Scopus For Articles Research Articles

The potential roles of RNA N6-methyladenosine in atherosclerosis.

Atherosclerosis, characterized by endothelial injury, multicellular involvement, chronic inflammation, and lipid deposition, can lead to acute cardiovascular events. N6-methyladenosine (m6A) is the most abundant, prevalent RNA modification in mammalian cells. m6A, a reversible modification, can be catalyzed by m6A methyltransferase complexes (writers), reverted by demethylases (erasers), and recognized by m6A-binding proteins (readers). Emerging evidence suggests that m6A modification plays a significant role in regulating many biological and cellular processes in atherosclerosis. In this review, we highlight the biological function of m6A modification and give a brief perspective on its future applications in atherosclerosis. This is a narrative review. The literature search strategy for indexed Scopus articles was performed randomly using PubMed and MEDLINE as the primary sources. No specific term was used. As the mechanism of the relationship between inflammatory response and atherosclerosis, m6A has become a new focus in the study of clinical treatment strategies for atherosclerosis. METTL14-dependent m6A modification may be a target for atherosclerosis therapy. A variety of m6A regulatory factors promote the progression of atherosclerosis by regulating polarization and inflammation of macrophages. WTAP and METTL14 can affect the phenotypic modulation of VSMCs through m6A modification. The existence of m6A in cardiovascular transcripts is necessary to maintain cardiac function, and the level of m6A modification is increased in a variety of atherosclerotic vascular cells, indicating that m6A modification is involved in the pathophysiological process of atherosclerosis. m6A modification plays an important character in atherosclerosis.

The path from big data analytics capabilities to value in hospitals: a scoping review

BackgroundAs the uptake of health information technologies increased, most healthcare organizations have become producers of big data. A growing number of hospitals are investing in the development of big data analytics (BDA) capabilities. If the promises associated with these capabilities are high, how hospitals create value from it remains unclear. The present study undertakes a scoping review of existing research on BDA use in hospitals to describe the path from BDA capabilities (BDAC) to value and its associated challenges.MethodsThis scoping review was conducted following Arksey and O’Malley’s 5 stages framework. A systematic search strategy was adopted to identify relevant articles in Scopus and Web of Science. Data charting and extraction were performed following an analytical framework that builds on the resource-based view of the firm to describe the path from BDA capabilities to value in hospitals.ResultsOf 1,478 articles identified, 94 were included. Most of them are experimental research (n=69) published in medical (n=66) or computer science journals (n=28). The main value targets associated with the use of BDA are improving the quality of decision-making (n=56) and driving innovation (n=52) which apply mainly to care (n=67) and administrative (n=48) activities. To reach these targets, hospitals need to adequately combine BDA capabilities and value creation mechanisms (VCM) to enable knowledge generation and drive its assimilation. Benefits are endpoints of the value creation process. They are expected in all articles but realized in a few instances only (n=19).ConclusionsThis review confirms the value creation potential of BDA solutions in hospitals. It also shows the organizational challenges that prevent hospitals from generating actual benefits from BDAC-building efforts. The configuring of strategies, technologies and organizational capabilities underlying the development of value-creating BDA solutions should become a priority area for research, with focus on the mechanisms that can drive the alignment of BDA and organizational strategies, and the development of organizational capabilities to support knowledge generation and assimilation.

Prognostic factors for the occurrence of post-operative shoulder stiffness after arthroscopic rotator cuff repair: a systematic review

