The Risk for the Development of Diabetic Nephropathy: Interplay of Biochemical, Genetic, Nutritional and Lifestyle Factors

The recent unprecedented pandemic COVID-19 has blatantly exposed the healthcare system globally. The increasing rate of mortality and morbidity/co-morbidity were observed due to an interplay of COVID-19 infection with chronic diseases like diabetes, cancers, CVDs, respiratory and mental illness. According to World Health Organization, diabetes kills 1.7 million people annually. The prevalence and incidence of diabetes mellitus, representing >90% of all cases of diabetes and its complications, are increasing rapidly. The International Diabetes Federation has estimated that the number of people with diabetes is expected to rise from 366 million in 2011 to 552 million by 2030 if no urgent action is taken. Diabetes is a leading cause of kidney disease. About one in three adult diabetic patients has kidney disease, that is, diabetic nephropathy. In search for the risk and causes of diabetes and its complications such as diabetic nephropathy, research has now advanced to the molecular level. Genetics, epigenetics, genomics, proteomics, and metabolomics are opening ways to a new and deeper understanding of bodily processes and are providing the tools for more precisely targeted interventions when their function is disturbed. Similarly, tobacco use, physical inactivity, the harmful use of alcohol, and unhealthy diets all increase the risk of developing diabetic nephropathy. This chapter will focus on analyzing recently researched and published biochemical, genetic, nutritional, and lifestyle factors in various populations to ascertain the interplay of a wide variety of modifiable and non-modifiable factors, which will help delay and/or prevent the development of kidney disease in diabetes

Protective Effects of Salivary Factors in Dental Caries in Diabetic Patients of Pakistan

Salivary factors have been studied for their effects on the process of dental caries in patients of diabetes mellitus type 2. In this study, protective role of salivary pH, salivary flow rate, and salivary calcium is assessed in the patients of diabetes mellitus type 2 with dental caries. The samples of saliva were collected from 400 patients of diabetes mellitus type 2 and 300 age- and sex- matched controls after getting informed consent. All the subjects were classified into four groups according to age. The severity of dental caries was counted by decayed, missed, and filled teeth (DMFT) score. The salivary pH, flow rate, and calcium levels were found to be low in patients as compared to controls. The levels of fasting blood sugar, HbA1c, and DMFT score were found to be significantly high in patients than controls. The glycemic factors were significantly correlated with salivary factors indicating their influence on progression of caries in diabetes. On the basis of findings, it is concluded that the suitable salivary pH and flow rate may be regarded as main protective factors against dental caries in diabetes. Optimum level of salivary calcium may be responsible for continuous supply of calcium to arrest the demineralization and help reduce the occurrence of dental caries

Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI.

To understand brain function it is necessary to characterize both the underlying structural connectivity between neurons and the physiological integrity of these connections. Previous research exploring insect brain connectivity has typically used electron microscopy techniques, but this methodology cannot be applied to living animals and so cannot be used to understand dynamic physiological processes. The relatively large brain of the desert locust, Schistercera gregaria (Forksȧl) is ideal for exploring a novel methodology; micro diffusion magnetic resonance imaging (micro-dMRI) for the characterization of neuronal connectivity in an insect brain. The diffusion-weighted imaging (DWI) data were acquired on a preclinical system using a customised multi-shell diffusion MRI scheme optimized to image the locust brain. Endogenous imaging contrasts from the averaged DWIs and Diffusion Kurtosis Imaging (DKI) scheme were applied to classify various anatomical features and diffusion patterns in neuropils, respectively. The application of micro-dMRI modelling to the locust brain provides a novel means of identifying anatomical regions and inferring connectivity of large tracts in an insect brain. Furthermore, quantitative imaging indices derived from the kurtosis model that include fractional anisotropy (FA), mean diffusivity (MD) and kurtosis anisotropy (KA) can be extracted. These metrics could, in future, be used to quantify longitudinal structural changes in the nervous system of the locust brain that occur due to environmental stressors or ageing

Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI.

To understand brain function it is necessary to characterize both the underlying structural connectivity between neurons and the physiological integrity of these connections. Previous research exploring insect brain connectivity has typically used electron microscopy techniques, but this methodology cannot be applied to living animals and so cannot be used to understand dynamic physiological processes. The relatively large brain of the desert locust, Schistercera gregaria (Forksȧl) is ideal for exploring a novel methodology; micro diffusion magnetic resonance imaging (micro-dMRI) for the characterization of neuronal connectivity in an insect brain. The diffusion-weighted imaging (DWI) data were acquired on a preclinical system using a customised multi-shell diffusion MRI scheme optimized to image the locust brain. Endogenous imaging contrasts from the averaged DWIs and Diffusion Kurtosis Imaging (DKI) scheme were applied to classify various anatomical features and diffusion patterns in neuropils, respectively. The application of micro-dMRI modelling to the locust brain provides a novel means of identifying anatomical regions and inferring connectivity of large tracts in an insect brain. Furthermore, quantitative imaging indices derived from the kurtosis model that include fractional anisotropy (FA), mean diffusivity (MD) and kurtosis anisotropy (KA) can be extracted. These metrics could, in future, be used to quantify longitudinal structural changes in the nervous system of the locust brain that occur due to environmental stressors or ageing

