Browse publications by year: 2020

  1. Abdul Razak S, Makmor Bakry M, Mohamed Said MS, Tan CE, Md Redzuan A
    Front Pharmacol, 2020;11:572260.
    PMID: 33240088 DOI: 10.3389/fphar.2020.572260
    Background: The biologic disease-modifying antirheumatic drugs (bDMARDs) are currently incorporated as part of the pharmacotherapy management of inflammatory arthritis (IA). Adherence to bDMARDs is crucial to ensure treatment success in IA. However, most of the recent studies evaluated adherence level in patients using subcutaneous injections of bDMARDs utilized the indirect methods adapted from adherence assessment for oral medication. Aim: This study aimed to develop a questionnaire to assess adherence to the self-injectable subcutaneous bDMARDs. Methods: The development of the Subcutaneous bDMARDs Adherence Score (SCADS) involved evaluation of content validity. Literature reviews provide the basis for domain identification and item formation. Four experts evaluated the instrument by using a four-point ordinal scale with a rubric scoring on relevance, importance, and clarity of each item in measuring the overarching construct. The item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI) were calculated. The factor structure and internal consistency reliability of SCADS were estimated using principal component analysis (PCA) and Cronbach's alpha, respectively. Results: Both S-CVI/UA (universal agreement) and the average item-level content validity index (S-CVI/Ave) (average) for the entire instrument showed excellent criteria with a value of >0.90. Cronbach's alpha coefficient value for SCADS was 0.707 indicating good internal consistency. All items showed corrected item-total correlation coefficients above 0.244. Questionnaire items with a factor loading of 0.30 or above were considered in the final factor solution. The factor analysis resulted in 3-factor solutions, which corresponded to 66.62% of the total variance. Conclusion: The SCADS is a consistent and reliable instrument for evaluating adherence among IA patients using the subcutaneous bDMARDs. It is simple to use, yet comprehensive but still requiring further clinical and international validation.
  2. Veeraragavan S, Gopalai AA, Gouwanda D, Ahmad SA
    Front Physiol, 2020;11:587057.
    PMID: 33240106 DOI: 10.3389/fphys.2020.587057
    Gait analysis plays a key role in the diagnosis of Parkinson's Disease (PD), as patients generally exhibit abnormal gait patterns compared to healthy controls. Current diagnosis and severity assessment procedures entail manual visual examinations of motor tasks, speech, and handwriting, among numerous other tests, which can vary between clinicians based on their expertise and visual observation of gait tasks. Automating gait differentiation procedure can serve as a useful tool in early diagnosis and severity assessment of PD and limits the data collection to solely walking gait. In this research, a holistic, non-intrusive method is proposed to diagnose and assess PD severity in its early and moderate stages by using only Vertical Ground Reaction Force (VGRF). From the VGRF data, gait features are extracted and selected to use as training features for the Artificial Neural Network (ANN) model to diagnose PD using cross validation. If the diagnosis is positive, another ANN model will predict their Hoehn and Yahr (H&Y) score to assess their PD severity using the same VGRF data. PD Diagnosis is achieved with a high accuracy of 97.4% using simple network architecture. Additionally, the results indicate a better performance compared to other complex machine learning models that have been researched previously. Severity Assessment is also performed on the H&Y scale with 87.1% accuracy. The results of this study show that it is plausible to use only VGRF data in diagnosing and assessing early stage Parkinson's Disease, helping patients manage the symptoms earlier and giving them a better quality of life.
    MeSH terms: Machine Learning; Gait; Handwriting; Humans; Parkinson Disease; Quality of Life; Speech; Walking; Early Diagnosis
  3. Raza A, Matloob S, Abdul Rahim NF, Abdul Halim H, Khattak A, Ahmed NH, et al.
    Front Psychol, 2020;11:572450.
    PMID: 33240162 DOI: 10.3389/fpsyg.2020.572450
    The coronavirus disease 2019 (COVID-19) pandemic, first reported in late December 2019, is regarded as the most significant public health emergency of the century. According to the World Health Organization (WHO), the current outbreak of COVID-19 has affected millions of people and killed hundreds of thousands in more than 200 countries, including Pakistan. Health-care professionals (HCPs) cannot minimize human interactions or isolate themselves from patients due to their jobs and moral duties. Hence, the outbreak needed HCPs to work in adverse and challenging conditions with possible mental health problems. In light of the stated background, this study aims to explore and understand the factors that impede HCPs to effectively treat COVID-19 patients in Karachi, Pakistan. Based on qualitative methods, a phenomenological approach was considered to record the true experiences of HCPs. Twelve doctors and nurses were recruited from five COVID-19 designated hospitals in Karachi, Sindh Province, using purposive and snowball sampling. Semi-structured in-depth telephone interviews were conducted from April 6 to 14, 2020, and analyzed through thematic analysis. The findings suggest that there were two types of constraints, institutional and personal, which were impeding HCPs to treat COVID-19 patients effectively. Institutional constraints include the poor condition of isolation wards, inadequate availability of personal protective equipment (PPE), excessive and uneven workload, and absence of emotional and psychological support in hospitals. Besides, personal constraints include nervousness due to the novel virus, a constant fear of becoming infected, fear of taking virus to family, extreme isolation and loneliness, and feeling of powerlessness. The study found that HCPs in Pakistan have been dealing with a high risk of infection, causing mental health problems such as stress, anxiety, and depressive symptoms. These mental health problems not only affect attention, understanding, and decision-making capacity of HCPs, which could hinder the fight against COVID-19, but they could also have a continuous effect on their overall well-being on a long-term basis. Therefore, the present study outlines important clinical and policy strategies that are needed to support HCPs as the pandemic continues.
