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  1. Article ; Online: Secretome-based acellular therapy of bone marrow-derived mesenchymal stem cells in degenerative and immunological disorders

    Fatema Tuz Zohora / Mansur Aliyu / Ali Akbar Saboor-Yaraghi

    Heliyon, Vol 9, Iss 7, Pp e18120- (2023)

    A narrative review

    2023  

    Abstract: The bone marrow (BM) plays a pivotal role in homeostasis by supporting hematopoiesis and immune cells' activation, maturation, interaction, and deployment. “BMSC-derived secretome” refers to the complete repertoire of secreted molecules, including ... ...

    Abstract The bone marrow (BM) plays a pivotal role in homeostasis by supporting hematopoiesis and immune cells' activation, maturation, interaction, and deployment. “BMSC-derived secretome” refers to the complete repertoire of secreted molecules, including nucleic acids, chemokines, growth factors, cytokines, and lipids from BM-derived mesenchymal stem cells (BMSCs). BMSC-derived secretomes are the current molecular platform for acellular therapy. Secretomes are highly manipulable and can be synthesised in vast quantities using commercially accessible cell lines in the laboratory. Secretomes are less likely to elicit an immunological response because they contain fewer surface proteins. Moreover, the delivery of BMSC-derived secretomes has been shown in numerous studies to be an effective, cell-free therapy method for alleviating the symptoms of inflammatory and degenerative diseases. As a result, secretome delivery from BMSCs has the same therapeutic effects as BMSCs transplantation but may have fewer adverse effects. Additionally, BMSCs’ secretome has therapeutic promise for organoids and parabiosis studies. This review focuses on recent advances in secretome-based cell-free therapy, including its manipulation, isolation, characterisation, and delivery systems. The diverse bioactive molecules of secretomes that successfully treat inflammatory and degenerative diseases of the musculoskeletal, cardiovascular, nervous, respiratory, reproductive, gastrointestinal, and anti-ageing systems were also examined in this review. However, secretome-based therapy has some unfavourable side effects that may restrict its uses. Some of the adverse effects of this modal therapy were briefly mentioned in this review.
    Keywords Bone marrow ; Mesenchymal stem cells ; Secretomes ; Acellular therapy ; Degenerative disorders ; Immunological disorders ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 616
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Tea and Tea Product Diversification

    Kanij Fatema Tuz Zohora / Md. Riyadh Arefin

    Turkish Journal of Agriculture: Food Science and Technology, Vol 10, Iss 12, Pp 2334-

    A Review

    2022  Volume 2353

    Abstract: Tea is the most consumed drink after water as well as is one of the prevalent and the cheapest beverage which consumed globally. Tea is considered a healthy beverage due to the presence of several antioxidants and minerals such as potassium, magnesium, ... ...

    Abstract Tea is the most consumed drink after water as well as is one of the prevalent and the cheapest beverage which consumed globally. Tea is considered a healthy beverage due to the presence of several antioxidants and minerals such as potassium, magnesium, calcium & manganese. Different kinds of teas are manufactured in different countries based on taste, habit and culture of the people. Normally, tea can be categorized into three groups: green tea (unfermented), Oolong tea (partially fermented) and black tea (fully fermented) based on tea processing. Tea is a rich source of polyphenols and now-a-days interest in the possible health benefits of polyphenols, particularly flavonoids, has increased owing to their antioxidant and free-radical scavenging abilities. The rising demand of tea is considered one of the significant components for the worldwide beverage market growth. Tea industry makes a vital contribution to the economy of the respective tea producing countries like China, Japan, India, Sri Lanka, Bangladesh, Kenya etc. At the present time with the rising demand of tea it is needed to emphasize for exploring alternative means of increasing profits from tea cultivation. The tea market price is low in Different countries like Srilanka, India, Bangladesh, Kenya etc. comprises with high cost of production. For this reason, there is no alternatives rather than product diversification of tea through value addition which can be an important approach to mitigate the impacts of low market price and high production costs. This review broadly focuses on the issues leading to the development of wide range of tea and tea product diversification. This paper is also associated health benefits with different types of tea, nutraceutical beverage, confectionary items, toiletries and cosmeceuticals which being commercialized in different parts of the world which are gaining consumer acceptance and also face the challenges of global marketing by tea industries that’s are described in this paper.
    Keywords tea ; tea products ; value added tea ; tea industries ; diversification ; Agriculture ; S ; Agriculture (General) ; S1-972
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Turkish Science and Technology Publishing (TURSTEP)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Deep neural network for detecting arbitrary precision peptide features through attention based segmentation

    Fatema Tuz Zohora / M. Ziaur Rahman / Ngoc Hieu Tran / Lei Xin / Baozhen Shan / Ming Li

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

    2021  Volume 16

    Abstract: Abstract A promising technique of discovering disease biomarkers is to measure the relative protein abundance in multiple biofluid samples through liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics. The key step ... ...

