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Article ; Online: CRISPR/Cas9-Mediated CtBP1 Gene Editing Enhances Chemosensitivity and Inhibits Metastatic Potential in Esophageal Squamous Cell Carcinoma Cells.

Akhtar, Javed / Imran, Muhammad / Wang, Guanyu

International journal of molecular sciences

2023 Volume 24, Issue 18

Abstract: Innovative therapeutic strategies for esophageal squamous cell carcinoma (ESCC) are urgently required due to the limited effectiveness of standard chemotherapies. C-Terminal Binding Protein 1 (CtBP1) has been implicated in various cancers, including ESCC. ...

Abstract	Innovative therapeutic strategies for esophageal squamous cell carcinoma (ESCC) are urgently required due to the limited effectiveness of standard chemotherapies. C-Terminal Binding Protein 1 (CtBP1) has been implicated in various cancers, including ESCC. However, the precise expression patterns and functional roles of CtBP1 in ESCC remain inadequately characterized. In this study, we aimed to investigate CtBP1 expression and its role in the resistance of ESCC to paclitaxel, an effective chemotherapeutic agent. Western blotting and immunofluorescence were applied to assess CtBP1 expression in the TE-1 and KYSE-50 cell lines. We observed the marked expression of CtBP1, which was associated with enhanced proliferation, invasion, and metastasis in these cell lines. Further, we successfully generated paclitaxel resistant ESCC cell lines and conducted cell viability assays. We employed the CRISPR/Cas9 genome editing system to disable the CtBP1 gene in ESCC cell lines. Through the analysis of the drug dose-response curve, we assessed the sensitivity of these cell lines in different treatment groups. Remarkably, CtBP1-disabled cell lines displayed not only improved sensitivity but also a remarkable inhibition of proliferation, invasion, and metastasis. This demonstrates that CtBP1 may promote ESCC cell malignancy and confer paclitaxel resistance. In summary, our study opens a promising avenue for targeted therapies, revealing the potential of CtBP1 inhibition to enhance the effectiveness of paclitaxel treatment for the personalized management of ESCC.
Language	English
Publishing date	2023-09-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2019364-6
ISSN	1422-0067 ; 1422-0067 ; 1661-6596
ISSN (online)	1422-0067
ISSN	1422-0067 ; 1661-6596
DOI	10.3390/ijms241814030
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Early warning and diagnosis of liver cancer based on dynamic network biomarker and deep learning.

Han, Yukun / Akhtar, Javed / Liu, Guozhen / Li, Chenzhong / Wang, Guanyu

Computational and structural biotechnology journal

2023 Volume 21, Page(s) 3478–3489

Abstract: Background: Early detection of complex diseases like hepatocellular carcinoma remains challenging due to their network-driven pathology. Dynamic network biomarkers (DNB) based on monitoring changes in molecular correlations may enable earlier ... ...

Abstract	Background: Early detection of complex diseases like hepatocellular carcinoma remains challenging due to their network-driven pathology. Dynamic network biomarkers (DNB) based on monitoring changes in molecular correlations may enable earlier predictions. However, DNB analysis often overlooks disease heterogeneity. Methods: We integrated DNB analysis with graph convolutional neural networks (GCN) to identify critical transitions during hepatocellular carcinoma development in a mouse model. A DNB-GCN model was constructed using transcriptomic data and gene expression levels as node features. Results: DNB analysis identified a critical transition point at 7 weeks of age despite histological examinations being unable to detect cancerous changes at that time point. The DNB-GCN model achieved 100% accuracy in classifying healthy and cancerous mice, and was able to accurately predict the health status of newly introduced mice. Conclusion: The integration of DNB analysis and GCN demonstrates potential for the early detection of complex diseases by capturing network structures and molecular features that conventional biomarker discovery methods overlook. The approach warrants further development and validation.
Language	English
Publishing date	2023-07-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2694435-2
ISSN	2001-0370
ISSN	2001-0370
DOI	10.1016/j.csbj.2023.07.002
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Article ; Online: Digital decoding of pediatric traumatic brain injury.

