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  1. Article: Orthokeratinised odontogenic cyst: A case series.

    Metgud, Rashmi / Anukriti / Naik, Smitha / Tak, Aniruddh

    Journal of oral and maxillofacial pathology : JOMFP

    2023  Volume 27, Issue Suppl 1, Page(s) S64–S68

    Abstract: Orthokeratinised odontogenic cyst (OOC) is a distinct and an uncommon odontogenic cyst of jaw. It was previously considered as orthokeratinized variant of Odontogenic Keratocyst, owing to its same site, age and occurrence and origin. In 2017 WHO ... ...

    Abstract Orthokeratinised odontogenic cyst (OOC) is a distinct and an uncommon odontogenic cyst of jaw. It was previously considered as orthokeratinized variant of Odontogenic Keratocyst, owing to its same site, age and occurrence and origin. In 2017 WHO classified OOC under odontogenic cysts as a distinct entity, clearly separating it from Odontogenic Keratocyst (OKC). In cases of malignant transformation, the cyst shows unclear boundaries. The cases that reported to the department during the period 2019-2021 were retrieved and then reviewed by the authors. A total of 7 cases that met the histopathological criteria for OOC were included in the study. There was a clear male predilection. Age of patients ranged between 17 to 65 years. Most of cases showed Unilocular radiolucency but one case revealed Multilocular pattern. Grossly specimens ranged between 0.5 cm to 3.0cms. Histopathological findings showed all classic features of OOC. FNAC was also done and it is clearly evident that the use of Cytology can help us diagnose the cyst early and is a less invasive method. OOC is a rare type of odontogenic cyst, but while making the diagnosis one should not forget about the fact that it is less aggressive and needs to be differentiated from OKC. Majority times it has been seen that Clinico-radiographic diagnosis given of any circumscribed radiolucency around an impacted tooth is Dentigerous cyst, which is not correct. Diagnosing such lesions require thorough histopathological and radiographical correlation along with molecular analysis to reach final diagnosis.
    Language English
    Publishing date 2023-02-03
    Publishing country India
    Document type Case Reports
    ZDB-ID 2390999-7
    ISSN 1998-393X ; 0973-029X
    ISSN (online) 1998-393X
    ISSN 0973-029X
    DOI 10.4103/jomfp.jomfp_440_21
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  2. Article ; Online: Conserved Transcriptome Features Define Prepubertal Primate Spermatogonial Stem Cells as A

    Singh, Anukriti / Hermann, Brian P

    International journal of molecular sciences

    2023  Volume 24, Issue 5

    Abstract: Antineoplastic treatments for cancer and other non-malignant disorders can result in long-term or permanent male infertility by ablating spermatogonial stem cells (SSCs). SSC transplantation using testicular tissue harvested before a sterilizing ... ...

    Abstract Antineoplastic treatments for cancer and other non-malignant disorders can result in long-term or permanent male infertility by ablating spermatogonial stem cells (SSCs). SSC transplantation using testicular tissue harvested before a sterilizing treatment is a promising approach for restoring male fertility in these cases, but a lack of exclusive biomarkers to unequivocally identify prepubertal SSCs limits their therapeutic potential. To address this, we performed single-cell RNA-seq on testis cells from immature baboons and macaques and compared these cells with published data from prepubertal human testis cells and functionally-defined mouse SSCs. While we found discrete groups of human spermatogonia, baboon and rhesus spermatogonia appeared less heterogenous. A cross-species analysis revealed cell types analogous to human SSCs in baboon and rhesus germ cells, but a comparison with mouse SSCs revealed significant differences with primate SSCs. Primate-specific SSC genes were enriched for components and regulators of the actin cytoskeleton and participate in cell-adhesion, which may explain why the culture conditions for rodent SSCs are not appropriate for primate SSCs. Furthermore, correlating the molecular definitions of human SSC, progenitor and differentiating spermatogonia with the histological definitions of A
    MeSH term(s) Humans ; Male ; Animals ; Mice ; Spermatogonia/metabolism ; Testis ; Spermatogenesis ; Transcriptome ; Primates ; Adult Germline Stem Cells
    Language English
    Publishing date 2023-03-01
    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/ijms24054755
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  3. Article ; Online: Bulk and Single-Cell RNA-Seq Analyses for Studies of Spermatogonia.

