Back

Identification of potent and orally efficacious phosphodiesterase inhibitors in Cryptosporidium parvum-infected immunocompromised mice

Teixeira, J. E.; Gasonoo, M.; Miller, P.; Ajiboye, J.; Cameron, A. C.; Stebbins, E.; Campbell, S. D.; Griggs, D. W.; Spangenberg, T.; Meyers, M. J.; Huston, C. D.

2023-09-26 microbiology
10.1101/2023.09.26.559556 bioRxiv
Show abstract

Cryptosporidium species, mostly C. parvum and C. hominis in humans, are intestinal apicomplexan parasites that cause life-threatening diarrhea in young children and people with cell-mediated immune defects, such as due to AIDS. There is only one approved treatment for cryptosporidiosis, but it is ineffective for immunocompromised people and only modestly effective for children. In this study, screening 278 compounds from the Merck KGaA, Darmstadt, Germany collection and accelerated follow-up work enabled by prior investigation of the compounds resulted in identification of a series of pyrazolopyrimidine human phosphodiesterase (PDE)-V inhibitors with potent anticryptosporidial activity and efficacy following oral administration in C. parvum-infected immunocompromised mice. The novel PDE inhibitor leads (compounds PDEi2 and PDEi5) affect parasite egress from infected host cells. They have comparable activity against C. parvum and C. hominis, rapidly eliminate C. parvum in tissue culture, and have minimal off-target effects in a panel of safety screening assays. In comparison, the potent human PDE-V inhibitors sildenafil and the 4-aminoquinoline compound 7a have no useful activity against C. parvum. Based on homology modeling and in silico compound docking, PDEi5 interacts directly with an active-site metal ion and docks well to two C. parvum PDEs. In contrast, larger amino acid side groups (Val900/Tyr11128 and His884/Asn1112) in both C. parvum PDEs replace alanine in human PDE-V and block sildenafil binding, explaining its lack of efficacy. These results identify a promising new drug target and lead series for anticryptosporidial drug development and validates a route to target-based optimization.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
ACS Infectious Diseases
82 papers in training set
Top 0.1%
27.4%
2
Journal of Medicinal Chemistry
77 papers in training set
Top 0.1%
12.3%
3
eLife
5828 papers in training set
Top 12%
8.1%
4
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 8%
5.6%
50% of probability mass above
5
Nature Communications
5641 papers in training set
Top 29%
5.0%
6
Scientific Reports
3612 papers in training set
Top 31%
3.3%
7
Antimicrobial Agents and Chemotherapy
187 papers in training set
Top 0.7%
3.3%
8
mBio
833 papers in training set
Top 6%
2.8%
9
Journal of Antimicrobial Chemotherapy
46 papers in training set
Top 0.4%
2.5%
10
European Journal of Medicinal Chemistry
17 papers in training set
Top 0.1%
1.8%
11
Science Advances
1243 papers in training set
Top 19%
1.7%
12
npj Antimicrobials and Resistance
11 papers in training set
Top 0.1%
1.5%
13
PLOS Pathogens
820 papers in training set
Top 7%
1.5%
14
ChemMedChem
16 papers in training set
Top 0.2%
1.4%
15
Cell Chemical Biology
94 papers in training set
Top 1%
1.4%
16
PLOS ONE
5266 papers in training set
Top 54%
1.2%
17
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.5%
1.2%
18
Nature
645 papers in training set
Top 9%
1.1%
19
ACS Chemical Biology
167 papers in training set
Top 2%
0.9%
20
Communications Biology
993 papers in training set
Top 28%
0.9%
21
PLOS Biology
486 papers in training set
Top 11%
0.9%
22
ACS Omega
105 papers in training set
Top 4%
0.6%
23
Communications Chemistry
48 papers in training set
Top 2%
0.6%
24
Microbiology Spectrum
469 papers in training set
Top 11%
0.6%