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The purpose of this study was to examined the health effects of raw and cooked aqueous and methanol extracts of Vigna unguiculata on kidney function in Wistar rats.

Thirty-six Wistar rats (weighing 160 ± 10 g) were randomly assigned into nine (9) groups (n = 4). Group I (control): no extract. Groups II and III (aqueous extract of the cooked 350 mg/kg and 550 mg/kg). Groups IV and V (methanol extracts of cooked 350 mg/kg and 550 mg/kg). Groups VI and VII (methanol extracts of raw 350 mg/kg and 550 mg/kg). Groups VIII and IX (aqueous extract of raw 350 mg/kg and 550 mg/kg). After the seventh day of the trial, the rats were euthanized with chloroform, and blood samples were collected for biochemical analysis.

Results showed that the doses applied for cooked and raw V. unguiculata significantly (p < 0.05) enhanced kidney functions by increasing the body weight, glucose level, concentration of serum urea, creatinine, total protein, potassium and chloride in test groups compared with control. The packed cell volume and haemoglobin concentrations of raw aqueous extract at 550 mg/kg (36.5 ± 5.1; 12.3 ± 2.8) were significantly (p = 0.001) higher (29.8 ± 11.8; 10.3 ± 3.9) than the 350 mg/kg dose of the same extract, and cooked aqueous extract at 350 mg/kg dose was significantly (p = 0.001) higher (28.0 ± 10.1; 9.3 ± 3.4) than that of 550 mg/kg (25.8 ± 4.9; 8.8 ± 3.9) dose of the extracts.

The nutritional content of V. unguiculata potentially can augment the nutritional content of a diet and to a large extent, the regular consumers’ health. Essentially, V. unguiculata is composed of both macro and micronutrients capable of promoting normal kidney function.

The purpose of this paper is to assess nutritional status among children with extra-hepatic portal vein obstruction (EHPVO).

Forty six children with documented EHPVO with age and sex matched siblings and controls were selected from the Department of Gastroenterology, Sawai Man Singh Hospital, Jaipur. Nutritional assessment was done by anthropometry and dietary recall method (24-h dietary recall method). Height for age and BMI for age were compared with WHO standards.

An equal percentage of EHPVO patients, siblings and controls (4.34 percent) were stunted. Nearly 23.9 percent EHPVO patients and their siblings and 30.4 percent of controls were severely wasted. Similar proportion of subjects had MAMA<5th percentile. Dietary intake was similar between the study groups. Growth velocity was similar among the groups after one-year follow-up.

Data from India regarding EHPVO are very scarce from India. One study from Sarin et al. in 1992 reported EHPVO-affected children to be growth retarded. The present study, in contradiction to this study postulates that the affected children may not be growth retarded because of the disease but heredity and environmental factors may play a role.

Data on relationship between dietary intake of sodium and non-alcoholic fatty liver disease (NAFLD) risk are scarce. This paper aims to find the possible association between sodium intake and NAFLD.

This is a case-control study on NAFLD patients proven by a gastroenterologist using Fibroscan, and age-matched controls. Dietary intakes were assessed using a valid and reliable food frequency questionnaire.

In the multivariable-adjusted model, after adjustment for potential confounding variables, participants in the highest tertile of sodium intake had a greater risk of developing NAFLD (OR= 2.42; 95% CI: 1.13–5.15) compared to those in the lowest tertile of sodium intake (p-value = 0.023). In sub-analysis, subjects with BMI ≥ 25 in the third tertile of sodium intake had higher risk of NAFLD compared to those in the lowest tertile of sodium intake [(OR: 3.95; 95% CI: 1.75–8.90), (p-value = 0.001)]. However, no significant association was found between tertiles of energy-adjusted daily sodium intake and NAFLD prevalence risk in participants with BMI < 25.

The findings revealed that higher sodium intake is related with a higher prevalence of NAFLD, an association that can be partly mediated through obesity.

The purpose of this study is to assess the effects of two green leafy vegetables (Gongronema latifolium and Celosia argentea) on the hepatic biomarkers [Alanine Aminotransferase (ALT) and Aspartate Aminotransferase (AST)], cardiac biomarkers [Creatine Kinase (CK) and Lactate Dehydrogenase (LDH)] and histopathology of the heart of high-fat diet-induced hyperlipidemic rats, with the aim of evaluating the vegetables as functional foods.

