MFN2 suppresses the accumulation of lipid droplets and the progression of clear cell renal cell carcinoma.

Dissolving the lipid droplets in tissue section with alcohol during a hematoxylin and eosin (H&E) stain causes the tumor cells to appear like clear soap bubbles under a microscope, which is a key pathological feature of clear cell renal cell carcinoma (ccRCC). Mitochondrial dynamics have been reported to be closely associated with lipid metabolism and tumor development. However, the relationship between mitochondrial dynamics and lipid metabolism reprogramming in ccRCC remains to be further explored. We conducted bioinformatics analysis to identify key genes regulating mitochondrial dynamics differentially expressed between tumor and normal tissues and immunohistochemistry and Western blot to confirm. After the target was identified, we created stable ccRCC cell lines to test the impact of the target gene on mitochondrial morphology, tumorigenesis in culture cells and xenograft models, and profiles of lipid metabolism. It was found that mitofusin 2 (MFN2) was downregulated in ccRCC tissues and associated with poor prognosis in patients with ccRCC. MFN2 suppressed mitochondrial fragmentation, proliferation, migration, and invasion of ccRCC cells and growth of xenograft tumors. Furthermore, MFN2 impacted lipid metabolism and reduced the accumulation of lipid droplets in ccRCC cells. MFN2 suppressed disease progression and improved prognosis for patients with ccRCC possibly by interrupting cellular lipid metabolism and reducing accumulation of lipid droplets.

Benzaldehyde acts as a behaviorally active component in brewer's yeast protein powder which attracts B. dorsalis through olfaction.

The Oriental fruit fly, Bactrocera dorsalis, is a significant pest that damages a variety of fruit crops. The effectiveness of chemical pesticides against such pests is limited, raising concerns about pesticide residues and resistance. Proteins naturally attract B. dorsalis and have led to the development of a management strategy known as protein bait attractant technology (BAT). Although the attraction of protein sources to B. dorsalis is well-documented, the biologically active components within these sources are not fully understood. This study employed analytical chemistry, behavioral tests, and electrophysiological techniques to investigate the behaviorally active components of beer yeast protein powder (BYPD), aiming to provide a basis for improving and developing protein baits. An olfactory trap assay confirmed the attractiveness of BYPD, and five components with high abundance were identified from its headspace volatiles using GC-MS. These components included ethanol, isoamyl alcohol, ethyl decanoate, benzaldehyde, and phenylethyl alcohol. Mixtures of these five components demonstrated significant attraction to B. dorsalis adults, with benzaldehyde identified as a potential key component. The attractiveness of benzaldehyde required a relatively large dose, and it was most attractive to adults that had been starved from dusk until the following morning. Attraction of adult flies to benzaldehyde appeared mainly mediated by inputs from olfactory receptors. While EAG data supports that ionotropic receptors could influence the detection of benzaldehyde in female adults, they did not affect female behavior towards benzaldehyde. These findings indicate that benzaldehyde is an important behaviorally active component in BYPD and offer insights for developing novel protein lures to control B. dorsalis in an environmentally friendly manner.

Spermidine suppresses the activation of hepatic stellate cells to cure liver fibrosis through autophagy activator MAP1S.

BACKGROUND AND AIMS: Liver diseases present a wide range of fibrosis, from fatty liver with no inflammation to steatohepatitis with varying degrees of fibrosis, to established cirrhosis leading to HCC. In a multivariate analysis, serum levels of spermidine were chosen as the top metabolite from 237 metabolites and its levels were drastically reduced along with progression to advanced steatohepatitis. Our previous studies that showed spermidine supplementation helps mice prevent liver fibrosis through MAP1S have prompted us to explore the possibility that spermidine can alleviate or cure already developed liver fibrosis. METHODS: We collected tissue samples from patients with liver fibrosis to measure the levels of MAP1S. We treated wild-type and MAP1S knockout mice with CCl4 -induced liver fibrosis with spermidine and isolated HSCs in culture to test the effects of spermidine on HSC activation and liver fibrosis. RESULTS: Patients with increasing degrees of liver fibrosis had reduced levels of MAP1S. Supplementing spermidine in mice that had already developed liver fibrosis after 1 month of CCl4 induction for an additional 3 months resulted in significant reductions in levels of ECM proteins and a remarkable improvement in liver fibrosis through MAP1S. Spermidine also suppressed HSC activation by reducing ECM proteins at both the mRNA and protein levels, and increasing the number of lipid droplets in stellate cells. CONCLUSIONS: Spermidine supplementation is a potentially clinically meaningful approach to treating and curing liver fibrosis, preventing cirrhosis and HCC in patients.

