Dual-function paper-based biosensor for sensitive detection of hyaluronidase and human papillomavirus DNA using diffusion wet area as readout

Herein, a novel dual-function paper-based biosensor using diffusion wet area as readout has been developed for simple and sensitive detection of hyaluronidase (HAase) and human papillomavirus (HPV) 16 DNA, respectively. The target-regulated-water absorption hydrogel synthesized by hyaluronic acid (HA) and single-stranded DNA (ssDNA) is chosen as an ideal material for diffusion wet area generation on paper. The hydrogel can be degraded through the enzymolysis of HA by HAase or the trans-cleavage of ssDNA by HPV DNA-activated CRISPR/cas12a system. Then the diffusion wet area generated by the broken hydrogel with the free water released from the hydrogel dropped on the glass fiber filter paper can be captured by a smart-phone and calculated by the product of the pixel ratio (pixels of wet area/pixels of glass fiber filter paper) and actual area of the filter paper. The diffusion wet area has good linear relationships with HAase (0-40 U/mL) and HPV 16 DNA (0.1-1000 pM), respectively. The biosensor provides a novel signal readout mode, shows satisfactory sensitivity with the detection limits of 0.15 U/mL for HAase and 66.95 fM for HPV 16 DNA, and has been successfully used for HPV 16 DNA and HAase detection in clinical urine and cervical brush samples, which is promising for early cervical cancer screening and HPV monitoring in HPV patients.

Neoadjuvant chemotherapy combined with antiangiogenic therapy and immune checkpoint inhibitors for the treatment of locally advanced gastric cancer: a real - world retrospective cohort study

Background

Although immune checkpoint inhibitors (ICIs) and anti-angiogenic drugs have demonstrated effectiveness in treating advanced gastric cancer (GC), their role in neoadjuvant or conversion therapy remains uncertain. This study aimed to evaluate the efficacy and safety of combining neoadjuvant chemotherapy with anti-angiogenesis and ICIs in patients with locally advanced GC (LAGC).

Methods

In this cohort study, we reviewed our prospectively maintained GC database and included individuals diagnosed with clinical stage II-III GC who received neoadjuvant therapy followed by surgery between January 2022 and August 2023. The treatment protocol combined ICIs, anti-angiogenic therapy (specifically apatinib), and chemotherapy (S-1 with oxaliplatin). A systematic approach was used to document patients' clinical and pathological characteristics, pathological findings, and survival outcomes, which were subsequently analyzed in detail.

Results

A total of 38 individuals met the study's inclusion criteria, with the majority (32 patients, 84.2%) having clinical stage III GC. All participants underwent surgery, resulting in a notable R0 resection rate of 97.4%. The rates of major pathological response (MPR) and pathological complete response (pCR) were 47.4% and 23.7%, respectively. Post-surgery, 36 patients (92.1%) received adjuvant chemotherapy. With a median follow-up of 22 months, ten patients experienced disease recurrence, including three who died from tumor relapse. The 1-year overall survival (OS) rate stood at 100%, and the disease-free survival (DFS) rate was 94.7%, with median OS and DFS yet to be reached. The neoadjuvant therapy regimen was generally well-tolerated, with no grade 5 treatment-related adverse events (TRAEs) reported. Only one patient experienced a grade 4 TRAE (immune-related hepatitis), while the most common grade 3 TRAEs included thrombocytopenia, elevated aminotransferase levels, and neutropenia.

Conclusions

The combination of neoadjuvant chemotherapy, anti-angiogenic therapy, and ICIs has proven effective in treating LAGC patients, achieving high pCR rates and favorable survival outcomes while maintaining an acceptable safety profile.

Latexin (LXN) enhances tumor immune surveillance in mice by inhibiting Treg cells through the macrophage exosome pathway