  4. Abdul Rahman M, Tan ML, Johnson SP, Hollows RJ, Chai WL, Mansell JP, et al.
    PeerJ, 2020;8:e10328.
    PMID: 33240646 DOI: 10.7717/peerj.10328
    Oral squamous cell carcinoma (OSCC) is the sixth most common cancer worldwide and accounts for 300,000 new cases yearly. The five-year survival rate is approximately 50% and the major challenges to improving patient prognosis include late presentation, treatment resistance, second primary tumours and the lack of targeted therapies. Therefore, there is a compelling need to develop novel therapeutic strategies. In this study, we have examined the effect of lysophosphatidic acid (LPA) on OSCC cell migration, invasion and response to radiation, and investigated the contribution of cyclooxygenase-2 (COX-2) in mediating the tumour promoting effects of LPA. Using the TCGA data set, we show that the expression of the lipid phosphate phosphatases (LPP), LPP1 and LPP3, was significantly down-regulated in OSCC tissues. There was no significant difference in the expression of the ENPP2 gene, which encodes for the enzyme autotaxin (ATX) that produces LPA, between OSCCs and control tissues but ENPP2 levels were elevated in a subgroup of OSCCs. To explore the phenotypic effects of LPA, we treated OSCC cell lines with LPA and showed that the lipid enhanced migration and invasion as well as suppressed the response of the cells to irradiation. We also show that LPA increased COX-2 mRNA and protein levels in OSCC cell lines and inhibition of COX-2 activity with the COX-2 inhibitor, NS398, attenuated LPA-induced OSCC cell migration. Collectively, our data show for the first time that COX-2 mediates some of the pro-tumorigenic effects of LPA in OSCC and identifies the ATX-LPP-LPA-COX-2 pathway as a potential therapeutic target for this disease.
    MeSH terms: Carcinogens; Carcinoma, Squamous Cell; Humans; Lysophospholipids; Mouth Neoplasms; Nitrobenzenes; Phosphatidate Phosphatase; RNA, Messenger; Sulfonamides; Survival Rate; Neoplasms, Second Primary; Cyclooxygenase 2; Cyclooxygenase 2 Inhibitors
  5. Ramakrishna RR, Abd Hamid Z, Wan Zaki WMD, Huddin AB, Mathialagan R
    PeerJ, 2020;8:e10346.
    PMID: 33240655 DOI: 10.7717/peerj.10346
    Stem cells are primitive and precursor cells with the potential to reproduce into diverse mature and functional cell types in the body throughout the developmental stages of life. Their remarkable potential has led to numerous medical discoveries and breakthroughs in science. As a result, stem cell-based therapy has emerged as a new subspecialty in medicine. One promising stem cell being investigated is the induced pluripotent stem cell (iPSC), which is obtained by genetically reprogramming mature cells to convert them into embryonic-like stem cells. These iPSCs are used to study the onset of disease, drug development, and medical therapies. However, functional studies on iPSCs involve the analysis of iPSC-derived colonies through manual identification, which is time-consuming, error-prone, and training-dependent. Thus, an automated instrument for the analysis of iPSC colonies is needed. Recently, artificial intelligence (AI) has emerged as a novel technology to tackle this challenge. In particular, deep learning, a subfield of AI, offers an automated platform for analyzing iPSC colonies and other colony-forming stem cells. Deep learning rectifies data features using a convolutional neural network (CNN), a type of multi-layered neural network that can play an innovative role in image recognition. CNNs are able to distinguish cells with high accuracy based on morphologic and textural changes. Therefore, CNNs have the potential to create a future field of deep learning tasks aimed at solving various challenges in stem cell studies. This review discusses the progress and future of CNNs in stem cell imaging for therapy and research.
  6. Nurdalila AA, Natnan ME, Baharum SN
    3 Biotech, 2020 Dec;10(12):544.
    PMID: 33240745 DOI: 10.1007/s13205-020-02543-4
    Mass mortality resulting from bacterial infection poses a major problem in the grouper aquaculture industry. The purpose of this study was to profile the metabolites released in challenged fish and to reconstruct the metabolic pathways of brown marble grouper (Epinephelus fuscoguttatus) in response to Vibrio vulnificus infection. Metabolite profiles from control and challenged treatment groups after feeding were determined using gas chromatography-mass spectrometry (GC-MS). Forty metabolites were identified from the GC-MS analysis. These metabolites comprised of amino acids, fatty acids, organic acids and carbohydrates. The profiles showed the highest percent area (33.1%) for leucine from the amino acid class in infected fish compared to the control treatment group (12.3%). Regarding the fatty acid class, a higher percent area of the metabolite 8,11-eicosadienoic acid (27.04%) was observed in fish infected with V. vulnificus than in the control treatment group (22.5%). Meanwhile, in the carbohydrate class, glucose (47.0%) was the metabolite in the carbohydrate class present at highest percentage in the control treatment group compared to infected fish (30.0%). Our findings highlight the importance of a metabolic analysis for understanding the changes of metabolites in E. fuscoguttatus in response to bacterial infections.
