Steam explosion pretreatment enhances free/combined phytosterol extraction and utilization in rapeseed (Brassica napus L.) and its processed products: Insights from SPE-GC approach.

The study investigates the impact of steam explosion pretreatment on the distribution of free and combined phytosterols within rapeseed and its derived products. Utilizing solid phase extraction-gas chromatography (SPE-GC) analysis, we elucidated the composition and distribution of phytosterols in five rapeseed varieties and their corresponding processed oils and cakes. The results indicated that Zhongyou 516 and Xiwang 988 are richer in combined phytosterols, whereas Dadi 199, Zhongyouza 501, and Xiwang 291 have a greater concentration of free phytosterols. Steam explosion pretreatment significantly increased the extraction proportion of combined phytosterols in rapeseeds. Throughout the oil process, more than half of the total phytosterol content, specifically 57.0%, was transferred from the steam explosion-treated rapeseed into the rapeseed oil. The variety Xiwang 291 showed the highest efficiency in this transfer, achieving a rate of 61.7%. The study provides crucial data for the enhancement of rapeseed processing techniques and the efficient utilization of phytosterols. Moreover, the study highlights the potential use of the ratio of free to combined phytosterols as a discriminator for different rapeseed oil varieties, offering valuable insights for quality assurance and product differentiation in the industry.

The protective role of Mertk in JEV-induced encephalitis by maintaining the integrity of blood-brain barrier.

Japanese encephalitis is an acute infectious disease of the central nervous system caused by neurotropic Japanese encephalitis virus (JEV). As a member of TAM (Tyro3, Axl and Mertk) family, Mertk has involved in multiple biological processes by engaging with its bridging ligands Gas6 and Protein S, including invasion of pathogens, phagocytosis of apoptotic cells, inflammatory response regulation, and the maintenance of blood brain barrier (BBB) integrity. However, its role in encephalitis caused by JEV infection has not been studied in detail. Here, we found that Mertk-/- mice exhibited higher mortality and more rapid disease progression than wild-type mice after JEV challenge. There were no significant differences in viral load and cytokines expression level in peripheral tissues between Wild type and Mertk-/- mice. Furthermore, the absence of Mertk had little effect on the inflammatory response and immunopathological damage while it can cause an increased viral load in the brain. For the in vitro model of BBB, Mertk was shown to maintain the integrity of the BBB. In vivo, Mertk-/- mice exhibited higher BBB permeability and lower BBB integrity. Taken together, our findings demonstrate that Mertk acts as a protective factor in the development of encephalitis induced by JEV infection, which is mainly associated with its beneficial effect on BBB integrity, rather than its regulation of inflammatory response.

Comprehensive profiling and evaluation of free/conjugated Phytosterols in crops using chemical derivatization coupled with UHPLC-ESI-QTOF-MS/MS.

Phytosterols are naturally existed in crops but their detection is constrained by sensitivity and accuracy due to the inefficient analytical approaches. This study hypothesizes that an untargeted analytical method combining chemical derivatization with ultrahigh performance liquid chromatography-electrospray ionization quadrupole time-of-flight mass spectrometry can identify the various composition and contents of phytosterols in different crops. The results showed that chemical derivatization significantly enhanced intensity of phytosterols compared with non-derivatized samples. Using precursor ion scanning (PIS) of m/z 252.0690, dansyl chloride-labeled phytosterols were identified, demonstrating that rapeseeds had the highest content of total phytosterol (3981.2 ± 95.3 mg/kg), followed by sunflower seeds, flaxseeds, corn and rice, respectively. Principal component analysis revealed significant variations in phytosterol distribution among 15 crop samples, suggesting the applicability of phytosterol profile as a marker for phytosterols-contained crops. Hence, the proposed analytic approach proves high efficiency and accuracy in determining phytosterols and advances the study for phytosterol-enriched crops.

Comprehensive physicochemical indicators analysis and quality evaluation model construction for the post-harvest ripening rapeseeds.

