CircRNAs: emerging factors for regulating glucose metabolism in colorectal cancer

Colorectal cancer is a malignant disease with a high incidence and low survival rate, and the effectiveness of traditional treatments, such as surgery and radiotherapy, is very limited. CircRNAs, a kind of stable endogenous circular RNA, generally function by sponging miRNAs and binding or translating proteins. CircRNAs have been identified to play an important role in regulating the proliferation and metabolism of CRC. In recent years, many reports have indicated that by regulating the expression of glycolysis-related proteins, such as GLUT1 and HK2, or directly translating proteins, circRNAs can promote the Warburg effect in cancer cells, thereby driving CRC metabolism. Moreover, the Warburg effect increases lactate production in cancer cells and promotes acidification of the TME, which further drives cancer progression. In this review, we summarized the remarkable role of circRNAs in regulating glucose metabolism in CRC in recent years, which might be useful for finding new targets for the clinical treatment of CRC (AU)

Use of Motion Capture Technology to Study Extrinsic Laryngeal Muscle Tension and Hyperfunction.

OBJECTIVES: Patients with primary muscle tension dysphonia (pMTD) commonly report paralaryngeal pain and discomfort, and extrinsic laryngeal muscle (ELM) tension and hyperfunction are commonly implicated. However, quantitative physiological metrics to study ELM movement patterns for the characterization of pMTD diagnosis and monitoring of treatment progress are lacking. The objectives of this study were to validate motion capture (MoCap) technology to study ELM kinematics, determine whether MoCap could distinguish ELM tension and hyperfunction between individuals with and without pMTD, and investigate relationships between common clinical voice metrics and ELM kinematics. METHODS: Thirty subjects (15 with pMTD and 15 controls) were recruited for the study. Sixteen markers were placed on different anatomical landmarks on the chin and anterior neck. Movements across these regions were tracked during four voice and speech tasks using two three-dimensional cameras. Movement displacement and variability were determined based on 16 key-points and 53 edges. RESULTS: Intraclass correlation coefficients demonstrated high intra- and inter-rater reliability (p's < 0.001). Other than greater movement displacements around the thyrohyoid space during longer phrasing (reading passage, 30-s diadochokinetics) and more movement variability in patients with pMTD, kinematic patterns between groups were similar across the 53 edges for the four voice and speech tasks. There were also no significant correlations between ELM kinematics and standard voice metrics. CONCLUSION: Results demonstrate the feasibility and reliability of MoCap for the study of ELM kinematics. LEVEL OF EVIDENCE: 3 Laryngoscope, 133:3472-3481, 2023.

CircRNAs: emerging factors for regulating glucose metabolism in colorectal cancer.

Colorectal cancer is a malignant disease with a high incidence and low survival rate, and the effectiveness of traditional treatments, such as surgery and radiotherapy, is very limited. CircRNAs, a kind of stable endogenous circular RNA, generally function by sponging miRNAs and binding or translating proteins. CircRNAs have been identified to play an important role in regulating the proliferation and metabolism of CRC. In recent years, many reports have indicated that by regulating the expression of glycolysis-related proteins, such as GLUT1 and HK2, or directly translating proteins, circRNAs can promote the Warburg effect in cancer cells, thereby driving CRC metabolism. Moreover, the Warburg effect increases lactate production in cancer cells and promotes acidification of the TME, which further drives cancer progression. In this review, we summarized the remarkable role of circRNAs in regulating glucose metabolism in CRC in recent years, which might be useful for finding new targets for the clinical treatment of CRC.

Comprehensive analysis of complete chloroplast genome sequence of Plantago asiatica L. (Plantaginaceae).

Plantago asiatica L. is a representative individual species of Plantaginaceae, whose high reputation is owed to its edible and medicinal values. However, the phylogeny and genes of the P. asiatica chloroplast have not yet been well described. Here we report the findings of a comprehensive analysis of the P. asiatica chloroplast genome. The P. asiatica chloroplast genome is 164,992 bp, circular, and has a GC content of 37.98%. The circular genome contains 141 genes, including 8 rRNAs, 38 tRNAs, and 95 protein-coding genes. Seventy-two simple sequence repeats are detected. Comparative chloroplast genome analysis of six related species suggests that a higher similarity exists in the coding region than the non-coding region, and differences in the degree of preservation is smaller between P. asiatica and Plantago depressa than among others. Our phylogenetic analysis illustrates P. asiatica has a relatively close relationship with P. depressa, which was also divided into different clades with Plantago ovata and Plantago lagopus in the genus Plantago. This analysis of the P. asiatica chloroplast genome contributes to an improved deeply understanding of the evolutionary relationships among Plantaginaceae.

