Kamna Srivastava

Dr. Kamna Srivastava

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Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 February 2020 in Genes
Verified
Journal Article
Open access
PDF file
DKDinesh Kumar
Dinesh Kumar
RNRajiv Narang
Rajiv Narang
VSVishnubhatla Sreenivas
Vishnubhatla Sreenivas
VRVandana Rastogi
Vandana Rastogi
JBJagriti Bhatia
Jagriti Bhatia
KSKamna Srivastava
Kamna Srivastava
While coronary artery disease (CAD) has become a major threat worldwide, the timely biomarker-based early diagnosis of CAD remains a major unmet clinical challenge. We aimed towards assessing the level of circulatory microRNAs as candidates of novel biomarkers in patients with CAD. A total of 147 subjects were recruited which includes 78 subjects with angiographically proven CAD, 15 pre-atherosclerotic normal coronary artery (NCA) subjects and 54 healthy individuals. Quantitative real-time PCR assays were performed. MiR-133b was downregulated by 4.6 fold (p < 0.0001) whereas miR-21 was upregulated by ~2 fold (p < 0.0001) in plasma samples of CAD patients. Importantly, both the miRNAs showed association with disease severity as miR-133b was downregulated by 8.45 fold in acute coronary syndrome (ACS), 3.38 fold in Stable angina (SA) and 2.08 fold in NCA. MiR-21 was upregulated by 2.46 fold in ACS, 1.90 fold in SA and 1.12 fold in NCA. Moreover, miR-133b could significantly differentiate subjects with ST-elevation myocardial infarction (STEMI) from Non-STEMI. Area under the curve (AUC) for miR-133b was 0.80 with >75.6% sensitivity and specificity, AUC for miR-21 was 0.79 with >69.4% sensitivity and specificity. Our results suggest that miR-133b and miR-21 could be possible candidates of novel biomarkers in early prediction of CAD.

3 July 2014 in PLOS ONE
Verified
Journal Article
Open access
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SCSudhir Chandra
Sudhir Chandra
RNRajiv Narang
Rajiv Narang
VSVishnubhatla Sreenivas
Vishnubhatla Sreenivas
JBJagriti Bhatia
Jagriti Bhatia
DSDaman Saluja
Daman Saluja
KSKamna Srivastava
Kamna Srivastava
Hypertension is one of the major cardiovascular diseases. It affects nearly 1.56 billion people worldwide. The present study is about a particular genetic polymorphism (A1166C), gene expression and protein expression of the angiotensin II type I receptor (AT1R) (SNP ID: rs5186) and its association with essential hypertension in a Northern Indian population. We analyzed the A1166C polymorphism and expression of AT1R gene in 250 patients with essential hypertension and 250 normal healthy controls. A significant association was found in the AT1R genotypes (AC+CC) with essential hypertension (χ2 = 22.48, p = 0.0001). Individuals with CC genotypes were at 2.4 times higher odds (p = 0.0001) to develop essential hypertension than individuals with AC and AA genotypes. The statistically significant intergenotypic variation in the systolic blood pressure was found higher in the patients with CC (169.4±36.3 mmHg) as compared to that of AA (143.5±28.1 mmHg) and AC (153.9±30.5 mmHg) genotypes (p = 0.0001). We found a significant difference in the average delta-CT value (p = 0.0001) wherein an upregulated gene expression (approximately 16 fold) was observed in case of patients as compared to controls. Furthermore, higher expression of AT1R gene was observed in patients with CC genotype than with AC and AA genotypes. A significant difference (p = 0.0001) in the protein expression of angiotensin II Type 1 receptor was also observed in the plasma of patients (1.49±0.27) as compared to controls (0.80±0.24). Our findings suggest that C allele of A1166C polymorphism in the angiotensin II type 1 receptor gene is associated with essential hypertension and its upregulation could play an important role in essential hypertension.

18 March 2016 in PLOS ONE
Verified
Journal Article
Open access
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KSKamna Srivastava
Kamna Srivastava
RNRajiv Narang
Rajiv Narang
JBJagriti Bhatia
Jagriti Bhatia
DSDaman Saluja
Daman Saluja
Hypertension is characterized by systemic high blood pressure and is the most common and important risk factor for the development of cardiovascular diseases. Studies have shown that the circulating levels of certain inflammatory markers such as tumor necrosis factor-alpha (TNF-alpha), interlukin-6 (IL-6), c-reactive protein (CRP), and tumor suppressor protein-53 (p53) are upregulated and are independently associated with essential hypertension. However, mechanism of increase in the levels of HSP70 protein is not clear. No such studies are reported in the blood circulation of patients with essential hypertension. In the present study, we investigated the expression of circulating HSP70 at mRNA and protein levels and its relationship with other inflammatory markers in patients with essential hypertension. We recruited 132 patients with essential hypertension and 132 normal controls from similar socio-economic-geographical background. The expression of HSP70 at mRNA levels was determined by Real Time PCR and at protein levels by indirect Elisa and Western Blot techniques. We found a significantly higher expression of HSP70 gene expression (approximately 6.45 fold, P < 0.0001) in hypertensive patients as compared to healthy controls. A significant difference (P < 0.0001) in the protein expression of HSP70 was also observed in plasma of patients as compared to that of controls. Higher expression of HSP70 is positively correlated with inflammatory markers in patients with essential hypertension and this correlation could play an important role in essential hypertension.

26 August 2021 in Metabolism Open
Verified
Journal Article
Open access
KSKamna Srivastava
Kamna Srivastava
MSMohan Kumar Singh
Mohan Kumar Singh
The coronavirus SARS-CoV-2 which causes the COVID-19 disease is a global public health emergency. Coronavirus are single-stranded positive-sense RNA viruses and their genome size is approximately 30 kb, which encodes some important structural proteins. The interaction between viral Spike protein and ACE2 on the host cell surface is of significant interest since it initiates the infection process. This review will focus on the effectiveness of reuse of currently used drugs against COVID-19, including clinical trials, molecular docking, and computational modelling approach. A systematic search in Pubmed, MEDLINE, EMBASE was conducted from from January 2020 to July 2021. Applying computational, clinical and experimental approaches, numerous drugs such as remdesivir, favipiravir, ribavirin, lopinavir, ritonavir, tocilizumab have been repurposed and have shown promising protection against SARS-CoV2 both in vitro and in clinical conditions. Although there is only one repurposed drug approved by the U.S. Food and Drug Administration (FDA) to treat coronavirus disease 2019 (COVID-19), i.e, Remdesivir. However, the FDA withdrew the authorization of the drugs Hydroxychloroquine and chloroquine,that are not effective for COVID-19 and can also cause serious heart problems. Molecular coupling would be the ideal technique to identify such therapeutic agents against COVID19.

1 December 1995 in International Journal of Biometeorology
Verified
Journal Article
Closed access
PDF file
GBG. Bhaumik
G. Bhaumik
KSKamna Srivastava
Kamna Srivastava
WSW. Selvamurthy
W. Selvamurthy
SPS. S. Purkayastha
S. S. Purkayastha

1 January 2008 in Clinica Chimica Acta
Verified
Journal Article
Closed access
KSKamna Srivastava
Kamna Srivastava
RNRajiv Narang
Rajiv Narang
VSV. Sreenivas
V. Sreenivas
SDSabri Das
Sabri Das
NDNibhriti Das
Nibhriti Das