Introduction to AMR

Antimicrobial resistance (AMR) is a major global health threat, responsible for 1.27 million deaths in 2019 and contributing to 4.95 million deaths (AMR Collaborators, 2022).

In this R markdown document we will be discussing the WHO AMR Products Data.

The WHO AMR Products pipeline tracks efforts to develop new treatments for resistant infections. Our analysis highlights progress and challenges in creating antimicrobial products to combat resistance.

The data used in this document can be found below
https://raw.githubusercontent.com/HackBio-Internship/public_datasets/main/R/WHO_AMR_PRODUCTS_DATA.tsv



Product Type

The Product type represents the classification of the antimicrobial product, which can be seen in the graph.

Figure 1 shows 383 383 traditional antibiotics and 283 non-traditional products in the pipeline. While many efforts focus on improving conventional antibiotics, nearly half explore innovative approaches like bacteriophages, probiotics, and immune modulators, balancing existing treatments with new strategies.

Figure 1. Showing the Distribution of Product Type

Figure 1. Showing the Distribution of Product Type


R & D


The Research and Development (R&D) phase in AMR products are crucial because they ensure that new treatments are safe, effective, and ready for use.

Figure 2. shows the distribution of each R&D phase Whilst Figure 3. highlights the fact that only 27 products got to Pregresitration phase. Which makes it obvious that “BB128”, “AB103”, and “Solithromycin” might be the only products which might hit the market soon.


R & D Comparison

Distribution of R & D Phase

Figure 2. Showing the Distribution of R & D Phase of Products

Figure 2. Showing the Distribution of R & D Phase of Products

Product Vs R&D Phase

Figure 3. Showing the Distribution of Products and their R & D Phases

Figure 3. Showing the Distribution of Products and their R & D Phases



Route of Administration

IV & oral is shown to be the best route of administration for most products.


Figure 6. Showing the Route of Administration

Figure 6. Showing the Route of Administration



Active against priority pathogens

In Figure.4 Out of the 669 antibacterial entries tested, a total of 146 (21.8%) showed activity against priority pathogens.

Figure 4. Showing the Distribution of Active against priority pathogens

Figure 4. Showing the Distribution of Active against priority pathogens



“Pathogen Activity” against “Active against Priority pathogens”


Figure.6 shows a nearly equal number of products targeting both critical (74) and other priority pathogens (72), highlighting a well-rounded effort to fight antimicrobial resistance.

Figure 6. Showing the Distribution Pathogen Activity against Active against Priority pathogens

Figure 6. Showing the Distribution Pathogen Activity against Active against Priority pathogens



Active against priority pathogens Comparison

Out of 669 pathogens names, 146 were marked as “Yes” for being active against priority pathogens. Among these, critical priority pathogens had the highest. For the product by active against priority pathogens Rhu-pGSN is seen to have the highest number of “Yes”.


Pathogen against Active Priority pathogen

Figure 7. Showing the Distribution of Pathogen name against Active Priority pathogen

Figure 7. Showing the Distribution of Pathogen name against Active Priority pathogen

Product against Active Pathogens

Figure 8. Showing the Distribution of Product Name by Active Pathogens

Figure 8. Showing the Distribution of Product Name by Active Pathogens

Alternative name against Active priority pathogen

Figure 9. Showing the Distribution of Alternative name by Active priority pathogen

Figure 9. Showing the Distribution of Alternative name by Active priority pathogen



Product against Active priority pathogens

In Figure.10 We evaluated how well the products work against critical pathogens. “Yes” means the pathogen is susceptible, “No” means it’s resistant, and “Possibly” indicates the need for more research to improve effectiveness.

Figure 10. Showing the Distribution of Product Name by Active Pathogens

Figure 10. Showing the Distribution of Product Name by Active Pathogens


THANK YOU


Reference

Antimicrobial Resistance Collaborators. (2022). Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. The Lancet; 399(10325): P629-655. DOI: https://doi.org/10.1016/S0140-6736(21)02724-0