METTL16 Promotes Stability of SYNPO2L mRNA and leading to Cancer Cell Lung Metastasis by Secretion of COL10A1 and attract the Cancer-Associated Fibroblasts.

The occurrence of metastasis is a major factor contributing to poor prognosis in colorectal cancer. Different stages of the disease play a crucial role in distant metastasis. Furthermore, m6A has been demonstrated to play a significant role in regulating tumor metastasis. Therefore, we conducted an analysis of transcriptome data from high-stage and low-stage colorectal cancer patients in The Cancer Genome Atlas (TCGA) to identify genes associated with m6A-related regulation. We identified SYNPO2L as a core gene regulated by m6A, and it is correlated with adverse prognosis and metastasis in patients. Additionally, we demonstrated that the m6A writer gene Mettl16 can regulate the stability of SYNPO2L through interaction with YTHDC1. Subsequently, using Weighted Gene Co-expression Network Analysis (WGCNA), we discovered that SYNPO2L can regulate COL10A1, mediating the actions of Cancer-Associated Fibroblasts. SYNPO2L promotes the secretion of COL10A1 and the infiltration of tumor-associated fibroblasts, thereby facilitating Epithelial-Mesenchymal Transition (EMT) in tumor cells and making them more prone to distant metastasis.

Diversity and New Species of Ascomycota from Bamboo in China.

Bamboo is an economically important crop that has gained prominence as an alternative to wood to reduce deforestation and ecosystem destruction. Diseases of bamboo that typically occur on leaves and stems can cause significant loss, reducing the quality and yield of the bamboo. However, there are few reports identifying the fungal species diversity and potential pathogens of bamboo. Here, we describe four new species of plant fungi from the leaves of bamboo within Fujian provinces, China. Fungi were isolated from diseased leaves collected within Fujian province and identified based on their morphological characteristics and multilocus phylogenies using nucleotide sequences derived from combined datasets of the intervening 5.8S nrRNA gene (ITS), the 28S large subunit of nuclear ribosomal RNA gene (LSU), the large subunit of RNA polymerase I (rpb1), the translation elongation factor 1-α gene (tef1-α), and the partial beta-tubulin gene (tub2). These analyses helped reveal and clarify taxonomic relationships in the family Magnaporthaceae. The new species of bambusicolous fungi identified include two species of Bifusisporella, described as B. fujianensis sp. nov. and B. bambooensis sp. nov., and two species of Apiospora, described as A. fujianensis sp. nov. and A. fuzhouensis sp. nov. This study further expands the characterization and distribution of fungi associated with bamboo.

Phylogenetic and Morphological Evidence for Three New Species of Diaporthales (Ascomycota) from Fujian Province, China.

Members of the fungal order Diaporthales are sac fungi that include plant pathogens (the notorious chestnut blight fungus), as well as saprobes and endophytes, and are capable of colonizing a wide variety of substrates in different ecosystems, habitats, and hosts worldwide. However, many Diaporthales species remain unidentified, and various inconsistencies within its taxonomic category remain to be resolved. Here, we aimed to identify and classify new species of Diaporthales by using combined morphological and molecular characterization and coupling this information to expand our current phylogenetic understanding of this order. Fungal samples were obtained from dead branches and diseasedleaves of Camellia (Theaceae) and Castanopsis (Fagaceae) in Fujian Province, China. Based on morphological characteristics and molecular phylogenetic analyses derived from the combined nucleotide sequences of loci of the internal transcribed spacer regions with the intervening 5.8S nrRNA gene (ITS), the 28S large subunit of nuclear ribosomal RNA gene (LSU), the translation elongation factor 1-α gene (tef1), the partial beta-tubulin gene (tub2), and partial RNA polymerase II second-largest subunit gene (rpb2), three new species of Diaporthales were identified and characterized. They are as follows: Chrysofolia camelliae sp. nov., Dendrostoma castanopsidis sp. nov., and Pseudoplagiostoma wuyishanense sp. nov. They are described and illustrated. This study extends our understanding of species diversity within the Diaporthales.

Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China.

