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(1)H-NMR analysis of feces: new possibilities in the helminthes infections research.

Abstract Analysis of the stool samples is an essential part of routine diagnostics of the helminthes infections. However, the standard methods such Kato and Kato-Katz utilize only a fraction of the information available. Here we present a method based on the nuclear magnetic resonance spectroscopy (NMR) which could be auxiliary to the standard procedures by evaluating the complex metabolic profiles (or phenotypes) of the samples.
PMID
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Authors

Mayor MeshTerms
Keywords
Journal Title bmc infectious diseases
Publication Year Start




PMID- 28412936
OWN - NLM
STAT- In-Process
DA  - 20170417
LR  - 20170419
IS  - 1471-2334 (Electronic)
IS  - 1471-2334 (Linking)
VI  - 17
IP  - 1
DP  - 2017 Apr 17
TI  - 1H-NMR analysis of feces: new possibilities in the helminthes infections
      research.
PG  - 275
LID - 10.1186/s12879-017-2351-7 [doi]
AB  - BACKGROUND: Analysis of the stool samples is an essential part of routine
      diagnostics of the helminthes infections. However, the standard methods such Kato
      and Kato-Katz utilize only a fraction of the information available. Here we
      present a method based on the nuclear magnetic resonance spectroscopy (NMR) which
      could be auxiliary to the standard procedures by evaluating the complex metabolic
      profiles (or phenotypes) of the samples. METHOD: The samples were collected over 
      the period of June-July 2015, frozen at -20 degrees C at the site of collection
      and transferred within four hours for the permanent storage at -80 degrees C.
      Fecal metabolites were extracted by mixing aliquots of about 100 mg thawed stool 
      material with 0.5 mL phosphate buffer saline, followed by the homogenization and 
      centrifugations steps. All NMR data were recorded using a Bruker 600 MHz AVANCE
      II spectrometer equipped with a 5 mm triple resonance inverse cryoprobe and a
      z-gradient system. RESULTS: Here we report an optimized method for NMR based
      metabolic profiling/phenotyping of the stools samples. Overall, 62 metabolites
      were annotated in the pool sample using the 2D NMR spectra and the Bruker
      Biorefcode database. The compounds cover a wide range of the metabolome including
      amino acids and their derivatives, short chain fatty acids (SCFAs), carboxylic
      acids and their derivatives, amines, carbohydrates, purines, alcohols and others.
      An exploratory analysis of the metabolic profiles reveals no strong trends
      associated with the infection status of the patients. However, using the
      penalized regression as a variable selection method we succeeded in finding a
      subset of eleven variables which enables to discriminate the patients on basis of
      their infections status. CONCLUSIONS: A simple method for metabolic
      profiling/phenotyping of the stools samples is reported and tested on a pilot
      opisthorchiasis cohort. To our knowledge this is the first report of a NMR-based 
      feces analysis in the context of the helminthic infections.
FAU - Kostidis, Sarantos
AU  - Kostidis S
AD  - Center for Proteomics and Metabolomics, Leiden University Medical Centre, Leiden,
      The Netherlands.
FAU - Kokova, Daria
AU  - Kokova D
AD  - Department of Parasitology, Leiden University Medical Center, Leiden, The
      Netherlands.
AD  - Laboratory of clinical metabolomics, Tomsk State University, Tomsk, Russia.
FAU - Dementeva, Natalia
AU  - Dementeva N
AD  - Laboratory of clinical metabolomics, Tomsk State University, Tomsk, Russia.
FAU - Saltykova, Irina V
AU  - Saltykova IV
AD  - Laboratory of clinical metabolomics, Tomsk State University, Tomsk, Russia.
AD  - Siberian State Medical University, Central Research Laboratory, Tomsk, Russia.
FAU - Kim, Hye Kyong
AU  - Kim HK
AD  - Natural Products Laboratory, Institute of Biology, Leiden University, Leiden, The
      Netherlands.
FAU - Choi, Young Hae
AU  - Choi YH
AD  - Natural Products Laboratory, Institute of Biology, Leiden University, Leiden, The
      Netherlands.
FAU - Mayboroda, Oleg A
AU  - Mayboroda OA
AD  - Center for Proteomics and Metabolomics, Leiden University Medical Centre, Leiden,
      The Netherlands. [email protected]
AD  - Laboratory of clinical metabolomics, Tomsk State University, Tomsk, Russia.
      [email protected]
LA  - eng
PT  - Journal Article
DEP - 20170417
PL  - England
TA  - BMC Infect Dis
JT  - BMC infectious diseases
JID - 100968551
PMC - PMC5392908
EDAT- 2017/04/18 06:00
MHDA- 2017/04/18 06:00
CRDT- 2017/04/18 06:00
PHST- 2016/05/20 [received]
PHST- 2017/03/28 [accepted]
AID - 10.1186/s12879-017-2351-7 [doi]
AID - 10.1186/s12879-017-2351-7 [pii]
PST - epublish
SO  - BMC Infect Dis. 2017 Apr 17;17(1):275. doi: 10.1186/s12879-017-2351-7.

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