  7. Zhang C, Lim PT, Li X, Gu H, Li X, Anderson DM
    Reg Stud Mar Sci, 2020 Sep;39.
    PMID: 33241099 DOI: 10.1016/j.rsma.2020.101397
    Gymnodinium catenatum is a cosmopolitan, bloom-forming dinoflagellate known to produce a suite of potent paralytic shellfish poisoning (PSP) toxins. Here, we revisit two major blooms of G. catenatum along the Fujianese Coast, China, in 2017 and 2018. The impact area of the 2017 bloom was larger than that of the 2018 event. Field sampling and remote satellite sensing revealed that alongshore transport driven by the southwest wind, as well as physical accumulation driven by the northeast wind, played important roles in the development and distribution of the two bloom events. The relationship between wind-induced hydrodynamic conditions and the unprecedented HAB events established in this study adds greatly to our understanding of algal bloom dynamics along the Fujianese coast. These results improve our ability to detect, track, and forecast G. catenatum blooms, thereby potentially minimizing the negative impacts of future HAB events.
  8. Rosman NSR, Harun NA, Idris I, Ismail WIW
    Heliyon, 2020 Nov;6(11):e05462.
    PMID: 33241146 DOI: 10.1016/j.heliyon.2020.e05462
    The non-hazardous silver nanoparticles (AgNPs) synthesised using the extract of a biological organism has gained widespread attention for various applications, mainly in healthcare. This study aimed at synthesising AgNPs using the aqueous extract of Marphysa moribidii (Annelida, Polychaeta) and to evaluate their antibacterial activities. AgNPs were synthesised in response to silver nitrate (AgNO3) with polychaete crude extract for 24 h incubation; the polychaete crude extract acted as both reducing and stabilising agents. The presence of biosynthesised AgNPs was confirmed by an analysis of colour variations from pinkish to yellowish-brown, as well as the appearance of surface Plasmon resonance (SPR) bands at 398-400 nm using ultraviolet-visible spectroscopy. Biosynthesised AgNPs were characterised by dynamic light scattering, scanning electron microscope, transmission electron microscopy, X-ray diffraction, and Fourier transform infrared spectroscopy. Biosynthesised AgNPs showed a significant effect (p < 0.05) on Gram-positive bacteria (Staphylococcus aureus and S . epidermidis) and Gram-negative bacteria (Escherichia coli, Klebsiella pnemoniae, Salmonella typhimurium, Serratia sp., Shigella sonnei, and Pseudomonas aeruginosa). Thus, the crude extract of M. moribidii has a potential as a reducing agent for the development of future nanometal-based antibacterial agent, AgNPs, for the treatment of infectious diseases caused by pathogenic bacteria.
  9. Haydar Ali Tajuddin A, Kamaruddin N, Sukor N, Azizan EA, Omar AM
    J Endocr Soc, 2020 Dec 01;4(12):bvaa157.
    PMID: 33241169 DOI: 10.1210/jendso/bvaa157
    Estrogen (17β-estradiol or E2) is a crucial regulator of the synthesis and secretion of pituitary reproductive hormones luteinizing hormone, follicle-stimulating hormone, and prolactin. In this review, we summarize the role of estrogen receptors in nonfunctioning pituitary neuroendocrine tumors (NF-Pitnets), focusing on immunoexpression and gonadotroph cell proliferation and apoptosis. Gonadotroph tumors are the most common subtype of NF-Pitnets. Two major estrogen receptor (ER) isoforms expressed in the pituitary are estrogen receptor alpha (ERα) and estrogen receptor beta (ERβ). Overall, estrogen actions are mostly exerted through the ERα isoform on the pituitary. The G protein-coupled estrogen receptor (GPER) located at the plasma membrane may contribute to nongenomic effects of estrogen. Nuclear immunoreactivity for ERα and ERβ was highest among gonadotroph and null cell tumors. Silent corticotroph tumors are the least immunoreactive for both receptors. A significantly elevated ERα expression was observed in macroadenomas compared with microadenomas. ERα and ERβ may act in opposite directions to regulate the Slug-E-cadherin pathway and to affect invasiveness of NF-Pitnets. In the cellular pathway, ERs regulate estrogen-induced proliferation and differentiation and impact several signaling pathways including the MAPK and PI3K/Akt pathway. Estrogen was the first-discovered inducer of pituitary tumor transforming gene 1 that was abundantly expressed in NF-Pitnets. ERα can be a potential biomarker for predicting tumor size and invasiveness as well as therapeutic target for NF-Pitnets. Selective estrogen receptor modulators or antiestrogen may represent as an alternative choice for the treatment of NF-Pitnets.
    MeSH terms: Animals; Follicle Stimulating Hormone; Lymphocytes, Null; Pituitary Gland; Pituitary Neoplasms; Prolactin; Receptors, Estrogen; Phosphatidylinositol 3-Kinases; Selective Estrogen Receptor Modulators; Estrogen Receptor Modulators; Estrogen Receptor alpha; Estrogen Receptor beta; Gastropoda; Proto-Oncogene Proteins c-akt; Corticotrophs; Gonadotrophs
  10. Abd Samat AH, Isa MH, Sabardin DM, Jamal SM, Jaafar MJ, Hamzah FA, et al.
    Ann Acad Med Singap, 2020 Sep;49(9):643-651.
    PMID: 33241252
    INTRODUCTION: This study aims to evaluate the knowledge and confidence of emergency healthcare workers (EHCW) in facing the COVID-19 pandemic.

