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Reversal of the diabetic bone signature with anabolic therapies in mice

Bone Research 2023年第2期11卷 328-339页

作者： Silvia Marino Nisreen Akel Shenyang Li Meloney Cregor Meghan Jones Betiana Perez Gaston Troncoso Jomeeka Meeks Scott Stewart Amy YSato Intawat Nookaew Teresita Bellido Department of Physiology and Cell Biology University of Arkansas for Medical SciencesLittle RockARUSA Central Arkansas Veterans Healthcare System John L.Mc Clellan Little RockLittle RockARUSA Department of Biostatistics University of Arkansas for Medical SciencesLittle RockARUSA Department of Biomedical Informatics University of Arkansas for Medical SciencesLittle RockARUSA Winthrop P.Rockefeller Cancer Institute University of Arkansas for Medical SciencesLittleRockARUSA

The mechanisms underlying the bone disease induced by diabetes are complex and not fully understood;and antiresorptive agents,the current standard of care,do not restore the weakened bone architecture.Herein,we reveal the diabetic bone signature in mice at the tissue,cell,and transcriptome levels and demonstrate that three FDA-approved bone-anabolic agents correct it.Diabetes decreased bone mineral density(BMD)and bone formation,damaged microarchitecture,increased porosity of cortical bone,and compromised bone strength.Teriparatide(PTH),abaloparatide(ABL),and romosozumab/anti-sclerostin antibody(Scl-Ab)all restored BMD and corrected the deteriorated bone architecture.Mechanistically,PTH and more potently ABL induced similar responses at the tissue and gene signature levels,increasing both formation and resorption with positive balance towards bone gain.In contrast,Scl-Ab increased formation but decreased resorption.All agents restored bone architecture,corrected cortical porosity,and improved mechanical properties of diabetic bone;and ABL and Scl-Ab increased toughness,a fracture resistance index.Remarkably,all agents increased bone strength over the healthy controls even in the presence of severe hyperglycemia.These findings demonstrate the therapeutic value of bone anabolic agents to treat diabetes-induced bone disease and suggest the need for revisiting the approaches for the treatment of bone fragility in diabetes.

关键词： signature porosity corrected

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Cost-efficient quantum access network boosts practical deployment of quantum key distribution network

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Science China(Physics,Mechanics & Astronomy) 2024年第4期67卷 169-169页

作者： Hua-Lei Yin Zeng-Bing Chen Department of Physics and Beijing Key Laboratory of Opto-electronic Functional Materials and Micro-nano Devices Key Laboratory of Quantum State Construction and Manipulation(Ministry of Education)Renmin University of ChinaBeijing 100872China National Laboratory of Solid State Microstructures and School of Physics Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China

The security of information is not assured over extended periods,especially with the rapid advancement of quantum computers.To address this challenge,quantum cryptography,rooted in quantum physics,offers comprehensive toolkits for key distribution[1],secret sharing[2],digital signatures[3]and other cryptographic tasks[4]with information-theoretical security.The feasibility of quantum cryptography,particularly quantum key distribution(QKD)。

关键词： quantum distribution signature

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Deciphering the transcriptomic signature of synaptic activity

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Neural Regeneration Research 2022年第1期17卷 82-84页

作者： Guido Hermey Institute for Molecular and Cellular Cognition Center for Molecular Neurobiology HamburgUniversity Medical Center Hamburg-EppendorfHamburgGermany

Neurons undergo activity-dependent changes in their molecular composition and structure in order to regulate cellular processes such as dendritic growth,synapse elimination,spine maturation and synaptic strength.Such synaptic plasticity plays an important role during a critical period in brain development and contributes to sensory adaptation and to learning and memory in the mature nervous system.Its dysregulation underlies a number of pathological processes in psychiatric and neurodegenerative disorders,such as addiction.

关键词： strength. signature elimination

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Identification of a four-miRNA signature predicts the prognosis of papillary thyroid cancer

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World Journal of Clinical Cases 2023年第1期11卷 92-103页

作者： Fan Yang Yi-Li Zhou Department of Thyroid Surgery The First Affiliated Hospital of Wenzhou Medical UniversityWenzhou 325000Zhejiang ProvinceChina

