Large-scale lexical and genetic alignment supports a hybrid model of Han Chinese demic and cultural diffusions.

The Han Chinese history is shaped by substantial demographic activities and sociocultural transmissions. However, it remains challenging to assess the contributions of demic and cultural diffusion to Han culture and language, primarily due to the lack of rigorous examination of genetic-linguistic congruence. Here we digitized a large-scale linguistic inventory comprising 1,018 lexical traits across 926 dialect varieties. Using phylogenetic analysis and admixture inference, we revealed a north-south gradient of lexical differences that probably resulted from historical migrations. Furthermore, we quantified extensive horizontal language transfers and pinpointed central China as a dialectal melting pot. Integrating genetic data from 30,408 Han Chinese individuals, we compared the lexical and genetic landscapes across 26 provinces. Our results support a hybrid model where demic diffusion predominantly impacts central China, while cultural diffusion and language assimilation occur in southwestern and coastal regions, respectively. This interdisciplinary study sheds light on the complex social-genetic history of the Han Chinese.

De Novo Dissecting the Three-Dimensional Facial Morphology of 2379 Han Chinese Individuals.

Phenotypic diversity, especially that of facial morphology, has not been fully investigated in the Han Chinese, which is the largest ethnic group in the world. In this study, we systematically analyzed a total of 14,838 facial traits representing 15 categories with both a large-scale three-dimensional (3D) manual landmarking database and computer-aided facial segmented phenotyping in 2379 Han Chinese individuals. Our results illustrate that homogeneous and heterogeneous facial morphological traits exist among Han Chinese populations across the three geographical regions: Zhengzhou, Taizhou, and Nanning. We identified 1560 shared features from extracted phenotypes, which characterized well the basic facial morphology of the Han Chinese. In particular, heterogeneous phenotypes showing population structures corresponded to geographical subpopulations. The greatest facial variation among these geographical populations was the angle of glabella, left subalare, and right cheilion (p = 3.4 × 10-161). Interestingly, we found that Han Chinese populations could be classified into northern Han, central Han, and southern Han at the phenotypic level, and the facial morphological variation pattern of central Han Chinese was between the typical differentiation of northern and southern Han Chinese. This result was highly consistent with the results revealed by the genetic data. These findings provide new insights into the analysis of multidimensional phenotypes as well as a valuable resource for further facial phenotype-genotype association studies in Han Chinese and East Asian populations. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00109-x.

Knowledge, attitudes, and practice toward tuberculosis in high school students in Qingdao, China.

INTRODUCTION: The purpose of this study is to assess the levels of knowledge, attitude, and practice (KAP) related to TB, and to analyze the differences among various demographic groups. METHODOLOGY: A total of 621 students enrolled in Qingdao High School, coming from high TB burden settings. The cross-sectional study was conducted from May to July of 2022. Participants completed an online questionnaire. Differences in knowledge and practice based on participant characteristics were analyzed using the Wilcoxon rank test and Kruskal-Wallis rank test. Group differences were assessed using a rank-based analysis of variance. RESULTS: The mean percentage of correct answers for TB knowledge and practice was 82.09% and 83.25%, respectively. Grade Three students showed higher knowledge and practice scores than Grade One or Grade Two students (t = -3.9935, p = 0.0002, t = 3.4537, p = 0.0018. 8.58 vs 7.94, 8.58 vs 8.23. t = 3.4562, p = 0.0018, t = -2.8688, p = 0.0128. 1.78 vs 1.61, 1.78 vs 1.64). A significant majority (78.42%) of students expressed fear of being affected by TB. 49.28% of the students would support and help TB patients. 88.08% of participants had heard of TB, with 72.94% learning about it at school, mainly through visual aids like posters. Information was predominantly obtained from online sources (websites, microblogs, WeChat, etc.). CONCLUSIONS: It is recommended to develop a TB curriculum for lower-grade students to enhance awareness of TB prevention through various means, including the internet and social media.

Reconstructing the ancestral gene pool to uncover the origins and genetic links of Hmong-Mien speakers.

