Displaying publications 1 - 20 of 167 in total

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  1. Fulltext Complex Chemical Data Classification and Discrimination Using Locality Preserving Partial Least Squares Discriminant Analysis
    Aminu M, Ahmad NA
    ACS Omega, 2020 Oct 20;5(41):26601-26610.
    PMID: 33110988 DOI: 10.1021/acsomega.0c03362
    Partial least squares discriminant analysis (PLS-DA) is a well-known technique for feature extraction and discriminant analysis in chemometrics. Despite its popularity, it has been observed that PLS-DA does not automatically lead to extraction of relevant features. Feature learning and extraction depends on how well the discriminant subspace is captured. In this paper, discriminant subspace learning of chemical data is discussed from the perspective of PLS-DA and a recent extension of PLS-DA, which is known as the locality preserving partial least squares discriminant analysis (LPPLS-DA). The objective is twofold: (a) to introduce the LPPLS-DA algorithm to the chemometrics community and (b) to demonstrate the superior discrimination capabilities of LPPLS-DA and how it can be a powerful alternative to PLS-DA. Four chemical data sets are used: three spectroscopic data sets and one that contains compositional data. Comparative performances are measured based on discrimination and classification of these data sets. To compare the classification performances, the data samples are projected onto the PLS-DA and LPPLS-DA subspaces, and classification of the projected samples into one of the different groups (classes) is done using the nearest-neighbor classifier. We also compare the two techniques in data visualization (discrimination) task. The ability of LPPLS-DA to group samples from the same class while at the same time maximizing the between-class separation is clearly shown in our results. In comparison with PLS-DA, separation of data in the projected LPPLS-DA subspace is more well defined.
    Matched MeSH terms: Least-Squares Analysis
  2. Fulltext The Influence of Neurocognitive Impairment, Depression, and Alcohol Use Disorders on Health-Related Quality of Life among Incarcerated, HIV-Infected, Opioid Dependent Malaysian Men: A Moderated Mediation Analysis
    Shrestha R, Weikum D, Copenhaver M, Altice FL
    AIDS Behav, 2017 Apr;21(4):1070-1081.
    PMID: 27544515 DOI: 10.1007/s10461-016-1526-3
    Prior research has widely recognized neurocognitive impairment (NCI), depression, and alcohol use disorders (AUDs) as important negative predictors of health-related quality of life (HRQoL) among people living with HIV (PLWH). No studies to date, however, have explored how these neuropsychological factors operate together and affect HRQoL. Incarcerated male PLWH (N = 301) meeting criteria for opioid dependence were recruited from Malaysia's largest prison. Standardized scales for NCI, depression, alcohol use disorders (AUDs) and HRQoL were used to conduct a moderated mediation model to explore the extent to which depression mediated the relationship between NCI, HRQoL, and AUDs using an ordinary least squares regression-based path analytic framework. Results showed that increasing levels of NCI (B = -0.1773, p 
    Matched MeSH terms: Least-Squares Analysis
  3. Fulltext A Moderated Mediation Model of HIV-Related Stigma, Depression, and Social Support on Health-Related Quality of Life among Incarcerated Malaysian Men with HIV and Opioid Dependence
    Shrestha R, Copenhaver M, Bazazi AR, Huedo-Medina TB, Krishnan A, Altice FL
    AIDS Behav, 2017 Apr;21(4):1059-1069.
    PMID: 28108877 DOI: 10.1007/s10461-017-1693-x
    Although it is well established that HIV-related stigma, depression, and lack of social support are negatively associated with health-related quality of life (HRQoL) among people living with HIV (PLH), no studies to date have examined how these psychosocial factors interact with each other and affect HRQoL among incarcerated PLH. We, therefore, incorporated a moderated mediation model (MMM) to explore whether depression mediates the effect of HIV-related stigma on HRQoL as a function of the underlying level of social support. Incarcerated HIV-infected men with opioid dependence (N = 301) were recruited from the HIV units in Kajang prison in Malaysia. Participants completed surveys assessing demographic characteristics, HIV-related stigma, depression, social support, and HRQoL. Results showed that the effect of HIV-related stigma on HRQoL was mediated via depression (a1:β = 0.1463, p 
    Matched MeSH terms: Least-Squares Analysis
  4. Mammographic breast glandularity in Malaysian women: data derived from radiography
    Jamal N, Ng KH, McLean D, Looi LM, Moosa F
    AJR Am J Roentgenol, 2004 Mar;182(3):713-7.
