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A2CPS Study Details
To learn more about the Acute to Chronic Pain Signatures study, explore the About section, including:
- Study Protocol
- Biomarkers we’re measuring
- Psychophysical Assessments we’re making
- Omics from Blood
- Brain Imaging data we’re collecting
- About the Consortium.
For more detail, see our published Biomarkers paper in PAIN and our Protocol paper published in Frontiers in Medicine.
A2CPS Internal Projects
| Project Title | Lead/Senior Project Author | QST | EHR | Patient Reports |
Functional Testing |
Omics | Imaging |
| Polygenic score for chronic pain and its correlations with experimental pain, related psychosocial phenotypes, and biomarker levels. | Katerina Zorina-Lichtenwalter | ✓ | ✓ | ✓ | ✓ | ||
| Statistical models of imaging of pain | Enamul Bhuiyan | ✓ | ✓ | ||||
| Mediating effect of movement-evoked pain on the relation between pain interference and physical function | Giovanni Berardi | ✓ | ✓ | ✓ | ✓ | ||
| Differences and Similarities in Biomarkers and Other Measures between Surgical Cohorts | Briha Ansari | ✓ | ✓ | ✓ | ✓ | ||
| Multivariate psychosocial predictive model for chronic pain: Correlations with pain intensity | Michael Sun | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Brain signatures of widespread pain and sensory sensitivity | Rick Harris / Chelsea Kaplan | ✓ | ✓ | ✓ | |||
| WGCNA Correlation of molecular, imaging, and psychosocial measures in the TKA cohort at baseline | Michael Olivier | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Alignment of EHR and self-reported medication information with mass spectral data | Michael Olivier | ✓ | ✓ | ✓ | |||
| Characterizing racial/ethnic representation within A2CPS | Chad Brummett / Rachel Bergmans | ||||||
| Correlation of obesity-related proteins with Body Mass Index in A2CPS baseline samples | Panshak Dakup / Jon Jacobs | ✓ | ✓ | ||||
| Brain age, estradiol; women's health; sex differences | Patrick Sadil / Tanja Jovanovic / Lara Zador | ✓ | ✓ | ✓ | ✓ | ||
| Exploring Immune Transcriptome Signatures in the Development of Chronic Pain | Margaret Taub / Kristen Jepsen | ✓ | |||||
| Prevalence of and Association of Risk Factors with Unhealthy Substance Use Before Surgery | Mark Bicket | ✓ | |||||
| Multi-omics correlates of fatigue in baseline data from the knee osteoarthritis cohort | Giovanni Berardi | ✓ | ✓ | ✓ | ✓ | ||
| Exploring the relationship between fatigue and measures of altered central nervous system signal processing. | Adam Janowski | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Examining the effects of the Melanocortin-1 receptor (MC1R) gene on clinical pain, pain sensitivity, opioid, substance use, psychosocial status, and brain imaging | Ezgi Genc | ✓ | ✓ | ✓ | ✓ | ||
| Impact of resilience on risk factors for chronic pain at presentation for total knee arthroplasty. | Bob McCarthy | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Machine Learning Models to Classify Hypertensive Patients Through Diverse, Extensive Multimodal Biomedical Data | Seth Berke | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Normalization of Luminex Proteomics | Seth Berke | ✓ | |||||
| Pain Sensitivity- Pain and Pain Sensitivity Assessments in the Acute to Chronic Pain Signatures (A2CPS) Program | Laura Frey-Law | ✓ | ✓ | ✓ | |||
| Omics- Multi-omic data generation in the Acute to Chronic Pain Signatures (A2CPS) project | Margaret Taub | ✓ | |||||
| EHR Data- Electronic Health Records Acquisition and Processing in the Acute to Chronic Pain Signatures (A2CPS) Study | Briha Ansari / Robert McCarthy | ✓ | ✓ | ||||
| Psychosocial | Emine Bayman | ✓ | |||||
| Major Outstanding Questions in Pain Science | Stephani Sutherland | ||||||
| Pivoting during the Pandemic: Virtual Training and Certification of Multi-site Research Staff | Carol Vance | ✓ | ✓ | ✓ | ✓ | ||
