| Title |
Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy
|
|---|---|
| Published in |
BMC Veterinary Research, April 2018
|
| DOI | 10.1186/s12917-018-1424-1 |
| Pubmed ID | |
| Authors |
Amy E. DeClue, Sandra M. Axiak-Bechtel, Yan Zhang, Saurabh Saha, Linping Zhang, David D. Tung, Jeffrey N. Bryan |
| Abstract |
Clostridium novyi-NT (CNV-NT), has shown promise as a bacterolytic therapy for solid tumors in mouse models and in dogs with naturally developing neoplasia. Factors that impact the immunologic response to therapy are largely unknown. The goal of this pilot study was to determine if plasma immune biomarkers, immune cell function, peripheral blood cytological composition and tumor characteristics including evaluation of a PET imaging surrogate of tumor tissue hypoxia could predict which dogs with naturally developing naïve neoplasia would develop an inflammatory response to CNV-NT. Dogs that developed an inflammatory response to CNV-NT had a higher heart rate, larger gross tumor volume, greater tumor [64Cu]ATSM SUVMax, increased constitutive leukocyte IL-10 production, more robust NK cell-like function and greater peripheral blood lymphocyte counts compared to dogs that did not develop an inflammatory response to CNV-NT. Of these, unstimulated leukocyte IL-10 production, heart rate, and gross tumor volume appeared to be the best predictors of which dogs will develop an inflammatory response to CNV-NT. Development of inflammation in response to CNV-NT is best predicted by pretreatment unstimulated leukocyte IL-10 production, heart rate, and gross tumor volume. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 25% |
| Other | 2 | 17% |
| Professor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 25% |
| Veterinary Science and Veterinary Medicine | 2 | 17% |
| Agricultural and Biological Sciences | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Psychology | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
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 03 April 2018.
All research outputs
#15,498,204
of 23,031,582 outputs
Outputs from BMC Veterinary Research
#1,432
of 3,068 outputs
Outputs of similar age
#209,866
of 328,955 outputs
Outputs of similar age from BMC Veterinary Research
#48
of 100 outputs
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