    Singh, Anukriti / Hermann, Brian P

    Methods in molecular biology (Clifton, N.J.)

    2023  Volume 2656, Page(s) 37–70

    Abstract: Robust methods have been developed that leverage next-generation sequencing (NGS) to measure abundance of all mRNAs (RNA-seq) in samples as small as individual cells in order to study the testicular transcriptome in mammals. In this chapter, we present ... ...

    Abstract Robust methods have been developed that leverage next-generation sequencing (NGS) to measure abundance of all mRNAs (RNA-seq) in samples as small as individual cells in order to study the testicular transcriptome in mammals. In this chapter, we present robust options for implementing bioinformatics workflows for the analysis of bulk RNA-seq from aggregate samples of hundreds to millions of cells and single-cell RNA-seq from individual cells. We also provide detailed protocols for using the R packages DESeq2 and Seurat, important parameters for successful implementation, and considerations for drawing conclusions from the results.
    MeSH term(s) Male ; Animals ; Spermatogonia ; Single-Cell Gene Expression Analysis ; Transcriptome ; Testis ; RNA-Seq ; Single-Cell Analysis/methods ; Sequence Analysis, RNA/methods ; Gene Expression Profiling/methods ; Mammals
    Language English
    Publishing date 2023-05-30
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-3139-3_4
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  4. Article: Machine learning based predictive model and systems-level network of host-microbe interactions in post-COVID-19 mucormycosis

    Verma, Anukriti / Rathi, Bhawna

    Microbial pathogenesis. 2022 Jan., v. 162

    2022  

    Abstract: Mucormycosis, a rare infection is caused by fungi Mucorales. The affiliation of mucormycosis with Coronavirus disease (COVID-19) is a rising issue of concern in India. There have been numerous case reports of association of rhino-cerebral-orbital, ... ...

    Abstract Mucormycosis, a rare infection is caused by fungi Mucorales. The affiliation of mucormycosis with Coronavirus disease (COVID-19) is a rising issue of concern in India. There have been numerous case reports of association of rhino-cerebral-orbital, angioinvasive, pulmonary, respiratory and gastrointestinal tract related mucormycosis in patients with history of COVID-19. The immune dysregulation, preposterous use of steroids, interleukin-6-directed therapies and mechanical ventilation in COVID-19 immunocompromised individuals hypothesizes and predisposes to advancement of mucormycosis. The gaps in mode of presentation, disease course, diagnosis and treatment of post-COVID-19 mucormycosis requires critical analysis in order to control its morbidity and incidence and for prevention and management of opportunistic infections in COVID-19 patients.Our study performs machine learning, systems biology and bioinformatics analysis of post-COVID-19 mucormycosis in India incorporating multitudinous techniques. Text mining identifies candidate characteristics of post-COVID-19 mucormycosis cases including city, gender, age, symptoms, clinical parameters, microorganisms and treatment. The characteristics are incorporated in a machine learning based disease model resulting in predictive potentiality of characteristics of post-COVID-19 mucormycosis. The characteristics are used to create a host-microbe interaction disease network comprising of interactions between microorganism, host-microbe proteins, non-specific markers, symptoms and drugs resulting in candidate molecules. R1A (Replicase polyprotein 1a) and RPS6 (Ribosomal Protein S6) are yielded as potential drug target and biomarker respectively via potentiality analysis and expression in patients. The potential risk factors, drug target and biomarker can serve as prognostic, early diagnostic and therapeutic molecules in post-COVID-19 mucormycosis requiring further experimental validation and analysis on post-COVID-19 mucormycosis cases.
    Keywords COVID-19 infection ; Mucorales ; Orthocoronavirinae ; biomarkers ; digestive tract ; disease course ; disease models ; drugs ; gender ; host-pathogen relationships ; morbidity ; pathogenesis ; polyproteins ; ribosomal proteins ; therapeutics ; zygomycosis ; India
    Language English
    Dates of publication 2022-01
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 632772-2
    ISSN 1096-1208 ; 0882-4010
    ISSN (online) 1096-1208
    ISSN 0882-4010
    DOI 10.1016/j.micpath.2021.105324
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  5. Article: Role of Helicobacter pylori in Gastric Carcinoma: A Review.