With the atypical rise of Mycoplasma pneumoniae infection (MPI) in 2023, prompt studies are needed to determine the current epidemic features and risk factors with emerging trends of MPI to furnish a framework for subsequent investigations. This multicentre, retrospective study was designed to analyse the epidemic patterns of MPI before and after the COVID-19 pandemic, as well as genotypes and the macrolide-resistance-associated mutations in MP sampled from paediatric patients in Southern China. Clinical data was collected from 1,33,674 patients admitted into investigational hospitals from 1 June 2017 to 30 November 2023. Metagenomic next-generation sequencing (mNGS) data were retrieved based on MP sequence positive samples from 299 paediatric patients for macrolide-resistance-associated mutations analysis. Pearson's chi-squared test was used to compare categorical variables between different time frames. The monthly average cases of paediatric common respiratory infection diseases increased without enhanced public health measures after the pandemic, especially for influenza, respiratory syncytial virus infection, and MPI. The contribution of MPI to pneumoniae was similar to that in the outbreak in 2019. Compared to mNGS data between 2019-2022 and 2023, the severity of MP did not grow stronger despite higher rates of macrolide-resistance hypervariable sites, including loci 2063 and 2064, were detected in childhood MP samples of 2023. Our findings indicated that ongoing surveillance is necessary to understand the impact of post pandemic on MP transmission disruption during epidemic season and the severity of clinical outcomes in different scenarios.

Recombinant fibroblast growth factor 4 ameliorates axonal regeneration and functional recovery in acute spinal cord injury through altering microglia/macrophage phenotype.

Neuroinflammation is one of the extensive secondary injury processes that aggravate metabolic and cellular dysfunction and tissue loss following spinal cord injury (SCI). Thus, an anti-inflammatory strategy is crucial for modulating structural and functional restoration during the stage of acute and chronic SCI. Recombinant fibroblast growth factor 4 (rFGF4) has eliminated its mitogenic activity and demonstrated a metabolic regulator for alleviating hyperglycemia in type 2 diabetes and liver injury in non-alcoholic steatohepatitis. However, it remains to be explored whether or not rFGF4 has a neuroprotective effect for restoring neurological disorders, such as SCI. Here, we identified that rFGF4 could polarize microglia/macrophages into the restorative M2 subtype, thus exerting an anti-inflammatory effect to promote neurological functional recovery and nerve fiber regeneration after SCI. Importantly, these effects by rFGF4 were related to triggering PI3K/AKT/GSK3ß and attenuating TLR4/NF-κB signaling axes. Conversely, gene silencing of the PI3K/AKT/GSK3ß signaling or pharmacological reactivation of the TLR4/NF-κB axis aggravated inflammatory reaction. Thus, our findings highlight rFGF4 as a potentially therapeutic regulator for repairing SCI, and its outstanding effect is associated with regulating macrophage/microglial polarization.

Exosomes from MicroRNA-125b-Modified Adipose-Derived Stem Cells Promote Wound Healing of Diabetic Foot Ulcers.

INTRODUCTION: Exosomes derived from Adipose-Derived Stem Cells (ADSCs-Exo) have been implicated in the enhancement of wound repair in Diabetic Foot Ulcers (DFU). OBJECTIVE: The current research was designed to explore the therapeutic potential and underlying mechanisms of ADSCs-Exo modified with microRNA-125b (miR-125b) in the context of DFU. METHODS: Rat models with DFU and human umbilical vein endothelial cells (HUVECs) subjected to high glucose (HG) conditions served as experimental systems and were administered miR-125b-engineered ADSCs-Exo. Then, the expressions of CD34, Ki-67, angiogenesis-related factors (VEGF and TGFß-1), angiogenesis inhibitor DLL-4, and inflammation-related proteins (TLR-4 and IL-6) were detected. RESULTS: MiR-125b was upregulated in ADSCs-Exo. MiR-125b-mimics transfection in ADSCs- Exo reduced inflammatory infiltration and promoted granulation formation and wound healing in wound tissues. MiR-125b-mimics-modified ADSCs-Exo injection increased the expression of CD34, Ki-67, VEGF, and TGFß-1, whereas decreased the expression of DLL-4, TLR-4, and IL-6 in wound tissues of DFU rats. In addition, miR-125b-mimics-ADSCs-Exo injection reversed the negative effects of HG on the proliferation, migration, and angiogenesis of HUVECs, as well as the positive effects of cell apoptosis. Moreover, miR-125b-inhibitor-ADSCs-Exo injection had the opposite effects to miR-125b-mimics-ADSCs-Exo. CONCLUSION: ADSCs-Exo promoted wound healing of DFU rats, especially when overexpressing miR-125b.

