Metabolic dysfunction-associated steatotic liver disease(MASLD)is the most prevalent chronic liver disease globally,with only one Food and Drug Administration(FDA)-approved drug for its treatment.Given MASLD's complex pathophysiology,ther-apies that simultaneously target multiple pathways are highly desirable.One promising approach is dual-modulation of the famesoid X receptor(FXR),which regulates lipid and bile acid metabolism.However,FXR agonists alone are insufficient due to their limited anti-inflammatory effects.This study aimed to dto identify natural products capable of both FXR activation and inflammation inhibition to provide a comprehensive therapeutic approach for MASLD.Potential FXR ligands from the Natural Product Library were predicted via virtual screening using the Protein Preparation Wizard module in Schrodinger(2018)for molecular docking.Direct binding and regulation of candidate compounds on FXR were analyzed using surface plasmon resonance(SPR)binding assay,reporter gene ana-lysis,and reverse transcription-polymerase chain reaction(RT-PCR).The anti-inflammatory properties of these compounds were eval-uated in AML12 cells treated with tumor necrosis factor-alpha(TNF-α).Dual-function compounds with FXR agonism and inflamma-tion inhibition were further identified in cells transfected with Fxr siRNA and treated with TNF-α.The effects of these dual-function compounds on lipid accumulation and inflammation were evaluated in cells treated with palmitic acid.Results revealed that 17 natural products were predicted via computational molecular docking as potential FXR agonists,with 15 exhibiting a strong affinity for FXR recombinant protein.Nine isoflavone compounds significantly enhanced FXR reporter luciferase activity and the mRNA expressions of Shp and Ostb.Structure-activity relationship analysis indicated that introducing isopropyl or methoxy groups at the C7 position or a methoxy group at the C6 position could enhance the agonistic efficacy of isoflavones.Three compounds(2,6,and 8)were identified as dual-function natural products functioning as FXR agonists and inflammatory inhibitors,while one compound(12)acted as an FXR agonist to inhibit inflammation.These natural products protected hepatocytes against palmitic acid-induced lipid accumulation and in-flammation.In conclusion,compounds 2,6,and 8(genistein,biochanin A,and 7-methoxyisoflavone,respectively)were identified as dual-function bioactive products that transactivate FXR and inhibit inflammation,serving as potential candidates or lead compounds for MASLD therapy.

Objectives: . Our study aimed to explore the role of the potassium channel KCNK1 in head and neck squamous cell carcinoma, focusing on its impact on tumor growth, invasion, and metastasis. We also investigated the therapeutic potential of quinidine, a known KCNK1 inhibitor, in both in vitro cell lines and a zebrafish patient-derived xenograft (PDX) model. Methods: . We established primary cell cultures from head and neck cancer tissues and employed the FaDu cell line for in vitro studies, modulating KCNK1 expression through overexpression and knockdown techniques. We evaluated cell migration, invasion, and proliferation. Additionally, we developed a zebrafish PDX model to assess the impact of quinidine on tumor growth and metastasis in vivo. RNA sequencing and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to elucidate the molecular mechanisms underlying the role of KCNK1 in cancer progression. Results: . Overexpression of KCNK1 in FaDu cells resulted in enhanced cell migration and invasion, whereas its knockdown diminished these processes. In the zebrafish PDX model, quinidine markedly inhibited tumor growth and metastasis, demonstrating a significant reduction in tumor volume and micrometastasis rates compared to the control groups. The molecular analyses indicated that KCNK1 plays a role in critical signaling pathways associated with tumor growth, such as the Ras and MAPK pathways. Conclusion . Our findings highlight the critical role of KCNK1 in promoting tumor growth and metastasis in head and neck cancer. The inhibitory effect of quinidine on tumor progression in the zebrafish PDX model highlights the therapeutic potential of targeting KCNK1. These results suggest that KCNK1 could serve as a valuable therapeutic target for head and neck cancer, warranting further investigation into treatments that target KCNK1.

