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Fulltext Diabetes and cognitive decline: Challenges and future direction

Ab-Hamid N, Omar N, Ismail CAN, Long I

World J Diabetes, 2023 Jun 15;14(6):795-807.
PMID: 37383592 DOI: 10.4239/wjd.v14.i6.795

There is growing evidence that diabetes can induce cognitive decline and dementia. It is a slow, progressive cognitive decline that can occur in any age group, but is seen more frequently in older individuals. Symptoms related to cognitive decline are worsened by chronic metabolic syndrome. Animal models are frequently utilized to elucidate the mechanisms of cognitive decline in diabetes and to assess potential drugs for therapy and prevention. This review addresses the common factors and pathophysiology involved in diabetes-related cognitive decline and outlines the various animal models used to study this condition.
Fulltext The Influence of Ficus deltoidea in Preserving Alveolar Bone in Ovariectomized Rats

Omar NI, Baharin B, Lau SF, Ibrahim N, Mohd N, Ahmad Fauzi A, et al.

Vet Med Int, 2020;2020:8862489.
PMID: 33456747 DOI: 10.1155/2020/8862489

Ficus deltoidea has been shown to possess antioxidant properties that could prevent the development of chronic inflammatory bone diseases. In this study, the efficacy of F. deltoidea in preventing alveolar bone resorption in osteoporotic rats induced by ovariectomy (OVX) was investigated. Twenty-four female Wistar rats were divided into four groups (n = 6) consisting of sham-operated (SO), ovariectomized control (OVXN), ovariectomized treated with estrogen (OVXP), and ovariectomized treated with F. deltoidea extract (OVXF). At the beginning of the study, two nonovariectomized, healthy rats were sacrificed to serve as baseline (BL). Treatment of the rats commenced two weeks after ovariectomy-the OVXP rats that served as positive control received Premarin® (64.5 μg/kg body weight), while OVXF rats were given F. deltoidea (800 mg/kg body weight); both agents were administered orally for two months. The negative control group of rats (OVXN) and the SO group received deionized water, also administered via oral gavage. At necropsy, morphometric assessment of the interradicular bone of the first molar was carried out using a micro-CT scanner, while quantification of osteoclasts and osteoblasts was performed histologically. The results showed that no statistically significant differences among the groups (p > 0.05) for bone morphometric assessment. However, trabecular thickness in the OVXF group was similar to BL, while trabecular separation and alveolar bone loss height were lower than those of the OVXN group. Histologically, the OVXF group demonstrated a significantly lower number of osteoclasts and a higher number of osteoblasts compared with OVXN (p=0.008 and p=0.019, respectively; p < 0.05). In conclusion, F. deltoidea has the capacity to prevent alveolar bone loss in ovariectomy-induced osteoporosis rats by potentially preserving trabecular bone microarchitecture and to decrease osteoclast and increase osteoblast cell count.
Functionality among stroke survivors with upper limb impairment attending community-based rehabilitation

Omar NH, Mohd Nordin NA, Chai SC, Abdul Aziz AF

Med J Malaysia, 2020 03;75(2):146-151.
PMID: 32281596

INTRODUCTION: There is scarcity of research information on upper limb (UL) functionality among Malaysian post-stroke population despite the increasing number of stroke survivors. This study intends to evaluate functionality among stroke survivors residing in the community, with a specific focus on the UL.
METHODS: This cross-sectional study involved 65 stroke survivors with UL dysfunction (mean (SD) age = 64.83 (8.05) years, mean (SD) post-stroke duration 41.62 (35.24) months) who attended community-based rehabilitation program. Upper limb functionality was assessed using the UL items of Stroke Specific Quality of Life Scale (SSQOL), the Lawton Instrumental Activities of Daily Living (IADL) Scale and the Jebsen-Taylor Hand Function Test (JTHFT). The stroke survivors' performance in completing JTHFT using their affected dominant hand was compared with standard norms.
RESULTS: The three most affected UL daily living tasks were writing (64.7%, n=42), opening a jar (63.1%, n=41) and putting on socks (58.5%, n=38). As for IADL, the mean (SD) score of Lawton scale was 3.26 (2.41), with more than 50% unable to handle finance, do the laundry and prepare meals for themselves. Performances of stroke survivors were much slower than normal population in all tasks of JTHFT (p<0.05), with largest speed difference demonstrated for 'stacking objects' task (mean difference 43.24 secs (p=0.003) and 24.57 (p<0.001) in males and females, respectively.
CONCLUSION: UL functions are significantly impaired among stroke survivors despite undergoing rehabilitation. Rehabilitation professionals should prioritize highly problematic tasks when retraining UL for greater post-stroke functionality.
Amelioration of inflammation in young men with cardiovascular risks participating pedometer-based walking programme

