Comparative analysis of in-silico tools in identifying pathogenic variants in dominant inherited retinal diseases.

Inherited retinal diseases (IRDs) are a group of rare genetic eye conditions that cause blindness. Despite progress in identifying genes associated with IRDs, improvements are necessary for classifying rare autosomal dominant (AD) disorders. AD diseases are highly heterogenous, with causal variants being restricted to specific amino acid changes within certain protein domains, making AD conditions difficult to classify. Here, we aim to determine the top-performing in-silico tools for predicting the pathogenicity of AD IRD variants. We annotated variants from ClinVar and benchmarked 39 variant classifier tools on IRD genes, split by inheritance pattern. Using area-under-the-curve (AUC) analysis, we determined the top-performing tools and defined thresholds for variant pathogenicity. Top-performing tools were assessed using genome sequencing on a cohort of participants with IRDs of unknown etiology. MutScore achieved the highest accuracy within AD genes, yielding an AUC of 0.969. When filtering for AD gain-of-function and dominant negative variants, BayesDel had the highest accuracy with an AUC of 0.997. Five participants with variants in NR2E3, RHO, GUCA1A, and GUCY2D were confirmed to have dominantly inherited disease based on pedigree, phenotype, and segregation analysis. We identified two uncharacterized variants in GUCA1A (c.428T>A, p.Ile143Thr) and RHO (c.631C>G, p.His211Asp) in three participants. Our findings support using a multi-classifier approach comprised of new missense classifier tools to identify pathogenic variants in participants with AD IRDs. Our results provide a foundation for improved genetic diagnosis for people with IRDs.

Hepatitis B virus e antigen induces atypical metabolism and differentially regulates programmed cell deaths of macrophages.

Macrophages can undergo M1-like proinflammatory polarization with low oxidative phosphorylation (OXPHOS) and high glycolytic activities or M2-like anti-inflammatory polarization with the opposite metabolic activities. Here we show that M1-like macrophages induced by hepatitis B virus (HBV) display high OXPHOS and low glycolytic activities. This atypical metabolism induced by HBV attenuates the antiviral response of M1-like macrophages and is mediated by HBV e antigen (HBeAg), which induces death receptor 5 (DR5) via toll-like receptor 4 (TLR4) to induce death-associated protein 3 (DAP3). DAP3 then induces the expression of mitochondrial genes to promote OXPHOS. HBeAg also enhances the expression of glutaminases and increases the level of glutamate, which is converted to α-ketoglutarate, an important metabolic intermediate of the tricarboxylic acid cycle, to promote OXPHOS. The induction of DR5 by HBeAg leads to apoptosis of M1-like and M2-like macrophages, although HBeAg also induces pyroptosis of the former. These findings reveal novel activities of HBeAg, which can reprogram mitochondrial metabolism and trigger different programmed cell death responses of macrophages depending on their phenotypes to promote HBV persistence.

TMEM16A inhibits autophagy and promotes the invasion of hypopharyngeal squamous cell carcinoma through mTOR pathway.

Previous studies have indicated that transmembrane protein 16A (TMEM16A) plays a crucial role in the pathogenesis and progression of various tumors by influencing multiple signaling pathways. However, the role of TMEM16A in regulating autophagy via the mammalian target of rapamycin (mTOR) pathway and its impact on the development of hypopharyngeal squamous cell carcinoma (HSCC) remain unclear. Immunohistochemistry and western blotting were used to assess the expression of TMEM16A in HSCC tissues and metastatic lymph nodes. Manipulation of TMEM16A expression levels was achieved in the FaDu cell line through overexpression or knockdown, followed by assessment of its biological effects using cell colony formation, wound healing, transwell and invasion assays. Additionally, apoptosis and autophagy-related proteins, as well as autophagosome formation, were evaluated through western blotting, transmission electron microscopy and immunofluorescence following TMEM16A knockdown or overexpression in FaDu cells. Our study revealed significantly elevated levels of TMEM16A in both HSCC tissues and metastatic lymph nodes compared with normal tissues. In vitro experiments demonstrated that silencing TMEM16A led to a notable suppression of HSCC cell proliferation, invasion and migration. Furthermore, TMEM16A silencing effectively inhibited tumor growth in xenografted mice. Subsequent investigations indicated that knockdown of TMEM16A in HSCC cells could suppress mTOR activation, thereby triggering autophagic cell death by upregulating sequestosome-1 (SQSTM1/P62) and microtubule-associated protein light chain 3 II (LC3II). This study highlights the crucial role of TMEM16A in modulating autophagy in HSCC, suggesting its potential as a therapeutic target for the treatment of this malignancy.

