Publications by authors named "Guan Lin"

Fusarium oxysporum is a destructive plant pathogen with robust survival mechanisms, complicating control efforts. This study aimed to develop nanoformulated fungicides, screen antagonistic bacteria, and evaluate their combined efficacy. A novel self-emulsifying nanoemulsion (DZW) was formulated using zein and benzaldehyde-modified wheat gluten (BgWG) as carriers for dimethachlon (DTN).

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  • Bacterial wilt disease, caused by a soil-borne pathogen, significantly impacts crop economies globally.
  • The study isolated strain MLY102 from a diseased tobacco stalk and conducted a series of genomic analyses, revealing its ability to utilize certain carbon sources and details of its genomic structure.
  • MLY102's genome consists of 5.72 Mb and includes unique genes, indicating it has specific traits that could aid in developing strategies for managing bacterial wilt disease.
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Aim: Methamphetamine use disorders (MUDs) cause widespread disruptions in metabolomic and immunologic processes, highlighting the need for new therapeutic approaches. The purpose of this study was to find molecular and neuroimaging biomarkers for methamphetamine addiction.

Methods: In this study, we recruited 231 patients with MUD at varying stages of withdrawal and 40 healthy controls to quantify the blood levels of 52 molecules using enzyme-linked immunosorbent assay.

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  • This study evaluates the predictive value of soluble growth stimulation expressed gene 2 protein (sST2) for long-term clinical outcomes in patients with acute heart failure (AHF), particularly focusing on those with a history of myocardial infarction (MI).
  • Researchers followed 149 hospitalized AHF patients over three years and found that higher sST2 levels were significantly associated with major adverse cardiovascular events (MACEs), including heart failure readmissions and mortality.
  • The findings highlight sST2 as a strong predictor for patients with prior MI, suggesting that monitoring sST2 levels could improve patient management in this high-risk group.
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  • * Researchers identified a unique group of 897 genes that are highly expressed in infancy, particularly related to neuronal functions, with a notable connection to psychiatric disorders.
  • * MYT1L was highlighted as a key transcription factor in regulating these genes, which could aid in developing early detection and intervention strategies for related disorders.
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This study presents the complete gene sequence of a strain isolated from tobacco spot disease leaves in Xingyi, Guizhou Province, China. The genetic understanding of is advanced by this research.

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  • * A new multifunctional supramolecular hyaluronic acid hydrogel dressing (GHPM) has been developed, showcasing properties like excellent tissue adhesion, antibacterial action, conductivity, and antioxidant capabilities, while also maintaining injectable and self-healing functions.
  • * Treatment with the GHPM hydrogel accelerates wound healing by preventing infections and promoting collagen deposition, especially when combined with electrical stimulation, which enhances angiogenesis and neurogenesis for better overall recovery.
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  • * Researchers analyzed data from multiple sources involving over 34,000 HFpEF patients and found seven key predictors for all-cause mortality, including factors like age, sex, diabetes, and anemia.
  • * The resulting risk assessment model has a moderate accuracy (71.3% area under the ROC curve) and identified an optimal cutoff score which can help clinicians better manage patient risks.
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Background: The different symptoms of major depressive disorder (MDD) in adolescents compared to adults suggested there may be differences in the pathophysiology between adolescents and adults with MDD. However, despite the amygdala being considered critical in the pathophysiology, there was limited knowledge about the commonalities and differences in the resting-state functional connectivity (rsFC) of amygdala subregions in MDD patients of different age groups.

Methods: In the current study, 65 adolescents (46 with MDD and 19 controls) and 91 adults (35 with MDD and 56 controls) were included.

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  • * Researchers found higher mRNA levels of RNF4 and SART3 in SCZ patients compared to controls and identified specific genetic variants (SNPs) related to increased SCZ risk.
  • * Experiments suggested that SART3 regulates RNF4 expression through ubiquitination, indicating a potential shared mechanism influencing SCZ risk, which could help in developing new treatment strategies.
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Recent research has highlighted associations between sleep and microbial taxa and pathways. However, the causal effect of these associations remains unknown. To investigate this, we performed a bidirectional two-sample Mendelian randomization (MR) analysis using summary statistics of genome-wide association studies (GWAS) from 412 gut microbiome traits (N = 7738) and GWAS studies from seven sleep-associated traits (N = 345,552 to 386,577).