Latexin (LXN) is a secreted protein with a molecular weight of 29 KD, which is considered a tumor suppressor and plays an important role in the inflammatory immune response. LXN is highly expressed in macrophages and regulates macrophage polarity and tumor immune escape, demonstrating excellent clinical potential. However, its mechanism is still unclear. In this study, a macrophage-T cell co-culture system is established to clarify the secretion of macrophage LXN into the extracellular through exosomes. The results indicate that LXN in macrophage-derived exosomes is functional, that is, LXN-enriched exosome inhibits CD4+T cell differentiation into Treg cells in vitro and in vivo, and exhibits good tumor suppressive effects. Based on this discovery, a biomimetic nanoparticle loaded with LXN protein (MØ@LXN-NPS) is designed and synthesized. Furthermore, the MØ@LXN-NPS shows excellent performance in both in vivo and in vitro, especially in enhancing tumor immune surveillance by inhibiting Treg cells in tumor microenvironment, thus exhibiting excellent anti-tumor activity. This study provides a demonstration for the transition of biomolecules from functional research to engineering applications. The excellent performance of MØ@LXN-NPS in tumor immune regulation suggests that the engineered biomimetic nanomedicine has good clinical application prospects.

Influences of plant maternal effects, chemotype, and environment on the leaf bacterial community

Plant individuals within a species can differ markedly in their leaf chemical composition, forming so-called chemotypes. Little is known about whether such differences impact the microbial communities associated with leaves and how different environmental conditions may shape these relationships. We used Tanacetum vulgare as a model plant to study the impacts of maternal effects, leaf terpenoid chemotype, and the environment on the leaf bacterial community by growing plant clones in the field and a greenhouse. We hypothesized that all three factors affect the bacterial community of the leaves and that terpenoid and bacterial profiles as well as chemodiversity and microbial diversity are correlated. The results revealed that the leaf microbial community was significantly influenced by plant maternal effects and environmental conditions (field vs. greenhouse), but not by the leaf terpenoid profile. There was also no evidence for a correlation between terpenoid profiles and bacterial community composition and diversity. Overall, a higher number of unique amplicon sequence variants were found in the leaves of clones grown under field conditions than in those grown in the greenhouse. We also identified interactions between individual terpenoids and specific members of the leaf bacterial community. Our study suggests that terpenoid chemodiversity has, overall, little effect on the leaf bacterial community, but some terpenoids might affect specific beneficial species. While more studies are needed to investigate the relationship between plant chemodiversity and plant microbiomes, our results highlight the importance of integrating plant maternal effects, chemodiversity, and environment in understanding plant-microbiome interactions.

CRISPR/Cas12a-Enabled Amplification-Free Colorimetric Visual Sensing Strategy for Point-of-Care Diagnostics of Biomarkers

CRISPR/Cas12a-based biosensors have garnered significant attention in the field of point-of-care testing (POCT), yet the majority of the CRISPR-based POCT methods employ fluorescent systems as report probes. Herein, we report a new CRISPR/Cas12a-enabled multicolor visual biosensing strategy for the rapid detection of disease biomarkers. The proposed assay provided vivid color responses to enhance the accuracy of visual detection. In the existence of the target, the trans-cleavage activity of CRISPR-Cas12a was activated. The report probe modified with magnetic beads (MBs) and horseradish peroxidase (HRP) was cleaved, and HRP was released in the supernatant. As a result, HRP mediated the etching of gold nanobipyramids (AuNBPs) under hydrogen peroxide and 3,3',5,5'-tetramethylbenzidine and generated a vivid color response. The proposed method has been verified by the detection of the breast cancer 1 gene (BRCA1) as a proof-of-principle target. According to the different colors of AuNBPs, our experimental results have demonstrated that as low as 30 pM BRCA1 can be detected with no more than 60 min. Additionally, the proposed sensor has been successfully applied in the analysis of BRCA1 in human serum samples with satisfactory results, which indicates great potential for the sensitive determination of biomarkers and the POCT area.

WITHDRAWN: Long Non-coding RNA XIST Impedes LPS-induced AC16 Cell Inflammation and Apoptosis through Down-regulating miR-370-3p and Regulating PI3K/AKT/mTOR Pathways

Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.

