Current Scientific Research Trends on Salivary Biomarkers: A Bibliometric Analysis

Alam, Beenish Fatima; Nayab, Talha; Ali, Saqib; AlSheikh, Rasha; Khan, Asim Mustafa; Hinai, Muntasar T. Al; Farooq, Imran

doi:10.3390/diagnostics12051171

Cited by 6 publications

(5 citation statements)

References 53 publications

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“…Bibliometric analysis helps to better visualize the organization and dynamics of scientific domains, to better understand a particular scientific field, and to provide predictions regarding future trends [29]. Several parameters, such as leading countries, organizations, and journals, and the contributions of various authors, citations, and keywords, have been analyzed with the help of bibliometric mapping [7][8][9]12,30,31]. Bibliometric analysis has been used for different purposes in various scientific fields (i.e., [3,11,12,20,21,32,33]).…”

Section: Discussionmentioning

confidence: 99%

Bibliometric Analysis of Trends and Future Directions of Research and Development of Seed Orchards

Yardibi,

Kang,

Özbey

et al. 2024

Forests

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Seed orchards are important seed resources for producing improved tree crops for future plantations, forest restoration, and forestry practices (i.e., gene conservation) and for transmitting current gene diversity to future generations. Seed orchards are a major sub-division in forest science. The establishment and management of a seed orchard involves many steps, from the selection of superior trees to the harvesting of a seed crop. Studying the trends and future directions of seed orchards using different analysis methods is critically important, especially to establish resistant forests via the production of climate-smart, biotic/abiotic-stress-resistant seedling materials. Published papers related to seed orchards should be analyzed to determine the current trends in this field and to contribute to its future directions. Bibliometric analysis has been used for different purposes in various scientific fields. However, it has not been performed for publications in seed orchards. This study was carried out to analyze the current trends of research on seed orchards and to determine the future directions of these orchards based on published papers. For these purposes, 1018 published papers were obtained from the Science Citation Index, Science Citation Index Expanded, and citation index databases of “Web of Science” using the keyword “seed orchard”. The papers were published between 1980 and 2022 and were subjected to bibliometric analysis based on the most prolific contributors, references, countries, and keywords. CiteSpace software 6.1 R6 was applied to visualize information about seed orchard research. The average number of citations per publication was 13.05, and the 4 H-Index of the publication set was 48. The most prolific contributors with the strongest citation bursts, the highest centrality, and the greatest numbers of published papers were from Canada, Sweden, South Korea, Finland, and Czech Republic, while Canada (186 published articles), the USA (140), and Sweden (115), together with China, Brazil, and Germany, were active countries, especially based on citations from recent years. The “keywords” of the papers were the core of the research. “Mating pattern”, “Swedish forestry”, “fertility variation”, “Hymenoscyphus fraxineus”, “threatened Pacific sandalwood”, “outbreeding depression”, “climate change”, “management”, and “growth”, together with others such as “genetic improvement” and “effective size”, were active study areas and keywords, based on results of the analysis. They also guided the literature search and inventory and classification of early studies and served as predictors for future studies. The results of this study are discussed based on the trends and future directions of the research and development of seed orchards.

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Section: Discussionmentioning

confidence: 99%

Bibliometric Analysis of Trends and Future Directions of Research and Development of Seed Orchards

Yardibi,

Kang,

Özbey

et al. 2024

Forests

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“…Biomarkers are indicators used for objective measurement and evaluation in normal biological processes, pathogenic processes or drug responses to therapeutic interventions. 2,3 Ideal biomarkers for chronic periodontitis can diagnose disease presence, reflect disease severity, monitor disease response to treatment and predict prognostic progression of disease.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the limited potential of periodontal tissue regeneration, it is of great clinical significance to assess the disease risk for early diagnosis and clinical intervention. Biomarkers are indicators used for objective measurement and evaluation in normal biological processes, pathogenic processes or drug responses to therapeutic interventions 2,3 . Ideal biomarkers for chronic periodontitis can diagnose disease presence, reflect disease severity, monitor disease response to treatment and predict prognostic progression of disease.…”

Section: Introductionmentioning

confidence: 99%

Autoinducer‐2 produced by oral microbial flora and alveolar bone loss in periodontitis