Head Pose Estimation through Keypoints Matching between Reconstructed 3D Face Model and 2D Image.

Mainstream methods treat head pose estimation as a supervised classification/regression problem, whose performance heavily depends on the accuracy of ground-truth labels of training data. However, it is rather difficult to obtain accurate head pose labels in practice, due to the lack of effective equipment and reasonable approaches for head pose labeling. In this paper, we propose a method which does not need to be trained with head pose labels, but matches the keypoints between a reconstructed 3D face model and the 2D input image, for head pose estimation. The proposed head pose estimation method consists of two components: the 3D face reconstruction and the 3D-2D matching keypoints. At the 3D face reconstruction phase, a personalized 3D face model is reconstructed from the input head image using convolutional neural networks, which are jointly optimized by an asymmetric Euclidean loss and a keypoint loss. At the 3D-2D keypoints matching phase, an iterative optimization algorithm is proposed to match the keypoints between the reconstructed 3D face model and the 2D input image efficiently under the constraint of perspective transformation. The proposed method is extensively evaluated on five widely used head pose estimation datasets, including Pointing'04, BIWI, AFLW2000, Multi-PIE, and Pandora. The experimental results demonstrate that the proposed method achieves excellent cross-dataset performance and surpasses most of the existing state-of-the-art approaches, with average MAEs of 4.78∘ on Pointing'04, 6.83∘ on BIWI, 7.05∘ on AFLW2000, 5.47∘ on Multi-PIE, and 5.06∘ on Pandora, although the model of the proposed method is not trained on any of these five datasets.

Self-Difference Convolutional Neural Network for Facial Expression Recognition.

Facial expression recognition (FER) is a challenging problem due to the intra-class variation caused by subject identities. In this paper, a self-difference convolutional network (SD-CNN) is proposed to address the intra-class variation issue in FER. First, the SD-CNN uses a conditional generative adversarial network to generate the six typical facial expressions for the same subject in the testing image. Second, six compact and light-weighted difference-based CNNs, called DiffNets, are designed for classifying facial expressions. Each DiffNet extracts a pair of deep features from the testing image and one of the six synthesized expression images, and compares the difference between the deep feature pair. In this way, any potential facial expression in the testing image has an opportunity to be compared with the synthesized "Self"-an image of the same subject with the same facial expression as the testing image. As most of the self-difference features of the images with the same facial expression gather tightly in the feature space, the intra-class variation issue is significantly alleviated. The proposed SD-CNN is extensively evaluated on two widely-used facial expression datasets: CK+ and Oulu-CASIA. Experimental results demonstrate that the SD-CNN achieves state-of-the-art performance with accuracies of 99.7% on CK+ and 91.3% on Oulu-CASIA, respectively. Moreover, the model size of the online processing part of the SD-CNN is only 9.54 MB (1.59 MB ×6), which enables the SD-CNN to run on low-cost hardware.

An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition.

Wearable sensor-based HAR (human activity recognition) is a popular human activity perception method. However, due to the lack of a unified human activity model, the number and positions of sensors in the existing wearable HAR systems are not the same, which affects the promotion and application. In this paper, an information gain-based human activity model is established, and an attention-based recurrent neural network (namely Attention-RNN) for human activity recognition is designed. Besides, the attention-RNN, which combines bidirectional long short-term memory (BiLSTM) with attention mechanism, was tested on the UCI opportunity challenge dataset. Experiments prove that the proposed human activity model provides guidance for the deployment location of sensors and provides a basis for the selection of the number of sensors, which can reduce the number of sensors used to achieve the same classification effect. In addition, experiments show that the proposed Attention-RNN achieves F1 scores of 0.898 and 0.911 in the ML (Modes of Locomotion) task and GR (Gesture Recognition) task, respectively.

