This study is a part of a larger project aiming to evaluate the neurobiological mechanisms underlying the relationship between sleep and pain in people with non-specific chronic low back pain. Specifically, this study aims to evaluate the neurobiological mechanisms underlying the relationship between chronic sleep disturbances and pain sensitivity in people with non-specific chronic low back pain and chronic insomnia.
Sleep disturbances, and especially insomnia, reflect one of the most common comorbidities in people with chronic pain, including people with chronic low back pain. Previous research has furthermore demonstrated that a lack of sleep is associated with an increased pain sensitivity. The goal of this study is to evaluate the role of brain neuroinflammation in the relationship between chronic sleep disturbances and both clinical and experimental pain sensitivity in people non-specific chronic low back pain and/or chronic insomnia. A cross-sectional study will be conducted across four age- and sex-matched study groups: healthy controls with good sleep habits (Group 1); people with non-specific chronic low back pain and good sleep habits (Group 2); pain-free individuals with chronic insomnia (Group 3); and people with non-specific chronic low back pain and comorbid chronic insomnia (Group 4). The study will be performed over nine consecutive days. All participants will arrive at the lab at a standardized time, relative to their habitual bedtime, in the afternoon of the first study day. There, they will first fill out a number of baseline questionnaires, after which a battery of quantitative sensory test, utilizing both manual and computerized pressure algometry, will be performed to assess experimental pain sensitivity. After being provided a standardized dinner, the participants will then perform a clinical polysomnography (i.e., sleep study) during an over-night stay at the hospital sleep center (UZ Leuven, Belgium) to acquire data on sleep time, stability, and efficiency, as well as to identify participants with combined sleep-disorder-comorbidity profiles (e.g. insomnia + apnea). Directly upon awakening in the morning of the second day, all participants will first fill in a few additional questionnaires, and then be provided a standardized low-fiber breakfast alongside a bolus of pure fiber. Next, the participants will be escorted to the magnetic resonance imaging facility and perform two blocks of brain scanning separated by an approximate 10-min break. During the first block, magnetic resonance spectroscopy and diffusion-weighted magnetic resonance imaging will be performed to measure markers of neuroinflammation, whereas the second block utilizes functional magnetic resonance imaging during an evoked-low-back-pain task to acquire data on back pain-evoked brain activity. After the two scanning blocks, the second study day ends by the collection of a venous blood sample to assess systemic levels of inflammation (via highly sensitive C-reactive protein) and short chain fatty acids. During the following seven days, all participants will complete a sleep diary once per day, provide momentary ratings of pain, sleepiness, fatigue, and affect eight times per day, and wear an Actigraph at all times (except during heavy water contact). During this seven-day period, the participants will also be instructed to collect a stool sample at a time of their own convenience, but preferably within the first three days, to be used for gut microbiota composition analyses. Continuous dietary intake will therefore also be recorded during the first three days of the seven-day period, while participants who are not able to collect their stool sample during any of these three days will continue to record their dietary intake until a stool sample has been collected.
Study Type
OBSERVATIONAL
Enrollment
80
See detailed study description and outcome measures.
UZ/KU Leuven
Leuven, Belgium
RECRUITINGBrain metabolite concentrations
Concentration of brain metabolites measured using single-voxel magnetic resonance spectroscopy in five regions of interest: (1) pregenual anterior cingulate cortex (midline); (2/3) right/left thalamus; (4/5) right/left anterior insula.
Time frame: Day 2
Brain-tissue microstructure diffusivity
Diffusivity data (diffusion-weighted signal) from different microstructural compartments within the brain (intra-axonal space, extra-axonal space, and free water) measured using diffusion-weighted magnetic resonance imaging.
Time frame: Day 2
Functional brain responses to evoked low back pain
Blood-oxygen-level-dependent (BOLD) signal acquired during an evoked low back pain task performed during functional magnetic resonance imaging sequence.
Time frame: Day 2
Manual pressure pain detection thresholds (mPDT)
Gradually increasing pressure (1 kgf/sec) applied using a manual pressure algometer (FPX50, Wagner Instruments, USA) until the first sensation of discomfort (mPDT) is (self-)reported. The measurement is repeated three times across six body sites: (1/2) right/left m. erector spinae; (3/4) right/left m. extensor carpi radialis; (5/6) right/left m. gastrocnemius.
