ABSTRACT
Our goal was to establish two new predictive models of prostate cancer to determine whether to require a prostate biopsy when the prostate-specific antigen level is in the diagnostic gray zone. A retrospective analysis of 197 patients undergoing prostate biopsy with prostate-specific antigens between 4 and 10 ng ml-1 was conducted. Of these, 47 patients were confirmed to have cancer, while the remaining 150 patients were diagnosed with benign prostate disease after examining biopsy pathology. Two multivariate logistic regression models were established including age, prostate volumes, free/total prostate-specific antigen ratio, and prostate-specific antigen density using SPSS 19.0 to obtain the predicted probability and Logit P, and then, two receiver operating characteristic (ROC) curves were drawn to obtain the best cutoff value for prostate biopsy: one for the group of all the prostate cancers and one for the group of clinically significant prostate cancers. The best cutoff value for prostate biopsy was 0.25 from the multivariate logistic regression ROC curve model of all the prostate cancers, which gave a sensitivity of 75.4% and a specificity of 75.8%. The best cutoff value for prostate biopsy was 0.20 from the multivariate logistic regression model of clinically significant prostate cancers, which gave a sensitivity of 76.7% and a specificity of 80.1%. We identified the best cutoff values for prostate biopsy (0.25 for all prostate cancers and 0.20 for clinically significant prostate cancers) to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone.
Subject(s)
Models, Theoretical , Prostate-Specific Antigen/blood , Prostate/pathology , Prostatic Neoplasms/diagnosis , Aged , Biopsy , Humans , Male , Middle Aged , Predictive Value of Tests , Prostatic Neoplasms/blood , Prostatic Neoplasms/pathology , Sensitivity and SpecificityABSTRACT
Covering a network with minimum number of boxes is critical for using the renormalization technique to explore the network configuration space in a multiscale fashion. Here, we propose a versatile methodology composed of flexible representation and sampling of boxes, which have so far received scant attention, and the strategy of selecting boxes to cover the network. It is exemplified via random box sampling strategies and greedy methods to select boxes. We show that the key to substantially reduce the number of boxes is to give the selection priority to those boxes containing nodes that are not included in boxes bigger than themselves. Our algorithm achieves the improvement of diminishing the number of boxes amounting to nearly 25% compared with these well known algorithms.
ABSTRACT
Devising effective strategies for hindering the propagation of viruses and protecting the population against epidemics is critical for public security and health. Despite a number of studies based on the susceptible-infected-susceptible (SIS) model devoted to this topic, we still lack a general framework to compare different immunization strategies in completely random networks. Here, we address this problem by suggesting a novel method based on heterogeneous mean-field theory for the SIS model. Our method builds the relationship between the thresholds and different immunization strategies in completely random networks. Besides, we provide an analytical argument that the targeted large-degree strategy achieves the best performance in random networks with arbitrary degree distribution. Moreover, the experimental results demonstrate the effectiveness of the proposed method in both artificial and real-world networks.
ABSTRACT
A novel Gram-stain-negative bacterium, designated strain CY02T, was isolated from sediment of the Yellow Sea. Cells of CY02T were aerobic, coccus or short rods. Growth occurred at 5-42 °C (optimum, 35 °C), pH 6-10 (optimum, 8.0) and 0.5-9.0â% NaCl (optimum, 1.5-3.0â%). Phylogenetic analysis of 16S rRNA gene sequences revealed that CY02T was a member of the family Rhodobacteraceae and exhibited less than 95â% sequence similarities with the closely related type strains of the family Rhodobacteraceae. The genomic DNA G+C content of CY02T was 57.5 mol%. The major respiratory quinone was ubiquinone-10 (Q-10). The polar lipids consisted of phosphatidylcholine, phosphatidylglycerol, phosphatidylethanolamine, diphosphatidylglycerol, three unidentified lipids, one unidentified phospholipid and one unidentified aminolipid. The predominant cellular fatty acids were C18â:â1ω7c (57.6â%), 11-methyl C18â:â1ω7c (22.8â%) and C16â:â0 (10.6â%). Based on the results of morphological, physiological, biochemical, chemotaxonomic, genotypic and phylogenetic analyses, strain CY02T represents a novel species of a novel genus of the family Rhodobacteraceae, for which the name Neptunicoccus sediminis gen. nov., sp. nov. is proposed. The type strain of Neptunicoccus sediminis is CY02T (=CCTCC AB 2015430T=KCTC 42985T=NBRC 111872T=MCCC 1K03518).
