Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors

Neuropathic pain, a debilitating condition caused by dysfunction of the somatosensory nervous system, remains difficult to treat due to limited understanding of its molecular mechanisms. Bioinformatics analysis identified cerebellin 2 (CBLN2) as highly enriched in human and murine proprioceptive and nociceptive neurons. We found that CBLN2 expression is persistently upregulated in dorsal root ganglia (DRG) following spinal nerve ligation (SNL) in mice. In addition, transcription factor SOX11 binds to 12 cis-regulatory elements within the Cbln2 promoter to enhance its transcription. SNL also induced SOX11 upregulation, with SOX11 and CBLN2 co-localized in nociceptive neurons. The siRNA-mediated knockdown of Sox11 or Cbln2 attenuated SNL-induced mechanical allodynia and thermal hyperalgesia. High-throughput sequencing of DRG following intrathecal injection of CBLN2 revealed widespread gene expression changes, including upregulation of numerous NF-κB downstream targets. Consistently, CBLN2 activated NF-κB signaling, and inhibition with pyrrolidine dithiocarbamate reduced CBLN2-induced pain hypersensitivity, proinflammatory cytokines and chemokines production, and neuronal hyperexcitability. Together, these findings identified the SOX11/CBLN2/NF-κB axis as a critical mediator of neuropathic pain and a promising target for therapeutic intervention.
Animals ; Neuralgia/metabolism* ; Ganglia, Spinal/metabolism* ; Up-Regulation ; Mice ; NF-kappa B/metabolism* ; SOXC Transcription Factors/genetics* ; Male ; Neuroinflammatory Diseases/metabolism* ; Mice, Inbred C57BL ; Nerve Tissue Proteins/genetics* ; Hyperalgesia/metabolism* ; Signal Transduction ; Spinal Nerves

OBJECTIVE: Prunella vulgaris L. has long been used for liver protection according to traditional Chinese medicine theory and has been proven by modern pharmacological research to have multiple potential liver-protective effects. However, its effects on non-alcoholic steatohepatitis (NASH) are currently uncertain. Our study explores the effects of P. vulgaris polysaccharides on NASH and intestinal homeostasis. METHODS: An aqueous extract of the dried fruit spikes of P. vulgaris was precipitated in an 85% ethanol solution (PVE85) to extract crude polysaccharides from the herb. A choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD) was administrated to male C57BL/6 mice to establish a NASH animal model. After 4 weeks, the PVE85 group was orally administered PVE85 (200 mg/[kg·d]), while the control group and CDAHFD group were orally administered vehicle for 6 weeks. Quantitative real-time polymerase chain reaction analysis, Western blotting, immunohistochemistry and other methods were used to assess the impact of PVE85 on the liver in mice with NASH. 16S rRNA gene amplicon analysis was employed to evaluate the gut microbiota abundance and diversity in each group to examine alterations at various taxonomic levels. RESULTS: PVE85 significantly reversed the course of NASH in mice. mRNA levels of inflammatory mediators associated with NASH and protein expression of hepatic nucleotide-binding leucine-rich repeat and pyrin domain-containing protein 3 (NLRP3) were significantly reduced after PVE85 treatment. Moreover, PVE85 attenuated the thickening and cross-linking of collagen fibres and inhibited the expression of fibrosis-related mRNAs in the livers of NASH mice. Intriguingly, PVE85 restored changes in the gut microbiota and improved intestinal barrier dysfunction induced by NASH by increasing the abundance of Actinobacteria and reducing the abundance of Proteobacteria at the phylum level. PVE85 had significant activity in reducing the relative abundance of Clostridiaceae at the family levels. PVE85 markedly enhanced the abundance of some beneficial micro-organisms at various taxonomic levels as well. Additionally, the physicochemical environment of the intestine was effectively improved, involving an increase in the density of intestinal villi, normalization of the intestinal pH, and improvement of intestinal permeability. CONCLUSION PVE85 can reduce hepatic lipid overaccumulation, inflammation, and fibrosis in an animal model of CDAHFD-induced NASH and improve the intestinal microbial composition and intestinal structure. Please cite this article as: Zhu MJ, Song YJ, Rao PL, Gu WY, Xu Y, Xu HX. Therapeutic role of Prunella vulgaris L. polysaccharides in non-alcoholic steatohepatitis and gut dysbiosis. J Integr Med. 2025; 2025; 23(3): 297-308.
Animals ; Non-alcoholic Fatty Liver Disease/drug therapy* ; Male ; Dysbiosis/drug therapy* ; Mice, Inbred C57BL ; Gastrointestinal Microbiome/drug effects* ; Polysaccharides/therapeutic use* ; Prunella/chemistry* ; Mice ; Liver/metabolism* ; Plant Extracts/therapeutic use* ; Disease Models, Animal ; Diet, High-Fat

