The goal of the MAPP Research Network is to provide new insights into underlying etiology, natural history, and risk factors of UCPPS in order to provide a translational foundation to facilitate future clinical intervention efforts and improv clinical management of the syndromes. The UCLA MAPP-II proposal builds on the significant insights gained from MAPP-I studies into symptom patterns, UCPPS subtypes and various biomarkers, including brain signatures. In addition to be continued analysis of data sets generated in MAPP-I, it aims to identify factors associated with and predictive of symptom change, in both UCPPS subjects and in a rodent model. The UCLA proposal addresses these goals in four specific aims, all of which, if funded, are expected to be addressed collaboratively in transMAPP studies:
Aim 1. To conduct a symptom pattern study across the MAPP Research Network which will form the backbone for Aims 2 and 3.
Aim 2. To determine functional and structural brain correlates of patient subgroups, symptom fluctuations, and natural history.
Aim 3. To develop and apply enhanced functional assessments for UCPPS, including assessment of endogenous pain modulation systems.
Aim 4. To evaluate central mechanisms underlying symptom fluctuations, including stress mechanisms and related molecular brain changes in a rodent model of UCPPS. It is expected that the proposed studies will provide an unprecedented wealth of data, which will facilitate major breakthroughs in our understanding of UCPPS pathophysiology and identification of novel treatment approaches.
This project as part of the MAPP Research Network will provide new insights into causes progression, and risk factors for Urological Chronic Pelvic Pain. The proposed studies expand on the insights gained from successful initial MAPP funding cycle and will address symptom patterns, patient subtypes and various biomarkers, including brain signatures in addition to identification of factors associated with and predictive of symptom change, The studies will provide an unprecedented wealth of data, which will allow for a breakthrough in our understanding of the pathophysiology and identification of novel treatment approaches for these disorders.
|Alger, Jeffry R; Ellingson, Benjamin M; Ashe-McNalley, Cody et al. (2016) Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network. Neuroimage Clin 12:65-77|
|Nickel, J Curtis; Stephens, Alisa; Landis, J Richard et al. (2016) Assessment of the Lower Urinary Tract Microbiota during Symptom Flare in Women with Urologic Chronic Pelvic Pain Syndrome: A MAPP Network Study. J Urol 195:356-62|
|Stephens-Shields, Alisa J; Clemens, J Quentin; Jemielita, Thomas et al. (2016) Symptom Variability and Early Symptom Regression in the MAPP Study: A Prospective Study of Urological Chronic Pelvic Pain Syndrome. J Urol 196:1450-1455|
|Huang, Lejian; Kutch, Jason J; Ellingson, Benjamin M et al. (2016) Brain white matter changes associated with urological chronic pelvic pain syndrome: multisite neuroimaging from a MAPP case-control study. Pain 157:2782-2791|
|Griffith, James W; Stephens-Shields, Alisa J; Hou, Xiaoling et al. (2016) Pain and Urinary Symptoms Should Not be Combined into a Single Score: Psychometric Findings from the MAPP Research Network. J Urol 195:949-54|
|Labus, Jennifer S; Naliboff, Bruce; Kilpatrick, Lisa et al. (2016) Pain and Interoception Imaging Network (PAIN): A multimodal, multisite, brain-imaging repository for chronic somatic and visceral pain disorders. Neuroimage 124:1232-7|
|Kutch, Jason J; Tu, Frank F (2016) Altered brain connectivity in dysmenorrhea: pain modulation and the motor cortex. Pain 157:5-6|
|Naliboff, Bruce D; Stephens, Alisa J; Afari, Niloo et al. (2015) Widespread Psychosocial Difficulties in Men and Women With Urologic Chronic Pelvic Pain Syndromes: Case-control Findings From the Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network. Urology 85:1319-27|
|Sutcliffe, Siobhan; Bradley, Catherine S; Clemens, James Quentin et al. (2015) Urological chronic pelvic pain syndrome flares and their impact: qualitative analysis in the MAPP network. Int Urogynecol J 26:1047-60|
|Martucci, Katherine T; Shirer, William R; Bagarinao, Epifanio et al. (2015) The posterior medial cortex in urologic chronic pelvic pain syndrome: detachment from default mode network-a resting-state study from the MAPP Research Network. Pain 156:1755-64|
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