Objectives: . Our study aimed to explore the role of the potassium channel KCNK1 in head and neck squamous cell carcinoma, focusing on its impact on tumor growth, invasion, and metastasis. We also investigated the therapeutic potential of quinidine, a known KCNK1 inhibitor, in both in vitro cell lines and a zebrafish patient-derived xenograft (PDX) model. Methods: . We established primary cell cultures from head and neck cancer tissues and employed the FaDu cell line for in vitro studies, modulating KCNK1 expression through overexpression and knockdown techniques. We evaluated cell migration, invasion, and proliferation. Additionally, we developed a zebrafish PDX model to assess the impact of quinidine on tumor growth and metastasis in vivo. RNA sequencing and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to elucidate the molecular mechanisms underlying the role of KCNK1 in cancer progression. Results: . Overexpression of KCNK1 in FaDu cells resulted in enhanced cell migration and invasion, whereas its knockdown diminished these processes. In the zebrafish PDX model, quinidine markedly inhibited tumor growth and metastasis, demonstrating a significant reduction in tumor volume and micrometastasis rates compared to the control groups. The molecular analyses indicated that KCNK1 plays a role in critical signaling pathways associated with tumor growth, such as the Ras and MAPK pathways. Conclusion . Our findings highlight the critical role of KCNK1 in promoting tumor growth and metastasis in head and neck cancer. The inhibitory effect of quinidine on tumor progression in the zebrafish PDX model highlights the therapeutic potential of targeting KCNK1. These results suggest that KCNK1 could serve as a valuable therapeutic target for head and neck cancer, warranting further investigation into treatments that target KCNK1.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Objectives: . Our study aimed to explore the role of the potassium channel KCNK1 in head and neck squamous cell carcinoma, focusing on its impact on tumor growth, invasion, and metastasis. We also investigated the therapeutic potential of quinidine, a known KCNK1 inhibitor, in both in vitro cell lines and a zebrafish patient-derived xenograft (PDX) model. Methods: . We established primary cell cultures from head and neck cancer tissues and employed the FaDu cell line for in vitro studies, modulating KCNK1 expression through overexpression and knockdown techniques. We evaluated cell migration, invasion, and proliferation. Additionally, we developed a zebrafish PDX model to assess the impact of quinidine on tumor growth and metastasis in vivo. RNA sequencing and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to elucidate the molecular mechanisms underlying the role of KCNK1 in cancer progression. Results: . Overexpression of KCNK1 in FaDu cells resulted in enhanced cell migration and invasion, whereas its knockdown diminished these processes. In the zebrafish PDX model, quinidine markedly inhibited tumor growth and metastasis, demonstrating a significant reduction in tumor volume and micrometastasis rates compared to the control groups. The molecular analyses indicated that KCNK1 plays a role in critical signaling pathways associated with tumor growth, such as the Ras and MAPK pathways. Conclusion . Our findings highlight the critical role of KCNK1 in promoting tumor growth and metastasis in head and neck cancer. The inhibitory effect of quinidine on tumor progression in the zebrafish PDX model highlights the therapeutic potential of targeting KCNK1. These results suggest that KCNK1 could serve as a valuable therapeutic target for head and neck cancer, warranting further investigation into treatments that target KCNK1.

Purpose: Total neoadjuvant therapy (TNT) is becoming the standard of care for locally advanced rectal cancer. However, surgery is deferred for months after completion, which may lead to fibrosis and increased surgical difficulty. The aim of this study was to assess whether TNT (TNT-RAPIDO) is associated with increased difficulty of total mesorectal excision (TME) compared with long-course chemoradiotherapy (LCRT) and upfront surgery. Methods: Twelve laparoscopic videos of low anterior resection with TME for rectal cancer were prospectively collected from January 2020 to October 2021, with 4 videos in each arm. Seven colorectal surgeons assessed the videos independently, graded the difficulty of TME using a visual analog scale and attempted to identify which category the videos belonged to. Results: The median age was 67 years, and 10 patients were male. The median interval to surgery from radiotherapy was 13 weeks in the LCRT group and 24 weeks in the TNT-RAPIDO group. There was no significant difference in the visual analog scale for difficulty in TME between the 3 groups (LCRT, 3.2; TNT-RAPIDO, 4.6; upfront, 4.1; P=0.12). A subgroup analysis showed similar difficulty between groups (LCRT 3.2 vs. TNT-RAPIDO 4.6, P=0.05; TNT-RAPIDO 4.6 vs. upfront 4.1, P=0.54). During video assessments, surgeons correctly identified the prior treatment modality in 42% of the cases. TNT-RAPIDO videos had the highest recognition rate (71%), significantly outperforming both LCRT (29%) and upfront surgery (25%, P=0.01). Conclusion TNT does not appear to increase the surgical difficulty of TME.

