Displaying publications 141 - 160 of 1425 in total

Abstract:
Sort:
  1. Fulltext Identification polypeptide biomarkers of porcine skin gelatin by two-dimensional electrophoresis
    Aina, M.A., Amin, I., Raja Mohd Hafidz, R.N., Yaakob, C.M.
    International Food Research Journal, 2013;20(3):1395-1399.
    MyJurnal
    The peptide composition of gelatin is known to vary very common that the electrophoretic pattern of gelatin from one source differs from another source even for the same raw material. Therefore, the present study aimed to use proteomics field to identify gelatin polypeptides biomarker for depending on the condition under which collagen is hydrolyzed. Hence, it is porcine skins. The polypeptides obtained for porcine skin gelatins can be used as reference in future to detect the origins of gelatin added in the processed food. We compared porcine skin gelatin samples obtained from three producers. Total average numbers of polypeptides of porcine skin gelatins from company A, B and C were 303 ± 2.8, 285.5 ± 3.5 and 270.5 ± 4.9 spots respectively. 10 biomarkers were identified and presented in all different companies. We also did a mixture of porcine and bovine skin gelatin to detect the presence of these 10 biomarkers. The level of adulteration that could be detected was as low as 1.0% w/w
    Matched MeSH terms: Biomarkers
  2. Composition and sources of sterols in Pulau Tinggi, Johor, Malaysia
    Masni Mohd Ali, Norfariza Humrawali, Mohd Talib Latif, Mohamad Pauzi Zakaria
    Sains Malaysiana, 2011;40.
    This study explores the role of sterols as lipid biomarkers to indicate their input which originates from various sources in the marine environment. Sterols and their ratios were investigated in sediments taken from sixteen sampling stations at Pulau Tinggi, Johor in order to assess the sources of organic matter. The compounds extracted from the sediments were quantified using a gas chromatography-mass spectrometry (GC-MS). The distributions of sterols indicated that organic matter at all sampling stations originated from a mixture of marine source and terrestrial origins at different proportions. A total of eleven sterols were quantified, with the major compounds being phytosterols (44% of total sterols), cholesterol (11%), brassicasterol (11%) and fecal sterols (12%).
    Matched MeSH terms: Biomarkers
  3. Lactate dehydrogenase activity during tooth movement under 1.0 N and 1.5 N continuous force applications
    Shahrul Hisham Zainal Ariffin, Nurfathiha Abu Kasim, Rohaya Megat Abdul Wahab, Abdul Aziz Jemain
    Sains Malaysiana, 2013;42:99-105.
    The aim of this study was to observe the pattern of lactate dehydrogenase (LDH) activity in GCF and the rate of tooth movement at two different orthodontic forces (1.0 N and 1.5 N). Twelve subjects participated in this study and was chosen based on the inclusion criteria. Each subject received forces of 1.0 N and 1.5 N for tooth movement either on the left or right side of the maxillary canine. GCF sample was collected at mesial and distal sites of the canines before applying the appliance (week 0) and every week for 5 weeks after tooth movement (week 1 to week 5) where baseline activity served as control. LDH activity was assayed spectrophotometically at 340 nm. The tooth movements were measured from casted study models. LDH specific activity at mesial sites in 1.0 N and 1.5 N force groups, respectively increased significantly (p<0.05) only on week four and throughout the treatment when compared with baseline. At distal sites, LDH specific activity with 1.5 N was higher than 1.0 N throughout the five weeks of tooth movement. LDH specific activity with 1.5 N force increased at both mesial (week 2) and distal sites (week 3) with significant different (p<0.05) when compared with 1.0 N force. Tooth movement with 1.5 N showed significantly faster (p<0.05) at the end of week 5 when compared with 1.0 N. LDH has the potential as a biological marker of inflammation during tooth movement.A force of 1 N was more suitable to be used although less tooth movement was produced because less inflammation caused by the force can be useful in orthodontic treatment for patients with stabilised periodontal diseases compared with 1.5 N force.