Spermidine Confers Liver Protection by Enhancing NRF2 Signaling Through a MAP1S-Mediated Noncanonical Mechanism.

Spermidine (SPD), a naturally occurring polyamine, has been recognized as a caloric restriction mimetic that confers health benefits, presumably by inducing autophagy. Recent studies have reported that oral administration of SPD protects against liver fibrosis and hepatocarcinogenesis through activation of microtubule associated protein 1S (MAP1S)-mediated autophagy. Nuclear factor (erythroid-derived 2)-like 2 (NRF2) is a transcription factor that mediates cellular protection by maintaining the cell's redox, metabolic, and proteostatic balance. In this study, we demonstrate that SPD is a noncanonical NRF2 inducer, and that MAP1S is a component of this noncanonical pathway of NRF2 activation. Mechanistically, MAP1S induces NRF2 signaling through two parallel mechanisms, both resulting in NRF2 stabilization: (1) MAP1S competes with Kelch-like ECH-associated protein 1 (KEAP1) for NRF2 binding through an ETGE motif, and (2) MAP1S accelerates p62-dependent degradation of KEAP1 by the autophagy pathway. We further demonstrate that SPD confers liver protection by enhancing NRF2 signaling. The importance of both NRF2 and p62-dependent autophagy in SPD-mediated liver protection was confirmed using a carbon tetrachloride-induced liver fibrosis model in wild-type, Nrf2-/- , p62-/- and Nrf2-/- ;p62-/- mice, as the protective effect of SPD was significantly reduced in NRF2 or p62 single knockout mice, and completely abolished in the double knockout mice. Conclusion: Our results demonstrate the pivotal role of NRF2 in mediating the health benefit of SPD, particularly in the context of liver pathologies.

An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People.

A fall detection module is an important component of community-based care for the elderly to reduce their health risk. It requires the accuracy of detections as well as maintains energy saving. In order to meet the above requirements, a sensing module-integrated energy-efficient sensor was developed which can sense and cache the data of human activity in sleep mode, and an interrupt-driven algorithm is proposed to transmit the data to a server integrated with ZigBee. Secondly, a deep neural network for fall detection (FD-DNN) running on the server is carefully designed to detect falls accurately. FD-DNN, which combines the convolutional neural networks (CNN) with long short-term memory (LSTM) algorithms, was tested on both with online and offline datasets. The experimental result shows that it takes advantage of CNN and LSTM, and achieved 99.17% fall detection accuracy, while its specificity and sensitivity are 99.94% and 94.09%, respectively. Meanwhile, it has the characteristics of low power consumption.

Mitochondrial E3 ubiquitin ligase 1 promotes autophagy flux to suppress the development of clear cell renal cell carcinomas.

Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors in the urinary system. Surgical intervention is the preferred treatment for ccRCC, but targeted biological therapy is required for postoperative recurrent or metastatic ccRCC. Autophagy is an intracellular degradation system for misfolded/aggregated proteins and dysfunctional organelles. Defective autophagy is associated with many diseases. Mul1 is a mitochondrion-associated E3 ubiquitin ligase and involved in the regulation of divergent pathophysiological processes such as mitochondrial dynamics, and thus affects the development of various diseases including cancers. Whether Mul1 regulates ccRCC development and what is the mechanism remain unclear. Histochemical staining and immunoblotting were used to analyze the levels of Mul1 protein in human renal tissues. Statistical analysis of information associated with tissue microarray and The Cancer Genome Atlas (TCGA) database was conducted to show the relationship between Mul1 expression and clinical features and survival of ccRCC patients. Impact of Mul1 on rates of cell growth and migration and autophagy flux were tested in cultured cancer cells. Herein we show that Mul1 promoted autophagy flux to facilitate the degradation of P62-associated protein aggresomes and adipose differentiation-related protein (ADFP)-associated lipid droplets and suppressed the growth and migration of ccRCC cells. Levels of Mul1 protein and mRNA were significantly reduced so that autophagy flux was likely blocked in ccRCC tissues, which is potentially correlated with enhancement of malignancy of ccRCC and impairment of patient survival. Therefore, Mul1 may promote autophagy to suppress the development of ccRCC.

Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification.

Most existing person re-identification methods focus on matching still person images across non-overlapping camera views. Despite their excellent performance in some circumstances, these methods still suffer from occlusion and the changes of pose, viewpoint or lighting. Video-based re-id is a natural way to overcome these problems, by exploiting space-time information from videos. One of the most challenging problems in video-based person re-identification is temporal alignment, in addition to spatial alignment. To address the problem, we propose an effective superpixel-based temporally aligned representation for video-based person re-identification, which represents a video sequence only using one walking cycle. Particularly, we first build a candidate set of walking cycles by extracting motion information at superpixel level, which is more robust than that at the pixel level. Then, from the candidate set, we propose an effective criterion to select the walking cycle most matching the intrinsic periodicity property of walking persons. Finally, we propose a temporally aligned pooling scheme to describe the video data in the selected walking cycle. In addition, to characterize the individual still images in the cycle, we propose a superpixel-based representation to improve spatial alignment. Extensive experimental results on three public datasets demonstrate the effectiveness of the proposed method compared with the state-of-the-art approaches.

Metastatic prostate cancer-associated P62 inhibits autophagy flux and promotes epithelial to mesenchymal transition by sustaining the level of HDAC6.

BACKGROUND: P62 (also named sequestosome-1, SQSTM1) is involved in autophagy regulation through multiple pathways. It interacts with autophagosomes-associated LC3-II and ubiquitinated protein aggregates to engulf the aggregates in autophagosomes, interacts with HDAC6 to inhibit its deacetylase activity to maintain the levels of acetylated α-tubulin and stabilities of microtubules to enhance autophagosome trafficking, and regulates autophagy initiation and cell survival. We performed immunohistochemistry staining of P62 in prostate tissues from prostate cancer patients and found that levels of P62 in patients with prostate adenocarcinomas (PCA) are significantly higher than those in patients with benign prostate hyperplasia (BPH). High levels of P62 predict high tumor grade and high intensity of metastasis. METHODS: We created prostate cancer cell lines stably overexpressing P62 and then suppress the expression of P62 in the cell line stably overexpressing P62 with CRISPR technology. Cell proliferation assay with crystal violet, cell migration assay, cell invasion assay, Western blot analysis, and confocal fluorescent microscopy were conducted to test the impact of altered levels of P62 on the growth, migration, invasion, epithelial-to-mesenchymal transition, autophagy flux, HDAC6 activity, and microtubular acetylation of cancer cells. RESULTS: P62 increased the levels of HDAC6 and reduced the acetylation of α-tubulin and the stability of microtubules. Consequently, high levels of P62 caused a promotion of epithelial-to-mesenchymal transition in addition to an impairment of autophagy flux, and further led to an enhancement of proliferation, migration, and invasion of prostate cancer cells. CONCLUSION: P62 promotes metastasis of PCA by sustaining the level of HDAC6 to inhibit autophagy and promote epithelial-to-mesenchymal transition.

Matrine inhibits the progression of prostate cancer by promoting expression of GADD45B.