    MATERIALS AND METHODS: A cross-sectional online study using a validated questionnaire was distributed to doctors (MD), assistant medical officers (AMO), and staff nurses (SN) at an urban tertiary Emergency Department. It comprised of 40 knowledge and 10 confidence-level questions related to resuscitation and airway management steps.

    RESULTS: A total of 135 from 167 eligible EHCW were enrolled. 68.9% (n = 93) had high knowledge while 53.3% (n = 72) possessed high confidence level. Overall knowledge mean score was 32.96/40 (SD = 3.63) between MD (33.88±3.09), AMO (32.28±4.03), and SN (32.00±3.60), P= 0.025. EHCWs with a length of service (LOS) between 4-10 years had the highest knowledge compared to those with LOS <4-year (33.71±3.39 versus 31.21±3.19 P = 0.002). Airway-related knowledge was significantly different between the designations and LOS (P = 0.002 and P = 0.003, respectively). Overall, EHCW confidence level against LOS showed significant difference [F (2, 132) = 5.46, P = 0.005] with longer LOS showing better confidence. MD showed the highest confidence compared to AMO and SN (3.67±0.69, 3.53±0.68, 3.26±0.64) P = 0.049. The majority EHCW were confident in performing high-quality chest-compression, and handling of Personal Protective Equipment but less than half were confident in resuscitating, leading the resuscitation, managing the airway or being successful in first intubation attempt.

    CONCLUSIONS: EHCW possessed good knowledge in airway and resuscitation of COVID-19 patients, but differed between designations and LOS. A longer LOS was associated with better confidence, but there were some aspects in airway management and resuscitation that needed improvement.

    MeSH terms: Personal Protective Equipment*; Adult; Clinical Competence*; Cross-Sectional Studies; Emergency Service, Hospital; Female; Health Personnel*; Humans; Malaysia; Male; Middle Aged; Nurses; Physicians; Self Concept; Cardiopulmonary Resuscitation/methods*; Infection Control/methods*; Infectious Disease Transmission, Patient-to-Professional/prevention & control*; Young Adult; Airway Management/methods*
  11. Halim N, Kuntom A, Shinde R, Banerjee K
    J AOAC Int, 2020 Sep 01;103(5):1237-1242.
    PMID: 33241391 DOI: 10.1093/jaoacint/qsaa041
    BACKGROUND: Indaziflam (IND) is a herbicide that is used in palm oil plantations for broad spectrum management of weeds. Until now, no validated method has been available for residue estimation of this herbicide in palm oil products.

    OBJECTIVE: In this study, we report a rapid method for the residue analysis of IND and its metabolites, viz., IND-carboxylic acid, diaminotriazine, and triazine indanone in a wide range of palm oil matrices using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

    METHOD: The optimized sample preparation workflows included two options: (1) acetonitrile extraction (QuEChERS workflow), followed by freezing at -80°C and (2) acetonitrile extraction, followed by cleanup through a C18 solid phase extraction (SPE) cartridge. The optimized LC runtime was 7 min. All these analytes were estimated by LC-MS/MS multiple reaction monitoring.

