Displaying publications 41 - 60 of 79 in total

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  1. Arshad MK, Bin Mohamad Fathil MF, Gopinath SC, Ruslinda AR, Md Nor MN, Lam HY, et al.
    Curr Med Chem, 2016;23(37):4270-4284.
    PMID: 27719655
    Cardiovascular disease (CVD) is a major threat to global health, estimated to be the cause 30 % (17.3 million in 2008) of deaths every year, and the number of deaths caused by CVD is expected to increase further, reaching 23.3 million by 2030. Hence, there is a growing demand for simpler sample extraction, rapid screening results, and intervention of the subsequent analysis in emergency units. In this paper, we reviewed CVD biomarkers in blood- and saliva-based specimens. The history of cardiac biomarkers indicates that in the beginning, cardiac troponin I (cTnI) was a widely accepted 'gold standard' marker due to its high specificity and selectivity. Considering the advantages of salivary-based cardiac biomarkers, we examined correlations between non-invasive (salivary) and invasive (blood) diagnoses, and it was found that C-reactive protein (CRP) provides a better correlation. Despite the low abundance of salivary CRP, several reports displayed the detection limit down to pg/ml using existing technologies. Thus, salivary CRP has the potential to be used for future forefront diagnostics for the early assessment of cardiac risks.
    Matched MeSH terms: Biomarkers/analysis*
  2. Lin HR, Heish CW, Liu CH, Muduli S, Li HF, Higuchi A, et al.
    Sci Rep, 2017 01 10;7:40069.
    PMID: 28071738 DOI: 10.1038/srep40069
    Human adipose-derived stem cells (hADSCs) are easily isolated from fat tissue without ethical concerns, but differ in purity, pluripotency, differentiation ability, and stem cell marker expression, depending on the isolation method. We isolated hADSCs from a primary fat tissue solution using: (1) conventional culture, (2) a membrane filtration method, (3) a membrane migration method where the primary cell solution was permeated through membranes, adhered hADSCs were cultured, and hADSCs migrated out from the membranes. Expression of mesenchymal stem cell markers and pluripotency genes, and osteogenic differentiation were compared for hADSCs isolated by different methods using nylon mesh filter membranes with pore sizes ranging from 11 to 80 μm. hADSCs isolated by the membrane migration method had the highest MSC surface marker expression and efficient differentiation into osteoblasts. Osteogenic differentiation ability of hADSCs and MSC surface marker expression were correlated, but osteogenic differentiation ability and pluripotent gene expression were not.
    Matched MeSH terms: Biomarkers/analysis
  3. Orimaye SO, Wong JS, Golden KJ, Wong CP, Soyiri IN
    BMC Bioinformatics, 2017 Jan 14;18(1):34.
    PMID: 28088191 DOI: 10.1186/s12859-016-1456-0
    BACKGROUND: The manual diagnosis of neurodegenerative disorders such as Alzheimer's disease (AD) and related Dementias has been a challenge. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations. The use of several Machine Learning algorithms to build automated diagnostic models using low-level linguistic features resulting from verbal utterances could aid diagnosis of patients with probable AD from a large population. For this purpose, we developed different Machine Learning models on the DementiaBank language transcript clinical dataset, consisting of 99 patients with probable AD and 99 healthy controls.

    RESULTS: Our models learned several syntactic, lexical, and n-gram linguistic biomarkers to distinguish the probable AD group from the healthy group. In contrast to the healthy group, we found that the probable AD patients had significantly less usage of syntactic components and significantly higher usage of lexical components in their language. Also, we observed a significant difference in the use of n-grams as the healthy group were able to identify and make sense of more objects in their n-grams than the probable AD group. As such, our best diagnostic model significantly distinguished the probable AD group from the healthy elderly group with a better Area Under the Receiving Operating Characteristics Curve (AUC) using the Support Vector Machines (SVM).

    CONCLUSIONS: Experimental and statistical evaluations suggest that using ML algorithms for learning linguistic biomarkers from the verbal utterances of elderly individuals could help the clinical diagnosis of probable AD. We emphasise that the best ML model for predicting the disease group combines significant syntactic, lexical and top n-gram features. However, there is a need to train the diagnostic models on larger datasets, which could lead to a better AUC and clinical diagnosis of probable AD.