Subject(s)
Geologic Sediments/microbiology , Phylogeny , Rhodobacteraceae/classification , Seawater/microbiology , Bacterial Typing Techniques , Base Composition , China , DNA, Bacterial/genetics , Fatty Acids/chemistry , Phospholipids/chemistry , RNA, Ribosomal, 16S/genetics , Rhodobacteraceae/genetics , Rhodobacteraceae/isolation & purification , Sequence Analysis, DNA , Ubiquinone/chemistryABSTRACT
The Belt and Road initiative (BRI) was announced in 2013 by the Chinese government. Its goal is to promote the cooperation between European and Asian countries, as well as enhancing the trust between members and unifying the market. Since its creation, more and more developing countries are joining the initiative. Based on the geographical location characteristics of the countries in this initiative, we propose an improvement of a popular recommendation algorithm that includes geographic location information. This recommendation algorithm is able to make suitable recommendations of products for countries in the BRI. Then, Fitness and Complexity metrics are used to evaluate the impact of the recommendation results and measure the country's competitiveness. The aim of this work is to provide countries' insights on the ideal development direction. By following the recommendations, the countries can quickly increase their international competitiveness.
ABSTRACT
When a developing country reaches a relatively average income level, it often stops growing further and its income does not improve. This is known as the middle-income trap. How to overcome this trap is a longstanding problem for developing countries, and has been studied in various research fields. In this work, we use the Fitness-Complexity method (FCM) to analyze the common characteristics of the countries that successfully get through the middle-income trap, and show the origin of the middle-income trap based on the international trade network. In the analysis, a novel method is proposed to characterize the interdependency between products. The results show that some middle-complexity products depend much on each other, which indicates that developing countries should focus on them simultaneously, implying high difficulty to escape the middle-income trap. To tackle the middle-income trap, developing countries should learn experiences from developed countries that share similar development history. we then design an effective method to evaluate the similarity between countries and recommend developed countries to a certain developing country. The effectiveness of our method is validated in the international trade network.
ABSTRACT
A Gram-stain-negative, yellow-pigmented, non-flagellated, gliding, rod-shaped, oxidase-negative and catalase-positive bacterium, designated SE14T, was isolated from soil on King George Island, South Shetland Islands, Antarctica. Strain SE14T grew at 4-25 °C (optimum, 20 °C), at pH 6.0-9.0 (optimum, pH 7.0-7.5) and with 0-3.0â% NaCl (optimum, 1.0-1.5â%), and could not produce flexirubin-type pigments. 16S rRNA gene sequence analysis showed the the isolate belonged to the genus Flavobacterium. Strain SE14T had the highest 16S rRNA gene sequence similarity to Flavobacterium antarcticum, F. tegetincola and F. degerlachei with 95.8, 95.5 and 95.2â%, respectively. The strain SE14T consisted of a clade with Flavobacteriumnoncentrifugens (16S rRNA gene sequence similarity 94.9â%) and F. qiangtangense (16S rRNA gene sequence similarity 94.2â%) and simultaneously formed a distinct phyletic lineage in the neighbour-joining phylogenetic tree. Polar lipids of the strain included phosphatidylethanolamine and four unidentified aminolipids. Strain SE14T contained anteiso-C15â:â0, iso-C15â:â0 and a mixture of iso-C15â:â0 2-OH and/or C16â:â1ω7c as the main fatty acids, and the only respiratory quinone was menaquinone-6. The genomic DNA G+C content was 42.3 mol%. The polyphasic taxonomic study revealed that strain SE14T belongs to a novel species within the genus Flavobacterium , and the name Flavobacterium phocarum sp. nov. is proposed. The type strain is SE14T (=CCTCC AB 2017225T=KCTC 52612T).
