinoma.

Chiauranib selectively inhibits colorectal cancer with KRAS wild-type by modulation of ROS through activating the p53 signaling pathway.

Colorectal cancer (CRC) is one of the top three most deadly cancers despite using chemotherapy based on oxaliplatin or irinotecan combined with targeted therapy. Chiauranib has recently been identified to be a promising anticancer candidate with impressive efficacy and safety. However, the role and molecular mechanisms of Chiauranib in the treatment of CRC remain to be elucidated. Our study shows that Chiauranib inhibits cell proliferation and induces apoptosis in KRAS wild-type CRC cells in a dose- and time-dependent manner, but not mutation ones. Meanwhile, Chiauranib increases ROS production in KRAS wild-type CRC cells. Moreover, Chiauranib selectively suppresses KRAS wild-type CRC cells growth in vivo. Mechanistically, Chiauranib inhibits KRAS wild-type CRC cells by triggering ROS production via activating the p53 signaling pathway. Further, KRAS mutation CRC cells are resistant to Chiauranib by increasing Nrf2 to stably elevate the basal antioxidant program and thereby lower intracellular ROS induced by Chiauranib. Our findings provide the rationale for further clinical evaluation of Chiauranib as a therapeutic agent in treating KRAS wild-type CRC.

Zebrafish: A Promising Model for Evaluating the Toxicity of Carbon Dot-Based Nanomaterials.

Carbon dots (CDs) exhibit a wide range of desirable properties including excellent photoluminescence, photostability, and water solubility, making them ideally suitable for use in the context of drug delivery, bioimaging, and related biomedical applications. Before these CDs can be translated for use in humans, however, further research regarding their in vivo toxicity is required. Owing to their low cost, rapid growth, and significant homology to humans, zebrafish (Danio rerio) are commonly employed as in vivo model systems in the toxicity studies of nanomaterials. In the present report, our group employed a hydrothermal approach to synthesize CDs and then assessed their toxicity in zebrafish. The resultant CDs were roughly 2.4 nm spheroid particles that emitted strong blue fluorescence in response to the excitation at 365 nm. These CDs did not induce any evident embryonic toxicity or did cause any apparent teratogenic effects during hatching or development when dosed at 150 µg/mL. However, significant effects were observed in zebrafish embryos at CD concentrations >200 µg/mL, including pericardial and yolk sac edema, delayed growth, spinal cord flexure, and death. These high CD concentrations were further associated with the reduction in zebrafish larval locomotor activity and decreased dopamine levels, reduced frequencies of tyrosine hydroxylase-positive dopaminergic neurons, and multiple organ damage. Further studies will be required to fully understand the mechanistic basis for CD-mediated neurotoxicity, with such studies being essential to fully understand the translational potential of these unique nanomaterials.

Comprehensive assessment of side effects in COVID-19 drug pipeline from a network perspective.

Currently, coronavirus disease 2019 (COVID-19), has posed an imminent threat to global public health. Although some current therapeutic agents have showed potential prevention or treatment, a growing number of associated adverse events have occurred on patients with COVID-19 in the course of medical treatment. Therefore, a comprehensive assessment of the safety profile of therapeutic agents against COVID-19 is urgently needed. In this study, we proposed a network-based framework to identify the potential side effects of current COVID-19 drugs in clinical trials. We established the associations between 116 COVID-19 drugs and 30 kinds of human tissues based on network proximity and gene-set enrichment analysis (GSEA) approaches. Additionally, we focused on four types of drug-induced toxicities targeting four tissues, including hepatotoxicity, renal toxicity, lung toxicity, and neurotoxicity, and validated our network-based predictions by preclinical and clinical evidence available. Finally, we further performed pharmacovigilance analysis to validate several drug-tissue toxicities via data mining adverse event reporting data, and we identified several new drug-induced side effects without labeling in Food and Drug Administration (FDA) drug instructions. Overall, this study provides forceful approaches to assess potential side effects on COVID-19 drugs, which will be helpful for their safe use in clinical practice and promoting the discovery of antiviral therapeutics against SARS-CoV-2.

The HMGB1-RAGE axis modulates the growth of autophagy-deficient hepatic tumors.

Autophagy is an intracellular lysosomal degradative pathway important for tumor surveillance. Autophagy deficiency can lead to tumorigenesis. Autophagy is also known to be important for the aggressive growth of tumors, yet the mechanism that sustains the growth of autophagy-deficient tumors is not unclear. We previously reported that progression of hepatic tumors developed in autophagy-deficient livers required high mobility group box 1 (HMGB1), which was released from autophagy-deficient hepatocytes. In this study we examined the pathological features of the hepatic tumors and the mechanism of HMGB1-mediated tumorigenesis. We found that in liver-specific autophagy-deficient (Atg7ΔHep) mice the tumors cells were still deficient in autophagy and could also release HMGB1. Histological analysis using cell-specific markers suggested that fibroblast and ductular cells were present only outside the tumor whereas macrophages were present both inside and outside the tumor. Genetic deletion of Hmgb1 or one of its receptors, receptor for advanced glycated end product (Rage), retarded liver tumor development. HMGB1 and RAGE enhanced the proliferation capability of the autophagy-deficient hepatocytes and tumors. However, RAGE expression was only found on ductual cells and Kupffer's cells but not on hepatoctyes, suggesting that HMGB1 might promote hepatic tumor growth through a paracrine mode, which altered the tumor microenvironment. Finally, RNAseq analysis of the tumors indicated that HMGB1 induced a much broad changes in tumors. In particular, genes related to mitochondrial structures or functions were enriched among those differentially expressed in tumors in the presence or absence of HMGB1, revealing a potentially important role of mitochondria in sustaining the growth of autophagy-deficient liver tumors via HMGB1 stimulation.