N
Nezar Noor Al-hebshi
Researcher at Temple University
Publications - 58
Citations - 1746
Nezar Noor Al-hebshi is an academic researcher from Temple University. The author has contributed to research in topics: Microbiome & Medicine. The author has an hindex of 21, co-authored 48 publications receiving 1268 citations. Previous affiliations of Nezar Noor Al-hebshi include University of Bergen & Jazan University.
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Khat (Catha edulis)—an updated review
Nezar Noor Al-hebshi,Nils Skaug +1 more
TL;DR: An extensive literature on khat providing information about its history, botany, production, geographical distribution, chemistry and pharmacology, and exploring the social, economic, medical, psychological and oral aspects related to its use is provided.
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Inflammatory bacteriome featuring Fusobacterium nucleatum and Pseudomonas aeruginosa identified in association with oral squamous cell carcinoma.
Nezar Noor Al-hebshi,Akram Thabet Nasher,Mohamed Yousef Maryoud,Husham E. Homeida,Tsute Chen,A.M. Idris,Newell W. Johnson +6 more
TL;DR: Functional prediction showed that genes involved in bacterial mobility, flagellar assembly, bacterial chemotaxis and LPS synthesis were enriched in the tumors while those responsible for DNA repair and combination, purine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, ribosome biogenesis and glycolysis/gluconeogenesis were significantly associated with the controls.
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Emerging role of bacteria in oral carcinogenesis: a review with special reference to perio-pathogenic bacteria
TL;DR: A critical analysis of and an update on the association between bacteria and oral carcinogenesis and the possible mechanisms underlying it are provided.
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Inflammatory Bacteriome and Oral Squamous Cell Carcinoma
Manosha Perera,Nezar Noor Al-hebshi,Irosha Perera,Deepak S. Ipe,Glen C. Ulett,David Speicher,David Speicher,David Speicher,Tsute Chen,Newell W. Johnson,Newell W. Johnson +10 more
TL;DR: Functionally, proinflammatory bacterial attributes, including lipopolysaccharide biosynthesis and peptidases, were enriched in the OSCC tissues, substantiating evidence for the inflammatory nature of the bacteriome associated with OSCC.
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Robust species taxonomy assignment algorithm for 16S rRNA NGS reads: application to oral carcinoma samples.
TL;DR: A robust algorithm for species-level classification of NGS reads from oral samples is developed and pilot test it for profiling bacteria within OSCC tissues, ensuring reliable classification by giving priority to the human, oral reference set.