Li,

Zhou,

Gou

et al. 2024

J of Periodontal Research

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ObjectiveThe aim of this study was to investigate the association between autoinducer‐2 (AI‐2) of oral microbial flora and the alveolar bone destruction in periodontitis to determine if AI‐2 may have the potential that monitor periodontitis and predict bone loss.BackgroundPlaque biofilm was the initiating factor of periodontitis and the essential factor of periodontal tissue destruction. The formation of biofilms depended on the complex regulation of the quorum sensing (QS) system, in which bacteria could sense changes in surrounding bacterial density by secreting the autoinducer (AI) to regulate the corresponding physiological function. Most oral bacteria also communicated with each other to form biofilms administrating the QS system, which implied that the QS system of periodontal pathogens was related to periodontitis, but the specific relationship was unknown.MethodWe collected the gingival crevicular fluid (GCF) samples and measured the concentration of AI‐2 in samples using the Vibrio harveyi BB180 bioluminescent‐reporter system. To explore the interaction between AI‐2 and bone metabolism, we utilized AI‐2 purified from Fusobacterium nucleatum to investigate the impact of F. nucleatum AI‐2 on osteoclast differentiation. Moreover, we constructed murine periodontitis models and multi‐species biofilm models to study the association between AI‐2 and periodontal disease progression.ResultsThe AI‐2 concentration in GCF samples increased along with periodontal disease progression (p < .0001). F. nucleatum AI‐2 promoted osteoclast differentiation in a dose‐dependent manner. In the periodontitis mice model, the CEJ‐ABC distance in the F. nucleatum AI‐2 treatment group was higher than that in the simple ligation group (p < .01), and the maxilla of the mice in the group exhibited significantly lower BMD and BV/TV values (p < .05).ConclusionsWe demonstrated that the AI‐2 concentration varied with the alveolar bone destruction in periodontitis, and it may have the potential for screening periodontitis. F. nucleatum AI‐2 promoted osteoclast differentiation in a dose‐dependent manner and aggravated bone loss.

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“…Our study may contribute to understanding the causes of salivary gland hypofunction that considerably impairs the quality of life of children with CKD. Moreover, given the increased interest in saliva in the field of laboratory medicine, 19,20 an additional goal of this study was to evaluate the diagnostic utility of salivary cytokines, chemokines and growth factors in young patients with CKD. Saliva is an excellent diagnostic material because it is non-infectious, readily available and collected in a non-invasive manner, which is particularly important in pediatrics.…”

Section: Introductionmentioning

confidence: 99%

Association Between Salivary Cytokines, Chemokines and Growth Factors and Salivary Gland Function in Children with Chronic Kidney Disease

Szulimowska¹,

Zalewska²,

Taranta-Janusz³

et al. 2023

JIR

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Chronic kidney disease (CKD) is a systemic inflammatory disease that leads to multiple organ complications not only in the kidneys and the cardiovascular system, but also in the oral cavity. CKD children experience reduced saliva secretion (hyposalivation), which leads to increased incidence of dental caries and significant impairment of patients' quality of life. However, the causes of salivary gland dysfunction in children with CKD are unknown. The present study is the first to evaluate the inflammatory and anti-inflammatory profile in the saliva of children with CKD at different stages of renal failure with normal and reduced salivary gland function. Methods: Thirty children with CKD (age 9-16) and thirty age-and gender-matched healthy children were classified for the study. Salivary inflammatory and anti-inflammatory profile were assayed using the multiplex ELISA assay. Results: We demonstrated statistically significant changes in salivary pro-inflammatory (↑TNF-α, ↓IL-7), anti-inflammatory (↑IL-10), Th1 (↑INF-γ, ↑IL-15), Th2 (↑IL-4, ↑IL-5, ↑IL-6, ↑IL-9) and Th17 (IL-17) cytokines as well as chemokines (↑MCP-1/CCL-2, ↑MIP-1α/CCL3, ↓MIP-1β/CCL4, ↓EOTAXIN/CCL11) and growth factors (↑G-CSF, ↑FGF) in unstimulated saliva of children with CKD compared to the controls. Although the evaluation of the salivary inflammatory profile does not indicate a particular dominance of any of the branches of the immune system, we observed a statistically significant increase in the concentration of all Th2 cytokines assayed. The multivariate regression analysis showed that the content of salivary cytokines, chemokines and growth factors depends on the secretory function of the salivary glands, ie, salivary flow, total protein concentration and amylase activity in the saliva. Salivary MIP-1α/CCL3 was the most effective to differentiate children with CKD and hyposalivation from patients with normal saliva secretion. Discussion: Inflammation is involved in salivary gland dysfunction in children with CKD, although further studies on in vitro and in vivo models are necessary to confirm this hypothesis.

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Current Scientific Research Trends on Salivary Biomarkers: A Bibliometric Analysis

Cited by 6 publications

References 53 publications

Bibliometric Analysis of Trends and Future Directions of Research and Development of Seed Orchards

Bibliometric Analysis of Trends and Future Directions of Research and Development of Seed Orchards

Autoinducer‐2 produced by oral microbial flora and alveolar bone loss in periodontitis

Association Between Salivary Cytokines, Chemokines and Growth Factors and Salivary Gland Function in Children with Chronic Kidney Disease

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