Rapeseed (Brassica napus L.) is the second largest globally cultivated oil crop, but the effects of post-harvested ripening on rapeseed quality is unclear and unpredictable. This study reveals the relationship between post-harvest ripening periods (PHR) and physicochemical quality of different rapeseed cultivars using comprehensive physicochemical indicators analysis. The results indicate that PHR led to a gradual decrease in chlorophyll, carotenoid and moisture content but continually increased oil and total phenol content (TPC). Besides, 295 lipid molecules from 13 lipid subclasses were identified, revealing that the relative content of triacylglycerol (TG) was progressively increased while diacylglycerol (DG) demonstrated a consistent decline throughout the PHR. Correlation analysis, hierarchical cluster analysis (HCA) and principal component analysis (PCA) were employed to construct and verify the comprehensive quality evaluation model for rapeseeds in PHR. This paper develops a comprehensive quality evaluation model for post-harvest ripening rapeseeds and advances the development of agricultural products.

Weekly-specific ambient PM1 before and during pregnancy and the risk of gestational diabetes mellitus.

BACKGROUND: Exposure to fine or respirable particulate matter has been linked to an elevated risk of gestational diabetes mellitus (GDM). However, the association between exposure to particulate matter with an aerodynamic diameter ≤ 1 µm (PM1) and GDM has not been explored. METHODS: We conducted a cohort study involving 60,173 pregnant women from nine hospitals in Beijing, China, from February 2015 to April 2021. Daily concentrations of PM1 and ozone were obtained from a validated spatiotemporal artificial intelligence model. We used a modified Poisson regression combined with distributed lag models to estimate the association between weekly-specific PM1 exposure and the risk of GDM after adjusting for individual-level covariates. RESULTS: Among the 51,299 pregnant women included in the final analysis, 4008 were diagnosed with GDM. Maternal exposure to PM1 during preconception and gestational periods was generally associated with an increased risk of GDM. The most pronounced associations were identified during the 12th week before pregnancy, the 5th-8th weeks of the first trimester, and the 23rd-24th weeks of the second trimester. Each 10 µg/m3 increase in PM1 was associated with a relative risk of GDM of 1.65 (95 % CI: 1.59, 1.72) during the preconception period, 1.67 (95 % CI: 1.61, 1.73) in the first trimester, 1.52 (95 % CI: 1.47, 1.58) in the second trimester, and 2.54 (95 % CI: 2.45, 2.63) when considering the first and second trimester combined. CONCLUSIONS: Exposure to PM1 before and during pregnancy was associated with an increased risk of GDM, particularly during the 12 weeks before pregnancy and gestational weeks 5-8 and 23-24.

Reducing soil and leaf shadow interference in UAV imagery for cotton nitrogen monitoring.

Introduction: Individual leaves in the image are partly veiled by other leaves, which create shadows on another leaf. To eliminate the interference of soil and leaf shadows on cotton spectra and create reliable monitoring of cotton nitrogen content, one classification method to unmanned aerial vehicle (UAV) image pixels is proposed. Methods: In this work, green light (550 nm) is divided into 10 levels to limit soil and leaf shadows (LS) on cotton spectrum. How many shadow has an influence on cotton spectra may be determined by the strong correlation between the vegetation index (VI) and leaf nitrogen content (LNC). Several machine learning methods were utilized to predict LNC using less disturbed VI. R-Square (R 2), root mean square error (RMSE), and mean absolute error (MAE) were used to evaluate the performance of the model. Results: (i) after the spectrum were preprocessed by gaussian filter (GF), SG smooth (SG), and combination of GF and SG (GF&SG), the significant relationship between VI and LNC was greatly improved, so the Standard deviation of datasets was also decreased greatly; (ii) the image pixels were classified twice sequentially. Following the first classification, the influence of soil on vegetation index (VI) decreased. Following secondary classification, the influence of soil and LS to VI can be minimized. The relationship between the VI and LNC had improved significantly; (iii) After classifying the image pixels, the VI of 2-3, 2-4, and 2-5 have a stronger relationship with LNC accordingly. Correlation coefficients (r) can reach to 0.5. That optimizes monitoring performance when combined with GF&SG to predict LNC, support vector machine regression (SVMR) has the better performance, R 2, RMSE, and MAE up to 0.86, 1.01, and 0.71, respectively. The UAV image classification technique in this study can minimize the negative effects of soil and LS on cotton spectrum, allowing for efficient and timely predict LNC.

