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 present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health. MethodsA total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerström test for nicotine dependence (FTND). ResultsCompared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways. ConclusionThe present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

To address the scarcity of annotated data for pediatric abdominal CT imaging and the insufficient generalization capability of existing models, we constructed a self-supervised pretraining architecture tailored for pediatric CT domain adaptation based on the visual foundation model DINOv3, and validated its performance in the task of pediatric abdominal multi-organ segmentation.

ObjectiveTo compare the Children's Hepatic tumors International Collaboration （CHIC） and the new Chinese Children's Cancer Group （CCCG） hepatoblastoma （HB） risk stratification systems in terms of their prognostic prediction efficacy and chemotherapy guidance value for Chinese children with HB， aiming to identify the risk stratification system more suitable for Chinese HB patients. MethodsThis retrospective study analyzed the clinical data of 403 pediatric patients with HB aged ＜ 18 years who were initially diagnosed at The First Affiliated Hospital of Sun Yat-sen University between February 2010 and September 2023. The prognostic predictive efficacy and chemotherapy-guided value of the CHIC and CCCG risk stratification systems was compared. Statistical analysis was performed using SPSS 27.0. Results①Using the new CCCG risk stratification， the 5-year event-free survival （EFS） rates for children who received versus did not receive risk-stratified chemotherapy according to the CCCG-HB-2016 protocol were 82.5% and 67.7% （P=0.002）， respectively， and the 5-year overall survival （OS） rates were 91.5% and 85.1% （P=0.038）. Using CHIC risk stratification， the corresponding 5-year EFS rates for children who received versus did not receive risk-stratified chemotherapy according to the CCCG-HB-2016 protocol were 80.3% and 68.5% （P=0.030）， and the 5-year OS rates were 90.9% and 85.8% （P=0.151）. ②Among children treated with the CCCG-HB-2016 protocol stratified by the new CCCG system， the 5-year EFS rates for the very low-risk （6 cases）， low-risk （20 cases）， intermediate-risk （61 cases）， and high-risk （69 cases） groups were 100%， 94.1%， 94.7%， and 66.2% （P＜0.001）， respectively， and the 5-year OS rates were 100%， 100%， 96.5%， and 82.0% （P=0.017）. Among children treated with the CCCG-HB-2016 protocol stratified by the CHIC system， the 5-year EFS rates for the very low-risk （32 cases）， low-risk （22 cases）， intermediate-risk （37 cases）， and high-risk （54 cases） groups were 93.8%， 95.2%， 76.1%， and 66.8% （P=0.003）， respectively， and the 5-year OS rates were 93.1%， 100%， 89.5%， and 85.6% （P=0.190）. ③For patients receiving CCCG-HB-2016 risk-stratified chemotherapy， the P-values for EFS comparisons between the CHIC and new CCCG systems within the very low-risk， low-risk， intermediate-risk， and high-risk groups were 0.537， 0.879， 0.023， and 0.934， respectively. Among patients who received stratified chemotherapy according to the CCCG-HB-2016 regimen， the intermediate-risk group in the new CCCG risk stratification system exhibited a significant advantage in 5-year event-free survival （EFS） compared with the intermediate-risk group in the CHIC risk stratification system （94.7% vs. 76.1%）. ConclusionCompared to the CHIC risk stratification， the new CCCG stratification may offer better prognostic prediction and guidance value for chemotherapy in Chinese HB patients， with the intermediate-risk group showing superior outcomes.