A single cell RNA sequence atlas of the early Drosophila larval eye.

The Drosophila eye has been an important model to understand principles of differentiation, proliferation, apoptosis and tissue morphogenesis. However, a single cell RNA sequence resource that captures gene expression dynamics from the initiation of differentiation to the specification of different cell types in the larval eye disc is lacking. Here, we report transcriptomic data from 13,000 cells that cover six developmental stages of the larval eye. Our data show cell clusters that correspond to all major cell types present in the eye disc ranging from the initiation of the morphogenetic furrow to the differentiation of each photoreceptor cell type as well as early cone cells. We identify dozens of cell type-specific genes whose function in different aspects of eye development have not been reported. These single cell data will greatly aid research groups studying different aspects of early eye development and will facilitate a deeper understanding of the larval eye as a model system.

Loss-of-function variants in UBAP1L cause autosomal recessive retinal degeneration.

PURPOSE: Inherited retinal diseases (IRDs) are a group of monogenic conditions that can lead to progressive blindness. Their missing heritability is still considerable, due in part to the presence of disease genes that await molecular identification. The purpose of this work was to identify novel genetic associations with IRDs. METHODS: Patients underwent a comprehensive ophthalmological evaluation using standard-of-care tests, such as detailed retinal imaging (macular optical coherence tomography and short-wavelength fundus autofluorescence) and electrophysiological testing. Exome and genome sequencing, as well as computer-assisted data analysis were used for genotyping and detection of DNA variants. A minigene-driven splicing assay was performed to validate the deleterious effects of 1 of such variants. RESULTS: We identified 8 unrelated families from Hungary, the United States, Israel, and The Netherlands with members presenting with a form of autosomal recessive and nonsyndromic retinal degeneration, predominantly described as rod-cone dystrophy but also including cases of cone/cone-rod dystrophy. Age of disease onset was very variable, with some patients experiencing first symptoms during their fourth decade of life or later. Myopia greater than 5 diopters was present in 5 of 7 cases with available refractive data, and retinal detachment was reported in 2 cases. All ascertained patients carried biallelic loss-of-function variants in UBAP1L (HGNC: 40028), a gene with unknown function and with homologies to UBAP1, encoding a protein involved in ubiquitin metabolism. One of these pathogenic variants, the intronic NM_001163692.2:c.910-7G>A substitution, was identified in 5 unrelated families. Minigene-driven splicing assays in HEK293T cells confirmed that this DNA change is responsible for the creation of a new acceptor splice site, resulting in aberrant splicing. CONCLUSION: We identified UBAP1L as a novel IRD gene. Although its function is currently unknown, UBAP1L is almost exclusively expressed in photoreceptors and the retinal pigment epithelium, hence possibly explaining the link between pathogenic variants in this gene and an ocular phenotype.

10× single-cell sequencing revealed cellular composition heterogeneity in cardiac myxoma with malignant glandular properties.

Cardiac myxoma is the most common primary cardiac tumor in adults. The histogenesis and cellular composition of myxoma are still unclear. This study aims to reveal the role of myxoma cell components and their gene expression in tumor development. We obtained single living cells by enzymatic digestion of tissues from 4 cases of surgically resected cardiac myxoma. Of course, there was 1 case of glandular myxoma and 3 cases of nonglandular myxoma. Then, 10× single-cell sequencing was performed. We identified 12 types and 11 types of cell populations in glandular myxoma and nonglandular myxoma, respectively. Heterogeneous epithelial cells are the main components of glandular myxoma. The similarities and differences in T cells in both glandular and nonglandular myxoma were analyzed by KEGG and GO. The most important finding was that there was active communication between T cells and epithelial cells. These results clarify the possible tissue occurrence and heterogeneity of cardiac myxoma and provide a theoretical basis and guidance for clinical diagnosis and treatment.