    PMID: 14975974
    This study was undertaken to estimate mammographic breast glandularity in Malaysian women from radiographic data.
    Matched MeSH terms: Least-Squares Analysis
  5. Fulltext Robust digit recognition with dynamic time warping and recursive least squares
    Al-Haddad, S.A.R., Samad, S.A., Hussain, A., Ishak, K.A., Noor, A.O.A.
    ASM Science Journal, 2008;2(1):75-81.
    MyJurnal
    Robustness is a key issue in speech recognition. A speech recognition algorithm for Malay digits from zero to nine and an algorithm for noise cancellation by using recursive least squares (RLS) is proposed in this article. This system consisted of speech processing inclusive of digit margin and recognition using zero crossing and energy calculations. Mel-frequency cepstral coefficient vectors were used to provide an estimate of the vocal tract filter. Meanwhile dynamic time warping was used to detect the nearest recorded voice with appropriate global constraint. The global constraint was used to set a valid search region because the variation of the speech rate of the speaker was considered to be limited in a reasonable range which meant that it could prune the unreasonable search space. The algorithm was tested on speech samples that were recorded as part of a Malay corpus. The results showed that the algorithm managed to recognize almost 80.5% of the Malay digits for all recorded words. The addition of a RLS noise canceller in the preprocessing stage increased the accuracy to 94.1%.
    Matched MeSH terms: Least-Squares Analysis
  6. Fulltext Ambient noise reduction using improved least mean square adaptive filtering
    Noor, A.O.A., Samad, S.A., Hussain, A.
    ASM Science Journal, 2010;4(2):133-141.
    MyJurnal
    In this paper, an improved method of reducing ambient noise in speech signals is introduced. The proposed noise canceller was developed using a computationally efficient (DFT) filter bank to decompose input signals into sub-bands. The filter bank was based on a prototype filter optimized for minimum output distortion. A variable step-size version of the (LMS) filter was used to reduce the noise in individual branches. The subband noise canceller was aimed to overcome problems associated with the use of the conventional least mean square (LMS) adaptive algorithm in noise cancellation setups. Mean square error convergence was used as a measure of performance under white and ambient interferences. Compared to conventional as well as recently developed techniques, fast initial convergence and better noise cancellation performances were obtained under actual speech and ambient noise.
    Matched MeSH terms: Least-Squares Analysis
  7. Fulltext Crystal structure of 1-benzyl-2-hy-droxy-5-oxopyrrolidin-3-yl acetate
    Caracelli I, Zukerman-Schpector J, Stefani HA, Ali B, Tiekink ER
    Acta Crystallogr E Crystallogr Commun, 2015 Aug 1;71(Pt 8):o582-3.
    PMID: 26396808 DOI: 10.1107/S2056989015013353
    In the title compound, C13H15NO4, the oxopyrrolidin-3-yl ring has an envelope conformation, with the C atom bearing the acetate group being the flap. The acetate and phenyl groups are inclined with respect to the central ring, forming dihedral angles of 50.20 (12) and 87.40 (9)°, respectively, with the least-squares plane through the ring. The dihedral angle between the acetate group and the phenyl ring is 63.22 (8)°, indicating a twisted conformation in the mol-ecule. In the crystal, supra-molecular chains along the b axis are formed by (hy-droxy)O-H⋯O(ring carbon-yl) hydrogen bonds. The chains are consolidated into the three-dimensional architecture by C-H⋯O inter-actions.
    Matched MeSH terms: Least-Squares Analysis
  8. Fulltext Crystal structure of 5-(1,3-di-thian-2-yl)-2H-1,3-benzodioxole
    Zukerman-Schpector J, Caracelli I, Stefani HA, Gozhina O, Tiekink ER
    Acta Crystallogr E Crystallogr Commun, 2015 Mar 1;71(Pt 3):o167-8.
    PMID: 25844230 DOI: 10.1107/S2056989015002455
    In the title compound, C11H12O2S2, two independent but virtually superimposable mol-ecules, A and B, comprise the asymmetric unit. In each mol-ecule, the 1,3-di-thiane ring has a chair conformation with the 1,4-disposed C atoms being above and below the plane through the remaining four atoms. The substituted benzene ring occupies an equatorial position in each case and forms dihedral angles of 85.62 (9) (mol-ecule A) and 85.69 (8)° (mol-ecule B) with the least-squares plane through the 1,3-di-thiane ring. The difference between the mol-ecules rests in the conformation of the five-membered 1,3-dioxole ring which is an envelope in mol-ecule A (the methyl-ene C atom is the flap) and almost planar in mol-ecule B (r.m.s. deviation = 0.046 Å). In the crystal, mol-ecules of A self-associate into supra-molecular zigzag chains (generated by glide symmetry along the c axis) via methyl-ene C-H⋯π inter-actions. Mol-ecules of B form similar chains. The chains pack with no specific directional inter-molecular inter-actions between them.