Omar NO, Ahmad RA, Mohd Shah MS, Aminuddin AA, Chellappan KC

Med J Malaysia, 2021 05;76(3):375-381.
PMID: 34031337

INTRODUCTION: Inflammation plays a central role in the pathogenesis of cardiovascular events. The lack of exercise among Malaysians and the increasing cardiovascular diseases among young men are of concern. The aim of this study was to evaluate the reducing of inflammation by measuring C-Reactive protein (CRP), interleukin-6 (IL-6) and tumour necrosis factor-alpha (TNF-α).
MATERIALS AND METHODS: A total of 70 young men (20 - 40 years) who were sedentary, achieving less than 5,000 steps/day in casual walking with 2 or more cardiovascular risk factors were recruited in Institute of Vocational Skills for Youth (IKBN Hulu Langat). Subjects were randomly assigned to a control group (CG) (n=34; no change in walking) and pedometer group (PG) (n=36; minimum target: 8,000 steps/day). All parameter was measured at baseline, at 6 weeks and after 12 weeks.
RESULTS: At post intervention, the CG step counts were similar (4983 ± 366vs 5697 ± 407steps/day). The PG significant increased step count from 4996 ± 805 to 10,128 ±511 steps/day (p<0.001). The PG showed significant improvement in anthropometric variables and lipid (time and group effect p<0.001). After intervention, CRP, IL-6 and TNF- α were significantly reduced for time and group effect (p<0.001). However, no changes were seen in CG.
CONCLUSION: The pedometer-based walking programme improved health status in terms of improving inflammation and arterial stiffness.
Review of MR spectroscopy analysis and artificial intelligence applications for the detection of cerebral inflammation and neurotoxicity in Alzheimer's disease

Seriramulu VP, Suppiah S, Lee HH, Jang JH, Omar NF, Mohan SN, et al.

Med J Malaysia, 2024 Jan;79(1):102-110.
PMID: 38287765

INTRODUCTION: Magnetic resonance spectroscopy (MRS) has an emerging role as a neuroimaging tool for the detection of biomarkers of Alzheimer's disease (AD). To date, MRS has been established as one of the diagnostic tools for various diseases such as breast cancer and fatty liver, as well as brain tumours. However, its utility in neurodegenerative diseases is still in the experimental stages. The potential role of the modality has not been fully explored, as there is diverse information regarding the aberrations in the brain metabolites caused by normal ageing versus neurodegenerative disorders.
MATERIALS AND METHODS: A literature search was carried out to gather eligible studies from the following widely sourced electronic databases such as Scopus, PubMed and Google Scholar using the combination of the following keywords: AD, MRS, brain metabolites, deep learning (DL), machine learning (ML) and artificial intelligence (AI); having the aim of taking the readers through the advancements in the usage of MRS analysis and related AI applications for the detection of AD.
RESULTS: We elaborate on the MRS data acquisition, processing, analysis, and interpretation techniques. Recommendation is made for MRS parameters that can obtain the best quality spectrum for fingerprinting the brain metabolomics composition in AD. Furthermore, we summarise ML and DL techniques that have been utilised to estimate the uncertainty in the machine-predicted metabolite content, as well as streamline the process of displaying results of metabolites derangement that occurs as part of ageing.
CONCLUSION: MRS has a role as a non-invasive tool for the detection of brain metabolite biomarkers that indicate brain metabolic health, which can be integral in the management of AD.
Fulltext Recent Updates in Neuroprotective and Neuroregenerative Potential of Centella asiatica