    Matched MeSH terms: Biomarkers
  4. Fulltext A Review of the Potential Application of Osteocyte-Related Biomarkers, Fibroblast Growth Factor-23, Sclerostin, and Dickkopf-1 in Predicting Osteoporosis and Fractures
    Ramli FF, Chin KY
    Diagnostics (Basel), 2020 Mar 06;10(3).
    PMID: 32155909 DOI: 10.3390/diagnostics10030145
    Bone turnover markers (BTMs) derived from the secretory activities of osteoblasts and the matrix-degrading activities of osteoclasts are useful in monitoring the progression of osteoporosis and the efficacy of anti-osteoporotic treatment. However, the usefulness of BTMs in predicting osteoporosis remains elusive. Osteocytes play a central role in regulating bone formation and resorption. The proteins secreted by osteocytes, such as fibroblast growth factor-23 (FGF23), sclerostin (SOST), and dickkopf-1 (DKK1), could be candidates for osteoporosis screening and fracture prediction. This review summarizes the current evidence on the potential of osteocyte-related proteins as biomarkers for osteoporosis and fracture prediction. The literature reports that SOST may be a potential marker for osteoporosis screening but not for fracture prediction. FGF23 is a potential marker for increased fracture risk, but more studies are needed to confirm its usefulness. The role of DKK1 as a marker to predict osteoporosis and fracture risk cannot be confirmed due to a lack of consistent evidence. In conclusion, circulating osteocyte markers are potential osteoporosis biomarkers, but more studies are warranted to validate their clinical use.
    Matched MeSH terms: Biomarkers
  5. Blood-based oxidation markers in medicated and unmedicated schizophrenia patients: A meta-analysis
    Goh XX, Tang PY, Tee SF
    Asian J Psychiatr, 2022 Jan;67:102932.
    PMID: 34839098 DOI: 10.1016/j.ajp.2021.102932
    Increased reactive species due to the effect of antipsychotics on oxidative stress may be involved in the development of schizophrenia. However, antipsychotics may have different direct antioxidant effects due to their chemical structures. The present meta-analysis aimed to investigate whether the cause increased oxidant status in schizophrenia patients is due to the illness or induction by antipsychotics. Studies published from 1964 to 2021 were selected from Pubmed and Scopus databases. Data were analysed using Comprehensive Meta-Analysis version 2. Effect sizes were calculated and compared between unmedicated and medicated patients and healthy controls. Heterogeneity and publication bias were assessed. Subgroup analyses were conducted on drug-free and drug-naïve patients, and patients treated with atypical and typical antipsychotics. We found that medicated patients had significantly higher malondialdehyde (MDA), thiobarbituric acid reactive substances (TBARS) and total oxidant status (TOS). Meanwhile, significantly increased plasma/serum MDA and nitric oxide (NO) were observed in unmedicated patients only. Higher lipid peroxidation in the drug-naïve group may be associated schizophrenia. However, both atypical and typical antipsychotics may worsen lipid peroxidation. Antipsychotic discontinuation in the drug-free group led to significantly increased plasma/serum NO, with larger effect size than the atypical antipsychotic group. In conclusion, medicated schizophrenia patients were more suffered from increased oxidative stress. Therefore, future study may focus on the mechanism of action of specific antipsychotic on oxidative stress.
    Matched MeSH terms: Biomarkers
  6. A narrative review of brain-derived neurotrophic factor (BDNF) on cognitive performance in Alzheimer's disease
    Ismail NA, Leong Abdullah MFI, Hami R, Ahmad Yusof H
    Growth Factors, 2021 01 11;38(3-4):210-225.