Effect of School Library on Students’ Learning Attitude

The purpose of this study is to unfold the perceptions of school teachers about the importance of school libraries in developing academic attitude among students. It is an attempt to know the opinion of teachers, what they perceive about the effect of the sue of libraries. For this purpose, 560 school teachers (male= 280 and female=280) were selected randomly from 70 public sector boys (35) and girls (35) high schools of Lahore district, Pakistan. An opinionnaire consisting of 16 items based on five point Likert Scale was developed and pilot tested on 70 school teachers. The reliability coefficient value was α=0.9154. Finally, the data was analyzed by using descriptive statistics and t-test to compare the means at p<0.05 level of significance. The results indicated that male teachers are more in favor (mean= 66.64) than female teachers (mean= 63.91) about the fact that library has a significant role in developing learning attitude among students. They were selected because the teachers self fulfilling prophecy contributes a lot for the development of the child. Generally this area of consideration is almost neglected in Pakistani research circles. The focus of this study was to explore the facts in a novel way. What sort of differences are there in the opinion of male and female teachers regarding the library were also the questions to be answered in this stud

Seasonal influence on postoperative complications after total knee arthroplasty

Purpose: This study is aimed at investigating whether inpatient complications and surgical site infections (SSIs) occurred more commonly in patients undergoing total knee arthroplasty (TKA) during the summer season.Materials and Methods: A total of 725 patients who underwent unilateral or bilateral TKA were included in this study. A total of 241 patients (33.2%) underwent TKA between May and August. Our outcomes of interest were the incidence of postoperative complications and length of stay.Result: May-August surgeries were associated with a higher risk of postoperative inpatient complications (p=0.003). May-August surgeries (odds ratio [OR], 2.13; 95% confidence interval [CI], 1.18 to 3.85), postoperative transfusion (OR, 2.46; 95% CI, 1.43 to 4.26), postoperative special care unit stay (OR, 4.68; 95% CI, 1.99 to 11.0) and chronic kidney disease (OR, 3.27; 95% CI, 1.15 to 9.28) were associated with a higher odds of developing inpatient complications. No association was present between summer surgeries and SSIs (p=0.486).Conclusions: The results of this study show that overall complication rates following TKA exhibit a seasonal trend, with a peak during the summer months. These results may have some implication in clinical practice and stricter approaches to hospital guidelines during the summer months

Body Dysmorphic Disorder: Gender differences and prevalence in a Pakistani medical student population

<p>Abstract</p> <p>Background</p> <p>Body dysmorphic disorder (BDD) is a psychiatric disorder characterized by a preoccupation with an imagined or slight defect which causes significant distress or impairment in functioning. Few studies have assessed gender differences in BDD in a non clinical population. Also no study assessed BDD in medical students. This study was designed to determine the point prevalence of BDD in Pakistani medical students and the gender differences in prevalence of BDD, body foci of concern and symptoms of BDD.</p> <p>Methods</p> <p>The medical students enrolled in a medical university in Karachi, Pakistan filled out a self-report questionnaire which assessed clinical features of BDD. BDD was diagnosed according to the DSM-IV criteria.</p> <p>Results</p> <p>Out of the 156 students, 57.1% were female. A total of 78.8% of the students reported dissatisfaction with some aspect of their appearance and 5.8% met the DSM-IV criteria for BDD. The male to female ratio for BDD was 1.7. Regarding gender differences in body foci of concern, the top three reported foci of concern in male students were head hair (34.3%), being fat (32.8%), skin (14.9%) and nose(14.9%), whereas in females they were being fat (40.4%), skin (24.7%) and teeth (18%). Females were significantly more concerned about being fat (p = 0.005). Male students were significantly more concerned about being thin (p = 0.01) and about head hair (p = 0.012).</p> <p>Conclusion</p> <p>BDD is fairly common in our medical student population, with a higher prevalence in males. Important gender differences in BDD symptomatology and reported body foci of concern were identified which reflected the influence of media on body image perception. The impact of cultural factors on the prevalence as well as gender differences in BDD symptomatology was also established.</p

Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI

To understand brain function it is necessary to characterize both the underlying structural connectivity between neurons and the physiological integrity of these connections. Previous research exploring insect brain connectivity has typically used electron microscopy techniques, but this methodology cannot be applied to living animals and so cannot be used to understand dynamic physiological processes. The relatively large brain of the desert locust, Schistercera gregaria (Forksȧl) is ideal for exploring a novel methodology; micro diffusion magnetic resonance imaging (micro-dMRI) for the characterization of neuronal connectivity in an insect brain. The diffusion-weighted imaging (DWI) data were acquired on a preclinical system using a customised multi-shell diffusion MRI scheme optimized to image the locust brain. Endogenous imaging contrasts from the averaged DWIs and Diffusion Kurtosis Imaging (DKI) scheme were applied to classify various anatomical features and diffusion patterns in neuropils, respectively. The application of micro-dMRI modelling to the locust brain provides a novel means of identifying anatomical regions and inferring connectivity of large tracts in an insect brain. Furthermore, quantitative imaging indices derived from the kurtosis model that include fractional anisotropy (FA), mean diffusivity (MD) and kurtosis anisotropy (KA) can be extracted. These metrics could, in future, be used to quantify longitudinal structural changes in the nervous system of the locust brain that occur due to environmental stressors or ageing