Background:The present investigation tested the efficacy of the Tennant Biomodulator,a novel pain management intervention that uses biofeedback-modulated electrical stimulation,to reduce chronic pain and its psychosoc...Background:The present investigation tested the efficacy of the Tennant Biomodulator,a novel pain management intervention that uses biofeedback-modulated electrical stimulation,to reduce chronic pain and its psychosocial sequelae in a sample of current and former military service members.The Tennant Biomodulator used on its most basic setting was compared to two commonly used,non-pharmacological pain treatments—traditional Chinese acupuncture and transcutaneous electrical nerve stimulation(TENS)—in a comparative efficacy,randomized,open-label trial.Methods:Participants included 100 active duty and retired service men and women with chronic pain undergoing treatment at the Brooke Army Medical Center in Texas,USA,randomly assigned to receive six,weekly sessions of either Tennant Biomodulator treatment,traditional Chinese acupuncture,or TENS,in addition to usual care.Recruitment was conducted between May 2010 to September 2013.Outcome measures were collected at intake,before and after each treatment session,and at a 1-month follow-up.Intent-to-treat analyses were used throughout,with mixed models used to investigate main effects of group,time,and group×time interactions with consideration given to quadratic effects.Outcomes measured included ratings of chronic pain,pain-related functional disability,and symptoms of post-traumatic stress disorder(PTSD)and depression.Results:On average,regardless of their treatment group,participants exhibited a 16%reduction in pain measured by the Brooke Army Medical Center’s Clinic Pain Log[F(1,335)=55.7,P<0.0001]and an 11%reduction in pain-related disability measured by the Million Visual Analog Scale[MVAS:F(1,84)=28.3,P<0.0001]from baseline to the end of treatment,but no one treatment performed better than the other,and the reductions in pain and pain-related disability were largely lost by 1-month follow-up.Symptoms of PTSD and depression did not change significantly as a function of time or group.Conclusions:Findings build on previous work suggesting that traditional Chin展开更多
The complex regulatory network between microRNAs and gene expression remains an unclear domain of active research.We proposed to address in part this complex regulation with a novel approach for the genome-wide identi...The complex regulatory network between microRNAs and gene expression remains an unclear domain of active research.We proposed to address in part this complex regulation with a novel approach for the genome-wide identification of biomodules derived from paired microRNA and mRNA profiles,which could reveal correlations associated with a complex network of dys-regulation in human cancer.Two published expression datasets for 68 samples with 11 distinct types of epithelial cancers and 21 samples of normal tissues were used,containing microRNA expression and gene expression profiles,respectively.As results,the microRNA expression used jointly with mRNA expression can provide better classifiers of epithelial cancers against normal epithelial tissue than either dataset alone(P=1×10-10,F-test).We identified a combination of 6 microRNA-mRNA biomodules that optimally classified epithelial cancers from normal epithelial tissue(total accuracy = 93.3%;95% confidence intervals:86%-97%),using penalized logistic regression(PLR) algorithm and three-fold cross-validation.Three of these biomodules are individually sufficient to cluster epithelial cancers from normal tissue using mutual information distance.The biomodules contain 10 distinct microRNAs and 98 distinct genes,including well known tumor markers such as miR-15a,miR-30e,IRAK1,TGFBR2,DUSP16,CDC25B and PDCD2.In addition,there is a significant enrichment(Fisher's exact test P=3×10-10) between putative microRNA-target gene pairs reported in 5 microRNA target databases and the inversely correlated microRNA-mRNA pairs in the biomodules.Further,microRNAs and genes in the biomodules were found in abstracts mentioning epithelial cancers(Fisher's Exact test,unadjusted P<0.05).Taken together,these results strongly suggest that the discovered microRNA-mRNA biomodules correspond to regulatory mechanisms common to human epithelial cancer samples.In conclusion,we developed and evaluated a novel comprehensive method to systematically identify,on a genome scale,microRNA-mRNA expression b展开更多
