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Ahmad, M. A.

Publications and source records attributed to Ahmad, M. A..

3 recordsLinked to original sources

Comparative Study between In-silico and Clinical Works on the Control of Blood Glucose Level in People with Type 1 Diabetes using Improved Hovorka Equations

BackgroundHovorka model is one of the diabetic models which is widely used in the artificial pancreas device (APD) also known as closed loop system, meant for people with type 1 diabetes (T1D). Previous workers had modified some equations in the sub-sections of the Hovorka model, which is also known as improved Hovorka equations, in regulating the blood glucose level (BGL) within normoglycemic range (4.0 to 7.0 mmol/L). However, the improved Hovorka equations have not been tested yet in terms of its usability to regulate and control the BGL in safe range for two or more people with T1D. This study aims to simulate their BGL with meal disturbances for 24 hours using the improved Hovorka equations. MethodsData for people with T1D were obtained from Clinic 1, Clinical Training Centre (CTC), UiTM Medical Specialist Centre, Sungai Buloh, Selangor. Data collected include gender, age, body weight, mealtimes, meal amount, and duration. Three patients whose ages range from 11 to 14 years old were selected. All patients consumed three meals daily: breakfast, lunch, and dinner. The simulation (in-silico work) was done using MATLAB software, and the BGL profile from both in-silico and clinical works were compared and analysed. ResultsIt was revealed that the BGLs for all three people with T1D were far better in the in-silico work compared to the clinical work. The BGL for patient 1 was able to achieve normoglycaemia 73% of the time in the in-silico work. Meanwhile, patient 2 managed to stay in the normoglycemic range for 85% of the time in the in-silico work compared to clinical work, which was merely 31%. For Patient 3, the time duration spent in the normoglycemic range was only 16% in the in-silico work compared to none as in the clinical work. The p-values obtained in the study were less than 0.05, indicating that the in-silico work using the improved Hovorka equations was acceptable for predicting the BGL for people with T1D. ConclusionsIt can be concluded that the improved Hovorka equations are reliable in simulating the meal disturbances effect on BGL and increasing people in T1D times duration in the normoglycemic range compared to the clinical work.

systems biology↗

Responses of Agricultural plants to Lithium pollution: Trends, Meta-Analysis, and Perspectives

Lithium (Li) is gaining attention due to rapid rise of modern industries but their ultimate fingerprints on plants are not well established. Herein, we executed a meta-analysis of the existing recent literature investigating the impact of Li sources and levels on plant species under different growth conditions to understand the existing state of knowledge. Toxic effects of Li exposure in plants varies as a function of medium and interestingly, more negative responses are reported in hydroponic media as compared to soil and foliar application. Additionally, toxic effects of Li vary with Li source materials and LiCl more negatively affected plant development parameters such as plant germination (n=48) and root biomass (n=57) and recorded highly uptake in plants (n=78), while LiNO3 has more negative effects on shoot biomass. The Li at <50 mg L-1 concentrations significantly influenced the plant physiological indicators including plant germination and root biomass, while 50-500 mg L-1 Li concentration influence the biochemical parameters. The uptake potential of Li is dose dependent and their translocation/bioaccumulation remains unknown. Future work should include complete lifespan studies of the crop to elucidate the bioaccumulation of Li in edible tissues and to investigate possible trophic transfer of Li. Environmental significanceAccumulation of Li sources is increasing in ecosystem compartments, and this might be vulnerable to plants.

plant biology↗

Micro and Nanoplastics Interactions with Plant Species Trends, Meta-Analysis, and Perspectives

The ubiquitous presence of nano plastics (NPx) and micro plastics (MPx) in the environment has been demonstrated, and as such, the exposure scenarios, mechanisms of plant response, and ultimate risk must be determined. However, the current literature reports ambiguous outcomes and provides limited mechanistic insight into critical governing processes. Here, we performed a meta-analysis of the most recent literature investigating the effect of MPx/NPx on plant species under laboratory and field conditions so as to evaluate the current state of knowledge. Toxic effects of MPx/NPx exposure in plants varies as a function of plant species and interestingly, generally non-significant responses are reported in staple crops. NPx (<100 nm) more negatively affected plant development parameters (n=341) (n is total number of observations), photosynthetic pigments (n=80), and biochemical indicators (n=91) than did MPx (>100 nm). Surprisingly, NPx exposure yielded negligible effects on germination rate (n=17), although root morphology (n=45) was negatively affected. Alternatively, MPx negatively affected on germination (n= 27) and generally non-significant affect with regard to root morphology (n=64). The effect of MPx/NPx on plant health decreases with increasing exposure time. No specific trends were evident for the production of biochemical enzymes as related to MPx/NPx concentration or size. Future work should include crop full life cycle studies to highlight the accumulation of MPx/NPx in edible tissues and also to investigate potential trophic transfer of MPx/NPx. Furthermore, we provide a framework for additional investigative work to address these and other knowledge gaps and to enable accurate assessment of the fate and risk of these materials to environmental and human health. Environmental significanceAccumulation of plastic (MPx and NPx) particles is increasing in environmental compartments, and this might be threatened to agricultural plants. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC="FIGDIR/small/480069v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@c71fd2org.highwire.dtl.DTLVardef@fa1facorg.highwire.dtl.DTLVardef@1358c12org.highwire.dtl.DTLVardef@7f1851_HPS_FORMAT_FIGEXP M_FIG C_FIG

plant biology↗