Stearoyl-coenzyme A desaturase 1 (SCD1) catalyzes the rate-limiting step of de novo lipogenesis and modulates lipid homeostasis. Although numerous SCD1 inhibitors were tested for treating metabolic disorders both in preclinical and clinic studies, the tissue-specific roles of SCD1 in modulating obesity-associated metabolic disorders and determining the pharmacological effect of chemical SCD1 inhibition remain unclear. Here a novel role for intestinal SCD1 in obesity-associated metabolic disorders was uncovered. Intestinal SCD1 was found to be induced during obesity progression both in humans and mice. Intestine-specific, but not liver-specific, SCD1 deficiency reduced obesity and hepatic steatosis. A939572, an SCD1-specific inhibitor, ameliorated obesity and hepatic steatosis dependent on intestinal, but not hepatic, SCD1. Mechanistically, intestinal SCD1 deficiency impeded obesity-induced oxidative stress through its novel function of inducing metallothionein 1 in intestinal epithelial cells. These results suggest that intestinal SCD1 could be a viable target that underlies the pharmacological effect of chemical SCD1 inhibition in the treatment of obesity-associated metabolic disorders.

Guided by molecular networking, nine novel curvularin derivatives (1-9) and 16 known analogs (10-25) were isolated from the hydrothermal vent sediment fungus Penicillium sp. HL-50. Notably, compounds 5-7 represented a hybrid of curvularin and purine. The structures and absolute configurations of compounds 1-9 were elucidated via nuclear magnetic resonance (NMR) spectroscopy, X-ray diffraction, electronic circular dichroism (ECD) calculations, ¹³C NMR calculation, modified Mosher's method, and chemical derivatization. Investigation of anti-inflammatory activities revealed that compounds 7-9, 11, 12, 14, 15, and 18 exhibited significant suppressive effects against lipopolysaccharide (LPS)-induced nitric oxide (NO) production in murine macrophage RAW264.7 cells, with IC₅₀ values ranging from 0.44 to 4.40 μmol·L^-1. Furthermore, these bioactive compounds were found to suppress the expression of inflammation-related proteins, including inducible NO synthase (iNOS), cyclooxygenase-2 (COX-2), NLR family pyrin domain-containing protein 3 (NLRP3), and nuclear factor kappa-B (NF-κB). Additional studies demonstrated that the novel compound 7 possessed potent anti-inflammatory activity by inhibiting the transcription of inflammation-related genes, downregulating the expression of inflammation-related proteins, and inhibiting the release of inflammatory cytokines, indicating its potential application in the treatment of inflammatory diseases.
Penicillium/chemistry* ; Mice ; Animals ; Anti-Inflammatory Agents/isolation & purification* ; RAW 264.7 Cells ; Nitric Oxide/metabolism* ; Hydrothermal Vents/microbiology* ; Macrophages/immunology* ; Molecular Structure ; Nitric Oxide Synthase Type II/immunology* ; Cyclooxygenase 2/immunology* ; Geologic Sediments/microbiology* ; NF-kappa B/immunology* ; NLR Family, Pyrin Domain-Containing 3 Protein/immunology*

Objective:To evaluate the diagnostic value of non-targeted detection of metabolic fingerprinting in pulmonary nodules and to analyze the clinical effective model of multi-omics for assessing the malignant risk of pulmonary nodules.Methods:A total of 73 patients who underwent chest CT and completed pathological diagnosis and non-targeted detection of metabolic fingerprinting at Shandong Provincial Hospital Affiliated to Shandong First Medical University from November 2021 to October 2024 were selected as the research subjects. According to the postoperative histopathological diagnosis, the patients were divided into the lung malignant nodule group (61 cases) and the lung benign nodule group (12 cases). General clinical data of the patients, including sex, age, smoking history, and family history of tumors, as well as imaging data, including nodule density, nodule size, nodule location, nodule number, and special imaging manifestations (spiculation, lobulation, vacuole sign, vascular convergence sign, etc.), and non-targeted detection of metabolic fingerprinting results were collected. The above data were compared between the two groups of patients, and the receiver operator characteristic (ROC) curve was drawn to evaluate the predictive value of each model. Results:There were statistically significant differences in age ( t=4.41, P<0.001), nodule size ( Z=2.67, P=0.008), nodule density ( χ2=4.64, P=0.031), and spiculation ( χ2=7.67, P=0.006) between the lung malignant nodule group and the lung benign nodule group. There were no statistically significant differences in sex, smoking history, family history of lung cancer, nodule number, nodule location, lobulation, vacuole sign, vascular convergence sign, pleural indentation sign, calcification sign, bronchial truncation sign, vascular supply sign, and bronchial air sign (all P>0.05). The number of non-targeted detection of metabolic fingerprinting high-risk patients in the lung malignant nodule group (36 cases) was significantly higher than that in the lung benign nodule group (0 case) ( χ2=13.97, P<0.001). ROC curve analysis showed that the area under the curve of the Brock model combined with non-targeted detection of metabolic fingerprinting was 0.930 (95% CI: 0.872-0.988), which was greater than that of the Brock model (0.856, 95% CI: 0.769-0.942, Z=0.27, P=0.040) and non-targeted detection of metabolic fingerprinting (0.768, 95% CI: 0.650-0.887, Z=0.30, P=0.004) alone. Conclusions:Non-targeted detection of metabolic fingerprinting risk assessment may serve as a non-invasive method to assist the Brock model in the diagnosis of pulmonary nodules and has good application value. The combination of the Brock model and non-targeted detection of metabolic fingerprinting can more accurately distinguish the benign and malignant nature of pulmonary nodules.