A multicentre randomized double-blind placebo-controlled phase III study of the efficacy and safety of xeligekimab (GR1501) in patients with moderate-to-severe plaque psoriasis.

BACKGROUND: Xeligekimab (GR1501) is a fully human monoclonal antibody that selectively neutralizes interleukin (IL)-17A and has shown potential efficacy in treating moderate-to-severe psoriasis in preliminary trials. OBJECTIVES: To evaluate the efficacy and safety of xeligekimab in Chinese patients with moderate-to-severe psoriasis. METHODS: A total of 420 Chinese patients were randomized to 200 mg xeligekimab every 2 weeks (n = 281) or placebo (n = 139) for the first 12 weeks, followed by an extension of the treatment schedule to xeligekimab every 4 weeks for a further 40 weeks. Efficacy was assessed by evaluating achievement of Physician Global Assessment (PGA) 0/1 and 75%, 90% and 100% improvement in Psoriasis Area and Severity Index (PASI 75, PASI 90 and PASI 100, respectively). The safety profile was also evaluated. RESULTS: At week 12, PASI 75, PASI 90 and PASI 100 were achieved in 90.7%, 74.4% and 30.2% of patients in the xeligekimab group vs. 8.6%, 1.4% and 0% of patients in the placebo group, respectively. PGA 0/1 was achieved in 74.4% patients in the xeligekimab group and 3.6% of patients in the placebo group. PASI 75 and PGA 0/1 were maintained until week 52. No unexpected adverse events were recorded. CONCLUSIONS: Xeligekimab showed high efficacy and was well tolerated in Chinese patients with moderate-to-severe plaque psoriasis.

Psoriasis is a skin disease characterized by scaly and raised patches of skin on any part of the body. The condition can be caused by a combination of how a person's immune system works, their genes and their environment. A cytokine is a substance secreted by certain cells of the immune system that have an effect on other cells. One such cytokine, called IL-17A, has been associated with different inflammatory diseases, including psoriasis. We conducted a large trial in Chinese people with moderate-to-severe psoriasis to look at the efficacy (ability to produce the intended result) and safety of a medicine called xeligekimab (known as a 'monoclonal antibody') which works by targeting IL-17A. We randomly assigned 420 Chinese patients to receive 200 mg of xeligekimab every 2 weeks or a 'placebo' (no active medicine) for the first 12 weeks. We extended the treatment schedule of xeligekimab to every 4 weeks for a further 40 weeks. To assess how the medicine worked, we measured people's psoriasis symptoms and severity. To assess how safe the medicine was, we looked at the side-effects (or 'adverse events'). The results of this trial showed that xeligekimab improved people's psoriasis and itching starting at week 4 of receiving treatment, and more than 60% of people achieved improvement or remission by week 6, which was sustained up to week 52. The safety of xeligekimab was similar to another medicine classed as a monoclonal antibody (called secukinumab) and there were no new or unexpected adverse events reported. Overall, our findings suggest that xeligekimab is a safe and effective medicine for the treatment of psoriasis in Chinese people.

The dynamic role of nucleoprotein SHCBP1 in the cancer cell cycle and its potential as a synergistic target for DNA-damaging agents in cancer therapy.