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Differences in clinical manifestations and biological underpinnings between Major Depressive Disorder (MDD) onset during adolescence and adulthood have been posited in previous studies, implying an influential role of age of onset (AOO) in the clinical subtyping and therapeutic approaches to MDD. However, direct comparisons between the two cohorts and their age-matched controls have been lacking in extant investigations. In this investigation, 156 volunteers participated, comprising 46 adolescents with MDD (adolescent-onset group), 35 adults with MDD (adult-onset group), 19 healthy adolescents, and 56 healthy adults.

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Background: As the global aging process continues to accelerate, heart failure (HF) has become an important cause of increased morbidity and mortality in elderly patients. Chronic atrial fibrillation (AF) is a major risk factor for HF. Patients with HF combined with AF are more difficult to treat and have a worse prognosis.

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Background: The role of human lineage mutations (HLMs) in human evolution through post-transcriptional modification is unclear.

Aims: To investigate the contribution of HLMs to human evolution through post-transcriptional modification.

Methods: We applied a deep learning model Seqweaver to predict how HLMs impact RNA-binding protein affinity.

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  • * Researchers developed a mineralized hydrogel (PVA-Ag-PHA) that incorporates green-synthesized silver nanoparticles, which provides strong antibacterial effects while promoting bone growth and healing.
  • * The PVA-Ag-PHA hydrogel not only eliminates harmful bacteria but also enhances the local release of calcium and phosphate ions, creating a bioactive environment that supports cell adhesion and accelerates bone regeneration in a rat model.
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We propose a new framework for human genetic association studies: at each locus, a deep learning model (in this study, Sei) is used to calculate the functional genomic activity score for two haplotypes per individual. This score, defined as the Haplotype Function Score (HFS), replaces the original genotype in association studies. Applying the HFS framework to 14 complex traits in the UK Biobank, we identified 3619 independent HFS-trait associations with a significance of p < 5 × 10.

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A multiple sub-pupil ultra-spectral imaging system designed with a single spectrometer and detector can simultaneously detect multiple-channel spectra with ultra-high spectral resolution. However, due to using a prism in the system's front end, the nonlinear dispersion introduces spectral line tilt in the imaging spectra. This phenomenon can lead to bias in the final spectral data.

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  • - High levels of reactive oxygen species (ROS) contribute significantly to the damage following spinal cord injury (SCI), making ROS scavenging a possible treatment strategy to improve recovery.
  • - Ultra-small gold nanodots (AuNDs) were developed as a biomaterial that both reduces ROS and enhances imaging for identifying SCI locations, facilitating better diagnosis and treatment.
  • - The AuNDs not only protect against oxidative stress and inflammation but also provide clear imaging contrast between injured and healthy spinal cord areas, offering a new avenue for effective SCI management.
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Introduction: The study focuses on the long-term prognosis of myocardial infarction (MI) influenced by neutrophil extracellular traps (NETs). It also aims to analyze and validate relative hub genes in this process, in order to further explore new therapeutic targets that can improve the prognosis of MI.

Materials And Methods: We established a MI model in mice by ligating the left anterior descending branch (LAD) and conducted an 8-week continuous observation to study the dynamic changes in the structure and function of the heart in these mice.

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Obsessive-compulsive disorder (OCD) is a chronic and debilitating psychiatric disorder that affects ∼2%-3% of the population globally. Studying spontaneous OCD-like behaviors in non-human primates may improve our understanding of the disorder. In large rhesus monkey colonies, we found 10 monkeys spontaneously exhibiting persistent sequential motor behaviors (SMBs) in individual-specific sequences that were repetitive, time-consuming and stable over prolonged periods.

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Precision medicine based on personalized genomics provides promising strategies to enhance the efficacy of molecular-targeted therapies. However, the clinical effectiveness of drugs has been severely limited due to genetic variations that lead to drug resistance. Predicting the impact of missense mutations on clinical drug response is an essential way to reduce the cost of clinical trials and understand genetic diseases.

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  • Surgery, radiotherapy (RT), and brachytherapy are important methods for treating localized tumors, but inaccuracies in tumor location can lead to complications like damaged healthy tissue and ineffective treatment.
  • The new theranostic platform using Au/Ag nanodots (Au/AgNDs) offers real-time guidance for these treatments, increasing the precision of RT and improving outcomes in brachytherapy.
  • Au/AgNDs enhance tumor targeting through dual-mode imaging, which boosts radiation efficacy, distinguishes tumors from normal tissue, and assists surgeons during operations, collectively improving cancer treatment strategies.
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