Browse publications by year: 2023

  1. Kalu IC, Curless MS, Ponnampalavanar S, Milstone AM, Ahmad Kamar A
    PMID: 37780684 DOI: 10.1017/ash.2023.415
    BACKGROUND: Hospitalized neonates are at high risk for hospital-associated bloodstream infections (HA-BSI) and require locally contextualized interventions to prevent HA-BSI.

    METHODS: The Preventing Infections in Neonates (PIN) collaborative aimed to reach a 50% decrease in neonatal HA-BSI rates for a 27-bed Level IV neonatal intensive care unit (NICU). Using quality improvement (QI) methodologies, a multidisciplinary cross-cultural collaborative implemented phased and bundled interventions from July 2017 to September 2019. Descriptive statistics and statistical process control charts were used to analyze infection rates.

    RESULTS: There were 916 admissions, 19,812 patient-days, and 4264 central line days in the NICU during the project period. Monthly baseline preintervention HA-BSI median rate was 3.95/1000 patient-days and decreased to 1.73/1000 patient-days (56% change) during the bundled interventions. Quarterly HA-BSI rates also decreased from the preintervention median of 4.5/1000 patient-days to 3.3/1000 patient-days during the intervention period (IRR 0.73; 95%CI 0.39, 1.36). Staff were highly compliant with hand hygiene and environmental cleaning. Through project efforts, compliance with bundle elements increased from 25% at baseline to a peak of 97% for central line (CL) insertion checklists and from 13% to a peak of 56% for CL maintenance checklists.

    CONCLUSIONS: Unit-based bundled interventions can reduce neonatal HA-BSI in limited resource settings. Future studies can assess similar practices in other units and the impact of the pandemic on interventions to reduce HA-BSIs.