BACKGROUND In recently diagnosed patients with thyroid cancer,papillary thyroid cancer(PTC),as the most common histological subtype,accounts for 90%of all cases.Although PTC is known as a relatively adolescent malignant disease,there still is a high possibility of recurrence in PTC patients with a poor prognosis.Therefore,new biomarkers are necessary to guide more effective stratification of PTC patients and personalize therapy to avoid overtreatment or inadequate treatment.Accumulating evidence demonstrates that microRNAs(miRNAs)have broad application prospects as diagnostic biomarkers in cancer.AIM To explore novel markers consisting of miRNA-associated signatures for PTC prognostication.METHODS We obtained and analyzed the data of 497 PTC patients from The Cancer Genome Atlas.The patients were randomly assigned to either a training or testing cohort.RESULTS We discovered 237 differentially expressed miRNAs in tumorous thyroid tissues compared with normal tissues,which contained 172 up-regulated and 65 downregulated miRNAs.The evaluation of differently expressed miRNAs was conducted using our risk score model.We then successfully generated a fourmiRNA potential prognostic signature[risk score=(-0.001×hsa-miR-181a-2-3p)+(0.003×hsa-miR-138-5p)+(-0.018×hsa-miR-424-3p)+(0.284×hsa-miR-612)],which reliably distinguished patients from high and low risk with a significant difference in the overall survival(Psignature that has a robust predictive effect on the prognosis of PTC.Accordingly,we would recommend more radical therapy and closer follow-ups for highrisk groups.

关键词： Papillary thyroid cancer microRNA Prognosis signature

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Visually meaningful image encryption algorithm based on digital signature

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Digital Communications and Networks 2023年第1期9卷 159-165页

作者： Xiaoling Huang Youxia Dong Guodong Ye Wun-She Yap Bok-Min Goi Faculty of Mathematics and Computer Science Guangdong Ocean UniversityZhanjiang524088China Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul RahmanJalan Sungai LongCheras43000SelangorMalaysia

Traditional image encryption algorithms transform a plain image into a noise-like image.To lower the chances for the encrypted image being detected by the attacker during the image transmission,a visually meaningful image encryption scheme is suggested to hide the encrypted image using another carrier image.This paper proposes a visually meaningful encrypted image algorithm that hides a secret image and a digital signature which provides authenticity and confidentiality.The recovered digital signature is used for the purpose of identity authentication while the secret image is encrypted to protect its confidentiality.Least Significant Bit(LSB)method to embed signature on the encrypted image and Lifting Wavelet Transform(LWT)to generate a visually meaningful encrypted image are designed.The proposed algorithm has a keyspace of 139.5-bit,a Normalized Correlation(NC)value of 0.9998 which is closer to 1 and a Peak Signal to Noise Ratio(PSNR)with a value greater than 50 dB.Different analyses are also performed on the proposed algorithm using different images.The experimental results show that the proposed scheme is with high key sensitivity and strong robustness against pepper and salt attack and cropping attack.Moreover,the histogram analysis shows that the original carrier image and the final visual image are very similar.

关键词： Visually meaningful image encryption Lifting wavelet transform Lorenz system signature Security

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Combating inconsistent evaluation of intra-tumor immune status by a novel transcriptomic signature in hepatocellular carcinoma

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Signal Transduction and Targeted Therapy 2023年第3期8卷 895-897页

作者： Linmeng Zhang Ning Tang Chen Yang Haigang Geng Hualian Hang Wenxin Qin Cun Wang State Key Laboratory of Oncogenes and Related Genes Shanghai Cancer InstituteRenji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Department of Gastrointestinal Surgery Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Liver Surgery Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina

Dear Editor,Harnessing the power of the immune system via immune checkpoint inhibition has revolutionized the treatment paradigm of many malignancies,including hepatocellular carcinoma(HCC).1 Despite encouraging efficacy seen with the immune checkpoint blockade(ICB)agents in a subset of patients with HCC,however,there remain a large number of HCC patients experience ICB resistance and failed to derive durable benefit from these agents.

关键词： hepatocellular signature inconsistent

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Efficient Group Blind signature for Medical Data Anonymous Authentication in Blockchain-Enabled IoMT

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Computers, Materials & Continua 2023年第7期76卷 591-606页

作者： Chaoyang Li Bohao Jiang Yanbu Guo Xiangjun Xin College of Software Engineering Zhengzhou University of Light IndustryZhengzhou450002China

Blockchain technology promotes the development of the Internet of medical things(IoMT)from the centralized form to distributed trust mode as blockchain-based Internet of medical things(BIoMT).Although blockchain improves the cross-institution data sharing ability,there still exist the problems of authentication difficulty and privacy leakage.This paper first describes the architecture of the BIoMT system and designs an anonymous authentication model for medical data sharing.This BIoMT system is divided into four layers:perceptual,network,platform,and application.The model integrates an anonymous authentication scheme to guarantee secure data sharing in the network ledger.Utilizing the untampered blockchain ledger can protect the privacy of medical data and system users.Then,an anonymous authentication scheme called the group blind signature(GBS)scheme is designed.This scheme can provide anonymity for the signer as that one member can represent the group to sign without exposing his identity.The blind property also can protect the message from being signed as it is anonymous to the signer.More-over,this GBS scheme is created with the lattice assumption,which makes it more secure against quantum attacks.In addition,the security proof shows that this GBS scheme can achieve the security properties of dynamical-almost-full anonymity,blindness,traceability,and non-frameability.The comparison analysis and performance evaluation of key size show that this GBS scheme is more efficient than similar schemes in other literature.

