Pathogenic Mechanisms Research Articles

The roles of rabies virus structural proteins in immune evasion and implications for vaccine development

Rabies is a zoonotic infectious disease that targets the nervous system of human and animals and has about 100% fatality rate without treatment. Rabies virus is a bullet-like viral particle composed of five structural proteins, including nucleoprotein (N), phosphorylated protein (P), matrix protein (M), glycoprotein (G), and large subunit (L) of RNA-dependent RNA polymerase. These multifunctional viral proteins also play critical roles in the immune escape by inhibiting specific immune responses in the host, resulting in massive replication of the virus in the nervous system and abnormal behaviors of patients such as brain dysfunction and hydrophobia, which ultimately lead to the death of patients. Herein, the role of five structural proteins of rabies virus in the viral replication and immune escape and its implication for the development of vaccines were systemically reviewed, so as to shed light on the understanding of pathogenic mechanism of rabies virus.

Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnostic model

PurposeThis study aims to utilize bioinformatics methods to systematically screen and identify susceptibility genes for cervical cancer, as well as to construct and validate an mitophagy-related genes (MRGs) diagnostic model. The objective is to increase the understanding of the disease’s pathogenesis and improve early diagnosis and treatment.MethodWe initially collected a large amount of genomic data, including gene expression profile and single nucleotide polymorphism (SNP) data, from the control group and Cervical cancer (CC) patients. Through bioinformatics analysis, which employs methods such as differential gene expression analysis and pathway enrichment analysis, we identified a set of candidate susceptibility genes associated with cervical cancer.ResultsMRGs were extracted from single-cell RNA sequencing data, and a network graph was constructed on the basis of intercellular interaction data. Furthermore, using machine learning algorithms, we constructed a clinical prognostic model and validated and optimized it via extensive clinical data. Through bioinformatics analysis, we successfully identified a group of genes whose expression significantly differed during the development of CC and revealed the biological pathways in which these genes are involved. Moreover, our constructed clinical prognostic model demonstrated excellent performance in the validation phase, accurately predicting the clinical prognosis of patients.ConclusionThis study delves into the susceptibility genes of cervical cancer through bioinformatics approaches and successfully builds a reliable clinical prognostic model. This study not only helps uncover potential pathogenic mechanisms of cervical cancer but also provides new directions for early diagnosis and treatment of the disease.

Biallelic EPB41L3 variants underlie a developmental disorder with seizures and myelination defects

Abstract Erythrocyte Membrane Protein Band 4.1 Like 3 (EPB41L3: NM_012307.5), also known as DAL-1, encodes the ubiquitously expressed, neuronally enriched 4.1B protein, part of the 4.1 superfamily of membrane-cytoskeleton adaptors. 4.1B plays key roles in cell spreading, migration, and cytoskeletal scaffolding that support oligodendrocyte axon adhesions essential for proper myelination. We herein describe six individuals from five unrelated families with global developmental delay, intellectual disability, seizures, hypotonia, neuroregression, and delayed myelination. Exome sequencing identified biallelic variants in EPB41L3 in all affected individuals: two nonsense (c.466C>T, p.(R156*); c.2776C>T, p.(R926*)) and three frameshift (c.666delT, p.(F222Lfs*46); c.2289dupC, p.(V764Rfs*19); c.948_949delTG, p.(A317Kfs*33)). Quantitative-real time PCR and Western blot analysis in human fibroblasts harbouring EPB41L3:c.666delT, p.(F222Lfs*46) indicate ablation of EPB41L3 mRNA and 4.1B protein expression. Inhibition of the nonsense mediated decay (NMD) pathway led to an upregulation of EPB41L3:c.666delT transcripts, supporting NMD as a pathogenic mechanism. Epb41l3-deficient mouse oligodendroglia cells showed significant reduction in mRNA expression of key myelin genes, reduced branching, and increased apoptosis. Our report provides the first clinical description of an autosomal recessive disorder associated with variants in EPB41L3, which we refer to as EPB41L3-associated developmental disorder (EADD). Moreover, our functional studies substantiate the pathogenicity of EPB41L3 hypothesized loss-of-function variants.