Subject(s)
Flavobacterium/classification , Phylogeny , Seals, Earless , Soil Microbiology , Animals , Antarctic Regions , Bacterial Typing Techniques , Base Composition , DNA, Bacterial/genetics , Fatty Acids/chemistry , Flavobacterium/genetics , Flavobacterium/isolation & purification , Phosphatidylethanolamines/chemistry , Pigmentation , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Vitamin K 2/analogs & derivatives , Vitamin K 2/chemistryABSTRACT
A Gram-stain-negative, aerobic, yellow-pigmented, non-flagellated, non-gliding, rod-like, oxidase- and catalase-positive bacterium, designated A2-1T, was isolated from soil on Ardley Island, South Shetland Islands, Antarctica. Strain A2-1T grew at 4-22 °C (optimum, 10 °C), at pH 6.0-8.0 (optimum, pH 6.5) and with 0-1.5â% NaCl (optimum, 0.5â%), but could not produce flexirubin-type pigments. 16S rRNA gene sequence analysis showed that the isolates belonged to the genus Flavobacterium. Strain A2-1T had the highest 16S rRNA gene sequence similarity to Flavobacterium cucumis, F. ahnfeltiae and F. cheniae with 95.7, 95.6 and 95.4â%, respectively. The strain A2-1T consisted of a clade with F. cucumis and F. cheniae and simultaneously formed a distinct phyletic lineage in the neighbour-joining phylogenetic tree. Polar lipids of the strain included phosphatidylethanolamine (PE), four unidentified aminolipids and one unidentified lipid. The strain A2-1T contained anteiso-C15â:â0 (20.2â%), iso-C15â:â0 (16.2â%) and C15â:â1 G (11.0â%) as the main fatty acids and the only respiratory quinone was menaquinone MK-6. The genomic DNA G+C content was 34.0 mol%. The polyphasic taxonomic study revealed that the strain A2-1T belongs to a novel species within the genus Flavobacterium and the name Flavobacterium ardleyense sp. nov. is proposed. The type strain is A2-1T (=CCTCC AB 2017157T=KCTC 52644T).
Subject(s)
Flavobacterium/classification , Phylogeny , Soil Microbiology , Antarctic Regions , Bacterial Typing Techniques , DNA, Bacterial/genetics , Fatty Acids/chemistry , Flavobacterium/genetics , Flavobacterium/isolation & purification , Phosphatidylethanolamines/chemistry , Pigmentation , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Vitamin K 2/analogs & derivatives , Vitamin K 2/chemistryABSTRACT
Link prediction aims to uncover the underlying relationship behind networks, which could be utilized to predict missing edges or identify the spurious edges. The key issue of link prediction is to estimate the likelihood of potential links in networks. Most classical static-structure based methods ignore the temporal aspects of networks, limited by the time-varying features, such approaches perform poorly in evolving networks. In this paper, we propose a hypothesis that the ability of each node to attract links depends not only on its structural importance, but also on its current popularity (activeness), since active nodes have much more probability to attract future links. Then a novel approach named popularity based structural perturbation method (PBSPM) and its fast algorithm are proposed to characterize the likelihood of an edge from both existing connectivity structure and current popularity of its two endpoints. Experiments on six evolving networks show that the proposed methods outperform state-of-the-art methods in accuracy and robustness. Besides, visual results and statistical analysis reveal that the proposed methods are inclined to predict future edges between active nodes, rather than edges between inactive nodes.
ABSTRACT
A Gram-stain-negative, aerobic, yellow-pigmented, non-flagellated, non-gliding, oxidase- and catalase-positive bacterium, designated CY01T, was isolated from seawater of the Yellow Sea. CY01T grew at 15-37 °C (optimum, 30 °C), pH 5-8 (optimum, 6.5-7.5) and with 0.5-12â% (w/v) NaCl (optimum, 0.5-3.5â%). It could not produce flexirubin-type pigment or reduce nitrate to nitrite. CY01T showed the highest 16S rRNA gene sequence similarity to the type strain of Euzebyella saccharophila (97.0â%) and clustered tightly with the species of the genus Euzebyella in the phylogenetic trees based on the 16S rRNA gene sequences. The major cellular fatty acids of CY01T were iso-C15â:â0, iso-C15â:â1G and iso-C17â:â0 3-OH and the major respiratory quinone was menaquinone MK-6. Polar lipids included phosphatidylethanolamine (PE), four unidentified lipids and one unidentified aminolipid. The genomic DNA G+C content was 38.2 mol%. Based on the results of the polyphasic characterization of CY01T, it represents a novel species of the genus Euzebyella, for which the name Euzebyella marina sp. nov. is proposed. The type strain is CY01T (=CCTCC AB 2014348T=KCTC 42440T).