Lokanathan Y, Omar N, Ahmad Puzi NN, Saim A, Hj Idrus R

Malays J Med Sci, 2016 Jan;23(1):4-14.
PMID: 27540320 MyJurnal

Centella asiatica, locally well known in Malaysia as pegaga, is a traditional herb that has been used widely in Ayurvedic medicine, traditional Chinese medicine, and in the traditional medicine of other Southeast Asian countries including Malaysia. Although consumption of the plant is indicated for various illnesses, its potential neuroprotective properties have been well studied and documented. In addition to past studies, recent studies also discovered and/or reconfirmed that C. asiatica acts as an antioxidant, reducing the effect of oxidative stress in vitro and in vivo. At the in vitro level, C. asiatica promotes dendrite arborisation and elongation, and also protects the neurons from apoptosis. In vivo studies have shown that the whole extract and also individual compounds of C. asiatica have a protective effect against various neurological diseases. Most of the in vivo studies on neuroprotective effects have focused on Alzheimer's disease, Parkinson's disease, learning and memory enhancement, neurotoxicity and other mental illnesses such as depression and anxiety, and epilepsy. Recent studies have embarked on finding the molecular mechanism of neuroprotection by C. asiatica extract. However, the capability of C. asiatica in enhancing neuroregeneration has not been studied much and is limited to the regeneration of crushed sciatic nerves and protection from neuronal injury in hypoxia conditions. More studies are still needed to identify the compounds and the mechanism of action of C. asiatica that are particularly involved in neuroprotection and neuroregeneration. Furthermore, the extraction method, biochemical profile and dosage information of the C. asiatica extract need to be standardised to enhance the economic value of this traditional herb and to accelerate the entry of C. asiatica extracts into modern medicine.
WITHDRAWN: Effect of post space conditioning and luting resin on the retentive strength of fiber-reinforced composite resin posts

Saker S, El-Kholany N, El-Gendy A, Fadhil ON, Maria OM

J Prosthet Dent, 2014 Apr 22.
PMID: 24767901 DOI: 10.1016/j.prosdent.2013.07.030

This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy.
Cytotoxicity of Fast-set Conventional and Resin-modified Glass Ionomer Cement Polymerized at Different Times on SHED

Mohd Zainal Abidin R, Luddin N, Shamsuria Omar N, Mohamed Aly Ahmed H

J Clin Pediatr Dent, 2015;39(3):235-40.
PMID: 26208068 DOI: 10.17796/1053-4628-39.3.235

To compare the cytotoxicity of conventional GIC and Resin Modified GIC (RMGIC) polymerized at 2 different times on stem cells from human exfoliated deciduous teeth (SHED).
Fulltext Clinicopathological features and immunohistochemical detection of antigens in acute experimental Streptococcus agalactiae infection in red tilapia (Oreochromis spp.)

Abdullah S, Omar N, Yusoff SM, Obukwho EB, Nwunuji TP, Hanan L, et al.

Springerplus, 2013;2:286.
PMID: 23961386 DOI: 10.1186/2193-1801-2-286

This study investigates the clinicopathological features of acute experimental streptococcosis in red tilapia using various routes of infection; intraperitoneal (IP), immersion (IM) and immersion cut (IC). Twenty four red tilapia in duplicates were inoculated intraperitoneally with 10(9) CFU/ml of S. agalactiae while another sets: intact, one with sharp cut at the tail end were exposed to bacterial inoculums 10(9) CFU/ml diluted in water while two groups of control fish were similarly manipulated. Clinical signs were recorded; samples from the gills, brain, eyes and kidneys were also taken for bacterial isolation and histopathology. Immunohistochemistry (IHC) and polymerase chain reaction (PCR) were employed to detect the antigen. The diseased fish showed skin, fin haemorrhages and exophthalmia with obvious signs in IP at 2 hpc followed by IC and IM at 4 hpc. The lesions were noticed earlier in the kidney and most severe in IP. IHC detected antigen as early as PCR and isolation with intense staining in blood vessel lumen and wall, macrophages in choroid, focal haemorrhage in the renal interstitium and meninges especially in IP followed by IC and IM. The immunolocalisation of the antigen described for the first time further explain the pathogenesis of streptococcosis in red tilapia.
Fulltext Development of an antigen-DNAzyme based probe for a direct antibody-antigen assay using the intrinsic DNAzyme activity of a daunomycin aptamer

Omar N, Loh Q, Tye GJ, Choong YS, Noordin R, Glökler J, et al.