Time frame: Day 1
Computerized pressure pain detection thresholds (cPDT)
Gradually increasing pressure (1 kPa/sec) applied via a computer-controlled blood pressure cuff (Nocitech, Aalborg University, Denmark) around the calf (dominant leg) until a first sensation of discomfort (cPDT) is rated.
Time frame: Day 1
Computerized pressure pain tolerance thresholds (cPTT)
Gradually increasing pressure (1 kPa/sec) applied via a computer-controlled blood pressure cuff (Nocitech, Aalborg University, Denmark) around the calf (dominant leg) until it is no longer tolerable.
Time frame: Day 1
Temporal summation of (pressure) pain
Twelve repeated pressure stimuli (stimulus duration: 1 sec; interstimulus interval: 1 sec) applied via a computer-controlled blood pressure cuff (Nocitech, Aalborg University, Denmark) around the calf (dominant leg) at an intensity corresponding to the cPTT.
Time frame: Day 1
Conditioned (pressure) pain modulation
One cPTT assessment via computer-controlled blood pressure cuff algometry (Nocitech, Aalborg University, Denmark) performed immediately before and after a 1-min hot water immersion of the hand contralateral to the stimulated calf (dominant leg).
Time frame: Day 1
Daily self-reported pain distribution assessed via experience sampling methodology (m-Path smartphone application)
A list of body regions from which participants select the regions at which they experience pain "right now", assessed at eight block-randomized time points per day.
Time frame: Day 3 to 9
Daily self-reported low back pain (fluctuations) assessed via experience sampling methodology (m-Path smartphone application)
Intensity, unpleasantness, and attention to low back pain "right now" rated on a 0-to-100 visual analogue scale at eight block-randomized time points per day.
Time frame: Day 3 to 9
Daily self-reported affect (fluctuations) assessed via experience sampling methodology (m-Path smartphone application)
Positive and negative affect "right now" rated on a 0-to-100 visual analogue scale at eight block-randomized time points per day.
Time frame: Day 3 to 9
Daily self-reported fatigue (fluctuations) assessed via experience sampling methodology (m-Path smartphone application)
Mental and physical fatigue "right now" rated on a 0-to-100 visual analogue scale at eight block-randomized time points per day.
Time frame: Day 3 to 9
Daily self-reported sleepiness (fluctuations) assessed via the Karolinska Sleepiness Scale (KSS) implemented into the experience sampling methodology smartphone application (m-Path)
The KSS is a single-item questionnaire (i.e., scale) that measures subjective sleepiness at a specific moment in time. Scores range from 1 to 9, with higher scores indicating greater sleepiness. The scale was completed at eight block-randomized time points per day.
Time frame: Day 3 to 9
Daily sleep-wake cycles assessed by Actigraphy
Wrist-worn actigraphy (GT3X Actigraph, Pensacola, FL, USA) at all times except heavy water contact.
Time frame: Day 3 to 9
Daily self-reported perceived sleep duration assessed via sleep diaries
Subjective time points for when getting into and out of bed, and for sleep onset and offset, provided once per day.
Time frame: Day 3 to 9
Daily self-reported nighttime pain assessed via sleep diaries
Pain intensity during the preceding night, rated on a 0-to-10 numerical rating scale once per day.
Time frame: Day 3 to 9
Daily self-reported subjective sleep quality assessed via sleep diaries
Subjective sleep quality from the preceding night, rated on a 0-to-10 numerical rating scale once per day.
Time frame: Day 3 to 9
Daily self-reported subjective wake quality assessed via sleep diaries
Subjective wake quality during the day, rated on a 0-to-10 numerical rating scale once per day.
Time frame: Day 3 to 9
Serum short chain fatty acid levels
Levels of short chain fatty acids analysed from serum aliquots derived from venous blood samples.
Time frame: Day 2
Microbiota composition
Composition-related outcomes (e.g., diversity, abundance) analysed from stool-sample aliquots.
Time frame: At one single occasion at any day between Day 3 to 9
Habitual self-reported macronutrient intake (including fibre) assessed via continuous dietary records (MyFitnessPal smartphone application)
Macronutrient and fibre intake (in grams) estimated (via MyFitnessPal application) from continuous self-reported dietary intake (food diary).
Time frame: From Day 3 to at least Day 5, but up to Day 9 depending on the day at which a stool sample is collected
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