METHODS: The mid-stream urine was collected from 96 patients diagnosed with dengue fever at Penang General Hospital (PGH) and 50 healthy volunteers. Urine samples were analyzed with proton nuclear magnetic resonance (1H NMR) spectroscopy, followed by chemometric multivariate analysis. NMR signals highlighted in the orthogonal partial least square-discriminant analysis (OPLS-DA) S-plots were selected and identified using Human Metabolome Database (HMDB) and Chenomx Profiler. A highly predictive model was constructed from urine profile of dengue infected patients versus healthy individuals with the total R2Y (cum) value 0.935, and the total Q2Y (cum) value 0.832.
RESULTS: Data showed that dengue infection is related to amino acid metabolism, tricarboxylic acid intermediates cycle and β-oxidation of fatty acids. Distinct variations in certain metabolites were recorded in infected patients including amino acids, various organic acids, betaine, valerylglycine, myo-inositol and glycine.
CONCLUSION: Metabolomics approach provides essential insight into host metabolic disturbances following dengue infection.
Materials and Methods: Samples were collected from the Tuberculosis Laboratory, Clinical Microbiology of Dr. Soetomo Hospital Surabaya Indonesia. DNA extraction used boiling extraction method and continued nucleic acid amplification using PCR techniques. Primer pairs used eccB5 SK.. The positivity of DNA specific revealed amplicon in 1592 bp. PCR product was sequenced by 1st Base (First BASE Laboratories Sdn Bhd, Selangor, Malaysia). The sequence analysis used Genetyx-Win version 10.0 (Genetyx Corporation, Tokyo, Japan).
Results: Total isolates of Mycobacterium spp. were 28 and those that showed positive MTBC were 24 isolates and 4 nontuberculosis mycobacteria (NTM) using immunochromatographic test (ICT). The amount of homology from MTBC using blast NCBI was 99%-100%. Two SNPs were found in position c.1277 which revealed replacement of amino acid in 426 of codon position.
Conclusion: The sequence of eccB5 gene of MTBC showed high significant homology, while proposed non-synoymous single nucleotide polymorphisms (nsSNP) may associated with clinical outcomes.
METHOD: Literature search was performed within the PubMed, ScienceDirect.com and Google Scholar.
RESULTS: The presence of proline at the C-terminal tripeptide of ACE inhibitor can competitively inhibit the ACE activity. The effects of other amino acids are less studied leading to difficulties in predicting potent peptide sequences. The broad specificity of the enzyme may be due to the dual active sites observed on the somatic ACE. The inhibitors may not necessarily competitively inhibit the enzyme which explains why some reported inhibitors do not have the common ACE inhibitor characteristics. Finally, the in vivo assay has to be carried out before the peptides as the antihypertensive agents can be claimed. The peptides must be absorbed into circulation without being degraded, which will affect their bioavailability and potency. Thus, peptides with strong in vitro IC50 values do not necessarily have the same effect in vivo and vice versa.
CONCLUSION: The relationship between peptide amino acid sequence and inhibitory activity, in vivo studies of the active peptides and bioavailability must be studied before the peptides as antihypertensive agents can be claimed.