BACKGROUND: Hmong-Mien (HM) speakers are linguistically related and live primarily in China, but little is known about their ancestral origins or the evolutionary mechanism shaping their genomic diversity. In particular, the lack of whole-genome sequencing data on the Yao population has prevented a full investigation of the origins and evolutionary history of HM speakers. As such, their origins are debatable. RESULTS: Here, we made a deep sequencing effort of 80 Yao genomes, and our analysis together with 28 East Asian populations and 968 ancient Asian genomes suggested that there is a strong genetic basis for the formation of the HM language family. We estimated that the most recent common ancestor dates to 5800 years ago, while the genetic divergence between the HM and Tai-Kadai speakers was estimated to be 8200 years ago. We proposed that HM speakers originated from the Yangtze River Basin and spread with agricultural civilization. We identified highly differentiated variants between HM and Han Chinese, in particular, a deafness-related missense variant (rs72474224) in the GJB2 gene is in a higher frequency in HM speakers than in others. CONCLUSIONS: Our results indicated complex gene flow and medically relevant variants involved in the HM speakers' evolution history.

A nomogram prognostic model for early hepatocellular carcinoma with diabetes mellitus after primary liver resection based on the admission characteristics.

Background: Patients diagnosed with early-stage hepatocellular carcinoma (HCC) and diabetes mellitus (DM) are at a higher risk of experiencing complications and facing increased mortality rates. Hence, it is crucial to develop personalized clinical strategies for this particular subgroup upon their admission. The objective of this study is to determine the key prognostic factors in early HCC patients who received liver resection combined with DM and develop a practical personalized model for precise prediction of overall survival in these individuals. Method: A total of 1496 patients diagnosed hepatitis B virus (HBV) - related liver cancer from Beijing You'an Hospital were retrospectively enrolled, spanning from 1 January 2014, to 31 December 2019, and ultimately, 622 eligible patients of hepatocellular carcinoma (HCC) patients with diabetes were included in this present investigation. A multivariate COX regression analysis was conducted to identify prognostic factors that are independent of each other and develop a nomogram. The performance of the nomogram was evaluated using various statistical measures such as the C-index, receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) in both the training and validation groups. Survival rates were estimated using the Kaplan-Meier method. Results: The study included a total of 622 early HCC patients who underwent liver resection combined with DM. Random Forrest model and Multivariate Cox regression analysis revealed that drinking, tumor number, monocyte-to-lymphocyte ratio, white blood cell count and international normalized ratio at admission were identified as independent prognostic factors for early HCC patients who underwent liver resection combined with DM. The nomogram demonstrated good predictive performance in the training and validation cohorts based on the C-index values of 0 .756 and 0 .739 respectively, as well as the area under the curve values for 3-, 5-, and 8-year overall survival (0.797, 0.807, 0.840, and 0.725, 0.791, 0.855). Calibration curves and decision curve analysis indicated high accuracy and net clinical benefit rates. Furthermore, the nomogram successfully stratified enrolled patients into low-risk and high-risk groups based on their risk of overall survival. The difference in overall survival between these two groups was statistically significant in both the training and validation cohorts (p < 0.0001 and p = 0.0064). Conclusion: Our results indicate that the admission characteristics demonstrate a highly effective ability to predict the overall survival of early HCC patients who have undergone liver resection in combination with DM. The developed model has the potential to support healthcare professionals in making more informed initial clinical judgments for this particular subgroup of patients.

The integrate profiling of single-cell and spatial transcriptome RNA-seq reveals tumor heterogeneity, therapeutic targets, and prognostic subtypes in ccRCC.

Clear-cell renal cell carcinoma (ccRCC) is the most common type of RCC; however, the intratumoral heterogeneity in ccRCC remains unclear. We first identified markers and biological features of each cell cluster using bioinformatics analysis based on single-cell and spatial transcriptome RNA-sequencing data. We found that gene copy number loss on chromosome 3p and amplification on chromosome 5q were common features in ccRCC cells. Meanwhile, NNMT and HILPDA, which are associated with the response to hypoxia and metabolism, are potential therapeutic targets for ccRCC. In addition, CD8+ exhausted T cells (LAG3+ HAVCR2+), CD8+ proliferated T cells (STMN+), and M2-like macrophages (CD68+ CD163+ APOC1+), which are closely associated with immunosuppression, played vital roles in ccRCC occurrence and development. These results were further verified by whole exome sequencing, cell line and xenograft experiments, and immunofluorescence staining. Finally, we divide patients with ccRCC into three subtypes using unsupervised cluster analysis. and generated a classifier to reproduce these subtypes using the eXtreme Gradient Boosting algorithm. Our classifier can help clinicians evaluate prognosis and design personalized treatment strategies for ccRCC. In summary, our work provides a new perspective for understanding tumor heterogeneity and will aid in the design of antitumor therapeutic strategies for ccRCC.