Circulating tumor cells: from new biological insights to clinical practice.

The primary reason for high mortality rates among cancer patients is metastasis, where tumor cells migrate through the bloodstream from the original site to other parts of the body. Recent advancements in technology have significantly enhanced our comprehension of the mechanisms behind the bloodborne spread of circulating tumor cells (CTCs). One critical process, DNA methylation, regulates gene expression and chromosome stability, thus maintaining dynamic equilibrium in the body. Global hypomethylation and locus-specific hypermethylation are examples of changes in DNA methylation patterns that are pivotal to carcinogenesis. This comprehensive review first provides an overview of the various processes that contribute to the formation of CTCs, including epithelial-mesenchymal transition (EMT), immune surveillance, and colonization. We then conduct an in-depth analysis of how modifications in DNA methylation within CTCs impact each of these critical stages during CTC dissemination. Furthermore, we explored potential clinical implications of changes in DNA methylation in CTCs for patients with cancer. By understanding these epigenetic modifications, we can gain insights into the metastatic process and identify new biomarkers for early detection, prognosis, and targeted therapies. This review aims to bridge the gap between basic research and clinical application, highlighting the significance of DNA methylation in the context of cancer metastasis and offering new avenues for improving patient outcomes.

Clarifying the relationship between insecure attachment and problematic social media use across platforms: a network analysis.

BACKGROUND: Despite evidence suggesting that insecure attachment is a significant risk factor for Problematic Social Media Use (PSMU), there remains a lack of comprehensive studies exploring this relationship, and a unified understanding of its role has yet to be established. METHODS: We employed network analysis to construct an integrated model for examining the complex interrelations between negative emotions, trait and state attachment, motives, and PSMU across three platforms (i.e., WeChat, Sina Weibo, and TikTok), as well as for identifying potential mediating variables between attachment and PSMU. Data were collected from 685 young adults via online self-reported questionnaires. RESULTS: We found that negative emotions are positively correlated with insecure trait and state attachment but have a negligible direct relationship with PSMU. The conformity motive and state attachment security emerged as important central nodes when measured by strength, closeness, and betweenness. Moreover, attachment states and motives were found to be clustered. Such strong interrelationships were also evident between insecure attachment and PSMU, while trait attachment anxiety and avoidance were observed to be related to PSMU across various platforms. CONCLUSIONS: Our findings promote a deeper understanding of the relationship between insecure attachment and PSMU from a cross-platform perspective and offer novel insights into the mechanisms underlying their co-occurrence, which may guide the development of effective interventions for healthier social media engagement.

The antitumor effect of diisopropylamine dichloroacetate on non-small cell lung cancer and its influence on the tumor immune microenvironment.

Objective: To evaluate the antitumor effects of diisopropylamine dichloroacetate (DADA) alone or in combination with chemotherapy/radiotherapy/immunotherapy in NSCLC and explore the underlying mechanisms involved. Methods: MTT, UV spectrophotometry, flow cytometry, fluorescence microscopy, and clonogenic survival assays were used. In LLC mouse models, the antitumor effects of radiotherapy, DADA, and the anti-PD-1 antibody alone or in combination were evaluated, and the T cell numbers were evaluated in different groups. Results: DADA significantly inhibited lactate production and promoted apoptosis in NSCLC in vitro. Compared with pemetrexed or DADA alone, the combination of DADA with pemetrexed significantly inhibited proliferation and promoted apoptosis (p<0.05). This may be related to the decrease in the mitochondrial membrane potential in the combined group. Moreover, compared with radiotherapy alone, the combination of DADA with radiotherapy induced remarkable DNA damage. In vivo, the combination of radiotherapy, an anti-PD-1 antibody and DADA resulted in superior tumor inhibition than the combination of radiotherapy and anti-PD-1 antibody did (p < 0.05). The underlying mechanism may be partially related to the increased number of CD3+ T cells in the triplet combination group (p < 0.05). Discussion: Our results showed that DADA has strong antitumor effects on NSCLC, either alone or in combination with chemotherapy or radiotherapy. Interestingly, the combination of radiotherapy, anti-PD-1 antibody and DADA had a more pronounced tumor-suppressing effect, which may be related to DADA-induced T-cell generation by reducing local lactic acid production in the tumor microenvironment. This study lays the foundation for further exploration of DADA in lung cancer, especially in the era of immunotherapy, on the basis of its possible immunomodulatory effects.