3D Talking Face With Personalized Pose Dynamics.

Recently, we have witnessed a boom in applications for 3D talking face generation. However, most existing 3D face generation methods can only generate 3D faces with a static head pose, which is inconsistent with how humans perceive faces. Only a few articles focus on head pose generation, but even these ignore the attribute of personality. In this article, we propose a unified audio-driven approach to endow 3D talking faces with personalized pose dynamics. To achieve this goal, we establish an original person-specific dataset, providing corresponding head poses and face shapes for each video. Our framework is composed of two separate modules: PoseGAN and PGFace. Given an input audio, PoseGAN first produces a head pose sequence for the 3D head, and then, PGFace utilizes the audio and pose information to generate natural face models. With the combination of these two parts, a 3D talking head with dynamic head movement can be constructed. Experimental evidence indicates that our method can generate person-specific head pose sequences that are in sync with the input audio and that best match with the human experience of talking heads.

Neighbor Reweighted Local Centroid for Geometric Feature Identification.

Identifying geometric features from sampled surfaces is a significant and fundamental task. The existing curvature-based methods that can identify ridge and valley features are generally sensitive to noise. Without requiring high-order differential operators, most statistics-based methods sacrifice certain extents of the feature descriptive powers in exchange for robustness. However, neither of these types of methods can treat the surface boundary features simultaneously. In this paper, we propose a novel neighbor reweighted local centroid (NRLC) computational algorithm to identify geometric features for point cloud models. It constructs a feature descriptor for the considered point via decomposing each of its neighboring vectors into two orthogonal directions. A neighboring vector starts from the considered point and ends with the corresponding neighbor. The decomposed neighboring vectors are then accumulated with different weights to generate the NRLC. With the defined NRLC, we design a probability set for each candidate feature point so that the convex, concave and surface boundary points can be recognized concurrently. In addition, we introduce a pair of feature operators, including assimilation and dissimilation, to further strengthen the identified geometric features. Finally, we test NRLC on a large body of point cloud models derived from different data sources. Several groups of the comparison experiments are conducted, and the results verify the validity and efficiency of our NRLC method.

Selective vulnerability of brainstem and cervical spinal cord regions in people with non-progressive multiple sclerosis of Black or African American and European ancestry.

BACKGROUND: We evaluated imaging features suggestive of neurodegeneration within the brainstem and upper cervical spinal cord (UCSC) in non-progressive multiple sclerosis (MS). METHODS: Standardized 3-Tesla three-dimensional brain magnetic resonance imaging (MRI) studies were prospectively acquired. Rates of change in volume, surface texture, curvature were quantified at the pons and medulla-UCSC. Whole and regional brain volumes and T2-weighted lesion volumes were also quantified. Independent regression models were constructed to evaluate differences between those of Black or African ancestry (B/AA) and European ancestry (EA) with non-progressive MS. RESULTS: 209 people with MS (pwMS) having at least two MRI studies, 29% possessing 3-6 timepoints, resulted in 487 scans for analysis. Median follow-up time between MRI timepoints was 1.33 (25th-75th percentile: 0.51-1.98) years. Of 183 non-progressive pwMS, 88 and 95 self-reported being B/AA and EA, respectively. Non-progressive pwMS demonstrated greater rates of decline in pontine volume (p < 0.0001) in B/AA and in medulla-UCSC volume (p < 0.0001) for EA pwMS. Longitudinal surface texture and curvature changes suggesting reduced tissue integrity were observed at the ventral medulla-UCSC (p < 0.001), dorsal pons (p < 0.0001) and dorsal medulla (p < 0.0001) but not the ventral pons (p = 0.92) between groups. CONCLUSIONS: Selectively vulnerable regions within the brainstem-UCSC may allow for more personalized approaches to disease surveillance and management.

ICP-MS based metallomics and GC-MS based metabolomics reveals the physiological and metabolic responses of Dendrobium huoshanense plants exposed to Fe3O4 nanoparticles.