BACKGROUND: Malignant tumours seriously threaten human life and health, and effective treatments for cancer are still being explored. The ability of SHC SH2 domain-binding protein 1 (SHCBP1) to induce cell cycle disturbance and inhibit tumour growth has been increasingly studied, but its dynamic role in the tumour cell cycle and corresponding effects leading to mitotic catastrophe and DNA damage have rarely been studied. RESULTS: In this paper, we found that the nucleoprotein SHCBP1 exhibits dynamic spatiotemporal expression during the tumour cell cycle, and SHCBP1 knockdown slowed cell cycle progression by inducing spindle disorder, as reflected by premature mitotic entry and multipolar spindle formation. This dysfunction was caused by G2/M checkpoint impairment mediated by downregulated WEE1 kinase and NEK7 (a member of the mammalian NIMA-related kinase family) expression and upregulated centromere/kinetochore protein Zeste White 10 (ZW10) expression. Moreover, both in vivo and in vitro experiments confirmed the significant inhibitory effects of SHCBP1 knockdown on tumour growth. Based on these findings, SHCBP1 knockdown in combination with low-dose DNA-damaging agents had synergistic tumouricidal effects on tumour cells. In response to this treatment, tumour cells were forced into the mitotic phase with considerable unrepaired DNA lesions, inducing mitotic catastrophe. These synergistic effects were attributed not only to the abrogation of the G2/M checkpoint and disrupted spindle function but also to the impairment of the DNA damage repair system, as demonstrated by mass spectrometry-based proteomic and western blotting analyses. Consistently, patients with low SHCBP1 expression in tumour tissue were more sensitive to radiotherapy. However, SHCBP1 knockdown combined with tubulin-toxic drugs weakened the killing effect of the drugs on tumour cells, which may guide the choice of chemotherapeutic agents in clinical practice. CONCLUSION: In summary, we elucidated the role of the nucleoprotein SHCBP1 in tumour cell cycle progression and described a novel mechanism by which SHCBP1 regulates tumour progression and through which targeting SHCBP1 increases sensitivity to DNA-damaging agent therapy, indicating its potential as a cancer treatment.

Rapid and selective RRS determination of ferrocyanide with a nanogold surface molecularly imprinted polymethacrylic acid probe.

In this work, a nanogold surface molecularly imprinted polymer spectral probe (AuNP@MIP) for selectively identifying ferrocyanide was prepared under microwave irradiation using nanogold as the core, ferrocyanide as the template ion, methacrylic acid as the monomer, and ethylene glycol dimethacrylate as the cross-linking agent. AuNP@MIP was found to produce a resonance Rayleigh scattering (RRS) peak at 370 nm. When potassium ferrocyanide (K4Fe(CN)6) was present, a AuNP@MIP-Fe(CN)6 complex was formed, producing RRS-energy transfer (RRS-ET). With an increase in ferrocyanide concentration within a certain range, the RRS intensity at 370 nm decreased linearly, and the detection range was 0.02-0.40 µmol L-1, with a detection limit as low as 0.006 µmol L-1 ferrocyanide. This new method has the advantages of simplicity, rapidity, and selectivity when applied for the determination of K4Fe(CN)6 in table salt.

Atypical absence seizures and gene variants: A gene-based review of etiology, electro-clinical features, and associated epilepsy syndrome.

Atypical absence seizures are generalized non-convulsive seizures that often occur in children with cognitive impairment. They are common in refractory epilepsy and have been recognized as one of the hallmarks of developmental epileptic encephalopathies. Notably, pathogenic variants associated with AAS, such as GABRG2, GABRG3, SLC6A1, CACNB4, SCN8A, and SYNGAP1, are also linked to developmental epileptic encephalopathies. Atypical absences differ from typical absences in that they are frequently drug-resistant and the prognosis is dependent on the etiology or related epileptic syndromes. To improve clinicians' understanding of atypical absences and provide novel perspectives for clinical treatment, we have reviewed the electro-clinical characteristics, etiologies, treatment, and prognosis of atypical absences, with a focus on the etiology of advancements in gene variants, shedding light on potential avenues for improved clinical management.

Core competing endogenous RNA network based on mRNA and non-coding RNA expression profiles in chicken fatty liver.

Fatty liver disease is a common metabolic disease in chickens. This disease can lead to a decrease in egg production and increase the risk of death in chickens. Long non-coding RNAs (lncRNAs) are involved in fatty liver formation by directly targeting genes or regulating gene expression by competitively binding microRNAs. However, a large proportion of competing endogenous RNA (ceRNA) networks in fatty liver diseases are still unclear. The total of 300 Jingxing-Huang chickens were used for fatty liver model construction. Then, differentially expressed (DE) genes (DEGs) identified through whole-transcriptome sequencing from four chickens with fatty liver and four chickens without fatty liver were chosen from the F1 generation. A total of 953 DEGs were identified between the fatty liver group and the control group, including 26 DE micro (mi)RNAs and 56 DE lncRNAs. Differential expression heatmaps and volcano plots were obtained after clustering expression analysis. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that these DEGs were involved in many biological processes and signaling pathways related to fatty acid metabolism and lipid synthesis. Furthermore, cytoscape was used to construct a ceRNA network of the DE miRNAs, DE mRNAs, and DE lncRNAs. Eleven DE lncRNAs, seven DE miRNAs, and 13 DE mRNAs were found to be associated with the pathogenesis of fatty liver disease. An lncRNA-miRNA-mRNA ceRNA network was constructed to elucidate the mechanisms of fatty liver diseases, and the ENSGALT00000079786-miR-140/miR-143/miR-1a/miR-22/miR-375 network was identified. These results provide a valuable resource for further elucidating the posttranscriptional regulatory mechanisms of chicken liver and adipose fat development or deposition.