Objective: To analyze the clinical characteristics and risk factors of malignant vasovagal syncope (VVS) in children. Methods: This was a case-control study. The data of 368 VVS patients who were treated in the Department of Cardiology, Children's Hospital, Capital Institute of Pediatrics from June 2017 to December 2021 was collected and analyzed. They were divided into malignant VVS group and non-malignant VVS group according to the presence of sinus arrest, and then their demographic characteristics were compared. The children with malignant VVS and complete clinical information were recruited into the case group and were matched by age and sex (1∶4 ratio) with non-malignant VVS patients during the same period.Their clinical characteristics and lab tests were compared. Independent sample t test, Mann Whitney U or χ² test was used for comparison between groups.Logistic regression was used to analyze the risk factors for malignant VVS in children. Results: Eleven malignant VVS and 342 non-malignant VVS met the inclusion and exclusion critera. Eleven malignant VVS and 44 non-malignant children were recruited in the case-control study. Ten patients of the 11 malignant VVS had a cardiac arrest occurring at 35 (28, 35) minutes of the head-up tilt test, and the duration of sinus arrest was (9±5) s. One patient had syncope occurring while waiting for drawing blood, and the duration of sinus arrest was 3.4 s. The children with malignant vasovagal syncope were younger than non-malignant VVS patients (9 (7, 10) vs. 12 (10, 14) years old, P<0.05), and had higher mean corpuscular hemoglobin concentration (MCHC) and standard deviation of the mean cardiac cycle over 5-minute period within 24 hours ((347±9) vs. (340±8) g/L, (124±9) vs. (113±28) ms, both P<0.05). Logistic regression analysis showed that MCHC was an independent risk factor for malignant VVS in pediatric patients (OR=1.13, 95%CI 1.02-1.26, P=0.024). Conclusions: The onset age of malignant VVS was younger, with no other special clinical manifestations. MCHC was an independent risk factor for malignant VVS.
Humans ; Child ; Adolescent ; Syncope, Vasovagal/etiology* ; Case-Control Studies ; Syncope ; Risk Factors

Objective:To investigate the efficacy of 3D-printed quantitative bone implants assisting second-stage Masquelet technique for the treatment of long-segment bone defect following Gustilo type IIIB and IIIC tibial fractures.Methods:A retrospective case series analysis was made on 26 patients with long-segment bone defect following Gustilo type IIIB and IIIC tibial fractures treated in Wuxi Ninth People′s Hospital from July 2015 to December 2020, including 20 males and 6 females; aged 19-63 years [(46.5±4.5)years]. Gustilo classification was type IIIB in 23 patients and type IIIC in 3. In the first stage, all patients had thoroughly emergent debridement, removal of all free bone pieces, restoration of the length and force line plus externally fixion, and vacuum sealing drainage (VSD) of the residual wound. After 2-7 days, the external fixation was removed and replaced by internal fixation, with the bone cement filling in the defect area and the free flap covering the wound. The length of tibial bone defect was 5-14 cm [(6.3±0.4)cm], and the tibial defect volume was 12.2-73.1 cm 3 [(33.6±9.2)cm 3]. In the second stage (6-19 weeks after injury), the bone cement was removed, followed by autologous bone grafting. Prior to bone grafting, digital technology was used to accurately calculate the bone defect volume, and an equal volume of bone harvesting area was designe to produce the 3D printed osteotomy template. Bone grafting was conducted after bone removal according to the osteotomy template during operation. The success rate of one-time iliac bone extraction, bone harvesting time, and bleeding volume were recorded. Pain in the bone extraction area was evaluated by visual analogue score (VAS) at 1 day and 1 month after operation and at the last follow-up. Wound healing, complications, and bone healing were observed. Life quality was evaluated by health survey brief form (SF-36) including scores of physical component summary (PCS) and mental component summary (MCS) before bone grafting and at the last follow-up. Results:All the patients were followed up for 13-53 months [(32.3±12.5)months]. One-time iliac bone extraction was successful in all the patients. Bone harvesting time was 15-30 minutes [(21.0±2.5)minutes]. The bleeding volume was 50-120 ml [(62.3±29.0)ml]. The VAS was 1-4 points [(1.2±0.9)points] at 1 day after operation, higher than these (0.0±0.0)points at 1 month after operation and at the last follow-up (all P<0.01). Totally, 25 patients obtained wound healing after operation, except for 1 patient with superficial wound infection after bone grafting that was healed by dressing change. There was 1 patient with bone infection after 3 months of bone grafting that was healed by repeated surgery with Masquelet technique in the first and second stage. Besides, 2 patients had symptoms of cutaneous nerve injury in the iliac donor area. The time of bone healing was 4-7 months [(5.8±0.8)months]. The scores of PCS and MCS in SF-36 at the last follow-up were (73.6±12.8)points and (83.6±13.2)points, significantly higher than those before bone grafting [(46.8±0.5)points, (60.7±2.0)points] (all P<0.01). Conclusion:Second-stage Masquelet technique with 3D printed quantitative bone implants for the treatment of long-segment bone defect following Gustilo type IIIB and IIIC tibial fractures is associated with shortened bone harvesting time, attenuated pain, reduced complications, accelerated bone healing and improved function.