    Matched MeSH terms: Biomarkers/analysis
  4. Vedam VKV, Boaz K, Natarajan S, Ganapathy S
    J Clin Lab Anal, 2017 May;31(3).
    PMID: 27637993 DOI: 10.1002/jcla.22048
    BACKGROUND: The aim of this study was to evaluate salivary amylase in patients with primary oral cancer undergoing radiotherapy as the main modality of treatment.

    MATERIALS/METHODS: The study was conducted on ten histologically proven cases of oral cancer undergoing radiotherapy. Stimulated whole saliva was collected at three stages of radiotherapy-0, 3, and 6 weeks. Salivary amylase was estimated using Henry-Chiamori method and comparison was made with appropriate age- and gender-matched controls.

    RESULTS: Salivary amylase levels showed significant decrease in healthy subjects when compared to oral cancer patients (P < 0.001). The latter group also showed changing trend with initial decrease from 0 to 3 weeks followed by increase from 3 to 6 weeks following radiotherapy (P < 0.0528).

    CONCLUSIONS: The trend in changes in the levels of salivary amylase could be used as a surrogate marker of salivary gland function in patients with oral cancer undergoing radiotherapy as primary treatment.

    Matched MeSH terms: Biomarkers/analysis*
  5. Lim WY, Goh BT, Khor SM
    PMID: 28683395 DOI: 10.1016/j.jchromb.2017.06.040
    Clinicians, working in the health-care diagnostic systems of developing countries, currently face the challenges of rising costs, increased number of patient visits, and limited resources. A significant trend is using low-cost substrates to develop microfluidic devices for diagnostic purposes. Various fabrication techniques, materials, and detection methods have been explored to develop these devices. Microfluidic paper-based analytical devices (μPADs) have gained attention for sensing multiplex analytes, confirming diagnostic test results, rapid sample analysis, and reducing the volume of samples and analytical reagents. μPADs, which can provide accurate and reliable direct measurement without sample pretreatment, can reduce patient medical burden and yield rapid test results, aiding physicians in choosing appropriate treatment. The objectives of this review are to provide an overview of the strategies used for developing paper-based sensors with enhanced analytical performances and to discuss the current challenges, limitations, advantages, disadvantages, and future prospects of paper-based microfluidic platforms in clinical diagnostics. μPADs, with validated and justified analytical performances, can potentially improve the quality of life by providing inexpensive, rapid, portable, biodegradable, and reliable diagnostics.
    Matched MeSH terms: Biomarkers/analysis*
  6. Enche Ady CNA, Lim SM, Teh LK, Salleh MZ, Chin AV, Tan MP, et al.
    J Neurosci Res, 2017 Oct;95(10):2005-2024.
    PMID: 28301062 DOI: 10.1002/jnr.24048
    The rapid increase in the older population has made age-related diseases like Alzheimer's disease (AD) a global concern. Given that there is still no cure for this neurodegenerative disease, the drastic growth in the number of susceptible individuals represents a major emerging threat to public health. The poor understanding of the mechanisms underlying AD is deemed the greatest stumbling block against progress in definitive diagnosis and management of this disease. There is a dire need for biomarkers that can facilitate early diagnosis, classification, prognosis, and treatment response. Efforts have been directed toward discovery of reliable and distinctive AD biomarkers but with very little success. With the recent emergence of high-throughput technology that is able to collect and catalogue vast datasets of small metabolites, metabolomics offers hope for a better understanding of AD and subsequent identification of biomarkers. This review article highlights the potential of using multiple metabolomics platforms as useful means in uncovering AD biomarkers from body fluids. © 2017 Wiley Periodicals, Inc.
    Matched MeSH terms: Biomarkers/analysis*
  7. Kechik KA, Siar CH
    Ann Diagn Pathol, 2018 Feb;32:17-22.
    PMID: 29414392 DOI: 10.1016/j.anndiagpath.2017.08.002
    BACKGROUND AND AIMS: The odontogenic keratocyst (OKC) remains the most challenging jaw cyst to treat because of its locally-aggressive behaviour and high recurrence potential. Emerging evidence suggests that osteopontin, its receptors CD44v6 and integrin αv, and podoplanin, have a role in the local invasiveness of this cyst. However the spatial distribution characteristics of these pro-invasive markers in the lining epithelium of OKC, and their association with the clinicopathologic parameters of OKC are largely unexplored. This study sought to address these issues in comparison with dentigerous cysts (DCs) and radicular cysts (RCs) and to evaluate their biological relevance.