BackgroundPost-operative shoulder stiffness (POSS) is one of the most frequent complications after arthroscopic rotator cuff repair (ARCR). Factors specifying clinical prediction models for the occurrence of POSS should rely on the literature and expert assessment. Our objective was to map prognostic factors for the occurrence of POSS in patients after an ARCR.MethodsLongitudinal studies of ARCR reporting prognostic factors for the occurrence of POSS with an endpoint of at least 6 months were included. We systematically searched Embase, Medline, and Scopus for articles published between January 1, 2014 and February 12, 2020 and screened cited and citing literature of eligible records and identified reviews. The risk of bias of included studies and the quality of evidence were assessed using the Quality in Prognosis Studies tool and an adapted Grading of Recommendations, Assessment, Development and Evaluations framework. A database was implemented to report the results of individual studies. The review was registered on PROSPERO (CRD42020199257).ResultsSeven cohort studies including 23 257 patients were included after screening 5013 records. POSS prevalence ranged from 0.51 to 8.75% with an endpoint ranging from 6 to 24 months. Due to scarcity of data, no meta-analysis could be performed. Overall risk of bias and quality of evidence was deemed high and low or very low, respectively. Twenty-two potential prognostic factors were identified. Increased age and male sex emerged as protective factors against POSS. Additional factors were reported but do require further analyses to determine their prognostic value.DiscussionAvailable evidence pointed to male sex and increased age as probable protective factors against POSS after ARCR. To establish a reliable pre-specified set of factors for clinical prediction models, our review results require complementation with an expert's opinion.

Bipolar Disorder, Religion, and Spirituality: A Scoping Review.

Mental health clinicians frequently study the religion and spirituality (R/S) of their patients. There is, however, a paucity of empirical research concerning R/S of patients with bipolar disorder. This lack is exacerbated by the absence of an evaluation of how these studies relate to each other. Reviews to date concern almost exclusively quantitative studies; a review that synthesizes quantitative and qualitative research is needed. The aim of this paper is to provide a synthesis of empirical studies that is useful in clinical practice. Systematic searches for relevant journal articles in SCOPUS, PubMed, and PsycInfo found 14 quantitative and four qualitative studies. The research reveals that intrinsic religiosity and positive religious coping are the dimensions of R/S that have the most positive correlations with improvement of bipolar disorder symptoms as revealed by measures of clinical outcomes. Patients struggle with their religious experiences, and they wish that R/S would be taken into account by mental health professionals. The quantitative studies are not in conflict with the patient/person-centered focus of qualitative studies. This integration of quantitative data with a patient/person-centered focus shows how belief and illness affect each other. The tensions inherent in such an integration provide new insights for research and treatment. Unfortunately, the qualitative literature has not caught up with quantitative approaches in terms of diagnostic rigor.

A Comprehensive Overview of World Mapping Analysis Research Trends on Impact of Artificial Intelligence in Tourism from 2000 to 2022: A Literature Review and Bibliometric Analysis

Artificial Intelligence (AI) has revolutionised several industries across the world. The objective of this article is to present a literature review and bibliometric analysis of the impact of AI in tourism around the world from 2000 to 2022. A textual query on Scopus (245 documents) and WoS (100 documents) using the term ((“Impact” OR “effect”) AND (“artificial intelligence” OR “AI”) AND (“tourism”)) was performed on 23 June 2022 retrieved 345 documents for in-depth analysis. Rstudio 4.2.0 and biblioshiny for bibliometrix were used to analyse research trends. According to the findings, annual scientific production in Scopus and Web of Science databases has increased from 2016 to 2021. The most popular journals in Scopus are Advances in Intelligent Systems and Computing meanwhile Sustainability journals in Web of Science. In Scopus, the most frequently used author’s keywords and keyword plus are “artificial intelligence” meanwhile in Web of Science showed “artificial intelligence” and “impact”. Li X (Scopus) and Bai B (WoS) are the most popular authors. China produced the most scientific articles in Scopus and Web of Science. In Scopus and Web of Science, between India and France, between China and United Kingdom have among of the world’s highest participation and collaboration.

The Pros and Cons of Using Elderberry (Sambucus nigra) for Prevention and Treatment of COVID-19.

