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  1. Article: Editorial: Biomarkers in Pulmonary Diseases.

    Mahboub, Bassam / Hamoudi, Rifat / Hachim, Mahmood Yaseen / Busch, Hauke

    Frontiers in medicine

    2022  Volume 9, Page(s) 790475

    Language English
    Publishing date 2022-03-11
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2022.790475
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Divulging a Pleiotropic Role of Succinate Receptor

    Najm, Rania / Hachim, Mahmood Yaseen / Kandasamy, Richard K

    Cancers

    2022  Volume 14, Issue 24

    Abstract: The succinate receptor, SUCNR1, has been attributed to tumor progression, metastasis, and immune response modulation upon its activation via the oncometabolite succinate. Nonetheless, little is known about the prognostic relevance of SUCNR1 and its ... ...

    Abstract The succinate receptor, SUCNR1, has been attributed to tumor progression, metastasis, and immune response modulation upon its activation via the oncometabolite succinate. Nonetheless, little is known about the prognostic relevance of SUCNR1 and its association with tumor immune infiltrates and microbiota in renal cell carcinoma (RCC). Herein, publicly available platforms including Human Protein Atlas, cBioPortal, TIMER2.0, and TISIDB were utilized to depict a divergent implication of SUCNR1 in the immune microenvironment of clear cell RCC (KIRC) and papillary RCC (KIRP); the two major subtypes of RCC. Our results showed that the SUCNR1 expression level was augmented in RCC compared to other solid cancers, yet with opposite survival rate predictions in RCC subtypes. Consequently, a higher expression level of SUCNR1 was associated with a good disease-specific survival rate (
    Language English
    Publishing date 2022-12-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers14246064
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Editorial

    Bassam Mahboub / Rifat Hamoudi / Mahmood Yaseen Hachim / Hauke Busch

    Frontiers in Medicine, Vol

    Biomarkers in Pulmonary Diseases

    2022  Volume 9

    Keywords artificial intelligence ; pulmonary ; biomarker ; genes ; clinical ; Medicine (General) ; R5-920
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online ; Thesis: The use of integrative OMICs to decipher heterogeneous chronic complex disease mechanism

    Al Mashhadani, Mahmood Yaseen Hachim [Verfasser]

    severe asthma as a model

    2021  

    Author's details Mahmood Yaseen Hachim Al Mashhadani
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language English
    Publisher Zentrale Hochschulbibliothek Lübeck
    Publishing place Lübeck
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  5. Article ; Online: Using publicly available transcriptomic data to identify mechanistic and diagnostic biomarkers in azoospermia and overall male infertility.

    Omolaoye, Temidayo S / Hachim, Mahmood Yaseen / du Plessis, Stefan S

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 2584

    Abstract: Azoospermia, which is the absence of spermatozoa in an ejaculate occurring due to defects in sperm production, or the obstruction of the reproductive tract, affects about 1% of all men and is prevalent in up to 10-15% of infertile males. Conventional ... ...

    Abstract Azoospermia, which is the absence of spermatozoa in an ejaculate occurring due to defects in sperm production, or the obstruction of the reproductive tract, affects about 1% of all men and is prevalent in up to 10-15% of infertile males. Conventional semen analysis remains the gold standard for diagnosing and treating male infertility; however, advances in molecular biology and bioinformatics now highlight the insufficiency thereof. Hence, the need to widen the scope of investigating the aetiology of male infertility stands pertinent. The current study aimed to identify common differentially expressed genes (DEGs) that might serve as potential biomarkers for non-obstructive azoospermia (NOA) and overall male infertility. DEGs across different datasets of transcriptomic profiling of testis from human patients with different causes of infertility/ impaired spermatogenesis and/or azoospermia were explored using the gene expression omnibus (GEO) database. Following the search using the GEOquery, 30 datasets were available, with 5 meeting the inclusion criteria. The DEGs for datasets were identified using limma R packages through the GEO2R tool. The annotated genes of the probes in each dataset were intersected with DEGs from all other datasets. Enriched Ontology Clustering for the identified genes was performed using Metascape to explore the possible connection or interaction between the genes. Twenty-five DEGs were shared between most of the datasets, which might indicate their role in the pathogenesis of male infertility. Of the 25 DEGs, eight genes (THEG, SPATA20, ROPN1L, GSTF1, TSSK1B, CABS1, ADAD1, RIMBP3) are either involved in the overall spermatogenic processes or at specific phases of spermatogenesis. We hypothesize that alteration in the expression of these genes leads to impaired spermatogenesis and, ultimately, male infertility. Thus, these genes can be used as potential biomarkers for the early detection of NOA.
    MeSH term(s) Azoospermia/complications ; Biomarkers/analysis ; Case-Control Studies ; Computational Biology/methods ; Gene Expression Profiling ; Humans ; Infertility, Male/diagnosis ; Infertility, Male/etiology ; Infertility, Male/genetics ; Male ; Transcriptome
    Chemical Substances Biomarkers
    Language English
    Publishing date 2022-02-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-06476-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: The Role of Systems Biology in Deciphering Asthma Heterogeneity.

