Introduction: Vitamin D is a steroid hormone with a broad range of biological effects ranging from its classical role as a Mediator of calcium and phosphate balance to cellular differentiation and ...immune modulation. Vitamin D deficiency prevails in epidemic proportion all over the Indian subcontinent, with a prevalence of 70%-100% in the general population. In India, widely consumed food items such as dairy products are rarely fortified with vitamin D. Indian socio religious and cultural practices do not facilitate adequate sun exposure thereby negating potential benefits of plentiful sunshine. Consequently, subclinical vitamin D deficiency is highly prevalent in both urban and rural settings and across all socioeconomic and geographic strata. Aim of this retrospective analysis is to determine the prevalence of vitamin D deficiency in adult patients with Hematolymphoid malignancy which may help formulate the policy for vitamin D screening in these patients. Method: In a study of 2 years, a total of 260 samples (70 women, 118 men) were received from Adult Haematolymphoid department for measurement of serum vitamin D and serum calcium level as per institutional protocol. All samples were processed on Architect 1000 by Abbott Healthcare for serum vitamin D and Dimension RXL by Siemens Healthcare for serum calcium level. A biological reference interval of 30-40 ng/ml for serum Vitamin D and 8.5-10.1 mg/dl for serum calcium level was followed. Result: Out of 260 samples, 188 (72.3%) samples (70 women, 118 men) showed low vitamin D level and 72 (27.6%) samples (23 women, 49men) showed hypocalcaemia. Prevalence of vitamin D deficiency (69.2%) is comparable with that in the general population (70-100%) Conclusion: Vitamin D deficiency is common in patients with haematolymphoid malignancy. Considering its role in haematopoietic and immune system processes all patients should be screened for Vitamin D deficiency.
ABSTRACT
We have studied the issues associated with the use of platinum electrodes for transdermal iontophoretic delivery of peptides, using insulin as a model peptide. Insulin permeation was studied ...using full‐thickness rat skin by varying the donor solution pH as a function of electrode polarity. The stability of insulin under the iontophoretic conditions was studied using TLC, SDS‐polyacrylamide gel electrophoresis and HPLC. Large pH shifts were observed during anodal iontophoresis (AI), when the donor solution pH was above the isoelectric point of insulin and in cathodal iontophoresis (CI), when the donor solution pH was below the isoelectric point of insulin. The direction and magnitude of electroosmotic flow was influenced by pH of the donor solution and the electrode polarity. On the other hand, the buffer used to maintain the pH governed the contribution of electrorepulsion to the overall transport of insulin. Electrochemical degradation of insulin was significant during Al at pH 7.4. Among the pH investigated, Al of insulin at pH 3.6 and Cl at pH 8.35 were better, as the pH shift was relatively less and electrochemically more stable during iontophoresis as compared with other pH. In summary, the pH shift caused by platinum electrodes had a significant influence on the permeation and stability of insulin.
We present a novel deep learning framework that uses dynamic functional connectivity to simultaneously localize the language and motor areas of the eloquent cortex in brain tumor patients. Our method ...leverages convolutional layers to extract graph-based features from the dynamic connectivity matrices and a long-short term memory (LSTM) attention network to weight the relevant time points during classification. The final stage of our model employs multi-task learning to identify different eloquent subsystems. Our unique training strategy finds a shared representation between the cognitive networks of interest, which enables us to handle missing patient data. We evaluate our method on resting-state fMRI data from 56 brain tumor patients while using task fMRI activations as surrogate ground-truth labels for training and testing. Our model achieves higher localization accuracies than conventional deep learning approaches and can identify bilateral language areas even when trained on left-hemisphere lateralized cases. Hence, our method may ultimately be useful for preoperative mapping in tumor patients.
Synopsis of Papers Submitted Srinivasan, N.; Shahani, T. K.; Sarkar, Benoy Kumar ...
Indian journal of political science,
04/1940, Letnik:
1, Številka:
4
Journal Article
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