Objective To explore the genetic mutation characteristics, clinical manifestations, and treatment outcomes of catecholaminergic polymorphic ventricular tachycardia (CPVT), and to construct a quantitative scoring system for the severity of CPVT. The correlation between the mutations in different structural domains of the RyR2 gene and clinical manifestations and prognosis was analyzed. Methods By searching the PubMed and Web of Science databases for CPVT-related case reports published up to December 2024, data such as patient age, clinical manifestations, gene mutation sites, and treatment responses were collected. The quality of the literature was assessed using the CARE guidelines. The χ2 test was used to compare the severity and treatment response differences among different RyR2 structural domain mutation groups, and an innovative quantitative scoring system based on symptoms and efficacy was established. Results A total of 80 articles were included, with 102 patients in total. The quality of the literature was reliable. The age of the patients ranged from 1 to 84 years, with a higher proportion of children under 10 years old (25.5%). Female patients (54.9%) outnumbered males (45.1%). For CPVT patients, a quantitative scoring system was developed, with a total score of 2 to 10 points. Among them, 2 to 4 points were classified as mild, 5 to 7 points as moderate, and 8 to 10 points as severe. The results showed that severe patients often had a history of cardiac arrest and were resistant to treatment. Out of the 102 CPVT patients, RyR2 gene mutations accounted for 53.9% (55/102) of patients. Among them, the proportion of severe patients with N-terminal structural domain mutations was significantly higher than other regions, indicating that the RyR2 gene mutation structural domain has a significant impact on the severity of CPVT (χ2=17.530, P=0.008). The proportion of patients with mutations in the central hinge region who were ineffective with β-blockers reached 42.9% (3/7), which was significantly higher than other regions. Left cardiac sympathectomy was performed in 24 cases, and postoperative symptoms were almost completely controlled, significantly better than the drug treatment group.Conclusion Mutations in the N-terminal structural domain of the RyR2 gene are significantly correlated with the severity of CPVT. Left cardiac sympathectomy has gradually become an effective intervention for refractory cases. The scoring system proposed in this study can provide a basis for clinical stratified treatment. In the future, there is a need to expand the sample size to verify mutation-specific treatment strategies.

ObjectiveTaking the cuproptosis/oxidative stress pathway as the entry point， this study investigated the effect and mechanism of Liangyi Paste on hepatic lipid deposition in naturally aged mice fed with a high-fat diet. MethodsAfter adaptive feeding， 80 ten-week-old male C57BL/6 mice were used. Thirty of them were randomly divided into three groups （10 mice per group）： The 12-month-old control group （12MCON）， the 15-month-old control group （15MCON）， and the 15-month-old group with a high-fat diet （15MHFD）. The 12MCON and 15MCON groups were continuously fed a standard diet， while the 15MHFD group started receiving a high-fat diet at 12 months of age. Tissue samples were collected at the corresponding time points for each group. The remaining 50 mice were randomly divided into five groups （10 mice per group）： the 20-month-old control group （20MCON）， the model group， and the low-， medium-， and high-dose Liangyi Paste groups （2.91 ， 5.82 ， 11.64 g·kg^-1·d^-1， respectively）. The 20MCON group was continuously fed a standard diet， while the other groups started receiving a high-fat diet at 15 months of age. At 18 months of age， the Liangyi Paste groups were administered the corresponding doses of Liangyi Paste by gavage， while the 20MCON and model groups were given an equal volume of saline by gavage. After 8 weeks of continuous gavage （when the mice reached 20 months of age）， tissue samples were collected. Hepatic TG levels were measured using assay kits； liver histology and lipid deposition were observed via hematoxylin-eosin （HE） and oil red O staining； reactive oxygen species （ROS） were detected by enzyme-linked immunosorbent assay （ELISA）； Cu²⁺， superoxide dismutase （SOD）， and malondialdehyde （MDA） levels were measured by colorimetry； mRNA and protein expression of genes related to cuproptosis and oxidative stress pathways were analyzed by Real-time polymerase chain reaction（Real-time PCR） and Wes automated protein expression system. ResultsCompared with 12MCON， the 15MCON group showed significantly increased hepatic TG， Cu²⁺， ROS， and MDA levels （P<0.01）， decreased SOD （P<0.01）， hepatocyte swelling， and disordered arrangement. The mRNA and protein levels of ferredoxin 1 （FDX1）， dihydrolipoamide S-acetyltransferase （DLAT）， heat shock protein 70 （HSP70）， dihydrolipoamide dehydrogenase （DLD）， pyruvate dehydrogenase E1 subunit-β （PDHB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and peroxisome proliferator-activated receptor γ （PPARγ） were significantly elevated （P<0.05， P<0.01）. Compared with 15MCON group， the 15MHFD and 20MCON groups exhibited further increases in TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， and aggravated hepatocyte swelling and disorder. There were increased lipid droplets with mild vacuolization in the 15MHFD group， and no significant lipid deposition was observed in the 20MCON group. FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and protein levels were significantly increased （P<0.05， P<0.01）. Compared with 20MCON group， the model group demonstrated markedly elevated TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， severe hepatic steatosis， and upregulated expression of FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and proteins （P<0.05， P<0.01）. All abnormalities were significantly reversed after Liangyi Paste treatment. ConclusionLiangyi paste can ameliorate hepatic lipid deposition in naturally aged mice with a high-fat diet by modulating the cuproptosis/oxidative stress pathway.