BACKGROUND: Matrine is a naturally occurring alkaloid extracted from the Chinese herb Sophora flavescens. It has been demonstrated to exhibit antiproliferative properties, promote apoptosis, and inhibit cell invasion in a number of cancer cell lines by modulating the NF-κB pathway to downregulate the expression of MMP2 and MM9. It has also been shown to improve the efficacy of chemotherapy when it is combined with other chemotherapy drugs. However, the therapeutic potential of matrine for prostate cancer needs to be further studied. METHODS: We analyzed KEGG pathways of differential gene expression between matrine-treated and untreated prostate cancer cell lines and identified GADD45B as one of major target genes of matrine based on its role in apoptosis and prognosis value for prostate cancer patients in TCGA database. We further analyzed the expression of GADD45B protein in a tissue microarray and mRNA in TCGA database, and tested the synergistic impacts of matrine and GADD45B overexpression on proliferation, apoptosis, migration and invasion of prostate cancer cell DU145. RESULTS: Matrine promoted the expression of GADD45B, a tumor suppressive gene that is involved in the regulation of cell cycle, DNA damage repair, cell survival, aging, apoptosis and other cellular processes through p38/JNK, ROS-GADD45B-p38, or other signal pathways. Although GADD45B is elevated in prostate cancer tissues, levels of GADD45B in prostate tumor tissues are reduced at late stage of tumor invasion, and higher levels of GADD45B predict better survivals of prostate cancer patients. CONCLUSIONS: Matrine may be used to treat prostate cancer patients to increase the levels of GADD45B to inhibit tumor invasion and improve patient survivals.

MAP1S Protein Regulates the Phagocytosis of Bacteria and Toll-like Receptor (TLR) Signaling.

Phagocytosis is a critical cellular process for innate immune defense against microbial infection. The regulation of phagocytosis process is complex and has not been well defined. An intracellular molecule might regulate cell surface-initiated phagocytosis, but the underlying molecular mechanism is poorly understood (1). In this study, we found that microtubule-associated protein 1S (MAP1S), a protein identified recently that is involved in autophagy (2), is expressed primarily in macrophages. MAP1S-deficient macrophages are impaired in the phagocytosis of bacteria. Furthermore, we demonstrate that MAP1S interacts directly with MyD88, a key adaptor of Toll-like receptors (TLRs), upon TLR activation and affects the TLR signaling pathway. Intriguingly, we also observe that, upon TLR activation, MyD88 participates in autophagy processing in a MAP1S-dependent manner by co-localizing with MAP1 light chain 3 (MAP1-LC3 or LC3). Therefore, we reveal that an intracellular autophagy-related molecule of MAP1S controls bacterial phagocytosis through TLR signaling.

Elevation of SHARPIN Protein Levels in Prostate Adenocarcinomas Promotes Metastasis and Impairs Patient Survivals.

BACKGROUND: SHARPIN, SHANK-associated RH domain interacting protein, associates with a linear ubiquitin chain assembly complex (LUBAC) to regulate inflammation and immunity. It has been reported that SHARPIN is highly expressed in several human tumors including ovarian cancer and liver cancer. We found that SHARPIN is also highly expressed in prostate cancer cell lines of DU145, LNCAP, and PC-3. Suppression of SHARPIN caused an inhibition of NF-κB signal and decreases in tumorigenesis of cultured cells in NOD/SCID mouse model. Overexpression of SHARPIN in prostate cancer cells promoted cell growth and reduced apoptosis through NF-kB/ERK/Akt pathway and apoptosis-associated proteins. METHODS: We analyzed the expression of SHARPIN in prostate cancer tissues from 95 patients and its relationship with other clinical characteristics associated with PCA malignancies and patient survivals, and examined the impacts of SHARPIN suppression with siRNA on proliferation, angiogenesis, invasion, and expression levels of MMP-9 of prostate cancer cells and metastasis to lung by these cells in nude mice. RESULTS: High levels of SHARPIN were associated with high malignancies of PCA and predicted shorter survivals of PCA patients. Suppression of SHARPIN impaired cell proliferation, angiogenesis, and invasion and reduced levels of MMP-9 in prostate cancer cells and reduced the size of metastatic lung tumors induced by these cells in mice. CONCLUSIONS: SHARPIN enhances the metastasis of prostate cancer and impair patient survivals. Prostate 77:718-728, 2017. © 2017 Wiley Periodicals, Inc.