Diversity of Fungal Community and Its Constraints in the Yifeng Lithium Mines, Eastern China.

It is well accepted that biodiversity and ecosystem functions are strongly shaped by environmental conditions; however, relatively little is known about how they depend on the mineralogical assemblage of local environments, especially in mines. This study aims to reveal the diversity characteristics of the fungal community in the surface of granite lithium ores and their weathering products sampled from the Yifeng lithium mines in Jiangxi Province, eastern China. According to the analysis of internal transcribed spacer1 (ITS1) high-throughput sequencing, significant differences in fungal community diversity on the surface of lithium ores and their weathering products have been revealed. The operational taxonomic unit (OTU) of the ore surface and its weathering products ranged from 280 to 624, which may depend on the mineral composition as well as the degree of weathering. The community composition of each sample was significantly different at the phylum level, especially between the weathering products in Ascomycota and Basidiomycota. Although Ascomycota and Basidiomycota were the dominant fungal communities in all samples, each sample has its own distinctive fungi. The trophic modes of the fungi were more complex than that of the bacteria. 10 different fungal trophic modes and 25 dominant functional fungal groups were disclosed, and the saprophytic community was found to be the dominant group. These fungi could accelerate the decomposition of environmental organic matter in the environment by producing hydrolases and oxidases. Chytridiomycota with the function of producing and regulating secondary metabolites were the representative fungi in all samples. Our findings would provide theoretical basis and research clues for understanding the relationship between weathering of granite lithium and fungal communities.

Research and application progress of microbial ß-mannanases: a mini-review.

Mannan is a predominant constituent of cork hemicellulose and is widely distributed in various plant tissues. ß-Mannanase is the principal mannan-degrading enzyme, which breaks down the ß-1,4-linked mannosidic bonds in mannans in an endo-acting manner. Microorganisms are a valuable source of ß-mannanase, which exhibits catalytic activity in a wide range of pH and temperature, making it highly versatile and applicable in pharmaceuticals, feed, paper pulping, biorefinery, and other industries. Here, the origin, classification, enzymatic properties, molecular modification, immobilization, and practical applications of microbial ß-mannanases are reviewed, the future research directions for microbial ß-mannanases are also outlined.

Characteristics and Correlates of Meaning in Life Profiles among Chinese Rural Adolescents.

The meaning in life (MIL) in adolescence is crucial in the developmental process of life. Anchored in the Integrated Model of Meaning Making and the Dual-Systems Model of Meaning, the present study aimed to explore the MIL profiles among Chinese rural adolescents and their characteristics, as well as the role of depression, well-being, character strengths, and academic encouragement in differentiating the MIL profiles. A sample of 579 adolescents from rural China (Mean age = 15.33, SD = 1.69, aged from 12 to 19, female = 56.47%) participated in the survey. Latent profile analysis examined six dimensions of MIL: search for meaning, presence of meaning, need for meaning, meaning confusion, meaning anxiety, and meaning avoidance. Four profiles with different meaning characteristics were revealed: Meaning Oriented profile (18.48%), Bewildered profile (17.62%), Perfunctory profile (51.47%), and Indifferent profile (12.44%). The Meaning Oriented profile had the highest well-being scores and the lowest depression scores compared to the other three profiles. Adolescents with higher character strengths or academic encouragement were less likely to be in the other three profiles than in the Meaning-Oriented profile. The current findings suggest the need for targeted intervention strategies for adolescents with different MIL profiles.

A fragmented neural network ensemble method and its application to image classification.