    PMID: 33427532 DOI: 10.1080/08977194.2020.1864347
    Brain-derived neurotrophic factor (BDNF) is a neurotrophin that is highly expressed in the brain. It influences neuronal survival, growth and acts as a control centre for neurotransmitters. It also plays a crucial role in learning and memory. Current evidence indicates that BDNF may be a possible neurotrophic factor that controls cognitive functions under normal and neuropathological conditions. Recent findings indicate a reduction in cognitive performance in individuals with Alzheimer's disease (AD). This relationship between cognitive performance and AD is important for investigating both the time they overlap and the pathophysiological mechanism in each case. Therefore, this study reviewed the existing knowledge about BDNF and cognitive performance in the AD population. The findings support the idea that this tropic factor may be a potential biomarker for evaluating the changes in cognitive performance in AD.
    Matched MeSH terms: Biomarkers
  7. A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach
    Tan MS, Cheah PL, Chin AV, Looi LM, Chang SW
    Comput Biol Med, 2021 12;139:104947.
    PMID: 34678481 DOI: 10.1016/j.compbiomed.2021.104947
    Alzheimer's Disease (AD) is a neurodegenerative disease that affects cognition and is the most common cause of dementia in the elderly. As the number of elderly individuals increases globally, the incidence and prevalence of AD are expected to increase. At present, AD is diagnosed clinically, according to accepted criteria. The essential elements in the diagnosis of AD include a patients history, a physical examination and neuropsychological testing, in addition to appropriate investigations such as neuroimaging. The omics-based approach is an emerging field of study that may not only aid in the diagnosis of AD but also facilitate the exploration of factors that influence the development of the disease. Omics techniques, including genomics, transcriptomics, proteomics and metabolomics, may reveal the pathways that lead to neuronal death and identify biomolecular markers associated with AD. This will further facilitate an understanding of AD neuropathology. In this review, omics-based approaches that were implemented in studies on AD were assessed from a bioinformatics perspective. Current state-of-the-art statistical and machine learning approaches used in the single omics analysis of AD were compared based on correlations of variants, differential expression, functional analysis and network analysis. This was followed by a review of the approaches used in the integration and analysis of multi-omics of AD. The strengths and limitations of multi-omics analysis methods were explored and the issues and challenges associated with omics studies of AD were highlighted. Lastly, future studies in this area of research were justified.
    Matched MeSH terms: Biomarkers
  8. Proteome Heterogeneity in Colorectal Cancer
    Lim LC, Lim YM
    Proteomics, 2018 02;18(3-4).
    PMID: 29316255 DOI: 10.1002/pmic.201700169
    Tumor heterogeneity is an important feature of colorectal cancer (CRC) manifested by dynamic changes in gene expression, protein expression, and availability of different tumor subtypes. Recent publications in the past 10 years have revealed proteome heterogeneity between different colorectal tumors and within the same tumor site. This paper reviews recent research works on the proteome heterogeneity in CRC, which includes the heterogeneity within a single tumor (intratumor heterogeneity), between different anatomical sites at the same organ, and between primary and metastatic sites (intertumor heterogeneity). The potential use of proteome heterogeneity in precision medicine and its implications in biomarker discovery and therapeutic outcomes will be discussed. Identification of the unique proteome landscape between and within individual tumors is imperative for understanding cancer biology and the management of CRC patients.
    Matched MeSH terms: Biomarkers
  9. Fulltext Illuminating the Molecular Intricacies of Exosomes and ncRNAs in Cardiovascular Diseases: Prospective Therapeutic and Biomarker Potential
    Khan FB, Uddin S, Elderdery AY, Goh KW, Ming LC, Ardianto C, et al.
    Cells, 2022 Nov 18;11(22).
    PMID: 36429092 DOI: 10.3390/cells11223664
    Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide. Accumulating evidences have highlighted the importance of exosomes and non-coding RNAs (ncRNAs) in cardiac physiology and pathology. It is in general consensus that exosomes and ncRNAs play a crucial role in the maintenance of normal cellular function; and interestingly it is envisaged that their potential as prospective therapeutic candidates and biomarkers are increasing rapidly. Considering all these aspects, this review provides a comprehensive overview of the recent understanding of exosomes and ncRNAs in CVDs. We provide a great deal of discussion regarding their role in the cardiovascular system, together with providing a glimpse of ideas regarding strategies exploited to harness their potential as a therapeutic intervention and prospective biomarker against CVDs. Thus, it could be envisaged that a thorough understanding of the intricacies related to exosomes and ncRNA would seemingly allow their full exploration and may lead clinical settings to become a reality in near future.
