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Mohamad N, Ismet RI, Rofiee M, Bannur Z, Hennessy T, Selvaraj M, Ahmad A, Nor F, Abdul Rahman T, Md Isa K, Ismail A, Teh LK, Salleh MZ. Metabolomics and partial least square discriminant analysis to predict history of myocardial infarction of self-claimed healthy subjects: validity and feasibility for clinical practice. J Clin Bioinforma 2015; 5:3. [PMID: 25806102 PMCID: PMC4371619 DOI: 10.1186/s13336-015-0018-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2014] [Accepted: 02/27/2015] [Indexed: 02/07/2023] Open
Abstract
Background The dynamics of metabolomics in establishing a prediction model using partial least square discriminant analysis have enabled better disease diagnosis; with emphasis on early detection of diseases. We attempted to translate the metabolomics model to predict the health status of the Orang Asli community whom we have little information. The metabolite expressions of the healthy vs. diseased patients (cardiovascular) were compared. A metabotype model was developed and validated using partial least square discriminant analysis (PLSDA). Cardiovascular risks of the Orang Asli were predicted and confirmed by biochemistry profiles conducted concurrently. Results Fourteen (14) metabolites were determined as potential biomarkers for cardiovascular risks with receiver operating characteristic of more than 0.7. They include 15S-HETE (AUC = 0.997) and phosphorylcholine (AUC = 0.995). Seven Orang Asli were clustered with the patients’ group and may have ongoing cardiovascular risks and problems. This is supported by biochemistry tests results that showed abnormalities in cholesterol, triglyceride, HDL and LDL levels. Conclusions The disease prediction model based on metabolites is a useful diagnostic alternative as compared to the current single biomarker assays. The former is believed to be more cost effective since a single sample run is able to provide a more comprehensive disease profile, whilst the latter require different types of sampling tubes and blood volumes. Electronic supplementary material The online version of this article (doi:10.1186/s13336-015-0018-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nornazliya Mohamad
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia
| | - Rose Iszati Ismet
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia
| | - MohdSalleh Rofiee
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia
| | - Zakaria Bannur
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia
| | - Thomas Hennessy
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia ; Life Sciences & Diagnostics Group, Translational Research Institute, Brisbane, Australia
| | - Manikandan Selvaraj
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia
| | - Aminuddin Ahmad
- Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh, Selangor Malaysia
| | - FadzilahMohd Nor
- Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh, Selangor Malaysia
| | | | - Kamarudzaman Md Isa
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia
| | - AdzroolIdzwan Ismail
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia
| | - Lay Kek Teh
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia ; Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Selangor 42300 Malaysia
| | - Mohd Zaki Salleh
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Puncak Alam Malaysia, Selangor 42300 Malaysia ; Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Selangor 42300 Malaysia
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Abstract
OBJECTIVE To determine the seniority and career intentions of doctors in posts recognised for basic surgical training in the Northern Region of England and to relate it to the number of specialist registrar posts available. METHODS Postal questionnaire to and telephone interviews with 270 doctors. The main outcome measures were: demographic details, career stage, and intentions regarding subspecialties of choice. RESULTS Of the post-holders, 171 (63%) intended to pursue a surgical career and, of these, 69% (118/171) were graduates of British universities. Of these 171, 28% (48) were uncertain of their subspecialty of choice and 10% (17) intended to work abroad. The overall ratio for SHO:SpR posts was 1.6:1 for this region and 40% of all basic surgical trainees were in favour of a specialist training programme after PRHO. CONCLUSIONS Planning for surgical training and workforce needs to be supported by information about trainees' career plans and prospects.
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Affiliation(s)
- F Nor
- Department of Colorectal Surgery, Royal Victoria Infirmary, 158 Sackville Road, Newcastle upon Tyne NE6 5TD, UK
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