Sensors (Basel), 2013;14(1):346-55.
PMID: 24379042 DOI: 10.3390/s140100346

G-Quadruplex (G-4) structures are formed when G-rich DNA sequences fold into intra- or intermolecular four-stranded structures in the presence of metal ions. G-4-hemin complexes are often effective peroxidase-mimicking DNAzymes that are applied in many detection systems. This work reports the application of a G-rich daunomycin-specific aptamer for the development of an antibody-antigen detection assay. We investigated the ability of the daunomycin aptamer to efficiently catalyze the hemin-dependent peroxidase activity independent of daunomycin. A reporter probe consisting of biotinylated antigen and daunomycin aptamer coupled to streptavidin gold nanoparticles was successfully used to generate a colorimetric readout. In conclusion, the daunomycin aptamer can function as a robust alternative DNAzyme for the development of colorimetric assays.
Fulltext Fabrication of 3D binder-free graphene NiO electrode for highly stable supercapattery

Agudosi ES, Abdullah EC, Numan A, Mubarak NM, Aid SR, Benages-Vilau R, et al.

Sci Rep, 2020 Jul 08;10(1):11214.
PMID: 32641769 DOI: 10.1038/s41598-020-68067-2

Electrochemical stability of energy storage devices is one of their major concerns. Polymeric binders are generally used to enhance the stability of the electrode, but the electrochemical performance of the device is compromised due to the poor conductivity of the binders. Herein, 3D binder-free electrode based on nickel oxide deposited on graphene (G-NiO) was fabricated by a simple two-step method. First, graphene was deposited on nickel foam via atmospheric pressure chemical vapour deposition followed by electrodeposition of NiO. The structural and morphological analyses of the fabricated G-NiO electrode were conducted through Raman spectroscopy, X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and energy dispersive X-ray spectroscopy (EDS). XRD and Raman results confirmed the successful growth of high-quality graphene on nickel foam. FESEM images revealed the sheet and urchin-like morphology of the graphene and NiO, respectively. The electrochemical performance of the fabricated electrode was evaluated through cyclic voltammetry (CV), galvanostatic charge-discharge (GCD), and electrochemical impedance spectroscopy (EIS) in aqueous solution at room temperature. The G-NiO binder-free electrode exhibited a specific capacity of ≈ 243 C g-1 at 3 mV s-1 in a three-electrode cell. A two-electrode configuration of G-NiO//activated charcoal was fabricated to form a hybrid device (supercapattery) that operated in a stable potential window of 1.4 V. The energy density and power density of the asymmetric device measured at a current density of 0.2 A g-1 were estimated to be 47.3 W h kg-1 and 140 W kg-1, respectively. Additionally, the fabricated supercapattery showed high cyclic stability with 98.7% retention of specific capacity after 5,000 cycles. Thus, the proposed fabrication technique is highly suitable for large scale production of highly stable and binder-free electrodes for electrochemical energy storage devices.
Fulltext Eyelid hook injury - A preventable domestic injury

Omar N, Salleh R

Saudi J Ophthalmol, 2009 Oct;23(3-4):219-20.
PMID: 23960864 DOI: 10.1016/j.sjopt.2009.10.007

The aim of this report is to describe the presentation and management of eyelid injury resulting from the hook of a rubber string. A seven-year-old boy presented with pain of the right upper eyelid. A rubber string with metal hook ends, snatched his right eye from below. The hook pierced through his upper eyelid from the conjunctival surface and remained in situ. However, there was no globe laceration noted. Removal was performed by reverse-tracking of the hook through the wound. The wound was stitched with 6'0 Vicryl sutures. Healing was excellent with minimal scarring.
Fulltext Primary Axillary Vein Leiomyosarcoma in Li-Fraumeni Syndrome

Roslly MZ, Omar N, Naim MS

Radiol Imaging Cancer, 2024 Jan;6(1):e230184.
PMID: 38276907 DOI: 10.1148/rycan.230184
Fulltext Harmony Search Algorithm for Word Sense Disambiguation

Abed SA, Tiun S, Omar N

PLoS One, 2015;10(9):e0136614.
PMID: 26422368 DOI: 10.1371/journal.pone.0136614

Word Sense Disambiguation (WSD) is the task of determining which sense of an ambiguous word (word with multiple meanings) is chosen in a particular use of that word, by considering its context. A sentence is considered ambiguous if it contains ambiguous word(s). Practically, any sentence that has been classified as ambiguous usually has multiple interpretations, but just one of them presents the correct interpretation. We propose an unsupervised method that exploits knowledge based approaches for word sense disambiguation using Harmony Search Algorithm (HSA) based on a Stanford dependencies generator (HSDG). The role of the dependency generator is to parse sentences to obtain their dependency relations. Whereas, the goal of using the HSA is to maximize the overall semantic similarity of the set of parsed words. HSA invokes a combination of semantic similarity and relatedness measurements, i.e., Jiang and Conrath (jcn) and an adapted Lesk algorithm, to perform the HSA fitness function. Our proposed method was experimented on benchmark datasets, which yielded results comparable to the state-of-the-art WSD methods. In order to evaluate the effectiveness of the dependency generator, we perform the same methodology without the parser, but with a window of words. The empirical results demonstrate that the proposed method is able to produce effective solutions for most instances of the datasets used.
Fulltext Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm

