Publications by authors named "Jia-Jun Qiu"

Ischemic stroke is the second leading cause of death worldwide, and there are limited effective treatment strategies. QHRD106, a polyethyleneglycol (PEG)-modified long-acting tissue kallikrein preparation, has not been reported previously. In this study, we aimed to investigate the therapeutic effect of QHRD106 in ischemic stroke and its possible mechanism.

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  • Down syndrome (DS) is the most common genetic cause of intellectual disability, and a study aims to uncover its molecular mechanisms using single-cell RNA sequencing.
  • Researchers differentiated induced pluripotent stem cells (iPSCs) from DS patients and normal controls into neural stem cells (NSCs), finding significant differences in cell differentiation patterns.
  • The study highlights abnormal gene expression in DS-iPSCs that hinder their progression to NSCs, leading to increased glial cell formation and impaired neuronal development, thus providing new insights into the underlying causes of DS.
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Differentiation of ductal carcinoma in situ (DCIS, a precancerous lesion of the breast) from fibroadenoma (FA) using ultrasonography is significant for the early prevention of malignant breast tumors. Radiomics-based artificial intelligence (AI) can provide additional diagnostic information but usually requires extensive labeling efforts by clinicians with specialized knowledge. This study aims to investigate the feasibility of differentially diagnosing DCIS and FA using ultrasound radiomics-based AI techniques and further explore a novel approach that can reduce labeling efforts without sacrificing diagnostic performance.

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Alzheimer's disease (AD) is the most common neurodegenerative disease and has an insidious onset. Exploring the characteristics and mechanism of the early symptoms of AD plays a critical role in the early diagnosis and intervention of AD. Here we found that depressive-like behavior and short-term spatial memory dysfunction appeared in APPswe/PS1dE9 mice (AD mice) as early as 9-11 weeks of age.

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Backgroud: Tumor grade is the determinant of the biological aggressiveness of pancreatic neuroendocrine tumors (PNETs) and the best current tool to help establish individualized therapeutic strategies. A noninvasive way to accurately predict the histology grade of PNETs preoperatively is urgently needed and extremely limited.

Methods: The models training and the construction of the radiomic signature were carried out separately in three-phase (plain, arterial, and venous) CT.

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Ischemic stroke is a devastating disease with high morbidity and mortality rates, and the proinflammatory microglia-mediated inflammatory response directly affects stroke outcome. Previous studies have reported that JLX001, a novel compound with a structure similar to that of cyclovirobuxine D (CVB-D), exerts antiapoptotic, anti-inflammatory and antioxidative effects on ischemia-induced brain injury. However, the role of JLX001 in microglial polarization and nucleotide-binding oligomerization domain (NOD)-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome regulation after ischemic stroke has not been fully investigated.

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  • Down syndrome (DS) is primarily characterized by mental retardation, with neural abnormalities starting early in embryonic development and persisting throughout life.* -
  • The Tc1 mouse model, which has a significant portion of human chromosome 21, shows multiple neurological issues similar to those found in DS patients and was used to study early neural abnormalities.* -
  • Research revealed hypermethylation in Tc1 induced pluripotent stem (iPS) cells, leading to abnormal gene expression linked to neurodevelopment, suggesting that these methylation changes contribute to nervous system issues in DS.*
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  • Early screening of pancreatic ductal adenocarcinoma (PDAC) using plain CT images is crucial, and this study focuses on a new method called MSTA (multiresolution-statistical texture analysis) to improve diagnosis.
  • The MSTA architecture effectively extracts texture features, leading to machine learning models that distinguish between PDACs and healthy pancreases, achieving an accuracy of 81.19% in validations and 77.66% in tests.
  • Furthermore, the study found that the texture features extracted using the MSTA are likely related to histopathological characteristics, suggesting they could improve radiologists' ability to interpret images.
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Background: In regular examinations, it may be difficult to visually identify benign and malignant liver tumors based on plain computed tomography (CT) images. RCAD (radiomics-based computer-aided diagnosis) has proven to be helpful and provide interpretability in clinical use.

Objective: This work aims to develop a CT-based radiomics signature and investigate its correlation with malignant/benign liver tumors.

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Background: In a pathological examination of pancreaticoduodenectomy for pancreatic head adenocarcinoma, a resection margin without cancer cells in 1 mm is recognized as R0; a resection margin with cancer cells in 1 mm is recognized as R1. The preoperative identification of R0 and R1 is of great significance for surgical decision and prognosis. We conducted a preliminary radiomics study based on preoperative CT (computer tomography) images to evaluate a resection margin which was R0 or R1.

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Trisomy 21 is the most common chromosomal disorder and underlies Down syndrome. Epigenetics, such as DNA methylation and post-translational histone modifications, plays a vital role in Down syndrome. However, the functions of epigenetics-related long noncoding RNAs (lncRNAs), found to have an impact on neural diseases such as Alzheimer's disease, remain unknown in Down syndrome.

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Epigenetics regulations have an important role in fertilization and proper embryonic development, and several human diseases are associated with epigenetic modification disorders, such as Rett syndrome, Beckwith-Wiedemann syndrome and Angelman syndrome. However, the dynamics and functions of long non-coding RNAs (lncRNAs), one type of epigenetic regulators, in human pre-implantation development have not yet been demonstrated. In this study, a comprehensive analysis of human and mouse early-stage embryonic lncRNAs was performed based on public single-cell RNA sequencing data.

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  • Colorectal cancer (CRC) is the fourth leading cause of cancer deaths globally, and recent research highlights the potential of long non-coding RNAs (lncRNAs) as important prognostic biomarkers that could enhance existing staging systems.
  • In a study analyzing five gene expression datasets, 25 lncRNAs were found to be differentially expressed between CRC tissues and adjacent normal tissues, with higher levels of specific lncRNAs associated with better survival rates in patients.
  • LINC01296, in particular, was identified as a significant independent predictor of patient prognosis, signaling its potential as a novel biomarker for CRC diagnosis.
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