It is found that the growth of Dendrobium huoshanense was dependent on Fe3O4, while the bioavailability of plants to ordinary Fe3O4 was low on the earth. In order to improve the growth, quality and yield of D. huoshanense, we used Fe3O4 NPs (100 or 200 mg/L) that was easily absorbed by plants as nano-fertilizer to hydroponically treat seedlings of D. huoshanense for 3 weeks. Fe3O4 NPs induced not only earlier flowering and increased sugar content and photosynthesis, but also stressed to plants, increased MDA content and related antioxidant enzymes activities. Inductively Coupled Plasma Mass Spectrometry (ICP-MS) revealed that Fe3O4 NPs caused a significant accumulation of Fe and some other nutrient elements (Mn, Co, B, Mo) in stems of D. huoshanense. Metabolomics revealed that the metabolites were reprogrammed in D. huoshanense when under Fe3O4 NPs exposure. Fe3O4 NPs inhibited antioxidant defense-related pathways, demonstrating that Fe3O4 NPs have antioxidant capacity to protect D. huoshanense from damage. As the first study associating Fe3O4 NPs with the quality of D. huoshanense, it provided vital insights into the molecular mechanisms of how D. huoshanense responds to Fe3O4 NPs, ensuring the reasonable use of Fe3O4 NPs as nano-fertilizer.

Genome-wide identification of R2R3-MYB family genes and gene response to stress in ginger.

Ginger (Zingiber officinale Roscoe) is an important plant used worldwide for medicine and food. The R2R3-MYB transcription factor (TF) family has essential roles in plant growth, development, and stresses resistance, and the number of genes in the family varies greatly among different types of plants. However, genome-wide discovery of ZoMYBs and gene responses to stresses have not been reported in ginger. Therefore, genome-wide analysis of R2R3-MYB genes in ginger was conducted in this study. Protein phylogenetic relations and conserved motifs and chromosome localization and duplication, structure, and cis-regulatory elements were analyzed. In addition, the expression patterns of selected genes were analyzed under two different stresses. A total of 299 candidate ZoMYB genes were discovered in ginger. Based on groupings of R2R3-MYB genes in the model plant Arabidopsis thaliana (L.) Heynh., ZoMYBs were divided into eight groups. Genes were distributed across 22 chromosomes at uneven densities. In gene duplication analysis, 120 segmental duplications were identified in the ginger genome. Gene expression patterns of 10 ZoMYBs in leaves of ginger under abscisic acid (ABA) and low-temperature stress treatments were different. The results will help to determine the exact roles of ZoMYBs in anti-stress responses in ginger.

Dorsal medulla surface texture: Differentiating neuromyelitis optica spectrum disorder from multiple sclerosis.

BACKGROUND AND PURPOSE: The timely and accurate diagnosis of neuromyelitis optica spectrum disorder (NMOSD) is essential and exposure to multiple sclerosis (MS) disease-modifying therapies may result in permanent neurological disability. METHODS: Standardized 3-Tesla 3-dimensional brain MRI studies were retrospectively studied from people with NMOSD, MS, other CNS neurological diseases, and healthy control subjects. Comparisons of surface texture characteristics at the area postrema involving absolute introverted planar triangle counts, representing more complex and concave tissue topography, along with the spatial dissemination pattern of these triangles were performed cross-sectionally and longitudinally. An ideal introverted planar triangle threshold separating groups with NMOSD and MS was accomplished using the highest Youden's J statistic. For the classification of NMOSD, out-of-sample and in-sample measurements of the following were acquired: sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). RESULTS: The study cohort included 60 people with NMOSD, 100 people with MS, 12 with other neurological diseases, and five healthy controls. Significantly higher cross-sectional median introverted triangle counts were observed when the NMOSD (median [interquartile range]: 100 [23.5]) group was compared to MS (65 [20.25]; p < .0001) and other neurological diseases (66 [13.75]; p < .0001). Distinct spatial dissemination patterns of triangles extending craniocaudally at the region of interest within the dorsal medulla was also seen between groups with NMOSD and MS (p < .0001). For the identification of NMOSD, out-of-sample sensitivity (83%), specificity (100%), PPV (100%), and NPV (60%) were achieved. CONCLUSIONS: Cross-sectional and longitudinal dorsal medulla surface texture differences within selective regions of vulnerability differentiate NMOSD from MS.

