Nitric Oxide Metabolite Concentration in Cerebrospinal Fluid: Useful as a Prognostic Marker?

Saurabh Singh,Jyoti Prakash,Rakesh Singh,Ashish Verma,Hemant Bansal 대한척추외과학회 2016 Asian Spine Journal Vol.10 No.5

Study Design: Prospective study. Purpose: To establish the significance of cerebrospinal fluid (CSF) nitric oxide metabolite (NOx) concentration in acute spinal cord injury (SCI) patients to assess the neurological severity and prognosis. Overview of Literature: Quantitative analysis of specific biomarkers in CSF will assess neurological severity more accurately and permit the formulation of a more precise management plan. Methods: Forty SCI patients represented the cases and 20 lower limb injury patients were the controls. NOx concentration in CSF was measured at week 1, 2, and 4 by Griess method. Magnetic resonance imaging (MRI, T2-weighted) done in each case to measure cord edema and neurological severity was assessed using the Frankel classification. Results: CSF NOx concentration peaked at week 2 and declined to normal by week 4. The concentration remained normal in controls. Mean NOx concentration was directly proportional to the severity of acute SCI as correlated with cord edema seen in MRI and neurological severity assessed. Conclusions: CSF NOx concentration can be considered a specific quantitative biomarker in acute stage of SCI to predict the severity and prognosis of SCI patients.

Expression Levels of Tetraspanin KAI1/CD82 in Breast Cancers in North Indian Females

Singh, Richa,Bhatt, Madan Lal Brahma,Singh, Saurabh Pratap,Kumar, Vijay,Goel, Madhu Mati,Mishra, Durga Prasad,Srivastava, Kirti,Kumar, Rajendra Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7

Background: Carcinogenesis is a multifaceted intricate cellular mechanism of transformation of the normal functions of a cell into neoplastic alterations. Metastasis may result in failure of conventional treatment and death Hence, research on metastatic suppressors in cancer is a high priority. The metastatic suppressor gene CD82, also known as KAI1, is a member of the transmembrane 4 superfamily which was first identified in carcinoma of prostate. Little work has been done on this gene in breast cancer. Herein, we aimed to determine the gene and protein level expression of CD82/KAI1 in breast cancer and its role as a prognosticator. Materials and Methods: In this study, 83 histologically proven cases of breast cancer and a similar number of controls were included. Patient age ranged from 18-70 years. Quantitative Real Time Polymerase Chain Reaction (q-RT PCR) and immunohistochemistry (IHC) were used to investigate KAI1 expression at gene and protein levels, respectively. Statistical analysis was done to correlate expression of KAI1 and clinicopathological parameters. Results: It was revealed that: (i) KAI1 was remarkably diminished in metastatic vs non metastatic breast cancer both at the gene and the protein levels (P < .05); (ii) KAI1 expression levels were strongly correlated with TNM staging, histological grade and advanced stage (p<0.001) and no association was found with any other studied parameter; (iii) Lastly, a significant correlation was observed between expression of KAI1 and overall median survival of BC patients (P = 0.04). Conclusions: Our results suggest that lack of expression of the KAI1 might indicate a more aggressive form of breast cancer. Loss of KAI1 may be considered a significant prognostic marker in predicting metastatic manifestation. When evaluated along with the clinical and pathological factors, KAI1 expression may be beneficial to tailor aggressive therapeutic strategies for such patients.

SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology

Singh, Saurabh,Ra, In-Ho,Meng, Weizhi,Kaur, Maninder,Cho, Gi Hwan Taylor & Francis 2019 INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWOR Vol.15 No.4

Energy Consumption and Reliable Communications for Green IoT

( Saurabh Singh ),( Seo Yeon Moon ),( Gangman Yi ),( Jong Hyuk Park ) 한국정보처리학회 2016 한국정보처리학회 학술대회논문집 Vol.23 No.2

Green Internet of Things (IoT) is the study and practice of eco-friendly sustainable computing. The basic goal of green computing is to reduce the use of materials and maximize energy efficiency with reliable and secure communications. The paper presents various technologies and issues regarding green IoT. It also studies the green Information and Communication Technology (ICT) such as green M2M, green Cloud Computing (CC), and green Data Center (DC). In addition, this paper mentions about the reliability in IoT Communication and and issues to achieve green IoT communication by applying efficient activity scheduling technique for energy saving. Finally, we propose the green IoT-Home Service (GIHS) model which provides efficient energy management in home automation system.

