Study of Antimicrobial Activities of Antibiotics and Herbal Extracts against Oral Pathogens - Streptococcus mutans and Fusobacterium nucleatum

Study of Antimicrobial Activities of Antibiotics and Herbal Extracts against Oral Pathogens - Streptococcus mutans and Fusobacterium nucleatum

Registration ID: IJNRD_216230

Published ID: IJNRD2403394

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Dr. Reena Kulshrestha , Mrs. Pooja Sitholay , Ms. Sangita Roy

Antimicrobial susceptibility tests, Herbal Extracts, oral pathogens

Abstract Introduction: Oral health is extricably linked to general health and vice versa therefore maintaining healthy mouth is of vital importance for a person. Antibiotics play a very important role in preventing diseases of oral cavity but many studies reveal that many of such oral micro-organism tend to show resistance towards common antibiotics. To overcome this, traditional medicines have been considered as useful alternatives to synthetic drugs. Now a day’s trend is to use more of the Herbal products as cosmetics and the same shift is seen in dental products such as mouth rinse and Tooth pastes. To evaluate the efficiency of these extracts of medicinal plants, we conducted the Antimicrobial Susceptibility test of the oral pathogens against herbal extracts, and compared it with routinely used antibiotics. Material and Method: The antibacterial activities on the bacteria were studied by approaching two different ways of treatments: i) common allopathic antibiotics ii) herbal antibiotic extracts Two bacteria commonly found in the oral cavity of the patients were chosen for antibiotic susceptibility tests - Streptococcus mutans and Fusobacterium nucleatum Four herbal extract - Aloe Vera, Triphala, Neem, and Shyama Tulsi and four antibiotics - Ceftazidime, Gentamycin, Amikacin and Ciprofloxacin were chosen for the study. Kirby Bauer Disc Diffusion method was employed to check the efficacy of the antibiotics and herbal extracts against the isolated pathogens. Result: In our study, Aloe Vera, failed to indicate any positive response when treated against pathogenic bacteria; Fusobacterium nucleatum , and Streptococcus mutans . The herbal extracts of “Triphala” succeeded to develop a satisfactory inhibition zone, compatible to the allopathic drugs. “Neem” was found to be highly potent antibiotic agent against few bacteria;Steptrococcus mutans. Discussion: The gradual increment in resistance against the allopathic medicines and the adverse effects has compelled the dental surgeons and other researchers to look for some novel herbal compounds which could be used for effective treatment of oral diseases Conclusion: The overall results on antimicrobial susceptibility tests against every isolated oral pathogenic bacterium, showed that the overall performance of allopathic drugs were good as antibiotic agents to check the bacterial growth. However, all the bacteria were found to resist the antibacterial effects of other treated herbal extracts. “Neem” was found to be highly potent antibiotic agent against few bacteria like Steptrococcus mutans.

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"Study of Antimicrobial Activities of Antibiotics and Herbal Extracts against Oral Pathogens - Streptococcus mutans and Fusobacterium nucleatum", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d701-d706, March-2024, Available :https://ijnrd.org/papers/IJNRD2403394.pdf

Volume 9 Issue 3, March-2024

Pages : d701-d706

Paper Reg. ID: IJNRD_216230

Published Paper Id: IJNRD2403394

Downloads: 000121248

Research Area: Life Sciences 

Country: Bhilai, Chhattisgarh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403394.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403394

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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