    Matched MeSH terms: Biomarkers
  10. Detection of Circulating Tumor Cells and Epithelial Progenitor Cells: A Comprehensive Study
    Fuloria S, Subramaniyan V, Gupta G, Sekar M, Meenakshi DU, Sathasivam K, et al.
    J Environ Pathol Toxicol Oncol, 2023;42(3):1-29.
    PMID: 37017676 DOI: 10.1615/JEnvironPatholToxicolOncol.2022044456
    Technological advancement to enhance tumor cells (TC) has allowed discovery of various cellular bio-markers: cancer stem cells (CSC), circulating tumor cells (CTC), and endothelial progenitor cells (EPC). These are responsible for resistance, metastasis, and premetastatic conditions of cancer. Detection of CSC, CTC, and EPC assists in early diagnosis, recurrence prediction, and treatment efficacy. This review describes various methods to detect TC subpopulations such as in vivo assays (sphere-forming, serial dilution, and serial transplantation), in vitro assays (colony-forming cells, microsphere, side-population, surface antigen staining, aldehyde dehydrogenase activity, and Paul Karl Horan label-retaining cells, surface markers, nonenriched and enriched detection), reporter systems, and other analytical methods (flow cytometry, fluorescence microscopy/spectroscopy, etc.). The detailed information on methods to detect CSC, CTC, and EPC in this review will assist investigators in successful prognosis, diagnosis, and cancer treatment with greater ease.
    Matched MeSH terms: Biomarkers, Tumor
  11. The role of shear viscosity as a biomarker for improving chronic kidney disease detection using shear wave elastography: A computational study using a validated finite element model
    Lim WTH, Ooi EH, Foo JJ, Ng KH, Wong JHD, Leong SS
    Ultrasonics, 2023 Aug;133:107046.
    PMID: 37247461 DOI: 10.1016/j.ultras.2023.107046
    The application of ultrasound shear wave elastography for detecting chronic kidney disease, namely renal fibrosis, has been widely studied. A good correlation between tissue Young's modulus and the degree of renal impairment has been established. However, the current limitation of this imaging modality pertains to the linear elastic assumption used in quantifying the stiffness of renal tissue in commercial shear wave elastography systems. As such, when underlying medical conditions such as acquired cystic kidney disease, which may potentially influence the viscous component of renal tissue, is present concurrently with renal fibrosis, the accuracy of the imaging modality in detecting chronic kidney disease may be affected. The findings in this study demonstrate that quantifying the stiffness of linear viscoelastic tissue using an approach similar to those implemented in commercial shear wave elastography systems led to percentage errors as high as 87%. The findings presented indicate that use of shear viscosity to detect changes in renal impairment led to a reduction in percentage error to values as low as 0.3%. For cases in which renal tissue was affected by multiple medical conditions, shear viscosity was found to be a good indicator in gauging the reliability of the Young's modulus (quantified through a shear wave dispersion analysis) in detecting chronic kidney disease. The findings show that percentage error in stiffness quantification can be reduced to as low as 0.6%. The present study demonstrates the potential use of renal shear viscosity as a biomarker to improve the detection of chronic kidney disease.
    Matched MeSH terms: Biomarkers
  12. Development and validation of ELISA for screening of Kratom (Mitragyna speciosa) habitual users using urinary AZ122 biomarker
    Jasim RK, Singh D, Gam LH
    Biotechnol Appl Biochem, 2023 Apr;70(2):707-715.