Occurrence, risk assessment and source apportionment of perfluoroalkyl acids in the river of a hill-plain intersection region: The impacts of land use and river network structure.

Studying the impacts of land use and river network structure on perfluoroalkyl acids (PFAAs) footprint in rivers is crucial for predicting the fate of PFAAs in aquatic environments. This study investigated the distribution, ecological risks, sources and influence factors of 17 PFAAs in water and sediments of rivers from hills to plain areas. The results showed that the detection frequencies were higher for short-chain PFAAs than long-chain PFAAs in water, whereas an opposite pattern was found in sediments. The concentration of ∑PFAAs ranged from 59.2 to 414 ng/L in water and from 1.4 to 60.1 ng/g in sediments. Perfluorohexanoic acid and perfluorooctanoic acid were identified as the main pollutants in the river. The average concentrations of PFAAs were higher in the aquaculture areas (water: 309.8 ng/L; sediments: 43.27 ng/g) than in residential areas (water: 206.03 ng/L; sediments: 11.7 ng/g) and farmland areas (water: 123.12 ng/L; sediments: 9.4 ng/g). Environmental risk assessment showed that PFAAs were mainly low risk or no risk in water, but were moderate risk and even high risk in sediments, especially for perfluorooctane sulfonate. Source apportionment found that PFAA sources were mostly from industry, wastewater discharge, and surface runoff. Dissolved oxygen, chemical oxygen demand, water system circularity, network connectivity and organic matter were significantly correlated to PFAA concentration, indicating that the physicochemical properties and river network might directly influence the environmental behavior of PFAAs. The built-up area was positively correlated with PFAAs. These findings indicated that a comprehensive understanding of the influences of land use and river network structure on PFAAs in rivers is essential for managers to formulate effective PFAA control strategies.

Inhibition of human UDP-glucuronosyltransferase (UGT) enzymes by darolutamide: Prediction of in vivo drug-drug interactions.

Darolutamide is a potent second-generation, selective nonsteroidal androgen receptor inhibitor (ARI), which has been approved by the US Food and Drug Administration (FDA) in treating castrate-resistant, non-metastatic prostate cancer (nmCRPC). Whether darolutamide affects the activity of UDP-glucuronosyltransferases (UGTs) is unknown. The purpose of the present study is to evaluate the inhibitory effect of darolutamide on recombinant human UGTs and pooled human liver microsomes (HLMs), and explore the potential for drug-drug interactions (DDIs) mediated by darolutamide through UGTs inhibition. The product formation rate of UGTs substrates with or without darolutamide was determined by HPLC or UPLC-MS/MS to estimate the inhibitory effect and inhibition modes of darolutamide on UGTs were evaluated by using the inhibition kinetics experiments. The results showed that 100 µM darolutamide exhibited inhibitory effects on most of the 12 UGTs tested. Inhibition kinetic studies of the enzyme revealed that darolutamide noncompetitively inhibited UGT1A1 and competitively inhibited UGT1A7 and 2B15, with the Ki of 14.75 ± 0.78 µM, 14.05 ± 0.42 µM, and 6.60 ± 0.08 µM, respectively. In particular, it also potently inhibited SN-38, the active metabolite of irinotecan, glucuronidation in HLMs with an IC50 value of 3.84 ± 0.46 µM. In addition, the in vitro-in vivo extrapolation (IVIVE) method was used to quantitatively predict the risk of darolutamide-mediated DDI via inhibiting UGTs. The prediction results showed that darolutamide may increase the risk of DDIs when administered in combination with substrates of UGT1A1, UGT1A7, or UGT2B15. Therefore, the combined administration of darolutamide and drugs metabolized by the above UGTs should be used with caution to avoid the occurrence of potential DDIs.

