Review
Engineering, Multidisciplinary
Yuan Wang, Qixia Luo, Tingting Xiao, Yunying Zhu, Yonghong Xiao
Summary: Humanity is facing a growing threat from multi-drug resistant Gram-negative bacteria, particularly Escherichia coli, Klebsiella pneumoniae, and Acinetobacter baumannii. The last-line treatment, polymyxin, is facing challenges due to the occurrence of polymyxin-resistant bacteria. Understanding the impact of polymyxin resistance on the virulence and fitness of these bacteria is crucial for prevention and intervention.
Review
Infectious Diseases
Wenke Liu, Min Li, Shiwen Cao, Hafiz Muhammad Ishaq, Huajie Zhao, Fan Yang, Liang Liu
Summary: Bacteria communicate with their surroundings through various secretory systems, and the recently discovered Type VI Secretion System (T6SS) is of great importance for Klebsiella pneumoniae. T6SS equips K. pneumoniae with a powerful arsenal of protein-based weapons, enabling the delivery of toxins to neighboring cells, thus providing a significant competitive advantage.
INFECTION AND DRUG RESISTANCE
(2023)
Article
Infectious Diseases
Abhirami Krishnamoorthy Sundaresan, Keerthana Vincent, Ganesh Babu Malli Mohan, Jayapradha Ramakrishnan
Summary: The study conducted genomic surveillance of Klebsiella pneumoniae in India to understand the spread of antimicrobial resistant genes over a 10-year period and to differentiate between environmental and clinical strains. The results showed the presence of diverse serotypes and sequence types among Klebsiella pneumoniae isolates in India, with a high proportion carrying antimicrobial resistant and virulence genes. These findings are important for the prompt treatment and prevention of Klebsiella pneumoniae dissemination.
JOURNAL OF GLOBAL ANTIMICROBIAL RESISTANCE
(2022)
Article
Microbiology
Yasmine H. Tartor, Norhan K. Abd El-Aziz, Rasha M. A. Gharieb, Hend M. El Damaty, Shymaa Enany, Enas A. Soliman, Samah S. Abdellatif, Amira S. A. Attia, Mosa M. Bahnass, Yousry A. El-Shazly, Mohammed Elbediwi, Hazem Ramadan
Summary: This study investigated the prevalence and antimicrobial resistance of Gram-negative bacteria isolated from clinical and subclinical bovine mastitis, and raw unpasteurized milk. The findings revealed high levels of multidrug-resistant species such as Klebsiella pneumoniae, Aeromonas hydrophila, Enterobacter cloacae, Escherichia coli, and Proteus mirabilis. The emergence of K. pneumoniae co-harboring mcr-10 and fosA5 genes in bovine milk in the Middle East poses a public health threat.
FRONTIERS IN MICROBIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Federica Dell'Annunziata, Carmela Dell'Aversana, Nunzianna Doti, Giuliana Donadio, Fabrizio Dal Piaz, Viviana Izzo, Anna De Filippis, Marilena Galdiero, Lucia Altucci, Giovanni Boccia, Massimiliano Galdiero, Veronica Folliero, Gianluigi Franci
Summary: Gram-negative bacteria release Outer Membrane Vesicles (OMVs) as vectors for horizontal gene transfer, particularly transferring plasmids containing resistance genes from Klebsiella pneumoniae (K. pneumoniae). The transfer is influenced by the plasmid copy number and the identity of the plasmid. K. pneumoniae-OMVs can transfer plasmids between species regardless of their phylogenetic characteristics.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Microbiology
Yuvaneswary Veloo, Syahidiah S. A. Thahir, Sakshaleni Rajendiran, Lim K. Hock, Norazah Ahmad, Vickneshwaran Muthu, Rafiza Shaharudin
Summary: The indiscriminate use of antibiotics in poultry farming has led to the emergence of antibiotic-resistant bacteria in poultry products and the surrounding environment. This study found high rates of multidrug-resistant Gram-negative bacteria in the environment of poultry farms, with some strains exhibiting resistance to multiple antibiotics. The presence of these bacteria poses a significant threat to the effectiveness of available antibiotics in treating infectious diseases. Efforts to regulate antibiotic use and conduct research on One Health issues are necessary to combat and prevent the spread of antibiotic-resistant bacteria.
MICROBIOLOGY SPECTRUM
(2022)
Article
Genetics & Heredity
Samuel Lipworth, Karina-Doris Vihta, Kevin Chau, Leanne Barker, Sophie George, James Kavanagh, Timothy Davies, Alison Vaughan, Monique Andersson, Katie Jeffery, Sarah Oakley, Marcus Morgan, Susan Hopkins, Timothy E. A. Peto, Derrick W. Crook, Ann Sarah Walker, Nicole Stoesser
Summary: The study found that the increasing incidence of E. coli infections was not due to the success of specific sequence types, but rather a few dominant types consistently. On the other hand, Klebsiella infections were mainly caused by sporadic sequence types, except for a specific drug-resistant outbreak strain. Virulence elements in E. coli were highly structured by sequence types, while in Klebsiella, they were more diverse and spread equally across different settings. The study also highlighted the importance of understanding the associations between antimicrobial resistance genes and non-plasmid mobile genetic elements to comprehend the spread of antimicrobial resistance.