    Kesharwani, Anukriti / Dighe, Onkar R / Lamture, Yashwant

    Cureus

    2023  Volume 15, Issue 4, Page(s) e37205

    Abstract: Gastric cancer (GC) is one of the leading causes of cancer-related deaths globally. Gastritis caused ... ...

    Abstract Gastric cancer (GC) is one of the leading causes of cancer-related deaths globally. Gastritis caused by
    Language English
    Publishing date 2023-04-06
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.37205
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  6. Article: Plica Polonica Secondary to Chemotherapeutic Drugs Combination.

    Pangti, Rashi / Yadav, Anukriti / Mendiratta, Vibhu

    Dermatology practical & conceptual

    2023  Volume 13, Issue 1

    Language English
    Publishing date 2023-01-01
    Publishing country Austria
    Document type Letter
    ZDB-ID 2685397-8
    ISSN 2160-9381
    ISSN 2160-9381
    DOI 10.5826/dpc.1301a61
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  7. Book ; Online: Explaining Drift using Shapley Values

    Edakunni, Narayanan U. / Tekriwal, Utkarsh / Jain, Anukriti

    2024  

    Abstract: Machine learning models often deteriorate in their performance when they are used to predict the outcomes over data on which they were not trained. These scenarios can often arise in real world when the distribution of data changes gradually or abruptly ... ...

    Abstract Machine learning models often deteriorate in their performance when they are used to predict the outcomes over data on which they were not trained. These scenarios can often arise in real world when the distribution of data changes gradually or abruptly due to major events like a pandemic. There have been many attempts in machine learning research to come up with techniques that are resilient to such Concept drifts. However, there is no principled framework to identify the drivers behind the drift in model performance. In this paper, we propose a novel framework - DBShap that uses Shapley values to identify the main contributors of the drift and quantify their respective contributions. The proposed framework not only quantifies the importance of individual features in driving the drift but also includes the change in the underlying relation between the input and output as a possible driver. The explanation provided by DBShap can be used to understand the root cause behind the drift and use it to make the model resilient to the drift.
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2024-01-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Machine learning based predictive model and systems-level network of host-microbe interactions in post-COVID-19 mucormycosis.

    Verma, Anukriti / Rathi, Bhawna

    Microbial pathogenesis

    2021  Volume 162, Page(s) 105324

    Abstract: Mucormycosis, a rare infection is caused by fungi Mucorales. The affiliation of mucormycosis with Coronavirus disease (COVID-19) is a rising issue of concern in India. There have been numerous case reports of association of rhino-cerebral-orbital, ... ...