CircRNAs: promising factors for regulating angiogenesis in colorectal cancer

Colorectal cancer (CRC) is one of the most common cancers in the world. The incidence rate of cancer is high. The overall response to traditional treatment methods such as surgery, radiotherapy, and chemotherapy is not very satisfactory. Therefore, finding new therapeutic targets is very important for improving CRC treatment. In recent reports, the role of circRNAs in regulating colorectal angiogenesis has been gradually revealed. CircRNAs can indirectly act on angiogenesis pathways and regulate the expression of growth factors such as vascular endothelial growth factor (VEGF). CircRNAs are endogenous noncoding RNAs formed by pre-mRNAs through exon circular splicing. The covalent closed-loop structure makes these RNAs highly conserved and stable. CircRNAs have been found in human plasma, serum, urine, and other body fluids. Their highly conserved characteristics play important roles in many biological activities. CircRNAs can participate in the progression of many diseases by sponging miRNAs, interacting with proteins, and regulating transcription. Angiogenesis can provide nutrients and oxygen for tumour proliferation and metastasis. Angiogenesis is an important sign of the formation of the tumour microenvironment. Here, we will summarize the role of the latest circRNAs in the mechanism of angiogenesis in CRC and provide potential therapeutic targets for clinical treatment. (AU)

Molecular Cloning and Functional Characterization of a ß-Glucosidase Gene to Produce Platycodin D in Platycodon grandiflorus.

Platycodin D (PD) is a deglycosylated triterpene saponin with much higher pharmacological activity than glycosylated platycoside E (PE). Extensive studies in vitro showed that the transformation of platycoside E to platycodin D can be achieved using ß-glucosidase extracted from several bacteria. However, whether similar enzymes in Platycodon grandiflorus could convert platycoside E to platycodin D, as well as the molecular mechanism underlying the deglycosylation process of platycodon E, remain unclear. Here, we identified a ß-glucosidase in P. grandiflorus from our previous RNA-seq analysis, with a full-length cDNA of 1,488 bp encoding 495 amino acids. Bioinformatics and phylogenetic analyses showed that ß-glucosidases in P. grandiflorus have high homology with other plant ß-glucosidases. Subcellular localization showed that there is no subcellular preference for its encoding gene. ß-glucosidase was successfully expressed as 6 × His-tagged fusion protein in Escherichia coli BL21 (DE3). Western blot analysis yielded a recombinant protein of approximately 68 kDa. In vitro enzymatic reactions determined that ß-glucosidase was functional and could convert PE to PD. RT-qPCR analysis showed that the expression level of ß-glucosidase was higher at night than during the day, with the highest expression level between 9:00 and 12:00 at night. Analysis of the promoter sequence showed many light-responsive cis-acting elements, suggesting that the light might regulate the gene. The results will contribute to the further study of the biosynthesis and metabolism regulation of triterpenoid saponins in P. grandiflorus.

Chaperoning of the histone octamer by the acidic domain of DNA repair factor APLF.

Nucleosome assembly requires the coordinated deposition of histone complexes H3-H4 and H2A-H2B to form a histone octamer on DNA. In the current paradigm, specific histone chaperones guide the deposition of first H3-H4 and then H2A-H2B. Here, we show that the acidic domain of DNA repair factor APLF (APLFAD) can assemble the histone octamer in a single step and deposit it on DNA to form nucleosomes. The crystal structure of the APLFAD-histone octamer complex shows that APLFAD tethers the histones in their nucleosomal conformation. Mutations of key aromatic anchor residues in APLFAD affect chaperone activity in vitro and in cells. Together, we propose that chaperoning of the histone octamer is a mechanism for histone chaperone function at sites where chromatin is temporarily disrupted.

The complete chloroplast genome sequence of Lespedeza buergeri Miq. (Fabaceae).

The complete chloroplast genome sequence of Lespedeza buergeri is presented in this report. It is 149,065 bp in length and divided into four distinct regions: a small single copy (SSC) region of 18,934 bp, a large single copy (LSC) region of 82,476 bp, and a pair of inverted repeat regions of 23,826 bp. The annotation of the L. buergeri complete chloroplast genome predicted a total of 123 genes (77 protein-coding genes, 38 transfer RNA genes, and 8 ribosomal RNA genes). Phylogenetic analysis with the reported chloroplast genomes revealed that L. buergeri is nested in the genus Lespedeza of Fabaceae family. Furthermore, L. buergeri exhibited a close relationship with Lespedeza bicolor and Lespedeza cuneata. This results in this study might contribute to further investigating the evolutionary relationship of family Fabaceae.

Comparative proteomics reveals biochemical changes in Salvia miltiorrhiza Bunge during sweating processing.