Article
Multidisciplinary Sciences
Cecilia Crippa, Frederique Pasquali, Carla Rodrigues, Alessandra De Cesare, Alex Lucchi, Lucia Gambi, Gerardo Manfreda, Sylvain Brisse, Federica Palma
Summary: This study reports and characterizes Klebsiella spp. isolates from two artisanal ready-to-eat food producing facilities and tracks similar genotypes in different ecological niches. Despite high genetic diversity, clonal strains of Klebsiella were found to persist in the same processing setting for over 14 months. Different genotypes from distinct sources in the same facility shared a plasmid, indicating the importance of surveillance in the food chain for understanding the circulation of potentially pathogenic strains.
SCIENTIFIC REPORTS
(2023)
Article
Microbiology
Veronica Franca Diniz Rocha, Matheus Sales Barbosa, Helena Ferreira Leal, Giulyana Evelyn Oliveira Silva, Nabila Monalisa Mendes Dantas Sales, Adriano de Souza Santos Monteiro, Jailton Azevedo, Allan Roberto Xavier Malheiros, Ledilce Almeida Ataide, Beatriz Meurer Moreira, Mitermayer Galvao Reis, Fabianna Marcia Maranhao Bahia, Joice Neves Reis
Summary: This study investigated the genetic relationship, antimicrobial susceptibility profile, and resistance mechanisms to ColR-CRKP isolates from patients infected/colonized in a tertiary hospital in Salvador, Bahia/Brazil. The study found a prolonged outbreak of ColR-CRKP in the region, suggesting possible cross-transmission.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Immunology
Dakang Hu, Yuming Li, Ping Ren, Dongxing Tian, Wenjie Chen, Pan Fu, Weiwen Wang, Xiaobin Li, Xiaofei Jiang
Summary: The positive rates of virulence genes in Klebsiella pneumoniae vary significantly, with iucA, p-rmpA2, and p-rmpA being the primary genes leading to Hv-bla (KPC)(+)-KP. The formation of Hv-bla (KPC)(+)-KP is mostly due to bla (KPC)(+)-KP acquiring another plasmid carrying virulence genes.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2021)
Article
Agriculture, Dairy & Animal Science
Tianle Xu, Xinyue Wu, Hainan Cao, Tianxu Pei, Yu Zhou, Yi Yang, Zhangping Yang
Summary: This study investigated the distribution of virulence gene expression and antimicrobial susceptibility in Klebsiella pneumoniae isolated from dairy cows with clinical mastitis in Jiangsu Province. The study revealed potential links between virulence gene expression and antimicrobial resistance. The results provide important insights into the spread of infection by K. pneumoniae and resistance in the case of bovine mastitis, as well as potential target genes involved in the links between virulence determinants and multidrug resistance.
Review
Microbiology
Jie Zhu, Tao Wang, Liang Chen, Hong Du
Summary: The review summarizes the virulence factors associated with hypervirulent Klebsiella pneumoniae to understand its molecular pathogenesis and provide new strategies for improving the prevention, diagnosis, and treatment of infections caused by hvKP.
FRONTIERS IN MICROBIOLOGY
(2021)
Article
Infectious Diseases
Yuming Li, Dakang Hu, Xiaobo Ma, Dan Li, Dongxing Tian, Ye Gong, Xiaofei Jiang
Summary: This study investigated the characteristics of Klebsiella pneumoniae meningitis and the impact of convergence of carbapenem resistance and hypervirulence on patient mortality. The results showed a high mortality rate associated with multidrug resistance and significantly different mortality rates between Hv-CRKP and non-Hv-CRKP strains.
JOURNAL OF GLOBAL ANTIMICROBIAL RESISTANCE
(2021)
Article
Infectious Diseases
Jose Raul Nieto-Saucedo, Luis Esau Lopez-Jacome, Rafael Franco-Cendejas, Claudia Adriana Colin-Castro, Melissa Hernandez-Duran, Luis Raul Rivera-Garay, Karina Senyase Zamarripa-Martinez, Juan Luis Mosqueda-Gomez
Summary: The prevalence of carbapenem-resistant Gram-negative bacilli (CR-GNB) and the frequency of carbapenemase-encoding genes were evaluated in a tertiary referral center in El Bajio, Mexico. Among 508 Gram-negative bacilli, 37 were carbapenem-resistant (7.3%), and only 15 (40.5%) of them carried carbapenemase-encoding genes.