Akhtar, Javed Iqbal

Critical care medicine

2015 Volume 43, Issue 3, Page(s) 722–723

MeSH term(s)	Brain Injuries/complications ; Female ; Humans ; Male ; Vasospasm, Intracranial/etiology
Language	English
Publishing date	2015-03
Publishing country	United States
Document type	Comment ; Editorial
ZDB-ID	197890-1
ISSN	1530-0293 ; 0090-3493
ISSN (online)	1530-0293
ISSN	0090-3493
DOI	10.1097/CCM.0000000000000799
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Article: In silico

Saklani, Neeraj / Chauhan, Varnit / Akhtar, Javed / Upadhyay, Santosh Kumar / Sirdeshmukh, Ravi / Gautam, Poonam

Frontiers in genetics

2023 Volume 14, Page(s) 1107614

Abstract: Competitive endogenous RNA (ceRNA) networks are reported to play a crucial role in regulating cancer-associated genes. Identification of novel ceRNA networks in gallbladder cancer (GBC) may improve the understanding of its pathogenesis and might yield ... ...

Abstract	Competitive endogenous RNA (ceRNA) networks are reported to play a crucial role in regulating cancer-associated genes. Identification of novel ceRNA networks in gallbladder cancer (GBC) may improve the understanding of its pathogenesis and might yield useful leads on potential therapeutic targets for GBC. For this, a literature survey was done to identify differentially expressed lncRNAs (DELs), miRNAs (DEMs), mRNAs (DEGs) and proteins (DEPs) in GBC. Ingenuity pathway analysis (IPA) using DEMs, DEGs and DEPs in GBC identified 242 experimentally observed miRNA-mRNA interactions with 183 miRNA targets, of these 9 (CDX2, MTDH, TAGLN, TOP2A, TSPAN8, EZH2, TAGLN2, LMNB1, and PTMA) were reported at both mRNA and protein levels. Pathway analysis of 183 targets revealed p53 signaling among the top pathway. Protein-protein interaction (PPI) analysis of 183 targets using the STRING database and cytoHubba plug-in of Cytoscape software revealed 5 hub molecules, of which 3 of them (TP53, CCND1 and CTNNB1) were associated with the p53 signaling pathway. Further, using Diana tools and Cytoscape software, novel lncRNA-miRNA-mRNA networks regulating the expression of TP53, CCND1, CTNNB1, CDX2, MTDH, TOP2A, TSPAN8, EZH2, TAGLN2, LMNB1, and PTMA were constructed. These regulatory networks may be experimentally validated in GBC and explored for therapeutic applications.
Language	English
Publishing date	2023-02-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606823-0
ISSN	1664-8021
ISSN	1664-8021
DOI	10.3389/fgene.2023.1107614
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Article: Role of Computed Tomography in Estimation of Residual Renal Function at One Year after Donor Nephrectomy: Comparison with Nuclear Scintigraphy.

Lal, Hira / Yadav, Priyank / Kaul, Anupma / Prasad, Raghunandan / Akhtar, Javed / Mishra, Prabhakar / Singh, Anuradha

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia

2022 Volume 32, Issue 4, Page(s) 993–998

Abstract: Computed tomography (CT) is routinely used for preoperative anatomical evaluation of renal donors, but recent studies show that it may be useful as a predictor of renal function too. This study aimed to compare CT volumetry-attenuation-based glomerular ... ...