    Abstract Abstract A promising technique of discovering disease biomarkers is to measure the relative protein abundance in multiple biofluid samples through liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics. The key step involves peptide feature detection in the LC-MS map, along with its charge and intensity. Existing heuristic algorithms suffer from inaccurate parameters and human errors. As a solution, we propose PointIso, the first point cloud based arbitrary-precision deep learning network to address this problem. It consists of attention based scanning step for segmenting the multi-isotopic pattern of 3D peptide features along with the charge, and a sequence classification step for grouping those isotopes into potential peptide features. PointIso achieves 98% detection of high-quality MS/MS identified peptide features in a benchmark dataset. Next, the model is adapted for handling the additional ‘ion mobility’ dimension and achieves 4% higher detection than existing algorithms on the human proteome dataset. Besides contributing to the proteomics study, our novel segmentation technique should serve the general object detection domain as well.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Cancer related knowledge, attitude, and practice among community health care providers and health assistants in rural Bangladesh

    Nazirum Mubin / Redwan Bin Abdul Baten / Sayeeda Jahan / Fatema Tuz Zohora / Naim Mahmud Chowdhury / Golam Mohiuddin Faruque

    BMC Health Services Research, Vol 21, Iss 1, Pp 1-

    2021  Volume 11

    Abstract: Abstract Background Cancer remains one of the primary causes of death in Bangladesh. The success of cancer control in rural areas depends on the ability of the health care system and workforce to identify and manage cases properly at early stages. ... ...

    Abstract Abstract Background Cancer remains one of the primary causes of death in Bangladesh. The success of cancer control in rural areas depends on the ability of the health care system and workforce to identify and manage cases properly at early stages. Community Health Workers (CHW) can play a vital role in this process. The present study aims to assess cancer related Knowledge, Attitude, and Practice (KAP) among 2 categories of CHWs - Community Health Care Providers (CHCP) and Health Assistants (HA) in rural Bangladesh. Methods A descriptive cross-sectional study was conducted using a self-administered questionnaire from July 2019 to June 2020. Multi-stage sampling technique was used to determine the sample. One Upazilla Health Complex (UHC) from each of the eight administrative divisions of Bangladesh were randomly chosen as study sites, from which 325 CHCPs and HAs were in the final sample. Multivariate logistic regression models were developed to determine the association between KAP scores and demographic variables. Results Our study shows that a modest number of respondents scored above average in the knowledge (54.15%), attitude (58.15%), and practice (65.54%) sections. Majority CHCPs (90.91%) and HAs (96.06%) did not receive govt. training on cancer. Only 20.71% HAs and 25.2% CHCPs knew about the availability of cancer treatment options in Bangladesh. Uncertainty about the availability of relevant treatments or vaccinations at public facilities was also high. Having cancer in the family, income, duration of employment and workplace locations were important predictors of cancer related KAP scores. Conclusion Healthcare workforce’s knowledge gap and unfavorable attitude towards cancer may result in poor delivery of care at the rural level. For many people in rural areas, CHCPs and HAs are the first point of contact with the healthcare system and thus effective cancer control strategies must consider them as key stakeholders. Targeted training programs must be adopted to address the cancer related KAP gaps among ...
    Keywords Healthcare workforce ; Community health care provider ; Health assistant ; Cancer ; Knowledge ; Attitude ; Public aspects of medicine ; RA1-1270
    Subject code 360
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Isolation and In Silico Prediction of Potential Drug-like Compounds with a New Dimeric Prenylated Quinolone Alkaloid from Zanthoxylum rhetsa (Roxb.) Root Extracts Targeted against SARS-CoV-2 (Mpro)

    Fatema Tuz Zohora / A. T. M. Zafrul Azam / Sinthyia Ahmed / Khondaker Miraz Rahman / Mohammad A. Halim / Md. Rafi Anwar / Md. Hossain Sohrab / Fatema Tabassum / Choudhury Mahmood Hasan / Monira Ahsan

    Molecules, Vol 27, Iss 8191, p

    2022  Volume 8191

    Abstract: A new dimeric prenylated quinolone alkaloid, named 2,11-didemethoxy-vepridimerine A, was isolated from the root bark of Zanthoxylum rhetsa , together with twelve known compounds. The structure of the new compound was elucidated on the basis of ... ...