Autoantibodies to ADAMTS13 in human immunodeficiency virus-associated thrombotic thrombocytopenic purpura.

Thrombotic thrombocytopenic purpura (TTP) is a potentially fatal thrombotic microangiopathic disorder that can result from human immunodeficiency virus (HIV) infection. The pathogenesis involves a deficiency of the von Willebrand factor (vWF) cleaving protease ADAMTS13 (a disintegrin and metalloprotease with thrombospondin motifs member 13) and the presence of anti-ADAMTS13 autoantibodies. However, there is insufficient information regarding the epitope specificity and reactivity of these autoantibodies. This study aimed to perform epitope-mapping analysis to provide novel insights into the specific epitopes on ADAMTS13 domains affected by autoantibodies. The study analysed 59 frozen citrate plasma samples from HIV-associated TTP patients in South Africa, measuring ADAMTS13 activity using Technozyme® ADAMTS13 activity test, total immunoglobulin (Ig) M and IgA antibodies levels using ELISA kit and purifying IgG antibodies using NAb™ Protein G spin columns. A synthetic ADAMTS13 peptide library was used for epitope mapping. Overall, 90% of samples showed anti-ADAMTS13 IgG autoantibodies, with 64% of these antibodies being inhibitory, as revealed by mixing studies. Samples with ADAMTS13 antigen levels below 5% showed high anti-ADAMTS13 IgG autoantibody titres (≥50 IU/mL), whereas those with 5%-10% levels had low autoantibody titres (<50 IU/mL).The metalloprotease, cysteine-rich and spacer domains were 100% involved in binding anti-ADAMTS13 IgG antibodies, with 58% of samples containing antibodies binding to the C-terminal part of the ADAMTS13 disintegrin-like domain, indicating different pathogenic mechanisms. The metalloprotease, cysteine-rich and spacer domains are the primary targets for anti-ADAMTS13 IgG autoantibodies in patients with HIV-associated TTP. These findings suggest potential effects on the proteolytic activity of ADAMTS13, highlighting the complex nature of the pathogenic mechanisms involved.

Protein interactions in human pathogens revealed through deep learning.

Identification of bacterial protein-protein interactions and predicting the structures of these complexes could aid in the understanding of pathogenicity mechanisms and developing treatments for infectious diseases. Here we developed RoseTTAFold2-Lite, a rapid deep learning model that leverages residue-residue coevolution and protein structure prediction to systematically identify and structurally characterize protein-protein interactions at the proteome-wide scale. Using this pipeline, we searched through 78 million pairs of proteins across 19 human bacterial pathogens and identified 1,923 confidently predicted complexes involving essential genes and 256 involving virulence factors. Many of these complexes were not previously known; we experimentally tested 12 such predictions, and half of them were validated. The predicted interactions span core metabolic and virulence pathways ranging from post-transcriptional modification to acid neutralization to outer-membrane machinery and should contribute to our understanding of the biology of these important pathogens and the design of drugs to combat them.

In silico approach uncovers the shared genetic landscape of type 2 diabetes mellitus and asthenozoospermia

