Lumbar disk herniation (LDH) is the preeminent disease of lever positioning manipulation (LPM), a complex disorder involving alterations in brain function. Resting-state functional magnetic resonance imaging (rs-fMRI) has the advantages of non-trauma, zero radiation, and high spatial resolution, which has become an effective means to study brain science in contemporary physical therapy. Furthermore, it can better elucidate the response characteristics of the brain region of LPM intervention in LDH. We utilized two data analysis methods, the amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) of rs-fMRI, to assess the effects of LPM on real-time brain activity in patients with LDH. Patients with LDH (Group 1, n = 21) and age-, gender- and education-matched healthy controls without LDH (Group 2, n = 21) were prospectively enrolled. Brain fMRI was performed for Group 1 at two-time points (TPs): before LPM (TP1) and after one LPM session (TP2). The healthy controls (Group 2) did not receive LPM and underwent only one fMRI scan. Participants in Group 1 completed clinical questionnaires assessing pain and functional disorders using a Visual Analog Scale and the Japanese Orthopaedic Association (JOA), respectively. Furthermore, we employed MNL90 (Montreal Neurological Institute) as a brain-specific template. Compared to the healthy controls (Group 2), the patients with LDH (Group 1) had significant variation in ALFF and ReHo values in brain activity. After the LPM session (TP2), Group 1 at TP1 also showed significant variation in ALFF and ReHo values in brain activity. In addition, the latter (TP2 vs TP1) showed more significant changes in brain regions than the former (Group 1 vs Group 2). The ALFF values were increased in the Frontal_Mid_R and decreased in the Precentral_L in Group 1 at TP2 compared with TP1. The Reho values were increased in the Frontal_Mid_R and decreased in the Precentral_L in Group 1 at TP2 compared with TP1. The ALFF values were increased in the Precuneus_R and decreased in the Frontal_Mid_Orb_L in Group 1 compared with Group 2. Only three brain areas with significant activity in Group 1 compared with Group 2: Frontal_Mid_Orb_L, Frontal_Sup_Orb_L, and Frontal_Mid_R. ALFF value in the Frontal_Mid_R at TP2 correlated positively with the change rates of JOA scores between TP1 and TP2 (P = 0.04, r = 0.319, R² = 0.102). Patients with LDH showed abnormal brain ALFF and ReHo values, which were altered after LPM. The default mode network, prefrontal cortex, and primary somatosensory cortex regions could predict real-time brain activity for sensory and emotional pain management in patients with LDH after LPM.

Background: Low back pain is a common reason for medical care and carries a heavy social burden. The efficacy of Tuina or health care education for low back pain has been evaluated in previous systematic reviews. However, there is no evidence to support the superiority of one form of treatment over another. The aim of this study is to compare the efficacy of Tuina with health care education in the management of low back pain. Methods/design: This study is a randomized controlled trial with parallel-group design including two groups: a Tuina group and a health care education group. A total of 160 eligible participants will be randomly assigned to the groups in a 1:1 ratio. The interventions of both groups will last for 20 min and be carried out twice each week for a period of 12 weeks. The primary outcome is the Oswestry Disability Index. The secondary outcomes include a visual analogue scale and the 36-item Short Form Health Survey. They will be assessed at baseline, at the end of the intervention every month, and during 6 months and 9 months of follow-up by repeated measures analysis of variance. The significance level is 5%. The safety of Tuina and health care education will be evaluated after each treatment session. This study will focus on the value of Tuina and health care education for low back pain and will highlight any differences in the efficacy of the treatments. Discussion: This study will evaluate the efficacy and safety of Tuina intervention for low back pain, which could provide reliable evidence for clinical decision making for patients with low back pain. Trial registration: Chinese Clinical Trial Registry, ChiCTR1900022656. Registered on 23 April 2019.

Background: Observational studies have hinted at a correlation between the gut microbiota and spinal pain (SP). However, the impact of the gut microbiota on SP remains inconclusive.Methods: In this study, we employed a two-sample Mendelian randomization (MR) analysis to explore the causal relationship between the gut microbiota and SP, encompassing neck pain (NP), thoracic spine pain (TSP), low back pain (LBP), and back pain (BP). The compiled gut microbiota data originated from a genome-wide association study (GWAS) conducted by the MiBioGen consortium (n = 18,340). Summary data for NP were sourced from the UK Biobank, TSP from the FinnGen Biobank, and LBP from both the UK Biobank and FinnGen Biobank. Summary data for BP were obtained from the UK Biobank. The primary analytical approach for assessing causal relationships was the Inverse Variance Weighted (IVW) method, supplemented by various sensitivity analyses to ensure result robustness.Results: The IVW analysis unveiled 37 bacterial genera with a potential causal relationship to SP. After Benjamini-Hochberg corrected test, four bacterial genera emerged with a strong causal relationship to SP. Specifically, Oxalobacter (OR: 1.143, 95% CI 1.061–1.232, P = 0.0004) and Tyzzerella 3 (OR: 1.145, 95% CI 1.059–1.238, P = 0.0007) were identified as risk factors for LBP, while Ruminococcaceae UCG011 (OR: 0.859, 95% CI 0.791–0.932, P = 0.0003) was marked as a protective factor for LBP, and Olsenella (OR: 0.893, 95% CI 0.839–0.951, P = 0.0004) was recognized as a protective factor for low back pain or/and sciatica. No significant heterogeneity or horizontal pleiotropy was observed through alternative testing methods.Conclusion: This study establishes a causal relationship between the gut microbiota and SP, shedding light on the “gut-spine” axis. These findings offer novel perspectives for understanding the etiology of SP and provide a theoretical foundation for potential interventions targeting the gut microbiota to prevent and treat SP.