Evaluation of L-Alanine Metabolism in Bacteria and Whole-Body Distribution with Bacterial Infection Model Mice

The World Health Organization has cautioned that antimicrobial resistance (AMR) will be responsible for an estimated 10 million deaths annually by 2050. To facilitate prompt and accurate diagnosis and treatment of infectious disease, we investigated the potential of amino acids for use as indicators...

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Published inInternational journal of molecular sciences Vol. 24; no. 5; p. 4775
Main Authors Muranaka, Yuka, Matsue, Miki, Mizutani, Asuka, Kobayashi, Masato, Sato, Kakeru, Kondo, Ami, Nishiyama, Yuri, Ohata, Shusei, Nishi, Kodai, Yamazaki, Kana, Nishii, Ryuichi, Shikano, Naoto, Okamoto, Shigefumi, Kawai, Keiichi
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 01.03.2023
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Abstract The World Health Organization has cautioned that antimicrobial resistance (AMR) will be responsible for an estimated 10 million deaths annually by 2050. To facilitate prompt and accurate diagnosis and treatment of infectious disease, we investigated the potential of amino acids for use as indicators of bacterial growth activity by clarifying which amino acids are taken up by bacteria during the various growth phases. In addition, we examined the amino acid transport mechanisms that are employed by bacteria based on the accumulation of labeled amino acids, Na dependence, and inhibitory effects using a specific inhibitor of system A. We found that H-L-Ala accurately reflects the proliferative activity of K-12 and pathogenic EC-14 in vitro. This accumulation in could be attributed to the amino acid transport systems being different from those found in human tumor cells. Moreover, biological distribution assessed in infection model mice with EC-14 using H-L-Ala showed that the ratio of H-L-Ala accumulated in infected muscle to that in control muscle was 1.20. By detecting the growth activity of bacteria in the body that occurs during the early stages of infection by nuclear imaging, such detection methods may result in expeditious diagnostic treatments for infectious diseases.
AbstractList The World Health Organization has cautioned that antimicrobial resistance (AMR) will be responsible for an estimated 10 million deaths annually by 2050. To facilitate prompt and accurate diagnosis and treatment of infectious disease, we investigated the potential of amino acids for use as indicators of bacterial growth activity by clarifying which amino acids are taken up by bacteria during the various growth phases. In addition, we examined the amino acid transport mechanisms that are employed by bacteria based on the accumulation of labeled amino acids, Na+ dependence, and inhibitory effects using a specific inhibitor of system A. We found that 3H-L-Ala accurately reflects the proliferative activity of Escherichia coli K-12 and pathogenic EC-14 in vitro. This accumulation in E. coli could be attributed to the amino acid transport systems being different from those found in human tumor cells. Moreover, biological distribution assessed in infection model mice with EC-14 using 3H-L-Ala showed that the ratio of 3H-L-Ala accumulated in infected muscle to that in control muscle was 1.20. By detecting the growth activity of bacteria in the body that occurs during the early stages of infection by nuclear imaging, such detection methods may result in expeditious diagnostic treatments for infectious diseases.
The World Health Organization has cautioned that antimicrobial resistance (AMR) will be responsible for an estimated 10 million deaths annually by 2050. To facilitate prompt and accurate diagnosis and treatment of infectious disease, we investigated the potential of amino acids for use as indicators of bacterial growth activity by clarifying which amino acids are taken up by bacteria during the various growth phases. In addition, we examined the amino acid transport mechanisms that are employed by bacteria based on the accumulation of labeled amino acids, Na dependence, and inhibitory effects using a specific inhibitor of system A. We found that H-L-Ala accurately reflects the proliferative activity of K-12 and pathogenic EC-14 in vitro. This accumulation in could be attributed to the amino acid transport systems being different from those found in human tumor cells. Moreover, biological distribution assessed in infection model mice with EC-14 using H-L-Ala showed that the ratio of H-L-Ala accumulated in infected muscle to that in control muscle was 1.20. By detecting the growth activity of bacteria in the body that occurs during the early stages of infection by nuclear imaging, such detection methods may result in expeditious diagnostic treatments for infectious diseases.