Asthenozoospermia (AZS) is one of the most common types of male infertility. Current evidence revealed that type 2 diabetes mellitus (T2DM) is closely associated with declining semen quality, especially for poor sperm motility. This study aimed to uncover the genetic interrelationships and important biomarkers between AZS and T2DM. Transcriptome data regarding AZS and T2DM were downloaded from the Gene Expression Omnibus (GEO) database. We performed GO and pathway analysis, and protein-protein interaction (PPI) network construction for T2DM-related differentially expressed genes (DMRGs). Moreover, we calculated receiver operator characteristic (ROC) curve and conducted external independent validation. Expression of hub DMRGs was assessed for patients using the qPCR method. MiRNA interaction and immune infiltration were subsequently characterized. A total of 554 overlapping DMRGs were identified between the AZS/T2DM and healthy groups. These overlapping DMRG participated in the DNA damage-, energy metabolism-, and immune-related biological pathways. Module function analysis discovered that the top three PPI modules were tightly correlated with DNA damage-related processes. After external validation in other independent datasets, two hub DMRGs (TBC1D12 and SCG5) were obtained. ROC analysis revealed that TBC1D12 and SCG5 had good diagnostic performance (area under the curve > 0.75). Immune infiltration profile showed that the level of T cell co-stimulation and CD8+_T_cells were negatively related to the hub DMRGs expression. Mirna interaction analysis showed 15 significant hub DMRGs-miRNA interactions. The qPCR results showed that expression of TBC1D12 and SCG5 were significantly different between sperm samples from diabetic patients with AZS and controls. The present study revealed molecular signatures and critical pathways between the AZS and T2DM, and identified two hub DMRGs of TBC1D12 and SCG5. The data would provide novel understandings of shared pathogenic mechanisms in T2DM-associated AZS.

Pathogenic mechanisms in the evolution of food allergy.

The early development of the neonatal immune system is profoundly influenced by exposure to dietary and microbial antigens, which shapes mucosal tolerance. Successful oral tolerance induction is crucially dependent on microbially imprinted immune cells, most notably the RORγt+ regulatory T (Treg) and antigen presenting cells and is essential for preventing food allergy (FA). The development of FA can be envisioned to result from disruptions at key checkpoints (CKPTs) that govern oral tolerance induction. These include gut epithelial sensory and effector circuits that when dysregulated promote pro-allergic gut dysbiosis. They also include microbially imprinted immune regulatory circuits that are disrupted by dysbiosis and pro-allergic immune responses unleashed by the dysregulation of the aforementioned cascades. Understanding these checkpoints is essential for developing therapeutic strategies to restore immune homeostasis in FA.

Full-Length Immune Repertoire Reconstruction and Profiling at the Transcriptome Level Using Long-Read Sequencing.

Due to the diversity of the immune repertoire (IR), reconstructing full-length IR using traditional short-read sequencing has proven challenging. A full-length IR sequencing (FLIRseq) work flow was developed with linear rolling circle amplification and nanopore sequencing. Its accuracy and quantification ability were verified by plasmid mixtures and commercial B-cell receptor/T-cell receptor sequencing (BCR/TCR-seq) based on short reads. IRs in tissues and the peripheral blood from 8 patients with acute lymphoblastic leukemia, 3 patients with allergic diseases, 4 patients with psoriasis, and 5 patients with prostate cancer were analyzed using FLIRseq. FLIRseq reads had lower mismatch rates and gap rates, and higher identify rates than nanopore reads (all P < 2.2 × -16). The relative quantification of components by FLIRseq was consistent with the actual quantification (P > 0.05). FLIRseq had superiority over BCR/TCR-seq, providing the long complementarity-determining region 3, B-cell isotype, and the rarely used V gene sequence. FLIRseq observed an increase in clonotype diversity (P < 0.05) and a decrease in the percentage of abnormal BCRs/TCRs in patients with leukemia in remission. For patients with allergic diseases or psoriasis, FLIRseq provided direct insights into V(D)J recombination and specific immunoglobulin classes. Compared with that in prostate cancer tissues, the full-length V segment of the biased T-cell receptor β chain from lymphocytes in psoriatic tissues showed a more consistent AlphaFold2-predicted protein structure (P < 0.05). FLIRseq enables unbiased and comprehensive analyses of direct V(D)J recombination and immunoglobulin classes, thereby contributing to characterizing pathogenic mechanisms, monitoring minimal residual disease, and customizing adoptive cell therapy.

Editorial: Pathogenic mechanism of porcine viral disease

Editorial: Pathogenic mechanism of porcine viral disease

Copper homeostasis and cuproptosis in health and disease.