A comprehensive evaluation of the phenotype-first and data-driven approaches in analyzing facial morphological traits.

The phenotype-first approach (PFA) and data-driven approach (DDA) have both greatly facilitated anthropological studies and the mapping of trait-associated genes. However, the pros and cons of the two approaches are poorly understood. Here, we systematically evaluated the two approaches and analyzed 14,838 facial traits in 2,379 Han Chinese individuals. Interestingly, the PFA explained more facial variation than the DDA in the top 100 and 1,000 except in the top 10 phenotypes. Accordingly, the ratio of heterogeneous traits extracted from the PFA was much greater, while more homogenous traits were found using the DDA for different sex, age, and BMI groups. Notably, our results demonstrated that the sex factor accounted for 30% of phenotypic variation in all traits extracted. Furthermore, we linked DDA phenotypes to PFA phenotypes with explicit biological explanations. These findings provide new insights into the analysis of multidimensional phenotypes and expand the understanding of phenotyping approaches.

Responses and resistance capacity of Solanum nigrum L. mediated by three ecological category earthworms in metal-[Cd-As-Cu-Pb]-contaminated soils of North China.

Earthworms play vital functions affecting plant growth and metal accumulation from downground to aboveground. Soil metal mobilization may be combined with use of earthworm and hyperaccumulator-Solanum nigrum to improve its remediation efficiency. Understanding the effects of specific-species earthworm belonging to different ecological categories on mechanisms underlying of S. nigrum is critical for metal-polluted remediation. However, seldom studies concerned earthworm-assisted phytoremediation of metal contaminated soil in Northern China. This study investigated the effects of earthworm (Eisenia fetida, Amynthas hupeiensis and Drawida gisti) on S. nigrum with exposure to uncontaminated and [Cd-As-Cu-Pb]-contaminated soil (referred to as S0 and S1) for 60 days, respectively. In S1 soil, A. hupeiensis (anecic) had stronger effects on growth and metal accumulation in the organs (root, stem, and leaf) of S. nigrum than D. gisti (endogeic) and E. fetida (epigeic), attributing to their ecological category. The BAF values of S. nigrum were generally ranking in Cd (0.66-5.13) > As (0.03-1.85) > Cu (0.03-0.06) > Pb (0.01-0.05); the BAFCd values were ranking in leaf (2.34-5.13) > root (1.96-4.14) > stem (0.66-1.33); BAFAs, BAFCu, and BAFPb were root (0.04-1.63) > stem (0.01-0.09) ≈ leaf (0.01-0.06). A. hupeiensis decreased the TF values of S. nigrum from the roots to the shoots. Co-effects of metal stress and earthworm activity on metal uptake by shoots suggested that A. hupeiensis increased the uptake of As, Cu, and Pb (by 56.3 %, 51.5 %, and 16.2 %, p < 0.05), but not Cd, which appeared to remain steady for prolonged durations. Alterations in the integrated biomarker response index version 2 (IBRv2) values demonstrated that A. hupeiensis (12.65) improved the resistance capacity (stimulated GSH, SnGS1, and SnCu-SOD) of S. nigrum under metal-containing conditions, compared with E. fetida and D. gisti (IBRv2 were 9.61 and 9.11). This study may provide insights into the patterns of 'soil-earthworm-plant system' on improving remediation efficiency of S. nigrum, from the perspective of earthworm ecological niche partitioning.

Post-surgery financial toxicity and its influencing factors in colorectal cancer care: A cross-sectional study.