    Matched MeSH terms: Least-Squares Analysis
  9. Fulltext Crystal structure of 2-(3-bromo-phen-yl)-1,3-di-thiane
    Zukerman-Schpector J, Caracelli I, Stefani HA, Gozhina O, Tiekink ER
    Acta Crystallogr E Crystallogr Commun, 2015 Mar 1;71(Pt 3):o179-80.
    PMID: 25844236 DOI: 10.1107/S2056989015002832
    In the title compound, C10H11BrS2, the 1,3-di-thiane ring has a chair conformation with the 1,4-disposed C atoms being above and below the remaining four atoms. The bromo-benzene ring occupies an equatorial position and forms a dihedral angle of 86.38 (12)° with the least-squares plane through the 1,3-di-thiane ring. Thus, to a first approximation the mol-ecule has mirror symmetry with the mirror containing the bromo-benzene ring and the 1,4-disposed C atoms of the 1,3-di-thiane ring. In the crystal, mol-ecules associate via weak methyl-ene-bromo-benzene C-H⋯π and π-π [Cg⋯Cg = 3.7770 (14) Å for centrosymmetrically related bromo-benzene rings] inter-actions, forming supra-molecular layers parallel to [10-1]; these stack with no specific inter-molecular inter-actions between them.
    Matched MeSH terms: Least-Squares Analysis
  10. Screening of nanoemulsion components for asenapine maleate using validated RP-HPLC method
    Kumbhar SA, Kokare CR, Shrivastava B, Gorain B
    Ann Pharm Fr, 2020 May 06.
    PMID: 32387177 DOI: 10.1016/j.pharma.2020.04.005
    A novel, simple reversed-phase high-performance liquid chromatographic (RP-HPLC) analytical method was developed and validated for the quantitative determination of asenapine from various nanoemulsion components during pre-formulation screening. The developed method was validated according to ICH Q2 (R1) guidelines. The developed and validated method was precisely and accurately quantified asenapine in various oils, surfactants and co-surfactants. The separation of asenapine was carried out on Hypersil BDS C18, 250×4.6mm, 5μm particle size column using methanol: acetonitrile (90:10) as mobile phase with a flow rate of 1mL.min-1. Measurement at 270nm for the concentration range of 5 to 50μg.mL-1 of the analyte was found to be linear with the determination coefficient (r2) of 0.999 as calculated by the least square regression method. The validated method was sensitive with LOD of 10.0ng.mL-1 and LOQ of 30.0ng.mL-1. Further, the method was precise and accurate, where the intraday and interday precision values were ranged from 0.70-0.95 and 0.36-0.95, respectively with the corresponding accuracy were ranged from 98.80-100.63 and 98.36-100.63. This developed and validated RP-HPLC method for asenapine was applied in the quantitative determination and screening of various oils, surfactants, and co-surfactants during the development of the asenapine maleate nanoemulsion.
    Matched MeSH terms: Least-Squares Analysis
  11. Evaluation of production cross-sections for186Re theranostic radionuclide via charged-particle induced reactions on Tungsten
    Ali SKI, Khandaker MU, Kassim HA
    Appl Radiat Isot, 2018 May;135:239-250.
    PMID: 29448240 DOI: 10.1016/j.apradiso.2018.01.035
    186
    Re (T1/2= 89.24 h, [Formula: see text] 346.7 keV, [Formula: see text] ), an intense beta-emitter shows great potential to be used as an active material in therapeutic radiopharmaceuticals due to its suitable physico-chemical properties.186Re can be produced in several ways, however charged-particle induced reactions show to be promising towards no carrier added production. In this work, production cross-sections of186Re were evaluated following the light-charged particle induced reactions on tungsten. An effective evaluation technique such as Simultaneous Evaluation on KALMAN code combined with least squares concept was used to obtain the evaluated data together with covariances. Knowledge of the underlying uncertainties in evaluated nuclear data, i.e., covariances are useful to improve the accuracy of nuclear data.