    RESULTS: Both sample preparation methods provided similar method performance and acceptable results. The limit of quantification (LOQ) of IND, IND-carboxylic acid, and triazine indanone was 0.001 mg/kg. For diaminotriazine, the LOQ was 0.005 mg/kg. The method accuracy and precision complied with the SANTE/12682/2019 guidelines of analytical quality control.

    CONCLUSIONS: The potentiality of the method lies in a high throughput analysis of IND and its metabolites in a single chromatographic run with high selectivity and sensitivity. Considering its fit-for-purpose performance, the method can be implemented in regulatory testing of IND residues in a wide range of palm oil matrices that are consumed and traded worldwide.

    HIGHLIGHTS: This work has provided a validated method for simultaneous residue analysis of indaziflam and its metabolites in crude palm oil and its derived matrices with high sensitivity, selectivity, and throughput.

    MeSH terms: Acetonitriles; Chromatography, Liquid; Freezing; Herbicides; Indans; Indenes; Petroleum; Quality Control; Triazines; Solid Phase Extraction; Tandem Mass Spectrometry; Workflow; Plant Weeds
  12. Cao M, Liu Y, Yuan H, Qiu Y, Xie Q, Yi P, et al.
    J AOAC Int, 2020 Sep 01;103(5):1400-1405.
    PMID: 33241395 DOI: 10.1093/jaoacint/qsaa048
    BACKGROUND: Chewable areca products are popular in Asian countries, including India, Pakistan, Malaysia, and China. The major alkaloids present in areca products are guvacine, arecaidine, guvacoline, and arecoline which cause carcinogenicity and addiction.

    OBJECTIVE: The objective of this study was the quantitative analysis of the alkaloid content of areca chewable products from different countries and regions using HPLC-UV, as well as the benefit of their safety evaluation products.

    METHOD: An HPLC-UV method was established for qualitative and quantitative analyses of 65 batches of areca chewable products from different countries and regions. Additionally, similarity evaluation of chromatographic fingerprints was applied for data analysis.

    RESULTS: These results reveal a significant variation in the levels of areca alkaloids among tested products, specifically guvacoline (0.060-1.216 mg/g), arecoline (0.376-3.592 mg/g), guvacine (0.028-1.184 mg/g), and arecaidine (0.184-1.291 mg/g). There were significant differences in the alkaloid content of areca chewable products from different producing areas.

    CONCLUSIONS: The method will be useful in the safety evaluation of different areca chewable products.

    HIGHLIGHTS: The established HPLC-UV method can be adopted for safety evaluation of areca chewable products from different countries and regions due to its general applicability.

    MeSH terms: Alkaloids; Areca; Arecoline; China; Chromatography, High Pressure Liquid; India; Malaysia; Nicotinic Acids; Pakistan
  13. Hashim S, Ishak A, Muhammad J
    Korean J Fam Med, 2020 Nov;41(6):416-421.
    PMID: 33242382 DOI: 10.4082/kjfm.19.0060
    BACKGROUND: Breastfeeding is widely recognized as the optimal and natural method of feeding infants. However, there are obstacles that can limit exclusive breastfeeding practices during the first 6 months of an infant's life. This study aimed to determine the prevalence of unsuccessful exclusive breastfeeding and its associated factors among mothers who work as healthcare providers at Universiti Sains Malaysia Hospital.

    METHODS: A cross-sectional study was conducted among 295 medical doctors and staff nurses from June to December 2015. Simple random sampling was applied. The data were collected using a self-administered questionnaire and analyzed using IBM SPSS ver. 22.0 (IBM Corp., Armonk, NY, USA). Descriptive statistics and logistic regression analysis were performed.

    RESULTS: The prevalence of unsuccessful exclusive breastfeeding among the study participants was 58.3%. Mothers who preferred formula milk (odds ratio [OR], 4.40; 95% confidence interval [CI], 1.45-13.31) delivered via lower segment cesarean section (OR, 2.31; 95% CI, 1.07-4.98) and produced inadequate breast milk (OR, 4.06; 95% CI, 2.40- 6.89) were significantly associated with unsuccessful exclusive breastfeeding.

    CONCLUSION: The prevalence of unsuccessful exclusive breastfeeding among the study participants was high. Maternal characteristics such as preference towards formula milk, mode of delivery and adequacy of breast milk must be assessed to prevent unsuccessful exclusive breastfeeding among healthcare providers.

  14. Lal A, Sanaullah A, M Saleem MK, Ahmed N, Maqsood A, Ahmed N
    Eur J Dent, 2020 Dec;14(S 01):S27-S33.
    PMID: 33242914 DOI: 10.1055/s-0040-1718644
    OBJECTIVES:  The aim of this study was to evaluate psychological distress caused by the novel coronavirus disease 2019 (COVID-19) pandemic among the adult population residing in Pakistan.