  2. Zhao S, Akhter S
    Heliyon, 2023 Oct;9(10):e20373.
    PMID: 37780746 DOI: 10.1016/j.heliyon.2023.e20373
    COVID-19 has greatly affected various aspects of societies worldwide, including the mental health and quality of education for students. Different studies investigated the consequences of the pandemic, but only a few studies have addressed the negative psychological and educational impacts of Corona Virus Anxiety (CVA). This study addresses the effects of CVA on Chinese students and explores university perceptions of its consequences. A mixed-methods research design was used, with 440 university students selected through convenience sampling. The researchers used the CVA scale, generalized anxiety scale, mental health questionnaire, and a self-report scale to assess the students' educational attainment. In addition, 14 students were interviewed for the qualitative phase of the study. Data from the quantitative phase were analyzed using Pearson correlation and descriptive statistics, while content analysis techniques were employed for analyzing the qualitative data. Results showed that CVA is negatively associated with students' anxiety, stress, and depression. Furthermore, stress, anxiety, depression, and CVA were found to be negatively associated with students' GPAs. Qualitative findings revealed that CVA negatively affected students' GPAs, research projects, classroom engagement, and graduations. The findings are theoretically and practically important to universities, schools, and educational centers to avoid the effects of the CVA on students' educational attainment and mental health through appropriate planning and providing facilities to the students during the lockdown.
  3. Nor Mahiran SNS, Abd Kadir NH, Maulidiani M, Tengku Mohamad TR, Gooderham NJ, Alam M
    Heliyon, 2023 Oct;9(10):e20413.
    PMID: 37780749 DOI: 10.1016/j.heliyon.2023.e20413
    Palm oil is a vegetable oil that is widely used for cooking and deep-frying because of its affordability. However, repeatedly heated palm oil is also prone to oxidation due to its significant content of unsaturated fatty acids and other chemical toxicants such as glycidyl esters and 3-monochloropropane-1,2-diol (3-MCPD). Initially, the physicochemical properties such as colour, viscosity, peroxide, p-anisidine and total oxidation (TOTOX) of periodically heated palm oil were investigated. Chemical profiling and fingerprinting of six different brands of palm cooking oil during heating cycles between 90 and 360 min were conducted using Fourier transform infrared (FTIR) and 1H Nuclear Magnetic Resonance (NMR) metabolomics. In addition, the multivariate analysis was employed to evaluate the 1H NMR spectroscopic pattern of repeatedly heated palm oil with the corresponding physicochemical properties. The FTIR metabolomics showed significant different of the chemical fingerprinting subjected to heating duration, which in agreement with the result of 1H NMR metabolomics. Partial least squares (PLS) model revealed that most of the physicochemical properties of periodically heated palm oil are positively correlated (R2 values of 0.98-0.99) to their spectroscopic pattern. Based on the findings, the color of the oils darkened with increased heating time. The peroxide value (PV), p-anisidine value (p-AnV), and total oxidation (TOTOX) values increased significantly due to degradation of unsaturated compounds and oxidation products formed. We identified targeted metabolites (probable carcinogens) such as 3-monochloropropane-1,2-diol (3-MCPD) and glycidyl ester (GE), indicating the conversion of 3-MCPD to GE in repeatedly heated oils based on PCA and OPLSDA models. Our correlation analysis of NMR and physicochemical properties has shown that the conversion of 3-MCPD to GE was significantly increased from 180 to 360 min cooking time. The combination spectroscopic techniques with physicochemical properties are a reliable and robust methods to evaluate the characteristics, stability and chemical's structure changes of periodically heated palm oil, which may contribute to probable carcinogens development. This study has proven that combination of NMR and physicochemical analysis may predict the formation of the probable carcinogens of heated cooking oil over time which emphasizing the need to avoid certain heating cycles to mitigate formation of probable carcinogens during cooking process.
  4. Hamed SK, Ab Aziz MJ, Yaakub MR
    Heliyon, 2023 Oct;9(10):e20382.
    PMID: 37780751 DOI: 10.1016/j.heliyon.2023.e20382