    METHODS: A sample consisting of 20 OKC cases, 10 DCs and 10 RCs was subjected to immunohistochemical staining for osteopontin, CD44v6 and integrin αv, and podoplanin, and semiquantitative analysis was performed.

    RESULTS: All factors (except integrin αv) were detected heterogeneously in the constitutive layers of the lining epithelium in all three cyst types. Key observations were significant upregulation of CD44v6 and podoplanin in OKC compared to DCs and RCs, suggesting that these protein molecules may play crucial roles in promoting local invasiveness in OKC (P<0.05). Osteopontin underexpression and distribution patterns were indistinctive among all three cysts indicating its limited role as pro-invasive factor. Clinical parameters showed no significant correlations with all protein factors investigated.

    CONCLUSIONS: Present findings suggest that an osteopontinlow CD44v6high and podoplaninhigh immunoprofile most probably represent epithelial signatures of OKC and are markers of local invasiveness in this cyst.

    Matched MeSH terms: Biomarkers/analysis*
  8. Darwish NT, Sekaran SD, Alias Y, Khor SM
    J Pharm Biomed Anal, 2018 Feb 05;149:591-602.
    PMID: 29197806 DOI: 10.1016/j.jpba.2017.11.064
    The sharp increase in incidence of dengue infection has necessitated the development of methods for the rapid diagnosis of this deadly disease. Here we report the design and development of a reliable, sensitive, and specific optical immunosensor for the detection of the dengue nonstructural protein 1 (NS1) biomarker in clinical samples obtained during early stages of infection. The present optical NS1 immunosensor comprises a biosensing surface consisting of specific monoclonal NS1 antibody for immunofluorescence-based NS1 antigen determination using fluorescein isothiocyanate (FITC) conjugated to IgG antibody. The linear range of the optical immunosensor was from 15-500ngmL-1, with coefficient of determination (R2) of 0.92, high reproducibility (the relative standard deviation obtained was 2%), good stability for 21days at 4°C, and low detection limit (LOD) at 15ngmL-1. Furthermore, the optical immunosensor was capable of detecting NS1 analytes in plasma specimens from patients infected with the dengue virus, with low cross-reaction with plasma specimens containing the Japanese encephalitis virus (JEV) and Zika virus. No studies have been performed on the reproducibility and cross-reactivity regarding NS1 specificity, which is thus a limitation for optical NS1 immunosensors. In contrast, the present study addressed these limitations carefully where these two important experiments were conducted to showcase the robustness of our newly developed optical-based fluorescence immunosensor, which can be practically used for direct NS1 determination in any untreated clinical sample.
    Matched MeSH terms: Biomarkers/analysis
  9. Teoh SL, Lai NM, Vanichkulpitak P, Vuksan V, Ho H, Chaiyakunapruk N
    Nutr Rev, 2018 04 01;76(4):219-242.
    PMID: 29452425 DOI: 10.1093/nutrit/nux071
    Context: Chia seed is a popular dietary supplement, taken mainly for its high content of alpha-linolenic acid, vegetable protein, and dietary fiber, yet information about its clinical effects is lacking.

    Objective: This review aims to summarize the clinical evidence regarding the use of chia seed for a wide variety of health conditions.

    Data Sources: A number of databases, including PubMed and Embase, were searched systematically.

    Study Selection: Randomized controlled trials that assessed the clinical effects of chia seed consumption in human participants were included. The quality of trials was assessed using the Cochrane Risk of Bias Tool.

    Data Extraction: Data on study design, blinding status, characteristics of participants, chia seed intervention, comparator, clinical assessment, duration of intake, interval of assessment, and study funding status were extracted. Meta-analysis was performed.

    Results: Twelve trials were included. Participants included healthy persons, athletes, diabetic patients, and individuals with metabolic syndrome. Pooling of results showed no significant differences except for the following findings of subgroup analysis at higher doses of chia seed: (1) lower postprandial blood glucose level (mean difference [MD] of -33.95 incremental area under the curve [iAUC] [mmol/L × 2 h] [95%CI, -61.85, -6.05] and -51.60 iAUC [mmol/L × 2 h] [95%CI, -79.64, -23.56] at medium doses and high doses, respectively); (2) lower high-density lipoprotein in serum (MD of -0.10 mmol/L [95%CI, -0.20, -0.01]); and (3) lower diastolic blood pressure (MD of -7.14 mmHg [95%CI, -11.08, -3.19]). The quality of all evidence assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was low or very low. All trials employed only surrogate markers as outcomes.