Epidemiological characteristics and early predict model of children Mycoplasma Pneumoniae Pneumonia outbreaks after the COVID-19 in Shandong.

Since October 2023, a significant outbreak of Mycoplasma Pneumoniae Pneumonia (MPP) has been observed in children in northern China. Chinese health authorities have attributed this epidemiological to immune debt resulting from the relaxation of coronavirus disease 2019 (COVID-19) control measures. This study described the epidemiological features of Mycoplasma pneumoniae (MP) prevalence in children and developed a straightforward prediction model to differentiate between MPP and viral pneumonia in children. The infection rate of MP in children notably increased from 8.12 in 2022 to 14.94% in 2023, peaking between October and November, especially among school-age children. Logistic regression screening identified four key indicators: Age, D-Dimer levels, erythrocyte sedimentation rate, and gender. The developed nomogram exhibited a receiver operator characteristic curve-area under the curve (ROC-AUC) of 0.858, with external validation confirming an ROC-AUC of 0.794. This study examined the epidemiological characteristics of MPP prevalence in children in Shandong Province during and after the COVID-19 pandemic. An early predict model was developed and validated to differentiate between Mycoplasma Pneumoniae and viral infections.

Relationship between bullying victimization and murderous behaviors and impulsivity's mediating role: Evidence from Chinese early adolescents.

BACKGROUND: Evidence suggests a robust relationship between experiencing bullying victimization (BV) and engaging in murderous behaviors among adolescents. However, the potential mediating effect of impulsivity on the relationship between BV and murderous behaviors in early adolescents remains underexplored. METHODS: A total of 5724 adolescents, with a mean age of 13.5 years, were enrolled from three middle schools in Anhui Province, China. Participants completed self-report questionnaires detailing their experiences with bullying, impulsiveness, and murderous behaviors. To assess the relationship between BV and murderous behaviors, multivariate logistic regression and Poisson regression analyses were conducted. Mediation analysis was performed using structural equation modeling. RESULTS: After controlling for confounding factors, a positive association was found between experiencing BV and engaging in murderous behaviors (p < 0.05). Mediation analysis revealed a significant indirect effect of BV on the occurrence of murderous behaviors through impulsivity (indirect effect = 0.027, 95 % CI: 0.021, 0.033). BV appears to heighten levels of impulsivity, which in turn increases the likelihood of murderous behaviors. Additionally, sex-specific analysis indicated that impulsivity played a greater mediating role in the link between verbal and relational BV and murderous behaviors in females, while physical and cyber BV were more significant in males. CONCLUSIONS: Our findings underscore the necessity of early targeted interventions for adolescents experiencing BV and exhibiting high levels of impulsivity to mitigate their risk of engaging in murderous behaviors.

The fusion of vegetation indices increases the accuracy of cotton leaf area prediction.

Introduction: Rapid and accurate estimation of leaf area index (LAI) is of great significance for the precision agriculture because LAI is an important parameter to evaluate crop canopy structure and growth status. Methods: In this study, 20 vegetation indices were constructed by using cotton canopy spectra. Then, cotton LAI estimation models were constructed based on multiple machine learning (ML) methods extreme learning machine (ELM), random forest (RF), back propagation (BP), multivariable linear regression (MLR), support vector machine (SVM)], and the optimal modeling strategy (RF) was selected. Finally, the vegetation indices with a high correlation with LAI were fused to construct the VI-fusion RF model, to explore the potential of multi-vegetation index fusion in the estimation of cotton LAI. Results: The RF model had the highest estimation accuracy among the LAI estimation models, and the estimation accuracy of models constructed by fusing multiple VIs was higher than that of models constructed based on single VIs. Among the multi-VI fusion models, the RF model constructed based on the fusion of seven vegetation indices (MNDSI, SRI, GRVI, REP, CIred-edge, MSR, and NVI) had the highest estimation accuracy, with coefficient of determination (R2), rootmean square error (RMSE), normalized rootmean square error (NRMSE), and mean absolute error (MAE) of 0.90, 0.50, 0.14, and 0.26, respectively. Discussion: Appropriate fusion of vegetation indices can include more spectral features in modeling and significantly improve the cotton LAI estimation accuracy. This study will provide a technical reference for improving the cotton LAI estimation accuracy, and the proposed method has great potential for crop growth monitoring applications.

