Objective To quantitatively assess the exposure-response association between exposure to heatwave and sudden death, estimate the attributable excess deaths, and identify potential vulnerable subgroups. Methods A time-stratified case-crossover study was conducted among residents who died from sudden death in Jiangsu Province, China between 2015 and 2021. Heatwave events in Jiangsu Province, defined using varying relative temperature thresholds and durations, were identified using temperature data from the China Meteorological Administration Land Data Assimilation System (CLDAS V2.0). Individual heatwave exposure was assessed based on each subject's residential address. The exposure-response association between heatwave and sudden death was evaluated using conditional logistic regression model combined with a Distributed Lag Nonlinear Model(DLNM). Heatwave-attributable excess deaths were estimated. Stratified analyses by sex and age were performed to assess potential effect modifications. Results Under all definitions, exposure to heatwave was significantly associated with an increased risk of sudden death, and the risk increased with the intensity of heatwave. Using the P95_3d definition (temperature exceeding the 95th percentile for ≥3 consecutive days), heatwave was significantlyassociated with a 56% increased risk of sudden death (95% CI: 31%, 86%). The population-attributable fraction of sudden death due to heatwave exposure was 1.45% (95% CI: 0.97%, 1.90%). Stratified analyses indicated no statistically significant differences in the association between heatwave exposure and sudden death across age or sex subgroups. Conclusion Heatwave exposure was associated with an increased risk of sudden death. Reducing heatwave exposure during summer may help lower the occurrence of sudden death.

ObjectiveGastrodia elata has evolved ecological types with shortened rhizome internodes and diversified flower and fruit coloration in response to different altitudes. Studying the genetic mechanisms of different ecotype germplasm is significant for guiding variety breeding in different cultivation areas. MethodsThe bHLH gene family was identified based on the whole-genome datasets of G. elata f. elata and G. elata f. glauca. Subsequently， the gene family members were subject to analysis， including gene structure， chromosomal localization， cis-acting elements， gene synteny， and phylogeny. Combined with transcriptome data and quantitative Real-time PCR， the expression patterns of bHLH genes in the stems of the different G. elata ecotype germplasm were analyzed. Finally， correlation analysis was conducted between gene expression patterns and color to obtain the key bHLH genes regulating the color formation of stem. ResultsA total of 63 bHLH genes were identified in both G elata f. elata and G. elata f. glauca， unevenly distributed across 17 chromosomes and clustered into 16 subfamilies， with significant expansion in some family members. Obvious inversions of bHLH genes on the same chromosome and interchromosomal translocations were detected in the two ecotype germplasm. Among these genes， 12 bHLH genes （such as bHLH62-3 and bHLH74） were associated with the bright yellow color of G elata f. elata stem， while 9 bHLH genes （such as PIL13， UNE12， and bHLH130） were correlated with the red color of G. elata f. glauca stem. Compared to G. elata f. glauca， the bHLH48 expression level was significantly higher in flowers and scale leaves of G elata f. elata， and the bHLH62-3 expression level was significantly higher in all organs of G elata f. elata. ConclusionsFunctional pathway divergence of the bHLH family members has occurred across different chromosomes in G elata f. elata and G. elata f. glauca. Through synergism or antagonism with other genes， 21 bHLH genes participate in the coloration metabolic pathway regulation of stems， flowers， and fruits. Specifically， bHLH62-3 is involved in regulating stem color differentiation in the anthocyanin biosynthesis pathway of G. elata， thus relevant to the color formation of stem. Additionally， GebHLH48 positively regulates flowering-related pathways to promote the early-flowering phenotype of G. elata f. elata. These findings have laid the foundation for analyzing the genetic regulatory mechanisms underlying the color formation of the G. elata stem.

