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Article ; Online: Effects of mental imagery on lower limb function in sub-acute stage of stroke patients; a randomized controlled trial

Wajiha Shahid / Maryam Shabbir / Anam Naz / Naveed Arshad / Umair Ahmed

Rehman Journal of Health Sciences, Vol 3, Iss 1, Pp 21-

2021 Volume 23

Abstract: Introduction: Stroke is the most common type of cerebrovascular injury caused by sudden decrease in blood supply that can lead to weaknesses and other associated problems. Many treatment options are available for stroke with promising results. This trial ...

Abstract	Introduction: Stroke is the most common type of cerebrovascular injury caused by sudden decrease in blood supply that can lead to weaknesses and other associated problems. Many treatment options are available for stroke with promising results. This trial was designed to explore the role of mental imagery (visual) in the sub-acute stage, considering the stroke patient, especially in evaluating its effects on the lower extremities. Material & Methods: An experimental randomized controlled trial was performed from July to August 2018 in physiotherapy departments of National Hospital and Aadil Hospital Defence Lahore. A total of 80 patients having sub-acute stroke with strong perceptions having a score of 25 or more in the Mini Mental Score Exam and a 3 +/5 manual muscle testing grade system in the lower extremity were taken using non-probability consecutive sampling procedure. All the patients were divided into 2 groups randomly. Conservative treatment including strengthening and balance training were given to one group and conservative treatment with addition of visual imagery to the second group. Independent t-test was used to assess significant differences between the two groups. Results: Comparison of Berg Balance Scale at pre-intervention between the experimental group and the controlled group was not significant, 13.76 ± 2.85 vs 13.84 ± 3.26 (p=0.927), respectively. After intervention the effects of treatment were significant in both groups, 18.64 ± 2.33 vs 17.80 ± 2.94(p=0.007), respectively. Comparison of Time Up and Go test at pre-intervention between groups was not significant, 6.28 ± 1.86 vs 6.68 ± 0.99(p=0.347), respectively. The intervention effects after treatment in both groups were significant, 1.84 ± 1.28 vs 3.56 ± 1.26 (p=0.001), respectively. Conclusion: It is concluded that mental imagery along with conservative treatment plays a vital role in construction of neural circuit in sub-acute stroke patients.
Keywords	cerebrovascular accident ; lower limb ; mental imagery ; stroke ; sub-acute haemorrhage ; transient ischemic attack ; Medicine ; R
Subject code	150
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	Rehman Medical Institute
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Fluorene intercalated graphene oxide based CoQ10 imprinted polymer composite as a selective platform for electrochemical sensing of CoQ10.

Soomro, Anam Naz / Shaikh, Huma / Malik, Muhammad Imran / Buledi, Jamil A / Qazi, Sehrish / Solangi, Amber

RSC advances

2022 Volume 12, Issue 49, Page(s) 31639–31649

Abstract: The new objective of sustainable analytical chemistry is to develop validated robust, swift, simple and highly sensitive analytical methods that are based on cost effective sensing technology. Therefore, in this study the electro-chemical detection of ... ...

Abstract	The new objective of sustainable analytical chemistry is to develop validated robust, swift, simple and highly sensitive analytical methods that are based on cost effective sensing technology. Therefore, in this study the electro-chemical detection of coenzyme Q10 (CoQ10) was achieved using a fluorene intercalated graphene oxide based CoQ10 imprinted polymer composite modified glassy carbon electrode (CoQ10-IGOPC/GCE). The synthesized sensing material was characterized using SEM, XRD and FT-IR to determine the morphology and functional properties. The CoQ10-IGOPC/GCE was characterized by EIS for its electrochemical properties. CoQ10 was detected selectively using Differential Pulse Voltammetry (DPV). Under ideal circumstances, a linear calibration curve with a correlation coefficient (
Language	English
Publishing date	2022-11-04
Publishing country	England
Document type	Journal Article
ISSN	2046-2069
ISSN (online)	2046-2069
DOI	10.1039/d2ra05401a
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Human Coronavirus Spike Protein Based Multi-Epitope Vaccine against COVID-19 and Potential Future Zoonotic Coronaviruses by Using Immunoinformatic Approaches

Zulqarnain Baloch / Aqsa Ikram / Saba Shamim / Ayesha Obaid / Faryal Mehwish Awan / Anam Naz / Bisma Rauff / Khadija Gilani / Javed Anver Qureshi

Vaccines, Vol 10, Iss 1150, p

2022 Volume 1150

Abstract: Zoonotic coronaviruses (CoV) have emerged twice and have caused severe respiratory diseases in humans. Due to the frequent outbreaks of different human coronaviruses (HCoVs), the development of a pan-HCoV vaccine is of great importance. Various conserved ...