Objective:To establish a prognostic model based on endoplasmic reticulum stress-related genes for evaluating the prognosis of patients with renal cell carcinoma.Methods:This study utilized Non-negative Matrix Factorization to identify molecular subgroups based on endoplasmic reticulum stress-related genes and employed Weighted Correlation Network Analysis to determine co-expressed genes associ-ated with these subgroups.A risk prognostic model was constructed using univariate Cox regression analysis and Lasso regression analysis.Preliminary experimental validations were conducted to elucidate the biological functions of model genes in renal cell carcinoma.Results:Two molecular subgroups with distinct survival prognoses were identified,and an intersection of related genes was used to construct a nov-el endoplasmic reticulum stress-related prognostic model.Patients in the high-risk group exhibited significantly poorer overall survival in both the training and validation cohorts.In vivo experiments demonstrated that PCK1,a model gene,could inhibit the proliferation,migra-tion,and invasion of renal cell carcinoma cells.Conclusions:The risk scoring model developed in this study effectively predicts the survival probability of renal cell carcinoma patients and can serve as an independent prognostic indicator.This model offers a new direction for per-sonalized treatment strategies in renal cell carcinoma patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To evaluate the alveolar ridge preservation effect of immediate implantation at extraction site with the im-proved CBCT measuring method.Methods:Eighty patients with extraction site were divided into test group A,B,C and control group.The patients were treated by means of immediate implant placement combined with large flap surgery,guided bone regener-ation(GBR)using mass Bio-Oss bone particles in the group A(the thickness of facial bone wall＜1 mm);The patients were trea-ted by means of immediate implant placement combined without flap surgery and bone graft in the group B(the thickness of facial bone wall ≥1 mm and＜2 mm)and C(the thickness of facial bone wall ≥2 mm),the CGF was implanted in the jumping space only when the thickness of jumping space was＞2 mm.In the control group,the alveolar sockets healed naturally without any in-tervention or treatment.CBCT was taken before surgery,immediately after surgery,and 6 months after surgery to evaluate the height and width of alveolar bone,the thickness of facial bone wall and jumping space.Results:The reduction of alveolar ridge height in group A,B,C and control group was(0.41±0.13,0.94±0.18,0.59±0.12,1.31±0.19)mm,The reduction of alveolar ridge width in group A,B,C and control group was(0.93±0.10,1.48±0.21,1.12±0.17,1.66±0.16)mum.The re-sults of four groups were statistically different(F=177.0,P＜0.001;F=125.3,P＜0.001).The alveolar ridge thickness of facial bone wall in group A,B,C and con-trol group was(0.98±0.25,2.39±0.28)mm,(1.43±0.52,2.10±0.33)mm,(2.17±0.41,2.79±0.27)mm before surgery and six months after immediate implantation.The results of each group were statistically different between before surgery and six months after immediate implantation(t=16.45,P＜0.001;t=7.357,P＜0.001;t=5.488,P＜0.001).Patients in three test groups had the thickness of jumping space＞2 mm and ≤2 mm,and the reduction of alveolar ridge width was(0.78±0.18,0.88±0.17)mm.The results were statistically different(t=17.18,P=0.018).Conclusion:The alveolar ridge preservation was obtained by means of immediate implant placement combined with large flap surgery,guided bone regeneration(GBR)using mass Bio-Oss bone particles at extraction site with the thickness of facial bone wall＜1 mm;The alveolar ridge preservation was obtained without flap surgery and GBR at extraction site with the thickness of facial bone wall≥1 mm.The preservation of soft and hard tissue was better in the axial palatal side of immediate implantation with the thickness of jumping space＞2 mm than that with the thickness of jumping space≤2 mm.

Objective:To investigate the impact of deep learning image reconstruction (DLIR), adaptive statistical iterative reconstruction-veo (ASiR-V) and filtered back projection (FBP) on the histogram and wavelet features of portal venous phase abdominal CT in patients with hepatic tumor.Methods:The CT data of 68 patients with hepatic tumor who underwent enhanced CT scans were retrospectively collected. FBP, 30%ASiR-V, DLIR-L, DLIR-M and DLIR-H images were reconstructed. The images of portal venous phase were reconstructed with five algorithms, including FBP, ASIR-V at a level of 30% (ASiR-V 30%), DLIR at low (DLIR-L), medium (DLIR-M), and high (DLIR-H). Histogram and wavelet features were extracted from hepatic lesion, liver, spleen, kidney and erector spinae muscle, and compared using one-way analysis of variance or Kruskal-Wallis test. Two radiologists delineated the three-dimensional lesions independently and one of them repeated the delineation after one month. Intra-class correlation coefficients ( ICC) among five sets of images were calculated to evaluate the consistency of radiomics features of hepatic lesion. P<0.05 was considered to indicate statistical significance. Results:Most histogram and wavelet features extracted from hepatic lesion, liver, spleen, kidney and erector spinae muscle showed significant differences among five groups (all P<0.05). The number of features without significant differences decreased with the intensity of DLIR reconstruction increased. For histogram features, there were no significant differences of energy, mean, median, and total energy among five sets of images ( P>0.05). For wavelet features, there were no significant differences of mean and median among five sets of images ( P>0.05). The consistency of all histogram features was high except for the mean value of wavelet feature. The intra-and inter-observer ICC ranged from 0.756 to 1 and 0.767 to 1, respectively. Conclusion:Both 30%ASiR-V and DLIR at three levels algorithms had influence on the histogram and wavelet features of abdominal organs and hepatic tumors extracted from CT images in portal venous phase, and the effects expanded with the strengthening of levels. Median can be a reliable quantitative parameter for CT texture analysis of hepatic tumor.