Article
Biochemistry & Molecular Biology
Fuqiang Kang, Zili Chai, Beiping Li, Mingda Hu, Zilong Yang, Xia Wang, Wenting Liu, Hongguang Ren, Yuan Jin, Junjie Yue
Summary: This study identified 15,946 prophages from 1437 fully assembled K. pneumoniae genomes deposited in the NCBI database, with 9755 prophages on chromosomes and 6191 prophages on plasmids. The results showed that prophages in the K. pneumoniae genomes are diverse and widely distributed. The prophages encoded multiple putative virulence factors and antibiotic resistance genes.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Jianfeng Cui, Lixin Wang, Xiangmin He, Victor Hugo C. De Albuquerque, Salman A. AlQahtani, Mohammad Mehedi Hassan
Summary: Feature extraction plays a crucial role in arrhythmia classification. This paper presents a feature extraction method that combines traditional approaches and 1D-CNN to improve the accuracy of arrhythmia classification. Experimental results show that the proposed method achieves an average classification accuracy of 98.35%, surpassing the latest methods.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Plant Sciences
Maria Batool, Ali Mahmoud El-Badri, Muhammad Umair Hassan, Yang Haiyun, Wang Chunyun, Yan Zhenkun, Kuai Jie, Bo Wang, Guangsheng Zhou
Summary: Drought poses serious threats to global crop production, including oilseed crops like Brassica napus L. Various approaches have been used to increase drought tolerance, but there is room for further improvement. Future research should focus on developing genetically engineered rapeseed plants with enhanced drought tolerance.
JOURNAL OF PLANT GROWTH REGULATION
(2023)
Article
Ophthalmology
Muhammad Hassan, Mohammad Ali Sadiq, Maria Soledad Ormaechea, Gunay Uludag, Muhammad Sohail Halim, Rubbia Afridi, Diana Do, Yasir Jamal Sepah, Quan Dong Nguyen
Summary: Intravenous tocilizumab showed efficacy in improving or maintaining stability in patients with non-infectious uveitis when assessed using a composite endpoint scoring system.
BRITISH JOURNAL OF OPHTHALMOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Bader Saud Alotaibi, Jatin Joshi, Mohammad Raghibul Hasan, Mohd Shahnawaz Khan, Salem Hussain Alharethi, Taj Mohammad, Fahad A. Alhumaydhi, Abdelbaset Mohamed Elasbali, Md Imtaiyaz Hassan
Summary: In this study, potential inhibitors of ROCK1 were identified through structure-based virtual screening of natural compounds. Isoononin and Candidissiol showed appreciable binding affinity and selectivity towards ROCK1, and molecular dynamics simulations confirmed their stability.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Computer Science, Hardware & Architecture
Md Golam Rabiul Alam, Abde Musavvir Khan, Myesha Farid Shejuty, Syed Ibna Zubayear, Md Nafis Shariar, Meteb Altaf, Mohammad Mehedi Hassan, Salman A. AlQahtani, Ahmed Alsanad
Summary: This paper proposes an automated Ejection Fraction estimation system from 2D echocardiography images using deep semantic segmentation neural networks. Two parallel pipelines of deep semantic segmentation neural network models have been proposed for efficient left ventricle segmentation, and three different neural networks, UNet, ResUNet, and Deep ResUNet, have been implemented. The most accurate model achieved high Dice scores for left ventricle segmentation in both systolic and diastolic states. The proposed system can remove the eyeball estimation practice and reduce inter-observer variability.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Information Systems
Muhammad Umair Hassan, Dongmei Niu, Mingxuan Zhang, Xiuyang Zhao
Summary: This research proposes a novel asymmetric learning-based generative adversarial network (AGAN) for image retrieval, integrating feature learning with hashing and introducing three loss functions that significantly improve retrieval performance.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Biochemistry & Molecular Biology
Rashid Waseem, Anas Shamsi, Tanzeel Khan, Ayesha Anwer, Mohammad Shahid, Syed Naqui Kazim, Md. Imtaiyaz Hassan, Asimul Islam
Summary: This study monitored the formation of advanced glycation end products (AGEs) and aggregates of irisin, a clinically important protein, induced by methyl-glyoxal (MG). The results suggest that glycation of irisin leads to aggregation, and high levels of MG may contribute to reduced irisin levels in pathological conditions such as obesity, diabetes, and neurological disorders.