Breakthrough modeling of furfural sorption behavior in a bagasse fly ash packed bed

Saurabh Singh,Vimal Chandra Srivastava,Akash Goyal,Indra Deo Mall 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.1

Adsorptive breakthrough modelling is essential for design of a sorption packed bed. In this work, breakthrough modelling of the furfural uptake in bagasse fly ash (BFA) packed bed has been performed. Effect of various parameters like bed height (Z = 15-60 cm), flow rate (Q = 0.02-0.04 L/min) and initial furfural concentration (C₀ = 50-200 mg/L) on the breakthrough curve of furfural sorption in a BFA packed bed have been studied. Enhanced breakthrough performance was observed for the higher value of Z, and lower values of C₀ and Q. For C₀ = 100 mg/L, packed bed operated at Q = 0.03 L/min and Z = 60 cm was found to have lowest adsorbent utilization rate of 5.61 g/L with highest breakthrough volume of 14.67 L. Bed depth service time and Thomas models well represented the experimental data points under all experimental conditions. It can be concluded that BFA can be utilized efficiently in continuous system for the removal of furfural. Overall, more than 99% of furfural was adsorbed in BFA packed bed at experimental conditions.

Evaluation of KiSS1 as a Prognostic Biomarker in North Indian Breast Cancer Cases

Singh, Richa,Bhatt, Madan Lal Brahma,Singh, Saurabh Pratap,Kumar, Vijay,Goel, Madhu Mati,Mishra, Durga Prasad,Kumar, Rajendra Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.4

Background: Breast cancer is the commonest female cancer worldwide and its propensity to metastasize negatively impacts on therapeutic outcome. Several clinicopathological parameters with prognostic/predictive significance have been associated with metastatic suppressor expression levels. The role of metastatic suppressor gene (MSG) KiSS1 in breast cancer remains unclear. Our goal was to investigate the possible clinical significance of KiSS1 breast cancer. Materials and Methods: The study was conducted on 87 histologically proven cases of breast cancer and background normal tiisue. Quantitative reverse transcriptase polymerase chain reaction (qRT PCR) and immunohistochemistry (IHC) were used to investigate KiSS1 at gene and protein levels, respectively, for correlation with several patient characteristics including age, family history, hormonal receptor status, stage, tumor size, nodal involvement and metastatic manifestation and finally with median overall survival (OS). Results: Our study revealed (i) KiSS1 levels were generally elevated in breast cancer vs normal tissue (P < 0.05). (ii) however, a statistically significant lower expression of KiSS1 was observed in metastatic vs non metastatic cases (P = 0.04). (iii) KiSS1 levels strongly correlated with T,N,M category, histological grade and advanced stage (p<0.001) but not other studied parameters. (iv) Lastly, a significant correlation between expression of KiSS1 and median OS was found (P = 0.04). Conclusions: Conclusively, less elevated KiSS1 expression is a negative prognostic factor for OS, advancing tumor stage, axillary lymph node status, metastatic propensity and advancing grade of the breast cancer patient. Patients with negative KiSS1 expression may require a more intensive therapeutic strategy.

Tailoring the morphology followed by the electrochemical performance of NiMn-LDH nanosheet arrays through controlled Co-doping for high-energy and power asymmetric supercapacitors

Singh, Saurabh,Shinde, Nanasaheb M.,Xia, Qi Xun,Gopi, Chandu V. V. M.,Yun, Je Moon,Mane, Rajaram S.,Kim, Kwang Ho Royal Society of Chemistry 2017 Dalton Transactions Vol. No.

<▼1><P>A NiCoMn-LDH (10%)//rGO asymmetric supercapacitor device with 574 Wh kg<SUP>−1</SUP> energy density at 749.9 W kg<SUP>−1</SUP> power density and 89.4% retention even after 2500 cycles has been explored.</P></▼1><▼2><P>Herein, we tailor the surface morphology of nickel–manganese-layered double hydroxide (NiMn-LDH) nanostructures on 3D nickel-foam <I>via</I> a step-wise cobalt (Co)-doping hydrothermal chemical process. At the 10% optimum level of Co-doping, we noticed a thriving tuned morphological pattern of NiMn-LDH nanostructures (NiCoMn-LDH (10%)) in terms of the porosity of the nanosheet (NS) arrays which not only improves the rate capability as well as cycling stability, but also demonstrates nearly two-fold specific capacitance enhancement compared to Co-free and other NiCoMn-LDH electrodes with a half-cell configuration in 3 M KOH, suggesting that Co-doping is indispensable for improving the electrochemical performance of NiMn-LDH electrodes. Moreover, when this high performing NiCoMn-LDH (10%) electrode is employed as a cathode material to fabricate an asymmetric supercapacitor (ASC) device with reduced graphene oxide (rGO) as an anode material, excellent energy storage performance (57.4 Wh kg<SUP>−1</SUP> at 749.9 W kg<SUP>−1</SUP>) and cycling stability (89.4% capacitive retention even after 2500 cycles) are corroborated. Additionally, we present a demonstration of illuminating a light emitting diode for 600 s with the NiCoMn-LDH (10%)//rGO ASC device, evidencing the potential of the NiCoMn-LDH (10%) electrode in fabricating energy storage devices.</P></▼2>

Low prevalence of primary sclerosing cholangitis in patients with inflammatory bowel disease in India

