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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inflamma-miRs in Aging and Breast Cancer: Are They Reliable Players?
|
|---|---|
| Published in |
Frontiers in Medicine, December 2015
|
| DOI | 10.3389/fmed.2015.00085 |
| Pubmed ID | |
| Authors |
Cristina Sorina Cătană, George A. Calin, Ioana Berindan-Neagoe |
| Abstract |
Human aging is characterized by chronic low-grade inflammation known as "inflammaging." Persistent low-level inflammation also plays a key role in all stages of breast cancer since "inflammaging" is the potential link between cancer and aging through NF-kB pathways highly influenced by specific miRs. Micro-RNAs (miRNAs) are small non-coding RNAs that negatively regulate gene expression at a posttranscriptional level. Inflamma-miRs have been implicated in the regulation of immune and inflammatory responses. Their abnormal expression contributes to the chronic pro-inflammatory status documented in normal aging and major age-related diseases (ARDs), inflammaging being a significant mortality risk factor in both cases. Nevertheless, the correct diagnosis of inflammaging is difficult to make and its hidden contribution to negative health outcomes remains unknown. This methodological work flow was aimed at defining crucial unanswered questions about inflammaging that can be used to clarify aging-related miRNAs in serum and cell lines as well as their targets, thus confirming their role in aging and breast cancer tumorigenesis. Moreover, we aim to highlight the links between the pro-inflammatory mechanism underlying the cancer and aging processes and the precise function of certain miRNAs in cellular senescence (CS). In addition, miRNAs and cancer genes represent the basis for new therapeutic findings indicating that both cancer and ARDs genes are possible candidates involved in CS and vice versa. Our goal is to obtain a focused review that could facilitate future approaches in the investigation of the mechanisms by which miRNAs control the aging process by acting as efficient ARDs inflammatory biomarkers. An understanding of the sources and modulation of inflamma-miRs along with the identification of their specific target genes could enhance their therapeutic potential. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 36 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Bachelor | 7 | 19% |
| Student > Master | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Professor > Associate Professor | 3 | 8% |
| Other | 8 | 22% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 27% |
| Agricultural and Biological Sciences | 8 | 22% |
| Medicine and Dentistry | 7 | 19% |
| Chemistry | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 5 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2015.
All research outputs
#17,779,578
of 22,836,570 outputs
Outputs from Frontiers in Medicine
#3,571
of 5,656 outputs
Outputs of similar age
#265,179
of 390,233 outputs
Outputs of similar age from Frontiers in Medicine
#8
of 10 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 390,233 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.