Objective To explore the factors affecting the quality of psychological assistance hotline connections in Shaanxi Province, and to provide a basis for optimizing services. Methods A total of 149 calls with suicidal tendencies were included from January to March 2022, and data were collected by 31 trained assessors through standardized questionnaires (general information, suicide risk, emotional intensity, and wiring characteristics). Results The results showed that 56.38% of the callers were female, with age groups concentrated between ≤ 18 years old (29.53%) and 19-34 years old (43.62%). The call duration was mainly between 31 and 45 minutes (50.34%). Operators conducted a suicide risk assessment on the callers, with 38.9% having a comprehensive assessment, 38.9% having an incomplete assessment, and 22.1% having no assessment. The main mental disorders of the callers were depression (48.32%), anxiety (15.44%), and bipolar disorder (14.77%), with 25.50% having comorbidities of ≥ 2 disorders. Emotional scores were as follows: depression (4.11 ± 0.76), sadness (3.97 ± 1.03), and despair (3.78 ± 1.05). There were significant differences in depression, anger, despair, and sadness among the callers with different levels of danger (t=4.79, 3.35, 15.79, 4.24, all P<0.05). Women had higher levels of fear than men (t=3.10, P<0.01). The longer the call duration, the higher the level of despair (t=5.66, P<0.01). Multiple regression analysis showed that incomplete suicide risk assessment by operators (B=-2.36), general procedures for operators' connections (B=5.44), and technical factors (B=2.01) significantly affected the quality of psychological assistance hotlines (all P<0.05). Conclusion Callers with suicidal tendencies generally have serious mental and psychological problems and prominent negative emotions. Strengthening the suicide risk assessment ability of operators and standardizing processes and service attitudes are key to improving the quality of psychological assistance hotlines.

Lactic acid (LA) accumulation in tumor microenvironments (TME) has been implicated in immune suppression and tumor progress. Diverse roles of LA have been elucidated, including microenvironmental pH regulation, signal transduction, post-translational modification, and metabolic remodeling. This review summarizes LA functions within TME, focusing on the effects on tumor cells, immune cells, and stromal cells. Reducing LA levels is a potential strategy to attack cancer, which inevitably affects the physiological functions of normal tissues. Alternatively, transporting LA into the mitochondria as an energy source for immune cells is intriguing. We underscore the significance of LA in both tumor biology and immunology, proposing the burning of LA as a potential therapeutic approach to enhance antitumor immune responses.
Humans ; Tumor Microenvironment/immunology* ; Neoplasms/therapy* ; Lactic Acid/immunology* ; Mitochondria/metabolism* ; Animals ; Signal Transduction