    PMID: 35931067 DOI: 10.1002/bab.2392
    Kratom (Mitragyna speciosa Korth) has been used traditionally in Southeast Asia for its therapeutic properties. The major alkaloid of kratom, mitragynine, binds to opioid receptors to give opioid-like effects that causes addiction. In our previous study, we have identified AZ122 as a unique biomarker in habitual or regular kratom users through analysis of their urinary protein profiles. We aimed to develop and validate a screening method by means of enzyme-linked immunosorbent assay (ELISA) for detection of kratom habitual users. An ELISA approach was applied for the development of a screening method using urinary AZ122 as biomarker. Method validation was carried out using three quality control materials at different concentration of AZ122. The data was analyzed statistically using SPSS (Version 25). The ELISA was presented with Pearson correlation coefficient of 0.9993. The repeatability and reproducibility were presented at CV <7%, while the accuracy ranged from 78 to 96% at various AZ112 concentrations. Upon testing on 176 male respondents (n = 88 regular kratom users and n = 88 healthy controls), the specificity and sensitivity of the assay were both 100%. The ELISA has been validated and can be potentially used as a reliable screening test for detection of kratom habitual users.
    Matched MeSH terms: Biomarkers
  13. Machine learning approaches in diagnosing tuberculosis through biomarkers - A systematic review
    Balakrishnan V, Kherabi Y, Ramanathan G, Paul SA, Tiong CK
    Prog Biophys Mol Biol, 2023 May;179:16-25.
    PMID: 36931609 DOI: 10.1016/j.pbiomolbio.2023.03.001
    Biomarker-based tests may facilitate Tuberculosis (TB) diagnosis, accelerate treatment initiation, and thus improve outcomes. This review synthesizes the literature on biomarker-based detection for TB diagnosis using machine learning. The systematic review approach follows the PRISMA guideline. Articles were sought using relevant keywords from Web of Science, PubMed, and Scopus, resulting in 19 eligible studies after a meticulous screening. All the studies were found to have focused on the supervised learning approach, with Support Vector Machine (SVM) and Random Forest emerging as the top two algorithms, with the highest accuracy, sensitivity and specificity reported to be 97.0%, 99.2%, and 98.0%, respectively. Further, protein-based biomarkers were widely explored, followed by gene-based such as RNA sequence and, Spoligotypes. Publicly available datasets were observed to be popularly used by the studies reviewed whilst studies targeting specific cohorts such as HIV patients or children gathering their own data from healthcare facilities, leading to smaller datasets. Of these, most studies used the leave one out cross validation technique to mitigate overfitting. The review shows that machine learning is increasingly assessed in research to improve TB diagnosis through biomarkers, as promising results were shown in terms of model's detection performance. This provides insights on the possible application of machine learning approaches to diagnose TB using biomarkers as opposed to the traditional methods that can be time consuming. Low-middle income settings, where access to basic biomarkers could be provided as compared to sputum-based tests that are not always available, could be a major application of such models.
    Matched MeSH terms: Biomarkers
  14. COURSE OF POST COVID-19 DISEASE IN HEART FAILURE PATIENTS WITH MODERATELY REDUCED LEFT VENTRICULAR EJECTION FRACTION
    Rudyk I, Babichev D, Medentseva O, Pyvovar S, Shcherban T
    Georgian Med News, 2023 May.
    PMID: 37419472
    In this study, we assessed the impact of COVID-19 on the course of HFmrEF by determining the biomarkers furin and NT-proBNP, questionnaires (EQ-5D-5L), and cardiac ultrasound. A comprehensive examination of 72 patients with HFmrEF (main group) and 18 apparently healthy individuals (control group). The main group was divided into two subgroups depending on the history of coronavirus disease. All patients gave their consent to participate in the study. In the group of patients with a history of coronavirus infection compared to the patients without a COVID-19 history were established: significantly higher concentrations of NT-proBNP (1002.79±215.94 pg/ml and 405.37±99.06 pg/ml, respectively, p-value 0.01), uric acid (429.08±27.01 mmol/l vs. 354.44±28.75 mmol/l, p-value 0.04) and a lower furin to NT-proBNP ratio (0.87± 0.26 and 1.38 ± 1.16, p-value 0.045) in blood serum; using the EQ-5D-5L questionnaire, a significant deterioration of quality of life indicators (64.21±3.04 points vs. 72.81±1.82 points by VAS, p-value 0.02); higher indicators of LVMMi (157.39±6.14 g/m2 and 138.68±6.02 g/m2, p-value 0.03), LA dimensions (43.74±0.95 mm and 41.12±0.85 mm, p-value 0.04) and RA dimensions (40.76±1.23 mm and 37.75±0.85 mm, p-value 0.04). Coronavirus infection in patients with HFmrEF leads to disorders of intracardiac hemodynamics and persistent negative structural changes of the heart. The ratio of furin to NT-proBNP serum levels can be used to determine the impact of the HF syndrome itself on the patients' subjective assessment of their quality of life.