ETHNOPHARMACOLOGICAL RELEVANCE: Salvia miltiorrhiza Bunge is a bulk medicinal material used in traditional Chinese medicine, that can cure cardiovascular diseases, neurasthenia, and other conditions. Sweating is a frequently used method of processing S. miltiorrhiza for medical applications. We previously demonstrated changes to the metabolic profile of linoleic acid, glyoxylate, and dicarboxylate after Sweating. However, this alteration has not been explained at the molecular level. MATERIALS AND METHODS: Fresh roots of Salvia miltiorrhiza Bunge were treated by the Sweating processing, and then the tandem mass tag technique was used to compare the proteome difference between Sweating S. miltiorrhiza and non-Sweating S. miltiorrhiza. RESULTS: We identified a total of 850 differentially expressed proteins after Sweating treatment in S. miltiorrhiza, including 529 upregulated proteins and 321 downregulated proteins. GO enrichment analysis indicated that these differentially expressed proteins are involved in external encapsulating structure, cell wall, oxidoreductase activity, ligase activity, and others. Further analysis showed that CYP450, the pathogenesis-related protein Bet v 1 family, and the peroxidase domain were the major protein domains. KEGG enrichment identified 18 pathways, of which phenylpropanoid biosynthesis is the most important one related to the metabolite profile and is the principal chemical component of S. miltiorrhiza. CONCLUSION: This study addressed potential molecular mechanisms in S. miltiorrhiza after Sweating, and the findings provide reasons for the changes in biochemical properties and metabolites changes which might cause pharmacological variation at the proteome level.

Treatment of a Double Cancer Patient With Primary Inferior Vena Cava Sarcoma and Lung Adenocarcinoma: A Case Report and Literature Review.

Background: Leiomyosarcoma of the inferior vena cava (IVC) is a rare malignancy. Here, we present the case of a 38-year-old woman with a primary IVC leiomyosarcoma and lung adenocarcinoma. Case Report: The patient, a 38-year-old Chinese female, presented to the general surgical outpatients clinic with a 18-month history of intermittent right upper abdominal pain. Contrast-enhanced computed tomography (CT) showed a tumor of IVC (3.4*2.7 cm) extending to the renal veins. In addition, chest CT revealed a mass lesion in the upper left lung lobe. Then, the patient underwent resection of the IVC tumor and wedge resection of the upper lobe of the left lung. The patient then received gefitinib (250 mg/day) as a maintenance therapy until the tumor recurrence or metastasis in the follow-up period. Pulmonary metastasis of the sarcoma were first diagnosed 20 month after the resection of the IVC leiomyosarcoma. So the patient again received thoracoscopic wedge pneumonectomy, and it was confirmed to be metastasis of IVC leiomyosarcoma. The patient received oral anlotinib treatment (12 mg once daily) after the last operation. During on-going regular follow-up visits no evidence of recurrence or metastasis was observed from December 2020 to October 2021. Conclusions: The patient with a primary IVC leiomyosarcoma and lung adenocarcinoma is extremely rare. Surgery is still an effective treatment for patients with a primary IVC leiomyosarcoma and lung adenocarcinoma at present.

CircRNAs: promising factors for regulating angiogenesis in colorectal cancer.

Colorectal cancer (CRC) is one of the most common cancers in the world. The incidence rate of cancer is high. The overall response to traditional treatment methods such as surgery, radiotherapy, and chemotherapy is not very satisfactory. Therefore, finding new therapeutic targets is very important for improving CRC treatment. In recent reports, the role of circRNAs in regulating colorectal angiogenesis has been gradually revealed. CircRNAs can indirectly act on angiogenesis pathways and regulate the expression of growth factors such as vascular endothelial growth factor (VEGF). CircRNAs are endogenous noncoding RNAs formed by pre-mRNAs through exon circular splicing. The covalent closed-loop structure makes these RNAs highly conserved and stable. CircRNAs have been found in human plasma, serum, urine, and other body fluids. Their highly conserved characteristics play important roles in many biological activities. CircRNAs can participate in the progression of many diseases by sponging miRNAs, interacting with proteins, and regulating transcription. Angiogenesis can provide nutrients and oxygen for tumour proliferation and metastasis. Angiogenesis is an important sign of the formation of the tumour microenvironment. Here, we will summarize the role of the latest circRNAs in the mechanism of angiogenesis in CRC and provide potential therapeutic targets for clinical treatment.

Direction and magnitude of displacement differ between slowly expanding and non-expanding multiple sclerosis lesions as compared to small vessel disease.

