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      <journal-id journal-id-type="publisher-id">journal-of-clinical-obstetrics-and-gynecology-research</journal-id>
      <journal-title-group>
        <journal-title>Journal of Clinical Obstetrics and Gynecology Research</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2766-2756</issn>
      <publisher>
        <publisher-name>Directive Publications</publisher-name>
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    </journal-meta>
    <article-meta>
      <article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></article-categories>
      <title-group>
        <article-title>Application of Flow Cytometry In a Field Of Microbiology A New Horizon For Rapid Microbial Diagnosis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Microbiologist</surname>
            <given-names>Consultant</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>College</surname>
            <given-names>Al Nafees Medical</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub">
        <day>19</day>
        <month>06</month>
        <year>2026</year>
      </pub-date>
      <permissions>
        <copyright-statement>© 2026 The Author(s). Published by Directive Publications.</copyright-statement>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0).</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Diagnostics are the backbone for the provision of good quality health care facilities to community. With the innovation in science and technology, many new modalities are coming up having certain benefits and limitations. Though in microbiology culture and sensitivity is still a gold standard but with certain limitation like increased time consumption, less automation, deficiency for the provision of microbial proteiomic and genomic details. Therefore, in era of increased anti microbial resistance, the scenario is urging for the availability of novel, automated, rapid, cost effective, and more sensitive strategies to combat the situation. Therefore the objectives of this review article was to provide an evidence regarding application of flow cytometry in a field of microbiology. It is concluded that flow cytometric method is a rapid, accurate and more sensitive method for simultaneous identification and quantification of microbial physiological and compositional states</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Flow-cytometry</kwd>
        <kwd>Microbiology</kwd>
        <kwd>Microbial Diagnosis</kwd>
        <kwd>Sensitivity And Specificity Of Flow Cytometry</kwd>
        <kwd>Anti Microbial Resistance</kwd>
        <kwd>Proteomic Analysis</kwd>
        <kwd>Genomic Analysis</kwd>
      </kwd-group>
    </article-meta>
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      <p>Journal of Clinical Obs tetrics and Gynecology R esearch Review Article Application of Flow-Cytometry In a Field Of Microbiology; A New Horizon For Rapid Microbial Diagnosis Prof. Dr. Humaira Zafar, Prof. Dr. Irfan Ali Mirza, Dr. Muhammad Fayyaz, Dr. Wajid Hussain Prof. Dr. Humaira Zafar, Professor of Pathology, Consultant Microbiologist, Al Nafees Medical College &amp; Hospital, Islamabad, Pakistan Contribution: Initiation of idea for research, Manuscript writing along with finalization &amp; Correspond ing author Prof. Dr. Irfan Ali Mirza , Professor of Pathology, Consultant Microbiologist, National University of Medical Sciences, Rawalpindi. Pakistan Email: irfanmirza51@hotmail.com Contribution: Topic finalization in view of its novelty, Supervising write up for entire manuscript and it’s finalization prior submission Dr. Muhammad Fayyaz Assistant Professor of Pathology, Consultant Microbiologist, Armed Forces Institute of Cardiology &amp; National Institute of Heart Diseases, National University of Medical Sciences, Rawalpindi. Pakistan. Email: fayyaztaggar@gmail.com Contribution: Reference gathering based upon study objectives and introduction write up Dr. Wajid Hussain, Associate Professor of Pathology, Consultant Microbiologist, Armed Forces Institute of Pathology, National University of Medical Sciences, Rawalpindi. Pakistan Email: hussain.wajid10@gamil.com Contribution: Reference gathering and their short listing based upon study objectives</p>
      <p>Corresponding Author Dr. Humaira Zafar Prof of Pathology, Consultant Microbiologist,Department of Pathology Al Nafees Medical College &amp; Hospital,Isra University Islamabad Campus, Pakistan Email: dr.humairazafar@yahoo.com Cell#0333-5242761 Received Date: May 23 2022 Accepted Date: May 24 2022 Published Date: June 23 2022 www.directivepublications.org/ Page - 01</p>