The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php

BENTHAM SCIENCE DISCLAIMER

It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Cholecystokinin (CCK) Is a Mediator Between Nutritional Intake and Gonadal Development in Teleosts

Nutritional intake is closely linked to gonadal development, although the mechanisms by which food intake affects gonadal development are not fully understood. Cholecystokinin (CCK) is a satiety neuropeptide derived from the hypothalamus, and the present study observed that hypothalamic CCK expression is significantly influenced by food intake, which is mediated through blood glucose levels. Interestingly, CCK and its receptors were observed to exhibit a high expression in the hypothalamus-pituitary-gonad (HPG) axis of grass carp (Ctenopharyngodon idellus), suggesting that CCK is potentially involved in regulating fish reproduction through the HPG axis. Further investigations revealed that CCK could significantly stimulate the expression of gonadotropin-releasing hormone-3 (GnRH3) in the hypothalamus. In addition, single-cell RNA sequencing showed that cckrb was highly enriched in pituitary follicle-stimulating hormone (FSH) cells. Further study confirmed that CCK can significantly induce FSH synthesis and secretion in primary cultured pituitary cells. Additionally, with primary cultured ovary cells as a model, the in vitro experiment demonstrated that CCK directly induces the expression of lhr, fshr, and cyp19a1a mRNA. This indicates that hypothalamic CCK may act as a nutrient sensor involved in regulating gonadal development in teleosts.

Assessing the Causal Effect of Circulating Protein-To-Protein Ratio on the Risk of Morbidity of Hepatocellular Carcinoma

OBJECTIVE

Several observational studies have identified an association between plasma proteins and hepatocellular carcinoma (HCC). This study aimed to explore the potential causal relationship between the circulating protein-to-protein ratio and the morbidity risk of HCC.

METHODS

Genetic association data for circulating plasma proteins and 2821 protein-to-protein ratios were sourced from the UKB PPP and Suhre's study. Genetic association data for HCC were sourced from the FinnGen cohort (finngen-R11-HCC) and the IEU OpenGWAS project (ieu-b-4953). Subsequently, a two-sample Mendelian randomization (MR) and drug-targeted MR approach were used to evaluate causality associations. To bolster the robustness of our findings, we conducted a series of sensitivity analyses.

RESULTS

Eight protein-protein pairs were identified as causal factors for HCC in the two independent cohorts. For each standard deviation increase in protein-protein pair expression, susceptibility to HCC fluctuated from 0.4974 (95% confidence interval [CI]: 0.2506-0.9871) for the LAT2/SPRY2 protein pair to 1.9763 (95% CI: 1.3009-3.0026) for the ERBIN/LAT2 protein pair. However, among the significant protein pairs, only one circulating protein, TDRKH (odds ratio: 0.5964, 95% CI: 0.4196-0.8476), was causally associated with HCC.

CONCLUSION

Using multiple datasets and methods, eight protein-protein pairs were identified as having causal associations with HCC. Protein-protein interactions can provide meaningful findings beyond simple pQTL analysis.

Genome-wide association study of metabolic traits in the giant duckweed Spirodela polyrhiza

The exceptionally high growth rate and high flavonoid content make the giant duckweed Spirodela polyrhiza (L.) Schleid. (Arales: Lemnaceae Martinov) an ideal organism for food production and metabolic engineering. To facilitate this, identification of the genetic basis underlying growth and metabolic traits is essential. Here, we analysed growth and content of 42 metabolites in 137 S. polyrhiza genotypes and characterized the genetics underpinning these traits using a genome-wide association (GWA) approach. We found that biomass positively correlated with the content of many free amino acids, including L-glutamine, L-tryptophan, and L-serine, but negatively correlated with specialized metabolites, such as flavonoids. GWA analysis showed that several candidate genes involved in processes such as photosynthesis, protein degradation, and organ development were jointly associated with multiple metabolic traits. The results suggest the above genes are suitable targets for simultaneous optimization of duckweed growth and metabolite levels. This study provides insights into the metabolic diversity of S. polyrhiza and its underlying genetic architecture, paving the way for industrial applications of this plant via targeted breeding or genetic engineering.

Predicting neuroendocrine neoplasm grade with dual tracer positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (18F-FDG) and 18F-AlF-NOTA-octreotide: a lesion-based analysis

AIM

The aim of this study was to investigate the ability of dual tracer positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (18F-FDG) and 18F-AlF-NOTA-octreotide (18F-OC) in predicting neuroendocrine neoplasm (NEN) grade. The lesions that have been histologically confirmed were accurately located using both 18F-FDG and 18F-OC PET/CT.