Human umbilical cord mesenchymal stem cell therapy for renal dysfunction in Alport syndrome: protocol for an open-label, single-arm trial in China.

INTRODUCTION: Alport syndrome (AS) is one of the most common fatal hereditary renal diseases in human, with a high risk of progressing to end-stage renal disease without effective treatments. Mesenchymal stem cells (MSCs) have recently emerged as a promising therapeutic strategy for chronic kidney disease. However, the safety and therapeutic potential of MSC transfusion for patients with AS are still need to be confirmed. Therefore, we have designed a clinical trial to evaluate the hypothesis that intravenous infusion of human umbilical cord-derived MSC (hUC-MSC) is safe, feasible, and well-tolerated in children with AS. METHODS AND ANALYSIS: We report the protocol of the first prospective, open-label, single-arm clinical trial to evaluate the safety and preliminary efficacy of hUC-MSC transfusion in children with early-stage AS. Paediatric patients diagnosed with AS who have persistent albuminuria will be candidates for screening. Twelve eligible patients are planned to recruit and will receive hUC-MSC infusions under close safety monitoring, and complete the efficacy assessments at scheduled follow-up visits. The primary endpoints include the occurrence of adverse events to assess safety and the albuminuria level for efficacy evaluation. Secondary endpoint assessments are based on haematuria and glomerular filtration measurements. Each patient's efficacy endpoints will be evaluated against their baseline levels. Additionally, the underlying mechanism of hUC-MSC therapy will be explored through transcriptomic and proteomic analysis of blood and urine samples. ETHICS AND DISSEMINATION: The protocol (V.1.0, date 17 January 2015) was approved by the institutional review board of the Affiliated Taihe Hospital of Hubei University of Medicine (ethical approval 03 March 2015). Written informed consent will be obtained from the patient and/or guardians before study specific process. In addition to publication in a peer-reviewed scientific journal, a lay summary of study will be available for participants and the public on the Chinese Organization for Rare Disorders website (http://www.cord.org.cn/). TRIAL REGISTRATION NUMBER: ISRCTN62094626.

Overcoming cold tumors: a combination strategy of immune checkpoint inhibitors.

Immune Checkpoint Inhibitors (ICIs) therapy has advanced significantly in treating malignant tumors, though most 'cold' tumors show no response. This resistance mainly arises from the varied immune evasion mechanisms. Hence, understanding the transformation from 'cold' to 'hot' tumors is essential in developing effective cancer treatments. Furthermore, tumor immune profiling is critical, requiring a range of diagnostic techniques and biomarkers for evaluation. The success of immunotherapy relies on T cells' ability to recognize and eliminate tumor cells. In 'cold' tumors, the absence of T cell infiltration leads to the ineffectiveness of ICI therapy. Addressing these challenges, especially the impairment in T cell activation and homing, is crucial to enhance ICI therapy's efficacy. Concurrently, strategies to convert 'cold' tumors into 'hot' ones, including boosting T cell infiltration and adoptive therapies such as T cell-recruiting bispecific antibodies and Chimeric Antigen Receptor (CAR) T cells, are under extensive exploration. Thus, identifying key factors that impact tumor T cell infiltration is vital for creating effective treatments targeting 'cold' tumors.

Detecting and Grounding Multi-Modal Media Manipulation and Beyond.