Arshdeep Singh,Vandana Midha,Vikram Narang,Saurabh Kedia,Ramit Mahajan,Pavan Dhoble,Bhavjeet Kaur Kahlon,Ashvin Singh Dhaliwal,Ashish Tripathi,Shivam Kalra,Narender Pal Jain,Namita Bansal,Rupa Banerje 대한장연구학회 2023 Intestinal Research Vol.21 No.4

Background/Aims: Primary sclerosing cholangitis (PSC) represents the most common hepatobiliary extraintestinal manifestation of inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD). Limited data exist on PSC in patients with IBD from India. We aimed to assess the prevalence and disease spectrum of PSC in Indian patients with IBD. Methods: Database of IBD patients at 5 tertiary care IBD centers in India were analyzed retrospectively. Data were extracted and the prevalence of PSC-IBD was calculated. Results: Forty-eight patients out of 12,216 patients with IBD (9,231 UC, 2,939 CD, and 46 IBD unclassified) were identified to have PSC, resulting in a prevalence of 0.39%. The UC to CD ratio was 7:1. Male sex and pancolitis (UC) or colonic CD were more commonly associated with PSC-IBD. The diagnosis of IBD preceded the diagnosis of PSC in most of the patients. Majority of the patients were symptomatic for liver disease at diagnosis. Eight patients (16.66%) developed cirrhosis, 5 patients (10.41%), all UC, developed malignancies (3 colorectal cancer [6.25%] and 2 cholangiocarcinoma [4.16%]), and 3 patients died (2 decompensated liver disease [4.16%] and 1 cholangiocarcinoma [2.08%]) on follow-up. None of the patients mandated surgical therapy for IBD. Conclusions: Concomitant PSC in patients with IBD is uncommon in India and is associated with lower rates of development of malignancies.

The Effects of Repetitive Transcranial Magnetic Stimulation at Dorsolateral Prefrontal Cortex in the Treatment of Migraine Comorbid with Depression: A Retrospective Open Study

Saurabh Kumar,Swarndeep Singh,Nand Kumar,Rohit Verma 대한정신약물학회 2018 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.16 No.1

Objective: The literature on managing migraine non-responsive to pharmacological approaches and that co-occurring with depression is scanty. The comorbid condition predicts a poorer prognosis for migraine as well as depression. The present report assesses efficacy and tolerability of high frequency repetitive transcranial magnetic stimulation (rTMS) over left dorsolateral prefrontal cortex as a treatment modality for migraine with comorbid depression. Methods: The current retrospective chart review assesses effectiveness of high frequency rTMS over left dorsolateral prefrontal cortex as a treatment modality to manage migraine occurring comorbid with depression in 14 subjects. Results: The mean scores on Migraine Disability Assessment Test (MIDAS) and depression rating scale reduced significantly from 21.14±3.01 and 20.71±3.95 at baseline to 13.93±6.09 and 14.21±5.52 respectively, after rTMS. There was significant improvement in migraine frequency, severity and functional disability assessed using MIDAS scores (p <0.05) following high frequency rTMS compared to baseline. Conclusion: There is a role of applying rTMS as a potential therapeutic modality in the integrated management of a distinct subgroup of migraine patients with comorbid depression.

Extrapolation of significant genes and transcriptional regulatory networks involved in Zea mays in response in UV-B stress

Saurabh Gupta,Vikas Gupta,Vishal Singh,Pritish Kumar Varadwaj 한국유전학회 2018 Genes & Genomics Vol.40 No.9

A wide range of plant species growth influenced when they exposed to solar UV-B radiation. Leaves of the plant are highly affected by UV-B radiation lead to the reduction in the growth of the plant. Current work demonstrates the comparative transcriptional changes and visible symptoms occurred in the maize leaf growth zone (GZ). Primary objective of this study was to identify differentially expressed genes (DEGs) responsible for leaf growth and their association in the transcriptional regulatory network under UV-B stress. Whole transcriptomic data was analysed and the quality check was tested for each sample and further genome-wide mapping and DEGs were performed. Gene Ontology (GO) based functional annotation, associated transcriptional networks and molecular pathways were annotated. Reduction in cell production due to UV-B stress causes a decrease in leaf’s length and size was observed. Further, the specific role of the DEGs, in UV-B signalling pathways and other molecular functions responsible for leaf cell death was discovered. Results also infer that the major changes occurred in the cell cycle, transcriptional regulation, post-transcriptional modification, phytohormones, flavonoids biosynthesis, and chromatin remodeling. UV-B signalling pathways and the transcriptional regulatory networks infer the different molecular steps along with downstream transcriptional and post-transcriptional control of metabolic enzymes used in long-term memory adoption and attainment resistance to UV-B stress identified. Effects of UV-B radiation on leaf growth was noted in this study. UV-B stress response genes and associated transcriptional regulatory networks were identified, can be used in developing the marker assist UB-B stress tolerant genotypes of the maize.