Abstract	Zoonotic coronaviruses (CoV) have emerged twice and have caused severe respiratory diseases in humans. Due to the frequent outbreaks of different human coronaviruses (HCoVs), the development of a pan-HCoV vaccine is of great importance. Various conserved epitopes shared by HCoVs are reported to induce cross-reactive T-cell responses. Therefore, this study aimed to design a multi-epitope vaccine, targeting the HCoV spike protein. Genetic analysis revealed that the spike region is highly conserved among SARS-CoV-2, bat SL-CoV, and SARS-CoV. By employing the immunoinformatic approach, we prioritized 20 MHC I and 10 MHCII conserved epitopes to design a multi-epitope vaccine. This vaccine candidate is anticipated to strongly elicit both humoral and cell-mediated immune responses. These results warrant further development of this vaccine into real-world application.
Keywords	SARS-CoV-2 ; bat SL-CoV and SARS-CoV ; immunoinformatics ; vaccine ; Medicine ; R
Subject code	570
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Data_Sheet_1_Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach.docx

Anam Naz / Fatima Shahid / Tariq Tahir Butt / Faryal Mehwish Awan / Amjad Ali / Arif Malik

2020

Abstract: A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation ...

Abstract	A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation to SARS-coronavirus along with few changes in its spike protein. The spike protein aids in receptor binding and viral entry within the host and therefore represents a potential target for vaccine and therapeutic development. In the current study, the spike protein of SARS-CoV-2 was explored for potential immunogenic epitopes to design multi-epitope vaccine constructs. The S1 and S2 domains of spike proteins were analyzed, and two vaccine constructs were prioritized with T-cell and B-cell epitopes. We adapted a comprehensive predictive framework to provide novel insights into immunogenic epitopes of spike proteins, which can further be evaluated as potential vaccine candidates against COVID-19. Prioritized epitopes were then modeled using linkers and adjuvants, and respective 3D models were constructed to evaluate their physiochemical properties and their possible interactions with ACE2, HLA Superfamily alleles, TLR2, and TLR4.
Keywords	Immunology ; Applied Immunology (incl. Antibody Engineering ; Xenotransplantation and T-cell Therapies) ; Autoimmunity ; Cellular Immunology ; Humoural Immunology and Immunochemistry ; Immunogenetics (incl. Genetic Immunology) ; Innate Immunity ; Transplantation Immunology ; Tumour Immunology ; Immunology not elsewhere classified ; Genetic Immunology ; Animal Immunology ; Veterinary Immunology ; COVID-19 ; coronavirus ; corona vaccine ; spike protein ; S1 domain ; S2 domain ; covid19
Publishing date	2020-07-10T04:14:10Z
Publishing country	uk
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach

Anam Naz / Fatima Shahid / Tariq Tahir Butt / Faryal Mehwish Awan / Amjad Ali / Arif Malik

Frontiers in Immunology, Vol

2020 Volume 11

Abstract	A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation to SARS-coronavirus along with few changes in its spike protein. The spike protein aids in receptor binding and viral entry within the host and therefore represents a potential target for vaccine and therapeutic development. In the current study, the spike protein of SARS-CoV-2 was explored for potential immunogenic epitopes to design multi-epitope vaccine constructs. The S1 and S2 domains of spike proteins were analyzed, and two vaccine constructs were prioritized with T-cell and B-cell epitopes. We adapted a comprehensive predictive framework to provide novel insights into immunogenic epitopes of spike proteins, which can further be evaluated as potential vaccine candidates against COVID-19. Prioritized epitopes were then modeled using linkers and adjuvants, and respective 3D models were constructed to evaluate their physiochemical properties and their possible interactions with ACE2, HLA Superfamily alleles, TLR2, and TLR4.
Keywords	COVID-19 ; coronavirus ; corona vaccine ; spike protein ; S1 domain ; S2 domain ; Immunologic diseases. Allergy ; RC581-607 ; covid19
Subject code	572
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Mapping CircRNA–miRNA–mRNA regulatory axis identifies hsa_circ_0080942 and hsa_circ_0080135 as a potential theranostic agents for SARS-CoV-2 infection

Hassan Ayaz / Nouman Aslam / Faryal Mehwish Awan / Rabea Basri / Bisma Rauff / Badr Alzahrani / Muhammad Arif / Aqsa Ikram / Ayesha Obaid / Anam Naz / Sadiq Noor Khan / Burton B. Yang / Azhar Nazir

PLoS ONE, Vol 18, Iss

2023 Volume 4

Abstract: Non-coding RNAs (ncRNAs) can control the flux of genetic information; affect RNA stability and play crucial roles in mediating epigenetic modifications. A number of studies have highlighted the potential roles of both virus-encoded and host-encoded ... ...