      <p>Journal of Clinical Obstetrics and Gynecology ResearchReview Article ABSTRACT Diagnostics are the backbone for the provision of good quality health care facilities to community. With the innovation in science and technology, many new modalities are coming up having certain benefits and limitations. Though in microbiology culture and sensitivity is still a gold standard but with certain limitation like increased time consumption, less automation, deficiency for the provision of microbial proteiomic and genomic details. Therefore, in era of increased anti microbial resistance, the scenario is urging for the availability of novel, automated, rapid, cost effective, and more sensitive strategies to combat the situation. Therefore the objectives of this review article was to provide an evidence regarding application of flow cytometry in a field of microbiology. It is concluded that flow cytometric method is a rapid, accurate and more sensitive method for simultaneous identification and quantification of microbial physiological and compositional states Keywords Flow-cytometry, Microbiology, Microbial Diagnosis, Sensitivity And Specificity Of Flow Cytometry, Anti Microbial Resistance, Proteomic Analysis, Genomic Analysis INTRODUCTION The encroachments in science and technology is opening up new horizons for better health care opportunities. Diagnostics are the backbone for any such innovation. Novel diagnostic approaches are contributing for the provision of more sensitive and specific results to provide share for good health care. Flow cytometry (FCM) is one of such sophisticated techniques well known for decades regarding it’s utility for proteiomic analysis. But now it’s utility is coming up in the field of microbiology to identify microbes with similar population. It works on a principle of light scattering and fluorescence emission by the specific fluorescently labelled probes and cells, upon their passage through a laser beam. 1</p>
      <p>A high throughput, rapid proceedings, quantitative evaluation and multi-parametric analysis of cell populations even at a single cell level are the biggest advantages of FCM. Moreover, based upon size, shape, complexity, and ability to fluorescence measurements at multiple wavelengths, it assists physical sorting to further subpopulations. This helps better comprehension for identifying fluorescently labelled antibodies, fluorescent proteins, DNA binding dyes, viability dyes, and ion indicator dyes. The further advance advancements in traditional FCM includes imaging FCM, mass cytometry and Raman FCM, having added sensitivity and specificity even to analyze 30-50 or more parameters on a single cell. 2 In microbiology, culture and sensitivity is still a gold standard. Along with it’s few limitations to rapidly identify microbe and it’s drug susceptibility plus an immensely added Global burden of anti-microbial resistance, is urging for the availability of novel and authentic diagnostic modality. The evolution of techniques and technologies over the past two decades, like recombinant technology, next-generation sequencing, nucleic acid sequence based assays, Sanger sequencing, metagenomics sequencing, multiplex PCR via microarray, etc are contributing with certain pros and cons to enhance health care facilities. 3 LITERATURE REVIEW In view of Global health statistics, gastro intestinal infections are having the highest prevalence amongst adolescent and adult age groups. 3 The human gut holds billions of microorganisms, collectively referred to as the microbiota. These are considered to play important roles in human health and disease. 4 About 50% of the bacteria comprising the human gut microbiota lack a complete reference genome to study their disease pattern. 3,4 Here comes a limitation with a gold standard culture and sensitivity used in microbiology. By which microbe and drug susceptibility can be identified but not the genomic and proteomic details of microbe responsible for disease. Besides this even cultivating few members of microbiota is still a challenging task for health care providers. 5 Especially when things be narrowing down and coming at a level of differentiation at species and strains in complex genomes. 6,7</p>
      <p>Even taking in consideration the metagenomic sequencing, helps estimation of 3 million unique predicted genes in the microbiota of gut. But the easy availability and lack of skills to handle such delicate approaches comes in it’s limitation. 8-10</p>