    Currently, social networks have become the main source to acquire news about current global affairs. However, fake news appears and spreads on social media daily. This disinformation has a negative influence on several domains, such as politics, the economy, and health. In addition, it further generates detriments to societal stability. Several studies have provided effective models for detecting fake news in social networks through a variety of methods; however, there are limitations. Furthermore, since it is a critical field, the accuracy of the detection models was found to be notably insufficient. Although many review articles have addressed the repercussions of fake news, most have focused on specific and recurring aspects of fake news detection models. For example, the majority of reviews have primarily focused on dividing datasets, features, and classifiers used in this field by type. The limitations of the datasets, their features, how these features are fused, and the impact of all these factors on detection models were not investigated, especially since most detection models were based on a supervised learning approach. This review article analyzes relevant studies for the few last years and highlights the challenges faced by fake news detection models and their impact on their performance. The investigation of fake news detection studies relied on the following aspects and their impact on detection accuracy, namely datasets, overfitting/underfitting, image-based features, feature vector representation, machine learning models, and data fusion. Based on the analysis of relevant studies, the review showed that these issues significantly affect the performance and accuracy of detection models. This review aims to provide room for other researchers in the future to improve fake news detection models.
  5. Ajibade SM, Zaidi A, Bekun FV, Adediran AO, Bassey MA
    Heliyon, 2023 Oct;9(10):e20297.
    PMID: 37780782 DOI: 10.1016/j.heliyon.2023.e20297
    Climate change (CC) is one of the greatest threats to human health, safety, and the environment. Given its current and future impacts, numerous studies have employed computational tools (e.g., machine learning, ML) to understand, mitigate, and adapt to CC. Therefore, this paper seeks to comprehensively analyze the research/publications landscape on the MLCC research based on published documents from Scopus. The high productivity and research impact of MLCC has produced highly cited works categorized as science, technology, and engineering to the arts, humanities, and social sciences. The most prolific author is Shamsuddin Shahid (based at Universiti Teknologi Malaysia), whereas the Chinese Academy of Sciences is the most productive affiliation on MLCC research. The most influential countries are the United States and China, which is attributed to the funding activities of the National Science Foundation and the National Natural Science Foundation of China (NSFC), respectively. Collaboration through co-authorship in high-impact journals such as Remote Sensing was also identified as an important factor in the high rate of productivity among the most active stakeholders researching MLCC topics worldwide. Keyword co-occurrence analysis identified four major research hotspots/themes on MLCC research that describe the ML techniques, potential risky sectors, remote sensing, and sustainable development dynamics of CC. In conclusion, the paper finds that MLCC research has a significant socio-economic, environmental, and research impact, which points to increased discoveries, publications, and citations in the near future.
  6. Farheen F, Ambiger S, Jaalam K, Javali S
    J Lab Physicians, 2023 Dec;15(4):545-551.
    PMID: 37780882 DOI: 10.1055/s-0043-1768951
    Background  Because of cost effectiveness, most of the laboratories in India estimate low-density lipoprotein cholesterol (LDL-C) levels with the Friedewald's formula. There were many shortcomings of the Friedewald's formula. Recently, Martin and colleagues have derived a new formula for calculating LDL-C. The present study was undertaken to calculate LDL-C using various formulae (Friedewald's formula, Anandaraja's formula, and Martin's formula) and to compare directly measured LDL-C (D-LDL-C) with calculated LDL-C at various ranges of triglyceride (TG) concentration. Materials and Methods  The present study compared LDL-C measured by Martin's formula, Friedewald's formula, and Anandaraja's formula with D-LDL-C in 280 outpatient fasting samples between the age groups of 18 and 50 years. Depending on the TG values, study samples were divided into four groups. Group 1: less than 200 mg/dL; Group 2: 200 to 300 mg/dL; Group 3: 300 to 400 mg/dL; and Group 4: more than 400 mg/dL. Results  Martin's formula shows highest correlation with r -value of 0.9979 compared with Friedewald's (0.9857) and Anandaraja's (0.9683) r -values. The mean difference was least for Martin's formula (0.31 ± 3.53) compared with other formulae. Among all the groups, percentage of error was least for Martin's formula (0.23%). Martin's LDL-C shows highest concordance (90.90%) compared with Friedewald's (79.60%) and Anandaraja's formulae (82.90%). Conclusion  Among all the groups, Martin's formula shows highest correlation, least percentage of error, highest concordance, and least mean differences. At all TG levels, Martin's formula is the best formula compared with the Friedewald's formula and Anandaraja's formula.