Copper is a vital trace element in human physiology, essential for the synthesis of numerous crucial metabolic enzymes and facilitation of various biological processes. Regulation of copper levels within a narrow range is imperative for maintaining metabolic homeostasis. Numerous studies have demonstrated the significant roles of copper homeostasis and cuproptosis in health and disease pathogenesis. However, a comprehensive and up-to-date systematic review in this domain remains absent. This review aims to consolidate recent advancements in understanding the roles of cuproptosis and copper homeostasis in health and disease, focusing on the underlying mechanisms and potential therapeutic interventions. Dysregulation of copper homeostasis, manifesting as either copper excess or deficiency, is implicated in the etiology of various diseases. Cuproptosis, a recently identified form of cell death, is characterized by intracellular copper overload. This phenomenon mediates a diverse array of evolutionary processes in organisms, spanning from health to disease, and is implicated in genetic disorders, liver diseases, neurodegenerative disorders, and various cancers. This review provides a comprehensive summary of the pathogenic mechanisms underlying cuproptosis and copper homeostasis, along with associated targeted therapeutic agents. Furthermore, it explores future research directions with the potential to yield significant advancements in disease treatment, health management, and disease prevention.

Elucidating the molecular markers and biological pathways associated with extrahepatic cholangiocarcinoma: a transcriptome sequencing study

BackgroundCholangiocarcinoma is a malignancy with high aggressiveness, and extrahepatic cholangiocarcinoma (ECCA) represents the predominant subtype. However, the molecular architecture and underlying pathogenic mechanisms of ECCA remain poorly understood. The objective of this study is to elucidate the molecular markers and biological pathways associated with ECCA.MethodsIn order to identify the factors influencing ECCA, we conducted transcriptome sequencing on a cohort of 8 surgically resected ECCA specimens. To validate our findings, we integrated data from The Cancer Genome Atlas and Gene Expression Omnibus (GEO) databases using batch integration analysis. Finally, we confirmed our results using clinical samples.ResultsThe findings of this study reveal that through the analysis of sequencing data, we have successfully identified the genes that are differentially expressed and have a significant role in the development of ECCA. Utilizing the Weighted Gene Co-expression Network Analysis approach, we have integrated these identified gene modules with the GEO dataset, leading to the identification of four key genes (PTGDS, ITIH2, LSAMP, HBB) that are strongly associated with the progression-free survival of ECCA. We screened a key gene LSAMP from four genes using immunohistochemistry. The gene primarily participate in crucial biological processes such as the ECCA cell cycle and DNA replication. The qRT-PCR reaction and Western Blot conducted on the tissues provided confirmation of the expression levels of the gene, which exhibited consistency with the outcomes of our analysis.ConclusionsOur study has successfully identified potential biomarkers LSAMP for ECCA, which can serve as valuable tools for early detection and targeted therapeutic interventions in clinical settings.

Gut microbiota metabolites: potential therapeutic targets for Alzheimer’s disease?

BackgroundAlzheimer’s disease (AD) is a neurodegenerative disease characterized by progressive decline in cognitive function, which significantly increases pain and social burden. However, few therapeutic interventions are effective in preventing or mitigating the progression of AD. An increasing number of recent studies support the hypothesis that the gut microbiome and its metabolites may be associated with upstream regulators of AD pathology.MethodsIn this review, we comprehensively explore the potential mechanisms and currently available interventions targeting the microbiome for the improvement of AD. Our discussion is structured around modern research advancements in AD, the bidirectional communication between the gut and brain, the multi-target regulatory effects of microbial metabolites on AD, and therapeutic strategies aimed at modulating gut microbiota to manage AD.ResultsThe gut microbiota plays a crucial role in the pathogenesis of AD through continuous bidirectional communication via the microbiota-gut-brain axis. Among these, microbial metabolites such as lipids, amino acids, bile acids and neurotransmitters, especially sphingolipids and phospholipids, may serve as central components of the gut-brain axis, regulating AD-related pathogenic mechanisms including β-amyloid metabolism, Tau protein phosphorylation, and neuroinflammation. Additionally, interventions such as probiotic administration, fecal microbiota transplantation, and antibiotic use have also provided evidence supporting the association between gut microbiota and AD. At the same time, we propose an innovative strategy for treating AD: a healthy lifestyle combined with targeted probiotics and other potential therapeutic interventions, aiming to restore intestinal ecology and microbiota balance.ConclusionDespite previous efforts, the molecular mechanisms by which gut microbes act on AD have yet to be fully described. However, intestinal microorganisms may become an essential target for connecting the gut-brain axis and improving the symptoms of AD. At the same time, it requires joint exploration by multiple centers and multiple disciplines.