JOURNAL OF CELLULAR BIOCHEMISTRY
(2023)
Article
Biochemistry & Molecular Biology
Tufail Ali, Farah Anjum, Arunabh Choudhury, Alaa Shafie, Amal Adnan Ashour, Abdulraheem Almalki, Taj Mohammad, Md. Imtaiyaz Hassan
Summary: Spleen tyrosine kinase (SYK) is a non-receptor tyrosine kinase that plays a crucial role in signal transduction in different cell types. In this study, two natural compounds, Isolysergic acid and Michelanugine, were identified as potential SYK inhibitors with strong affinity and specificity for the SYK binding pocket. These compounds have the potential to be developed into promising SYK inhibitors for the treatment of autoimmune disorders, cancer, and inflammatory diseases.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Chemistry, Physical
Ishfaq Ahmad Ahanger, Zahoor Ahmad Parray, Neha Raina, Sania Bashir, Faizan Ahmad, Md. Imtaiyaz Hassan, Mohammad Shahid, Anurag Sharma, Asimul Islam
Summary: This study investigates the effect of heparin on CTAB-induced aggregation of bovine serum albumin (BSA) using biophysical techniques. The results show that heparin completely inhibits CTAB-induced protein aggregation and reduces the apparent rate constant. CTAB acts as a protein-aggregating agent, but heparin prevents the perturbation of secondary and tertiary structure induced by CTAB and the formation of amyloid-like structures. ITC measurements reveal that CTAB and heparin form a complex that does not bind with protein. The CTAB-heparin complex may play a role in inhibiting protein aggregation and could serve as a basis for developing therapeutic strategies for various neurodegenerative complications.
JOURNAL OF MOLECULAR STRUCTURE
(2023)
Review
Biochemistry & Molecular Biology
Neha Basheer, Tomas Smolek, Imtaiyaz Hassan, Fei Liu, Khalid Iqbal, Norbert Zilka, Petr Novak
Summary: Protein kinases (PKs) are extensively studied drug targets, particularly in the field of oncology and neurodegeneration. Tau protein hyperphosphorylation, a post-translational modification observed in Alzheimer's disease (AD), highlights the involvement of PKs in neurodegeneration. The efficacy of protein kinase inhibitors (PKIs) and protein phosphatase 2 A (PP2A) activators in AD has been investigated in preclinical and clinical studies, but the outcomes have been variable. This review examines the results of these studies and evaluates the potential of targeting tau hyperphosphorylation as a disease modifying therapy.
MOLECULAR PSYCHIATRY
(2023)
Article
Engineering, Environmental
Amina Ashraf, Ruba Munir, Gadah Albasher, Madiha Ghamkhar, Amna Muneer, Muhammad Yaseen, Tamsal Murtza, Saima Noreen
Summary: In this study, ZnFe2O4 nanocomposites were successfully synthesized and used for dye removal from aqueous solutions. The results showed that pH, adsorbent dosage, contact time, and initial concentration of dyes had an effect on the adsorption performance. The nanocomposites were found to be reusable to some extent.
JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART A-TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING
(2023)
Article
Biotechnology & Applied Microbiology
Prithvi Singh, Aanchal Rathi, Rashmi Minocha, Anuradha Sinha, Mohammad Mahfuzul Haque, Md Imtaiyaz Hassan, Ravins Dohare
Summary: Breast cancer, the second-most common type of cancer and leading cause of cancer-related deaths worldwide, exhibits marked person-to-person variability in susceptibility, phenotypic expression, and prognosis. In this study, we identified PI15 and KRT5 as prognostic hub genes and potential biomarkers in breast cancer, highlighting the need for personalized medicine.
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Anam Ashraf, Mohammad Ahmad, Richard Mariadasse, Monis Ali Khan, Saba Noor, Asimul Islam, Md. Imtaiyaz Hassan
Summary: Staphylococcus aureus is a significant human pathogen that is becoming increasingly resistant to antibiotics. This study focuses on thymidine kinase (TK), an enzyme essential for DNA synthesis and repair, and investigates how different pH levels affect its structure and function. The findings indicate that pH variation disrupts the secondary and tertiary structures of TK, leading to aggregate formation at pH 5.0. The enzyme displays maximum activity within the physiological pH range, suggesting a connection between structural changes and enzymatic activity.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Biochemistry & Molecular Biology
Deeba Shamim Jairajpuri, Taj Mohammad, Afzal Hussain, Samira Amir, Urooj Fatima, Mohamed F. AlAjmi, Dharmendra Kumar Yadav, Md. Imtaiyaz Hassan
Summary: This study explored the potential of phytoconstituents as inhibitors of ALK1 using virtual screening and molecular dynamics simulations. Candidine, a phytoconstituent, showed high affinity and specific interactions with the ALK1 active site, stabilizing its structure.
JOURNAL OF MOLECULAR RECOGNITION
(2023)
Article
Engineering, Civil
Xiaoding Wang, Sahil Garg, Hui Lin, Georges Kaddoum, Jia Hu, Mohammad Mehedi Hassan
Summary: This paper proposes a hierarchical trust evaluation strategy based on heterogeneous blockchain, utilizing federated deep learning technology for Intelligent Transportation Systems (ITS) security.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)