    Matched MeSH terms: Biomarkers
  15. Fulltext Joint Asian Pacific Association of Gastroenterology (APAGE)-Asian Pacific Society of Digestive Endoscopy (APSDE) clinical practice guidelines on the use of non-invasive biomarkers for diagnosis of colorectal neoplasia
    Chan FKL, Wong MCS, Chan AT, East JE, Chiu HM, Makharia GK, et al.
    Gut, 2023 Jul;72(7):1240-1254.
    PMID: 37019620 DOI: 10.1136/gutjnl-2023-329429
    Screening for colorectal cancer (CRC) is effective in reducing CRC related mortality. Current screening methods include endoscopy based and biomarker based approaches. This guideline is a joint official statement of the Asian Pacific Association of Gastroenterology (APAGE) and the Asian Pacific Society of Digestive Endoscopy (APSDE), developed in response to the increasing use of, and accumulating supportive evidence for the role of, non-invasive biomarkers for the diagnosis of CRC and its precursor lesions. A systematic review of 678 publications and a two stage Delphi consensus process involving 16 clinicians in various disciplines was undertaken to develop 32 evidence based and expert opinion based recommendations for the use of faecal immunochemical tests, faecal based tumour biomarkers or microbial biomarkers, and blood based tumour biomarkers for the detection of CRC and adenoma. Comprehensive up-to-date guidance is provided on indications, patient selection and strengths and limitations of each screening tool. Future research to inform clinical applications are discussed alongside objective measurement of research priorities. This joint APAGE-APSDE practice guideline is intended to provide an up-to-date guide to assist clinicians worldwide in utilising non-invasive biomarkers for CRC screening; it has particular salience for clinicians in the Asia-Pacific region.
    Matched MeSH terms: Biomarkers, Tumor
  16. Fulltext Efficacy and safety of the point-of-care procalcitonin test for determining the antibiotic treatment duration in patients with ventilator-associated pneumonia in the intensive care unit: a randomised controlled trial
    Z Mazlan M, A H Ismail M, Ali S, Salmuna ZN, Wan Muhd Shukeri WF, Omar M
    Anaesthesiol Intensive Ther, 2021;53(3):207-214.
    PMID: 34006044 DOI: 10.5114/ait.2021.104300
    INTRODUCTION: This study was conducted to assess the efficacy of point-of-care (POC) procalcitonin (PCT) serial measurement in determining the antibiotic treatment duration in patients with ventilator-associated pneumonia (VAP).

    MATERIAL AND METHODS: One hundred patients were randomly recruited and then further randomly divided into two groups of 50 patients each. The first group used the POC PCT test along with the standard sepsis parameter monitoring, while the second group had the standard monitoring only (C-reactive protein [CRP] level, total white count, temperature and tracheal aspirate culture). Serial PCT test results and CRP levels were monitored on days 1, 3, 7 and 9. The patients were followed up for 28-day mortality.