Al-Saffar A, Awang S, Tao H, Omar N, Al-Saiagh W, Al-Bared M

PLoS One, 2018;13(4):e0194852.
PMID: 29684036 DOI: 10.1371/journal.pone.0194852

Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. In this paper, a Malay sentiment analysis classification model is proposed to improve classification performances based on the semantic orientation and machine learning approaches. First, a total of 2,478 Malay sentiment-lexicon phrases and words are assigned with a synonym and stored with the help of more than one Malay native speaker, and the polarity is manually allotted with a score. In addition, the supervised machine learning approaches and lexicon knowledge method are combined for Malay sentiment classification with evaluating thirteen features. Finally, three individual classifiers and a combined classifier are used to evaluate the classification accuracy. In experimental results, a wide-range of comparative experiments is conducted on a Malay Reviews Corpus (MRC), and it demonstrates that the feature extraction improves the performance of Malay sentiment analysis based on the combined classification. However, the results depend on three factors, the features, the number of features and the classification approach.
Fulltext Question classification based on Bloom's taxonomy cognitive domain using modified TF-IDF and word2vec

Mohammed M, Omar N

PLoS One, 2020;15(3):e0230442.
PMID: 32191738 DOI: 10.1371/journal.pone.0230442

The assessment of examination questions is crucial in educational institutes since examination is one of the most common methods to evaluate students' achievement in specific course. Therefore, there is a crucial need to construct a balanced and high-quality exam, which satisfies different cognitive levels. Thus, many lecturers rely on Bloom's taxonomy cognitive domain, which is a popular framework developed for the purpose of assessing students' intellectual abilities and skills. Several works have been proposed to automatically handle the classification of questions in accordance with Bloom's taxonomy. Most of these works classify questions according to specific domain. As a result, there is a lack of technique of classifying questions that belong to the multi-domain areas. The aim of this paper is to present a classification model to classify exam questions based on Bloom's taxonomy that belong to several areas. This study proposes a method for classifying questions automatically, by extracting two features, TFPOS-IDF and word2vec. The purpose of the first feature was to calculate the term frequency-inverse document frequency based on part of speech, in order to assign a suitable weight for essential words in the question. The second feature, pre-trained word2vec, was used to boost the classification process. Then, the combination of these features was fed into three different classifiers; K-Nearest Neighbour, Logistic Regression, and Support Vector Machine, in order to classify the questions. The experiments used two datasets. The first dataset contained 141 questions, while the other dataset contained 600 questions. The classification result for the first dataset achieved an average of 71.1%, 82.3% and 83.7% weighted F1-measure respectively. The classification result for the second dataset achieved an average of 85.4%, 89.4% and 89.7% weighted F1-measure respectively. The finding from this study showed that the proposed method is significant in classifying questions from multiple domains based on Bloom's taxonomy.
Fulltext A normalization model for repeated letters in social media hate speech text based on rules and spelling correction

Mansur Z, Omar N, Tiun S, Alshari EM

PLoS One, 2024;19(3):e0299652.
PMID: 38512966 DOI: 10.1371/journal.pone.0299652

As social media booms, abusive online practices such as hate speech have unfortunately increased as well. As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. Therefore, this study developed an improved model for normalizing OOV words with repeated letters by replacing them with correct in-vocabulary (IV) replacement words. The improved normalization model is an unsupervised method that does not require the use of a special dictionary or annotated data. It combines rule-based patterns of words with repeated letters and the SymSpell spelling correction algorithm to remove repeated letters within the words by multiple rules regarding the position of repeated letters in a word, be it at the beginning, middle, or end of the word and the repetition pattern. Two hate speech datasets were then used to assess performance. The proposed normalization model was able to decrease the percentage of OOV words to 8%. Its F1 score was also 9% and 13% higher than the models proposed by two extant studies. Therefore, the proposed normalization model performed better than the benchmark studies in replacing OOV words with the correct IV replacement and improved the performance of the detection model. As such, suitable rule-based patterns can be combined with spelling correction to develop a text normalization model to correctly replace words with repeated letters, which would, in turn, improve hate speech detection in texts.
Fulltext Frailty Intervention through Nutrition Education and Exercise (FINE). A Health Promotion Intervention to Prevent Frailty and Improve Frailty Status among Pre-Frail Elderly-A Study Protocol of a Cluster Randomized Controlled Trial

Mohd Suffian NI, Adznam SN', Abu Saad H, Chan YM, Ibrahim Z, Omar N, et al.