Subject(s)
Flavobacteriaceae/classification , Phylogeny , Seawater/microbiology , Bacterial Typing Techniques , Base Composition , China , DNA, Bacterial/genetics , Fatty Acids/chemistry , Flavobacteriaceae/genetics , Flavobacteriaceae/isolation & purification , Phosphatidylethanolamines/chemistry , Pigmentation , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Vitamin K 2/analogs & derivatives , Vitamin K 2/chemistryABSTRACT
Controlling complex networks is of paramount importance in science and engineering. Despite recent efforts to improve controllability and synchronous strength, little attention has been paid to the speed of pinning synchronizability (rate of convergence in pinning control) and the corresponding pinning node selection. To address this issue, we propose a hypothesis to restrict the control cost, then build a linear matrix inequality related to the speed of pinning controllability. By solving the inequality, we obtain both the speed of pinning controllability and optimal control strength (feedback gains in pinning control) for all nodes. Interestingly, some low-degree nodes are able to achieve large feedback gains, which suggests that they have high influence on controlling system. In addition, when choosing nodes with high feedback gains as pinning nodes, the controlling speed of real systems is remarkably enhanced compared to that of traditional large-degree and large-betweenness selections. Thus, the proposed approach provides a novel way to investigate the speed of pinning controllability and can evoke other effective heuristic pinning node selections for large-scale systems.
ABSTRACT
Community structure can naturally emerge in paths to synchronization, and scratching it from the paths is a tough issue that accounts for the diverse dynamics of synchronization. In this paper, with assumption that the synchronization on complex networks is made up of local and collective processes, we proposed a scheme to lock the local synchronization (phase locking) at a stable state, meanwhile, suppress the collective synchronization based on Kuramoto model. Through this scheme, the network dynamics only contains the local synchronization, which suggests that the nodes in the same community synchronize together and these synchronization clusters well reveal the community structure of network. Furthermore, by analyzing the paths to synchronization, the relations or overlaps among different communities are also obtained. Thus, the community detection based on the scheme is performed on five real networks and the observed community structures are much more apparent than modularity-based fast algorithm. Our results not only provide a deep insight to understand the synchronization dynamics on complex network but also enlarge the research scope of community detection.
ABSTRACT
Collagen is an insoluble protein that widely distributes in the extracellular matrix of marine animals. Collagen degradation is an important step in the marine nitrogen cycle. However, the mechanism of marine collagen degradation is still largely unknown. Here, a novel subtilisin-like collagenolytic protease, myroicolsin, which is secreted by the deep sea bacterium Myroides profundi D25, was purified and characterized, and its collagenolytic mechanism was studied. Myroicolsin displays low identity (<30%) to previously characterized subtilisin-like proteases, and it contains a novel domain structure. Protein truncation indicated that the Pro secretion system C-terminal sorting domain in the precursor protein is involved in the cleavage of the N-propeptide, and the linker is required for protein folding during myroicolsin maturation. The C-terminal ß-jelly roll domain did not bind insoluble collagen fiber, suggesting that myroicolsin may degrade collagen without the assistance of a collagen-binding domain. Myroicolsin had broad specificity for various collagens, especially fish-insoluble collagen. The favored residue at the P1 site was basic arginine. Scanning electron microscopy and atomic force microscopy, together with biochemical analyses, confirmed that collagen fiber degradation by myroicolsin begins with the hydrolysis of proteoglycans and telopeptides in collagen fibers and fibrils. Myroicolsin showed strikingly different cleavage patterns between native and denatured collagens. A collagen degradation model of myroicolsin was proposed based on our results. Our study provides molecular insight into the collagen degradation mechanism and structural characterization of a subtilisin-like collagenolytic protease secreted by a deep sea bacterium, shedding light on the degradation mechanism of deep sea sedimentary organic nitrogen.