Use of proteomics to elucidate characteristics of Cronobacter sakazakii under mild heat stress.

Cronobacter sakazakii is an opportunistic pathogen known for causing severe diseases. Mild heat treatment is commonly used in food processing, however, the pathogenic characteristics and underlying mechanisms of Cronobacter sakazakii strains remain poorly understood. In this study, we found that mild heat stress (MHS) at 52 °C can induce several deleterious effects in Cronobacter sakazakii, including damage to the cell wall, genomic DNA breakage, and misfolding of cytoplasmic proteins. These conditions lead to a decreased survival ability under acid, desiccation, and osmotic stress; a reduction in biofilm formation; and diminished motility. Notably, surviving C. sakazakii cells retain their pathogenicity, causing significant intestinal damage in newborn mice. This damage is characterized by epithelial sloughing and disruption of the intestinal structure. Tandem mass tag (TMT)-based proteomics identified 736 proteins with differential abundance across C. sakazakii strains subjected to mild heat stress, highlighting adaptations in biofilm formation, motility, and stress tolerance. Key regulatory changes were observed in phospholipid metabolism and protein synthesis, which underpin this complex stress response. This data illustrates a sophisticated balance between environmental adaptability and pathogenic potential. The metabolic and pathogenic responses of C. sakazakii to mild heat stress are closely linked to its phospholipid metabolism and the production of secretory proteins, both crucial for its virulence and reliant on membrane transport. This complex interplay emphasizes the need to understand these mechanisms to develop effective control strategies.

Auditory entrainment coordinates cortical-BNST-NAc triple time locking to alleviate the depressive disorder.

Listening to music is a promising and accessible intervention for alleviating symptoms of major depressive disorder. However, the neural mechanisms underlying its antidepressant effects remain unclear. In this study on patients with depression, we used auditory entrainment to evaluate intracranial recordings in the bed nucleus of the stria terminalis (BNST) and nucleus accumbens (NAc), along with temporal scalp electroencephalogram (EEG). We highlight music-induced synchronization across this circuit. The synchronization initiates with temporal theta oscillations, subsequently inducing local gamma oscillations in the BNST-NAc circuit. Critically, the incorporated external entrainment induced a modulatory effect from the auditory cortex to the BNST-NAc circuit, activating the antidepressant response and highlighting the causal role of physiological entrainment in enhancing the antidepressant response. Our study explores the pivotal role of the auditory cortex and proposes a neural oscillation triple time-locking model, emphasizing the capacity of the auditory cortex to access the BNST-NAc circuit.

Early Radiographic and Clinical Outcomes of Robotic-arm-assisted versus Conventional Total Knee Arthroplasty: A Multicenter Randomized Controlled Trial.

OBJECTIVE: A robotic system was recently introduced to improve prosthetic alignment during total knee arthroplasty (TKA). The purpose of this multicenter, prospective, randomized controlled trial (RCT) was to determine whether robotic-arm-assisted TKA improves clinical and radiological outcomes when compared to conventional TKA. METHODS: One hundred and thirty patients who underwent primary TKA were enrolled in this prospective, randomized controlled trial, which was conducted at three hospitals. Five patients were lost to follow-up 6 weeks after surgery. Therefore, 125 participants (63 in the intervention group and 62 in the control group) remained in the final analysis. The primary outcome was the rate at which the mechanical axis of the femur deviated by less than 3° from the mechanical axis of the tibia. This was evaluated by full-length weight-bearing X-rays of the lower limb 6 weeks postoperatively. Secondary outcomes included operation times, 6-week postoperative functional outcomes evaluated by the American Knee Society score (KSS) and the Western Ontario and McMaster Universities osteoarthritis index (WOMAC), short form-36 (SF-36) health survey results, and the occurrence of adverse events (AEs) and serious adverse events (SAEs). RESULTS: At 6 weeks postoperatively, we found that the rate of radiographic inliers was significantly higher in the intervention group (78.7% vs 51.6%; p = 0.00; 95% confidence interval, 10.9% to 43.2%). The operation was significantly longer in the intervention group than in the control group (119.5 vs 85.0 min; p = 0.00). There were no significant differences in the 6-week postoperative functional outcomes, SF-36, AEs, and SAEs between the two groups. There were no AEs or SAEs that were determined to be "positively related" to the robotic system. CONCLUSION: Robotic-arm-assisted TKA is safe and effective, as demonstrated in this trial.