| A Beta-Binomial Model for Analyzing Zero- or One-Inflated Pain Trajectories | Nora Liu | ✓ | |||||
| Image Processing in the Acute to Chronic Pain Signatures (A2CPS) Project | Patrick Sadil | ✓ | ✓ | ||||
| Replication of Fibromyalgia Score (WPI+SSI) GWAS Signals in A2CPS and Meta-analysis with MGI | Stephan Frangakis | ✓ | |||||
| Multi-order neural correlates of pain | Li-Bo Zhang | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Functional and structural brain predictors of peripheral immunity and pain sensitivity | Byeol Kim Lux | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
A2CPS Primary Biomarkers
Patient Reported Outcomes & Behavior
|
Primary Biomarkers |
Assessment |
|
1. General pain intensity |
Brief Pain Intensity -whole body pain |
|
2. Local pain intensity |
Modified BPI – surgical site pain |
|
3. Widespread body pain |
Michigan Body Map |
|
4. Acute pain trajectory following surgery
|
Single item assessments of daily pain and/or pain interference during post-surgical period. |
|
5. Disability |
Knee Injury and Osteoarthritis Outcome Score – 12 (TKA only) Danish Thoracic Surgery Questionnaire (Thoracic surgery only) |
|
6. Physical function
|
PROMIS Short Form v2.0 Physical Function 8b Five Times Sit-to-Stand, 10 Meter Walk Test (TKA only) |
|
7. Movement-evoked pain |
Five Times Sit-to-Stand, 10 Meter Walk Test (TKA only) Coughing and deep breathing (Thoracic surgery only) |
|
8. Anxiety |
General Anxiety Disorder – 7 |
|
9. Depressive symptoms |
Patient Health Questionnaire – 8 |
|
10. Pain catastrophizing |
Pain Catastrophizing Scale – 6 |
|
11. Fear of movement |
Fear Avoidance Beliefs Questionnaire – Physical Activity |
|
12. Sleep |
PROMIS Short Form v1.0 Sleep Disturbance 6a Sleep duration = time of sleep obtained over the past month |
|
13. Trauma history |
Adverse Childhood Experience questionnaire |
|
14. Resilience |
Pain Resilience Scale |
|
15. Social support |
PROMIS SFv2.0 Instrumental Support 6a PROMIS SFv2.0 Emotional Support 6a |
|
16. Cognitive dysfunction |
Multidimensional Inventory of Subjective Cognitive Impairment |
Omics
|
Primary Biomarkers |
Assessment |
|
17. C-reactive protein |
Proteomics/Luminex |
|
18. Inflammatory markers – Tumor necrosis factor-alpha |
Proteomics/Luminex |
|
19. Inflammatory markers – Interleukin-6 |
Proteomics/Luminex |
|
20. Inflammatory markers – Interleukin-12 |
Proteomics/Luminex |
|
21. Soluble glycoprotein 130 |
Proteomics/Luminex |
|
22. Catechol-O-methyltransferase haplotype (rs4680) |
Genotyping Array |
|
23. Mu-opioid receptor (rs1799971) |
Genotyping Array |
|
24. ATP binding cassette subfamily B1 (rs1045642) |
Genotyping Array |
|
25. Brain derived neurotrophic factor (rs6265) |
Genotyping Array |
|
26. Brain derived neurotrophic factor (rs1491850) |
Genotyping Array |
Quantitative Sensory Testing (QST)
|
Primary Biomarkers |
Assessment |
|
27. Pressure pain threshold (PPT) |
Pressure algometer at surgical site |
|
28. Temporal summation (TS) |
Punctate stimulus (Neuropen®) at surgical site |
|
29. Conditioned pain modulation (CPM) |
Change in shoulder PPT following noxious cold water submersion |
Brain Imaging
|
Primary Biomarkers |
Assessment |
|
30. Gray matter volume of medial prefrontal cortex |
T1 |
|
31. Structural integrity in Am-NAc-mPFC network |
Diffusion weighted imaging, white matter tractography |
|
32. Core DMN vmPFC/CCC–NAc/ventral striatum |
rsfMRI |
|
33. Core DMN: vmPFC/CCC–somatosensory (dplNS/S1) |
rsfMRI |
|
34. Core DMN: vmPFC/CCC-anterior/middle insula |
rsfMRI |
|
35. Hub disruption |
rsfMRI |
|
36. Evoked response in neurologic pain signature |
Task fMRI (pressure cuff) |
|
37. Evoked response in fronto-striatal systems related to descending / central pain modulation and self-regulation (vmPFC, NAc) |
Optimized markers (SIIPS) |