Objective:To establish HPLC fingerprint and methods for determining the contents of four iridoid glycosides of Gentiana rigescens; To evaluate the quality of Gentiana rigescens from different origins; To improve the quality control level of Gentiana rigescens medicinal materials.Methods:Using 15 batches of Gentiana rigescens from the main production areas and authentic production areas as raw materials, the common mode of HPLC fingerprints of Gentiana rigescens was established, and the chemical components of the common peaks were identified. Referring to the common mode of fingerprints, similarity analysis was conducted on the fingerprints of Gentiana rigescens from different origins. Using chemometric methods, cluster analysis (HCA), principal component analysis (HCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were performed on 15 batches of Gentiana rigescens, with the common peak area of fingerprint as the variable. The contents of four types of iridoid glycosides in Gentiana rigescens were determined. Combined with the fingerprints and the content results of four types of iridoid glycosides, the quality of Gentiana rigescens from different origins was evaluated.Results:The fingerprints of Gentiana rigescens contained 9 common peaks, with 4 identified iridoid glycosides. The similarity of the fingerprints of 15 batches of Gentiana rigescens ranged from 0.962 to 0.999. HCA and PCA divided the 15 batches of Gentiana rigescens into two categories. OPLS-DA analyzed 3 significantly different components, namely gentiopicroside, peak 7, and loganic acid. The content determination results showed that the average contents of loganic acid, swertiamarin, and gentiopicroside in Gentiana rigescens from Dali Bai Autonomous Prefecture and Yunnan Province were the highest, and the total amount of four iridoid glycosides was also significantly higher than that from other regions, indicating that the overall quality of Gentiana rigescens from Dali Bai Autonomous Prefecture and Yunnan Province was relatively good.Conclusion:This method is simple, fast, accurate, and can provide reference for improving the quality standards of Gentiana rigescens.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.

BACKGROUND:With a gradually aging population,improving the ability to screen for the risk of death after arthroplasty and implementing timely personalized intervention programs for the increasing number of elderly patients with femoral neck fractures is key to improving the postoperative status of patients and prolonging survival expectations. OBJECTIVE:To investigate the risk factors for postoperative mortality in elderly patients with femoral neck fractures and to construct a nomogram predictive model to predict their mortality risk. METHODS:The study was conducted on 155 elderly patients(≥65 years old)who underwent arthroplasty for femoral neck fracture from January 2016 to January 2021,and 147 patients who met the inclusion criteria were analyzed to collect clinical data that may affect the patients'postoperative mortality.Single-factor and multi-factor Cox regression analyses were successively used to screen independent risk factors associated with postoperative mortality.The column line graph model was constructed and validated using Rstudio software. RESULTS AND CONCLUSION:(1)Age,frailty(age-adjusted Charlson comorbidities score),preoperative activity status,osteoporosis,and postoperative serum albumin level were five independent risk factors for postoperative mortality in elderly patients with femoral neck fractures(P<0.05).(2)The nomogram predictive model was constructed based on the results of multifactorial analysis,with a consistency index of 0.819(95%CI:0.771-0.868).Receiver operating characteristic curve analysis showed that the area under curve for 1-year and 3-year survival prediction was 0.8543 and 0.7263,respectively,indicating that the nomogram predictive model has good discriminatory and predictive power;calibration curve and decision curve analysis also showed good model discriminative power and clinical utility value.(3)The constructed nomogram predictive model has good diagnostic efficacy and accuracy,and can effectively assess the risk of postoperative death of patients.

