scholarly journals Small Molecule Lactoferrin with an Inflammatory Effect But No Apparent Antibacterial Activity in Mastitic Mammary Gland Secretion

2005 ◽  
Vol 67 (7) ◽  
pp. 667-677 ◽  
Author(s):  
Ken-ichi KOMINE ◽  
Yumiko KOMINE ◽  
Toshinobu KUROISHI ◽  
Jin KOBAYASHI ◽  
Yoshiaki OBARA ◽  
...  
2006 ◽  
Vol 68 (1) ◽  
pp. 59-63 ◽  
Author(s):  
Yumiko KOMINE ◽  
Ken-ichi KOMINE ◽  
Kenzou KAI ◽  
Toshinobu KUROISHI ◽  
Masashi ITAGAKI ◽  
...  

1988 ◽  
Vol 55 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Robert A. Collins ◽  
Keith R. Parsons ◽  
Terry R. Field ◽  
A. John Bramley

SummaryXanthine oxidase (XO) was demonstrated to be present in the teat canal and secretory tissue of the bovine mammary gland by histochemical techniques. Homogenates of these tissues were able to replace XO in an antibacterial assay with Streptococcus uberis. The action of XO on its substrate hypoxanthine was shown to provide an essential component for anti-streptococcal activity mediated by lactoperoxidase. A mechanism is proposed whereby the interaction of XO, lactoperoxidase and thiocyanate may provide antibacterial activity in the teat canal.


2018 ◽  
Vol 66 ◽  
pp. 248 ◽  
Author(s):  
J.T. Hayna ◽  
S.R. Randell ◽  
C.A. Burden ◽  
M.A. Pozor ◽  
S.A. Benson ◽  
...  

2020 ◽  
Vol 22 (9) ◽  
pp. 440-445
Author(s):  
Rahul Upadhyay ◽  
Rahul Kumar ◽  
Manoj Jangra ◽  
Rohit Rana ◽  
Onkar S. Nayal ◽  
...  

2018 ◽  
Vol 9 (37) ◽  
pp. 4611-4616 ◽  
Author(s):  
Jiangna Guo ◽  
Jing Qin ◽  
Yongyuan Ren ◽  
Bin Wang ◽  
Hengqing Cui ◽  
...  

Imidazolium (Im), quaternary ammonium (Qa), and 1,4-diazabicyclo[2.2.2]octane-1,4-diium (DABCO-diium) cation-based small molecule cationic compounds and their corresponding side-chain/main-chain cationic polymers were synthesized.


1967 ◽  
Vol 34 (1) ◽  
pp. 1-12 ◽  
Author(s):  
J. V. Wheelock ◽  
A. Smith ◽  
F. H. Dodd ◽  
R. L. J. Lyster

SummaryThe changes in the yield and composition of the mammary gland secretion in the first 16 days of the dry period have been investigated in 6 cows. The quantity of secretion, lactose, potassium, casein, α-lactalbumin, β-lactoglobulin and fat present in the gland decreased rapidly. A decrease was also observed for sodium, chloride, residual albumin and proteose-peptone + globulin but was much less marked. Changes in composition were qualitatively similar to those normally occurring at the end of lactation but they were much more pronounced. Within 8 days after drying-off the concentrations in the secretion of sodium, chloride and potassium were similar to those of blood. There were differences between, animals in the rate at which the changes developed. As the secretory activity of the gland ceased, the constituents of the mammary gland secretion appeared to be resorbed.


2000 ◽  
Vol 275 (26) ◽  
pp. 19469-19474 ◽  
Author(s):  
Rene Lametsch ◽  
Jan T. Rasmussen ◽  
Laust B. Johnsen ◽  
Stig Purup ◽  
Kristen Sejrsen ◽  
...  

Author(s):  
Sara S. El Zahed ◽  
Shawn French ◽  
Maya A. Farha ◽  
Garima Kumar ◽  
Eric D. Brown

Discovering new Gram-negative antibiotics has been a challenge for decades. This has been largely attributed to a limited understanding of the molecular descriptors governing Gram-negative permeation and efflux evasion. Herein, we address the contribution of efflux using a novel approach that applies multivariate analysis, machine learning, and structure-based clustering to some 4,500 actives from a small molecule screen in efflux-compromised Escherichia coli. We employed principal-component analysis and trained two decision tree-based machine learning models to investigate descriptors contributing to the antibacterial activity and efflux susceptibility of these actives. This approach revealed that the Gram-negative activity of hydrophobic and planar small molecules with low molecular stability is limited to efflux-compromised E. coli. Further, molecules with reduced branching and compactness showed increased susceptibility to efflux. Given these distinct properties that govern efflux, we developed the first machine learning model, called Susceptibility to Efflux Random Forest (SERF), as a tool to analyze the molecular descriptors of small molecules and predict those that could be susceptible to efflux pumps in silico. Here, SERF demonstrated high accuracy in identifying such molecules. Further, we clustered all 4,500 actives based on their core structures and identified distinct clusters highlighting side chain moieties that cause marked changes in efflux susceptibility. In all, our work reveals a role for physicochemical and structural parameters in governing efflux, presents a machine learning tool for rapid in silico analysis of efflux susceptibility, and provides a proof of principle for the potential of exploiting side chain modification to design novel antimicrobials evading efflux pumps.


Heliyon ◽  
2019 ◽  
Vol 5 (10) ◽  
pp. e02676
Author(s):  
Sergii Shapovalov ◽  
Sergei Mikhaylov ◽  
Skryl Andrey ◽  
Yelizaveta Chereshneva ◽  
Dibahan Tsomartova ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document