  7. Shadisvaaran S, Chin KY, Mohd-Said S, Leong XF
    Front Nutr, 2023;10:1209248.
    PMID: 37781110 DOI: 10.3389/fnut.2023.1209248
    Chronic inflammation is the underlying mechanism for many diseases. Thus, inflammatory signaling pathways are valuable targets for new treatment modalities. Natural products have gained interest as a potential source of bioactive compounds which provide health benefits in combating inflammatory-related diseases. Recent reports have linked the medicinal values of Bixa orellana L. with its anti-inflammatory activities. Therefore, this review aims to examine the therapeutic potential of bixin, a major bioactive constituent found in the seeds of B. orellana, on inflammatory-related diseases based on existing in vitro and in vivo evidence. Additionally, the anti-inflammatory mechanism of bixin via signaling pathways is explored and possible toxic effects are addressed. The findings suggest that bixin may ameliorate inflammation via inhibition of toll-like receptor 4/nuclear factor-kappa B (TLR4/NF-κB), phosphoinositide 3-kinase/protein kinase B (PI3K/Akt) and thioredoxin-interacting protein/NOD-like receptor protein 3 (TXNIP/NLRP3) inflammasome mechanisms. More well-planned clinical studies should be performed to verify its effectiveness and safety profile.
  8. Subramanian A, Tamilanban T, Sekar M, Begum MY, Atiya A, Ramachawolran G, et al.
    Front Pharmacol, 2023;14:1212376.
    PMID: 37781695 DOI: 10.3389/fphar.2023.1212376
    Background: Excitotoxicity is a condition in which neurons are damaged/injured by the over-activation of glutamate receptors. Excitotoxins play a crucial part in the progression of several neurological diseases. Marsilea quadrifolia Linn (M. quadrifolia) is a very popular aquatic medicinal plant that has been utilised for a variety of therapeutic benefits since ancient times. Its chemical composition is diverse and includes phenolic compounds, tannins, saponins, flavonoids, steroids, terpenoids, alkaloids, carbohydrates and several others that possess antioxidant properties. Objective: The objective of the present study was to investigate the neuroprotective potential of M. quadrifolia against monosodium glutamate (MSG)-induced excitotoxicity in rats. Methods: A high-performance thin-layer chromatography (HPTLC) analysis of chloroform extract of M. quadrifolia (CEMQ) was conducted to identify the major constituents. Further, the in silico docking analysis was carried out on selected ligands. To confirm CEMQ's neuroprotective effects, the locomotor activity, non-spatial memory, and learning were assessed. Results and discussion: The present study confirmed that CMEQ contains quercetin and its derivatives in large. The in-silico findings indicated that quercetin has a better binding affinity (-7.9 kcal/mol) towards the protein target 5EWJ. Animals treated with MSG had 1) a greater reduction in the locomotor score and impairment in memory and learning 2) a greater increase in the blood levels of calcium and sodium and 3) neuronal disorganization, along with cerebral edema and neuronal degeneration in the brain tissues as compared to normal control animals. The changes were however, significantly improved in animals which received standard drug memantine (20 mg/kg) and CEMQ (200 and 400 mg/kg) as compared to the negative control. It is plausible that the changes seen with CEMQ may be attributed to the N-methyl-D-aspartate (NMDA) antagonistic properties. Conclusion: Overall, this study indicated that M. quadrifolia ameliorated MSG-induced neurotoxicity. Future investigations are required to explore the neuroprotective mechanism of M. quadrifolia and its active constituents, which will provide exciting insights in the therapeutic management of neurological disorders.
  9. Mirza MZ, Memon MA, Javaid MU, Arshad R
    Work, 2023 Sep 28.
    PMID: 37781850 DOI: 10.3233/WOR-230150
    BACKGROUND: Contemporary literature raises serious questions about the inclusion of negatively worded items in the safety climate scale. Despite these reservations, limited efforts have been made to address this shortcoming.