The novel severe acute respiratory syndrome coronavirus 2 emerged in 2019. Health-care systems around the world are looking for alternative prevention and treatment remedies. Herbal supplements are popular among consumers as a complementary method to prevent and treat illnesses. One of them is Sambucus nigra. We searched for related articles in Scopus, Web of Science, PubMed, Google Scholar, and the Directory of Open Access Journals using the following keywords: elderberry, S. nigra, and COVID-19. Elderberry has antiviral properties due to its ability to modulate inflammatory cytokines. The current evidence suggests elderberry is appropriate for the prevention and initial treatment of viral disease. Concerns have been raised that elderberry may overstimulate the immune system, increasing the risk of a cytokine storm. There is not yet enough evidence to support this claim. For COVID-19 patients, further research is required since elderberry may provoke a cytokine storm if administered therapeutically.

Sostenibilidad y moda en la industria del cuero, una revisión sistemática

The purpose of this research is to analyze the literature around the leather tanning industry, based on a systematic review of literature in the SCOPUS database, whose objective was to conceptually analyze sustainability aspects from the content structure, environmental, social aspects and governance. The search equation yielded 785 articles in SCOPUS, which once filtered resulted in a total of 20 articles for in-depth analysis. To visualize the information, the VosViewer tool was used, which made it possible to represent the existing co-citation and co-authorship relationships through clusters. The results show what the background is, the topics of interest for academics, the countries with the longest history of research in the area and the collaborative work networks, as well as the most relevant authors and studies in this field and the impact trends. from the fashion and leather industry about sustainability.

Characterization of Sensorineural Hearing Loss in Patients With MYH9-Related Disease: A Systematic Review.

To review the characteristics and progression of hearing loss in MYH9-related disease (MYH9-RD) patients and present a unique case of bilateral non-simultaneous sudden sensorineural hearing loss (SNHL) in an MYH9-RD patient. MYH9-RD is a rare autosomal dominant platelet disorder. Patients with this disorder have a variable risk of developing SNHL. A comprehensive literature search for scientific articles in PubMed, Scopus, and Web of Science that reported hearing loss outcomes in MYH9-RD patients. Initial search yielded 270 studies. Eight studies with a total of 23 patients met inclusion criteria and were used for data analysis. MYH9-RD patients typically present with progressive bilateral SNHL affecting predominantly the high frequencies. Mean age of hearing loss onset was 17.1 years, progressing to severe-profound SNHL over a mean period of 14.4 years. Seventeen of the 23 patients received cochlear implant (CI) at a mean age of 37.9 years. In comparison, the study patient presented initially with bilateral progressive SNHL as a teenager and developed bilateral non-simultaneous sudden SNHL, first in her right ear at the age of 31 and 7 months later in her left ear at the age of 32. She is now a successful bilateral CI user. This is the first systematic investigation of the relationship between MYH9-RD patients and SNHL. Hearing loss in MYH9-RD patients is generally characterized as progressive SNHL. However, the study patient presented with the unique feature of bilateral non-simultaneous sudden SNHL, potentially expanding the hearing loss sequela associated with this disorder.

Servitization in business ecosystem: a systematic review and implications for business-to-business servitization research

ABSTRACT Servitization has been a global trend in the manufacturing industry. Facing the increasingly networked business environment, implementing servitization in business ecosystem (SIBE) has significant implications for academics and practices. Considering the fragmented SIBE research, this paper aims to reveal a holistic landscape of this domain by a systematic literature review. After collecting 84 related articles in Scopus, descriptive and thematic analyses were applied to answer the predefined review questions. The paper illustrated the overall state of SIBE research, an emerging domain with an increasingly growing trend. Five major themes were identified as the critical pillars of SIBE research: the antecedents, organisational structure, key strategies, resources and capability, and possible outcomes for SIBE. A research agenda for SIBE was provided by discussing the underlying research opportunities. This study is one of the pioneering efforts to review the interface between servitization and business ecosystem, serving as the initial foundation for SIBE. Both theoretical and managerial implications are drawn for servitization research and practice.