Abstract	Computed tomography (CT) is routinely used for preoperative anatomical evaluation of renal donors, but recent studies show that it may be useful as a predictor of renal function too. This study aimed to compare CT volumetry-attenuation-based glomerular filtration rate (GFR) with Tc99m-diethylene-triamine-pentaacetic acid (DTPA) renal scintigraphy GFR and predict post-donor nephrectomy renal function. This is a prospective study involving 39 renal donors at a tertiary care hospital in northern India from 2014 to 2017. Renal volume and attenuation were determined by CT using a semiautomatic tool, and split renal function (SRF) was calculated for each side. CT-GFR was obtained using CT-SRF and global GFR from modification of diet in renal disease equation. At 12 months after nephrectomy, GFR was estimated from serum creatinine (eGFR). Predonation CT-GFR of preserved kidney was used to predict post-nephrectomy renal function which was compared with post-donation renal function calculated using serum creatinine as well as with DTPA-GFR. Pearson correlation coefficient and scatter diagram were used to assess and test the linear relationship between two continuous variables. The Statistical Package for the Social Sciences, version 23, was used for data analysis. There was a highly significant change in mean DTPA-GFR and mean CT-GFR compared to eGFR values (50.79-64.25, 26.50%, and 50.77-64.25, 26.55%, respectively). Similarly, there was a very good correlation between DTPA-GFR and eGFR (r = 0.968, P <0.001) as well as CT-GFR and eGFR (r = 0.968, P <0.001). CT volumetry-attenuation-based GFR accurately predicts post-donor nephrectomy renal function at 1 year similar to Tc99m-DTPA renal scintigraphy.
MeSH term(s)	Glomerular Filtration Rate ; Humans ; Kidney/diagnostic imaging ; Kidney/physiology ; Kidney Transplantation/adverse effects ; Kidney Transplantation/methods ; Living Donors ; Nephrectomy/adverse effects ; Nephrectomy/methods ; Prospective Studies ; Radionuclide Imaging ; Tomography, X-Ray Computed/methods
Language	English
Publishing date	2022-03-01
Publishing country	Saudi Arabia
Document type	Journal Article
ZDB-ID	1379955-1
ISSN	1319-2442
ISSN	1319-2442
DOI	10.4103/1319-2442.338312
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Zs.A 4735: Show issues

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Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Is the animal brain the same as the human brain?*.

Akhtar, Javed I

Critical care medicine

2012 Volume 40, Issue 3, Page(s) 1025–1026

MeSH term(s)	Angiopoietin-2/blood ; Female ; Humans ; Malaria, Cerebral/blood ; Malaria, Cerebral/mortality ; Male ; Retinal Diseases/blood ; Retinal Diseases/mortality
Chemical Substances	Angiopoietin-2
Language	English
Publishing date	2012-03
Publishing country	United States
Document type	Comment ; Editorial
ZDB-ID	197890-1
ISSN	1530-0293 ; 0090-3493
ISSN (online)	1530-0293
ISSN	0090-3493
DOI	10.1097/CCM.0b013e31823b8b44
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ab Jg. 2022: Lesesaal (EG)

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Article: Zingiber zerumbet Rhizome Essential Oil Induces Cytotoxicity, Apoptosis and Cell Cycle Arrest in Jurkat Cells

Dash, Biswabhusan / Sahoo, Ambika / Ray, Asit / Jena, Sudipta / Prusty, Sweta / Akhtar, Javed / Panda, Pratap Chandra / Nayak, Sanghamitra

Journal of essential oil-bearing plants. 2022 May 04, v. 25, no. 3

2022

Abstract: Zingiber zerumbet (L.) Roscoe ex Sm. is an important medicinal herb from the zingiberaceae family that has long been used as a folk medicine to treat a variety of diseases. In the present study, rhizome essential oil of Z. zerumbet (ZZREO) was examined ... ...