MATERIALS AND METHODS

For each lesion, the standardized uptake value (SUV)max was measured, and tumor-to-background ratio was calculated by dividing the SUVmax by the SUVmean of background tissue at the two scans. SUVR was calculated by dividing the SUVmax of the lesion at 18F-OC PET/CT by the SUVmax at 18F-FDG PET/CT. For evaluating the correlation between continuous variables and lesion grade, the Spearman rank correlation test was used. Receiver operating characteristic (ROC) curve was used to evaluate the performance of PET/CT parameter in discriminating lesions of different grades.

RESULTS

A total of 49 patients (22 males, 27 females; mean age: 56.5 ± 14.3 years; range: 14-85 years) and 65 lesions were included in this study. A substantial correlation was observed between SUVR and lesion grade (rho = -0.655, p < 0.001), better than other PET/CT parameters. For discriminating G1/2 neuroendocrine tumor (NET) from G3 NET and neuroendocrine carcinoma (NEC), SUVR had the largest area under ROC curve (AUC) of 0.88. With the cut-off value of 2.217, we got the best Youden's index, 0.668. For discriminating G1/2/3 NET from NEC, SUVR and OC SUVmax had the largest AUC of 0.923. With the cut-off value of OC SUVmax of 4.35, we got the best Youden's index, 0.805.

CONCLUSION

This study suggests that 18F-FDG and 18F-OC PET/CT are complementary in evaluating the grade of NEN and that SUVR is a promising tool for predicting NEN grade.

Collagen signature adds prognostically significant information to staging for breast cancer

BACKGROUND

Tumor-associated collagen signature (TACS) is an independent prognostic factor for breast cancer. However, it is unclear whether the complete collagen signature, including TACS, the TACS-based collagen microscopic features (TCMF1), and the TACS-based nuclear features (TCMF2), can provide additional prognostic information for the current tumor-node-metastasis (TNM) staging system.

PATIENTS AND METHODS

We included 941 patients with breast cancer from three cohorts: the training (n = 355), internal (n = 334), and external validation cohorts (n = 252). TACS and TCMF1 were obtained by multiphoton microscopy (MPM). TCMF2 was extracted on the hematoxylin and eosin images colocated with MPM images. They were linearly combined to establish a complete collagen signature score for reclassifying current TNM staging into stage Ⅰ (II and Ⅲ)/low risk and stage Ⅰ (II and Ⅲ)/high risk.

RESULTS

The low-risk collagen signatures 'downstaged' patients in stage II or Ⅲ, while the high-risk collagen signatures 'upstaged' patients with stage Ⅰ tumors. After incorporating the complete collagen signature into the current TNM staging system, the modified staging system had a higher ability to stratify patients [referent, Ⅰ-new; Ⅱ-new, hazard ratio (HR) 8.655, 6.136, and 4.699 in the training, internal validation, and external validation cohorts, respectively; Ⅲ-new, HR 14.855, 11.201, and 13.245 in the corresponding three cohorts, respectively] than the current TNM staging system (referent, Ⅰ; Ⅱ, HR 1.642, 1.853, and 1.371 in the corresponding three cohorts, respectively; Ⅲ, HR 4.131, 4.283, and 3.711 in the corresponding three cohorts, respectively). Furthermore, the modified staging system showed a higher area under the curve than the current TNM staging system (training cohort: 0.843 versus 0.683; internal validation cohort: 0.792 versus 0.661; and external validation cohort: 0.793 versus 0.646).

CONCLUSIONS

The complete collagen signature is an independent predictor of survival outcomes in breast cancer. It adds significant information about the biological behavior of the disease to staging for breast cancer.

MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates

Data-driven decision-making has become crucial across various domains. Randomization and re-randomization are standard techniques employed in controlled experiments to estimate causal effects in the presence of numerous pre-treatment covariates. This paper quantifies the worst-case mean squared error of the difference-in-means estimator as a generalized discrepancy of covariates between treatment and control groups. We demonstrate that existing randomized or re-randomized experiments utilizing Monte Carlo methods are sub-optimal in minimizing this generalized discrepancy. To address this limitation, we introduce a novel optimal deterministic experiment based on quasi-Monte Carlo techniques, which effectively minimizes the generalized discrepancy in a model-independent manner. We provide a theoretical proof indicating that the difference-in-means estimator derived from the proposed experiment converges more rapidly than those obtained from completely randomized or re-randomized experiments using Mahalanobis distance. Simulation results illustrate that the proposed experiment significantly reduces covariate imbalances and estimation uncertainties when compared to existing randomized and deterministic approaches. In summary, the proposed experiment serves as a reliable and effective framework for controlled experimentation in causal inference.

