Antibiotics Resistance is a new issue in Microbiology-Medicine aspects, taken from Lange Review of Medical Microbiology, this purpose is for education only
Molecular mechanisms of antimicrobial resistance in bacteria Jobir Nadhi
Molecular mechanisms of antimicrobial resistance in bacteria by highlighting the aspects of antimicrobial resistance
through a discussion of:
Bacterial strategies involved in resisting antimicrobial actions and
The molecular basis for bacterial resistance to
antimicrobial actions
some note kept in phrase are completed visualizing the picture.
Antibiotics Resistance is a new issue in Microbiology-Medicine aspects, taken from Lange Review of Medical Microbiology, this purpose is for education only
Molecular mechanisms of antimicrobial resistance in bacteria Jobir Nadhi
Molecular mechanisms of antimicrobial resistance in bacteria by highlighting the aspects of antimicrobial resistance
through a discussion of:
Bacterial strategies involved in resisting antimicrobial actions and
The molecular basis for bacterial resistance to
antimicrobial actions
some note kept in phrase are completed visualizing the picture.
this slides includes overview of antimicrobial drugs, their classifications, antimicrobial resistance, adverse effects and toxicity, choice of antimicrobial drugs and its uses
FLOW OF THE SEMINAR
1. Definition – antibiotic resistance, Multi-resistance, cross-resistance in antibiotics
2. Evolution of resistance
3. Impact of resistance
4. The scenario of resistance: Global, India
5. Factors causing resistance
6. Mechanisms of resistance: Intrinsic and Acquired
7. Acquired mechanism of resistance
8. Quorum sensing
9. Mechanism of resistance in commonly used antibiotics
10. Methods for determining the resistance
11. Strategies to contain resistance
12. Antibiotic stewardship
13. Role of Pharmacologist
14. Initiatives undertaken by India to control resistance
Plasmids have found important applications in biotechnology especially in recombinant DNA technology. However, most antibiotic resistant genes are transferred from one organism to the other through horizontal transfer of gene via this vehicle.
Anti-microbial resistance has become a world health issue today. Therefore it is imperative to know about the methods of acquiring resistance and ways to deal with the situation and prevent resistance.
Environmental Transmission of Antimicrobial ResistancePranab Chatterjee
This is the second lecture I took for the MPH students at the Indian Institute of Public Health, Delhi, as a part of the Environmental Health module. In this lecture I introduce the students to the basics of AMR and some common modes and routes of transmission of the same through the environment.
Antibiotic resistance I Mechanism I Types I Contributing factors.kausarneha
Antibiotic resistance in bacteria is a global threat of 21st century. Here is a brief discussion of Antimicrobial resistance or Drug resistance disease. If you want to study via video lecture on this visit on my YouTube channel : Microbiology WISDOM:
Here you can find further more such interesting topics.
Assessment of Antibiogram of Multidrug-Resistant Isolates of Enterobacter aer...wilhelm mendel
Enterobacter aerogenes (E. aerogenes) has been reported as the versatile opportunistic pathogen associated with the hospital infections worldwide. The aim of the study was to determine the impact of Mr. Trivedi’s biofield energy treatment on multidrug resistant clinical lab isolates (LSs) of E. aerogenes. The MDR isolates of E. aerogenes (i.e., LS 45 and LS 54) were divided into two groups, i.e., control and treated. Samples were analyzed for antimicrobial susceptibility pattern, minimum inhibitory concentration (MIC), biochemical study, and biotype number using MicroScan Walk-Away® system, on day 10 after the biofield treatment. The antimicrobial sensitivity assay showed 14.28% alteration out of twenty eight tested antimicrobials with respect to the control. The cefotetan sensitivity changed from intermediate (I) to inducible β-lactamase (IB), while piperacillin/tazobactam changed from resistant to IB in the treated LS 45. Improved sensitivity was reported in tetracycline, i.e., from I to susceptible (S) in LS 45, while chloramphenicol and tetracycline sensitivity changed from R to I in treated LS 54. Four-fold decrease in MIC value was reported in piperacillin/tazobactam, and two-fold decrease in cefotetan and tetracycline in the biofield treated LS 45 as compared to the control. MIC results showed an overall decreased MIC values in 12.50% tested antimicrobials such as chloramphenicol (16 μg/mL) and tetracycline (8 μg/mL) in LS 54. The biochemical study showed an overall 45.45% negative reaction in the tested biochemical in both the treated isolates as compared to the control. A change in biotype number was reported in MDR isolates (LS 45 and LS 54), while in LS 54, altered biotype number, i.e., 0406 0374 as compared to the control (7770 4376), with identification of the new species as Stenotrophomonas maltophilia with brown color as special characteristic. The study findings suggest that Mr. Trivedi’s biofield energy treatment on clinical MDR isolates of E. aerogenes has the significant effect on altering the sensitivity of antimicrobials, decreasing the MIC values, changed biochemical reactions, and biotype number.