关键词： Blockchain Internet of medical things signature privacy-preserving

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A serum microRNA signature for enhanced selection of people for lung cancer screening

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Cancer Communications 2022年第11期42卷 1222-1225页

作者： Haixin Yu Janhavi R.Raut Megha Bhardwaj Yan Zhang Evelin Sandner Ben Schöttker Bernd Holleczek Petra Schrotz-King Hermann Brenner Division of Clinical Epidemiology and Aging Research German Cancer Research Center(DKFZ)Heidelberg 69120Baden-WürttembergGermany Medical Faculty Heidelberg University of HeidelbergHeidelberg 69120Baden-WürttembergGermany Division of Preventive Oncology German Cancer Research Center(DKFZ)and National Center for Tumor Diseases(NCT)Heidelberg 69120Baden-WürttembergGermany German Cancer Consortium(DKTK) German Cancer Research Center(DKFZ)Heidelberg 69120Baden-WürttembergGermany Pneumology and Thoracic Oncology Robert-Bosch KrankenhausKlinik SchillerhoeheGerlingen 70839Baden-WürttembergGermany Network Aging Research University of HeidelbergBergheimer Straße 20Heidelberg 69115Baden-WürttembergGermany Saarland Cancer Registry Präsident-Baltz-Straße 5Saarbrucken 66119SaarlandGermany

Dear editor,Lung cancer(LC)is the leading cause of cancer-related mortality globally[1].Earlier detection by screening can substantially reduce LC mortality[2,3],but should be focused on those at highest risk[4].Risk stratification for LC screening,which is mostly based on smoking history[5],is far from perfect[6].Therefore,additional criteria to better define those at highest risk of LC are needed to enhance the efficiency and cost-effectiveness of LC screening.Besides risk prediction models incorporating classical LC risk factors[7].

关键词： mortality cancer signature

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New Approach to Rock Classification Based on Sparse Representations

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Open Journal of Applied Sciences 2024年第1期14卷 145-158页

作者： Wognin Joseph Vangah Bi G. Théodore Toa Alico Nango Jerôme Ouattara Sie Alain Clément Unité de Recherche et d’expertise Numérique (UREN) Université Virtuelle de C&#244te d’Ivoire (UVCI) Abidjan C&#244te d’Ivoire UFR Sciences et technologique Département de Physique Université polytechnique de Man (UPM) Man C&#244te d’Ivoire Classe Préparatoire des Grandes Ecoles (CPGE) Université de San Pédro (USP) San Pédro C&#244te d’Ivoire Institut National Polytechnique Houphouë t (INPHB) Yamoussoukro C&#244te d’Ivoire Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) Institut Universitaire de Technologie (IUT) Université d’Angers Angers France

In geology, classification and lithological recognition of rocks plays an important role in the area of oil and gas exploration, mineral exploration and geological analysis. In other fields of activity such as construction and decoration, this classification makes sense and fully plays its role. However, this classification is slow, approximate and subjective. Automatic classification curbs this subjectivity and fills this gap by offering methods that reflect human perception. We propose a new approach to rock classification based on direct-view images of rocks. The aim is to take advantage of feature extraction methods to estimate a rock dictionary. In this work, we have developed a classification method obtained by concatenating four (4) K-SVD variants into a single signature. This method is based on the K-SVD algorithm combined with four (4) feature extraction techniques: DCT, Gabor filters, D-ALBPCSF and G-ALBPCSF, resulting in the four (4) variants named K-Gabor, K-DCT, KD-ALBPCSF and KD-ALBPCSF respectively. In this work, we developed a classification method obtained by concatenating four (4) variants of K-SVD. The performance of our method was evaluated on the basis of performance indicators such as accuracy with other 96% success rate.

关键词： Rock Recognition Dictionary signature Color Texture K-SVD Variants KD-ALBPCSF Et KG-ALBPCSF

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DNA methylation signature predicts cancer response to demethylation agents from profiling diverse cancer cell lines

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Cancer Communications 2022年第8期42卷 789-792页

作者： Zhifu Sun Xuewei Wang Pete Vedell Jean-Pierre Kocher Division of Computational Biology Department of Quantitative Health SciencesMayo ClinicRochesterMN 55905USA

Dear Editor,Abnormal DNA methylation,a process whereby tumor suppressors tend to be hypermethylated and silenced,is a hallmark of cancer cells[1].Removing the methylation by demethylation agents such as azacitidine and decitabine is one of the strategies to treat cancers and has been successfully used to treat certain hematological and solid tumors[2].However,there are no established DNA methylation markers or signatures that can accurately predict patients’response to treatment[2];thus,the identification of reliable predictive biomarkers for effective therapy remains a critical need in clinical practice.

关键词： cancer signature suppressor

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