    Abstract A new dimeric prenylated quinolone alkaloid, named 2,11-didemethoxy-vepridimerine A, was isolated from the root bark of Zanthoxylum rhetsa , together with twelve known compounds. The structure of the new compound was elucidated on the basis of spectroscopic investigations (NMR and Mass). The interaction of the isolated compounds with the main protease of SARS-CoV-2 (Mpro) was evaluated using molecular docking followed by MD simulations. The result suggests that 2,11-didemethoxy-vepridimerine A, the new compound, has the highest negative binding affinity against the Mpro with a free energy of binding of −8.5 Kcal/mol, indicating interaction with the Mpro. This interaction was further validated by 100 ns MD simulation. This implies that the isolated new compound, which can be employed as a lead compound for an Mpro-targeting drug discovery program, may be able to block the action of Mpro.
    Keywords Zanthoxylum rhetsa ; 2,11-didemethoxy-vepridimerine A ; SARS-CoV-2 (Mpro) ; 2-quinolone ; benzophenanthridine alkaloids ; Organic chemistry ; QD241-441
    Subject code 540
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: DeepIso

    Fatema Tuz Zohora / M. Ziaur Rahman / Ngoc Hieu Tran / Lei Xin / Baozhen Shan / Ming Li

    Scientific Reports, Vol 9, Iss 1, Pp 1-

    A Deep Learning Model for Peptide Feature Detection from LC-MS map

    2019  Volume 13

    Abstract: Abstract Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics provides the relative different protein abundance in healthy and disease-afflicted patients, which offers the information for molecular interactions, ... ...

    Abstract Abstract Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics provides the relative different protein abundance in healthy and disease-afflicted patients, which offers the information for molecular interactions, signaling pathways, and biomarker identification to serve the drug discovery and clinical research. Typical analysis workflow begins with the peptide feature detection and intensity calculation from LC-MS map. We are the first to propose a deep learning based model, DeepIso, that combines recent advances in Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) to detect peptide features of different charge states, as well as, estimate their intensity. Existing tools are designed with limited engineered features and domain-specific parameters, which are hardly updated despite a huge amount of new coming proteomic data. On the other hand, DeepIso consisting of two separate deep learning based modules, learns multiple levels of representation of high dimensional data itself through many layers of neurons, and adaptable to newly acquired data. The peptide feature list reported by our model matches with 97.43% of high quality MS/MS identifications in a benchmark dataset, which is higher than the matching produced by several widely used tools. Our results demonstrate that novel deep learning tools are desirable to advance the state-of-the-art in protein identification and quantification.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2019-11-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Rural Development and Food Security Through Homestead Vegetable Production

    Kanij Fatema Tuz Zohora / Bir Jahangir Shirazy / Md. Asaduzzaman / Nadia Akter / Saikat Hossain Bhuiyan / A. K. M. Ariful Hoque / A. A. M. Mohammad Mustakim / Md. Maniruzzaman / A. B. M. Zahidul Hoque / Abul Kalam Azad

    Turkish Journal of Agriculture: Food Science and Technology, Vol 10, Iss sp2, Pp 2951-

    A Case Study

    2022  Volume 2960

    Abstract: Cumilla Sadar Dakshin region is highly diverse in respect to land types, topography, agro-ecology, land-use pattern, cropping systems and crop variability & variety. Agricultural development of the region largely depends on the reliable and comprehensive ...

    Abstract Cumilla Sadar Dakshin region is highly diverse in respect to land types, topography, agro-ecology, land-use pattern, cropping systems and crop variability & variety. Agricultural development of the region largely depends on the reliable and comprehensive statistics of the existing cropping cultivation and its related system adopted by the farmers. To investigate the homestead vegetable production and its impact on family nutrition, food security, income generation as well as involvement of female members a survey study was conducted at Cumilla Sadar Dakshin during 2019. A total of 150 selected homesteads were surveyed for this purpose through developed questionnaire and focus group discussion. Both primary and secondary data has been collected from different sources to fulfill the objectives of the study. The results of this study indicated that the farmer’s age, marital status, education level, farm size, source of income, women participation etc. Farmer’s knowledge and farming experiences, perception and attitude differs on different demographic conditions like: age, sex, education, farm size, training which significantly influence the adoption of modern technologies provided by different organizations. The results also showed that women contribution in homestead vegetable production is high in medium farmer’s category 41.67% and low in small farmers 36.36% respectively. The highest number of total vegetables was produced by the medium farmer (63,732 kg/year) followed by small (39,445 kg/year) and marginal farmer (25,514 kg/year). This study provides some recommendation which might impacts on betterment of farmers’ occupational and socio-economic condition by establishing proper policy and legislation both in local and national level administration as well as agricultural extension.
    Keywords food security ; rural development ; women empowerment ; nutrition ; homestead vegetable production ; Agriculture ; S ; Agriculture (General) ; S1-972
    Subject code 910
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Turkish Science and Technology Publishing (TURSTEP)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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