Literature Survey Antibiotic ResistanceTuhin Samanta
Anti-toxin obstruction happens when microscopic organisms change in light of the utilization of these medications. Microscopic organisms, not people or creatures, become anti-toxin safe. These microorganisms may contaminate people and creatures, and the diseases they cause are more diligently to treat than those brought about by non-safe microscopic organisms.
this slides includes overview of antimicrobial drugs, their classifications, antimicrobial resistance, adverse effects and toxicity, choice of antimicrobial drugs and its uses
FLOW OF THE SEMINAR
1. Definition – antibiotic resistance, Multi-resistance, cross-resistance in antibiotics
2. Evolution of resistance
3. Impact of resistance
4. The scenario of resistance: Global, India
5. Factors causing resistance
6. Mechanisms of resistance: Intrinsic and Acquired
7. Acquired mechanism of resistance
8. Quorum sensing
9. Mechanism of resistance in commonly used antibiotics
10. Methods for determining the resistance
11. Strategies to contain resistance
12. Antibiotic stewardship
13. Role of Pharmacologist
14. Initiatives undertaken by India to control resistance
Plasmids have found important applications in biotechnology especially in recombinant DNA technology. However, most antibiotic resistant genes are transferred from one organism to the other through horizontal transfer of gene via this vehicle.
Anti-microbial resistance has become a world health issue today. Therefore it is imperative to know about the methods of acquiring resistance and ways to deal with the situation and prevent resistance.
Environmental Transmission of Antimicrobial ResistancePranab Chatterjee
This is the second lecture I took for the MPH students at the Indian Institute of Public Health, Delhi, as a part of the Environmental Health module. In this lecture I introduce the students to the basics of AMR and some common modes and routes of transmission of the same through the environment.
Antibiotic resistance I Mechanism I Types I Contributing factors.kausarneha
Antibiotic resistance in bacteria is a global threat of 21st century. Here is a brief discussion of Antimicrobial resistance or Drug resistance disease. If you want to study via video lecture on this visit on my YouTube channel : Microbiology WISDOM:
Here you can find further more such interesting topics.
Assessment of Antibiogram of Multidrug-Resistant Isolates of Enterobacter aer...wilhelm mendel
Enterobacter aerogenes (E. aerogenes) has been reported as the versatile opportunistic pathogen associated with the hospital infections worldwide. The aim of the study was to determine the impact of Mr. Trivedi’s biofield energy treatment on multidrug resistant clinical lab isolates (LSs) of E. aerogenes. The MDR isolates of E. aerogenes (i.e., LS 45 and LS 54) were divided into two groups, i.e., control and treated. Samples were analyzed for antimicrobial susceptibility pattern, minimum inhibitory concentration (MIC), biochemical study, and biotype number using MicroScan Walk-Away® system, on day 10 after the biofield treatment. The antimicrobial sensitivity assay showed 14.28% alteration out of twenty eight tested antimicrobials with respect to the control. The cefotetan sensitivity changed from intermediate (I) to inducible β-lactamase (IB), while piperacillin/tazobactam changed from resistant to IB in the treated LS 45. Improved sensitivity was reported in tetracycline, i.e., from I to susceptible (S) in LS 45, while chloramphenicol and tetracycline sensitivity changed from R to I in treated LS 54. Four-fold decrease in MIC value was reported in piperacillin/tazobactam, and two-fold decrease in cefotetan and tetracycline in the biofield treated LS 45 as compared to the control. MIC results showed an overall decreased MIC values in 12.50% tested antimicrobials such as chloramphenicol (16 μg/mL) and tetracycline (8 μg/mL) in LS 54. The biochemical study showed an overall 45.45% negative reaction in the tested biochemical in both the treated isolates as compared to the control. A change in biotype number was reported in MDR isolates (LS 45 and LS 54), while in LS 54, altered biotype number, i.e., 0406 0374 as compared to the control (7770 4376), with identification of the new species as Stenotrophomonas maltophilia with brown color as special characteristic. The study findings suggest that Mr. Trivedi’s biofield energy treatment on clinical MDR isolates of E. aerogenes has the significant effect on altering the sensitivity of antimicrobials, decreasing the MIC values, changed biochemical reactions, and biotype number.