    MATERIALS AND METHODS:  This cross-sectional survey-based study comprised 1,000 adults residing in Pakistan. A questionnaire was formulated and circulated among adult population of Pakistan, the depression and anxiety symptoms using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) scales were assessed.

    STATISTICAL ANALYSIS:  Independent t-test, cross tabulation, and regression analysis were used to identify variables having impact on PHQ-9 and GAD-7 scores. A p-value of ≤ 0.05 was considered statistically significant.

    RESULTS:  Among 1,000 participants, 573 were males and 427 were females who completed the survey. Majority were restricted to home for more than 40 days. Considerable number of participants reported depressive (540, 54%) and anxiety (480, 48%) symptoms. Gender, age, earnings, and occupation have significant relation with psychological distress, although similar was not found with education levels.

    CONCLUSION:  Psychological distress, a concerning yet addressable issue was found among adults arising amid COVID-19 outbreak. Currently, physical health effects of COVID-19 are being looked, while mental health effects being under-addressed. This issue should be addressed to avoid any psychological impact in future.

    MeSH terms: Adult; Anxiety; Anxiety Disorders; Cross-Sectional Studies; Depression; Female; Humans; Male; Mental Health; Occupations; Pakistan; Surveys and Questionnaires; Regression Analysis; Coronavirus; Pandemics
  15. Ong T, Sahota O, Gladman JRF
    Age Ageing, 2020 Oct 17.
    PMID: 33068103 DOI: 10.1093/ageing/afaa225
    INTRODUCTION: Acute vertebral fragility fracture requiring hospital admission is common, painful and disabling. No comprehensive clinical guideline for their care exists. To support the development of such a guideline, we sought the views of experts in the field.

    METHODS: A modified Delphi study was used. A total of 70 statements were presented, using an online platform, over three consensus-seeking rounds, to participants with experience in the hospital care of patients with acute vertebral fragility fractures from UK-based specialist societies. Participants rated the level of their agreement with each statement on a 5-point Likert scale. Consensus was defined at 70% of respondents choosing either agree/strongly agree or disagree/strong disagree. Over the first two rounds, statements not reaching consensus were modified in subsequent rounds, and new statements proposed by participants and agreed by the research team could be added.

    RESULTS: There were 71 participants in the first round, 37 in the second round and 28 (most of whom were geriatricians) in the third round. Consensus was reached in 52 statements covering fracture diagnosis, second-line imaging, organisation of hospital care, pain management and falls and bone health assessment. Consensus was not achieved for whether vertebral fragility fractures should be managed in a specific clinical area.

    DISCUSSION: These findings provide the basis for the development of clinical guidelines and quality improvement initiatives. They also help to justify research into the merits of managing acute vertebral fragility fracture patients in a specific clinical area.