ObjectiveTo investigate the role of mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in the ferroptosis phenotype of ovarian cancer （OC） cells and the regulatory mechanism of gypenoside L （Gyp-L） on mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in OC cells. MethodsThe proliferation of human ovarian adenocarcinoma OVCAR3 cells was detected by cell counting kit-8 （CCK-8） assay， and the half-maximal inhibitory concentration （IC₅₀） values of cisplatin （DDP）， Gyp-L， and DDP in the presence of Gyp-L were calculated to determine the intervention concentration for subsequent experiments. Cell cloning assay and scratch assay reflected the proliferation and migration ability of OVCAR3 cells. PANDORA-seq small RNA sequencing was used to detect the differentially expressed transfer RNA-derived small RNAs （tsRNAs） in the cells after Gyp-L intervention， and the corresponding target genes of the tsRNAs were found by the RNAhybrid software. Malondialdehyde （MDA）， glutathione （GSH）， and lipid peroxide （LPO） levels were measured by colorimetry or enzyme linked immunosorbent assay （ELISA） method， Fe²⁺ content by FerroOrange fluorescent probe， and reactive oxygen species （ROS） content by DCFH-DA fluorescent probe to reflect the occurrence of ferroptosis in OVCAR3 cells. OVCAR3 cells were divided into a control group， a 50 µmol·L^-1 Gyp-L group， and a 100 µmol·L^-1 Gyp-L group. Quantitative real-time polymerase chain reaction （PCR） was performed to detect the expression of mature-tRNA-Asp-GTC， mature-tRNA-Leu-CAA， mature-mt_tRNA-Tyr-GTA_5_end， mature-tRNA-Val-CAC， mature-mt_tRNA-Glu-TTC， pre-tRNA-Arg-TCT， mature-tRNA-Asn-GTT， hydroxymethylbilane synthase （HMBS）， Wnt， β-catenin， glutathione peroxidase 4 （GPX4）， Kelch-like ECH-associated protein 1 （KEAP1）， nuclear factor erythroid 2-related factor 2 （Nrf2）， activating transcription factor 3 （ATF3）， cystine/glutamate antiporter xCT， lysophosphatidylcholine acyltransferase 3 （LPCAT3）， and arachidonate 15-lipoxygenase （ALOX15）. Western blot was performed to detect the expression of HMBS， Wnt， β-catenin， GPX4， KEAP1， Nrf2， ATF3， xCT， LPCAT3， and ALOX15 proteins. ResultsThe 50 µmol·L^-1 Gyp-L， 100 µmol·L^-1 Gyp-L， DDP， 50 µmol·L^-1 Gyp-L+DDP， and 100 µmol·L^-1 Gyp-L+DDP groups showed significantly inhibited proliferation and migration of OVCAR3 cells （P<0.05） and exacerbated cell ferroptosis as reflected by the increase in the content of ROS， MDA， LPO， and Fe²⁺， as well as a decrease in the content of GSH （P<0.05）. Compared with the control group， Gyp-L effectively interfered with the expression of 25 tsRNAs in OVCAR3 cells （P<0.05， |log₂Fc|>1）. Pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/NRF2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/NRF2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 axial expression was significantly aberrant after Gyp-L intervention （P<0.05）. ConclusionThe pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/Nrf2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling pathways are involved in OC development. Gyp-L inhibits OC development by activating OVCAR3 cell ferroptosis onset mainly through the mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling axes.

ObjectiveTo investigate the role of mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in the ferroptosis phenotype of ovarian cancer （OC） cells and the regulatory mechanism of gypenoside L （Gyp-L） on mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in OC cells. MethodsThe proliferation of human ovarian adenocarcinoma OVCAR3 cells was detected by cell counting kit-8 （CCK-8） assay， and the half-maximal inhibitory concentration （IC₅₀） values of cisplatin （DDP）， Gyp-L， and DDP in the presence of Gyp-L were calculated to determine the intervention concentration for subsequent experiments. Cell cloning assay and scratch assay reflected the proliferation and migration ability of OVCAR3 cells. PANDORA-seq small RNA sequencing was used to detect the differentially expressed transfer RNA-derived small RNAs （tsRNAs） in the cells after Gyp-L intervention， and the corresponding target genes of the tsRNAs were found by the RNAhybrid software. Malondialdehyde （MDA）， glutathione （GSH）， and lipid peroxide （LPO） levels were measured by colorimetry or enzyme linked immunosorbent assay （ELISA） method， Fe²⁺ content by FerroOrange fluorescent probe， and reactive oxygen species （ROS） content by DCFH-DA fluorescent probe to reflect the occurrence of ferroptosis in OVCAR3 cells. OVCAR3 cells were divided into a control group， a 50 µmol·L^-1 Gyp-L group， and a 100 µmol·L^-1 Gyp-L group. Quantitative real-time polymerase chain reaction （PCR） was performed to detect the expression of mature-tRNA-Asp-GTC， mature-tRNA-Leu-CAA， mature-mt_tRNA-Tyr-GTA_5_end， mature-tRNA-Val-CAC， mature-mt_tRNA-Glu-TTC， pre-tRNA-Arg-TCT， mature-tRNA-Asn-GTT， hydroxymethylbilane synthase （HMBS）， Wnt， β-catenin， glutathione peroxidase 4 （GPX4）， Kelch-like ECH-associated protein 1 （KEAP1）， nuclear factor erythroid 2-related factor 2 （Nrf2）， activating transcription factor 3 （ATF3）， cystine/glutamate antiporter xCT， lysophosphatidylcholine acyltransferase 3 （LPCAT3）， and arachidonate 15-lipoxygenase （ALOX15）. Western blot was performed to detect the expression of HMBS， Wnt， β-catenin， GPX4， KEAP1， Nrf2， ATF3， xCT， LPCAT3， and ALOX15 proteins. ResultsThe 50 µmol·L^-1 Gyp-L， 100 µmol·L^-1 Gyp-L， DDP， 50 µmol·L^-1 Gyp-L+DDP， and 100 µmol·L^-1 Gyp-L+DDP groups showed significantly inhibited proliferation and migration of OVCAR3 cells （P<0.05） and exacerbated cell ferroptosis as reflected by the increase in the content of ROS， MDA， LPO， and Fe²⁺， as well as a decrease in the content of GSH （P<0.05）. Compared with the control group， Gyp-L effectively interfered with the expression of 25 tsRNAs in OVCAR3 cells （P<0.05， |log₂Fc|>1）. Pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/NRF2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/NRF2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 axial expression was significantly aberrant after Gyp-L intervention （P<0.05）. ConclusionThe pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/Nrf2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling pathways are involved in OC development. Gyp-L inhibits OC development by activating OVCAR3 cell ferroptosis onset mainly through the mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling axes.

