Hematological Parameters as an Early Marker of Deep Vein Thrombosis in Diabetes Mellitus: An Observational Study.

Background Although the association between the presence of diabetes mellitus and the development of deep vein thrombosis (DVT) is well known, the role of novel biomarkers in predicting the development of DVT in diabetic patients is not yet known to a large extent. Studies have shown that complete blood count (CBC) and CBC-derived parameters such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) can be used as surrogate markers to detect DVT. This study was conducted to assess the utility of NLR and PLR as a marker of DVT in diabetic patients. Methodology This case-control study was conducted among a calculated sample size of 109 DVT patients in one arm and 109 non-DVT patients in another arm. Hematological tests including total leucocyte count, differential leucocyte count, total neutrophil count, total lymphocyte count, total platelet count, NLR, and PLR were performed. Results We found a significant difference in NLR and PLR between the DVT and the non-DVT groups. In addition, we found that NLR and PLR were significantly higher in the diabetic group, indicating the presence of inflammation in association with diabetes mellitus. Analysis of the receiver operating characteristic curve showed that at a cut-off value of 2.83, NLR can detect DVT in diabetic patients with 67% sensitivity and 92% specificity. Similarly, PLR at a cut-off value of 131.46 can detect DVT in diabetic patients with 56% sensitivity and 90% specificity. Conclusions We conclude that NLR and PLR are novel inflammatory markers that can help in the early detection of DVT in diabetic patients.

Association of peripheral neuropathy with skeletal muscle mass and function in type two diabetes mellitus patients: A cross-sectional study.

BACKGROUND & OBJECTIVE: Diabetic peripheral neuropathy (DPN) is considered to be a risk factor for development of sarcopenia. Therefore, our study aimed to detect the association between peripheral neuropathy with skeletal muscle mass and function in type two diabetes mellitus (T2DM) patients. METHODS: A total of 176 participants, ≥45 years were included in the study. Out of 176, 60 were healthy volunteers, 60 had T2DM without neuropathy, 56 had T2DM with neuropathy. In all the participants peripheral nerve function was assessed by nerve conduction studies (Common peroneal and Sural nerve) and sarcopenia parameters were evaluated according to the Asian Working Group for Sarcopenia (AWGS) criteria. RESULTS: The present study suggested that diabetic peripheral neuropathy (DPN) was associated with decline in muscle mass, which was found only in men. Our study showed a positive correlation between appendicular skeletal muscle index (ASMI) and common peroneal nerve amplitude and sural nerve amplitude with r=0.527, p<0.05; r=0.847, p<0.001 respectively. Furthermore, in multiple linear regression analyses, we found a positive relationship between ASMI and sural nerve amplitude after adjustment for confounders like age, duration of diabetes, and HbA1C (B=0.739; p<0.001). CONCLUSION: As DPN patients are more prone to developing sarcopenia, and periodic assessment of skeletal muscle mass and function is warranted to initiate early lifestyle interventions in these patients, which will improve their quality of life.

Identification of Candidate Immune System MicroRNAs Differentially Found in Colostrum and Milk Exosomes.

BACKGROUND: The fetus grows in a sterile womb environment. After birth, the newborn immune system has two immediate hurdles to clear. First immediate suppression of the womb compatible immune system and turn on the immune system of the newborn that can counter the antigenic world. The underlying mechanism of immune fluctuation by milk microRNAs (miRNAs) can be crucial for the treatment of critical or premature newborn. METHODS: We collected fourteen samples of each colostrum and mature milk from lactating mothers, four samples of each were used for microarray analysis, and the other ten were used for miRNA expression profiling by real-time PCR. RESULTS: From the microarray, 154 differentially expressed miRNAs were identified, whereas 49 miRNAs were revealed as immune-related miRNAs based on a literature study. Among the 49 miRNAs, 33 were already shown as strongly validated immune-related miRNAs (validated by qPCR, Western Blot, and Luciferase assay) and were considered for further analysis. Twenty-two miRNA expressions were analysed by real-time PCR as their Ct values were within considerable limits. Twelve numbers of miRNAs were significantly downregulated in mature milk compared to colostrum, which were again subjected to bioinformatics analysis to predict the biological mechanisms behind the differentially expressed miRNAs. CONCLUSION: This study shed light on the human milk exosome miRNA expression dynamics during lactation and their possible role in the gradual skewing of the newborns' immune system. The information is crucial for the development and onset of sepsis in premature newborns in the NICU.