In recent years, deep neural networks have evolved rapidly in engineering technology, with models becoming larger and deeper. However, for most companies, developing large models is extremely costly and highly risky. Researchers usually focus on the performance of the model, neglecting its cost and accessibility. In fact, most regular business scenarios do not require high-level AI. A simple and inexpensive modeling method for fulfilling certain demands for practical applications of AI is needed. In this paper, a Fragmented neural network method is proposed. Inspired by the random forest algorithm, both the samples and features are randomly sampled on image data. Images are randomly split into smaller pieces. Weak neural networks are trained using these fragmented images, and many weak neural networks are then ensembled to build a strong neural network by voting. In this way, sufficient accuracy is achieved while reducing the complexity and data volume of each base learner, enabling mass production through parallel and distributed computing. By conducting experiments on the MNIST and CIFAR10 datasets, we build a model pool using FNN, CNN, DenseNet, and ResNet as the basic network structure. We find that the accuracy of the ensemble weak network is significantly higher than that of each base learner. Meanwhile, the accuracy of the ensemble network is highly dependent on the performance of each base learner. The accuracy of the ensemble network is comparable to or even exceeds that of the full model and has better robustness. Unlike other similar studies, we do not pursue SOTA models. Instead, we achieved results close to the full model with a smaller number of parameters and amount of data.

Nobiletin from citrus peel: a promising therapeutic agent for liver disease-pharmacological characteristics, mechanisms, and potential applications.

Nobiletin (NOB) is a flavonoid derived from citrus peel that has potential as an alternative treatment for liver disease. Liver disease is a primary health concern globally, and there is an urgent need for effective drugs. This review summarizes the pharmacological characteristics of NOB and current in vitro and in vivo studies investigating the preventive and therapeutic effects of NOB on liver diseases and its potential mechanisms. The findings suggest that NOB has promising therapeutic potential in liver diseases. It improves liver function, reduces inflammation and oxidative stress, remodels gut microflora, ameliorates hepatocellular necrosis, steatosis, and insulin resistance, and modulates biorhythms. Nuclear factor erythroid 2-related factor 2 (Nrf2), nuclear transcription factor kappa (NF-κB), AMP-activated protein kinase (AMPK), peroxisome proliferator-activated receptor α(PPAR-α), extracellular signal-regulated kinase (ERK), protein kinase B (AKT), toll-like receptor 4 (TLR4) and transcription factor EB (TFEB) signaling pathways are important molecular targets for NOB to ameliorate liver diseases. In conclusion, NOB may be a promising drug candidate for treating liver disease and can accelerate its application from the laboratory to the clinic. However, more high-quality clinical trials are required to validate its efficacy and identify its molecular mechanisms and targets.

Molecular Pathways Regulating Circadian Rhythm and Associated Diseases.

Circadian rhythms, the natural cycles of physical, mental, and behavioral changes that follow a roughly 24-hour cycle, are known to have a profound effect on the human body. Light plays an important role in the regulation of circadian rhythm in human body. When light from the outside enters the eyes, cones, rods, and specialized retinal ganglion cells receive the light signal and transmit it to the suprachiasmatic nucleus of the hypothalamus. The central rhythm oscillator of the suprachiasmatic nucleus regulates the rhythm oscillator of tissues all over the body. Circadian rhythms, the natural cycles of physical, mental, and behavioral changes that follow a roughly 24-hour cycle, are known to have a profound effect on the human body. As the largest organ in the human body, skin plays an important role in the peripheral circadian rhythm regulation system. Like photoreceptor cells in the retina, melanocytes express opsins. Studies show that melanocytes in the skin are also sensitive to light, allowing the skin to "see" light even without the eyes. Upon receiving light signals, melanocytes in the skin release hormones that maintain homeostasis. This process is called "photoneuroendocrinology", which supports the health effects of light exposure. However, inappropriate light exposure, such as prolonged work in dark environments or exposure to artificial light at night, can disrupt circadian rhythms. Such disruptions are linked to a variety of health issues, emphasizing the need for proper light management in daily life. Conversely, harnessing light's beneficial effects through phototherapy is gaining attention as an adjunctive treatment modality. Despite these advancements, the field of circadian rhythm research still faces several unresolved issues and emerging challenges. One of the most exciting prospects is the use of the skin's photosensitivity to treat diseases. This approach could revolutionize how we think about and manage various health conditions, leveraging the skin's unique ability to respond to light for therapeutic purposes. As research continues to unravel the complexities of circadian rhythms and their impact on health, the potential for innovative treatments and improved wellbeing is immense.