OBJECTIVE To analyze and identify the metabolites of pirtobrutinib （PTN） in rats， and clarify the possible metabolic pathways of PTN in rats. METHODS Six rats were intragastrically administered with 10 mg/kg PTN suspension. Blood samples were collected from the rats 30 minutes before administration and at 0.25， 0.5， 1， 2， 4， 6， 8， 12， 24 hours after administration. Urine and feces samples were collected 12 hours before administration and 24 hours after administration. UHPLC- Orbitrap Exploris 240 system combined with Compound Discoverer 3.0 and Xcalibur 2.0 software were adopted for structural identification and metabolic pathway analysis of PTN metabolites in rat plasma， urine， and feces. RESULTS A total of 29 PTN metabolites were identified， including 17， 19 and 22 metabolites in plasma， urine and feces， respectively. The metabolic pathways of PTN mainly included oxidation， sulfation， glucuronidation， etc.， and its metabolites were mostly combination products of two or more different metabolic forms. In detail， a total of 26 metabolites were associated with phase Ⅰ metabolic reactions （14 oxidation metabolites， 9 reduction/dehydrogenation metabolites， 8 demethylation metabolites， and 5 hydrolysis metabolites）. Meanwhile， a total of 20 products were involved in phase Ⅱ metabolites （14 sulfation metabolites and 8 glucuronic acid binding metabolites）. CONCLUSIONS PTN exhibits a diverse range of metabolites in rat fecal samples， with the primary metabolic pathways being oxidation， sulfation， glucuronidation， and others.

Objective To establish and validate a machine learning model integrating abdominal contrast-enhanced CT radiomics features and clinical characteristics,and to construct a predictive model for the efficacy of anticoagulant treatment in portal vein thrombosis(PVT).Methods A retrospective selection was conducted on 94 PVT patients who received anticoagulant treatment.Patients were divided into effective and ineffective treatment groups based on the follow-up results.Clinical information was collected,and imaging features were evaluated.Univariate and multivariate logistic regression were performed to select clinical information and imaging fea-tures for constructing a clinical-imaging model.On CT venous phase images,the PVT mask was delineated and radiomics features were extracted,and the radiomics model was screened and established.A combined model was further developed using features from both the clinical-imaging and radiomics models.Receiver operating characteristic(ROC)curves were used to evaluate the predictive efficacy of different models.Results The area under the curve(AUC)for the clinical-imaging model,radiomics model,and com-bined model were 0.594,0.794,and 0.776,respectively.The radiomics and combined models demonstrated superior predictive efficacy for anticoagulant treatment in PVT compared to the clinical-imaging model.No significant difference in performance was observed between radiomics and combined models.Conclusion The radiomics model and combined model based on abdominal contrast-enhanced CT can effectively predict the efficacy of anticoagulant treatment for PVT.