基金funding source was grant#W81XWH-06-2-0279 from the United States Army Medical Research Acquisition Activity through the Telemedicine and Advanced Technology Research Centerwhich was provided to the Samueli Institutefunding was provided as a gift to the Samueli Institute by an anonymous donor with no conflicts of interest to declare。
文摘Background:The present investigation tested the efficacy of the Tennant Biomodulator,a novel pain management intervention that uses biofeedback-modulated electrical stimulation,to reduce chronic pain and its psychosocial sequelae in a sample of current and former military service members.The Tennant Biomodulator used on its most basic setting was compared to two commonly used,non-pharmacological pain treatments—traditional Chinese acupuncture and transcutaneous electrical nerve stimulation(TENS)—in a comparative efficacy,randomized,open-label trial.Methods:Participants included 100 active duty and retired service men and women with chronic pain undergoing treatment at the Brooke Army Medical Center in Texas,USA,randomly assigned to receive six,weekly sessions of either Tennant Biomodulator treatment,traditional Chinese acupuncture,or TENS,in addition to usual care.Recruitment was conducted between May 2010 to September 2013.Outcome measures were collected at intake,before and after each treatment session,and at a 1-month follow-up.Intent-to-treat analyses were used throughout,with mixed models used to investigate main effects of group,time,and group×time interactions with consideration given to quadratic effects.Outcomes measured included ratings of chronic pain,pain-related functional disability,and symptoms of post-traumatic stress disorder(PTSD)and depression.Results:On average,regardless of their treatment group,participants exhibited a 16%reduction in pain measured by the Brooke Army Medical Center’s Clinic Pain Log[F(1,335)=55.7,P<0.0001]and an 11%reduction in pain-related disability measured by the Million Visual Analog Scale[MVAS:F(1,84)=28.3,P<0.0001]from baseline to the end of treatment,but no one treatment performed better than the other,and the reductions in pain and pain-related disability were largely lost by 1-month follow-up.Symptoms of PTSD and depression did not change significantly as a function of time or group.Conclusions:Findings build on previous work suggesting that traditional Chin
基金supported by the National Natural Science Foundation of China (60971099,60671018 and 60771024)Center for Multilevel Analyses of Genomic and Cellular Networks (1U54CA121852-01A1)the Cancer Research Foundation
文摘The complex regulatory network between microRNAs and gene expression remains an unclear domain of active research.We proposed to address in part this complex regulation with a novel approach for the genome-wide identification of biomodules derived from paired microRNA and mRNA profiles,which could reveal correlations associated with a complex network of dys-regulation in human cancer.Two published expression datasets for 68 samples with 11 distinct types of epithelial cancers and 21 samples of normal tissues were used,containing microRNA expression and gene expression profiles,respectively.As results,the microRNA expression used jointly with mRNA expression can provide better classifiers of epithelial cancers against normal epithelial tissue than either dataset alone(P=1×10-10,F-test).We identified a combination of 6 microRNA-mRNA biomodules that optimally classified epithelial cancers from normal epithelial tissue(total accuracy = 93.3%;95% confidence intervals:86%-97%),using penalized logistic regression(PLR) algorithm and three-fold cross-validation.Three of these biomodules are individually sufficient to cluster epithelial cancers from normal tissue using mutual information distance.The biomodules contain 10 distinct microRNAs and 98 distinct genes,including well known tumor markers such as miR-15a,miR-30e,IRAK1,TGFBR2,DUSP16,CDC25B and PDCD2.In addition,there is a significant enrichment(Fisher's exact test P=3×10-10) between putative microRNA-target gene pairs reported in 5 microRNA target databases and the inversely correlated microRNA-mRNA pairs in the biomodules.Further,microRNAs and genes in the biomodules were found in abstracts mentioning epithelial cancers(Fisher's Exact test,unadjusted P<0.05).Taken together,these results strongly suggest that the discovered microRNA-mRNA biomodules correspond to regulatory mechanisms common to human epithelial cancer samples.In conclusion,we developed and evaluated a novel comprehensive method to systematically identify,on a genome scale,microRNA-mRNA expression b