Abstract	Non-coding RNAs (ncRNAs) can control the flux of genetic information; affect RNA stability and play crucial roles in mediating epigenetic modifications. A number of studies have highlighted the potential roles of both virus-encoded and host-encoded ncRNAs in viral infections, transmission and therapeutics. However, the role of an emerging type of non-coding transcript, circular RNA (circRNA) in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has not been fully elucidated so far. Moreover, the potential pathogenic role of circRNA-miRNA-mRNA regulatory axis has not been fully explored as yet. The current study aimed to holistically map the regulatory networks driven by SARS-CoV-2 related circRNAs, miRNAs and mRNAs to uncover plausible interactions and interplay amongst them in order to explore possible therapeutic options in SARS-CoV-2 infection. Patient datasets were analyzed systematically in a unified approach to explore circRNA, miRNA, and mRNA expression profiles. CircRNA-miRNA-mRNA network was constructed based on cytokine storm related circRNAs forming a total of 165 circRNA-miRNA-mRNA pairs. This study implies the potential regulatory role of the obtained circRNA-miRNA-mRNA network and proposes that two differentially expressed circRNAs hsa_circ_0080942 and hsa_circ_0080135 might serve as a potential theranostic agents for SARS-CoV-2 infection. Collectively, the results shed light on the functional role of circRNAs as ceRNAs to sponge miRNA and regulate mRNA expression during SARS-CoV-2 infection.
Keywords	Medicine ; R ; Science ; Q
Subject code	570
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Mapping CircRNA-miRNA-mRNA regulatory axis identifies hsa_circ_0080942 and hsa_circ_0080135 as a potential theranostic agents for SARS-CoV-2 infection.

Hassan Ayaz / Nouman Aslam / Faryal Mehwish Awan / Rabea Basri / Bisma Rauff / Badr Alzahrani / Muhammad Arif / Aqsa Ikram / Ayesha Obaid / Anam Naz / Sadiq Noor Khan / Burton B Yang / Azhar Nazir

PLoS ONE, Vol 18, Iss 4, p e

2023 Volume 0283589

Abstract	Non-coding RNAs (ncRNAs) can control the flux of genetic information; affect RNA stability and play crucial roles in mediating epigenetic modifications. A number of studies have highlighted the potential roles of both virus-encoded and host-encoded ncRNAs in viral infections, transmission and therapeutics. However, the role of an emerging type of non-coding transcript, circular RNA (circRNA) in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has not been fully elucidated so far. Moreover, the potential pathogenic role of circRNA-miRNA-mRNA regulatory axis has not been fully explored as yet. The current study aimed to holistically map the regulatory networks driven by SARS-CoV-2 related circRNAs, miRNAs and mRNAs to uncover plausible interactions and interplay amongst them in order to explore possible therapeutic options in SARS-CoV-2 infection. Patient datasets were analyzed systematically in a unified approach to explore circRNA, miRNA, and mRNA expression profiles. CircRNA-miRNA-mRNA network was constructed based on cytokine storm related circRNAs forming a total of 165 circRNA-miRNA-mRNA pairs. This study implies the potential regulatory role of the obtained circRNA-miRNA-mRNA network and proposes that two differentially expressed circRNAs hsa_circ_0080942 and hsa_circ_0080135 might serve as a potential theranostic agents for SARS-CoV-2 infection. Collectively, the results shed light on the functional role of circRNAs as ceRNAs to sponge miRNA and regulate mRNA expression during SARS-CoV-2 infection.
Keywords	Medicine ; R ; Science ; Q
Subject code	570
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Chimeric vaccine designs against Acinetobacter baumannii using pan genome and reverse vaccinology approaches

Fatima Shahid / Tahreem Zaheer / Shifa Tariq Ashraf / Muhammad Shehroz / Farha Anwer / Anam Naz / Amjad Ali

Scientific Reports, Vol 11, Iss 1, Pp 1-

2021 Volume 15

Abstract: Abstract Acinetobacter baumannii (A. baumannii), an opportunistic, gram-negative pathogen, has evoked the interest of the medical community throughout the world because of its ability to cause nosocomial infections, majorly infecting those in intensive ... ...