Искусственный интеллект для прогнозирования различных состояний в вертебрологии: систематический обзор

Introduction Artificial intelligence (AI) includes software systems combined with applied methods and algorithms which main feature is the ability to solve intellectual problems. One of the most popular trend of AI application is the prognosis of various situations, evaluation of any digital information with an attempt to give a conclusion and analysis of different data with a search for hidden patterns. Study design Systematic review. Purpose To assess current possibilities of artificial intelligence (AI) for predicting unfavorable conditions in spine surgery that require medical care, and future development prospects in this area. Materials and methods Until June 2020 we performed a search using the Protocol (PRISMA) "Preferred Reporting Parameters for Systematic Reviews and Meta-analyzes" and keywords for articles in Medline, Scopus and eLIBRARY intended to summarize the available data on algorithms for predicting any pathological conditions in spine surgery that require medical intervention using artificial intelligence technologies. Results 20 publications were selected for systematic review, which presented data on the application of artificial intelligence, machine learning and neural networks to predict any condition in spine surgery. According to the review, the data obtained indicate that AI can be successfully used to optimize prognosis in various diseases of the spine. Therefore, the application of AI in the clinical practice of the spine surgeons can improve treatment results. Conclusion The promotion of artificial intelligence application in medicine is inevitable. Currently AI shows good results in the area of making clinical decisions by the surgeons and the ability to predict treatment results depending on certain factors. It is imperative that spinal surgeons should realize the potential of these new technologies. Nevertheless, some factors that determine the clinical application of artificial intelligence, i.e. the ability to consider the context of a patient's history, are difficult to calculate mathematically and, so far, are difficult for an algorithmic approach. Eventually, the doctors will continue to play a vital role in patients’ treatment, and artificial intelligence will not depreciate their clinical skills, but make them even more important.

Clinical outcomes following long versus short cephalomedullary devices for fixation of extracapsular hip fractures: a systematic review and meta-analysis

Although both long and short cephalomedullary devices (CMDs) are used in the treatment of extracapsular hip fractures, the advantages of either option are subject to debate. This study aims to evaluate the differences in clinical outcomes with long versus short CMDs for extracapsular hip fractures. Studies included must have included subjects with at least 1 year of follow-up and reported on at least one of the following outcomes: rate of reoperation; rate of peri-implant fracture; operating time; blood loss; complication rate; length of hospital stay; 1-year mortality. Only articles written in the English language were included in this study. A search was conducted across the databases of Medline, Embase, CENTRAL (Cochrane Central Register of Controlled Trials), CINAHL and Scopus for articles published from the inception of the database to 1 November 2020. Included studies were assessed for their risk of bias using the Risk of Bias Tool (RoB2) and the risk-of-bias in non-randomized studies – of interventions (ROBINS-I) tool. A total of 8460 fractures from 16 studies were included in the analysis, with 3690 fixed with short, and 4770 fixed with long CMDs. A meta-analysis of the results revealed that short CMDs offer peri-operative advantages, while long CMDs could offer longer-term advantages. Limitations of this study include a lack of randomized control trials included in the analysis. In conclusion, when planning for the treatment of extracapsular hip fractures, a patient specific approach may be necessary to make a decision according to the individual risk profile of the patient.

Rationale behind using valproic acid for Non-Hodgkin lymphoma: a biomolecular perspective.

Non-Hodgkin lymphoma (NHL) is a hematological malignancy with a high rate of relapse and refractory cases. It is believed to be caused by resistance to standard treatment modalities. Valproic acid (VPA), previously used as a broad-spectrum anticonvulsant drug, has been proposed for NHL owing to its action of epigenetic modification by inhibiting histone deacetylase. However, VPA studies on NHL are limited. This review describes the rationale behind the use of VPA for NHL treatment, particularly focusing on its molecular mechanism of action. This is a narrative review. The literature search strategy for indexed Scopus articles was performed randomly using PubMed and MEDLINE as the primary sources. No specific term was used. Several mechanisms are responsible for NHL development. VPA can modulate these mechanisms via epigenetic and nonepigenetic modifications. It may also have an impact on the proteins responsible for treatment resistance. The mechanisms of action of VPA in NHL are as follows: the induction of cell cycle arrest via the upregulation of cyclin-dependent protein kinase inhibitors; induction of Apo2 ligand or tumor necrosis factor-related apoptosis-inducing ligand-induced apoptosis; inactivation of B-cell lymphoma 6; inhibition of Janus kinase/signal transducer and activator of transcription, phosphoinositide 3-kinase/Akt, and nuclear factor kappa B signaling pathways; upregulation of tumor antigen as the primary target of immunotherapy; and strengthening of tumor immunosurveillance. Based on its biomolecular mechanism of action, VPA appears to be a promising initial treatment before initiating the standard treatment in patients with NHL to overcome resistance.