    Matched MeSH terms: Least-Squares Analysis
  12. Numerical optimization studies of cardiovascular-rotary blood pump interaction
    Lim E, Dokos S, Salamonsen RF, Rosenfeldt FL, Ayre PJ, Lovell NH
    Artif Organs, 2012 May;36(5):E110-24.
    PMID: 22489799 DOI: 10.1111/j.1525-1594.2012.01449.x
    A heart-pump interaction model has been developed based on animal experimental measurements obtained with a rotary blood pump in situ. Five canine experiments were performed to investigate the interaction between the cardiovascular system and the implantable rotary blood pump over a wide range of operating conditions, including variations in cardiac contractility and heart rate, systemic vascular resistance (SVR), and total blood volume (V(total) ). It was observed in our experiments that SVR decreased with increasing mean pump speed under the healthy condition, but was relatively constant during the speed ramp study under reduced cardiac contractility conditions. Furthermore, we also found a significant increase in pulmonary vascular resistance with increasing mean pump speed and decreasing total blood volume, despite a relatively constant SVR. Least squares parameter estimation methods were utilized to fit a subset of model parameters in order to achieve better agreement with the experimental data and to evaluate the robustness and validity of the model under various operating conditions. The fitted model produced reasonable agreement with the experimental measurements, both in terms of mean values and steady-state waveforms. In addition, all the optimized parameters were within physiological limits.
    Matched MeSH terms: Least-Squares Analysis
  13. An Analysis of the World Health Organization Disability Assessment Schedule 2.0 Measurement Model Using Partial Least Squares-Structural Equation Modeling
    Tabet SM, Lambie GW, Jahani S, Rasoolimanesh SM
    Assessment, 2020 12;27(8):1731-1747.
    PMID: 30873844 DOI: 10.1177/1073191119834653
    The researchers examined the factor structure and model specifications of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) with confirmatory tetrad analysis (CTA) using partial least squares-structural equation modeling (PLS-SEM) with a sample of adult clients (N = 298) receiving individual therapy at a university-based counseling research center. The CTA and PLS-SEM results identified the formative nature of the WHODAS 2.0 subscale scores, supporting an alternative measurement model of the WHODAS 2.0 scores as a second-order formative-formative model.
    Matched MeSH terms: Least-Squares Analysis
  14. Fulltext Patients' perception of the information security management in health centers: the role of organizational and human factors
    Peikari HR, T R, Shah MH, Lo MC
    BMC Med Inform Decis Mak, 2018 Nov 15;18(1):102.
    PMID: 30442138 DOI: 10.1186/s12911-018-0681-z
    BACKGROUND: Researchers paid little attention to understanding the association of organizational and human factors with patients' perceived security in the context of health organizations. This study aims to address numerous gaps in this context. Patients' perceptions about employees' training on security issues, monitoring on security issues, ethics, physical & technical protection and trust in hospitals were identified as organizational and human factors.

    METHODS: After the development of 12 hypotheses, a quantitative, cross-sectional, self-administered survey method was applied to collect data in 9 hospitals in Iran. After the collection of 382 usable questionnaires, the partial least square structural modeling was applied to examine the hypotheses and it was found that 11 hypotheses were empirically supported.

    RESULTS: The results suggest that patients' trust in hospitals can significantly predict their perceived security but no significant associations were found between patients' physical protection mechanisms in the hospital and their perceived information security in a hospital. We also found that patients' perceptions about the physical protection mechanism of a hospital can significantly predict their trust in hospitals which is a novel finding by this research.

    CONCLUSIONS: The findings imply that hospitals should formulate policies to improve patients' perception about such factors, which ultimately lead to their perceived security.

    Matched MeSH terms: Least-Squares Analysis
  15. Fulltext Development, validation and translation of cardiopulmonary resuscitation and automated external defibrillator training and placement bilingual questionnaire
    Chew KS, Liaw SY, Ahmad Zahedi AZ, Wong SSL, Singmamae N, Kaushal DN, et al.
    BMC Res Notes, 2019 Oct 21;12(1):670.
    PMID: 31639035 DOI: 10.1186/s13104-019-4698-x
    OBJECTIVES: This paper describes the development and translation of a questionnaire purported to measure (1) the perception of the placement strategy of automated external defibrillator, (2) the perception on the importance of bystander cardiopulmonary resuscitation and automated external defibrillator (3) the perception on the confidence and willingness to apply these two lifesaving interventions as well as (4) the fears and concerns in applying these two interventions. For construct validation, exploratory factor analysis was performed using principal axis factoring and promax oblique rotation and confirmatory factor analysis performed using partial least square.