Study of the role of leukocyte telomere length-related lncRNA NBR2 in Alzheimer's disease.

Alzheimer's Syndrome (AD) is a neurodegenerative disease that is prevalent in middle-aged and elderly people. As the disease progresses, patients gradually lose the ability to take care of themselves, which brings a heavy burden to the family. There is a link between leukocyte telomere length (LTL) and cognitive ability. To search for possible pathogenic mechanisms and potential therapeutic agents, we demonstrated a causal link between LTL and AD using Mendelian randomization analysis (MR). The expression of the target gene NBR2 and the downstream mRNA GJA1 and GJA1-related genes, pathway enrichment, and association with immune cells were further explored. Using the gene cluster-drug target interaction network, we obtained potential therapeutic drugs. Our study provides evidence for a causal link between AD and LTL, suggesting medicines that may treat and alleviate AD symptoms.

Tissue-aware interpretation of genetic variants advances the etiology of rare diseases.

Pathogenic variants underlying Mendelian diseases often disrupt the normal physiology of a few tissues and organs. However, variant effect prediction tools that aim to identify pathogenic variants are typically oblivious to tissue contexts. Here we report a machine-learning framework, denoted "Tissue Risk Assessment of Causality by Expression for variants" (TRACEvar, https://netbio.bgu.ac.il/TRACEvar/ ), that offers two advancements. First, TRACEvar predicts pathogenic variants that disrupt the normal physiology of specific tissues. This was achieved by creating 14 tissue-specific models that were trained on over 14,000 variants and combined 84 attributes of genetic variants with 495 attributes derived from tissue omics. TRACEvar outperformed 10 well-established and tissue-oblivious variant effect prediction tools. Second, the resulting models are interpretable, thereby illuminating variants' mode of action. Application of TRACEvar to variants of 52 rare-disease patients highlighted pathogenicity mechanisms and relevant disease processes. Lastly, the interpretation of alltissue models revealed that top-ranking determinants of pathogenicity included attributes of disease-affected tissues, particularly cellular process activities. Collectively, these results show thattissue contexts and interpretable machine-learning models can greatly enhance the etiology of rare diseases.

Integrated transcriptomic and metabolic analyses reveal the early response mechanism of Pinus tabulaeformis to pine wood nematodes

Pine wilt disease (PWD) is a devastating disease of pine trees caused by the pine wood nematode (Bursapherenchus xylophilus, PWN). To study how Pinus tabulaeformis responds to PWD infection, we collected 3-year-old P. tabulaeformis seedlings at 2 days, 5 days, and 8 days after being infected with B. xylophilus. We identified genes and metabolites early responding to infection using transcriptome and metabolomic data obtained by high-throughput mRNA sequencing (RNA-seq) and liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based assays, respectively. The following results were obtained: (1) After inoculation with PWN, the average number of days taken for 3-year-old P. tabulaeformis seedlings to develop symptoms was 8 days. (2) Combined transcriptome and metabolome analysis revealed that phenylpropanoid biosynthesis and flavonoid biosynthesis are critically important pathways for P. tabulaeformis to respond to PWD. (3) The response of P. tabulaeformis to stress was mainly through positive regulation of gene expression, including some key genes related to plant hormones or transcription factors that have been widely studied. Genes related to pathways such as photosynthesis, plant-pathogen interactions, and DNA replication were downregulated. (4) Terpenoid biosynthesis genes involved during the development of pine wilt disease. This study demonstrated the defence and pathogenic mechanisms of P. tabulaeformis against PWD, providing a reference for the early diagnosis of PWD.