Protease Produced by Endophytic Fungi: A Systematic Review.

The purpose of this systematic review was to identify the available literature of production, purification, and characterization of proteases by endophytic fungi. There are few complete studies that entirely exhibit the production, characterization, and purification of proteases from endophytic fungi. This study followed the PRISMA, and the search was conducted on five databases: PubMed, PMC, Science Direct, Scopus Articles, and Web of Science up until 18 May 2021, with no time or language restrictions. The methodology of the selected studies was evaluated using GRADE. Protease production, optimization, purification, and characterization were the main evaluated outcomes. Of the 5540 initially gathered studies, 15 met the inclusion criteria after a two-step selection process. Only two studies optimized the protease production using statistical design and two reported enzyme purification and characterization. The genus Penicillium and Aspergillus were the most cited among the eleven different genera of endophytic fungi evaluated in the selected articles. Six studies proved the ability of some endophytic fungi to produce fibrinolytic proteases, demonstrating that endophytic fungi can be exploited for the further production of agents used in thrombolytic therapy. However, further characterization and physicochemical studies are required to evaluate the real potential of endophytic fungi as sources of industrial enzymes.

Innovation projects management: a systematic literature review

Purpose: To highlight how the theme innovation unfolds within the scope of project management and how both have been addressed in scientific literature in the last two decades Methodology: This research is a Systematic Literature Review, where procedures were applied in the selection of articles in Scopus and Web of Science databases, for the identification and interpretation of the main publications on the topic in the scientific literature, seeking to understand its relevance and evolution the last twenty years. Findings: The obtained sample, based on the Web of Science (WoS) and Scopus databases, totaled 13 articles from different sectors and areas of knowledge, with a predominance of publications linked mainly to the research and development area, with greater progress in innovation projects. Practical Implications: This research contributes to improving the understanding of the benefits of the practice of managing innovation projects. Social implications: The findings of this research will contribute to the understanding of how the management of innovation projects can contribute to maximize success in the dealings practiced in these projects. And due to the particular characteristics of innovation, focus on management efficiency and focus on results. Originality: This research addresses current and very broad themes - project management and innovation - involving several disciplines (human and social capital, teams, strategy, conflict management, knowledge management, governance, innovation, integration, research and development, intellectual property, behavioral theory), in an unprecedented way and seeks to define the new paradigm of development called Innovation Project Management.

Character Education in Physical Education Learning Model: A Bibliometric Study on 2011-2020 Scopus Database

Literature shows that character and physical educations, to enhance students' fitness and growth through physical activity, have a vital role in the learning process. A character-based physical education learning model is required to integrate the two educational ideas. A study on the development of research on this topic is required for the model's application and development. Therefore, this study aims to find and analyze articles in Scopus indexed journals of the last decade (2011-2020) related to character-based physical education learning models. In this study, a bibliometric analysis was employed to explore the roadmap for character-based physical education learning. This bibliometric study has four steps: (1) finding related articles, (2) filtering, (3) validating and completing the article information, and (4) carrying out a bibliometric analysis. This study discovered eight findings, including: (1) publication trend of the physical education learning model in 2011-2020; (2) citation number of the article; (3) author collaboration; (4) the most used keywords by the authors; (5) abstract analysis; (6) institutional collaboration; (7) country analysis; and (8) analysis of character values promoted in the bibliography. Based on these eight findings, this study concludes that academics and researchers pay insufficient attention to character-based physical education learning models. This also suggests that in the context of physical education learning, their attention is more concentrated on the cognitive and psychomotor domains. On the other hand, academics have not paid much attention to character as an effective area. This finding needs to be highlighted because, in education, besides knowledge, an educator has a duty to transfer values. Therefore, more publications on the integration of character education into physical education are required. This study can assist in mapping future research directions that will encourage further research on physical education.