BACKGROUND:Arthroplasty is the primary treatment for displaced femoral neck fractures in the elderly,and the choice of total hip arthroplasty versus hemiarthroplasty is currently the subject of considerable debate. OBJECTIVE:To compare the mid-and long-term survival status of total hip arthroplasty versus hemiarthroplasty under a direct anterior approach for displaced femoral neck fractures in the elderly based on the propensity score matching method. METHODS:One hundred and forty-seven elderly patients(≥65 years of age)with displaced femoral neck fractures were admitted from January 2016 to January 2021,of whom 88 had total hip arthroplasty(total hip arthroplasty group)and 59 had artificial femoral head replacement(hemiarthroplasty group).For the patients'preoperative comorbidities,the age-corrected Charlson Comorbidity Scale was used to quantify the scores and calculate patient frailty.The propensity score matching method was used to match the two groups 1:1 and to compare the operation time,bleeding,postoperative hospitalization time,hospitalization cost,nutritional index,postoperative complications,and mortality between the two groups after matching.Postoperative survival time was determined by Kaplan-Meier Survival analysis. RESULTS AND CONCLUSION:(1)After propensity score matching,a total of 42 matched pairs were successful in both groups,and the preoperative data of patients in both groups were balanced and comparable after matching(P>0.05).(2)Compared with the hemiarthroplasty group,operation time(79.71 minutes vs.59.07 minutes,P<0.001),bleeding volume(839.64 mL vs.597.83 mL,P=0.001),and hospitalization cost(56 508.15 yuan vs.41 702.85 yuan,P<0.001)were significantly higher in the total hip arthroplasty group.However,the mortality rate was lower in the total hip arthroplasty group than in the hemiarthroplasty group(36%vs.57%,HR=0.44,95%CI:0.23-0.87,P=0.018),and the mean survival time was longer in the total hip arthroplasty group than in the hemiarthroplasty group(59.4 months vs.43.7 months,P=0.024).(3)There were no statistically significant differences in postoperative hospitalization time,preoperative and postoperative nutritional indicators,and overall postoperative complication rate between the two groups(P>0.05).However,in terms of postoperative pain,the incidence of pain was significantly higher in the hemiarthroplasty group than that in the total hip arthroplasty group(24%vs.7%,P=0.035).(4)Overall,total hip arthroplasty has a better prognosis for survival,while hemiarthroplasty is more appropriate for patients with poor physical fitness.At the same time,postoperative pain may largely affect the quality and survival time of patients after hip arthroplasty.

Objective:To investigate the influencing of preoperative total bilirubin (TBil) on perioperative complications of hepatolithiasis receiving liver resection.Methods:The retrospective cohort study was conducted. The clinical data of 300 patients with hepatolithiasis who were admitted to 2 medical centers from January 2010 to January 2022 were collected. There were 115 males and 185 females, aged (54±13)years. Measurement data with normal distribution were represented as Mean± SD, and the independent sample t test was used for comparison between groups. Measurement data with skewed distribution were represented as M( Q1, Q3), and the Mann-Whitney U test was used for comparison between groups. Count data were expressed as absolute numbers, and the chi-square test was used for comparison between groups. Variables with P<0.10 in the univariate analysis were included into the multivariate analysis. Univariate analysis was conducted using the Logistic regression model,and multivariate analysis was conducted using the Logistic stepwise regression model with backward Wald method. Continuous variables were converted into categorical variables based on commonly reported cutoff values when conducting Logistic regression analysis. Results:(1) Comparison of clinical data of patients with different preoperative TBil. Of 300 patients with hepatolithiasis, there were 252 cases with low level of preoperative TBil as 14.4(11.1,19.7)μmol/L, and there were 48 cases with high level of preoperative TBil as 44.0(31.3,59.8)μmol/L. Of the pati-ents with low level of preoperative TBil, neutrophils percentage was 62%±10%, cases with intra-operative blood transfusion was 29, and cases undergoing anatomical liver resection was 166. Of the patients with high level of preoperative TBil, neutrophils percentage was 70%±11%, cases with intraoperative blood transfusion was 22, and cases undergoing anatomical liver resection was 15. There were significant differences in cases classified as>grade 2 of ASA classification, neutrophils percentage, cases with intraoperative blood transfusion and cases undergoing anatomical liver resection between patients with low and high level of preoperative TBil ( t=5.182, χ2=33.669, 18.775, P<0.05). (2) Comparison of perioperative complications of patients with different preoperative TBil. Of the 252 patients with low level of TBil, there were 151 cases with complications including 35 cases of serious complications, there was 1 case with postoperative liver failure, the duration of postoperative hospital stay was 13.0(10.0,16.0)days. Of the 48 patients with high level of TBil, there were 32 cases with complications including 17 cases of serious complications, there were 6 cases with postoperative liver failure, the duration of postoperative hospital stay was 14.0(10.0,18.8)days. There were significant differences in cases with serious complications and cases with postoperative liver failure between patients with low and high level of preoperative TBil ( χ2=13.041, 20.879, P<0.05). (3) Analysis of factors influencing postoperative serious complications in patients undergoing liver resection. Results of multivariate analysis showed that age, body mass index (BMI), preoperative TBil and volume of intraoperative blood loss were independent factors influencing postoperative serious complications in patients undergoing liver resection for hepatolithiasis ( odds ratio=3.852, 2.358, 2.935, 5.135, 95% confidence interval as 1.478?9.979, 1.110?5.009, 1.398?6.158, 2.088?12.626, P<0.05). Conclusions:Patients with high level of preoperative TBil have a significantly increased risk of postoperative serious complications and liver failure who receive liver resection for hepatolithiasis. Age, preoperative BMI, TBil and volume of intraoperative blood loss are independent factors influencing postoperative serious complications in patients undergoing liver resection for hepatolithiasis.