Literature Survey Antibiotic ResistanceTuhin Samanta
Anti-toxin obstruction happens when microscopic organisms change in light of the utilization of these medications. Microscopic organisms, not people or creatures, become anti-toxin safe. These microorganisms may contaminate people and creatures, and the diseases they cause are more diligently to treat than those brought about by non-safe microscopic organisms.
Antibiotics are medicines that fight infections caused by bacteria in humans and animals by either killing the bacteria or making it difficult for the bacteria to grow and multiply. Bacteria are germs
Rational Use of Antibiotics. Infection was a major cause of morbidity and mortality, before the development of antibiotics.
The treatment of infections faced a great challenge during those periods.
Later in 1928, the discovery of Penicillin, a beta-lactam antibiotic, by Alexander Fleming opened up the golden era of antibiotics.
It marked a revolution in the treatment of infectious diseases and stimulated new efforts to synthesize newer antibiotics.
The period between the 1950s and 1970s is considered the golden era of discovery of novel antibiotic classes, with very few classes discovered since then.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Cancer cell metabolism: special Reference to Lactate Pathway
Anibiotic therapy
1. DEPARTMENT OF SURGERY
AND DIAGNOSTIC IMAGING
A S S I G N M E N T O F A N T I B I OT I C T H E R A P Y
P R O F. N AM E : D R . K U L I D I P S I N G
S T U D E N T N AM E : J I M C A L E ( D R . A S H R A F )
Mekelle university
college of veterinary medicine
2. overview of antibiotic therapy
A. introduction
B. classification of antibiotic therapy
C. mechanism of action
D. drug resistance mechanism
3. INTRODUCTION
Antimicrobial agents, or more simply
antimicrobials, are chemical compounds that kill or
inhibit the growth of microorganisms.
They are naturally produced by microorganisms
such as fungi (e.g. penicillin) and bacteria (e.g.
tetracycline and erythromycin), or can be
synthetically (e.g. sulfonamides and
fluoroquinolones) or semi-synthetically
produced (e.g. amoxicillin, clarithromycin and
doxycycline).
4. INTRODUCTION
According to the original definition by the Nobel laureate
S. A. Waksman, the term antibiotic only refers to natural
compounds of microbial origin. However, the term is often
used as a synonym for any antimicrobial agent by both
professionals and lay-persons alike.
Antimicrobials targeting bacteria are generally referred
to as antibacterial agents; although some of them (e.g.
sulfonamides and tetracyclines) are also active against
protozoa.
Some antimicrobial agents affect bacterial and human or
animal cells equally due to lack of selective toxicity, and
can therefore only be used on inanimate objects
(disinfectants) or on external surfaces of the body
(antiseptics).
5. CLASSIFICATION OF ANTIMICROBIAL
DRUGS
Antimicrobial drugs are classified in a variety of
ways, based on their basic features.
a. Class of target microorganism
b. Antibacterial activity
c. Bacteriostatic or bactericidal activity
d. Time or concentrated dependent activity
6. a. Class of target microorganism
Antiviral and antifungal drugs generally are active
only against viruses and fungi, respectively.
7. b. Antibacterial activity
Some antibacterial drugs are also considered narrow
spectrum in that they inhibit only gram positive or
gram negative bacteria, where as broad spectrum
drugs inhibit both gram positive and gram negative.
8. c. Bacteriostatic or bactericidal activity
An antibacterial agent that exhibits a large dilution
difference between inhibitory and cidal effects is
considered to be Bacteriostatic drug. On the other
hand, an antibacterial agent that kills the bacterium
at or near the same drug concentration that inhibits
its growth is considered to be a bactericidal drug.
9. d. Time /concentration dependent
activity
Antimicrobial agents are often classified as exerting
either time-dependent or concentration-
dependent activity depending on their
pharmacodynamic properties.
10. Continuee….
Some drugs exit characteristics of both time - and
concentration- dependent activity. The best
predictor of efficacy for these drugs is the 24-hour
AUC/MIC ratio.
. Glycopeptides, rifampin and, to some extent
fluoroquinolones fall within this category.
11. Mechanism of Action of Antimicrobial Drugs
1. ANTIBACTERIAL DRUGS
The mechanism of action of antibacterial fall into five
categories:-
A. Inhibition of cell wall synthesis: - those
antibacterial that inhibit cell wall synthesis are for
example: beta-lactams antibiotics, bacitracin, and
vancomycin.