Effects of the COVID-19 pandemic on the construction sector: a systemized review

PurposeThe COVID-19 pandemic has brought profound changes to all sectors of society including the construction sector. The main purpose of this study is to explore and provide insights into the impact and changes that have occurred in the construction sector due to COVID-19 and to present a mitigation framework to minimize the effects.Design/methodology/approachThe scope of this study is limited to peer-reviewed articles in Scopus or Web of Science indexed journals. A systemized review was performed with bibliometric and content analyses of articles related to the impact of COVID-19 on the construction sector.FindingsThrough content analysis, the main topics discussed in the selected articles were grouped into 10 categories. Most of these studies were found to have focused on the challenges, impact, and health and safety at construction sites resulting from the pandemic. The study further identified 39 subtopics through detailed content analysis and organizes them into the categories of negative impacts, positive impacts and opportunities and barriers to COVID-19 safety guidelines in the construction sector. Moreover, the study developed a systematic mitigation strategy based on the recommendations of the literature review to reduce the impact of the current pandemic on the construction sector. The mitigation strategy presents separate set of measures regarding safety guidelines, process improvements, government intervention, psychological support and technology adoption.Originality/valueThe research insights provided in this study are useful for practitioners in guiding them to design effective strategies for addressing the challenges of the COVID-19 pandemic and future crises. Furthermore, a systematic presentation of the impacts, challenges and mitigation measures in this study will help researchers to identify existing gaps in the literature and explore other aspects of the impact of the pandemic on the construction sector.

Researcher Performance in Scopus Articles (RPSA) as a New Scientometric Model of Scientific Output: Tested in Business Area of V4 Countries

The purpose of this study is to present a new scientometric model for measuring individual scientific performance in Scopus article publications in the field of Business, Management, and Accounting (BMA). With the help of this model, the study also compares the publication performance of the top 50 researchers according to SciVal in the field of BMA, in each of the Central European V4 countries (Czech Republic; Hungary; Poland; Slovakia). To analyze the scientific excellence of a total of top 200 researchers in the countries studied, we collected and analyzed the data of a total of 1844 partially redundant and a total of 1492 cleansed BMA publications. In the scope of the study, we determined the quality of the journals using SCImago, the individual contributions to the journal articles, and the number of citations using Scopus data. A comparison of individual performance, as shown by published journal articles, can be made based on the qualities of the journals, the determination of the aggregated co-authorship ratios, and the number of citations received. The performance of BMA researchers in Hungary lags behind the average of V4s in terms of quantity, but in terms of quality it reaches this average. As for BMA journal articles, the average number of co-authors is between two and three; concerning Q4 to Q2 publications, this number typically increases. In fact, in the case of these Q journals multiple co-authorship results in higher citations, but it is not the case concerning Q1 journals.

Candidate Genes of Regulation of Skeletal Muscle Energy Metabolism in Athletes.