    Hachim, Mahmood Yaseen / Alqutami, Fatma / Hachim, Ibrahim Yaseen / Heialy, Saba Al / Busch, Hauke / Hamoudi, Rifat / Hamid, Qutayba

    Life (Basel, Switzerland)

    2022  Volume 12, Issue 10

    Abstract: Asthma is one of the most common and lifelong and chronic inflammatory diseases characterized by inflammation, bronchial hyperresponsiveness, and airway obstruction episodes. It is a heterogeneous disease of varying and overlapping phenotypes with many ... ...

    Abstract Asthma is one of the most common and lifelong and chronic inflammatory diseases characterized by inflammation, bronchial hyperresponsiveness, and airway obstruction episodes. It is a heterogeneous disease of varying and overlapping phenotypes with many confounding factors playing a role in disease susceptibility and management. Such multifactorial disorders will benefit from using systems biology as a strategy to elucidate molecular insights from complex, quantitative, massive clinical, and biological data that will help to understand the underlying disease mechanism, early detection, and treatment planning. Systems biology is an approach that uses the comprehensive understanding of living systems through bioinformatics, mathematical, and computational techniques to model diverse high-throughput molecular, cellular, and the physiologic profiling of healthy and diseased populations to define biological processes. The use of systems biology has helped understand and enrich our knowledge of asthma heterogeneity and molecular basis; however, such methods have their limitations. The translational benefits of these studies are few, and it is recommended to reanalyze the different studies and omics in conjugation with one another which may help understand the reasons for this variation and help overcome the limitations of understanding the heterogeneity in asthma pathology. In this review, we aim to show the different factors that play a role in asthma heterogeneity and how systems biology may aid in understanding and deciphering the molecular basis of asthma.
    Language English
    Publishing date 2022-10-08
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life12101562
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Higher Temperatures, Higher Solar Radiation, and Less Humidity Is Associated With Poor Clinical and Laboratory Outcomes in COVID-19 Patients.

    Hachim, Mahmood Yaseen / Hachim, Ibrahim Y / Naeem, Kashif / Hannawi, Haifa / Al Salmi, Issa / Hannawi, Suad

    Frontiers in public health

    2021  Volume 9, Page(s) 618828

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Age Factors ; COVID-19/epidemiology ; COVID-19/mortality ; Comorbidity ; Hospitalization ; Hot Temperature ; Humidity ; Sunlight ; United Arab Emirates/epidemiology ; Weather
    Language English
    Publishing date 2021-03-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2021.618828
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The Role of Systems Biology in Deciphering Asthma Heterogeneity

    Mahmood Yaseen Hachim / Fatma Alqutami / Ibrahim Yaseen Hachim / Saba Al Heialy / Hauke Busch / Rifat Hamoudi / Qutayba Hamid

    Life, Vol 12, Iss 10, p

    2022  Volume 1562

    Abstract: Asthma is one of the most common and lifelong and chronic inflammatory diseases characterized by inflammation, bronchial hyperresponsiveness, and airway obstruction episodes. It is a heterogeneous disease of varying and overlapping phenotypes with many ... ...

    Abstract Asthma is one of the most common and lifelong and chronic inflammatory diseases characterized by inflammation, bronchial hyperresponsiveness, and airway obstruction episodes. It is a heterogeneous disease of varying and overlapping phenotypes with many confounding factors playing a role in disease susceptibility and management. Such multifactorial disorders will benefit from using systems biology as a strategy to elucidate molecular insights from complex, quantitative, massive clinical, and biological data that will help to understand the underlying disease mechanism, early detection, and treatment planning. Systems biology is an approach that uses the comprehensive understanding of living systems through bioinformatics, mathematical, and computational techniques to model diverse high-throughput molecular, cellular, and the physiologic profiling of healthy and diseased populations to define biological processes. The use of systems biology has helped understand and enrich our knowledge of asthma heterogeneity and molecular basis; however, such methods have their limitations. The translational benefits of these studies are few, and it is recommended to reanalyze the different studies and omics in conjugation with one another which may help understand the reasons for this variation and help overcome the limitations of understanding the heterogeneity in asthma pathology. In this review, we aim to show the different factors that play a role in asthma heterogeneity and how systems biology may aid in understanding and deciphering the molecular basis of asthma.
    Keywords asthma ; systems biology ; multi-omics ; Science ; Q
    Subject code 501
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Toxicogenomic analysis of publicly available transcriptomic data can predict food, drugs, and chemical-induced asthma.