    MeSH terms: Accidental Falls; Delphi Technique; Hospitals; Humans; Pain; Surveys and Questionnaires; Spine; Bone Density; Spinal Fractures; Consensus; Fractures, Bone; Quality Improvement; Pain Management; Geriatricians
  16. Saleh MSM, Siddiqui MJ, Mediani A, Ahmed QU, Mat So'ad SZ, Saidi-Besbes S, et al.
    Food Res Int, 2020 11;137:109547.
    PMID: 33233172 DOI: 10.1016/j.foodres.2020.109547
    Fruit of salak (Salacca zalacca) is traditionally used and commercialized as an antidiabetic agent. However, the scientific evidence to prove this traditional use is lacking. This research was aimed to evaluate the metabolic changes of obese-diabetic (OBDC) rats treated with S. zalacca fruit extract using proton-nuclear magnetic resonance (1H NMR)-based metabolomics approach. This research presents the first report on the in vitro antidiabetic effect of S. zalacca fruits extract using this approach. The obtained results indicated that the administration of 400 mg/kg bw of 60% ethanolic S. zalacca extract for 6 weeks significantly decreased the blood glucose level and normalized the blood lipid profile of the OBDC rats. The potential biomarkers in urine were 2-oxoglutarate, alanine, leucine, succinate 3-hydroxybutyrate, taurine, betaine, allantoin, acetate, dimethylamine, creatine, creatinine, glucose, phenyl-acetylglycine, and hippurate. Based on the data obtained, the 60% ethanolic extract could not fully improved the metabolic complications of diabetic rats. The extract of S. zalacca fruit was able to decrease the ketones bodies as 3-hydroxybutyrate and acetoacetate. It also improved energy metabolism, involving glucose, acetate, lactate, 2-hydroxybutyrate, 2-oxoglutarate, citrate, and succinate. Moreover, it decreased metabolites from gut microflora, including choline. This extract had significant effect on amino acid metabolism, metabolites from gut microflora, bile acid metabolism and creatine. The result can further support the traditional claims of S. zalacca fruits in management of diabetes. This finding might be valuable in understanding the molecular mechanism and pharmacological properties of this medicinal plant for managing diabetes mellitus.
    MeSH terms: Animals; Fruit*; Magnetic Resonance Spectroscopy; Obesity/drug therapy; Plant Extracts/pharmacology; Rats, Sprague-Dawley; Rats; Metabolomics*; Proton Magnetic Resonance Spectroscopy
  17. Pervaiz I, Saleem H, Sarfraz M, Imran Tousif M, Khurshid U, Ahmad S, et al.
    Food Res Int, 2020 11;137:109606.
    PMID: 33233202 DOI: 10.1016/j.foodres.2020.109606
    Calligonum polygonoides L. also known as famine food plant, is normally consumed in times of food scarcity in India and Pakistan and also used traditionally in the management of common diseases. The present design aims to provide an insight into the medicinal potential of four solvent extracts of C. polygonoides via an assessment of its phytochemical profile, antioxidant and enzyme inhibitory potential. Phytochemical composition was estimated by deducing total bioactive constituents, UHPLC-MS secondary metabolites profile, and HPLC phenolic quantification. Antioxidant potential was determined via six methods (radical scavenging (DPPH and ABTS), reducing power (FRAP and CUPRAC), phosphomolybdenum total antioxidant capacity and metal chelation activity). Enzyme inhibitory potential was assessed against clinical enzymes (acetylcholinesterase -AChE, butyrylcholinesterase -BChE, tyrosinase, and α-amylase). The highest amounts of phenolic contents were found in chloroform extract (76.59 mg GAE/g extract) which may be attributed to its higher radical scavenging, reducing power and tyrosinase inhibition potential. The n-butanol extract containing the maximum amount of flavonoids (55.84 mg RE/g extract) exhibited highest metal chelating capacity. Similarly, the n-hexane extract was found to be most active against AChE (4.65 mg GALAE/g extract), BChE (6.59 mg GALAE/g extract), and α-amylase (0.70 mmol ACAE/g extract) enzymes. Secondary metabolite assessment of the crude methanol extract as determined by UHPLC-MS analysis revealed the presence of 24 (negative ionization mode) and 15 (positive ionization mode) secondary metabolites, with most of them belonging to phenolic, flavonoids, terpene, and alkaloid groups. Moreover, gallic acid and naringenin were the main phenolics quantified by HPLC-PDA analysis in all the tested extracts (except n-butanol extract). PCA statistical analysis was also conducted to establish any possible relationship amongst bioactive contents and biological activities. Overall, the C. polygonoides extracts could be further considered to isolate bioactive enzyme inhibitory and antioxidant natural phytocompounds.
    MeSH terms: India; Pakistan; Plant Extracts*; Plants, Edible; Multivariate Analysis; Phytochemicals/analysis
  18. Saleem H, Zengin G, Ahmad I, Htar TT, Naidu R, Mahomoodally MF, et al.
    Food Res Int, 2020 11;137:109651.
    PMID: 33233230 DOI: 10.1016/j.foodres.2020.109651