    Conclusions: Future trials with improved methodological quality, well-described clinical events, and validated surrogate markers as outcomes are needed to support the potential health benefits of chia seed consumption.

    Systematic Review Registration: PROSPERO registration no. CRD42015029990.

    Matched MeSH terms: Biomarkers/analysis
  10. Arshad MKM, Adzhri R, Fathil MFM, Gopinath SCB, N M NM
    J Nanosci Nanotechnol, 2018 Aug 01;18(8):5283-5291.
    PMID: 29458578 DOI: 10.1166/jnn.2018.15419
    The development of electrical biosensor towards device miniaturization in order to achieve better sensitivity with enhanced electrical signal has certain limitations especially complexity in fabrication process and costs. In this paper, an alternative technique with minor modification in the device structure is presented for signal amplification by implementing ambipolar conduction in the biosensor itself. We demonstrated the field-effect transistor (FET)-based biosensor coupled back-gate for attaining a higher sensitivity with the detection of lower target abundance. To utilize the coupled back-gate as a pre-amplifier, silicon-on-insulator wafer with thicknesses of top-silicon and buried oxide (BOX) layers of 70 nm and 145 nm, respectively were desired. Titanium dioxide (TiO2) nanomaterial was deposited using sol-gel method on the channel which acts as a transducer. Surface functionalization on TiO2 thin film allowed an effective immobilization of anti-cardiac troponin I antibody to interact cardiac troponin I (cTnI). Binding events at each step was validated by X-ray photoelectron spectroscopy (XPS) analysis. Further, electrical characterization (Id-Vd) confirms the potentiality of FET-based biosensor to detect cTnI (represents acute myocardial infarction disease) with the concentration ranges from 10 μg/ml down to 1 fg/ml. The sensitivity of 459.2 nA (g/ml)-1 and lower detection limit of 1 fg/ml were achieved at Vbg = -5 V and Vd = 5 V. The designed device demonstrates its ability to detect lower level of cTnI with pre-amplified electrical signal by back-gate biasing.
    Matched MeSH terms: Biomarkers/analysis
  11. Samanta L, Agarwal A, Swain N, Sharma R, Gopalan B, Esteves SC, et al.
    J Urol, 2018 08;200(2):414-422.
    PMID: 29530785 DOI: 10.1016/j.juro.2018.03.009
    PURPOSE: Varicocele may disrupt testicular microcirculation and induce hypoxia-ischemia related degenerative changes in testicular cells and spermatozoa. Superoxide production at low oxygen concentration exacerbates oxidative stress in men with varicocele. Therefore, the current study was designed to study the role of mitochondrial redox regulation and its possible involvement in sperm dysfunction in varicocele associated infertility.

    MATERIALS AND METHODS: We identified differentially expressed mitochondrial proteins in 50 infertile men with varicocele and in 10 fertile controls by secondary liquid chromatography-tandem mass spectroscopy data driven in silico analysis. Identified proteins were validated by Western blot and immunofluorescence. Seminal oxidation-reduction potential was measured.

    RESULTS: We identified 22 differentially expressed proteins related to mitochondrial structure (LETM1, EFHC, MIC60, PGAM5, ISOC2 and import TOM22) and function (NDFSU1, UQCRC2 and COX5B, and the core enzymes of carbohydrate and lipid metabolism). Cluster analysis and 3-dimensional principal component analysis revealed a significant difference between the groups. All proteins studied were under expressed in infertile men with varicocele. Liquid chromatography-tandem mass spectroscopy data were corroborated by Western blot and immunofluorescence. Impaired mitochondrial function was associated with decreased expression of the proteins (ATPase1A4, HSPA2, SPA17 and APOA1) responsible for proper sperm function, concomitant with elevated seminal oxidation-reduction potential in the semen of infertile patients with varicocele.

    CONCLUSIONS: Impaired mitochondrial structure and function in varicocele may lead to oxidative stress, reduced ATP synthesis and sperm dysfunction. Mitochondrial differentially expressed proteins should be explored for the development of biomarkers as a predictor of infertility in patients with varicocele. Antioxidant therapy targeting sperm mitochondria may help improve the fertility status of these patients.

