| Literature DB >> 36211484 |
Xuemei Luo1, Yali Deng2, Wenfang He3.
Abstract
Objective: We conducted this study to visualize hot spots and trends in the correlation between vitamin D and immunity over the past decade with bibliometric analysis.Entities:
Keywords: hot spots; immunological; trend; visualization analysis; vitamin D
Year: 2022 PMID: 36211484 PMCID: PMC9533358 DOI: 10.3389/fnut.2022.1000400
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
FIGURE 1Diagram of the literature screening process. All data collection was done within 1 day on May 12, 2022. Initially, 2,445 records were retrieved from the Web of Science Core Collection (WoSCC) database. The type of articles selected for our study was limited to ARTICLE and REVIEW, and the language was limited to English. The time was set from 2012 to 2021. The final 1,656 data were obtained.
FIGURE 2Publications and citations over time (2012–2021). The green line indicates the number of publications. The black curve indicates the number of cited articles.
Top 5 based on the publications number (2012–2021).
| Field | Record count | % of 1,656 | |
| Research areas | Immunology | 337 | 20.35 |
| Biochemistry Molecular Biology | 179 | 10.81 | |
| Nutrition Dietetics | 160 | 9.66 | |
| Endocrinology Metabolism | 126 | 7.61 | |
| Pharmacology Pharmacy | 110 | 6.64 | |
| Countries | United States | 439 | 26.51 |
| China | 164 | 9.90 | |
| England | 135 | 8.15 | |
| Italy | 114 | 6.88 | |
| India | 82 | 4.95 | |
| Affiliations | League of European Research Universities | 121 | 7.31 |
| University of California System | 66 | 3.99 | |
| Harvard University | 49 | 2.96 | |
| Karolinska Institutet | 45 | 2.72 | |
| University of London | 45 | 2.72 | |
| Authors | Hewison M | 19 | 1.15 |
| Bergman P | 14 | 0.85 | |
| Agerberth B | 13 | 0.76 | |
| Carlberg C | 12 | 0.73 | |
| White JH | 12 | 0.73 | |
| Funding agencies | United States Department of Health Human Services | 225 | 13.59 |
| National Institutes of Health United States | 223 | 13.47 | |
| European Commission | 108 | 6.52 | |
| NIH National Institute of Allergy Infectious Diseases | 67 | 4.05 | |
| National Natural Science Foundation of China | 63 | 3.80 |
FIGURE 3Top five countries with the strongest citation bursts (2012–2021). Burst refers to a sudden increase in the number of citations in a certain period, suggesting an increased research intensity in that country. The red bands indicate the duration of burst.
FIGURE 4Keywords co-occurrence network (2012–2021). Nodes indicate keywords, and a larger node means that there are more research articles in that direction. The lines connecting the nodes represent the research associations between the keywords. The thicker the line, the stronger the association. The top 10 co-occurrence keywords are “vitamin d” (367), “d deficiency” (217), “expression” (195), “association” (151), “d receptor” (132), “immunity” (130), “risk” (129), “dendritic cell” (112), “disease” (110), and “regulatory t cell” (109).
Keywords co-occurrence frequency (Top 35 in count order, 2012–2021).
| Keywords | Count | Centrality | First appearance year |
| Vitamin d | 367 | 0 | 2012 |
| D deficiency | 217 | 0 | 2012 |
| Expression | 195 | 0 | 2012 |
| Association | 151 | 0.01 | 2012 |
| D receptor | 132 | 0.08 | 2012 |
| Immunity | 130 | 0.01 | 2012 |
| Risk | 129 | 0 | 2012 |
| Dendritic cell | 112 | 0.03 | 2012 |
| Disease | 110 | 0.02 | 2012 |
| Regulatory t cell | 109 | 0.02 | 2012 |
| Vitamin d receptor | 108 | 0 | 2012 |
| Infection | 106 | 0.01 | 2012 |
| D supplementation | 103 | 0.09 | 2012 |
| T cell | 93 | 0.04 | 2012 |
| Cell | 91 | 0.13 | 2012 |
| Mycobacterium tuberculosis | 86 | 0.03 | 2012 |
| Inflammation | 85 | 0 | 2012 |
| Double blind | 78 | 0.02 | 2012 |
| Activation | 77 | 0 | 2012 |
| Innate immunity | 76 | 0.01 | 2012 |
| Vitamin d deficiency | 74 | 0.02 | 2012 |
| Children | 68 | 0.11 | 2012 |
| Prevalence | 67 | 0.02 | 2012 |
| Receptor | 61 | 0.01 | 2012 |
| 25 hydroxyvitamin d | 61 | 0.02 | 2012 |
| Health | 57 | 0.15 | 2012 |
| Supplementation | 55 | 0 | 2013 |
| Differentiation | 53 | 0.06 | 2012 |
| Gene expression | 52 | 0.03 | 2012 |
| Prevention | 49 | 0.1 | 2012 |
| Crohns disease | 46 | 0.17 | 2012 |
| Immune system | 46 | 0 | 2012 |
|
| 45 | 0.15 | 2012 |
| Multiple sclerosis | 45 | 0.01 | 2012 |
| 1 alpha | 45 | 0.07 | 2012 |
FIGURE 5Keyword cluster analysis (2012–2021). There are 17 clusters in all, distinguished by different colors. Cluster #0 is the largest, following by cluster #1, and so on. The topic term used more frequently in relevant articles was assigned by CiteSpace as the cluster label. The top five clusters are “diet,” “response,” “zinc,” “multiple sclerosis,” and “vitamin d”.