ObjectiveGastrodia elata has evolved ecological types with shortened rhizome internodes and diversified flower and fruit coloration in response to different altitudes. Studying the genetic mechanisms of different ecotype germplasm is significant for guiding variety breeding in different cultivation areas. MethodsThe bHLH gene family was identified based on the whole-genome datasets of G. elata f. elata and G. elata f. glauca. Subsequently， the gene family members were subject to analysis， including gene structure， chromosomal localization， cis-acting elements， gene synteny， and phylogeny. Combined with transcriptome data and quantitative Real-time PCR， the expression patterns of bHLH genes in the stems of the different G. elata ecotype germplasm were analyzed. Finally， correlation analysis was conducted between gene expression patterns and color to obtain the key bHLH genes regulating the color formation of stem. ResultsA total of 63 bHLH genes were identified in both G elata f. elata and G. elata f. glauca， unevenly distributed across 17 chromosomes and clustered into 16 subfamilies， with significant expansion in some family members. Obvious inversions of bHLH genes on the same chromosome and interchromosomal translocations were detected in the two ecotype germplasm. Among these genes， 12 bHLH genes （such as bHLH62-3 and bHLH74） were associated with the bright yellow color of G elata f. elata stem， while 9 bHLH genes （such as PIL13， UNE12， and bHLH130） were correlated with the red color of G. elata f. glauca stem. Compared to G. elata f. glauca， the bHLH48 expression level was significantly higher in flowers and scale leaves of G elata f. elata， and the bHLH62-3 expression level was significantly higher in all organs of G elata f. elata. ConclusionsFunctional pathway divergence of the bHLH family members has occurred across different chromosomes in G elata f. elata and G. elata f. glauca. Through synergism or antagonism with other genes， 21 bHLH genes participate in the coloration metabolic pathway regulation of stems， flowers， and fruits. Specifically， bHLH62-3 is involved in regulating stem color differentiation in the anthocyanin biosynthesis pathway of G. elata， thus relevant to the color formation of stem. Additionally， GebHLH48 positively regulates flowering-related pathways to promote the early-flowering phenotype of G. elata f. elata. These findings have laid the foundation for analyzing the genetic regulatory mechanisms underlying the color formation of the G. elata stem.

ObjectiveThe biosynthesis of heterophyllin B （HB）， a cyclopeptide from Pseudostellaria heterophylla， is regulated by various abiotic stresses. Elucidating the transcriptional regulatory mechanism underlying HB biosynthesis is of great guiding significance for the directional improvement of P. heterophylla varieties and the enhancement of HB content. MethodsBased on transcriptome data from different tissues of P. heterophylla， transcription factors （TFs） specifically upregulated and highly expressed in the phloem of tuberous roots were screened through a combination of Mfuzz time-series clustering， transcription factor family prediction， and correlation analysis. Quantitative real-time polymerase chain reaction （Real-time PCR） was employed to analyze expression patterns of candidate TFs under abscisic acid （ABA） induction， and the dual-luciferase reporter assay was applied to verify their regulatory effects on HB precursor genes. ResultsContent determination showed that HB accumulated at the highest in the phloem of P. heterophylla tuberous roots （34 μg·g^-1 fresh weight）. Transcriptome analysis identified 15 868 up-regulated differentially expressed genes （DEGs）， among which 4 375 were specifically up-regulated in the phloem. From these， 25 TFs highly expressed in the phloem were screened. Correlation analysis revealed that the expression level of WRKY70 was significantly positively correlated with HB content， the expression of precursor genes prePhHB， and PhPOP1. Additionally， WRKY70 expression was significantly upregulated under ABA induction. Dual-luciferase reporter assay confirmed that WRKY70 specifically activated the transcriptional activity of the prePhHB promoter （Pro-prePhHB）. ConclusionHB is mainly accumulated in the phloem of P. heterophylla tuberous roots. WRKY70 positively regulates HB biosynthesis by directly activating the promoter activity of prePhHB. This study clarifies the key role of WRKY70 in the regulation of HB biosynthesis and provides an important theoretical basis for the in-depth analysis of the molecular regulatory mechanism underlying HB biosynthesis.

Cholangiocarcinoma (CCA) is a malignancy characterized by tumor cells originating in the liver or bile ducts, exhibiting features of cholangiocyte differentiation. It poses a significant clinical challenge due to the limited diagnostic and therapeutic options available. Robust animal models are essential for advancing our understanding of CCA pathogenesis and developing effective treatments. This review provides a comprehensive overview of CCA mouse models, highlighting various approaches, including chemical induction, genetically engineered models, and tumor xenografts. Each model is discussed in terms of its establishment techniques, pathological characteristics, and research significance, with a focus on intrahepatic CCA. Chemical induction models, such as diethylnitrosamine- and azoxymethane-induced models, offer insights into tumorigenesis processes, whereas genetically modified models involving alterations in key genes such as Kirsten rat sarcoma viral oncogene homolog, tumor protein 53, and isocitrate dehydrogenase serve as important tools for studying the molecular mechanisms underlying CCA. Xenograft models, including patient-derived xenografts, bridge the gap between experimental research and clinical applications, allowing for precise therapeutic evaluations. By comparing these models, this review underscores their respective advantages and limitations, paving the way for future studies aiming to optimize and innovate CCA modeling strategies.