Combined effects of climate and land-use changes on the alpha and beta functional diversities of terrestrial mammals in China.

Climate and land-use changes are predicted to impact biodiversity, threatening ecosystem services and functions. However, their combined effects on the functional diversity of mammals at the regional scale remain unclear, especially at the beta level. Here, we use projected climate and land-use changes in China to investigate their potential effects on the alpha and beta functional diversities of terrestrial mammals under low- and high-emission scenarios. In the current projection, we showed strong positive spatial correlations between functional richness and species richness. Functional evenness (FEve), functional specialization (FSpe), and functional originality (FOri) decreased with species richness, and functional divergence (FDiv) increased first and then plateaued. Functional beta diversity was dominated by its nestedness component, in contrast to the taxonomic facet. Potential changes in species richness are more strongly influenced by land-use change under the low-emission scenario, while under the high-emission scenario, they are more strongly influenced by climate change. Changes in functional richness (FRic) were inconsistent with those in species richness, with a magnitude of decreases greater than predicted from species richness. Moreover, mammal assemblages showed potential functional differentiation (FD) across the country, and the trends exceeded those towards taxonomic differentiation (TD). Our findings help us understand the processes underlying biodiversity responses to global changes on multiple facets and provide new insight for conservation plans.

Machine learning model based on RCA-PDCA nursing methods and differentiating factors to predict hypotension during cesarean section surgery.

BACKGROUND: Intraoperative hypotension during cesarean section has become a serious complication for maternal and fetal healthy. It is commonly encountered by subarachnoid anesthesia. However, currently used control methods have varying degrees of side effects, such as drugs. The Root Cause Analysis (RCA) - Plan, Do, Check, Act (PDCA) is a new model of care that identifies the root causes of problems. The study aimed to demonstrate the usefulness of RCA-PDCA nursing methods in preventing intraoperative hypotension during cesarean section and to predict the occurrence of intraoperative hypotension through a machine learning model. METHODS: Patients who underwent cesarean section at Traditional Chinese Medicine of Southwest Medical University from January 2023 to December 2023 were retrospectively screened, and the data of their gestational times, age, height, weight, history of allergies, intraoperative vital signs, fetal condition, operative time, fluid out and in, adverse effects, use of vasopressor drugs, anxiety-depression-pain scores, and satisfaction were collected and analyzed. The statistically different features were screened and five machine learning models were used as predictive models to assess the usefulness of the RCA-PDCA model of care. RESULTS: (1) Compared with the general nursing model, the RCA-PDCA nursing model significantly reduces the incidence of intraoperative hypotension and postoperative complications in cesarean delivery, and the patient experience is comfortable and satisfactory. (2) Among the five machine learning models, the RF model has the best predictive performance, and the accuracy of the random forest model in preventing intraoperative hypotension is as high as 90%. CONCLUSION: Through computer machine learning model analysis, we prove the importance of the RCA-PDCA nursing method in the prevention of intraoperative hypotension during cesarean section, especially the Random Forest model which performed well and promoted the application of artificial intelligence computer learning methods in the field of medical analysis.

Biliary atresia: the role of gut microbiome, and microbial metabolites.

Biliary atresia (BA) is a progressive fibroinflammatory disease affecting both the extrahepatic and intrahepatic bile ducts, potentially leading to chronic cholestasis and biliary cirrhosis. Despite its prevalence, the exact mechanisms behind BA development remain incompletely understood. Recent research suggests that the gut microbiota and its metabolites may play significant roles in BA development. This paper offers a comprehensive review of the changing characteristics of gut microbiota and their metabolites at different stages of BA in children. It discusses their influence on the host's inflammatory response, immune system, and bile acid metabolism. The review also explores the potential of gut microbiota and metabolites as a therapeutic target for BA, with interventions like butyrate and gut microbiota preparations showing promise in alleviating BA symptoms. While progress has been made, further research is necessary to untangle the complex interactions between gut microbiota and BA, paving the way for more effective prevention and treatment strategies for this challenging condition.