    Anagallis arvensis (L.) is a wild edible food plant that has been used in folklore as a natural remedy for treating common ailments. This study aimed to explore the biochemical properties and toxicity of methanol (MeOH) and dichloromethane (DCM) extracts of A. arvensis (aerial and root parts). Bioactive contents were assessed spectrophotometrically, and the secondary metabolites were identified by UHPLC-MS analysis. DPPH, ABTS, FRAP, CUPRAC, phosphomolybdenum, and metal chelating assays were employed to assess antioxidant activity. Inhibitory potential against key enzymes (α-glucosidase, urease, lipoxygenase (LOX), acetylcholinesterase (AChE), and butyrylcholinesterase (BChE)) were also assessed. MTT assay was employed to test toxicity against SW-480, MDA-MB-231, CaSki, MCF-7, and DU-145 cancer cell lines. Methanolic extracts showed highest phenolic (aerial-MeOH: 27.5 mg GAE/g extract; root-MeOH: 21.17 mg GAE/g extract) and flavonoid (aerial-MeOH: 26.15 mg QE/g extract; root-MeOH: 19.07 mg QE/g extract) contents, and potent antioxidant activities. The aerial-MeOH extract was most potent for DPPH (IC50: 231 ug/mL), ABTS (131.12 mg TE/g extract), FRAP (82.97 mg TE/g extract), and CUPRAC (137.15 mg TE/g extract) antioxidant assays. All extracts were cytotoxic towards tested cancer cells with IC50 values ranging from 12.57 to 294.5 µg/mL and conferred a comparatively strong inhibition against α-glucosidase (aerial-DCM extract showed the highest inhibition against α-glucosidase with IC50 value of 20.97 µg /mL), while aerial extracts were also considerably active against BChE (aerial-MeOH IC50: 224.63 µg /mL), LOX (aerial-DCM IC50: 385.7 µg /mL). Likewise, aerial-MeOH extract was most active against urease enzyme (IC50: 129.72 µg /mL). UHPLC-MS investigation of methanolic extracts showed the existence of important phenolics, flavonoids, and saponins, including methyl gallte, quercetin, lanceoletin, and balanitesin, amongst others. Moreover, principal component analysis (PCA) highlighted the correlation amongst bioactive contents and observed biological activities. A. arvensis extracts could be regarded as a natural source of bioactive antioxidants, enzyme inhibitors and anticancer agents and can be further investigated as a lead source for food and pharmaceutical products. However, further studies to isolate, purify, and to characterize its bioactive phytochemicals are needed.
    MeSH terms: Antioxidants/toxicity; Plants, Edible; Anagallis*; Phytochemicals/toxicity
  19. Mohd Ali M, Hashim N, Abd Aziz S, Lasekan O
    Food Res Int, 2020 11;137:109675.
    PMID: 33233252 DOI: 10.1016/j.foodres.2020.109675
    Pineapple (Ananas comosus) is a tropical fruit that is highly relished for its unique aroma and sweet taste. It is renowned as a flavourful fruit since it contains a number of volatile compounds in small amounts and complex mixtures. Pineapple is also a rich source of minerals and vitamins that offer a number of health benefits. Ranked third behind banana and citrus, the demand for pineapple has greatly increased within the international market. The growth of the pineapple industry in the utilisation of pineapple food-based processing products as well as waste processing has progressed rapidly worldwide. This review discusses the nutritional values, physicochemical composition and volatile compounds, as well as health benefits of pineapples. Pineapple contains considerable amounts of bioactive compounds, dietary fiber, minerals, and nutrients. In addition, pineapple has been proven to have various health benefits including anti-inflammatory, antioxidant activity, monitoring nervous system function, and healing bowel movement. The potential of food products and waste processing of pineapples are also highlighted. The future perspectives and challenges with regard to the potential uses of pineapple are critically addressed. From the review, it is proven that pineapples have various health benefits and are a potential breakthrough in the agricultural and food industries.
    MeSH terms: Food Handling; Fruit; Nutritive Value; Odors/analysis; Ananas*
  20. Saraswati, Giriwono PE, Iskandriati D, Tan CP, Andarwulan N
    Food Res Int, 2020 Nov;137:109702.
    PMID: 33233276 DOI: 10.1016/j.foodres.2020.109702
    Sargassum brown seaweed is well-known to contain several bioactive compounds which exhibit various biological activities, including anti-inflammatory and antioxidant activity. Lipophilic extracts and fractions of Sargassum were reported to possess promising anti-inflammatory activity. This study, therefore, aims to evaluate the anti-inflammatory and antioxidant activity of Sargassum cristaefolium crude lipid extract and its fractions. The brown seaweed was obtained from Awur Bay, Jepara - Indonesia. Crude lipid fractionation was performed using normal phase column chromatography, and three different fractions (dichloromethane, acetone, methanol) were produced. The results showed that treatment of acetone fraction exerted strongest nitric oxide inhibition in lipopolysaccharide-induced RAW 264.7 cells, both in pre-incubated and co-incubated cell culture models. This outcome was in accordance with its 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging activity and ferric reducing antioxidant power (FRAP). Metabolite profiling of lipid fractions was performed by ultra-high-performance liquid chromatography electrospray ionization orbitrap tandem mass spectrometry, while the orthogonal projection to latent structures analysis was conducted to determine some features with significant correlation to the bioactivity. There were 14 feature candidates considered from both positive and negative ionization mode datasets. Seven out of them were putatively identified as pheophytin a (1), all-trans fucoxanthin (2), 132-hydroxy-pheophytin a (3), pheophorbide a (4), 1-hexadecanoyl-2-(9Z-octadecenoyl)-3-O-β-D-galactosyl-sn-glycerol (6), 1-(5Z,8Z,11Z,14Z,17Z-eicosapentaenoyl)-2-(9Z,12Z,15Z-octadecatrienoyl)-3-O-β-D-galactosyl-sn-glycerol (10), and 1-(9Z,12Z,15Z-octadecatrienoyl)-2-(6Z,9Z,12Z,15Z-octadecatetraenoyl)-3-O-β-D-galactosyl-sn glycerol (12).
    MeSH terms: Anti-Inflammatory Agents/pharmacology; Chromatography, High Pressure Liquid; Free Radicals; Indonesia; Lipids; Sargassum*; Tandem Mass Spectrometry
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