      <p>Further elaborating metagenomics-based approaches reveal the functional potential of microbial communities. They are less sensitive to appropriately link genetic features i.e bacterial genes and mobile genetic elements, amongst each other and to main bacterial genomes. Their inadequacy to capture bacterial microdiversity based upon genus, species/ strain within complex communities is an added limitation. Somewhat utilizing fluorescence-activated cell sorting and flow cytometric separation even uptil a level of single bacterial cells from the human microbiota is filling up the gap. It helps to differentiate between functional potential and variation for diverse elements between individual microbes in the human microbiota. 11 The microfluidic flow cytometric approach was well introduced for human and eukaryotic cells identification. It helps isolation of even single microbial cells from the samples. This is comparable with a traditional flow cytometry which generally targets the populations of cells with specific properties, and have focused less on capturing single cells. The limitation is www.directivepublications.org/ Page - 02</p>
      <p>Journal of Clinical Obstetrics and Gynecology ResearchReview Article better covered by microfluidics flow cytometry, which is less expensive, simpler, easily handled and more autonomous alternative to conventional flow cytometers. The point-of- care diagnostics is one of the added benefits for its on-site analyses. 12 Besides well-known use of blood samples, stool sample can also be used to study relationships between bacteria and bacteriophages in the human gut via microfluidics flow cytometry. 13-15 One more published study emphasized utilization of flow cytometry and cell sorting to isolate, separate, and cultivate new strains for commensal of fecal material. They have focused aerobic Faecalibacterium prausnitzii species and Christensenella minuta species for said evidence. It was also identified that targeted cell-sorting under anaerobic conditions is a promising tool for the study of fecal microbiota. Identification of proteiomic details using specific antibodies had also proven successful outcome. 16 A published report by Dossou N etal, in Journal of Microbiology Spectrum concluded that biological processing can also done on flow-cytometry. He emphasized that analysis and interpretation of these fluids plays a significant role in early diagnosing and hence managing the disease. Despite a well- known gold standard i.e manual counting chambers, Gram/ ZN staining and cultures, certain limitation with identified upon comparative analysis with flow cytometry. The predictive values for cell counts were found higher in culture and direct Gram stain positive specimens. Hence concluded that flow cytometry can be used to upstream cytological and microbiological routine procedures for rapid and accurate and diagnosis of infection in biological fluid samples. 17 Another study by Allain M etal in 2019 had provided a strong evidence for the good utility of flowcytometry to study urine analysis, when compared to optical microscopy and culture. The results showed that microscopy/flow cytometry discrepancy rate was 8.5% for WBCs, and 16% for RBCs. The majority of these discrepancies corresponded to quantities close to the clinical threshold, mostly higher by automatic than by microscopic counts. Moreover a good sensitivity was observed for the identification of population groups of Gram positive and Gram negative bacilli, when compared with culture results. 18 The usage of blood sample was supported by another published study in which flow cytometry assay for intracellular cytokine staining (FC-ICS) was introduced. The FC-ICS was compared with a commercially-available cytokine release assay (the QuantiFERON® SARS-CoV-2 Test [QF]) for detection and quantification of SARS-CoV-2-Spike (S)-reactive-IFN-γ- producing T cells after COVID-19 vaccination. The results showed that a greater sensitivity for FC-ICS assay upon QF test. However it was clarified that a caution showed be taken when equating SARS-CoV-2 T-cell immune responses using diverse analytical platforms. 19,20 Conclusion It is concluded that flow cytometric method is a rapid, accurate and more sensitive method for simultaneous identification and quantification of microbial physiological and compositional states RECOMMENDATIONS 1. The microbiologist, molecular genetic specialists and researchers should join hands to do do extensive origi- nal prospective research to provide strong evidence for flowcytemtic evaluation in microbiology. This is in view of limited original research data focusing it’s utility 2. The microbiologist, molecular genetic specialists and researchers should join hands to utilize flow cytometry modality focusing simultaneously identification of ge- nomic and proteiomic details. 3. In view of increase emergence of anti microbial resis- tance, there is dire need for early availability of this test as part of routine microbiological testing so that time accurate management can be started. REFERENCES 1. Manohar S, Shah P, Nair A. Flow cytometry: principles, applications and recent advances. Bioanalysis. 