    RESULTS: Eighty-five patients completed the trial, of whom 43 were in the PCT group and 42 were in the control group. The PCT group had a significantly lower mean (SD) antibiotic treatment duration (10.28 [2.68] days) than the control group (11.52 [3.06]). The mean (SD) difference was -1.25 (95% confidence interval [CI], -2.48 to 0.01; t-statistic [df] = -1.997 [83]; P = 0.049). The PCT group also had a higher number of antibiotic-free days alive during the 28 days after VAP onset than the control group (mean [SD], 10.79 [7.61] vs. 8.72 [6.41]). The Sequential Organ Failure Assessment score was the sole factor for the decrease in duration after VAP onset (regression coefficient β [95% CI], -0.70 [-1.19 to -0.20]; P = 0.006).

    CONCLUSIONS: The POC procalcitonin test can reduce the antibiotic treatment duration in patients with VAP.

    Matched MeSH terms: Biomarkers
  17. Fulltext Evaluating the potential of matrix metalloproteinase as a diagnostic biomarker in rheumatoid arthritis and periodontitis: A systematic review and meta-analysis
    Batool A, Vaithilingam RD, Mohamad Hassan NH, Safii SH, Saub R
    Medicine (Baltimore), 2023 Oct 13;102(41):e35340.
    PMID: 37832126 DOI: 10.1097/MD.0000000000035340
    BACKGROUND: Matrix metalloproteinases (MMPs) play a crucial role in the pathogenesis of several chronic diseases including rheumatoid arthritis (RA) and periodontitis (PD). RA patients with periodontitis (RA-PD) are associated with elevated inflammatory burden due to increased production of proinflammatory cytokines. Controlling upregulated MMPs activity in these patients may have potential therapeutic effects. Therefore, aim of this study is to address the focused question: "Do RA subjects with concurrent PD have different levels of MMPs in comparison to RA alone, PD alone and HC subjects?"

    METHODS: The systematic review was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A search from 4 electronic databases (EMBASE, Medline, Web of Science, and Cochrane library) and manual search was performed from inception to July 2023. Quality assessment of each article was done using Newcastle-Ottawa Scale. Meta-analyses derived results were summarized as standardized mean difference (SMD) with 95% confidence intervals.

    RESULTS: A total of 879 articles were extracted. Following screening and full text assessment, 9 studies were included. MMP-1, MMP-3, MMP-8, MMP-9, and MMP-13 were consistently elevated in RA-PD subjects. MMP-8 levels were found to be higher in RA-PD subjects compared with RA alone, PD alone, and HC in 3 studies reporting GCF levels (SMD = 1.2; Z = 2.07; P = .04) and 2 studies reporting serum levels (SMD = 0.87; Z = 4.53; P < .00001).

    CONCLUSION: RA-PD group showed significantly higher MMP levels in their serum and GCF compared with HC, RA, and PD alone individuals. MMP-8 may serve as a reliable biomarker in the diagnosis and management of RA-PD subjects.

    Matched MeSH terms: Biomarkers
  18. Fulltext The Use of Bone-Turnover Markers in Asia-Pacific Populations
    Vasikaran S, Thambiah SC, Tan RZ, Loh TP, APFCB Harmonization of Reference Interval Working Group
    Ann Lab Med, 2024 Mar 01;44(2):126-134.
    PMID: 37869778 DOI: 10.3343/alm.2023.0214
    Bone-turnover marker (BTM) measurements in the blood or urine reflect the bone-remodeling rate and may be useful for studying and clinically managing metabolic bone diseases. Substantial evidence supporting the diagnostic use of BTMs has accumulated in recent years, together with the publication of several guidelines. Most clinical trials and observational and reference-interval studies have been performed in the Northern Hemisphere and have mainly involved Caucasian populations. This review focuses on the available data for populations from the Asia-Pacific region and offers guidance for using BTMs as diagnostic biomarkers in these populations. The procollagen I N-terminal propeptide and β-isomerized C-terminal telopeptide of type-I collagen (measured in plasma) are reference BTMs used for investigating osteoporosis in clinical settings. Premenopausal reference intervals (established for use with Asia-Pacific populations) and reference change values and treatment targets (used to monitor osteoporosis treatment) help guide the management of osteoporosis. Measuring BTMs that are not affected by renal failure, such as the bone-specific isoenzyme alkaline phosphatase and tartrate-resistant acid phosphatase 5b, may be advantageous for patients with advanced chronic kidney disease. Further studies of the use of BTMs in individuals with metabolic bone disease, coupled with the harmonization of commercial assays to provide equivalent results, will further enhance their clinical applications.