Protein liquid-liquid phase separation (LLPS), a pivotal phenomenon intricately linked to cellular processes, is regulated by various other proteins. However, there is still a lack of high-throughput methods for screening protein regulators of LLPS in target proteins. Here, we developed a CRISPR/Cas9-based screening method to identify protein phase separation regulators by integrating bimolecular fluorescence complementation (BiFC) and fluorescence-activated cell sorting (FACS). Using this newly developed method, we screened the RNA-binding proteins that regulate PABPN1 phase separation and identified the tumor suppressor QKI as a promoter of PABPN1 phase separation. Furthermore, QKI exhibits decreased expression levels and diminished nuclear localization in colorectal cancer cells, resulting in reduced PABPN1 phase separation, which, in turn, promotes alternative polyadenylation (APA), cell proliferation, and migration in colorectal cancer.
Humans ; Colorectal Neoplasms/genetics* ; RNA-Binding Proteins/genetics* ; Poly(A)-Binding Protein I/genetics* ; CRISPR-Cas Systems ; Flow Cytometry ; Cell Proliferation ; Cell Line, Tumor ; Cell Movement

Therapeutic cancer vaccines have experienced a resurgence over the past ten years. Cancer vaccines are typically designed to enhance specific stages of the cancer-immunity cycle, primarily by activating the immune system to promote tumor regression and overcome immune resistance. In this review, we summarize the significant recent advancements in cancer immunotherapy based on the cancer-immunity cycle, including the effector cell function, infiltration, initiation, and exhaustion. We summarize the identification of tumor antigens and their delivery through cancer vaccines. We discuss how specific stages of the cancer-immunity cycle have been leveraged to augment anti-tumor immune responses and improve vaccine efficacy. Additionally, the impact of aging and myelosuppression, two prevalent forms of immunological stress, on the effectiveness of therapeutic cancer vaccines is deliberated. Finally, we summarize the current status of various therapeutic cancer vaccines at different clinical trial phases.
Humans ; Cancer Vaccines/therapeutic use* ; Neoplasms/therapy* ; Immunotherapy/methods* ; Antigens, Neoplasm/immunology* ; Animals

Objective To compare the consistency of voice parameters collected by commonly used smart-phone brands in China and professional recording equipment,and to study whether smartphones can be used for voice research.Methods A total of 67 normal subjects were selected for voice recording using six different smart-phone brands(via the"Active Health"screening APP from the National Key Research and Development Program)and professional recording equipment.Acoustic voice parameters such as fundamental frequency parameters,fre-quency variation parameters,amplitude variation parameters,formant parameters,and energy parameters were ex-tracted from the vowels/a/,/i/,and/u/.A one-way ANOVA test and Tukey's HSD post-hoc comparisons were conducted on the independent variables.Results There were no significant differences between smartphones and professional recording equipment in terms of fundamental frequency parameters such as median F0,mean F0,max F0 and min F0;frequency parameters such as jitter local,jitter local absolute,jitter rap,jitter ppq5,and jitter ddp;amplitude parameters such as shimmer local,shimmer local dB,shimmer apq3,shimmer apq5,shimmer apq11,and shimmer dda;and formant parameters such as F1,F2,F3,and F4.However,significant differences were found in energy parameters such as mean energy(F=31.171,P＜0.001),max energy(F=34.193,P＜0.001),and min energy(F=5.453,P＜0.001)between smartphones and professional recording equipment.Conclusion The smartphones using the"Active Health"screening app from the National Key Research and Development Program can replace professional recording equipment for voice research.However,caution should be exercised when selec-ting energy-related acoustic parameters.