12. B. Damage of cell membrane functions:
Those antibacterial that inhibit cell membrane
function are for example: polymyxins.
13. C. Inhibition of nucleic acid synthesis
Those antibacterial that inhibit nucleic acid
synthesis are for example: nitroimidazoles,
nitrofurans, quinolones, rifampin
14. D. Inhibition of protein synthesis
Those antibacterial that inhibit protein synthesis
function are for example: aminoglycosides,
chloramphenicol, lincosamides, macrolides,
streptogramins, pleuromutilins, tetracyclines, and
oxazolidinones.
15. E. Inhibition of folic acid synthesis:
Those antibacterial that inhibit folic acid synthesis
function are for example: sulfonamides,
trimethoprim.
16.
17. 2. ANTIFUNGAL DRUGS
Most currently used systemic antifungal drugs
(polyenes, azoles) damage cell membrane function
by binding ergosterols that are unique to the fungal
cell membrane.
18. 3. ANTIVIRAL DRUGS
Antiviral drugs act only during viral replication;
newer analogs are targeted at inhibition of
penetration of viruses into the cell or inhibition of
their assembly and release. The distinction between
deoxyribonucleic acid (DNA) and ribonucleic acid
(RNA) viruses is important in antiviral therapy.
19.
20. Resistance mechanism
Antimicrobial resistance can be classified into four main
categories:
1. The antimicrobial agent can be prevented from reaching
its target by reducing its penetration into the bacterial
cell.
2. General or specific efflux pumps may expel antimicrobial
agents from the cell.
3. The antimicrobial agent can be inactivated by
modification or degradation, either before or after
penetrating the cell.
4. The antimicrobial target may be modified so that the
antimicrobial cannot act on it anymore, or the
microorganism’s acquisition or activation of an alternate
pathway may render the target dispensable.
21. Reference
S.Giguers, J.F. Prescott, J.D. Baggot, R.D.Walker,
P.M.Dowling ( ANTIMICROBIAL THERAPY in veterinary
medicine) fourth edition.
The Danish Small Animal Veterinary Association, SvHKS,
Nov. 2012
Lessons from the Danish Ban on Feed-grade Antibiotics,
Dermot J. Hayes and Helen H.Jensen, Center for Agricultural
and Rural Development, Iowa State University, June 2003,
http://www.card.iastate.edu/publications/dbs/
pdffiles/03bp41.pdf
Veira, A. R. and others. Foodborne Pathogens and Disease
2011, 8(12): 1295-1
Cox, L. A and Singer, R. S. Foodborne Pathogens and Disease,
2012 9(8), 776
22. Aarestrup, F.M. (2006). The origin, evolution and global dissemination of
antimicrobial resistance. In Antimicrobial Resistance in Bacteria of
Animal Origin (ed. Aarestrup, F.M.). ASM Press, American Society for
Microbiology, Washington DC, pp. 339–60.
Guardabassi, L. and Courvalin, P. (2006). Modes of antimicrobial action
and mechanisms of bacterial resistance. In Antimicrobial Resistance in
Bacteria of Animal Origin (ed. Aarestrup, F.M.). ASM Press, American
Society for Microbiology, Washington DC, pp. 1–18.
Kruse, H. and Sorum, H. (1994). Transfer of multiple drug resistance
plasmids between bacteria of diverse origins in natural microenvironments.
Appl. Environ. Microbiol. 60: 4015–21.
Hasman, H., Kempf, I., Chidaine, B. et al. (2007). Copper resistance in
Enterococcus faecium, mediated by the tcrB gene, is selected by
supplementation of pig feed with copper sulphate. Appl. Environ.
Microbiol. 72: 5784–9.
23. Barug, D., de Jong J., Kies, A.K. and Verstegen, M.W.A. (eds.)
(2006). Antimicrobial Growth Promoters: Where Do We Go
From Here? Wageningen Academic Publishers, The
Netherlands.
Schwarz, S. and Chaslus-Dancla, E. (2001). Use of
antimicrobials in veterinary medicine and mechanisms of
resistance. Vet. Res. 32: 201–25.
Anonymous (2005). DANMAP 2004 – Use of antimicrobial
agents and occurrence of antimicrobial resistance in bacteria
from food animals, foods and humans in Denmark. Statens
Serum Institut, Danish Veterinary and Food Administration,
Danish Medicines Agency and Danish Institute for Food and
Veterinary Research; Copenhagen. Available at http://
www.danmap.org/pdfFiles/Danmap_2004.pdf