    Matched MeSH terms: Biomarkers
  19. Fulltext A review of functional pancreatic neuroendocrine tumors: Exploring the molecular pathogenesis, diagnosis and treatment
    Alshareefy Y, Cummins S, Mazzoleni A, Sharma V, Guggilapu S, Leong AWY, et al.
    Medicine (Baltimore), 2023 Nov 17;102(46):e36094.
    PMID: 37986400 DOI: 10.1097/MD.0000000000036094
    Pancreatic neuroendocrine tumors (PanNETs) are a rare subtype of pancreatic cancer and can be divided into functional (30-40%) and nonfunctional subtypes. The different subtypes of functional PanNETs (F-PanNETs) have a variety of classical presentations that raise suspicion for an underlying PanNET. It is estimated that 90% of PanNETs are sporadic, and the PI3K-Akt-mTOR and ATRX/DAXX signaling pathways have been recognized as key genetic pathways implicated in the pathogenesis. The other 10% of PanNETs may occur in the context of familial cancer syndromes such as MEN1. Chromogranin A is the most useful biomarker currently; however, several studies have shown limitations with its use, especially its prognostic value. Synaptophysin is a novel biomarker which has shown promising preliminary results however its use clinically has yet to be established. Blood tests assessing hormone levels, cross-sectional imaging, and endoscopic ultrasound remain at the core of establishing a diagnosis of F-PanNET. The treatment options for F-PanNETs include surgical methods such as enucleation, systemic therapies like chemotherapy and novel targeted therapies such as everolimus. The prognosis for F-PanNETs is more favorable than for nonfunctional PanNETs, however metastatic disease is associated with poor survival outcomes. Researchers should also focus their efforts on identifying novel pathways implicated in the pathogenesis of F-PanNETs in order to develop new targeted therapies that may reduce the need for surgical intervention and on the establishment of novel biomarkers that may reduce the need for invasive testing and allow for earlier detection of F-PanNETs.
    Matched MeSH terms: Biomarkers
  20. Fulltext Site-specific imprinting of dengue virus non-structural 1 antigen on a polydopamine-based sensing film for early detection and prognosis of dengue
    Lim HJ, Saha T, Ooi CW
    Talanta, 2024 Feb 01;268(Pt 2):125376.
    PMID: 37951180 DOI: 10.1016/j.talanta.2023.125376
    Serum levels of dengue virus (DENV) non-structural 1 (NS1) antigen can serve as a valuable prognostic indicator of severe dengue infections. A quartz crystal microbalance (QCM)-based biosensor with a biomimetic recognition element was designed to quantitatively detect DENV NS1 as an early disease biomarker. To mitigate the reliance on costly viral antigens during the molecular imprinting process, a synthetic peptide mimicking a DENV NS1 epitope was used as a surrogate template for the synthesis of an epitope-imprinted polydopamine (EMIPDA) sensing film on the biosensor surface. The maximal frequency shift for DENV NS1 was obtained with an EMIPDA film synthesised using 5 mg mL-1 of dopamine monomer and 0.5 mg mL-1 of peptide template. The EMIPDA-QCM biosensor achieved low detection and quantitation limits of 0.091 μg mL-1 and 0.436 μg mL-1, respectively, allowing acute-phase detection of dengue and prognosis of the disease progression. The EMIPDA-QCM biosensor exhibited remarkable selectivity with up to 68-fold larger frequency responses towards DENV NS1 compared to a major serum protein. The site-specific imprinting approach not only enhanced the biosensing performance but also enabled a 26-fold cost reduction for biosensor functionalisation, providing a cost-effective strategy for label-free biosensing of the dengue biomarker via the biopolymer film.
    Matched MeSH terms: Biomarkers
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links