Malignant myopericytoma originating from the colon: A case report.

BACKGROUND: Myopericytoma is a benign tumor that typically occurs within subcutaneous tissue and most often involves the distal extremities, followed by the proximal extremities, neck, thoracic vertebrae and oral cavity. Complete resection is often curative. Malignant myopericytoma is extremely rare and has a poor prognosis. Here, we report for the first time a case of malignant myopericytoma originating from the colon. CASE SUMMARY: A 69-year-old male was admitted to our hospital with right upper quadrant pain for five days. Imaging suggested a liver mass with hemorrhage. A malignant hepatic tumor was the initial diagnosis. Surgical resection was performed after a complete preoperative work up. Initial postoperative pathology suggested that the mass was a malignant myoblastoma unrelated to the liver. Four months after the first surgery, an enhanced computed tomography (CT) scan revealed a recurrence of the tumor. The diagnosis of malignant myopericytoma derived from the colon was confirmed on histopathological examination of the specimen from the second surgery. The patient did not return to the hospital regularly for surveillance. The first postoperative abdominal CT examination six months after the second surgery demonstrated multiple liver metastases. Survival time between the diagnosis of the tumor to death was approximately one year. CONCLUSION: Malignant myopericytoma is a rare cancer. Preoperative diagnosis may be difficult. Due to a lack of treatment options, prognosis is poor.

Exploring the bidirectional causal associations between pain and circulating inflammatory proteins: A Mendelian randomization study.

Multisite chronic pain (MCP) and site-specific chronic pain (SSCP) may be influenced by circulating inflammatory proteins, but the causal relationship remains unknown. To overcome this limitation, two-sample bidirectional Mendelian randomization (MR) analysis was used to analyse data for 91 circulating inflammatory proteins, MCP and SSCP encompassing headache, back pain, shoulder pain, hip pain, knee pain, stomach abdominal pain and facial pain. The primary MR method used was inverse variance weighting, sensitivity analyses included weighted median, MR pleiotropy residual sum and outlier and the Egger intercept method. Heterogeneity was also detected using Cochrane's Q test and leave-one-out analyses. Finally, a causal relationship between 29 circulating inflammatory proteins and chronic pain was identified. Among these proteins, 14 exhibited a protective effect, including MCP (T-cell surface glycoprotein cluster of differentiation 5), headache (4E-binding protein 1 [4EBP1], cluster of differentiation 40, cluster of differentiation 6 and C-X-C motif chemokine [CXCL] 11), back pain (leukaemia inhibitory factor), shoulder pain (fibroblast growth factor [FGF]-5 and interleukin [IL]-18R1), stomach abdominal pain (tumour necrosis factor [TNF]-α), hip pain (CXCL1, IL-20 and signalling lymphocytic activation molecule 1) and knee pain (IL-7 and TNF-ß). Additionally, 15 proteins were identified as risk factors for MCP and SSCP: MCP (colony-stimulating factor 1, human glial cell line-derived neurotrophic factor and IL-17C), headache (fms-related tyrosine kinase 3 ligand, IL-20 receptor subunit α [IL-20RA], neurotrophin-3 and tumour necrosis factor receptor superfamily member 9), facial pain (CXCL1), back pain (TNF), shoulder pain (IL-17C and matrix metalloproteinase-10), stomach abdominal pain (IL-20RA), hip pain (C-C motif chemokine 11/eotaxin-1 and tumour necrosis factor ligand superfamily member 12) and knee pain (4EBP1). Importantly, in the opposite direction, MCP and SSCP did not exhibit a significant causal impact on circulating inflammatory proteins. Our study identified potential causal influences of various circulating inflammatory proteins on MCP and SSCP and provided promising treatments for the clinical management of MCP and SSCP.