Potassium Bisperoxo(1,10-phenanthroline)oxovanadate (bpV(phen)) Induces Apoptosis and Pyroptosis and Disrupts the P62-HDAC6 Protein Interaction to Suppress the Acetylated Microtubule-dependent Degradation of Autophagosomes.

Autophagy is a cellular process that controls and executes the turnover of dysfunctional organelles and misfolded or abnormally aggregated proteins. Phosphatase and tensin homologue deleted on chromosome 10 (PTEN) activates the initiation of autophagy. Autophagosomes migrate along acetylated microtubules to fuse with lysosomes to execute the degradation of the engulfed substrates that usually bind with sequestosome 1 (SQSTM1, p62). Microtubule-associated protein 1 light chain 3 (LC3) traces the autophagy process by converting from the LC3-I to the LC3-II isoform and serves as a major marker of autophagy flux. Potassium bisperoxo(1,10-phenanthroline)oxovanadate (bpV(phen)) is an insulin mimic and a PTEN inhibitor and has the potential to treat different diseases. Here we show that bpV(phen) enhances the ubiquitination of p62, reduces the stability of p62, disrupts the interaction between p62 and histone deacetylase 6 (HDAC6), activates the deacetylase activity of HDAC6 on α-tubulin, and impairs stable acetylated microtubules. Microtubular destabilization leads to the blockade of autophagosome-lysosome fusion and accumulation of autophagosomes. Autophagy defects lead to oxidative stress and lysosomal rupture, which trigger different types of cell death, including apoptosis and pyroptosis. The consistent results from multiple systems, including mouse and different types of mammalian cells, are different from the predicted function of bpV(phen) as a PTEN inhibitor to activate autophagy flux. In addition, levels of p62 are reduced but not elevated when autophagosomal degradation is blocked, revealing a novel function of p62 in autophagy regulation. Therefore, it is necessary to pay attention to the roles of bpV(phen) in autophagy, apoptosis, and pyroptosis when it is developed as a drug.

The viral restriction factor tetherin prevents leucine-rich pentatricopeptide repeat-containing protein (LRPPRC) from association with beclin 1 and B-cell CLL/lymphoma 2 (Bcl-2) and enhances autophagy and mitophagy.

Tetherin has been characterized as a key factor that restricts viral particles such as HIV and hepatitis C virus on plasma membranes, acts as a ligand of the immunoglobulin-like transcript 7 (ILT7) receptor in tumor cells, and suppresses antiviral innate immune responses mediated by human plasmacytoid dendritic cells. However, the normal cellular function of Tetherin without viral infection is unknown. Here we show that Tetherin not only serves as a substrate of autophagy but itself regulates the initiation of autophagy. Tetherin interacts with the autophagy/mitophagy suppressor LRPPRC and prevents LRPPRC from forming a ternary complex with Beclin 1 and Bcl-2 so that Beclin 1 is released to bind with PI3KCIII (class III PI3K) to activate the initiation of autophagy. Suppression of Tetherin leads to impairment of autophagy, whereas overexpression of Tetherin causes activation of autophagy. Under mitophagic stress, Tetherin is concentrated on mitochondria engulfed in autophagosomes. Tetherin plays a general role in the degradation of autophagosomes containing not only the symbiotic mitochondria but also, possibly, the infected virus. Therefore, Tetherin may enhance autophagy and mitophagy to suppress tumorigenesis, enhance innate immune responses, or prevent T cell apoptosis or pyroptosis.

Autophagy defects suggested by low levels of autophagy activator MAP1S and high levels of autophagy inhibitor LRPPRC predict poor prognosis of prostate cancer patients.