    RESULTS: Five factors with eigenvalue > 1 were identified. Pattern matrix analysis showed that all items were loaded into the factors with factor loading > 0.4. One item was subsequently removed as Cronbach's alpha > 0.9 which indicates redundancy. Confirmatory factor analysis demonstrated acceptable factor loadings except for one item which was subsequently removed. Internal consistency and discriminant validity was deemed acceptable with no significant cross-loading.

    Matched MeSH terms: Least-Squares Analysis
  16. Fulltext Identification of Antidiabetic Metabolites from Paederia foetida L. Twigs by Gas Chromatography-Mass Spectrometry-Based Metabolomics and Molecular Docking Study
    Tan DC, Kassim NK, Ismail IS, Hamid M, Ahamad Bustamam MS
    Biomed Res Int, 2019;2019:7603125.
    PMID: 31275982 DOI: 10.1155/2019/7603125
    Paederia foetida L. (Rubiaceae) is a climber which is widely distributed in Asian countries including Malaysia. The plant is traditionally used to treat various diseases including diabetes. This study is to evaluate the enzymatic inhibition activity of Paederia foetida twigs extracts and to identify the metabolites responsible for the bioactivity by gas chromatography-mass spectrometry (GC-MS) metabolomics profiling. Three different twig extracts, namely, hexane (PFH), chloroform (PFC), and methanol (PFM), were submerged for their α-amylase and α-glucosidase inhibition potential in 5 replicates for each. Results obtained from the loading column scatter plot of orthogonal partial least square (OPLS) model revealed the presence of 12 bioactive compounds, namely, dl-α-tocopherol, n-hexadecanoic acid, 2-hexyl-1-decanol, stigmastanol, 2-nonadecanone, cholest-8(14)-en-3-ol, 4,4-dimethyl-, (3β,5α)-, stigmast-4-en-3-one, stigmasterol, 1-ethyl-1-tetradecyloxy-1-silacyclohexane, ɣ-sitosterol, stigmast-7-en-3-ol, (3β,5α,24S)-, and α-monostearin. In silico molecular docking was carried out using the crystal structure α-amylase (PDB ID: 4W93) and α-glucosidase (PDB ID: 3WY1). α-Amylase-n-hexadecanoic acid exhibited the lowest binding energy of -2.28 kcal/mol with two hydrogen bonds residue, namely, LYS178 and TYR174, along with hydrophobic interactions involving PRO140, TRP134, SER132, ASP135, and LYS172. The binding interactions of α-glucosidase-n-hexadecanoic acid complex ligand also showed the lowest binding energy among 5 major compounds with the energy value of -4.04 kcal/mol. The complex consists of one hydrogen bond interacting residue, ARG437, and hydrophobic interactions with ALA444, ASP141, GLN438, GLU432, GLY374, LEU373, LEU433, LYS352, PRO347, THR445, HIS348, and PRO351. The study provides informative data on the potential antidiabetic inhibitors identified in Paederia foetida twigs, indicating the plant has the therapeutic effect properties to manage diabetes.
    Matched MeSH terms: Least-Squares Analysis
  17. Multivariate analysis of PRISMA optimized TLC image for predicting antioxidant activity and identification of contributing compounds from Pereskia bleo
    Sharif KM, Rahman MM, Azmir J, Khatib A, Sabina E, Shamsudin SH, et al.
    Biomed Chromatogr, 2015 Dec;29(12):1826-33.
    PMID: 26033701 DOI: 10.1002/bmc.3503
    Multivariate analysis of thin-layer chromatography (TLC) images was modeled to predict antioxidant activity of Pereskia bleo leaves and to identify the contributing compounds of the activity. TLC was developed in optimized mobile phase using the 'PRISMA' optimization method and the image was then converted to wavelet signals and imported for multivariate analysis. An orthogonal partial least square (OPLS) model was developed consisting of a wavelet-converted TLC image and 2,2-diphynyl-picrylhydrazyl free radical scavenging activity of 24 different preparations of P. bleo as the x- and y-variables, respectively. The quality of the constructed OPLS model (1 + 1 + 0) with one predictive and one orthogonal component was evaluated by internal and external validity tests. The validated model was then used to identify the contributing spot from the TLC plate that was then analyzed by GC-MS after trimethylsilyl derivatization. Glycerol and amine compounds were mainly found to contribute to the antioxidant activity of the sample. An alternative method to predict the antioxidant activity of a new sample of P. bleo leaves has been developed.