Experimental diets consisted of Control Diet (CD), High-Fat Diet (HFD), High-Fat Diet with Blanched Celosia argentea (HCB), High-Fat Diet with Unblanched Celosia argentea (HCU), High-Fat diet with Blanched Gongronema latifolium (HGB) and High-Fat Diet with Unblanched Gongronema latifolium (HGU). Seventy-five albino male rats (weighing 180–200 g) were used. The animals were divided into 15 groups of five albino rats each. Animals in Groups 1, 2 and 3 were fed with CD, HFD only and HFD with Atorvastin (5 mg/kg b.w), respectively. Animals in Groups 4, 5 and 6 were fed with 5, 10 and 15% HCB, respectively. Animals in Groups 7, 8 and 9 were fed with 5, 10 and 15% HCU, respectively, whereas animals in Groups 10, 11 and 12 were fed with 5, 10 and 15% HGB, respectively, and animals in Groups 13, 14 and 15 were fed with 5, 10 and 15% diet-inclusion of HGU, respectively.

The incorporation of the vegetal matter into the diet brought about a significant reduction (p = 0.05) in the activities of ALT, AST, CK and LDH when compared with HFD. However, the histological examination showed no pathological lesion, only at 15% inclusion of the vegetables.

The paper established that the incorporation of Celosia argentea and Gongronema latifolium into diet, most especially at 15% inclusion, may serve as functional food in the management of hyperlipidemia and associated complications.

The increase in the number of healthcare wearable (Internet of Things) IoT options is making it difficult for individuals, healthcare experts and physicians to find the right smart device that best matches their requirements or treatments. The purpose of this research is to propose a framework for a recommender system to advise on the best device for the patient using machine learning algorithms and social media sentiment analysis. This approach will provide great value for patients, doctors, medical centers, and hospitals to enable them to provide the best advice and guidance in allocating the device for that particular time in the treatment process.

This data-driven approach comprises multiple stages that lead to classifying the diseases that a patient is currently facing or is at risk of facing by using and comparing the results of various machine learning algorithms. Hereupon, the proposed recommender framework aggregates the specifications of wearable IoT devices along with the image of the wearable product, which is the extracted user perception shared on social media after applying sentiment analysis. Lastly, a proposed computation with the use of a genetic algorithm was used to compute all the collected data and to recommend the wearable IoT device recommendation for a patient.

The proposed conceptual framework illustrates how health record data, diseases, wearable devices, social media sentiment analysis and machine learning algorithms are interrelated to recommend the relevant wearable IoT devices for each patient. With the consultation of 15 physicians, each a specialist in their area, the proof-of-concept implementation result shows an accuracy rate of up to 95% using 17 settings of machine learning algorithms over multiple disease-detection stages. Social media sentiment analysis was computed at 76% accuracy. To reach the final optimized result for each patient, the proposed formula using a Genetic Algorithm has been tested and its results presented.

The research data were limited to recommendations for the best wearable devices for five types of patient diseases. The authors could not compare the results of this research with other studies because of the novelty of the proposed framework and, as such, the lack of available relevant research.

The emerging trend of wearable IoT devices is having a significant impact on the lifestyle of people. The interest in healthcare and well-being is a major driver of this growth. This framework can help in accelerating the transformation of smart hospitals and can assist doctors in finding and suggesting the right wearable IoT for their patients smartly and efficiently during treatment for various diseases. Furthermore, wearable device manufacturers can also use the outcome of the proposed platform to develop personalized wearable devices for patients in the future.

In this study, by considering patient health, disease-detection algorithm, wearable and IoT social media sentiment analysis, and healthcare wearable device dataset, we were able to propose and test a framework for the intelligent recommendation of wearable and IoT devices helping healthcare professionals and patients find wearable devices with a better understanding of their demands and experiences.

The purpose of this paper is to investigate the restoration effect of camel's milk against methoxychlor induced liver toxicity.

The present study was carried out to investigate the restoration effect of camel's milk against methoxychlor induced liver toxicity.

