Noriko Nakanishi

Dr. Noriko Nakanishi

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 May 2022 in Pathogens
Verified
Journal Article
Open access
PDF file
MTMinori Takaichi
Minori Takaichi
KOKayo Osawa
Kayo Osawa
RNRyohei Nomoto
Ryohei Nomoto
NNNoriko Nakanishi
Noriko Nakanishi
MKMasanori Kameoka
Masanori Kameoka
TSToshiro Shirakawa
Toshiro Shirakawa
The increase in antibiotic resistance in non-typhoidal Salmonella enterica (NTS) has been confirmed in Indonesia by this study. We confirmed the virulence genes and antimicrobial susceptibilities of clinical NTS (n = 50) isolated from chicken meat in Indonesia and also detected antimicrobial resistance genes. Of 50 strains, 30 (60%) were non-susceptible to nalidixic acid (NA) and all of them had amino acid mutations in gyrA. Among 27 tetracycline (TC) non-susceptible strains, 22 (81.5%) had tetA and/or tetB. The non-susceptibility rates to ampicillin, gentamicin or kanamycin were lower than that of NA or TC, but the prevalence of blaTEM or aadA was high. Non-susceptible strains showed a high prevalence of virulence genes compared with the susceptible strains (tcfA, p = 0.014; cdtB, p < 0.001; sfbA, p < 0.001; fimA, p = 0.002). S. Schwarzengrund was the most prevalent serotype (23 strains, 46%) and the most frequently detected as multi-antimicrobial resistant. The prevalence of virulence genes in S. Schwarzengrund was significantly higher than other serotypes in hlyE (p = 0.011) and phoP/Q (p = 0.011) in addition to the genes above. In conclusion, NTS strains isolated from Indonesian chicken had a high resistance to antibiotics and many virulence factors. In particular, S. Schwarzengrund strains were most frequently detected as multi-antimicrobial resistant and had a high prevalence of virulence genes.

1 April 2012 in Biochemical and Biophysical Research Communications
Verified
Journal Article
Closed access
YFYuri Fujimoto
Yuri Fujimoto
Yoshimi NakagawaYoshimi Nakagawa
Yoshimi Nakagawa
ASAkiko Shingyouchi
Akiko Shingyouchi
NTNaoko Tokushige
Naoko Tokushige
NNNoriko Nakanishi
Noriko Nakanishi
HSHitoshi Shimano
Hitoshi Shimano

13 November 2017 in Cardiovascular Diabetology
Verified
Journal Article
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THToshiyuki Hayashi
Toshiyuki Hayashi
TFTomoyasu Fukui
Tomoyasu Fukui
NNNoriko Nakanishi
Noriko Nakanishi
SYSaki Yamamoto
Saki Yamamoto
MTMasako Tomoyasu
Masako Tomoyasu
THTsutomu Hirano
Tsutomu Hirano
Following publication of the original article [1], the authors identified a number of errors. In Result (P.3), Table 1 (P.4), Table 5 (P.9) and Supplementary Table 1, the correct unit for adiponectin was μg/mL. In Table 1 (P.4), the correct value for the post treatment body weight in dapagliflozin was 76.2±14.8. In Table 6 (P.10), the correct value for the pre treatment sd LDL/LDL-C in decreased LDL-C group was 0.38±0.10.

1 November 2019 in Journal of Infection and Public Health
Verified
Journal Article
Open access
NNNoriko Nakanishi
Noriko Nakanishi
TYTakeshi Yonezawa
Takeshi Yonezawa
STShinobu Tanaka
Shinobu Tanaka
YSYuki Shirouzu
Yuki Shirouzu
YNYuki Naito
Yuki Naito
RNRyohei Nomoto
Ryohei Nomoto
We conducted active surveillance to elucidate the distribution of Streptococcus pneumoniae serotypes causing invasive pneumococcal disease (IPD) and clarified the genetic relatedness among the isolates in Kobe City, Japan. Forty-five IPD-causing S. pneumoniae strains were analyzed from March 2016 to May 2018 through active surveillance in Kobe City, Hyogo, Japan. Serotypes were determined by multiplex serotyping PCR and the Quellung reaction with pneumococcal antisera. Fourteen Sp12F strains were subjected to whole-genome sequencing (WGS). Among 45 isolates, the most frequent serotypes were 12F (n=14, 31%), 24F (n=5, 11%), and 10A (n=4, 9%). Multilocus sequence typing (MLST) analysis of 14 isolates of Sp12F divided them into ST4846 (n=4) and ST6495 (n=10). WGS showed clonality of the 10 isolates of ST6495, with only 13 single nucleotide polymorphisms in the genomes. Meanwhile, ST4846 strains in Kobe differed from only the outbreak strains of Sp12F ST4846 in Tsuruoka, Japan, reported on 2018. Serotype monitoring showed Sp12F to be the predominant serotype in Kobe, and WGS revealed the clonal spread of Sp12F ST6495 in this city. Thus, the spread of Sp12F could become a serious public health problem in Japan, warranting thorough monitoring in future.

22 December 2022 in Microorganisms
Verified
Journal Article
Open access
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NNNoriko Nakanishi
Noriko Nakanishi
SKShoko Komatsu
Shoko Komatsu
STShinobu Tanaka
Shinobu Tanaka
KMKengo Mukai
Kengo Mukai
RNRyohei Nomoto
Ryohei Nomoto
Exposure to aerosols containing Legionella from artificially made water systems has been established as a primary cause of Legionnaires’ disease. In this study, we investigated an outbreak of L. pneumophila serogroup 1 sequence type 138 which occurred at a bath facility in 2022. The whole-genome sequencing of isolates revealed that the colonization of L. pneumophila at the bath facility had occurred before 2013, and the patients had been exposed to multiple genetic lineages of the strain. Our study demonstrates the importance of performing a careful comparative genetic analysis of clinical and environmental isolates from LD outbreaks in order to effectively investigate and prevent future LD outbreaks.

18 January 2024 in Microorganisms
Verified
Journal Article
Open access
PDF file
RNRyohei Nomoto
Ryohei Nomoto
KOKayo Osawa
Kayo Osawa
SKShohiro Kinoshita
Shohiro Kinoshita
KKKoichi Kitagawa
Koichi Kitagawa
NNNoriko Nakanishi
Noriko Nakanishi
TSToshiro Shirakawa
Toshiro Shirakawa
Antimicrobial agents are administered to humans and livestock, and bacterial antimicrobial resistance (AMR) and antimicrobial agents are released into the environment. In this study, to investigate the trend of AMR in humans, livestock, and the environment, we performed a metagenomic analysis of multidrug-resistant bacteria with CHROMagar ESBL in environmental river water samples, which were collected using syringe filter units from waters near hospitals, downtown areas, residential areas, and water treatment plants in Surabaya, Indonesia. Our results showed that Acinetobacter, Pseudomonas, Aeromonas, Enterobacter, Escherichia, and Klebsiella grew in CHROMagar ESBL; they were most frequently detected in water samples from rivers surrounding hospitals contaminated with various AMR genes (ARGs) in high levels. These results identified bacteria as ARG reservoirs and revealed that hospitals could be sources for various ARGs disseminated into the environment. In conclusion, this study details a novel metagenomic analysis of collected bacteria in environmental water samples using a syringe filter unit for an AMR epidemiological study based on the One Health approach.