Abstract	Abstract Acinetobacter baumannii (A. baumannii), an opportunistic, gram-negative pathogen, has evoked the interest of the medical community throughout the world because of its ability to cause nosocomial infections, majorly infecting those in intensive care units. It has also drawn the attention of researchers due to its evolving immune evasion strategies and increased drug resistance. The emergence of multi-drug-resistant-strains has urged the need to explore novel therapeutic options as an alternative to antibiotics. Due to the upsurge in antibiotic resistance mechanisms exhibited by A. baumannii, the current therapeutic strategies are rendered less effective. The aim of this study is to explore novel therapeutic alternatives against A. baumannii to control the ailed infection. In this study, a computational framework is employed involving, pan genomics, subtractive proteomics and reverse vaccinology strategies to identify core promiscuous vaccine candidates. Two chimeric vaccine constructs having B-cell derived T-cell epitopes from prioritized vaccine candidates; APN, AdeK and AdeI have been designed and checked for their possible interactions with host BCR, TLRs and HLA Class I and II Superfamily alleles. These vaccine candidates can be experimentally validated and thus contribute to vaccine development against A. baumannii infections.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care

Mubashir Hassan / Faryal Mehwish Awan / Anam Naz / Enrique J. deAndrés-Galiana / Oscar Alvarez / Ana Cernea / Lucas Fernández-Brillet / Juan Luis Fernández-Martínez / Andrzej Kloczkowski

International Journal of Molecular Sciences, Vol 23, Iss 4645, p

A Review

2022 Volume 4645

Abstract: Big data in health care is a fast-growing field and a new paradigm that is transforming case-based studies to large-scale, data-driven research. As big data is dependent on the advancement of new data standards, technology, and relevant research, the ... ...

Abstract	Big data in health care is a fast-growing field and a new paradigm that is transforming case-based studies to large-scale, data-driven research. As big data is dependent on the advancement of new data standards, technology, and relevant research, the future development of big data applications holds foreseeable promise in the modern day health care revolution. Enormously large, rapidly growing collections of biomedical omics-data (genomics, proteomics, transcriptomics, metabolomics, glycomics, etc.) and clinical data create major challenges and opportunities for their analysis and interpretation and open new computational gateways to address these issues. The design of new robust algorithms that are most suitable to properly analyze this big data by taking into account individual variability in genes has enabled the creation of precision (personalized) medicine. We reviewed and highlighted the significance of big data analytics for personalized medicine and health care by focusing mostly on machine learning perspectives on personalized medicine, genomic data models with respect to personalized medicine, the application of data mining algorithms for personalized medicine as well as the challenges we are facing right now in big data analytics.
Keywords	genomics ; big data analytics ; personalized medicine ; health ; computational approaches ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	310
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Vaccinomics to Design a Multi-Epitopes Vaccine for Acinetobacter baumannii

Miraj ud-din / Aqel Albutti / Asad Ullah / Saba Ismail / Sajjad Ahmad / Anam Naz / Muhammad Khurram / Mahboob ul Haq / Zobia Afsheen / Youness El Bakri / Muhammad Salman / Bilal Shaker / Muhammad Tahir ul Qamar

International Journal of Environmental Research and Public Health, Vol 19, Iss 5568, p

2022 Volume 5568

Abstract: Antibiotic resistance (AR) is the result of microbes’ natural evolution to withstand the action of antibiotics used against them. AR is rising to a high level across the globe, and novel resistant strains are emerging and spreading very fast. ... ...

Abstract	Antibiotic resistance (AR) is the result of microbes’ natural evolution to withstand the action of antibiotics used against them. AR is rising to a high level across the globe, and novel resistant strains are emerging and spreading very fast. Acinetobacter baumannii is a multidrug resistant Gram-negative bacteria, responsible for causing severe nosocomial infections that are treated with several broad spectrum antibiotics: carbapenems, β-lactam, aminoglycosides, tetracycline, gentamicin, impanel, piperacillin, and amikacin. The A. baumannii genome is superplastic to acquire new resistant mechanisms and, as there is no vaccine in the development process for this pathogen, the situation is more worrisome. This study was conducted to identify protective antigens from the core genome of the pathogen. Genomic data of fully sequenced strains of A. baumannii were retrieved from the national center for biotechnological information (NCBI) database and subjected to various genomics, immunoinformatics, proteomics, and biophysical analyses to identify potential vaccine antigens against A. baumannii . By doing so, four outer membrane proteins were prioritized: TonB-dependent siderphore receptor, OmpA family protein, type IV pilus biogenesis stability protein, and OprD family outer membrane porin. Immuoinformatics predicted B-cell and T-cell epitopes from all four proteins. The antigenic epitopes were linked to design a multi-epitopes vaccine construct using GPGPG linkers and adjuvant cholera toxin B subunit to boost the immune responses. A 3D model of the vaccine construct was built, loop refined, and considered for extensive error examination. Disulfide engineering was performed for the stability of the vaccine construct. Blind docking of the vaccine was conducted with host MHC-I, MHC-II, and toll-like receptors 4 (TLR-4) molecules. Molecular dynamic simulation was carried out to understand the vaccine-receptors dynamics and binding stability, as well as to evaluate the presentation of epitopes to the host immune system. ...
Keywords	Acinetobacter baumannii ; pan-genomics ; core genomics ; epitope vaccine ; molecular dynamics simulations ; Medicine ; R
Subject code	570
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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