Misinformation has become a pressing issue. Fake media, in both visual and textual forms, is widespread on the web. While various DeepFake detection and text fake news detection methods have been proposed, they are only designed for single-modality forgery based on binary classification, let alone analyzing and reasoning subtle forgery traces across different modalities. In this paper, we highlight a new research problem for multi-modal fake media, namely Detecting and Grounding Multi-Modal Media Manipulation (DGM 4). DGM 4 aims to not only detect the authenticity of multi-modal media, but also ground the manipulated content (i.e., image bounding boxes and text tokens), which requires deeper reasoning of multi-modal media manipulation. To support a large-scale investigation, we construct the first DGM 4 dataset, where image-text pairs are manipulated by various approaches, with rich annotation of diverse manipulations. Moreover, we propose a novel HierArchical Multi-modal Manipulation rEasoning tRansformer (HAMMER) to fully capture the fine-grained interaction between different modalities. HAMMER performs: 1) manipulation-aware contrastive learning between two uni-modal encoders as shallow manipulation reasoning and 2) modality-aware cross-attention by multi-modal aggregator as deep manipulation reasoning. Dedicated manipulation detection and grounding heads are integrated from shallow to deep levels based on the interacted multi-modal information. To exploit more fine-grained contrastive learning for cross-modal semantic alignment, we further integrate Manipulation-Aware Contrastive Loss with Local View and construct a more advanced model HAMMER++. Finally, we build an extensive benchmark and set up rigorous evaluation metrics for this new research problem. Comprehensive experiments demonstrate the superiority of HAMMER and HAMMER++; several valuable observations are also revealed to facilitate future research in multi-modal media manipulation.

Effects of public health interventions and zero COVID policy on paediatric diseases: A Southern China study.

Background: With the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in schools and communities, clinical evidence is needed to determine the impact of the pandemic and public health interventions under the zero coronavirus disease policy on the occurrence of common infectious diseases and non-infectious diseases among children. Methods: The current study was designed to analyse the occurrence of common infectious diseases before and after the pandemic outbreak in southern China. Data was obtained for 1 801 728 patients admitted into children's hospitals in Guangzhou between January 2017 and July 2022. Regression analysis was performed for data analysis. Results: The annual occurrence of common paediatric infectious diseases remarkably decreased after the pandemic compared to the baseline before the pandemic and the monthly occurrence. Cases per month of common paediatric infectious diseases were significantly lower in five periods during the local outbreak when enhanced public health measures were in place. Cases of acute non-infectious diseases such as bone fractures were not reduced. Non-pharmaceutical interventions decreased annual and monthly cases of paediatric respiratory and intestinal infections during the coronavirus disease 2019 (COVID-19) pandemic, especially when enhanced public health interventions were in place. Conclusions: Our findings provide clinical evidence that public health interventions under the dynamic zero COVID policy in the past three years had significant impacts on the occurrence of common respiratory and intestinal infectious diseases among children and adolescents but little impact on reducing non-infectious diseases such as leukaemia and bone fracture.

Covalent PROTAC design method based on a sulfonyl pyridone probe.

Covalent proteolysis-targeting chimeras (PROTACs) offer enhanced selectivity, prolonged action, and increased efficacy against challenging target proteins. The conventional approach relies on covalent ligands, but our study presents an innovative method employing an N-sulfonyl pyridone warhead to selectively target tyrosine (Tyr) residues. The von Hippel-Lindau (VHL) moiety is transferred from the warhead to the exposed Tyr, allowing us to design a STING degrader (DC50 0.53 µM, Dmax 56.65%). This approach showcases the potential of nucleophilic amino acid labeling probes, particularly for proteins lacking easily accessible cysteine residues, opening new possibilities for covalent PROTAC design and targeted protein degradation therapies.

Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval.

The composed image retrieval (CIR) task aims to retrieve the desired target image for a given multimodal query, i.e., a reference image with its corresponding modification text. The key limitations encountered by existing efforts are two aspects: 1) ignoring the multiple query-target matching factors; 2) ignoring the potential unlabeled reference-target image pairs in existing benchmark datasets. To address these two limitations is non-trivial due to the following challenges: 1) how to effectively model the multiple matching factors in a latent way without direct supervision signals; 2) how to fully utilize the potential unlabeled reference-target image pairs to improve the generalization ability of the CIR model. To address these challenges, in this work, we first propose a CLIP-Transformer based muLtI-factor Matching Network (LIMN), which consists of three key modules: disentanglement-based latent factor tokens mining, dual aggregation-based matching token learning, and dual query-target matching modeling. Thereafter, we design an iterative dual self-training paradigm to further enhance the performance of LIMN by fully utilizing the potential unlabeled reference-target image pairs in a weakly-supervised manner. Specifically, we denote the iterative dual self-training paradigm enhanced LIMN as LIMN+. Extensive experiments on four datasets, including FashionIQ, Shoes, CIRR, and Fashion200 K, show that our proposed LIMN and LIMN+ significantly surpass the state-of-the-art baselines.