All biological processes associated with high sports performance, including energy metabolism, are influenced by genetics. DNA sequence variations in such genes, single nucleotide variants (SNVs), could confer genetic advantages that can be exploited to achieve optimal athletic performance. Ignorance of these features can create genetic “barriers” that prevent professional athletes from pursuing a career in sports. Predictive Genomic DNA Profiling reveals single nucleotide variations (SNV) that may be associated with better suitability for endurance, strength and speed sports. (1) Background: To conduct a research on candidate genes associated with regulation of skeletal muscle energy metabolism among athletes. (2) Methods: We have searched for articles in SCOPUS, Web of Science, Google Scholar, Clinical keys, PubMed, e-LIBRARY databases for the period of 2010–2020 using keywords and keywords combinations; (4) Conclusions: Identification of genetic markers associated with the regulation of energy metabolism in skeletal muscles can help sports physicians and coaches develop personalized strategies for selecting children, teenagers and young adults for endurance, strength and speed sports (such as jogging, middle or long distance runs). However, the multifactorial aspect of sport performances, including impact of genetics, epigenetics, environment (training and etc.), is important for personalized strategies for selecting of athletes. This approach could improve sports performance and reduce the risk of sports injuries to the musculoskeletal system.

The Effects of Sesame Consumption on Glycemic Control in Adults: A Systematic Review and Meta-Analysis of Randomized Clinical Trial.

Objectives In recent years, diabetes has become a global health problem that creates a tremendous economic burden for many countries. Clinical trials evaluating the hypoglycemic effects of sesame consumption have produced conflicting results. This systematic review and meta-analysis was conducted to evaluate the effectiveness of sesame as a popular natural herb on glycemic indices in adults. Methods The search for related articles in PubMed, Scopus, Google Scholar, and Cochrane library was conducted through May 2021. Results were reported as weighted mean differences (WMD) with 95% confidence intervals (CI) using a random-effects model. Results A total of 605 studies were identified through online searching, and a total of eight RCTs representing 382 participants were included in this study. The meta-analyses revealed that sesame consumption significantly decreases serum fasting blood sugar (FBS): (WMD: −28.23 mg/dl; 95% CI (−39.16, −17.13), I2 = 97.6%; 95% CI (96, 98)), and hemoglobin A1c (HbA1c): (WMD: −1.00%; 95% CI (−1.11, −0.88), I2 = 0%; 95% CI (0, 79)) as compared to the control group. Conclusion This study provides evidence of the hypoglycemic effects of sesame consumption, particularly in diabetic patients. Additional RCTs on sesame and its preparations should be conducted in different populations to increase generalizability.

Identification of microRNA-21 as a valuable diagnostic marker of oral squamous cell carcinoma and potential target*

Abstract Objective The aim of the study was to summarize the diagnostic value of miR-21 as a biomarker in oral squamous cell carcinoma (OSCC) using a review of the literature and data from the cancer genome atlas (TCGA) database. Methods Data from TCGA database was sorted and analyzed by bioinformatics to determine the expression level of miR-21 in OSCC. Further, we searched for relevant articles in Embase, PubMed/Medline, Scopus, and Web of Science published before March 2021, extracted the data, and conducted quality assessment. The bivariate meta-analysis model with Stata 16.0 was used to analyze the diagnostic value of miR-21 for OSCC. Results A total of 304 related articles were identified, and seven were selected for meta-analysis. The diagnostic results after analysis were as follows: sensitivity 0.76 [95% confidence interval (CI), 0.57-0.88]; specificity 0.77 (95% CI, 0.58-0.89); positive likelihood ratio 3.34 (95% CI, 1.58-7.08); negative likelihood ratio 0.31 (95% CI, 0.15-0.63); diagnostic odds ratio 10.75 (95% CI, 2.85-40.51); and area under the curve 0.83 (95% CI, 0.80-0.86). The Deeks’ funnel chart showed that there was no potential bias (P = 0.54). Prediction analysis of the potential target genes of miR-21 was performed via the biological website, and DAVID was used to cross target genes for gene ontology (GO) annotation function analysis. Conclusion The results showed that miR-21-3p and miR-21-5p were significantly more highly expressed in OSCC tissues than in normal tissues (P < 0.05), and the results of the meta-analysis indicated that they could be used as potential biomarkers in the diagnosis of OSCC. In addition, 58 potential target genes of miR-21 were significantly enriched in 28 GO annotation functional pathways, which provided a biological basis for further clinical diagnostic value research.