Impact of high body mass index on gallbladder and biliary tract cancer burden in China: a comprehensive analysis of trends from 1990 to 2021

BACKGROUND

Gallbladder and biliary tract cancer (GBTC) is a significant health burden in China, exacerbated by the rising prevalence of high body mass index (BMI). Understanding the trends and factors contributing to mortality and disability associated with GBTC is crucial for targeted public health interventions.

METHODS

We utilized data from the Global Burden of Disease (GBD) Study to assess the burden of GBTC attributable to high BMI in China from 1990 to 2021. Age-standardized rates of deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) were analyzed. Joinpoint regression and decomposition analyses were conducted to evaluate trends and identify contributing factors, including aging, population growth, and epidemiological changes. Gender-specific differences were also assessed.

RESULTS

In 2021, GBTC deaths attributable to high BMI in China reached 4,053, with males experiencing a higher overall burden than females, particularly in older age groups. While females showed a higher mortality and overall burden in the 60 to 79 age range, this trend reversed in older age brackets, with males experiencing steeper increases in mortality and disability-related indicators beyond age 80. The age-standardized DALYs rate mirrored this pattern, with higher rates in males in advanced age groups. From 1990 to 2021, China saw a steady increase in GBTC burden attributable to high BMI, contrasting with a global decline. Joinpoint analysis indicated marked rises in mortality and DALYs rates after 2005, especially in males. Decomposition analysis identified population growth and aging as major drivers of increased deaths, while epidemiological changes primarily contributed to rising DALYs, with a stronger impact observed in males.

CONCLUSIONS

The burden of GBTC attributable to high BMI in China has increased substantially over the last three decades, driven by population growth, aging, and epidemiological shifts. The trends highlight a growing gender disparity, with males experiencing a greater rise in mortality and disability. Public health strategies targeting obesity and metabolic risk factors are critical to mitigating the increasing GBTC burden.

Recent and Recurrent Autopolyploidization Fueled Diversification of Snow Carp on the Tibetan Plateau

Whole-genome duplication (WGD), or polyploidization, is a major contributor to biodiversity. However, the establishment and survival of WGDs are often considered to be stochastic, since elucidating the processes of WGD establishment remains challenging. In the current study, we explored the processes leading to polyploidy establishment in snow carp (Cyprinidae: Schizothoracinae), a predominant component of the ichthyofauna of the Tibetan Plateau and its surrounding areas. Using large-scale genomic data from isoform sequencing, we analyzed ohnolog genealogies and divergence in hundreds to thousands of gene families across major snow carp lineages. Our findings demonstrated that independent autopolyploidization subsequent to speciation was prevalent, while autopolyploidization followed by speciation also occurred in the diversification of snow carp. This was further supported by matrilineal divergence and drainage evolution evidence. Contrary to the long-standing hypothesis that ancient polyploidization preceded the diversification of snow carp, we determined that polyploidy in extant snow carp was established by recurrent autopolyploidization events during the Pleistocene. These findings indicate that the diversification of extant snow carp resembles a coordinated duet: first, the uplift of the Tibetan Plateau orchestrated the biogeography and diversification of their diploid progenitors; then, the extensive Pliocene-Pleistocene climate changes acted as relay runners, further fueling diversification through recurrent autopolyploidization. Overall, this study not only reveals a hitherto unrecognized recent WGD lineage in vertebrates but also advances current understanding of WGD processes, emphasizing that WGD establishment is a nonstochastic event, emerging from numerous adaptations to environmental challenges and recurring throughout evolutionary history rather than merely in plants.