MAP1S (originally named C19ORF5) is a widely distributed homolog of neuronal-specific MAP1A and MAP1B, and bridges autophagic components with microtubules and mitochondria to affect autophagosomal biogenesis and degradation. Mitochondrion-associated protein LRPPRC functions as an inhibitor for autophagy initiation to protect mitochondria from autophagy degradation. MAP1S and LRPPRC interact with each other and may collaboratively regulate autophagy although the underlying mechanism is yet unknown. Previously, we have reported that LRPPRC levels serve as a prognosis marker of patients with prostate adenocarcinomas (PCA), and that patients with high LRPPRC levels survive a shorter period after surgery than those with low levels of LRPPRC. MAP1S levels are elevated in diethylnitrosamine-induced hepatocelular carcinomas in wildtype mice and the exposed MAP1S-deficient mice develop more malignant hepatocellular carcinomas. We performed immunochemical analysis to evaluate the co-relationship among the levels of MAP1S, LRPPRC, P62, and γ-H2AX. Samples were collected from wildtype and prostate-specific PTEN-deficient mice, 111 patients with PCA who had been followed up for 10 years and 38 patients with benign prostate hyperplasia enrolled in hospitals in Guangzhou, China. The levels of MAP1S were generally elevated so the MAP1S-mediated autophagy was activated in PCA developed in either PTEN-deficient mice or patients than their respective benign tumors. The MAP1S levels among patients with PCA vary dramatically, and patients with low MAP1S levels survive a shorter period than those with high MAP1S levels. Levels of MAP1S in collaboration with levels of LRPPRC can serve as markers for prognosis of prostate cancer patients.

Elevated levels of mitochondrion-associated autophagy inhibitor LRPPRC are associated with poor prognosis in patients with prostate cancer.

BACKGROUND: Autophagy has recently been found to play important roles in tumorigenesis and leucine-rich pentatricopeptide repeat motif-containing protein (LRPPRC) has been identified as an inhibitor that suppresses autophagy and mitophagy and maintains mitochondrial activity. The authors hypothesized that LRPPRC levels can be used as a biomarker for the diagnosis and prognosis of prostate cancer. METHODS: Immunochemistry analysis was performed to evaluate the levels of LRPPRC in 112 samples collected from patients with prostate adenocarcinoma (PCa) and 38 samples from patients with benign prostatic hyperplasia (BPH) who were enrolled in hospitals in Guangzhou City, China and were followed for 10 years. RESULTS: Significantly higher levels of LRPPRC were found in PCa samples compared with BPH samples. Greater than 75% of patients with PCa demonstrated high levels of LRPPRC whereas only 10% of patients with BPH were found to have similar levels of LRPPRC. The levels of LRPPRC were found to be positively correlated with tumor grade, metastasis, and serum prostate-specific antigen level, but were negatively correlated with hormone therapy sensitivity after 2 years of surgery and overall survival. The association between high levels of LRPPRC and late-stage PCa or hormone therapy insensitivity was confirmed in tissue samples collected from prostate-specific phosphatase and tensin homolog (PTEN)(-/-) mice or hormone-dependent and hormone-independent PCa cell lines. CONCLUSIONS: LRPPRC levels may be used as an independent biomarker for patients with PCa at a late stage with poor prognosis.

FRS2α-mediated FGF signals suppress premature differentiation of cardiac stem cells through regulating autophagy activity.

RATIONALE: Although the fibroblast growth factor (FGF) signaling axis plays important roles in heart development, the molecular mechanism by which the FGF regulates cardiogenesis is not fully understood. OBJECTIVE: To investigate the mechanism by which FGF signaling regulates cardiac progenitor cell differentiation. METHODS AND RESULTS: Using mice with tissue-specific ablation of FGF receptors and FGF receptor substrate 2α (Frs2α) in heart progenitor cells, we demonstrate that disruption of FGF signaling leads to premature differentiation of cardiac progenitor cells in mice. Using embryoid body cultures of mouse embryonic stem cells, we reveal that FGF signaling promotes mesoderm differentiation in embryonic stem cells but inhibits cardiomyocyte differentiation of the mesoderm cells at later stages. Furthermore, we also report that inhibiting FRS2α-mediated signals increases autophagy and that activating autophagy promotes myocardial differentiation and vice versa. CONCLUSIONS: The results indicate that the FGF/FRS2α-mediated signals prevent premature differentiation of heart progenitor cells through suppressing autophagy. The findings provide the first evidence that autophagy plays a role in heart progenitor differentiation.