Objective To explore the short-term efficacy of digitally-assisted traditional Chinese medicine manual reduction combined with 3D printed splint in the treatment of AO type-A distal radius fractures, and explore the quantification of traditional Chinese medicine manual reduction and personalized improvement of splinting. Methods The clinical data of 50 patients with AO type-A distal radius fractures, who received treatment at the outpatient department of Cangzhou Integrated Traditional Chinese and Western Medicine Hospital in Hebei Province, were retrospective analyzed. The patient cohort included 22 females and 28 males, with ages ranging from 25 to 75 years old. Among them, 27 cases presented with distal radius fractures on the left side, and 24 cases on the right side. The patients were categorized into two groups: treatment group (n=25) and control group(n=25). There were 13 males and 12 females in the treatment group, with an average age of (56.2±5.5) years old. Treatment approach for this group involved several steps. Initially, Mimics Research software was used to conduct comprehensive analysis of complete CT data from the affected limb, resulting in the creation of a three-dimensional model. Subsequently, 3D models of the bones and skin contours, stored as STL format files, were imported into the Materialise Magics 23.0 software for model processing and repair. This facilitated the simulation of reduction and recording of displacement data, effectively generating a "digital prescription" to guide and quantify traditional Chinese medicine manipulation procedures. Finally, a personalized 3D printed splint was applied for fixation treatment. There were 15 males and 10 females in the control group, with an average age of (53.32±5.28) years old. These patients were treated with manualreduction combined with traditional splinting. The clinical efficacy of the two groups was assessed in terms of fracture reduction quality, fracture healing time, Gartland-Werley wrist joint score and X-ray parameters (palminclination angle, ulnar deviation angle, radius height) at 6 weeks post-operatively. Results The treatment group exhibited a shorter duration for achieving clinical healing compared to the control group (P<0.05). Six weeks post-operatively, the treatment group demonstrated higher wrist joint function scores, and a higher proportion of excellent and good outcomes than the control group(P<0.05). The treatment group was superior to the control group in terms of imaging parameters 6 weeks post-operatively (P<0.05). Conclusion By quantifying skin contours through digital simulation prescription reduction, a personalized 3D printed splint is developed to effectively stabilize fractures, enhancing localized fixation while ensuring greater adherence, stability, and comfort. This innovative approach offers personalized treatment for AO type-A distal radius fractures and presents a novel, precise treatment strategy for consideration.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; East Asian People ; Printing, Three-Dimensional ; Retrospective Studies ; Splints ; Wrist Fractures/therapy* ; Medicine, Chinese Traditional/methods* ; Therapy, Computer-Assisted/methods* ; Manipulation, Orthopedic/methods* ; Tomography, X-Ray Computed ; Precision Medicine/methods*

Abstract: Objective　To investigate the molecular characteristics and drug resistance of non-O1/non-O139 Vibrio cholerae in Zhongshan City, and to provide laboratory basis for cholera prevention and control. Methods　The strains of non-O1/non-O139 Vibrio cholerae isolated from sporadic patients and aquatic products from 2015 to 2021 in Zhongshan city were collected. The identification and cluster analysis of the strains were analyzed by matrix assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS), the ctxA virulence gene of strains were detected by real-time fluorescence quantitative PCR, the cluster analysis of the strains was analyzed by pulsed-field gel electrophoresis (PFGE), and the drug resistance of the strains were analyzed by microbroth dilution method. Results　From 2015 to 2021, 33 strains of non-O1/non-O139 Vibrio cholerae were isolated from Zhongshan City, including 28 strains from sporadic patients and 5 strains from aquatic products. Through MALDI-TOF-MS identification, 33 strains of non-O1/non-O139 Vibrio cholera can be identified to the level of species, and the identification results were all Vibrio cholerae. Among 33 non-O1/non-O139 Vibrio cholerae strains, 1 strain carried the ctxA virulence gene. The drug-resistant strains accounted for 69.7% (23/33), and the multidrug resistant strains accounted for 18.2% (6/33). A total of 7 kinds of drug resistance spectrum were produced, including 3 kinds of multidrug resistant spectrum, and showed drug resistance to 8 antibiotics, among which the resistance rates to streptomycin, cefazolin and compound sulfamethoxazole were above 30%. The 33 strains of non-O1/non-O139 Vibrio cholerae were divided into 32 PFGE fingerprints with a similarity ranging from 61.7% to 100%. MALDI-TOF-MS cluster analysis divided 33 non-O1/non-O139 Vibrio cholerae strains into two clusters. Conclusions The results of molecular typing of non-O1/non-O139 Vibrio cholerae in Zhongshan City presented diversity, and no significant correlation was found between PFGE and MALDI-TOF-MS cluster analysis. The strains demonstrated various degrees of resistance to certain antibiotics, and there were multidrug-resistant and toxigenic strains. Therefore, it is necessary to alert to the harmfulness of non-O1/non-O139 Vibrio cholerae and enhance monitoring.