PURPOSE: This study aimed to investigate the influence factors of financial toxicity experienced by colorectal cancer patients after surgery. The results will provide deep insights for developing effective intervention strategies to address this common issue of colorectal cancer care. METHODS: In this cross-sectional study, we recruited 213 postoperative patients with colorectal cancer from February 2023 to July 2023 in two major public hospitals. Patients completed the General Information Questionnaire, Comprehensive Scores for Financial Toxicity (COST), Self-perceived Burden Scale (SPBS), Family Resilience Questionnaire (FaREQ), and Social Support Rating Scale (SSRS). A multiple linear regression model was used to investigate the influence factors of financial toxicity. RESULTS: The mean score of financial toxicity was medium (18.91 ± 7.90) in this study. Financial toxicity score was negatively correlated with self-perceived burden (r = -0.333, P < 0.01) and positively associated with family resilience (r = 0.365, P < 0.01) and social support (r = 0.388, P < 0.01). Via multiple linear regression analysis, we identified seven significant factors associated with financial toxicity, including family income [(95 %CI: 1.075-3.123); P = 0.000], self-perceived burden [(95 %CI: 0.300∼-0.038); P = 0.012], stoma [(95 %CI: 5.309∼-1.682); P = 0.000], social support [(95 %CI:0.058-0.407); P = 0.009], cancer stage [(95 %CI: 2.178∼-0.170); P = 0.022], postoperative duration [(95 %CI: 1.900∼-0.332); P = 0.005], and family resilience [(95 %CI: 0.028-0.203); P = 0.010]. CONCLUSIONS: Financial toxicity was prevalent among postoperative colorectal cancer patients. Additional support and early interventions should be given to high-risk patients, including those with stomas, advanced disease stages, or experiencing longer postoperative duration. Apart from demographic factors, we identified that self-perceived burden, family resilience, and social support were also associated with financial toxicity, providing a new perspective for developing effective strategies against financial toxicity.

Carbon Dots with Antioxidant Capacity for Detecting Glucose by Fluorescence and Repairing High-Glucose Damaged Glial Cells.

Diabetic mellitus management extends beyond blood glucose monitoring to the essential task of mitigating the overexpression of reactive oxygen species (ROS), particularly vital for cellular repair, especially within the nervous system. Herein, antioxidant carbon dots (Arg-CDs) were designed and prepared using anhydrous citric acid, L-arginine, and ethylenediamine as sources through a hydrothermal method. Arg-CDs exhibited excellent scavenging ability to 2,2-Diphenyl-1-picrylhydrazyl (DPPH∙), and fluorescence response to hydroxyl radicals (∙OH), a characteristic representative of reactive oxygen species (ROS). Assisted by glucose oxidase and Fe2+, Arg-CDs showed a sensitive and selective response to glucose. The quenching mechanism of Arg-CDs by formed ∙OH was based on the static quenching effect (SQE). The analytical performance of this method for glucose detection encompassed a wide linear range (0.3-15 µM), a low practical limit of detection (0.1 µM) and practical applicability for blood glucose monitoring. In an in vitro model employing glial cells (BV2 cells), it was observed that high glucose medium led to notable cellular damage ascribed to the excessive ROS production from hyperglycemia. The diminished and apoptotic glial cells were gradually recovered by adding increased contents of Arg-CDs. This work illustrates a promising area that designs effective carbon dots with antioxidant capacity for the dual applications of detection and cell repairing based on the utilization of antioxidant activity.

An Ultrasensitive Room-Temperature H2 Sensor Based on a TiO2 Rutile-Anatase Homojunction.

Metal oxide semiconductor hetero- and homojunctions are commonly constructed to improve the performance of hydrogen sensors at room temperature. In this study, a simple two-step hydrothermal method was employed to prepare TiO2 films with homojunctions of rutile and anatase phases (denoted as TiO2-R/A). Then, the microstructure of anatase-phase TiO2 was altered by controlling the amount of hydrochloric acid to realize a more favorable porous structure for charge transport and a larger surface area for contact with H2. The sensor used a Pt interdigital electrode. At an optimal HCl dosage (25 mL), anatase-phase TiO2 uniformly covered rutile-phase TiO2 nanorods, resulting in a greater response to H2 at 2500 ppm compared with that of a rutile TiO2 nanorod sensor by a factor of 1153. The response time was 21 s, mainly because the homojunction formed by the TiO2 rutile and anatase phases increased the synergistic effect of the charge transfer and potential barrier between the two phases, resulting in the formation of more superoxide (O2-) free radicals on the surface. Furthermore, the porous structure increased the surface area for H2 adsorption. The TiO2-R/A-based sensor exhibited high selectivity, long-term stability, and a fast response. This study provides new insights into the design of commercially competitive hydrogen sensors.