2021;13(3):181-198. doi: 10.4155/bio-2020-0267. 2. Schmit T, Klomp M , Khan MN. An Overview of Flow Cytometry: Its Principles and Applications in Allergic Disease Research. Methods Mol Biol . 2021;22(23):169- 182. doi: 10.1007/978-1-0716-1001-5_13. 3. Nayfach S, Shi ZJ, Seshadri R, Pollard KS, Kyrpides NC. New insights from uncultivated genomes of the global human gut microbiome. Nature. 2019;568(7753):505– 510. doi:https://doi.org/10.1038/s41586-019-1058-x. 4. Maduell FE, Pascual C. The origins of gut microbiome research in Europe: from Escherich to Nissle. Hum Microbiome J. 2019;14(100065):100065. doi:https://doi. org/10.1016/j.humic.2019.100065. 5. Forster SC, Forster SC, Anonye BO, Kumar N, Neville BA, Stares MD, etal. Culturing of ‘unculturable’ human microbiota reveals novel taxa and extensive www.directivepublications.org/ Page - 03</p>
      <p>Journal of Clinical Obstetrics and Gynecology ResearchReview Article sporulation. Nature. 2016;533(7604):543–546. doi:https://doi.org/10.1038/nature17645. 6. Johnson JS, Spakowicz DJ, Hong BY, Petersen LM, Demkowicz P, Chen L, etal. Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat Commun. 2019;10(1):1–11. doi:https:// doi.org/10.1038/s41467-019-13036-1. 7. Breitwieser FP, Lu J, Salzberg SL. A review of methods and databases for metagenomic classification and assembly. Brief Bioinform. 2018;20(4):1125–1139. doi:https://doi.org/10.1093/bib/bbx120. 8. Manor O, Borenstein E. Revised computational metagenomic processing uncovers hidden and biologically meaningful functional variation in the human microbiome. Microbiome. 2017;5(1):1–11. doi:https://doi.org/10.1186/s40168-017-0231-4. 9. Miyoshi J, Rao MC, Chang EB. Navigating the human gut microbiome: pathway to success from lessons learned. Gastroenterol. 2020;159(6):2019–2024. doi:https://doi. org/10.1053/j.gastro.2020.09.002. 10. Anyansi C, Straub TJ, Manson AL, Earl AM, Abeel T. Computational methods for strain-level microbial detection in colony and metagenome sequencing data. Front Microbiol. 2020;11:1–17. doi:https://doi. org/10.3389/fmicb.2020.01925. 11. Lawrence D, Campbell DE, Schriefer LA, Rodgers R, Walker FC, Turkin M,etal. Single-cell genomics for resolution of conserved bacterial genes and mobile genetic elements of the human intestinal microbiota using flow cytometry. Gut Microbes. 2022;14(1):2029673. doi: 10.1080/19490976.2022.2029673. 12. Shrirao AB, Fritz Z, Novik EM, Yarmush GM, Schloss RS, Zahn JD, etal. Microfluidic flow cytometry: The role of microfabrication methodologies, performance and functional specification. 2018. Technology Singap World Sci. 2018; 6(1): 1–23. doi: 10.1142/S2339547818300019 13. Zheng W, Zhao S, Yin Y, Zhang H, Needham D, Evans E, etal. Microbe-seq : high-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome. BioRxiv. 2020:1–24 doi: https://doi. org/10.1101/2020.12.14.422699. 14. Stepanauskas R, Fergusson EA, Brown J, Poulton NJ, Tupper B, Labonté JM, etal. Improved genome recovery and integrated cell-size analyses of individual uncultured microbial cells and viral particles. Nat Commun. 2017;8(1):84. doi: https://doi.org/10.1038/ s41467-017-00128-z. 15. Brown JM, Labonté JM, Brown J, Record NR, Poulton NJ, Sieracki ME, etal. Single cell genomics reveals viruses consumed by marine protists. Front Microbiol. 2020;11:1–12. doi: https://doi.org/10.3389/fmicb.2020.524828. 16. Džunková M, Low SJ, Daly JN, Deng L, Rinke C, Hugenholtz P, etal. Defining the human gut host–phage network through single-cell viral tagging. Nature Microbiol. 2019;4(12):2192–2203. doi:https://doi.org/10.1038/ s41564-019-0526-2. 17. Dossou N , Gaubert I, Moriceau C , Cornet E, Hello SI, Malandain D, eta. Evaluation of Flow Cytometry for Cell Count and Detection of Bacteria in Biological Fluids. Microbiol Spectr. 2022 23;10(1):e0183021. doi: 10.1128/spectrum.01830-21. 18. Allain M, Sun K, Predal C, Nassif X, Ferroni A. Performance analysis of the Sysmex UF4000/UD10 for diagnosis of urinary tract infections. Ann Biol Clin. 2019 ;77(6):645-650. doi: 10.1684/abc.2019.1504. 19. Tormo N, Giménez E, Navarro MM, Albert E, Navalpotro D, Torres I, etal. Performance comparison of a flow cytometry immunoassay for intracellular cytokine staining and the QuantiFERON® SARS- CoV-2 test for detection and quantification of SARS- CoV-2-Spike-reactive-IFN-γ-producing T cells after COVID-19 vaccination. Eur J Clin Microbiol Infect Dis. 2022;41(4):657-662. doi: 10.1007/s10096-022-04422-7. 20. Birge D, Duygan O, Meer JRV. Recent advances in microbial community analysis from machine learning of multiparametric flow cytometry data. Curr Opin Biotechnol. 2022;75:102688. doi: 10.1016/j. copbio.2022.102688. www.directivepublications.org/ Page - 04</p>
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