Objective To investigate the effects of electrical stimulation combined with muscle strength training on knee joint biomechanical characteristics in patients with patellofemoral pain(PFP).Methods Forty-six patients with PFP were recruited and randomly assigned to the muscle strength training(MST)and electrical muscle stimulation with strength training(EMS)groups.The intervention was performed three times a week for six weeks.The anterior knee pain scale(AKPS)was used to measure the knee pain degree.Knee kinematics,dynamics,and surface electromyography(sEMG)data were collected using an infrared motion capture system,force platform,and sEMG system during drop jumps before and after the intervention.Two-way analysis of variance with repeated measures was applied to determine the differences between the dependent variables of the two groups before and after the intervention.Results Compared with pre-intervention,the AKPS score,vastus medialis oblique(VMO)activation,VMO/vastus lateralis(VMO/VL)activation,maximum knee flexion angle,and peak knee extension moment increased significantly in the EMS group;the maximum knee abduction,external rotation angle,and peak knee external rotation moment decreased significantly in the EMS group after intervention.Compared with pre-intervention,the AKPS score,maximum knee flexion angle,and peak knee extension moment increased significantly in the MST group after intervention,the peak knee abduction and external rotation moment significantly decreased in the MST group after intervention.Post-hoc comparisons indicated that compared with the MST group,the AKPS score,VMO activation,VMO/VL activation were significantly higher and the maximum knee abduction angle was significantly lower in the EMS group.Conclusions EMS contributes to the better balance muscle activation of the VMO and VL and corrects the excessive knee abduction angle during jump landing,which may be helpful in relieving pain and improving lower limb function in patients with PFP.

Mesenchymal stem cell (MSC)-based therapy has emerged as a promising treatment for spinal cord injury (SCI), but improving the neurogenic potential of MSCs remains a challenge. Mixed lineage leukemia 1 (MLL1), an H3K4me3 methyltransferases, plays a critical role in regulating lineage-specific gene expression and influences neurogenesis. In this study, we investigated the role and mechanism of MLL1 in the neurogenesis of stem cells from apical papilla (SCAPs). We examined the expression of neural markers, and the nerve repair and regeneration ability of SCAPs using dynamic changes in neuron-like cells, immunofluorescence staining, and a SCI model. We employed a coimmunoprecipitation (Co-IP) assay, real-time RT-PCR, microarray analysis, and chromatin immunoprecipitation (ChIP) assay to investigate the molecular mechanism. The results showed that MLL1 knock-down increased the expression of neural markers, including neurogenic differentiation factor (NeuroD), neural cell adhesion molecule (NCAM), tyrosine hydroxylase (TH), βIII-tubulin and Nestin, and promoted neuron-like cell formation in SCAPs. In vivo, a transplantation experiment showed that depletion of MLL 1 in SCAPs can restore motor function in a rat SCI model. MLL1 can combine with WD repeat domain 5 (WDR5) and WDR5 inhibit the expression of neural markers in SCAPs. MLL1 regulates Hairy and enhancer of split 1 (HES1) expression by directly binds to HES1 promoters via regulating H3K4me3 methylation by interacting with WDR5. Additionally, HES1 enhances the expression of neural markers in SCAPs. Our findings demonstrate that MLL1 inhibits the neurogenic potential of SCAPs by interacting with WDR5 and repressing HES1. These results provide a potential therapeutic target for promoting the recovery of motor function in SCI patients.
Animals ; Humans ; Rats ; Cell Differentiation ; Intracellular Signaling Peptides and Proteins/therapeutic use* ; Leukemia/metabolism* ; Mesenchymal Stem Cells ; Neurogenesis ; Stem Cells ; Transcription Factor HES-1/metabolism*