Objective:To evaluate the accuracy of airborne pollen concentrations monitored by a novel volumetric suction pollen monitor.Methods:During the peak period of autumn pollen concentration in Beijing from September 1st to 27th, the pollen concentration was collected using gravitational and volumetric pollen monitor, and the correlation of pollen concentration between two kind of pollen monitor was analyzed. The effects of daily mean temperature, relative humidity and wind speed on the real-time pollen concentration of the volumetric suction pollen monitor were also analyzed. SPSS 25.0 software was used for statistical analysis.Results:There was significant correlation between the pollen concentration obtained by the two collectors ( r s value was 0.85 and 0.86, respectively, both P<0.001). Using a volumetric suction monitor, the pollen concentration in the horizontal 3 lines of the pollen sample (12.5%) under a 200×microscope was significantly correlated with the pollen concentration in the whole sample ( r s=0.97, P<0.001). The real-time pollen concentration collected by the volumetric suction monitor within 24 hours was greatly affected by the daily average temperature (all P<0.05), and the pollen concentration increased with the daytime temperature, which was not affected by the relative humidity and the average wind speed (all P>0.05). Conclusion:The airborne pollen concentration monitored by new volumetric pollen monitor has high accuracy and can accurately achieve real-time.

Objective:Using Mendelian randomization analysis to investigate the unidirectional causal effects of gut microbiota on gout and serum uric acid levels.Methods:The Mendelian randomization analysis was conducted using summary statistics from genome-wide association studies (GWAS). The gut microbiota was used as the exposure factor, with gout and serum uric acid levels as the outcomes, utilizing the MiBioGen Consortium, FinnGen GWAS, and CKDGen Consortium meta-analysis databases. The analysis was performed using inverse variance weighted (IVW) method, MR-Egger, and weighted median (WM) approach. Additionally, sensitivity analysis was conducted by excluding heterogeneity and horizontal pleiotropy. This study used RStudio 4.3.1 software for analysis.Results:The IVW results confirmed that 17 microbiota taxa were associated with gout, including class Verrucomicrobiaceae [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], family Verrucomicrobiaceae [ OR(95% CI)=1.161(1.004, 1.344), P=0.044], genus Akkermansia [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], genus Collinsella [ OR(95% CI)=1.257(1.043, 1.516), P=0.016], genus Eubacterium hallii group [ OR(95% CI)=1.226(1.022, 1.471), P=0.027], genus Howardella [ OR(95% CI)=1.094(1.001, 1.195), P=0.046], genus Ruminococcaceae UCG010 [ OR(95% CI)=1.317(1.089, 1.593), P=0.004], order Clostridiales [ OR(95% CI)=1.182(1.007,1.387), P=0.041], order Verrucomicrobiales [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], class Melainabacteria [ OR(95% CI)=0.894(0.804, 0.994), P=0.038], family Streptococcaceae [ OR(95% CI)=0.851(0.727, 0.996), P=0.044], unknown family [ OR(95% CI)=0.890(0.800, 0.989), P=0.030], genus Streptococcus [ OR(95% CI)=0.836(0.710, 0.983), P=0.030], unknown genus [ OR(95% CI)=0.890(0.800, 0.989), P=0.030], genus Victivallis [ OR(95% CI)=0.857(0.736, 0.998), P=0.046], order Gastranaerophilales [ OR(95% CI)=0.890(0.800,0.989), P=0.030], and phylum Bacteroidetes [ OR(95% CI)=0.827(0.692, 0.989), P=0.037]. Additionally, 5 microbiota taxa were associated with serum uric acid levels: phylum Actinobacteria [ OR(95% CI)=0.963(0.925, 0.992), P=0.027], family ⅩⅢ [ OR(95% CI)=0.965(0.932, 1.008), P=0.035], genus Escherichia Shigella [ OR(95% CI)=1.047(1.005,1.089), P=0.034], genus Lachnospiraceae FCS020 group [ OR(95% CI)=0.974(0.941, 1.003), P=0.028], and genus Lachnospiraceae NC2004 group [ OR(95% CI)=0.966(0.943, 0.995), P=0.018]. No abnormalities in SNPs were found in the sensitivity analysis. Conclusion:An increase in the levels of class Verrucomicrobiae, family Verrucomicrobiaceae, genus Akkermansia, and genus Escherichia Shigella is associated with an increased risk of gout or serum uric acid levels, while an increase in the levels of class Melainabacteria, family Streptococcaceae, unknown family, phylum Actinobacteria, and family ⅩⅢ is associated with a decreased risk of gout or serum uric acid levels.