Sarcopenia: An Age-Related Multifactorial Disorder.

Sarcopenia is a disease characterized by a gradual decline in skeletal muscle mass and strength that accompanies the normal aging process. The disease is associated with various adverse health outcomes in the geriatric population, such as prolonged hospital admission, disability, poor quality of life, frailty, and mortality. Factors involved in the development of age-related sarcopenia include anorexia, hormone level alterations, decreased neural innervation, low muscular blood flow, cytokine dysregulation, altered mitochondrial activity, genomic instability, intracellular proteolysis, and insulin resistance. Understanding the underlying mechanisms may facilitate the development of efficient prophylactic and therapeutic strategies to improve the quality of life in elderly individuals. Thus, the present review highlights literature regarding the mechanism of sarcopenia development in elderly patients.

Impact of yoga intervention on menopausal symptoms-specific quality of life and changes in hormonal level among menopausal women.

AIM: The menopause transition is experienced by women often involves troublesome symptoms due to changes in the level of reproductive hormones. Non-hormonal therapies are more commonly accepted by women than hormonal therapy for coping with the climacteric symptoms. The aim of the study was to evaluate the effects of yoga practice on menopausal symptoms, specific quality of life, and changes in hormonal levels among menopausal women. METHOD: A single-blinded randomized control trial was conducted among 80 participants aged 40 of 50 years and was randomly divided into two study arms, that is, Sudarshan Kriya Yoga (SKY) and brisk walking intervention, to find the effect on the hormonal changes and menopausal quality of life (measured by MENQOL tool). The significant improvements in the outcome measures were measured by using repeated measures analysis of variance and McNemar's test. RESULTS: Significant improvements in the menopausal-specific quality of life were observed in the domain of vasomotor, psychosocial, and physical symptoms (p < 0.05). The antioxidant enzymes (superoxide dismutase and glutathione peroxidase (GPX) were significantly elevated after 1 year of regular practice of SKY compared to walking intervention (p < 0.05). In contrast, no significant improvement was observed in follicle-stimulating hormone and dehydroepiandrosterone sulfate levels. The women reported no adverse events after SKY practice or brisk walking. CONCLUSION: The study concluded that 1 year of SKY practice could be one of the preferred non-hormonal, lifestyle-modifying regimens for improving the overall quality of life in menopausal women.

Glycogen Accumulation in Neutrophil Can Be a Marker of Sepsis.

BACKGROUND: Sepsis, a systemic inflammatory reaction to infection, is the leading cause of death in the world. The early detection and identification of pro-inflammatory changes in overall metabolism and functioning can help in the proper intervention and control of the inflammatory state, and it will improve the prognosis. AIM: In a resource-limited setting where the biomarkers are not easily accessible, this simple technique is required that can help in the early identification of infection and inflammation. METHODOLOGY: The present study was conducted to find the change in glycogen accumulation and morphological changes during inflammation by preparing a peripheral smear and periodic acid-Schiff (PAS) staining. RESULTS: This study shows that the neutrophil accumulates glycogen granules throughout the cytoplasm with the presence of vacuoles in the cytoplasm, thus increasing the neutrophil size and chromatin dispersion. CONCLUSION: PAS staining can be used as a diagnostic method to detect sepsis.

In Vitro Anticancer Activity of Virgin Coconut Oil and its Fractions in Liver and Oral Cancer Cells.