    Hachim, Mahmood Yaseen / Hachim, Ibrahim Yaseen / Elemam, Noha M / Hamoudi, Rifat A

    Pharmacogenomics and personalized medicine

    2019  Volume 12, Page(s) 181–199

    Abstract: Background: : With the increasing incidence of asthma, more attention is focused on the diverse and complex nutritional and environmental triggers of asthma exacerbations. Currently, there are no established risk assessment tools to evaluate asthma ... ...

    Abstract Background: : With the increasing incidence of asthma, more attention is focused on the diverse and complex nutritional and environmental triggers of asthma exacerbations. Currently, there are no established risk assessment tools to evaluate asthma triggering potentials of most of the nutritional and environmental triggers encountered by asthmatic patients.
    Purpose:  The objective of this study is to devise a reliable workflow, capable of estimating the toxicogenomic effect of such factors on key player genes in asthma pathogenesis.
    Methods: Gene expression extracted from publicly available datasets of asthmatic bronchial epithelium were subjected to a comprehensive analysis of differential gene expression to identify significant genes involved in asthma development and progression. The identified genes were subjected to Gene Set Enrichment Analysis using a total of 31,826 gene sets related to chemical, toxins, and drugs to identify common agents that share similar asthma-related targets genes and signaling pathways.
    Results: Our analysis identified 225 differentially expressed genes between severe asthmatic and healthy bronchial epithelium. Gene Set Enrichment Analysis of the identified genes showed that they are involved in response to toxic substances and organic cyclic compounds and are targeted by 41 specific diets, plants products, and plants related toxins (eg adenine, arachidonic acid, baicalein, caffeic acid, corilagin, curcumin, ellagic acid, luteolin, microcystin-RR, phytoestrogens, protoporphyrin IX, purpurogallin, rottlerin, and salazinic acid). Moreover, the identified chemicals share interesting inflammation-related pathways like NF-κB.
    Conclusion: Our analysis was able to explain and predict the toxicity in terms of stimulating the differentially expressed genes between severe asthmatic and healthy epithelium. Such an approach can pave the way to generate a cost-effective and reliable source for asthma-specific toxigenic reports thus allowing the asthmatic patients, physicians, and medical researchers to be aware of the potential triggering factors with fatal consequences.
    Language English
    Publishing date 2019-08-26
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2508173-1
    ISSN 1178-7066
    ISSN 1178-7066
    DOI 10.2147/PGPM.S217535
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Omics and Male Infertility: Highlighting the Application of Transcriptomic Data.

    Omolaoye, Temidayo S / Omolaoye, Victor A / Kandasamy, Richard K / Hachim, Mahmood Yaseen / Du Plessis, Stefan S

    Life (Basel, Switzerland)

    2022  Volume 12, Issue 2

    Abstract: Male infertility is a multifaceted disorder affecting approximately 50% of male partners in infertile couples. Over the years, male infertility has been diagnosed mainly through semen analysis, hormone evaluations, medical records and physical ... ...

    Abstract Male infertility is a multifaceted disorder affecting approximately 50% of male partners in infertile couples. Over the years, male infertility has been diagnosed mainly through semen analysis, hormone evaluations, medical records and physical examinations, which of course are fundamental, but yet inefficient, because 30% of male infertility cases remain idiopathic. This dilemmatic status of the unknown needs to be addressed with more sophisticated and result-driven technologies and/or techniques. Genetic alterations have been linked with male infertility, thereby unveiling the practicality of investigating this disorder from the "omics" perspective. Omics aims at analyzing the structure and functions of a whole constituent of a given biological function at different levels, including the molecular gene level (genomics), transcript level (transcriptomics), protein level (proteomics) and metabolites level (metabolomics). In the current study, an overview of the four branches of omics and their roles in male infertility are briefly discussed; the potential usefulness of assessing transcriptomic data to understand this pathology is also elucidated. After assessing the publicly obtainable transcriptomic data for datasets on male infertility, a total of 1385 datasets were retrieved, of which 10 datasets met the inclusion criteria and were used for further analysis. These datasets were classified into groups according to the disease or cause of male infertility. The groups include non-obstructive azoospermia (NOA), obstructive azoospermia (OA), non-obstructive and obstructive azoospermia (NOA and OA), spermatogenic dysfunction, sperm dysfunction, and Y chromosome microdeletion. Findings revealed that 8 genes (
    Language English
    Publishing date 2022-02-14
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life12020280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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