Carboxypeptidase inhibitor Latexin (LXN) regulates intestinal organogenesis and intestinal remodeling involved in intestinal injury repair in mice

The self-renewal and regeneration of intestinal epithelium are mainly driven by intestinal stem cells resided in crypts, which are crucial for rapid recovery intestinal tissue following injury. Latexin (LXN) is a highly expressed stem cell proliferation and differentiation related gene in intestinal tissue. However, it is still ambiguous whether LXN participates in intestine regeneration by regulating intestinal stem cells (ISCs). Here, we report that LXN colocalizes with Leucine-rich repeat-containing G-protein coupled receptor 5 (Lgr5) in intestinal crypts, and deletion of LXN upregulates the expression of Lgr5 in intestinal crypts. LXN deficiency promotes the proliferation of ISCs, thereby enhances the development of intestinal organoids. Mechanically, we show that LXN deficiency enhances the expression of Lgr5 in ISCs by activating the Yes-associated protein (YAP) and wingless (Wnt) signal pathways, thus accelerating intestinal normal growth and regeneration post-injury. In summary, these findings uncover a novel function of LXN in intestinal regeneration post-injury and intestinal organogenesis, suggesting the potential role of LXN in the treatment of inflammatory bowel diseases.

Circular RNA circWBSCR22 facilitates colorectal cancer metastasis by enhancing CHD4's protein stability

Widespread metastases continue to be a massive challenge for colorectal cancer (CRC) therapy and contribute to the high mortality rate in patients with CRC. Circular RNAs (circRNAs) are a novel group of endogenous RNAs identified as agents modulating tumorigenesis and aggressiveness with tissue heterogeneity. However, the biological functions of circRNAs in CRC metastasis remain largely unknown. Here, we identified that circWBSCR22, a novel circRNA back-spliced from the WBSCR22 pre-mRNA, was significantly elevated in CRC tissue compared with adjacent normal tissue. Further gain- and loss-of-function assays manifested that circWBSCR22 promotes epithelial-mesenchymal transition (EMT) and metastasis in vitro and in vivo, which are mediated by the chromodomain helicase-DNA-binding protein 4 (CHD4) protein. Mechanically, circWBSCR22 binds directly to up-frameshift protein 1 (UPF1), an RNA binding protein recognized for its function in RNA surveillance, and hinders its role in directing CHD4 protein ubiquitination for degradation. Consequently, by stabilizing the CHD4 protein, circWBSCR22 hastens the development and metastasis of CRC. Therefore, our findings first delineate the oncogenic role and mechanism of circWBSCR22 in CRC growth and metastasis and its potential to serve as a therapeutic target for CRC.

Identification of a pyroptosis-related long noncoding RNA signature for determining the prognosis and immune status of hepatocellular carcinoma patients

BACKGROUND

Despite improvements in cancer screening and diagnosis, hepatocellular carcinoma (HCC) is still diagnosed at an advanced stage, and the prognosis is worse than that of early HCC patients. Therefore, better molecular markers and therapeutic targets in HCC are required.

OBJECTIVES

We investigated the predictive value of pyroptosis-related long noncoding RNAs (lncRNAs) in HCC and the effects of these lncRNAs on the immune microenvironment of HCC.

MATERIAL AND METHODS

RNA sequencing data of HCC patients were extracted from The Cancer Genome Atlas (TCGA) database to identify differentially expressed pyroptosis-related lncRNAs related to overall survival (OS). A model was established to verify the character of pyroptosis-associated lncRNAs in the tumor microenvironment, and their prognostic value was evaluated.

RESULTS

A total of 721 PR lncRNAs were identified based on the analysis of the TCGA database. Univariate Cox analysis revealed 37 survival-related PRlncRNAs with prognostic values. As a result of least absolute shrinkage and selection operator (LASSO) regression analysis, 'ELFN-AS1', AC099850.3, AC073389.3, 'HPN-AS1', AC009283.1, and AL139289.1 showed prognostic value. Kaplan-Meier analysis indicated that the OS of the high-risk set was worse than those of the low-risk set in both the training and testing cohorts. Univariate and multivariate analyses revealed that the risk score was a better independent prognostic factor than the stage. The precision of the lncRNA signature was confirmed using receiver operating characteristic curve (ROC) analysis. Immuneand metabolism-related pathways were enriched in both the lowand high-risk groups. Gene set enrichment analysis suggested that the identified lncRNAs regulate HCC tumorigenesis and prognosis by modulating metabolism. Various algorithms were used to confirm the significant differences in immune cells between these 2 groups.

CONCLUSIONS

These findings could contribute to the development and validation of favorable biomarkers, improve the prognosis and survival of HCC, and help in developed individualized treatment plans for HCC.