    OBJECTIVE: The present study aims to adapt and empirically validate the ten-items group-level safety climate scale with the purpose of replacing negatively worded items with positively worded ones after a thorough validation process. The present study is one of the first to propose an empirically validated group-level safety climate scale that uses positive items to measure the safety climate construct.

    METHODS: Study 1 was conducted using a sample of 135 participants. Study 2 used a time-lagged approach to validate the scale, with a sample of 173 production workers from six oil and gas organizations in Malaysia. The Partial Least Squares Structural Equation Modeling (PLS-SEM) method was used to test the hypothesized relationships.

    RESULTS: In Study 1, the results of the exploratory factor analysis showed good reliability for the revised scale. In Study 2, the results of the PLS-SEM analysis demonstrated a positive relationship between safety climate and safety behaviors, thereby validating the revised and translated scale of safety climate.

    CONCLUSION: The revised safety climate scale will not only improve data quality, but it will also increase response rates. Additionally, the revised scale will assist managers in understanding the true perceptions of safety climate in their organization, regardless of the cultural context in which the scale is used.

  10. Osei GY, Adu-Amankwaah J, Koomson S, Beletaa S, Asiamah EA, Smith-Togobo C, et al.
    Mol Biol Rep, 2023 Nov;50(11):9575-9585.
    PMID: 37776413 DOI: 10.1007/s11033-023-08810-w
    Colorectal cancer (CRC) is a serious global health concern, with a high incidence and mortality rate. Although there have been advancements in the early detection and treatment of CRC, therapy resistance is common. MicroRNAs (miRNAs), a type of small non-coding RNA that regulates gene expression, are key players in the initiation and progression of CRC. Recently, there has been growing attention to the complex interplay of miRNAs in cancer development. miRNAs are powerful RNA molecules that regulate gene expression and have been implicated in various physiological and pathological processes, including carcinogenesis. By identifying current challenges and limitations of treatment strategies and suggesting future research directions, this review aims to contribute to ongoing efforts to enhance CRC diagnosis and treatment. It also provides a comprehensive overview of the role miRNAs play in CRC carcinogenesis and explores the potential of miRNA-based therapies as a treatment option. Importantly, this review highlights the exciting potential of targeted modulation of miRNA function as a therapeutic approach for CRC.
    MeSH terms: Forecasting; Humans; Biomarkers, Tumor/genetics; Biomarkers, Tumor/metabolism; Gene Expression Regulation, Neoplastic/genetics; Gene Regulatory Networks/genetics; Carcinogenesis/genetics
  11. Mebarak M, Todd J, Coneo AMC, Muñoz-Alvis A, Polo-Vargas JD, De Los Reyes Aragón C, et al.
    Body Image, 2023 Dec;47:101631.
    PMID: 37776671 DOI: 10.1016/j.bodyim.2023.101631
    The 7-item Functionality Appreciation Scale (FAS) measures the extent of an individual's appreciation of their body for what it can do and is capable of doing. Although the FAS has been widely used in diverse linguistic contexts, it has not been previously translated into Spanish. Here, we examined the psychometric properties of a novel Spanish translation of the FAS in Colombian adults. A total of 1420 university students from Colombia (804 women, 616 men) completed the FAS, as well as additional validated measures. Exploratory and confirmatory factor analyses in separate subsamples supported a unidimensional model of FAS scores. The FAS evidenced scalar invariance across gender identity, with men having significantly higher FAS scores than women (Cohen's d = 0.18). FAS scores were also found to have adequate composite reliability, as well as adequate convergent (significant associations with body appreciation, appearance evaluation, and eating disorder psychopathology) and concurrent validity (significant associations with self-esteem, life satisfaction, and gratitude). Functionality appreciation incrementally predicted life satisfaction in women, but not in men. Overall, these results suggest that the Spanish FAS is a psychometrically valid and reliable tool for the assessment of functionality appreciation in university-aged populations from Colombia.
  12. Juri AZ, Song XF, Nakanishi Y, Dudley J, Jamieson L, Yin L
    J Mech Behav Biomed Mater, 2023 Nov;147:106132.
    PMID: 37776763 DOI: 10.1016/j.jmbbm.2023.106132
    Machining-induced surface fractures in ceramic restorations is a long-standing problem in dentistry, affecting the restorations' functionality and reliability. This study approached a novel ultrasonic vibration-assisted machining technique to zirconia-containing lithium silicate glass-ceramics (ZLS) and characterized its induced surface fracture topographies and morphologies to understand the microstructure-property-processing relations. The materials were processed using a digitally controlled ultrasonic milling machine at a harmonic vibration frequency with different amplitudes. Machining-induced surface fracture topographies were measured with a 3D white light optical profilometer using the arithmetic mean, peak and valley, and maximum heights, as well as the kurtosis and skewness height distributions, and the texture aspect ratios. Fracture morphologies were analysed using scanning electron microscopy (SEM). The surface fracture topographies were significantly dependent on the material microstructure, the mechanical properties, and the ultrasonic machining vibration amplitudes. Larger scale fractures with higher arithmetic mean, peak and valley heights, and kurtosis and skewness height distributions were induced in higher brittleness indexed pre-crystallized ZLS than lower indexed crystallized ZLS by conventional machining. Conchoidal fractures occurred in pre-crystallized ZLS while microcracks were found in crystallized state although brittle fractures mixed with localized ductile flow deformations dominated all machined ZLS surfaces. Ultrasonic machining at an ideal vibration amplitude resulted in more ductile removal, reducing fractured-induced peaks and valleys for both materials than conventional processing. This research demonstrates the microstructure-property-processing interdependence for ZLS materials and the novel machining technique to be superior to current processing, reducing fractures in the materials and potentially advancing dental CAD/CAM techniques.