Covalent Peptide LSD1 Inhibitor Specifically Recognizes Cys360 in the Enzyme-Active Region.

Lysine-specific demethylase 1 (LSD1) is a promising therapeutic target, especially in cancer treatment. Despite several LSD1 inhibitors being discovered for the cofactor pocket, none are FDA-approved. We aimed to develop stabilized peptides for irreversible LSD1 binding, focusing on unique cysteine residue Cys360 in LSD1 and SNAIL1. We created LSD1 C360-targeting peptides, like cyclic peptide S9-CMC1, using our Cysteine-Methionine cyclization strategy. S9-CMC1 effectively inhibited LSD1 at the protein level, as confirmed by MS analysis showing covalent bonding to Cys360. In cells, S9-CMC1 inhibited LSD1 activity, increasing H3K4me1 and H3K4me2 levels, leading to G1 cell cycle arrest and apoptosis and inhibiting cell proliferation. Remarkably, S9-CMC1 showed therapeutic potential in A549 xenograft animal models, regulating LSD1 activity and significantly inhibiting tumor growth with minimal organ damage. These findings suggest LSD1 C360 as a promising site for covalent LSD1 inhibitors' development.

Semantic-Aware Modular Capsule Routing for Visual Question Answering.

Visual Question Answering (VQA) is fundamentally compositional in nature, and many questions are simply answered by decomposing them into modular sub-problems. The recent proposed Neural Module Network (NMN) employ this strategy to question answering, whereas heavily rest with off-the-shelf layout parser or additional expert policy regarding the network architecture design instead of learning from the data. These strategies result in the unsatisfactory adaptability to the semantically-complicated variance of the inputs, thereby hindering the representational capacity and generalizability of the model. To tackle this problem, we propose a Semantic-aware modUlar caPsulE Routing framework, termed as SUPER, to better capture the instance-specific vision-semantic characteristics and refine the discriminative representations for prediction. Particularly, five powerful specialized modules as well as dynamic routers are tailored in each layer of the SUPER network, and the compact routing spaces are constructed such that a variety of customizable routes can be sufficiently exploited and the vision-semantic representations can be explicitly calibrated. We comparatively justify the effectiveness and generalization ability of our proposed SUPER scheme over five benchmark datasets, as well as the parametric-efficient advantage. It is worth emphasizing that this work is not to pursue the state-of-the-art results in VQA. Instead, we expect that our model is responsible to provide a novel perspective towards architecture learning and representation calibration for VQA.

Spleen tyrosine kinase (SYK) signals are implicated in cardio-cerebrovascular diseases.

Post-translational modifications regulate numerous biochemical reactions and functions through covalent attachment to proteins. Phosphorylation, acetylation and ubiquitination account for over 90% of all reported post-translational modifications. As one of the tyrosine protein kinases, spleen tyrosine kinase (SYK) plays crucial roles in many pathophysiological processes and affects the pathogenesis and progression of various diseases. SYK is expressed in tissues outside the hematopoietic system, especially the heart, and is involved in the progression of various cardio-cerebrovascular diseases, such as atherosclerosis, heart failure, diabetic cardiomyopathy, stroke and others. Knowledge on the role of SYK in the progress of cardio-cerebrovascular diseases is accumulating, and many related mechanisms have been discovered and validated. This review summarizes the role of SYK in the progression of various cardio-cerebrovascular diseases, and aims to provide a theoretical basis for future experimental and clinical research targeting SYK as a therapeutic option for these diseases.

Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition.