Latexin deficiency limits foam cell formation and ameliorates atherosclerosis by promoting macrophage phenotype differentiation

Latexin (LXN) is abundant in macrophages and plays critical roles in inflammation. Much is known about macrophages in atherosclerosis, the role of macrophage LXN in atherosclerosis has remained elusive. Here, the expression of LXN in human and mouse atherosclerotic lesions was examined by immunofluorescence and immunohistochemistry. LXN knockout and LXN/ApoE double-knockout mice were generated to evaluate the functions of LXN in atherosclerosis. Bone marrow transplantation (BMT) experimentation was carried out to determine whether macrophage LXN regulates atherosclerosis. We found that LXN is enriched in human and murine atherosclerotic lesions, mainly localized to macrophages. LXN deletion ameliorated atherosclerosis in ApoE-/- mice. BMT demonstrate that deletion of LXN in bone marrow protects ApoE-/- mice against atherosclerosis. Mechanistically, we found that LXN targets and inhibits JAK1 in macrophages. LXN deficiency stimulates the JAK1/STAT3/ABC transporter pathway, thereby enhancing the anti-inflammatory and anti-oxidant phenotype, cholesterol efflux, subsequently minimizing foam cell formation and atherosclerosis. Gene therapy by treatment of atherosclerotic mice with adeno-associated virus harbouring LXN-depleting shRNA attenuated the disease phenotype. In summary, our study provides new clues for the role of LXN in the pathological regulation of atherosclerosis, and determines that LXN is a target for preventing atherosclerosis, which may be a potential new anti-atherosclerosis therapeutic target.

HES6 Mediates Oxidative Phosphorylation Pathway to Promote Immune Infiltration of CD8 + T Cells in Lung Adenocarcinoma

Tumor immunotherapy has recently gained popularity as a cancer treatment strategy. The molecular mechanism controlling immune infiltration in lung adenocarcinoma (LUAD) cells, however, is not well characterized. Investigating the immune infiltration modulation mechanism in LUAD is crucial. LUAD patient samples were collected, and HES6 expression and immune infiltration level of CD8 + T cells in patient tissues were analyzed. Bioinformatics was utilized to identify binding relationship between E2F1 and HES6, and enrichment pathway of HES6. The binding of E2F1 to HES6 was verified using dual-luciferase and ChIP experiments. HES6 and E2F1 expression in LUAD cells was detected. LUAD cells were co-cultured with CD8 + T cells, and the CD8 + T cell killing level, IFN-γ secretion, and CD8 + T-cell chemotaxis level were measured. Expression of key genes involved in oxidative phosphorylation was detected, and the oxygen consumption rate of LUAD cells was assessed. A mouse model was constructed to assay Ki67 expression and apoptosis in tumor tissue. High expression of HES6 promoted CD8 + T-cell infiltration and enhanced T-cell killing ability through oxidative phosphorylation. Further bioinformatics analysis, molecular experiments, and cell experiments verified that E2F1 negatively regulated HES6 by oxidative phosphorylation, which suppressed CD8 + T-cell immune infiltration. In addition, in vivo assays illustrated that silencing HES6 repressed tumor cell immune evasion. E2F1 inhibited HES6 transcription, thereby mediating oxidative phosphorylation to suppress immune infiltration of CD8 + T cells in LUAD. The biological functions and signaling pathways of these genes were analyzed, which may help to understand the possible mechanisms regulating immune infiltration in LUAD.

Plant reproduction: Mangroves use 'child-care' in extreme environments

Using population genomics and molecular biological methods, a recent study reveals the molecular mechanisms of vivipary in mangroves, a term designating all woody plants of the tropical intertidal zones.

Differential performance regarding the relationship of C3-epi-25(OH)D3 levels and %C3-epi-25(OH)D3 with common pediatric diseases: a case control study

BACKGROUND

Recently, the C3-epimer of 25-hydroxyvitamin D [C3-epi-25(OH)D] has become a topic of interest among 25-hydroxyvitamin D [25(OH)D] metabolites. Although it can lead to an overestimation of vitamin D storage, its relationship with disease occurrence remains controversial, possibly related to the great extent of tracking of 25(OH)D by C3-epi-25(OH)D over time. This study aimed to investigate the differential performance of C3-epi-25(OH)D3 and its percentage [%C3-epi-25(OH)D3] with respect to 20 common paediatric diseases.