Subject(s)
Bacterial Proteins/chemistry , Collagen/chemistry , Flavobacteriaceae/enzymology , Seawater/microbiology , Subtilisin/chemistry , Water Microbiology , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Base Sequence , Collagen/metabolism , Flavobacteriaceae/genetics , Molecular Sequence Data , Subtilisin/genetics , Subtilisin/metabolismABSTRACT
A Gram-reaction-negative, aerobic, non-flagellated, rod-shaped bacterium, designated strain SM1211T, was isolated from Antarctic seawater. The isolate grew at 4-35 °C and with 0-10% (w/v) NaCl. It could produce bacteriochlorophyll a, but did not reduce nitrate to nitrite or hydrolyse DNA. Phylogenetic analysis of 16S rRNA gene sequences revealed that strain SM1211T constituted a distinct phylogenetic line within the family Rhodobacteraceae and was closely related to species in the genera Litorimicrobium, Leisingera, Seohaeicola and Phaeobacter with 95.1-96.0% similarities. The predominant cellular fatty acid was C18:1ω7c. The major polar lipids were phosphatidylethanolamine, phosphatidylglycerol, phosphatidylcholine, an unidentified aminolipid and two unidentified phospholipids. The genomic DNA G+C content of strain SM1211T was 60.7 mol%. Based on the phylogenetic, chemotaxonomic and phenotypic data obtained in this study, strain SM1211T is considered to represent a novel species in a new genus within the family Rhodobacteraceae, for which the name Puniceibacterium antarcticum gen. nov., sp. nov. is proposed. The type strain of Puniceibacterium antarcticum is SM1211T (=CCTCC AB 2013147T=KACC 16875T).
Subject(s)
Phylogeny , Rhodobacteraceae/classification , Seawater/microbiology , Antarctic Regions , Bacterial Typing Techniques , Bacteriochlorophyll A/chemistry , Base Composition , DNA, Bacterial/genetics , Fatty Acids/chemistry , Molecular Sequence Data , Phospholipids/chemistry , RNA, Ribosomal, 16S/genetics , Rhodobacteraceae/genetics , Rhodobacteraceae/isolation & purification , Sequence Analysis, DNAABSTRACT
Protease-producing bacteria play a vital role in degrading sedimentary organic nitrogen. However, the diversity of these bacteria and their extracellular proteases in most regions remain unknown. In this paper, the diversity of the cultivable protease-producing bacteria and of bacterial extracellular proteases in the sediments of Maxwell Bay, King George Island, Antarctica was investigated. The cultivable protease-producing bacteria reached 10(5) cells/g in all 8 sediment samples. The cultivated protease-producing bacteria were mainly affiliated with the phyla Actinobacteria, Firmicutes, Bacteroidetes, and Proteobacteria, and the predominant genera were Bacillus (22.9%), Flavobacterium (21.0%) and Lacinutrix (16.2%). Among these strains, Pseudoalteromonas and Flavobacteria showed relatively high protease production. Inhibitor analysis showed that nearly all the extracellular proteases from the bacteria were serine proteases or metalloproteases. These results begin to address the diversity of protease-producing bacteria and bacterial extracellular proteases in the sediments of the Antarctic Sea.
Subject(s)
Bacteria/classification , Bacteria/cytology , Extracellular Space/enzymology , Geologic Sediments/microbiology , Islands , Peptide Hydrolases/biosynthesis , Antarctic Regions , Bacteria/growth & development , Bacteria/metabolism , BiodiversityABSTRACT
A number of proteases in the subtilisin family derived from environmental or pathogenic microorganisms have been reported to be collagenolytic serine proteases. However, their collagen degradation mechanisms remain unclear. Here, the degradation mechanism of type I collagen fibres by the S8 collagenolytic protease MCP-01, from Pseudoalteromonas sp. SM9913, was studied. Atomic force microscopy observation and biochemical analysis confirmed that MCP-01 progressively released single fibrils from collagen fibres and released collagen monomers from fibrils mainly by hydrolysing proteoglycans and telopeptides in the collagen fibres. Structural and mutational analyses indicated that an enlarged substrate-binding pocket, mainly composed of loops 7, 9 and 11, is necessary for collagen recognition and that the acidic and aromatic residues on these loops form a negatively charged, hydrophobic environment for collagen binding. MCP-01 displayed a non-strict preference for peptide bonds with Pro or basic residues at the P1 site and/or Gly at the P1' site in collagen. His211 is a key residue for the P1-basic-residue preference of MCP-01. Our study gives structural and mechanistic insights into collagen degradation of the S8 collagenolytic protease, which is helpful in developing therapeutics for diseases with S8 collagenolytic proteases as pathogenic factors and in studying environmental organic nitrogen degradation mechanisms.