Methoxychlor (MXC) caused a significant increase in serum transaminases (aspartate transaminase and alanine transaminase) and alkaline phosphatase, while MXC induced a significant reduction in total protein and albumin levels. MXC significantly inhibited lipid peroxidation and markedly enhanced glutathione in liver homogenate. Pathological damages as degeneration and coagulative necrosis of hepatocytes were established in liver. Newly formed bile ducteules denotes neoplastic changes in the portal tract with abnormal mitotic pattern were associated with the long-term exposure.

The present study concluded that camel milk treatment may play a protective role against methoxychlor-induced liver damage in rats.

Healthy diet and lifestyle have been shown to be important for obese patients in the management of diet‐related diseases especially in the improvement of cardiovascular disease risk indicators. The purpose of this paper is to determine the effects of a calorie‐restricted low‐fat diet on body weight, cardiovascular disease risk and liver function indicators in an obese, cardiology outpatient with type II diabetes.

A male, obese cardiology outpatient was assigned to a calorie‐restricted (6,694.4 kJ/d) low‐fat (not to exceed 20 per cent of total energy intake) diet for 12 weeks. His body mass index (BMI), blood pressure (BP), pulse rate, fasting glucose, total cholesterol, triglyceride, low‐density lipoprotein cholesterol, high‐density lipoprotein (HDL) cholesterol, alanine aminotranseferase, aspartate aminotranseferase (AST) concentration and TC/HDL ratio were measured prior to the start of the diet and during weeks four, eight and 12 of the diet.

The patient found it difficult making changes to his diet and only reduced his weight by 1 kg. He significantly reduced his serum triglyceride by about 20 per cent, TC/HDL ratio by 13 per cent and fasting blood glucose concentration by 31 per cent. However, there was no significant change in his BP, pulse rate, total and LDL cholesterol concentration. He also reduced his AST concentration by 20 per cent and alanine aminotranseferase (ALT) by 19 per cent.

This paper usefully shows how healthier food choices involving increased intake of fruits and vegetables and restricted intake of total and saturated fat reduced the risk of cardiovascular death in a male cardiology outpatient with type II diabetes.

It is well accepted that diabetes is associated with heart diseases and hyperlipidemia as a risk factor. In traditional medicines, some herbs such as Aloe vera seem to be effective in controlling diabetes. Owing to lack of human studies, this study aims to examine the effect of Aloe vera consumption on fasting blood sugar (FBS), lipid profiles and body composition in type 2 diabetic patients.

This double-blind, placebo-controlled trial study was conducted in 2019, in Shiraz, Iran. A total of 56 diabetic subjects were randomized by block randomization to receive a daily supplement of 1,000 mg Aloe vera powder capsules (n = 28) or placebo (n = 28) for eight weeks. At baseline and after eight weeks of treatment, dietary intake and physical activity were assessed by three-day food recall and international physical activity questionnaire. Meanwhile, after an overnight fasting, FBS and lipid profiles were measured. Blood pressure and anthropometric parameters were assessed in the beginning and the end of the study. Independent t-tests were used for between-group analysis and paired t-tests for within-group analysis.

After intervention, weight, body mass index and waist circumference significantly decreased in comparison to the placebo group (p-value: < 0.001, 0.001 and 0.02). Although, FBS, total triglyceride and systolic blood pressure decreased significantly (p-value: 0.03, 0.001 and 0.01), no change has been seen in low density lipoprotein, high density lipoprotein and total cholesterol blood level and diastolic blood pressure.

The limitations of this study are the short study duration and lack of Aloe vera powder’s ingredient analysis.

This study is one of few human studies investigating the effect of Aloe vera on metabolic syndrome’s indices in diabetic patients. Because pharmacological therapy is tough, not comfort and correlated with potential adverse drug interactions, it is important to find an alternative or complementary measure to aid the diabetic patients. This study shows that Aloe vera has positive effect on body weight and blood sugar.

Dementia in older persons with learning disabilities is a growing concern for all those involved in their care. There is at present no effective treatment, but the importance of current drug treatments is reviewed. Developments in drug treatments for dementia remain an active area of ongoing research.