BACKGROUND AND PURPOSE: Differentiating between multiple sclerosis (MS) and small vessel disease (SVD) lesions represents a key challenge in the day-to-day management of patients. We aimed to distinguish between MS and SVD by identifying the dynamics of lesion movement patterns between enlarging and contracting foci from two MRI time points. METHODS: Standardized 3-Tesla 3-dimensional brain magnetic resonance imaging (MRI) studies were performed at two time points on enrolled MS and SVD patients. Selected supratentorial lesions were segmented and longitudinal changes in the direction of lesion displacement and magnitude along with the evolution of contracting and expanding T1-weighted and T2-weighted MS lesions were quantified based on lesion centroid positioning. Bayesian linear mixed effects regression models were constructed to evaluate associations between changes in lesion transitions and disease state. RESULTS: A total of 420 lesions were analyzed from 35 MS (female (F):22 (62.9%); median age (range):38 years (y) (22-61), median disease duration:7.38y (0.38-20.99)) and 12 SVD patients (F:11 (100%); 54y (40-66)). MS T2-weighted lesions that increased in volume between MRI time points demonstrated movement toward the cortex (p = 0.01), whereas those that decreased in volume moved toward the center (p < 0.0001). Lesion volume changes related to SVD demonstrated no effect on movement direction over time. Both expanding (p = 0.03) and contracting (p = 0.01) MS lesions demonstrated greater distances between centroids when compared to SVD. CONCLUSION: Lesion dynamics may reveal distinct characteristics associated with the biology of disease while providing further insights into the behavior of inflammatory CNS disorders.

Comprehensive analysis of chloroplast genome of Albizia julibrissin Durazz. (Leguminosae sp.).

MAIN CONCLUSION: The Albizia julibrissin chloroplasts have a classical chloroplast genome structure, containing 93 coding genes and 34 non-coding genes. Our research provides basic data for plant phylogenetic evolutionary studies. There is limited genomic information available for the important Chinese herb Albizia julibrissin Durazz. In this study, we constructed the chloroplast (Cp) genome of A. julibrissin. The length of the assembled Cp genome was 175,922 bp consisting of four conserved regions: a 5145 bp small single-copy (SSC) region, a 91,323 bp large single-copy (LSC) region, and two identical length-inverted repeat (IR) regions (39,725 bp). This Cp genome included 34 non-coding RNAs and 93 unique genes, the former contains 30 transfer and 4 ribosomal RNA genes. Gene annotation indicated some of the coding genes (82) in the A. julibrissin Cp genome classified in the Leguminosae family, with some to other related families (11). The results show that low GC content (36.9%) and codon bias towards A- or T-terminal codons may affect the frequency of gene codon usage. The sequence analysis identified 30 forward, 18 palindrome, and 1 reverse repeat > 30 bp length, and 149 simple sequence repeats (SSR). Fifty-five RNA editing sites in the Cp of A. julibrissin were predicted, most of which are C-to-U conversions. Analysis of the reverse repeat expansion or contraction and divergence area between several species, including A. julibrissin, was performed. The phylogenetic tree revealed that A. julibrissin was most closely related to Albizia odoratissima and Albizia bracteata, followed by Samanea saman, forming an evolutionary branch with Mimosa pudica and Leucaena trichandra. The research results are helpful for breeding and genetic improvement of A. julibrissin, and also provide valuable information for understanding the evolution of this plant.

GPU-Based Supervoxel Generation With a Novel Anisotropic Metric.

Video over-segmentation into supervoxels is an important pre-processing technique for many computer vision tasks. Videos are an order of magnitude larger than images. Most existing methods for generating supervovels are either memory- or time-inefficient, which limits their application in subsequent video processing tasks. In this paper, we present an anisotropic supervoxel method, which is memory-efficient and can be executed on the graphics processing unit (GPU). Therefore, our algorithm achieves good balance among segmentation quality, memory usage and processing time. In order to provide accurate segmentation for moving objects in video, we use the optical flow information to design a brand new non-Euclidean metric to calculate the anisotropic distances between seeds and voxels. To efficiently compute the anisotropic metric, we adjust the classic jump flooding algorithm (which is designed for parallel execution on the GPU) to generate anisotropic Voronoi tessellation in the combined color and spatio-temporal space. We evaluate our method and the representative supervoxel algorithms for their capability on segmentation performance, computation speed and memory efficiency. We also apply supervoxel results to the application of foreground propagation in videos to test the performance on solving practical problems. Experiments show that our algorithm is much faster than the existing methods, and achieves good balance on segmentation quality and efficiency.