    Matched MeSH terms: Biomarkers/analysis
  12. Tourkmani AM, Alharbi TJ, Bin Rsheed AM, AlRasheed AN, AlBattal SM, Abdelhay O, et al.
    Diabetes Metab Syndr, 2018 08 02;13(1):161-165.
    PMID: 30641690 DOI: 10.1016/j.dsx.2018.07.012
    AIMS: To examine the impact of Ramadan Focused Education Program (RFEP) on medications adjustment in type 2 diabetes patients in Ramadan.

    METHODS: This is a controlled, intervention based study. It was run on three phases: before, during, and after Ramadan on 262 type 2 diabetes patients. The intervention group (n = 140) received RFEP on medications doses & timing adjustment before and after Ramadan, while the control group (n = 122) received standard care.

    RESULTS: The dose of insulin glargine was reduced from 42.51 ± 22.16 at the baseline to 40.11 ± 18.51-units during Ramadan (p = 0.002) in the intervention group while it remained the same in the control group before Ramadan and during Ramadan (38.51 ± 18.63 and 38.14 ± 18.46, P = 0.428, respectively). The hypoglycemia score was 14.2 ± (8.5) pre-Ramadan in the intervention and reduced to 6.36 ± 6.17 during Ramadan (p 

    Matched MeSH terms: Biomarkers/analysis
  13. Khoo LW, Audrey Kow SF, Maulidiani M, Lee MT, Tan CP, Shaari K, et al.
    J Pharm Biomed Anal, 2018 Sep 05;158:438-450.
    PMID: 29957507 DOI: 10.1016/j.jpba.2018.06.038
    The present study sought to identify the key biomarkers and pathways involved in the induction of allergic sensitization to ovalbumin and to elucidate the potential anti-anaphylaxis property of Clinacanthus nutans (Burm. f.) Lindau water leaf extract, a Southeast Asia herb in an in vivo ovalbumin-induced active systemic anaphylaxis model evaluated by 1H-NMR metabolomics. The results revealed that carbohydrate metabolism (glucose, myo-inositol, galactarate) and lipid metabolism (glycerol, choline, sn-glycero-3-phosphocholine) are the key requisites for the induction of anaphylaxis reaction. Sensitized rats treated with 2000 mg/kg bw C. nutans extract before ovalbumin challenge showed a positive correlation with the normal group and was negatively related to the induced group. Further 1H-NMR analysis in complement with Kyoto Encyclopedia of Genes and Genomes (KEGG) reveals the protective effect of C. nutans extract against ovalbumin-induced anaphylaxis through the down-regulation of lipid metabolism (choline, sn-glycero-3-phosphocholine), carbohydrate and signal transduction system (glucose, myo-inositol, galactarate) and up-regulation of citrate cycle intermediates (citrate, 2-oxoglutarate, succinate), propanoate metabolism (1,2-propanediol), amino acid metabolism (betaine, N,N-dimethylglycine, methylguanidine, valine) and nucleotide metabolism (malonate, allantoin). In summary, this study reports for the first time, C. nutans water extract is a potential anti-anaphylactic agent and 1H-NMR metabolomics is a great alternative analytical tool to explicate the mechanism of action of anaphylaxis.
    Matched MeSH terms: Biomarkers/analysis
  14. Kai-Cheen A, Lay-Harn G
    Biotechnol Appl Biochem, 2018 Nov;65(6):876-882.
    PMID: 30132993 DOI: 10.1002/bab.1687
    Differentially expressed aqueous soluble proteins between Mycobacterium tuberculosis H37Ra and H37Rv were identified. The protein extracts were separated by two-dimensional gel electrophoresis followed by tandem mass spectrometric analysis. Twelve proteins were detected to be differentially expressed significantly between virulent strain H37Rv and attenuated strain H37Ra. The differentially expression of these proteins was validated by a recently isolated clinical virulent strains of M. tuberculosis, TB138. Out of the 12 proteins identified, which consisted of ten upregulated and two downregulated proteins, nine were belonged to intermediate metabolism and respiration protein group, two were in lipid metabolism, and one protein was involved in information pathways and virulence. Among these proteins, two of the upregulated proteins, namely, mmsA and pntAa, showed a consistent expression pattern in both virulent mycobacterium strains. These proteins can serve as potential biomarkers for the intervention treatment of TB.
    Matched MeSH terms: Biomarkers/analysis
  15. Ng WL, Mohd Mohidin TB, Shukla K
    RNA Biol, 2018;15(8):995-1005.
    PMID: 29954251 DOI: 10.1080/15476286.2018.1486659
    Circular RNAs (circRNAs) are a large class of endogenously expressed non-coding RNAs formed by covalently closed loops through back-splicing. High throughput sequencing technologies have identified thousands of circRNAs with high sequence conservation and cell type specific expression in eukaryotes. CircRNAs play multiple important roles in cellular physiology functioning as miRNA sponges, transcriptional regulators, RBP binding molecules, templates for protein translation, and immune regulators. In a clinical context, circRNAs expression is correlated with patient's clinicopathological features in cancers including breast, liver, gastric, colorectal, and lung cancer. Additionally, distinct properties of circRNAs, such as high stability, exonuclease resistance, and existence in body fluids, show promising role for circRNAs as molecular biomarkers for tumor diagnosis, non-invasive monitoring, prognosis, and therapeutic intervention. Therefore, it is critical to further understand the molecular mechanism underlying circRNAs interaction in tumors and the recent progress of this RNA species in cancer development. In this review, we provide a detailed description of biological functions, molecular role of circRNAs in different cancers, and its potential role as biomarkers in a clinical context.
    Matched MeSH terms: Biomarkers/analysis*
  16. Breadmore MC, Grochocki W, Kalsoom U, Alves MN, Phung SC, Rokh MT, et al.
    Electrophoresis, 2019 01;40(1):17-39.
    PMID: 30362581 DOI: 10.1002/elps.201800384
    One of the most cited limitations of capillary and microchip electrophoresis is the poor sensitivity. This review continues to update this series of biannual reviews, first published in Electrophoresis in 2007, on developments in the field of online/in-line concentration methods in capillaries and microchips, covering the period July 2016-June 2018. It includes developments in the field of stacking, covering all methods from field-amplified sample stacking and large-volume sample stacking, through to isotachophoresis, dynamic pH junction, and sweeping. Attention is also given to online or in-line extraction methods that have been used for electrophoresis.
    Matched MeSH terms: Biomarkers/analysis
  17. Hammad MA, Syed Sulaiman SA, Abubakar U, Mohamed Noor DA
    Diabetes Metab Syndr, 2019 01 16;13(2):1035-1040.
    PMID: 31336440 DOI: 10.1016/j.dsx.2019.01.001
    AIMS: The study intended to investigate the impact of controlled glycemia on morbidity and estimated 10-year survival (ES-10Y).