BACKGROUND: Coconut oil is an edible oil obtained from fresh, mature coconut kernels. Few studies have reported the anticancer role of coconut oil. The fatty acid component of coconut oil directly targets the liver by portal circulation and as chylomicron via lymph. However, the anti-cancer activity of coconut oil against liver cancer cells and oral cancer cells is yet to be tested. The active component of coconut oil, that is responsible for the anticancer activity is not well understood. In this study, three different coconut oils, Virgin Coconut Oil (VCO), Processed Coconut Oil (PCO) and Fractionated Coconut Oil (FCO), were used. OBJECTIVE: Based on previous studies, it can be hypothesized that fatty acids in coconut oil may have anticancer potential and may trigger cell death in cancer cell lines. METHODS: Each cell line was treated with different concentrations of Virgin Coconut Oil (VCO), Processed Coconut Oil (PCO) and Fractionated Coconut Oil (FCO). The treated cells were assayed by MTT after 72 hr of incubation. The fatty acid composition of different coconut oils was analyzed by gas chromatography. RESULT: Different concentrations of coconut oils were used to treat the cells. Interestingly, the anticancer efficacy of VCO, PCO and FCO was not uniform, rather the efficacy varied from cell line to cell line. Only 20% VCO showed significant anticancer activity in HepG2 cells in comparison to 80% PCO against the KB cell line. Remarkably, 20% of PCO and 5% of FCO showed potential growth inhibition in the KB cell line as compared to 80% PCO in HepG2 cells. Moreover, there was a difference in the efficacy of VCO, PCO and FCO, which might be due to their fatty acid composition. Comparing the anticancer efficacy of VCO, PCO and FCO in this study helped to predict which class of fatty acids and which fatty acid might be associated with the anticancer activity of VCO. CONCLUSION: This study shows that VCO, PCO and FCO have anticancer efficacy and may be used for the treatment of cancer, especially liver and oral cancer.

Understanding perception of active noise control system through multichannel EEG analysis.

In this Letter, a method is proposed to investigate the effect of noise with and without active noise control (ANC) on multichannel electroencephalogram (EEG) signal. The multichannel EEG signal is recorded during different listening conditions such as silent, music, noise, ANC with background noise and ANC with both background noise and music. The multiscale analysis of EEG signal of each channel is performed using the discrete wavelet transform. The multivariate multiscale matrices are formulated based on the sub-band signals of each EEG channel. The singular value decomposition is applied to the multivariate matrices of multichannel EEG at significant scales. The singular value features at significant scales and the extreme learning machine classifier with three different activation functions are used for classification of multichannel EEG signal. The experimental results demonstrate that, for ANC with noise and ANC with noise and music classes, the proposed method has sensitivity values of 75.831% ( p<0.001 ) and 99.31% ( p<0.001 ), respectively. The method has an accuracy value of 83.22% for the classification of EEG signal with music and ANC with music as stimuli. The important finding of this study is that by the introduction of ANC, music can be better perceived by the human brain.

Exploring Health Situation of Indian Children with Autism Spectrum Disorder Using Autism Treatment Evaluation Checklist (ATEC) in an Urban Area of Odisha: A Case Study.

INTRODUCTION: Autism or Autism Spectrum Disorder (ASD) is a complex behavioural disorder in children with uncertain aetiology. Gastrointestinal metabolites have direct impact on brain function with possible role in its causation. Data on burden of Autism in India is sparse. AIM: The aim of the study was to determine the extent of social, communication and behavioural impairment among children suffering from ASD patientsin Odisha. MATERIALS AND METHODS: A cross-sectional study design was used to assess 20 children with ASD in Odisha using an autism treatment evaluation checklist to understand the extent of social, communication and behavioural impairment in them. Of these, 72% children were diagnosed with ASD within 2 to 2.5 years of age and 38.9% patients suffered from diarrhoea together with constipation at the time of the study. RESULT: There was moderate impairment in, subclasses I (Speech/language/ communication), II (sociability), III (sensory/ cognitive awareness) and overall score but mild impairment in subclass IV (i.e., health/ physical/behaviour). Possibly, the training programme of the school had positive impact on the behaviour and the health component. Severity of scores in subclasses was less in older children. There is need for training in order to improve the communication and social interaction domain of these children. CONCLUSION: This study has provided valuable insight into the health situation of children with ASD. The study has been carried out using ATEC checklist. It points towards the need for training in order to improve the communication and social interaction domain of these children. It also reinforces the necessity to carry out further studies to explore possible link of gastrointestinal metabolites in causing ASD and age related changes in ATEC score of these children.