Supportive care needs and associated factors among caregivers of patients with colorectal cancer: a cross-sectional study.

To assess the level of supportive care needs of caregivers of colorectal cancer patients and explore the related key influencing factors. Totaling 283 caregivers of patients with colorectal cancer were investigated in this study. Firstly, caregivers were invited to complete a set of questionnaires, including the general information questionnaire, the Supportive Care Needs Survey-Partners and the Caregivers of cancer patients, the Caregiver Preparedness Scale, the Benefit Finding Scale, and the Comprehensive Score for Financial Toxicity. Univariate and multivariate linear regression were performed to investigate the associated factors of supportive care needs. The caregivers of patients with colorectal cancer have a moderate level of needs, scored at 2.71 ± 0.42. Caregiver preparedness, benefit finding, and financial toxicity were significantly negatively associated with the supportive care needs of caregivers (r = - 0.555, P < 0.001; r = - 0.534, P < 0.001; and r = - 0.615, P < 0.001, respectively). Our multivariate regression analysis identified some factors that directly affected the supportive care needs of caregivers, including the duration of illness, tumor stage, the age and educational level of caregivers, caregiver preparedness, benefit finding, and financial toxicity (R2 = 0.574, F = 23.337, P < 0.001). Supportive care needs are common among caregivers of colorectal cancer patients. Higher caregiver preparedness, benefit finding, and financial toxicity tend to ease these needs. Healthcare workers should have an in-depth understanding of the needs of caregivers of colorectal cancer patients and actively provide targeted financial/informational/technical/emotional support to promote nursing skills and reduce caregivers' burdens.

Financial toxicity of informal caregivers of colorectal cancer patients: A cross-sectional study.

PURPOSE: To assess the level of financial toxicity of informal caregivers of colorectal cancer patients and explore the related key influencing factors. METHOD: A descriptive survey design was used in this study. Data were collected from 236 informal caregivers of colorectal cancer patients between March 2023 and July 2023 from a major hospital in central China (Henan province). Potential influence factors of financial toxicity, including basic information, perceived stress, and social support were analyzed using multivariate linear regression. RESULTS: The financial toxicity score of 236 caregivers of colorectal cancer patients was 19.42 ± 9.72. One hundred and fourteen caregivers (accounting for 48.31%) of colorectal cancer patients had high levels of financial toxicity. Financial toxicity scores of caregivers were negatively correlated with perceived stress (r = -0.421, P < 0.001) and positively correlated with social support (r = 0.416, P < 0.001). Our multivariate regression analysis identified some factors that directly affected caregivers' financial toxicity, including caregiver age (t = 2.105, P = 0.036), medical insurance (t = 2.462, P = 0.015), average household income (t = 2.995, P = 0.003), place of residence (t = 2.872, P = 0.004), perceived stress (t = -4.945, P < 0.001), and social support (t = 4.513, P < 0.001). CONCLUSIONS: Caregivers of colorectal cancer patients generally experience a higher level of financial toxicity, which could be eased by lower perceived stress and higher social support. In clinical practice, it is necessary to comprehensively assess the level of financial toxicity of particular caregivers and enact targeted interventions such as increasing communication and actively providing information to address the high medical costs, reducing the detrimental effects of financial toxicity, and improving the quality of colorectal cancer care.

Effect of biochar on the SPNA system at ambient temperatures.

Biochar has been extensively studied in wastewater treatment systems. However, the role of biochar in the single-stage partial nitritation anammox (SPNA) system remains not fully understood. This study explored the impact of biochar on the SPNA at ambient temperatures (20 °C and 15 °C). The nitrogen removal rate of the system raised from 0.43 to 0.50 g N/(L·d) as the biochar addition was raised from 2 to 4 g/L. Metagenomic analysis revealed that gene abundances of amino sugar metabolism and nucleotide sugar metabolism, amino acid metabolism, and quorum sensing were decreased after the addition of biochar. However, the gene abundance of enzymes synthesizing NADH and trehalose increased, indicating that biochar could stimulate electron transfer reactions in microbial metabolism and assist microorganisms in maintaining a steady state at lower temperatures. The findings of this study provide valuable insights into the mechanism behind the improved nitrogen removal facilitated by biochar in the single-stage partial nitritation anammox system.