  13. Khan A, Sapuan SM, Siddiqui VU, Zainudin ES, Zuhri MYM, Harussani MM
    Int J Biol Macromol, 2023 Dec 31;253(Pt 5):127119.
    PMID: 37776930 DOI: 10.1016/j.ijbiomac.2023.127119
    Kenaf fiber has recently garnered exponential interest as reinforcement in composite materials across diverse industries owing to its superior mechanical attributes, ease of manufacture, and inherent biodegradability. In the discourse of this review, various methods of manufacturing kenaf/Polylactic acid (PLA) composites have been discussed meticulously, as delineated in recently published scientific literatures. This paper delves into the chemical modification of kenaf fiber, examining its consequential impact on tensile strength and thermal stability of the kenaf/PLA composites. Further, this review illuminates the role of innovative 3D printing techniques and fiber orientation in augmenting the mechanical robustness of the kenaf/PLA composites. Simultaneously, recent insightful explorations into the acoustic properties of the kenaf/PLA composites, underscoring their potential as sustainable alternative to conventional materials have been reviewed. Serving as a comprehensive repository of knowledge, this review paper holds immense value for researchers aiming to utilize the capabilities of kenaf fiber reinforced PLA composites.
    MeSH terms: Industry; Polyesters; Plant Structures; Hibiscus*
  14. Zreaqat M, Hassan R, Samsudin AR, Alforaidi S
    Eur J Pediatr, 2023 Dec;182(12):5501-5510.
    PMID: 37777602 DOI: 10.1007/s00431-023-05226-3
    Twin-block appliance had been advocated as a potential treatment option in paediatric obstructive sleep apnoea (OSA) due to their favourable effect in enhancing upper airway parameters and improving OSA symptoms. The aim of this study was to evaluate the effect of twin-block appliance therapy on upper airway parameters/dimensions and the apnoea-hypopnea indexes (AHIs) in OSA children with class II mandibular retrognathic skeletal malocclusion using cone-beam computed tomography. This prospective longitudinal study comprised 34 polysomnography-proven OSA growing children with class II mandibular retrognathic skeletal malocclusion between the ages of 8 and 12 years who had completed myofunctional twin-block therapy and matched corresponding controls. The upper airway was segmented into the nasopharynx, oropharynx, and hypopharynx, and the effect of twin-bock treatment on upper airway parameters/dimensions was assessed pre- and posttreatment using CBCT analysis, while a second standard overnight PSG was performed to determine changes in the AHI. At the nasopharynx level, minimal (nonsignificant) increases in all variables were observed within the twin-block group and between the groups (P > 0.05). At the level of the oropharynx, all variables increased significantly in the treatment group and between groups (P 
    MeSH terms: Cephalometry/methods; Child; Humans; Longitudinal Studies; Malocclusion*; Prospective Studies; Spiral Cone-Beam Computed Tomography*
  15. Nurul-Aliyaa YA, Awang NA, Mohd MH
    Lett Appl Microbiol, 2023 Oct 04;76(10).
    PMID: 37777838 DOI: 10.1093/lambio/ovad118
    The present study was conducted to isolate and identify white rot fungi (WRF) from wood decayed and to determine their ability to produce lignin-modifying enzymes (LMEs), specifically laccase (Lac), lignin peroxidase (LiP), and manganese peroxidase (MnP), on solid and liquid media supplemented with synthetic dyes namely 2,2'-Azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), azure B, and phenol red. A total of 23 isolates of WRF were isolated from decayed wood and identified as eight different species namely Phanerochaete australis, Perenniporia tephropora, Lentinus squarrosulus, Ganoderma australe, Trametes polyzona, Lentinus sajor-caju, Gymnopilus dilepis, and Fomitopsis palustris based on morphological characteristics, DNA sequences of the internal transcribed spacer (ITS) region, and phylogenetic inference. The fungal isolates can be divided into four groups based on the type of LMEs produced, namely A (Lac-LiP-MnP) with 16 isolates, B (Lac-MnP) (three isolates), C (Lac) (three isolates), and D (MnP) (one isolate). This study highlights P. australis (BJ38) as the best producer of Lac and LiP, while L. squarrosulus (IPS72) is the best producer of MnP. The present study is the first reported P. australis as an efficient lignin degrader by demonstrating the highest activity of two important LMEs.
    MeSH terms: Phylogeny; Wood/metabolism; Laccase/genetics; Laccase/metabolism
  16. Junxian L, Mehrabanian M, Mivehchi H, Banakar M, Etajuri EA
    Oral Dis, 2023 Oct;29(7):2552-2564.
    PMID: 36004490 DOI: 10.1111/odi.14360
    OBJECTIVES: Periodontitis (PD) is one of the most common dental disorders. This chronic oral inflammation is caused by complicated interrelations between bacterial infections, dysregulated immune reactions, and environmental risk factors. A dysregulated immune response can lead to inflammatory bone resorption by allowing the recruitment of pro-inflammatory immune cells to the periodontal tissues.