METHODS

This study involved 805 healthy children and adolescents and 2962 patients with common paediatric diseases. We investigated sex, age, and seasonal differences in C3-epi-25(OH)D3 and %C3-epi-25(OH)D3 levels; their variations on 20 common paediatric diseases; and their degree of correlation with 25(OH)D3 levels and various diseases.

RESULTS

Among the healthy underage participants, C3-epi-25(OH)D3 and %C3-epi-25(OH)D3 changed similarly, with no sex differences. Moreover, their levels were higher in the infant period than in the other periods (t = 5.329-5.833, t = 4.640-5.711, all Padj < 0.001), and in spring and summer than in autumn and winter (t = 3.495-6.061, t = 3.495-5.658, all Padj < 0.01). Under healthy and disease conditions, C3-epi-25(OH)D3 was positively correlated with 25(OH)D3 (ρ = 0.318 ~ 0.678, all P < 0.017), whereas %C3-epi-25(OH)D3 was not, except in patients with nephrotic syndrome (ρ=-0.393, P = 0.001). Before and after adjusting for 25(OH)D3, the relationship of C3-epi-25(OH)D3 with the diseases was notably different. However, it was almost consistent for %C3-epi-25(OH)D3. Our results indicated that %C3-epi-25(OH)D3 was associated with short stature, nephrotic syndrome, lymphocytic leukaemia, rickets, paediatric malnutrition, and hypovitaminosis D (OR = 0.80 ~ 1.21, all P < 0.05).

CONCLUSIONS

The %C3-epi-25(OH)D3 can correct the properties of C3-epi-25(OH)D3 to better track 25(OH)D3 and may be more suitable for exploring its pathological relevance. Further detailed studies of each disease should be conducted.

Integrating machine learning for the optimization of polyacrylamide/alginate hydrogel

Hydrogels are highly promising due to their soft texture and excellent biocompatibility. However, the designation and optimization of hydrogels involve numerous experimental parameters, posing challenges in achieving rapid optimization through conventional experimental methods. In this study, we leverage machine learning algorithms to optimize a dual-network hydrogel based on a blend of acrylamide (AM) and alginate, targeting applications in flexible electronics. By treating the concentrations of components as experimental parameters and utilizing five material properties as evaluation criteria, we conduct a comprehensive property assessment of the material using a linear weighting method. Subsequently, we design a series of experimental plans using the Bayesian optimization algorithm and validate them experimentally. Through iterative refinement, we optimize the experimental parameters, resulting in a hydrogel with superior overall properties, including heightened strain sensitivity and flexibility. Leveraging the available experimental data, we employ a classification algorithm to separate the cutoff data. The feature importance identified by the classification model highlights the pronounced impact of AM, ammonium persulfate, and N,N-methylene on the classification outcomes. Additionally, we develop a regression model and demonstrate its utility in predicting and analyzing the relationship between experimental parameters and hydrogel properties through experimental validation.

Recent developments and new directions in the use of natural products for the treatment of inflammatory bowel disease

BACKGROUND

Inflammatory bowel disease (IBD) represents a significant global health challenge, and there is an urgent need to explore novel therapeutic interventions. Natural products have demonstrated highly promising effectiveness in the treatment of IBD.

PURPOSE

This study systematically reviews the latest research advancements in leveraging natural products for IBD treatment.

METHODS

This manuscript strictly adheres to the PRISMA guidelines. Relevant literature on the effects of natural products on IBD was retrieved from the PubMed, Web of Science and Cochrane Library databases using the search terms "natural product," "inflammatory bowel disease," "colitis," "metagenomics", "target identification", "drug delivery systems", "polyphenols," "alkaloids," "terpenoids," and so on. The retrieved data were then systematically summarized and reviewed.

RESULTS

This review assessed the different effects of various natural products, such as polyphenols, alkaloids, terpenoids, quinones, and others, in the treatment of IBD. While these natural products offer promising avenues for IBD management, they also face challenges in terms of clinical translation and drug discovery. The advent of metagenomics, single-cell sequencing, target identification techniques, drug delivery systems, and other cutting-edge technologies heralds a new era in overcoming these challenges.

CONCLUSION

This paper provides an overview of current research progress in utilizing natural products for the treatment of IBD, exploring how contemporary technological innovations can aid in discovering and harnessing bioactive natural products for the treatment of IBD.