Objective:To explore the relationship between Epstein-Barr virus (EBV) infection, hepatitis B virus (HBV) reactivation and clinical features and prognosis in HBV-infected non-Hodgkin lymphoma (NHL) patients and influencing factors of HBV reactivation.Methods:A retrospective cohort study was conducted. A total of 80 NHL patients with hepatitis B surface antigen (HBsAg) positive (which was defined as HBV positive) who were admitted to the Second People's Hospital of Lianyungang and Jiangsu Province Hospital from December 2012 to October 2022 were selected. All patients were divided into EBV-positive group and EBV-negative group according to EBV DNA results, and further grouped into the HBV reactivation group and the non-reactivation group according to whether HBV were reactivated after chemotherapy. The clinical characteristics of patients among groups were compared. Multivariate logistic regression model was used to analyze the factors influencing HBV reactivation. The Kaplan-Meier method was used to evaluate the progression-free survival (PFS) and overall survival (OS) of patients, and the log-rank test was used for inter-group comparison.Results:Among NHL patients with HBV positive, 27 cases (33.8%) were EBV-positive and 29 cases (36.3%) were HBV reactivation. Compared with the EBV-negative group, the proportion of patients with Ann Arbor stage Ⅲ-Ⅳ [92.6% (25/27) vs. 66.0% (35/53)], elevated β 2-microglobulin level [88.9% (24/27) vs. 62.3% (33/53)], bone marrow involvement [40.7% (11/27) vs. 15.1% (8/53)], and HBV reactivation [51.9% (14/27) vs. 28.3% (15/53)] was higher in the EBV-positive group, and the differences were statistically significant (all P<0.05). There were no statistically significant differences in the composition of patients stratified by age, gender, pathological type, B symptom, lactate dehydrogenase level, international prognostic index score, number of extranodal involvements, liver involvement, hepatitis outbreak, prophylactic anti-HBV therapy, hepatitis B surface antibody (HBsAb), rituximab therapy, and the last chemotherapy effects between the 2 groups (all P > 0.05). Compared with the HBV non-reactivation group, the proportion of patients undergoing hepatitis outbreak [48.3% (14/29) vs. 17.6% (9/51)], not receiving prophylactic anti-HBV therapy [65.5% (19/29) vs. 39.2% (20/51)], HBsAb negative [79.3% (23/29) vs. 21.6% (11/51)], EBV positive [48.3% (14/29) vs. 25.5% (13/51)], receiving rituximab [82.8% (24/29) vs. 60.8% (31/51)] was higher in the HBV reactivation group, and the differenves were statistically significant (all P < 0.05); while there were no statistically significant differences in the composition of patients stratified by the other clinical characteristics between the 2 groups (all P > 0.05). Multivariate logistic regression analysis showed that EBV-positivity was an independent risk factor for HBV reactivation after chemotherapy in NHL patients with HBsAg positive ( OR = 7.073, 95% CI: 1.613-31.010, P = 0.009), while HBsAb positive ( OR = 0.038, 95% CI: 0.008-0.186, P < 0.001) and preventive anti-HBV therapy ( OR = 0.172, 95% CI: 0.039-0.756, P = 0.020) were independent protective factors. The last follow-up was in December 2023 and the median follow-up time was 36.5 months. There were no statistically significant differences in PFS and OS between the EBV-positive group and the EBV-negative group, HBV reactivation group and the non-reactivation group (all P > 0.05). Conclusions:Among HBV-infected NHL patients, those with concurrent EBV infection have a more advanced clinical stage and are very prone to bone marrow invasion, and they also show a higher probability of HBV reactivation; HBV reactivation may be related to whether receiving preventive anti-HBV therapy and rituximab therapy. EBV infection may increase the risk of HBV reactivation in NHL patients; EBV infection and HBV reactivation may not be relevant to the prognosis of patients.