Nutrients, 2020 Sep 10;12(9).
PMID: 32927741 DOI: 10.3390/nu12092758

The ageing process has been associated with various geriatric issues including frailty. Without early prevention, frailty may cause multiple adverse outcomes. However, it potentially may be reversed with appropriate interventions. The aim of the study is to assess the effectiveness of nutritional education and exercise intervention to prevent frailty among the elderly. A 3-month, single-blind, two-armed, cluster randomized controlled trial of the frailty intervention program among Malaysian pre-frail elderly will be conducted. A minimum of total 60 eligible respondents from 8 clusters (flats) of Program Perumahan Rakyat (PPR) flats will be recruited and randomized to the intervention and control arm. The intervention group will receive a nutritional education and a low to moderate multi-component exercise program. To date, this is the first intervention study that specifically targets both the degree of frailty and an improvement in the outcomes of frailty using both nutritional education and exercise interventions among Malaysian pre-frail elderly. If the study is shown to be effective, there are major potential benefits to older population in terms of preventing transition to frailty. The findings from this trial will potentially provide valuable evidence and serve as a model for similar future interventions designed for elderly Malaysians in the community.
Fulltext Comparison of Structured Nutrition Therapy for Ramadan with Standard Care in Type 2 Diabetes Patients

Mohd Yusof BN, Wan Zukiman WZHH, Abu Zaid Z, Omar N, Mukhtar F, Yahya NF, et al.

Nutrients, 2020 Mar 19;12(3).
PMID: 32204476 DOI: 10.3390/nu12030813

(1) Background: Structured nutrition therapy (NT) is essential for the management of type 2 diabetes (T2D), but the optimal delivery during Ramadan fasting remains unclear. The present study aimed to evaluate the effect of structured NT program versus standard care in patients with T2D during Ramadan. (2) Methods: The present study was an 8-week, parallel, non-randomized study with patients' preference design involving 64 patients with T2D. The participants were asked to choose their preferred group, i.e., structured NT (Structured Ramadan NT, sRNT) or standard care (SC). The participants in the sRNT group received a Ramadan-focused nutrition plan, including a diabetes-specific formula throughout the study, whereas the patients in the SC group received standard nutrition care. Study outcomes included clinical outcomes and quality of life (QoL). Data was analyzed using two-way repeated-measures ANOVA and linear mixed-effects model. (3) Results: More than half of the participants (n = 38, 63%) chose sRNT as their preferred group. Both groups had comparable baseline characteristics. After 8-weeks of the respective intervention, participants in the sRNT group had lower levels of fasting plasma glucose (-0.9 ± 0.3 mmol/L vs. 0.2 ± 0.3 mmol/L, p < 0.05), triglycerides (-0.21 ± 0.08 mmol/L vs. 0.20 ± 0.17 mmol/L, p < 0.05), and self-monitoring glucose at pre-dawn (6.9 mmol/L vs. 7.8 mmol/L, p < 0.05) and pre-bedtime (7.6 mmol/L vs. 8.6 mmol/L, p < 0.05) than participants in the SC group. Although not different between groups, HbA1c levels decreased significantly in the sRNT (-0.72 ± 0.16%, p < 0.001) but not in the SC group (-0.35 ± 0.24%, p = 0.155). QoL and satisfaction scores improved significantly in sRNT group, but not in SC group. (4) Conclusions: The structured NT regimen for Ramadan is a feasible and beneficial program for T2D patients observing Ramadan fasting as it showed an improvement in clinical outcomes and QoL.
Fulltext Reduced fibrinogen, fibrinolytic biomarkers, and physical parameters after a weight-loss program in obese subjects

Aziz CB, Omar N, Abdullah WZ, Jalil RA, Nik WS, Zakaria R

N Am J Med Sci, 2014 Aug;6(8):377-82.
PMID: 25210670 DOI: 10.4103/1947-2714.139286

Obese subjects are at risk of multiple comorbidities including stroke and coronary heart disease (CHD), which is partly due to disturbances in the hemostatic system.

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