Semi-supervised learning has been well established in the area of image classification but remains to be explored in video-based action recognition. FixMatch is a state-of-the-art semi-supervised method for image classification, but it does not work well when transferred directly to the video domain since it only utilizes the single RGB modality, which contains insufficient motion information. Moreover, it only leverages highly-confident pseudo-labels to explore consistency between strongly-augmented and weakly-augmented samples, resulting in limited supervised signals, long training time, and insufficient feature discriminability. To address the above issues, we propose neighbor-guided consistent and contrastive learning (NCCL), which takes both RGB and temporal gradient (TG) as input and is based on the teacher-student framework. Due to the limitation of labelled samples, we first incorporate neighbors information as a self-supervised signal to explore the consistent property, which compensates for the lack of supervised signals and the shortcoming of long training time of FixMatch. To learn more discriminative feature representations, we further propose a novel neighbor-guided category-level contrastive learning term to minimize the intra-class distance and enlarge the inter-class distance. We conduct extensive experiments on four datasets to validate the effectiveness. Compared with the state-of-the-art methods, our proposed NCCL achieves superior performance with much lower computational cost.

Mitochondrion: A bridge linking aging and degenerative diseases.

Aging is a natural process, characterized by progressive loss of physiological integrity, impaired function, and increased vulnerability to death. For centuries, people have been trying hard to understand the process of aging and find effective ways to delay it. However, limited breakthroughs have been made in anti-aging area. Since the hallmarks of aging were summarized in 2013, increasing studies focus on the role of mitochondrial dysfunction in aging and aging-related degenerative diseases, such as neurodegenerative diseases, osteoarthritis, metabolic diseases, and cardiovascular diseases. Accumulating evidence indicates that restoring mitochondrial function and biogenesis exerts beneficial effects in extending lifespan and promoting healthy aging. In this paper, we provide an overview of mitochondrial changes during aging and summarize the advanced studies in mitochondrial therapies for the treatment of degenerative diseases. Current challenges and future perspectives are proposed to provide novel and promising directions for future research.

A Blumgart Anastomosis-Based Half-Invagination Pancreaticoenterostomy with Better Applicability to Laparoscopy and Lower Incidence of Pancreatic Leakage.

Background: The Blumgart anastomosis (BA) is one of the safest anastomoses for pancreatic stump reconstruction. The incidence of postoperative pancreatic fistula (POPF) and postoperative complications is low. However, how to make laparoscopic pancreaticoenterostomy easier and safer is still a topic to be discussed. Methods: The data of patients who underwent laparoscopic pancreaticoduodenectomy (PD) from April 2014 to December 2019 were analyzed retrospectively. Results: Half-invagination anastomosis was performed in 20 cases (HI group), and the Cattell-Warren anastomosis was carried out in 26 cases (CW group). The amount of intraoperative bleeding, operation time, and postoperative catheterization time in the HI group was significantly less than those in the CW group. Besides, the number of patients at the Clavien-Dindo grade III and above in the HI group was significantly less than that in the control group. Moreover, the incidence of POPF in the HI group was significantly lower than that in the CW group. Furthermore, fistula risk score (FRS) analysis showed that there was no high-risk group, and the highest risk in the medium-risk group was pancreatic leakage. In addition, the incidence of pancreatic leakage in the HI group and CW group was 7.7% and 46.67%, respectively, while the incidence of pancreatic leakage in the HI group was significantly lower than that in the CW group. Conclusions: The half-invagination pancreaticoenterostomy based on the Blumgart anastomosis should have good applicability under laparoscopy and could effectively reduce the incidence of postoperative pancreatic leakage.

Targeted Biomolecule Regulation Platform: A Split-and-Mix PROTAC Approach.

The development of bifunction al molecules, which can enable targeted RNA degradation, targeted protein acetylation, or targeted protein degradation, remains a time-consuming process that requires tedious optimization. We propose a split-and-mix nanoplatform that serves as a self-adjustable platform capable of facile screening, programmable ligand ratios, self-optimized biomolecule spatial recognition, and multifunctional applications. Herein, we demonstrate the potential of our proposed nanoplatform by showcasing proteolysis-targeting chimeras (PROTACs), namely, split-and-mix PROTAC (SM-PROTAC). We highlight the scope of our platform through the targeted disruption of intracellular therapeutic targets involving ERα, CDK4/6, AR, MEK1/2, BRD2/4, BCR-ABL, etc. These studies confirm the effectiveness and universality of the SM-PROTAC platform for proximity-induced applications. This platform is programmable, with significant potential applications to biomolecule regulation, including the fields of epigenetics, gene editing, and biomolecule modification regulation.