PIAS1 S510G variant acts as a genetic modifier of spinocerebellar ataxia type 3 by selectively impairing mutant ataxin-3 proteostasis

Dysregulated protein homeostasis, characterized by abnormal protein accumulation and aggregation, is a key contributor to the progression of neurodegenerative disorders such as Huntington's disease and spinocerebellar ataxia type 3 (SCA3). Previous studies have identified PIAS1 gene variants in patients with late-onset SCA3 and Huntington's disease. This study aims to elucidate the role of PIAS1 and its S510G variant in modulating the pathogenic mechanisms of SCA3. Through in vitro biochemical analyses and in vivo assays, we demonstrate that PIAS1 stabilizes both wild-type and mutant ataxin-3 (ATXN3). The PIAS1 S510G variant, however, selectively reduces the stability and SUMOylation of mutant ATXN3, thereby decreasing its aggregation and toxicity while maintaining the stability of wild-type ATXN3. This effect is mediated by a weakened interaction with the SUMO-conjugating enzyme UBC9 in the presence of mutant ATXN3. In Drosophila models, downregulation of dPIAS1 resulted in reduced levels of mutant ATXN3 and alleviated associated phenotypes, including retinal degeneration and motor dysfunction. Our findings suggest that the PIAS1 S510G variant acts as a genetic modifier of SCA3, highlighting the potential of targeting SUMOylation as a therapeutic strategy for this disease.

Clinical Application of Thyrotropin Receptor Antibodies.

Thyrotropin receptor antibodies (TRAb) are specific for Graves' disease (GD) and play a crucial role in the pathogenesis of GD. TRAb assays have recently been greatly improved. This review discusses the clinical application of TRAb in the differential diagnosis of hyperthyroidism, the prognosis of GD, GD in gestation and pediatrics, and GD related ophthalmopathy (GO). In addition to the classical competition and bioassays, a new bridging assay has emerged for TRAb assays. TRAb is the main pathogenic mechanism of hyperthyroidism in GD. Treated GD still has a high rate of recurrence and even a short-term surge of TRAb, leading to rapid deterioration of GO. Fetal goiter may be associated with elevated maternal TRAb during pregnancy, overtreatment may lead to fetal hypothyroidism. Pediatric patients with GD have high TRAb, poor remission from treatment, and insignificant manifestations of GO. TRAb is significantly correlated with GO activity and severity. Currently, TRAb assay has high specificity and sensitivity and can be used directly to identify the cause of hyperthyroidism. TRAb can be used to predict recurrence of drug treated GD or progression of GO after RAI therapy. TRAb should be measured regularly for GD in gestation to guide anti-thyroid medication to avoid thyrotoxicosis or hypothyroidism in the fetus. Monitoring TRAb in pediatric GD may help control the progression of GO. TRAb assay is an important guide for the treatment of GO.

Interplay between bone marrow adiposity and bone resorption in RANKL-mediated modelled osteoporosis.