    Matched MeSH terms: Least-Squares Analysis
  18. Fulltext Investigation of α-Glucosidase Inhibitory Metabolites from Tetracera scandens Leaves by GC-MS Metabolite Profiling and Docking Studies
    Nokhala A, Siddiqui MJ, Ahmed QU, Ahamad Bustamam MS, Zakaria AZA
    Biomolecules, 2020 02 12;10(2).
    PMID: 32059529 DOI: 10.3390/biom10020287
    Stone leaf (Tetracera scandens) is a Southeast Asian medicinal plant that has been traditionally used for the management of diabetes mellitus. The underlying mechanisms of the antidiabetic activity have not been fully explored yet. Hence, this study aimed to evaluate the α-glucosidase inhibitory potential of the hydromethanolic extracts of T. scandens leaves and to characterize the metabolites responsible for such activity through gas chromatography-mass spectrometry (GC-MS) metabolomics. Crude hydromethanolic extracts of different strengths were prepared and in vitro assayed for α-glucosidase inhibition. GC-MS analysis was further carried out and the mass spectral data were correlated to the corresponding α-glucosidase inhibitory IC50 values via an orthogonal partial least squares (OPLS) model. The 100%, 80%, 60% and 40% methanol extracts displayed potent α-glucosidase inhibitory potentials. Moreover, the established model identified 16 metabolites to be responsible for the α-glucosidase inhibitory activity of T. scandens. The putative α-glucosidase inhibitory metabolites showed moderate to high affinities (binding energies of -5.9 to -9.8 kcal/mol) upon docking into the active site of Saccharomyces cerevisiae isomaltase. To sum up, an OPLS model was developed as a rapid method to characterize the α-glucosidase inhibitory metabolites existing in the hydromethanolic extracts of T. scandens leaves based on GC-MS metabolite profiling.
    Matched MeSH terms: Least-Squares Analysis
  19. Fulltext Test for the presence of autocorrelation in the modified Gompertz model used in fitting of Burkholderia sp. strain Neni-11 growth on acrylamide
    Mohd. Yunus Shukor
    Bioremediation Science and Technology Research, 2016;4(2):25-27.
    MyJurnal
    The growth of microorganism on substrates, whether toxic or not usually exhibits sigmoidal
    pattern. This sigmoidal growth pattern can be modelled using primary models such as Logistic,
    modified Gompertz, Richards, Schnute, Baranyi-Roberts, Von Bertalanffy, Buchanan threephase
    and Huang. Previously, the modified Gompertz model was chosen to model the growth of
    Burkholderia sp. strain Neni-11 on acrylamide, which shows a sigmoidal curve. The modified
    Gompertz model relies on the ordinary least squares method, which in turn relies heavily on
    several important assumptions, which include that the data does not show autocorrelation. In this
    work we perform statistical diagnosis test to test for the presence of autocorrelation using the
    Durbin-Watson test and found that the model was adequate and robust as no autocorrelation of
    the data was found.
    Matched MeSH terms: Least-Squares Analysis
  20. The effects of high-fat diet and metformin on urinary metabolites in diabetes and prediabetes rat models
    Lee YF, Sim XY, Teh YH, Ismail MN, Greimel P, Murugaiyah V, et al.
    Biotechnol Appl Biochem, 2021 Oct;68(5):1014-1026.
    PMID: 32931602 DOI: 10.1002/bab.2021
    High-fat diet (HFD) interferes with the dietary plan of patients with type 2 diabetes mellitus (T2DM). However, many diabetes patients consume food with higher fat content for a better taste bud experience. In this study, we examined the effect of HFD on rats at the early onset of diabetes and prediabetes by supplementing their feed with palm olein oil to provide a fat content representing 39% of total calorie intake. Urinary profile generated from liquid chromatography-mass spectrometry analysis was used to construct the orthogonal partial least squares discriminant analysis (OPLS-DA) score plots. The data provide insights into the physiological state of an organism. Healthy rats fed with normal chow (NC) and HFD cannot be distinguished by their urinary metabolite profiles, whereas diabetic and prediabetic rats showed a clear separation in OPLS-DA profile between the two diets, indicating a change in their physiological state. Metformin treatment altered the metabolomics profiles of diabetic rats and lowered their blood sugar levels. For prediabetic rats, metformin treatment on both NC- and HFD-fed rats not only reduced their blood sugar levels to normal but also altered the urinary metabolite profile to be more like healthy rats. The use of metformin is therefore beneficial at the prediabetes stage.
    Matched MeSH terms: Least-Squares Analysis
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