Abstract	Zingiber zerumbet (L.) Roscoe ex Sm. is an important medicinal herb from the zingiberaceae family that has long been used as a folk medicine to treat a variety of diseases. In the present study, rhizome essential oil of Z. zerumbet (ZZREO) was examined through Gas Chromatography-Mass Spectroscopy (GC/MS). Total 28 compounds were identified accounting 91.83% of the total oil. Zerumbone (71.93 ± 0.43%) was identified to be the predominant compound in ZZREO. Apart from zerumbone, camphene (4.01 ± 0.43%), α-humulene (3.83 ± 0.27%), germacrene B (2.38 ± 0.52%), elemol (2.02 ± 0.34%), camphor (1.57 ± 0.39 %) and eucalyptol (1.5 ± 0.29%) were found to be the other major constituents. ZZREO decreases the vitality of Jurkat (Acute T-cell leukaemia) cells in a concentration dependent manner, without damaging human PBMC according to the cytotoxic study. The inhibitory action of tested oil on Jurkat cells was noted at 24 and 48h with IC₅₀ value of 36.37 ± 0.94 and 30.83 ± 0.82 μg/mL respectively. Annexin-FITC assay using flow cytometry showed that ZZREO induced apoptosis in jurkat cells. Similarly, cell cycle analysis by PI staining exhibited that it induces G2/M phase cell cycle attest in Jurkat cells. Additionally, DNA fragmentation analysis conformed the apoptosis exhibiting fragmented DNA of ZZREO treated Jurkat cells. ZZREO possesses substantial antiproliferative and apoptosis inducing activity against Jurkat cells, indicating that it could be employed as a therapeutic agent for acute T cell leukemia treatment and management.
Keywords	DNA ; DNA fragmentation ; T-lymphocytes ; Zingiber zerumbet ; apoptosis ; camphene ; camphor ; cell cycle checkpoints ; cineole ; cytotoxicity ; essential oils ; flow cytometry ; germacrene ; humans ; leukemia ; medicinal plants ; oils ; rhizomes ; therapeutics ; traditional medicine
Language	English
Dates of publication	2022-0504
Size	p. 639-650.
Publishing place	Taylor & Francis
Document type	Article
ISSN	0976-5026
DOI	10.1080/0972060X.2022.2098062
Database	NAL-Catalogue (AGRICOLA)

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Article: A prospective observational study to evaluate Glutathione S-transferase gene polymorphism and its association with Antitubercular drugs induced liver injury in tertiary hospital.

Akhtar, Javed / Singh, Sarvesh / Verma, Ajay Kumar / Pal, Rishi / Nath, Rajendra

The Indian journal of tuberculosis

2021 Volume 69, Issue 3, Page(s) 341–346

Abstract: Background: Anti-TB drugs are most common cause of idiosyncratic hepatotoxicity worldwide. Reactive metabolite formed during drug metabolism has been involved in a clinical toxicity are described as 'idiosyncratic' drug induce liver injury (DILI). We ... ...

Abstract	Background: Anti-TB drugs are most common cause of idiosyncratic hepatotoxicity worldwide. Reactive metabolite formed during drug metabolism has been involved in a clinical toxicity are described as 'idiosyncratic' drug induce liver injury (DILI). We have observed the distribution of glutathione S -transferase (GST) gene polymorphism & its association with drug-induced liver injury in patients taking anti-tubercular treatment. Methods: A prospective observational study including 96 patients receiving anti-tubercular treatment. Blood sample was collected for LFT and gene extraction after ruling out other cause of liver injury. DNA extraction for GST gene was done follow by polymerase chain reaction to identify homozygous null mutation at GSTM1 and GSTT1 loci. Association of GSTM1 and GSTT1 gene with DILI was seen. Results: Out of 96 tubercular patients under treatment, drug induced liver injury was found in 21 (21.9%) patients and 75 does not develop DILI, GST M1 gene null mutation was observed in 14 (66.7%), GST T1 gene null mutation was observed in 9 (42.9%), Both GST gene null mutation was observed in 8 (38.1%) in DILI group. Conclusion: The GSTM1 gene null mutation and both GSTM1 and T1 gene null mutation were a risk factor for the development of DILI. But there is no significant association between GSTT1 gene null mutation and DILI in TB patients.
MeSH term(s)	Humans ; Antitubercular Agents/adverse effects ; Chemical and Drug Induced Liver Injury/genetics ; Genetic Predisposition to Disease ; Genotype ; Glutathione Transferase/genetics ; Polymorphism, Genetic ; Tertiary Care Centers ; Tuberculosis/drug therapy
Chemical Substances	Antitubercular Agents ; Glutathione Transferase (EC 2.5.1.18) ; glutathione S-transferase M1 (EC 2.5.1.18) ; glutathione S-transferase T1 (EC 2.5.1.-)
Language	English
Publishing date	2021-06-15
Publishing country	India
Document type	Journal Article ; Observational Study
ZDB-ID	603129-8
ISSN	0019-5707 ; 0019-5705
ISSN	0019-5707 ; 0019-5705
DOI	10.1016/j.ijtb.2021.06.006
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates.