Objective:To analyze the efficacy and safety of splenic artery occlusion combined with microwave ablation (MWA) in the treatment of hepatocellular carcinoma (HCC) complicated with liver cirrhosis and hypersplenism.Methods:Clinical data of 24 patients with HCC complicated with cirrhosis and secondary hypersplenism admitted to Airport Hospital of Tianjin Cancer Hospital from August 2023 to May 2024 were retrospectively analyzed, including 13 males and 11 females, aged (57.4±7.8) years. All patients were treated with splenic artery occlusion combined with MWA of spleen. Spleen volume measured by MRI before and after MWA, blood routine changes and postoperative complications (fever, bleeding, pain, renal failure and thrombosis) were analyzed.Results:The splenic volume of 24 patients measured by MRI before MWA was 692.4 (504.7, 1023.7) cm 3, and decreased to 225.0 (186.4, 285.6) cm 3 after treatment for 60 days ( Z=-3.23, P=0.001). The red blood cell counts were comparable before and after microwave ablation. The white blood cell count before MWA was 4.3 (3.2, 5.3)×10 9/L, which increased to 11.0 (8.6, 15.8)×10 9/L three days after treatment, and to 5.0 (3.3, 6.1)×10 9/L 90 days after treatment ( Z=-4.70, -0.34, P<0.001, P=0.732). The platelet count of the patients was 47.0 (39.0, 67.0)×10 9/L before MWA, which increased to 155.0 (120.3, 214.3)×10 9/L seven days after Treatment, and to 77.0 (63.0, 125.0)×10 9/L 90 days after treatment ( Z=-5.29, -2.51, P<0.001, P=0.012). None of the patients had obvious bleeding and no death occured. One patient (4.2%) developed renal failure, one patient (4.2%) had splenic venous thrombosis, 4 patients (16.7%) had pain of different degrees, and 5 patients (20.8%) had low fever. Conclusion:Splenic artery occlusion combined with MWA in the treatment of HCC complicated with liver cirrhosis and hypersplenism can significantly reduce spleen volume and increase platelet level with acceptable complications.

Objective: To explore the relationship between parenting styles and depressive symptoms in adolescents with nightmare disorder, so as to provide a scientific basis for formulating effective family intervention measures and psychological counseling. Methods: From January 2023 to August 2024, 90 adolescents diagnosed with nightmare disorder and admitted to Hangzhou Seventh Peoples Hospital, along with 176 healthy controls from the urban areas of Hangzhou, were recruited as participants in the study. All participants were assessed using the Nightmare Experience Questionnaire (NEQ), Family Relationship Questionnaire (FRQ), and Plutchik-van Praag Selfreport Depression Scale (PVP). The ttest and Chisquare test were conducted to compare two groups. Pearson correlation and stepwise multiple linear regression were employed to explore the correlations between PVP and NEQ or FRQ. The Process model was used to testing the mediating effects among NEQ/FRQ/PVP. Results: The nightmare disorder group had higher scores in nightmare frequency, the four factors of NEQ (physical effect, negative emotion, meaning interpretation, horrible stimulation), and PVP than the healthy control group (24.86±18.89, 10.12±3.67, 19.01±3.51, 17.02±3.31, 15.14±3.26, 14.02±4.38; 2.34±1.04, 6.49±2.18, 17.63±4.76, 13.91±4.24, 12.40±4.49, 9.39±3.28)(t=15.79, 10.11, 2.43, 6.09, 5.14, 27.46, P<0.05). The nightmare disorder group reported significantly lower scores in FRQ general attachment and maternal encouragement than the healthy control group (7.22±2.81, 16.39±3.28) (t=-5.53, -4.95). In contrast, they exhibited significantly higher scores in maternal abuse, maternal dominance, paternal freedom release, and paternal dominance than the healthy control group (8.23±1.80, 13.11±3.73, 18.36±3.37, 12.04±3.29; 6.07±1.85, 8.48±3.80, 15.15±2.51, 9.47±3.03) (t=6.70, 8.96, 5.90, 7.04, P<0.01). The results of Pearson correlation analysis showed that, in the nightmare disorder group, the PVP score was positively correlated with negative emotion, nightmare frequency, maternal abuse, and maternal dominance score (r=0.14, 0.63, 0.26, 0.51, P<0.05). The results of multiple linear regression analysis showed that when using FRQ score to predict NEQ score, the adjusted R2 in the nightmare disorder group was 0.01-0.59. Mother abuse could prediced physical effect (β=0.33); maternal dominance significantly predicted negative emotion, horrible stimulation, and nightmare frequency (β=0.29, 0.30, 0.79); paternal freedom release could predict negative emotion (β=0.26), paternal dominance predicted both negative emotion and nightmare frequency (β=0.22, 0.45) (P<0.05). Mediation analysis further revealed that, in the nightmare disorder group, PVP scores served as a mediating variable between FRQ and NEQ. Conclusion Abusive, controlling, and neglectful family upbringing styles as well as depression maybe are key factors that may contribute to the development of nightmare disorder among adolescents.