Bone marrow adipose tissue (BMAT) accrues in osteoporosis, whereas its contribution to the progression of bone resorption remains insufficiently understood. To understand the mechanisms that promote BMAT expansion in osteoporosis, in the present study, we performed extensive analysis of the spatiotemporal pattern of BMAT expansion during the progression of bone resorption in TgRANKL transgenic mouse models of osteoporosis expressing human RANKL (receptor activator of nuclear factor-κB ligand). Our results showed that TgRANKL mice of both sexes developed dramatically increased BMAT expansion compared to wild-type (WT) littermates, that was analogous to the levels of RANKL expression and the severity of the bone loss phenotype. BMAT was formed at close proximity to areas undergoing active bone remodelling and bone resorption, whereas bone resorption preceded BMAT development. Expression analysis in bone fractions demonstrated that BMAT constitutes a major source for RANKL production. Ex vivo analysis of isolated bone marrow stromal cells from TgRANKL mice showed an increased adipogenic differentiation capacity compared to WT, while osteoclast supernatants further exaggerated adipogenesis, supporting a critical role of the osteoclast-derived secretome in the differentiation of bone marrow adipocytes. Furthermore, the effectiveness of an antiosteoporosis treatment in BMAT development was investigated upon treatment of TgRANKL models with the bisphosphonate alendronate. Notably, alendronate effectively improved bone mass and attenuated BMAT expansion, indicating a possible involvement of osteoclasts and bone resorption in BMAT development. On the contrary, inhibition of BMAT with PPARγ antagonists (GW9662 or BADGE) effectively ameliorated BMAT expansion but failed to reverse the osteoporotic phenotype of TgRANKL mice. Overall, our data demonstrate that TgRANKL mice constitute unique genetic mouse models for investigating the pathogenic mechanisms that regulate the development and expansion of BMAT in osteolytic diseases.

Fanconi Anemia a Rare Disease

Fanconi anemia (FA) is a genetically and phenotypically recessive autosomal illness. Fanconi anemia (FA), a rare genetic illness, is currently receiving more attention from hematologists, cancer biologists, and fundamental scientists studying DNA repair and ubiquitin biology. Chromosome instability, progressive bone marrow failure, cancer susceptibility, and several other congenital anomalies are its defining characteristics. All three blood cell lines are included. This is a fatal illness that typically strikes children under the age of five. One of the fastest-growing fields of medical study is FA. The discovery of 15 distinct FA genes and the clarification of the FA molecular pathways have contributed to our knowledge of the pathogenic mechanism and, in many cases, the development of treatment guidelines. Because FA possesses distinct traits in many different biological areas, investigations on FA provided significant material for studies on malignancies. Research has demonstrated a genetic relationship between FA and cancer, showing that both cancer genes and FA genes are present in malignancies. FA is therefore identified as a prototypical illness for the comprehension of aging and cancer. Here we review the incidence of FA, Genetics, Pathophysiology, impact of FA, Identification of FA genes and delineation of FA pathways, Symptoms and indication, Diagnosis, Management, Complication and Prevention, and patient education about FA.

Insights into pathogenicity mechanisms of Phytophthora meadii, the abnormal leaf fall pathogen in rubber tree, through whole genome sequencing and analysis

Hevea brasiliensis (Willd. ex A.Juss.) Müll. Arg., also known as the Para rubber tree is the main commercial source of natural rubber. Phytophthora meadii causing abnormal leaf fall (ALF) disease is the most destructive and recurrent disease of rubber trees in India, leading to significant annual economic losses. To comprehend its pathogenic mechanisms and investigate stratagems for disease control, whole-genome sequencing and analysis of P. meadii were conducted. The P. meadii genome was sequenced using the standard Illumina Novaseq 6000 Platform. The assembled P. meadii genome is approximately 53 Mb in size, consisting of 13,171 contigs with an N50 of 7105 and a BUSCO completeness of 96 %. A total of 14,646 protein-coding genes were predicted, with an average GC content of 49.96 %. P. meadii's genome contains 750 carbohydrate-active enzymes (CAZymes), which is notably higher compared to closely related species. Five genomic regions potentially encoding enzymes for secondary metabolite production and 1877 pathogenic proteins were also identified. Our data confirm the phylogenetic positioning of P. meadii as a distinct species and indicate that it forms a closely related clade with P. citrophthora. Analyzing the P. meadii genome not only aids in understanding its genomic traits but also facilitates the identification of genes related to pathogenesis and will give a better understanding of the Hevea – Phytophthora interaction.