    METHODS: A cross-sectional investigation was conducted at General Penang Hospital, Malaysia. Demographic criteria and laboratory tests of patients were investigated. Controlled glycemia (CG) was recognized as glycated hemoglobin (HbA1c) ≤7% depending on American Diabetes Association guidelines 2018. Charlson Comorbidity Index (CCI) was used to estimate the confounding influence of co-morbidities and predict ES-10Y. Data was managed by IBM-SPSS 23.0.

    RESULTS: A total of 400 cases categorized to (44.25%) patients with CG, and (55.75%) cases had uncontrolled glycemia (UCG). HbA1c mean in CG and UCG group was (6.8 ± 0.9 vs 9.5 ± 1.6, P-value: 0.001). Fasting blood glucose was (7 ± 2.3 vs. 9.9 ± 4.3, P-value: 0.001) in CG and UCG group. CCI was (3.38 ± 2.38 vs. 4.42 ± 2.70, P-value: 0.001) and, ES-10Y was (62% vs 46.2%, p-value: 0.001) in CG vs. UCG respectively. Spearman test indicates a negative correlation between CG and CCI (r: 0.19, p-value: 0.001). Logistic regression confirmed HbA1c as a significant predictor of CCI (r2: 0.036, P-value: 0.001). CG has a positive correlation with survival (r: 0.16, P-value: 0.001) and logistic regression of survival (r2: 0.26, P-value: 0.001).

    CONCLUSIONS: More than one-half of the investigated persons had UCG. Controlled HbA1c was associated with lower co-morbidities and higher ES-10Y.

    Matched MeSH terms: Biomarkers/analysis*
  18. Sow AY, Ismail A, Zulkifli SZ, Amal MN, Hambali K
    BMC Pharmacol Toxicol, 2019 Jan 29;20(1):8.
    PMID: 30696486 DOI: 10.1186/s40360-019-0286-x
    BACKGROUND: Levels of toxic metal exposure in indigenous inhabitants are key bioindicators of the severity of environmental contamination. This study measured the seasonal variation of heavy metals and metallothionein (MT) contents in Asian swamp eels (Monopterus albus) from a paddy field situated in Tumpat, Kelantan, Malaysia, to identify prevalence, patterns and associations and togain insight on the suitability of MT as a biomarker for metal exposure.