Hussain, Jamshad / Khaliq, Tasneem / Ahmad, Ashfaq / Akhtar, Javed

PloS one

2018 Volume 13, Issue 6, Page(s) e0197546

Abstract: Robustness of four wheat simulation model were tested with 2-year field experiments of three cultivars across a wide range of sowing dates in two different climatic regions: Faisalabad (semi-arid) and Layyah (arid), in Punjab-Pakistan. Wheat growing ... ...

Abstract	Robustness of four wheat simulation model were tested with 2-year field experiments of three cultivars across a wide range of sowing dates in two different climatic regions: Faisalabad (semi-arid) and Layyah (arid), in Punjab-Pakistan. Wheat growing season temperature ranged from -0.1°C to 43°C. The wide series of sowing dates was a unique opportunity to grow the wheat in an environment which temperatures varies from -0.1°C to 43°C. The CERES-Wheat, Nwheat, CROPSIM-Wheat and APSIM-Wheat model were calibrated against the least-stressed treatment for each wheat cultivar. Overall, the four models described performance of early, optimum and late sown wheat well, but poorly described yields of very late planting dates with associated high temperatures during grain filling. The poor accuracy of simulations of yield for extreme planting dates point to the need to improve the accuracy of model simulations at the high end of the growing temperature range, especially given the expected future increases in growing season temperature. Improvement in simulation of maximum leaf area index of wheat for all models is needed. APSIM-Wheat only poorly simulated days to maturity of very and extremely late sown wheat compared to other models. Overall, there is a need of improvement in function of models to response high temperature.
MeSH term(s)	Biomass ; Climate Change ; Crops, Agricultural/growth & development ; Edible Grain/growth & development ; Pakistan ; Plant Leaves/growth & development ; Seasons ; Triticum/growth & development
Language	English
Publishing date	2018-06-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0197546
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Book ; Online: Practical Precoding via Asynchronous Stochastic Successive Convex Approximation

Idrees, Basil M. / Akhtar, Javed / Rajawat, Ketan

2020

Abstract: We consider stochastic optimization of a smooth non-convex loss function with a convex non-smooth regularizer. In the online setting, where a single sample of the stochastic gradient of the loss is available at every iteration, the problem can be solved ... ...

Abstract	We consider stochastic optimization of a smooth non-convex loss function with a convex non-smooth regularizer. In the online setting, where a single sample of the stochastic gradient of the loss is available at every iteration, the problem can be solved using the proximal stochastic gradient descent (SGD) algorithm and its variants. However in many problems, especially those arising in communications and signal processing, information beyond the stochastic gradient may be available thanks to the structure of the loss function. Such extra-gradient information is not used by SGD, but has been shown to be useful, for instance in the context of stochastic expectation-maximization, stochastic majorization-minimization, and stochastic successive convex approximation (SCA) approaches. By constructing a stochastic strongly convex surrogates of the loss function at every iteration, the stochastic SCA algorithms can exploit the structural properties of the loss function and achieve superior empirical performance as compared to the SGD. In this work, we take a closer look at the stochastic SCA algorithm and develop its asynchronous variant which can be used for resource allocation in wireless networks. While the stochastic SCA algorithm is known to converge asymptotically, its iteration complexity has not been well-studied, and is the focus of the current work. The insights obtained from the non-asymptotic analysis allow us to develop a more practical asynchronous variant of the stochastic SCA algorithm which allows the use of surrogates calculated in earlier iterations. We characterize precise bound on the maximum delay the algorithm can tolerate, while still achieving the same convergence rate. We apply the algorithm to the problem of linear precoding in wireless sensor networks, where it can be implemented at low complexity but is shown to perform well in practice.
Keywords	Mathematics - Optimization and Control ; Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Signal Processing
Subject code	510
Publishing date	2020-10-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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