    Abstract Mucormycosis, a rare infection is caused by fungi Mucorales. The affiliation of mucormycosis with Coronavirus disease (COVID-19) is a rising issue of concern in India. There have been numerous case reports of association of rhino-cerebral-orbital, angioinvasive, pulmonary, respiratory and gastrointestinal tract related mucormycosis in patients with history of COVID-19. The immune dysregulation, preposterous use of steroids, interleukin-6-directed therapies and mechanical ventilation in COVID-19 immunocompromised individuals hypothesizes and predisposes to advancement of mucormycosis. The gaps in mode of presentation, disease course, diagnosis and treatment of post-COVID-19 mucormycosis requires critical analysis in order to control its morbidity and incidence and for prevention and management of opportunistic infections in COVID-19 patients. Our study performs machine learning, systems biology and bioinformatics analysis of post-COVID-19 mucormycosis in India incorporating multitudinous techniques. Text mining identifies candidate characteristics of post-COVID-19 mucormycosis cases including city, gender, age, symptoms, clinical parameters, microorganisms and treatment. The characteristics are incorporated in a machine learning based disease model resulting in predictive potentiality of characteristics of post-COVID-19 mucormycosis. The characteristics are used to create a host-microbe interaction disease network comprising of interactions between microorganism, host-microbe proteins, non-specific markers, symptoms and drugs resulting in candidate molecules. R1A (Replicase polyprotein 1a) and RPS6 (Ribosomal Protein S6) are yielded as potential drug target and biomarker respectively via potentiality analysis and expression in patients. The potential risk factors, drug target and biomarker can serve as prognostic, early diagnostic and therapeutic molecules in post-COVID-19 mucormycosis requiring further experimental validation and analysis on post-COVID-19 mucormycosis cases.
    MeSH term(s) COVID-19 ; Host Microbial Interactions ; Humans ; Machine Learning ; Mucormycosis/diagnosis ; SARS-CoV-2
    Language English
    Publishing date 2021-11-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 632772-2
    ISSN 1096-1208 ; 0882-4010
    ISSN (online) 1096-1208
    ISSN 0882-4010
    DOI 10.1016/j.micpath.2021.105324
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  9. Book ; Online: The fertility-sex ratio trade-off

    Anukriti, S

    unintended consequences of financial incentives

    (Discussion paper series / Forschungsinstitut zur Zukunft der Arbeit ; 8044)

    2014  

    Abstract: Lower fertility can translate into a more male-biased sex ratio if son preference is persistent and technology for sex-selection is easily accessible. This paper investigates whether financial incentives can overcome this trade-off in the context of an ... ...

    Author's details S. Anukriti
    Series title Discussion paper series / Forschungsinstitut zur Zukunft der Arbeit ; 8044
    Abstract Lower fertility can translate into a more male-biased sex ratio if son preference is persistent and technology for sex-selection is easily accessible. This paper investigates whether financial incentives can overcome this trade-off in the context of an Indian scheme, Devirupak, that seeks to decrease both fertility and the sex ratio at birth. First, I construct a model where the effects of incentives are determined by the strength of son preference, the cost of children, and the cost of sex-selection, relative to the size of incentives. Second, I create a woman-year panel dataset from retrospective birth histories and use variation in the composition of pre-existing children as well as the state and the year of program implementation to estimate its causal effect. Devirupak successfully lowers the number of children by 1 percent, but mainly through a 2 percent decrease in the number of daughters. Faced with a choice between a son and only daughters, couples choose a son despite lower monetary benefits, and thus the sex ratio at birth unintentionally increases. A subsidy worth 10 months of average household consumption expenditure is insufficient to induce parents to give up sons entirely. Instead, Devirupak increases the proportion of one-boy couples by 5 percent. The proportion of one-girl couples increases only among the lowest socioeconomic status groups.
    Keywords sex ratio ; fertility ; India ; Haryana ; financial incentives
    Language English
    Size Online-Ressource (70 S.), graph. Darst., Kt.
    Publisher IZA
    Publishing place Bonn
    Document type Book ; Online
    Database ECONomics Information System

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  10. Article ; Online: Nephrology picture: metabolic acidosis with acute tubular injury-a noteworthy case.

    Gaur, Gauri / Kumar, Lakshya / Malhotra, Kiran Preet / Subhagya, Anukriti / Pushkar, Durgesh

    Journal of nephrology

    2024  Volume 37, Issue 2, Page(s) 505–506

    MeSH term(s) Humans ; Acidosis/diagnosis ; Acidosis, Renal Tubular/diagnosis ; Acute Kidney Injury/diagnosis ; Acute Kidney Injury/therapy ; Acute Kidney Injury/etiology ; Female ; Adolescent
    Language English
    Publishing date 2024-01-08
    Publishing country Italy
    Document type Case Reports ; Journal Article
    ZDB-ID 1093991-x
    ISSN 1724-6059 ; 1120-3625 ; 1121-8428
    ISSN (online) 1724-6059
    ISSN 1120-3625 ; 1121-8428
    DOI 10.1007/s40620-023-01840-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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