Subject(s)
Amino Acids/metabolism , Collagen Type I/metabolism , Endopeptidases/chemistry , Endopeptidases/metabolism , Proteoglycans/metabolism , Pseudoalteromonas/enzymology , Amino Acid Sequence , Catalytic Domain , Crystallography, X-Ray , Microscopy, Atomic Force , Models, Molecular , Mutagenesis, Site-Directed , Protein Conformation , Protein Structure, Secondary , Protein Structure, Tertiary , Pseudoalteromonas/chemistry , Pseudoalteromonas/classification , Substrate Specificity , Subtilisin/chemistry , Subtilisin/metabolismSubject(s)
Heart Diseases/pathology , Heart Ventricles/pathology , Cardiac Surgical Procedures , Heart Diseases/surgery , Heart Ventricles/injuries , Heart Ventricles/surgery , Humans , Male , Middle Aged , Rupture, Spontaneous , Tomography, X-Ray Computed , Ventricular Dysfunction/pathology , Ventricular Dysfunction/surgeryABSTRACT
Idiopathic cardiac rupture in the absence of coronary artery disease is rare. We describe a case of idiopathic left ventricular free wall rupture with successful surgical repair.
Subject(s)
Heart Rupture/surgery , Heart Ventricles/surgery , Coronary Angiography , Echocardiography , Electrocardiography , Extravasation of Diagnostic and Therapeutic Materials/diagnosis , Extravasation of Diagnostic and Therapeutic Materials/surgery , Heart Rupture/diagnosis , Humans , Image Interpretation, Computer-Assisted , Imaging, Three-Dimensional , Male , Middle Aged , Rupture, Spontaneous , Signal Processing, Computer-Assisted , Suture Techniques , Thrombosis/diagnosis , Thrombosis/surgery , Tomography, X-Ray Computed , Weight LiftingABSTRACT
Elastin is a common insoluble protein that is abundant in marine vertebrates, and for this reason its degradation is important for the recycling of marine nitrogen. It is still unclear how marine elastin is degraded because of the limited study of marine elastases. Here, a novel protease belonging to the M23A subfamily, secreted by Pseudoalteromonas sp. CF6-2 from deep-sea sediment, was purified and characterized, and its elastolytic mechanism was studied. This protease, named pseudoalterin, has low identities (<40%) to the known M23 proteases. Pseudoalterin has a narrow specificity but high activity toward elastin. Analysis of the cleavage sites of pseudoalterin on elastin showed that pseudoalterin cleaves the glycyl bonds in hydrophobic regions and the peptide bonds Ala-Ala, Ala-Lys, and Lys-Ala involved in cross-linking. Two peptic derivatives of desmosine, desmosine-Ala-Ala and desmosine-Ala-Ala-Ala, were detected in the elastin hydrolysate, indicating that pseudoalterin can dissociate cross-linked elastin. These results reveal a new elastolytic mechanism of the M23 protease pseudoalterin, which is different from the reported mechanism where the M23 proteases only cleave glycyl bonds in elastin. Genome analysis suggests that M23 proteases may be popular in deep-sea sediments, implying their important role in elastin degradation. An elastin degradation model of pseudoalterin was proposed, based on these results and scanning electron microscopic analysis of the degradation by pseudoalterin of bovine elastin and cross-linked recombinant tropoelastin. Our results shed light on the mechanism of elastin degradation in deep-sea sediment.
Subject(s)
Metalloproteases/chemistry , Metalloproteases/genetics , Pseudoalteromonas/enzymology , Pseudoalteromonas/genetics , Seawater/microbiology , Water Microbiology , Amino Acid Sequence , Animals , Cattle , Elastin/chemistry , Metalloproteases/metabolism , Molecular Sequence Data , Oceans and SeasABSTRACT
The enzymes currently used to increase meat tenderness are all mesophilic or thermophilic proteases. This study provides insight into the tenderization effect and the mechanism of a cold-adapted collagenolytic enzyme MCP-01 on beef meat at low temperatures. MCP-01 (10 U of caseinolytic activity) reduced the meat shear force by 23% and increased the relative myofibrillar fragmentation index of the meat by 91.7% at 4 °C, and it also kept the fresh colour and moisture of the meat. Compared to the commercially used tenderizers papain and bromelain, MCP-01 showed a unique tenderization mechanism. MCP-01 had a strong selectivity for degrading collagen at 4 °C, showed a distinct digestion pattern on the myofibrillar proteins, and had a different disruption pattern on the muscle fibres under scanning electron micrograph. These results suggest that the cold-adapted collagenolytic protease MCP-01 may be promising for use as a meat tenderizer at low and moderate temperatures.