Cluster summary (2012–2021).
| ClusterID | Label (LLR) | Size | Mean (year) |
| 0 | Diet | 35 | 2015 |
| 1 | Response | 33 | 2014 |
| 2 | Zinc | 30 | 2014 |
| 3 | Multiple sclerosis | 29 | 2013 |
| 4 | Vitamin d | 28 | 2015 |
| 5 | C reactive protein | 27 | 2015 |
| 6 | Double blind | 27 | 2015 |
| 7 | Tuberculosis | 27 | 2014 |
| 8 | Epithelial cell | 26 | 2015 |
| 9 | Inflammatory bowel disease | 26 | 2014 |
| 10 |
| 23 | 2015 |
| 11 | Dendritic cell | 19 | 2013 |
| 12 | D receptor gene | 18 | 2016 |
| 13 | Covid-19 | 17 | 2020 |
| 14 | Vdr | 17 | 2016 |
| 15 | Epidermal barrier | 17 | 2016 |
| 16 | Expression | 13 | 2014 |
FIGURE 6Timeline view of keyword cluster. Timeline maps are used to show the evolution of research hotspots in a time-based manner. The length of the horizontal straight line of a cluster indicates its time frame.
FIGURE 7Keywords with the strongest citation burst (2012–2021). The red line shows the duration of the keyword citation burst, indicating the progress of the frontier hot topics.
Top 10 high-cited articles related to vitamin D and immunology.
| Ranking | Title | Authors | Journal | Year | Citations |
| 1 | The IOC consensus statement: beyond the Female Athlete Triad-Relative Energy Deficiency in Sport (RED- S) | Mountjoy, M; Sundgot-Borgen, J; Burke, L et al. | British Journal of Sports Medicine | 2014 | 565 |
| 2 | Vitamin D effects on musculoskeletal health, immunity, autoimmunity, cardiovascular disease, cancer, fertility, pregnancy, dementia and mortality-A review of recent evidence | Pludowski, P; Holick, MF.; Pilz, S et al. | Autoimmunity Reviews | 2013 | 511 |
| 3 | Vitamin D and Immune Function | Prietl, B; Treiber, G; Pieber, TR. et al. | Nutrients | 2013 | 474 |
| 4 | Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis | Olsson, T; Barcellos, LF.; Alfredsson, L | Nature Reviews Neurology | 2017 | 407 |
| 5 | A comprehensive summary of LL-37, the factotum human cathelicidin peptide | Vandamme, D; Landuyt, B; Luyten, W et al. | Cellular Immunology | 2012 | 361 |
| 6 | An update on vitamin D and human immunity | Hewison, M | Clinical Endocrinology | 2012 | 333 |
| 7 | So depression is an inflammatory disease, but where does the inflammation come from? | Berk, M; Williams, LJ.; Jacka, FN.; et al. | BMC Medicine | 2013 | 323 |
| 8 | Why does COVID-19 disproportionately affect older people? | Mueller, AL.; McNamara, MS.; Sinclair, DA. | Aging-Us | 2020 | 293 |
| 9 | Role of the innate and adaptive immune responses in the course of multiple sclerosis | Hemmer, B; Kerschensteiner, M; Korn, T | Lancet Neurology | 2015 | 291 |
| 10 | Clinically isolated syndromes | Miller, DH.; Chard, DT.; Ciccarelli, O | Lancet Neurology | 2012 | 284 |