The World Health Organization has cautioned that antimicrobial resistance (AMR) will be responsible for an estimated 10 million deaths annually by 2050. To facilitate prompt and accurate diagnosis and treatment of infectious disease, we investigated the potential of amino acids for use as indicators of bacterial growth activity by clarifying which amino acids are taken up by bacteria during the various growth phases. In addition, we examined the amino acid transport mechanisms that are employed by bacteria based on the accumulation of labeled amino acids, Na[sup.+] dependence, and inhibitory effects using a specific inhibitor of system A. We found that [sup.3]H-L-Ala accurately reflects the proliferative activity of Escherichia coli K-12 and pathogenic EC-14 in vitro. This accumulation in E. coli could be attributed to the amino acid transport systems being different from those found in human tumor cells. Moreover, biological distribution assessed in infection model mice with EC-14 using [sup.3]H-L-Ala showed that the ratio of [sup.3]H-L-Ala accumulated in infected muscle to that in control muscle was 1.20. By detecting the growth activity of bacteria in the body that occurs during the early stages of infection by nuclear imaging, such detection methods may result in expeditious diagnostic treatments for infectious diseases.
The World Health Organization has cautioned that antimicrobial resistance (AMR) will be responsible for an estimated 10 million deaths annually by 2050. To facilitate prompt and accurate diagnosis and treatment of infectious disease, we investigated the potential of amino acids for use as indicators of bacterial growth activity by clarifying which amino acids are taken up by bacteria during the various growth phases. In addition, we examined the amino acid transport mechanisms that are employed by bacteria based on the accumulation of labeled amino acids, Na + dependence, and inhibitory effects using a specific inhibitor of system A. We found that 3 H-L-Ala accurately reflects the proliferative activity of Escherichia coli K-12 and pathogenic EC-14 in vitro. This accumulation in E. coli could be attributed to the amino acid transport systems being different from those found in human tumor cells. Moreover, biological distribution assessed in infection model mice with EC-14 using 3 H-L-Ala showed that the ratio of 3 H-L-Ala accumulated in infected muscle to that in control muscle was 1.20. By detecting the growth activity of bacteria in the body that occurs during the early stages of infection by nuclear imaging, such detection methods may result in expeditious diagnostic treatments for infectious diseases.
Audience Academic
Author Mizutani, Asuka
Shikano, Naoto
Kobayashi, Masato
Sato, Kakeru
Ohata, Shusei
Kawai, Keiichi
Matsue, Miki
Nishii, Ryuichi
Nishi, Kodai
Muranaka, Yuka
Kondo, Ami
Nishiyama, Yuri
Okamoto, Shigefumi
Yamazaki, Kana
AuthorAffiliation 5 Department of Radioisotope Medicine, Atomic Bomb Disease Institute, Nagasaki University, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
8 Advanced Health Care Science Research Unit, Innovative Integrated Bio-Research Core Institute for Frontier Science Initiative, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan
4 Department of Radiation Technology, Toyama Red Cross Hospital, 2-1-58 Ushijimahonmachi, Toyama 930-8562, Japan
6 Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan
1 Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan
2 Ishikawa Prefectural Institute of Public Health and Environmental Science, 1-11 Taiyogaoka, Kanazawa 920-1154, Japan
7 Department of Radiological Sciences, Ibaraki Prefectural University of Heal
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  fullname: Kawai, Keiichi
  organization: Biomedical Imaging Research Center, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Fukui 910-1193, Japan
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crossref_primary_10_3390_horticulturae10040367
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Issue 5
Keywords bacterial imaging
alanine
nuclear medicine imaging
bacterial infection
amino acids
Language English
License Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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These authors contributed equally to this work.
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Snippet The World Health Organization has cautioned that antimicrobial resistance (AMR) will be responsible for an estimated 10 million deaths annually by 2050. To...
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StartPage 4775
SubjectTerms Accumulation
Alanine
Alanine - metabolism
Amino acids
Amino Acids - metabolism
Animal models
Animals
Antimicrobial resistance
Bacteria
bacterial imaging
bacterial infection
Bacterial Infections
Cancer
E coli
Escherichia coli
Escherichia coli - metabolism
Escherichia coli K12 - metabolism
Health aspects
Humans
Infections
Infectious diseases
L-Alanine
Mice
Muscles
nuclear medicine imaging
Pathogens
Physiological aspects
Transportation systems
Tumor cells
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Title Evaluation of L-Alanine Metabolism in Bacteria and Whole-Body Distribution with Bacterial Infection Model Mice
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