    SUBJECTS: The recruitment of innate and adaptive immune cells in PD initiates the acute and following chronic inflammatory processes. The inflamed tissues, on the other hand, can be restored if the anti-inflammatory lineages are predominantly established in the periodontal tissues. Therefore, we aimed to review the published literature to provide an overview of the existing knowledge about the role of immune cells in PD, as well as their possible therapeutic applications.

    RESULTS: Experimental studies showed that drugs/systems that negatively regulate inflammatory cells in the body, as well as interventions aimed at increasing the number of anti-inflammatory cells such as Tregs and Bregs, can both help in the healing process of PD.

    CONCLUSION: Targeting immune cells or their positive/negative manipulations has been demonstrated to be an effective therapeutic method. However, to use this sort of immunotherapy in humans, further pre-clinical investigations, as well as randomized clinical trials, are required.

    MeSH terms: Anti-Inflammatory Agents/therapeutic use; Bone Resorption*; Homeostasis; Humans; Inflammation
  17. Azhany Y, Rahman WFWA, Jaafar H, Low JH, Yusuf WNW, Liza-Sharmini AT, et al.
    Int J Mol Sci, 2023 Apr 17;24(8).
    PMID: 37108535 DOI: 10.3390/ijms24087372
    Post-surgical scarring is a known cause of trabeculectomy failure. The aim of this study was to investigate the effectiveness of ranibizumab as an adjuvant anti-scarring agent in experimental trabeculectomy. Forty New Zealand white rabbits were randomised into four eye treatment groups: groups A (control), B (ranibizumab 0.5 mg/mL), C (mitomycin C [MMC] 0.4 mg/mL), and D (ranibizumab 0.5 mg/mL and MMC 0.4 mg/mL). Modified trabeculectomy was performed. Clinical parameters were assessed on post-operative days 1, 2, 3, 7, 14, and 21. Twenty rabbits were euthanised on day 7, and the other twenty were euthanised on day 21. Eye tissue samples were obtained from the rabbits and stained with haematoxylin and eosin (H&E). All treatment groups showed a significant difference in IOP reduction compared with group A (p < 0.05). Groups C and D showed a significant difference in bleb status on days 7 (p = 0.001) and 21 (p = 0.002) relative to group A. H&E staining showed significantly low fibrotic activity (p < 0.001) in group C on both days and inflammatory cell grade in group B on day 7 (p < 0.001). The grade for new vessel formation was significantly low in groups B and D on day 7 (p < 0.001) and in group D on day 21 (p = 0.007). Ranibizumab plays a role in reducing scarring, and a single application of the ranibizumab-MMC combination showed a moderate wound-modulating effect in the early post-operative phase.
    MeSH terms: Ranibizumab/pharmacology; Animals; Cicatrix/drug therapy; Intraocular Pressure; Rabbits; Trabeculectomy*; Mitomycin/therapeutic use
  18. Kim YJ
    Medicine (Baltimore), 2023 Sep 29;102(39):e35143.
    PMID: 37773837 DOI: 10.1097/MD.0000000000035143
    The objective of this study was to investigate the impact of the problem-based learning (PBL) method on Neurology education for Traditional Chinese Medicine (TCM) undergraduate students. This observational study was conducted during the 2020/02 and 2020/04 intakes of the third year TCM undergraduate students at School of Traditional Chinese Medicine, Xiamen University Malaysia. A total of 86 students were enrolled in the study and randomly assigned to either conventional learning groups or PBL groups. Students who missed more than 1 session of the course or did not complete the questionnaires during the evaluation periods were excluded from the study (n = 0). An independent sample t test was used to compare the results between the 2 groups, with a significance level set as P 
    MeSH terms: Humans; Learning; Medicine, Chinese Traditional; Neurology*; Students; Students, Medical*; Problem-Based Learning/methods
  19. Kabir MH, Nur-E-Alam SM, Datta A, Tan ML, Rahman MS
    PLoS One, 2023;18(9):e0292254.
    PMID: 37773932 DOI: 10.1371/journal.pone.0292254
    The use of pheromone traps can minimize the excess application of synthetic insecticides, while can also benefit the environment. The use of pheromone traps has been promoted and suggested to vegetable farmers of Bangladesh for widespread adoption. However, the majority of farmers have continued to spray insecticides instead of using pheromone traps. The present study investigated the factors influencing farmers' adoption, dis-adoption, and non-adoption behavior of pheromone traps for managing insect pests. Primary data were collected from 438 vegetable growers. Data were analyzed using descriptive statistics and multinomial logistic regression. About 27% of the farmers abandoned the technique shortly after it was adopted as it was time-consuming to manage insect pests. Marginal effect analysis revealed that the likelihood of continued adoption was 34.6% higher for farmers who perceived that pheromone traps were useful in controlling insect pests. In contrast, the likelihood of dis-adoption was 16.5% and 10.4% higher for farmers who maintained communication with private pesticide company agents and neighbor farmers, respectively. Extension services by government extension personnel might be encouraged and maintained as a key component in increasing farmer awareness regarding the use of pheromone trap. Strategies to promote pheromone traps in vegetable production should highlight the positive impacts to farmers and the environment, as this would most likely lead to their continued and widespread use after initial adoption.
    MeSH terms: Farmers; Agriculture; Animals; Humans; Insects; Pest Control, Biological; Pheromones/pharmacology; Vegetables
External Links