Discovery of Novel N-(Anthracen-9-ylmethyl) Benzamide Derivatives as ZNF207 Inhibitors Promising in Treating Glioma.

Targeting tumor stemness is an innovative approach to cancer treatment. Zinc Finger Protein 207 (ZNF207) is a promising target for weakening the stemness of glioma cells. Here, a series of novel N-(anthracen-9-ylmethyl) benzamide derivatives against ZNF207 were rationally designed and synthesized. The inhibitory activity was evaluated, and their structure-activity relationships were summarized. Among them, C16 exhibited the most potent inhibitory activity, as evidenced by its IC50 values ranging from 0.5-2.5 µM for inhibiting sphere formation and 0.5-15 µM for cytotoxicity. Furthermore, we found that C16 could hinder tumorigenesis and migration and promote apoptosis in vitro. These effects were attributed to the downregulation of stem-related genes. The in vivo evaluation demonstrated that C16 exhibited efficient permeability across the blood-brain barrier and potent efficacy in both subcutaneous and orthotopic glioma tumor models. Hence, C16 may serve as a potential lead compound targeting ZNF207 and has promising therapeutic potential for glioma.

Inferring language dispersal patterns with velocity field estimation.

Reconstructing the spatial evolution of languages can deepen our understanding of the demic diffusion and cultural spread. However, the phylogeographic approach that is frequently used to infer language dispersal patterns has limitations, primarily because the phylogenetic tree cannot fully explain the language evolution induced by the horizontal contact among languages, such as borrowing and areal diffusion. Here, we introduce the language velocity field estimation, which does not rely on the phylogenetic tree, to infer language dispersal trajectories and centre. Its effectiveness and robustness are verified through both simulated and empirical validations. Using language velocity field estimation, we infer the dispersal patterns of four agricultural language families and groups, encompassing approximately 700 language samples. Our results show that the dispersal trajectories of these languages are primarily compatible with population movement routes inferred from ancient DNA and archaeological materials, and their dispersal centres are geographically proximate to ancient homelands of agricultural or Neolithic cultures. Our findings highlight that the agricultural languages dispersed alongside the demic diffusions and cultural spreads during the past 10,000 years. We expect that language velocity field estimation could aid the spatial analysis of language evolution and further branch out into the studies of demographic and cultural dynamics.

Endowing Polyetheretherketone with Anti-Infection and Immunomodulatory Properties through Guanidination Carbon Dots Modification to Promote Osseointegration in Diabetes with MRSA Infection.

Methicillin-resistant Staphylococcus aureus (MRSA) infection and compromised immunity are the severe complications associated with implantation surgery in diabetes mellitus. Enhancing the antibacterial and immunomodulatory properties of implants represents an effective approach to improve the osseointegration of implant in diabetes mellitus. Herein, guanidination carbon dots (GCDs) with antibacterial and immunoregulatory functions are synthesized. The GCDs demonstrate killing effect on MRSA without detectable induced resistance. Additionally, they promote the polarization of macrophages from the M1 to M2 subtype, with the inhibiting pro-inflammatory cytokines and promoting anti-inflammatory factors. Correspondingly, GCDs are immobilized onto sulfonated polyether ether ketone (SP@GCDs) using a polyvinyl butyraldehyde (PVB) coating layer through soaking-drying technique. SP@GCDs maintain stable antibacterial efficacy against MRSA for six consecutive days and retain the immunomodulatory function, while also possessing the long-term storage stability and biocompatibility of more than 6 months. Moreover, SP@GCDs significantly promote the proliferation and mineralization of osteoblasts. SP@GCDs facilitate osteogenesis through immunoregulatory. Additionally, SP@GCDs exert stable antibacterial and immune regulatory functions in implantation site of a diabetes rat, effectively promoting implant osseointegration regardless of the MRSA infection. These findings provide valuable insights into implant modification through designing nanomaterials with multifunction for enhancing osseointegration of diabetes mellitus, suggesting the promising clinical application prospects.