    METHODS: Gill, muscle and liver tissues of M. albus (n = 50) sampled during the ploughing, seedling, growing and harvesting phases of rice growing were collected. The concentrations of copper (Cu), zinc (Zn), lead (Pb), nickel (Ni), and cadmium (Cd) in these tissues were determined by flame atomic absorption spectrometry. MT from each sample was isolated and purified, and subsequently quantitated using UV spectrophotometry. Associations between metal and MT concentrations, season and tissue type were evaluated using Pearson correlation and ANOVA with post-hoc Tukey HSD analysis.

    RESULTS: Zn was present in higher quantities in gill and liver tissues, while Cu levels were elevated solely in liver. Patterns of non-essential metal accumulation were varied: Cd was detected in low concentrations in all tissues, while Pb and Ni were abundant in gill tissues across all seasons. MT concentration in liver tissue was consistently higher than that found in muscle or gill tissue, except during the growing phase. Moreover, significant correlations (P 

    Matched MeSH terms: Biomarkers/analysis
  19. Hossain MAM, Uddin SMK, Chowdhury ZZ, Sultana S, Johan MR, Rohman A, et al.
    PMID: 30865559 DOI: 10.1080/19440049.2019.1580389
    Mislabelling in fish products is a highly significant emerging issue in world fish trade in terms of health and economic concerns. DNA barcoding is an efficient sequencing-based tool for detecting fish species substitution but due to DNA degradation, it is in many cases difficult to amplify PCR products of the full-length barcode marker (~650 bp), especially in severely processed products. In the present study, a pair of universal primers targeting a 198 bp sequence of the mitochondrial 16s rRNA gene was designed for identification of fish species in the processed fish products commonly consumed in Malaysia. The specificity of the universal primers was tested by both in-silico studies using bioinformatics software and through cross-reaction assessment by practical PCR experiments against the DNA from 38 fish species and 22 other non-target species (animals and plants) and found to be specific for all the tested fish species. To eliminate the possibility of any false-negative detection, eukaryotic endogenous control was used during specificity evaluation. The developed primer set was validated with various heat-treated (boiled, autoclaved and microwaved) fish samples and was found to show high stability under all processing conditions. The newly developed marker successfully identified 92% of the tested commercial fish products with 96-100% sequence similarities. This study reveals a considerable degree of species mislabelling (20.8%); 5 out of 24 fish products were found to be mislabelled. The new marker developed in this work is a reliable tool to identify fish species even in highly processed products and might be useful in detecting fish species substitution thus protecting consumers' health and economic interests.
    Matched MeSH terms: Biomarkers/analysis
  20. Hammad MA, Syed Sulaiman SA, Aziz NA, Mohamed Noor DA
    Diabetes Metab Syndr, 2019 04 12;13(3):1797-1803.
    PMID: 31235097 DOI: 10.1016/j.dsx.2019.04.006
    AIMS: The study was intended to evaluate the association of cognitive impairment with statins therapy among diabetic outpatients.

    METHODS: Mini-Addenbrooke's Cognitive Examination (M-ACE) was conducted for 280 cases in a cross-sectional study at Hospital Pulau Pinang. M-ACE score is 30, and the cut-off score for mild cognitive impairment is ≤ 21 and ≤ 16 for dementia.

    RESULTS: The cognitive impairment was distributed among 59 (55.1%) patients with mild cognitive impairment and 48 (44.9%) patients with dementia. From 177 patients using statins, about 80 (45.2%) cases had cognitive impairment. While from 103 statins non-users, only 27 (26.2%) had cognitive impairment. The relative risk of cognitive impairment associated with statins use in diabetic patients is (RR: 1.72, 95% CI: 1.2-2.48) and the excess relative risk is 72.4%. The absolute risk is 19%, and the number needed to harm is 6. Spearman's test indicated a positive association between statins usage and cognitive impairment incidence (r: 0.188, p-value: 0.002). However, Spearman's test showed a non-significant correlation amongst statins and dementia incidence (P-value: 0.587, RR: 1.16, 95% CI: 0.67-2.02).

    CONCLUSIONS: Statins therapy has a higher association with cognitive impairment risk than statins-free treatment; however, there is no association between statin use and dementia incidence among diabetic patients.
    Matched MeSH terms: Biomarkers/analysis*
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