Caregiver burden, mutuality, and family resilience in colorectal cancer caring: A mediating model analysis.

PURPOSE: This study investigates the interaction between caregiver burden, mutuality, and family resilience in colorectal cancer management, and determines whether mutuality affects the effect of caregiver burden on family resilience. METHOD: In this cross-sectional study, 295 family caregivers of colorectal cancer patients from two major public hospitals (Henan Province, China) were analyzed. Caregiver burden, mutuality, and family resilience were assessed through Chinese versions of the Zarit Burden Interview (ZBI-C), the mutuality Scale (MS-C), and the Family Resilience Questionnaire (FaREQ-C). The structural equation model and multiple mediating effect test were applied to explore the interaction between caregiver burden, mutuality, and family resilience. RESULTS: Total and subscale scores of caregiver burden were negatively correlated with both mutuality (r = -0.54 to -0.32, P < 0.01) and family resilience (r = -0.60 to -0.26, P < 0.01). Family resilience and its four dimensions were positively correlated with mutuality (r = 0.17 to 0.51, P < 0.01). Mutuality served as a partial mediator between caregiver burden and family resilience. Caregiver burden had an indirect effect on family resilience through mutuality (ß = -0.157, 95%CI: -0.316, -0.046, P = 0.009). CONCLUSIONS: This study examined the interaction between caregiver burden, mutuality, and family resilience for colorectal cancer caring and confirmed the mediating role of mutuality in caregiver burden and family resilience. Therefore, we suggested that clinicians should develop strategies to improve the relationship between patients and caregivers so that both parties can actively manage stress and trauma experiences for improved colorectal cancer management.

Predicting cell-type specific disease genes of diabetes with the biological network.

Type 2 diabetes (T2D) is a chronic condition that can lead to significant harm, such as heart disease, kidney disease, nerve damage, and blindness. Although T2D-related genes have been identified through Genome-wide association studies (GWAS) and various computational methods, the biological mechanism of T2D at the cell type level remains unclear. Exploring cell type-specific genes related to T2D is essential to understand the cellular mechanisms underlying the disease. To address this issue, we introduce DiGCellNet (predicting Disease Genes with Cell type specificity based on biological Networks), a model that integrates graph convolutional network (GCN) and multi-task learning (MTL) to predict T2D-associated cell type-specific genes based on the biological network. Our work represents the first attempt to predict cell type-specific disease genes using GCN and MTL. We evaluate our approach by predicting genes specific to four cell types and demonstrate that the proposed DiGCellNet outperforms other models that combine node embeddings with traditional machine learning algorithms. Moreover, DiGCellNet successfully identifies CALM1 as a gene specific to beta cell type in T2D cases, and this association is confirmed using an independent dataset. The code is available at https://github.com/23AIBox/23AIBox-DiGCellNet.

Distributed genotyping and clustering of Neisseria strains reveal continual emergence of epidemic meningococcus over a century.

Core genome multilocus sequence typing (cgMLST) is commonly used to classify bacterial strains into different types, for taxonomical and epidemiological applications. However, cgMLST schemes require central databases for the nomenclature of new alleles and sequence types, which must be synchronized worldwide and involve increasingly intensive calculation and storage demands. Here, we describe a distributed cgMLST (dcgMLST) scheme that does not require a central database of allelic sequences and apply it to study evolutionary patterns of epidemic and endemic strains of the genus Neisseria. We classify 69,994 worldwide Neisseria strains into multi-level clusters that assign species, lineages, and local disease outbreaks. We divide Neisseria meningitidis into 168 endemic lineages and three epidemic lineages responsible for at least 9 epidemics in the past century. According to our analyses, the epidemic and endemic lineages experienced very different population dynamics in the past 100 years. Epidemic lineages repetitively emerged from endemic lineages, disseminated worldwide, and apparently disappeared rapidly afterward. We propose a stepwise model for the evolutionary trajectory of epidemic lineages in Neisseria, and expect that the development of similar dcgMLST schemes will facilitate epidemiological studies of other bacterial pathogens.