Publications by authors named "Majie Wang"

Objective: Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) are common neurodegenerative diseases with distinct but overlapping pathogenic mechanisms. The clinical similarities between these diseases often result in high misdiagnosis rates, leading to serious consequences. Peripheral blood mononuclear cells (PBMCs) are easy to collect and can accurately reflect the immune characteristics of both DLB and AD.

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The behavioral sensitization, characterized by escalated behavioral responses triggered by recurrent exposure to psychostimulants, involves neurobiological mechanisms that are brain-region and cell-type specific. Enduring neuroadaptive changes have been observed in response to methamphetamine (METH) within the orbitofrontal cortex (OFC), the cell-type specific transcriptional alterations in response to METH sensitization remain understudied. In this study, we utilized Single-nucleus RNA-sequencing (snRNA-seq) to profile the gene expression changes in the OFC of a rat METH sensitization model.

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Pheochromocytomas and paragangliomas (PPGLs) cause symptoms by altering the circulation levels of catecholamines and peptide hormones. Currently, the diagnosis of PPGLs relies on diagnostic imaging and the detection of catecholamines. In this study, we used ultra-performance liquid chromatography (UPLC)/quadrupole time-of-flight mass spectrometry (Q-TOF MS) analysis to identify and measure the perioperative differential metabolites in the plasma of adrenal pheochromocytoma patients.

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N-Isopropylbenzylamine (N-ipb), a chain isomer of methamphetamine (METH) with similar physical properties, has been used as a substitute for METH in seized drug samples. However, the abuse potential of N-ipb remains unclear. Therefore, this study aimed to evaluate the abuse potential of N-ipb in comparison to METH, by using conditioned place preference (CPP), locomotor sensitization and intravenous self-administration tests.

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Objective: As an important part of metabolomics analysis, untargeted metabolomics has become a powerful tool in the study of tumor mechanisms and the discovery of metabolic markers with high-throughput spectrometric data which also poses great challenges to data analysis, from the extraction of raw data to the identification of differential metabolites. To date, a large number of analytical tools and processes have been developed and constructed to serve untargeted metabolomics research. The different selection of analytical tools and parameter settings lead to varied results of untargeted metabolomics data.

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In our previous multicenter study, we delineated the inherent metabolic features of colorectal cancer (CRC). Therein, we identified a member of the ectonucleotide pyrophosphatase/ phosphodiesterase family (ENPP2) as a significant differential metabolite of CRC. In this study, the role of ENPP2 in CRC has been demonstrated using established in vitro and in vivo models including ENPP2 gene knockdown, and use of the ENPP2 inhibitor, GLPG1690.

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The neurobiological mechanism underlying methamphetamine (MA) use disorder was still unclear, and no specific biomarker exists for clinical diagnosis of this disorder. Recent studies have demonstrated that microRNAs (miRNAs) are involved in the pathological process of MA addiction. The purpose of this study was to identify novel miRNAs for the diagnosis biomarkers of MA user disorder.

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Transfer RNA-derived small RNAs (tsRNAs) are a novel class of short, non-coding RNAs that are closely associated with the pathogenesis of various diseases. Accumulating evidence has demonstrated their critical functional roles as regulatory factors in gene expression regulation, protein translation regulation, regulation of various cellular activities, immune mediation, and response to stress. However, the underlying mechanisms by which tRFs & tiRNAs affect methamphetamine-induced pathophysiological processes are largely unknown.

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Objective: Gut microbiota dysbiosis is closely linked to the pathogenesis of rheumatoid arthritis (RA). We aimed to identify potential probiotic gut microbes that can ameliorate the development of RA.

Design: Microbiota profiling in patients with RA and healthy individuals was investigated via 16S rDNA bacterial gene sequencing and shotgun metagenomics.

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Article Synopsis
  • The study investigates metabolic changes related to solitary pulmonary nodules (SPNs) using plasma samples to identify potential diagnostic markers.
  • It analyzed 1160 plasma samples from healthy individuals and patients with benign or malignant SPNs using advanced mass spectrometry techniques.
  • Results showed distinct metabolic profiles between healthy individuals and SPN patients, but no significant differences existed between benign and malignant SPNs, indicating early metabolic changes but limited differentiation in later stages.
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In this work, we examined whether baicalin (BC), a bioactive flavonoid in Scutellaria baicalensis Georgi, can reduce high-fat diet (HFD)-induced metabolic syndrome (MetS) in mice. The UPLC-QTOF/MS was used for metabolome profiles analysis, and an analysis of bacterial 16S rDNA in feces was used to examine the effects of BC on gut microbiota composition. Our results showed that BC (400 mg/kg) could reduce the body weight gain, decrease hepatic fat accumulation and abnormal blood lipids, and increase insulin sensitivity after 8 weeks of treatment.

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Objectives: This study aimed to characterize the systemic lipid profile of patients with asymptomatic hyperuricemia (HUA) and gout using lipidomics, and to find potential underlying pathological mechanisms therefrom.

Methods: Sera were collected from Affiliated Hospital of Nanjing University of Chinese Medicine as centre 1 (discovery and internal validation sets) and Suzhou Hospital of Traditional Chinese Medicine as centre 2 (external validation set), including 88 normal subjects, 157 HUA and 183 gout patients. Lipidomics was performed by ultra high performance liquid chromatography plus Q-Exactive mass spectrometry (UHPLC-Q Exactive MS).

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Compatibility remains among the crucial and significant characteristics of traditional Chinese medicines. The Gardeniae Fructus (FG)-Forsythiae Fructus (FF) herb pair, an epitome of formulations for heat-clearing and detoxification, is extensively used to treat bacterial pneumonia in clinical settings. However, there are few reports on their synergistic effects.

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Article Synopsis
  • * A study analyzed serum and urine samples from 90 HSPN patients to identify metabolic markers that could distinguish those with severe kidney damage (HSPN +) from those without symptoms (HSPN -).
  • * The research found 38 and 50 distinct metabolites in serum and urine, respectively, with specific pathways related to glycerophospholipid and pyruvate metabolism; two metabolites, choline and -vaccenic acid, showed potential as biomarkers to predict disease
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Stress urinary incontinence (SUI), which is defined as an involuntary loss of urine upon physical exertion coughing, sneezing or laughing, has a significant negative impact on the quality of life of many women. Multi-center, large-scale and randomized clinical trials have illustrated that non-invasive electroacupuncture is an effective treatment for SUI, but its therapeutic mechanism in treating SUI remains unknown. Here, gas chromatography-mass spectrometry based serum metabolomics was performed to reveal metabolic profiles and diagnostic biomarkers from recruitment of 25 patients and 25 healthy women before and after electroacupuncture.

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A novel polysaccharide named as AERP was extracted from industrial Astragalus membranaceus-extracted waste residue, which was composed of two components coded as AERP1 and AERP2. The structures of AERP1 and AERP2 were determined by HPLC-SEC-RID, HPLC-C-UV, FT-IR, and NMR. The results showed that AERP1 was an acidic component with a molecular weight of 2.

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Article Synopsis
  • A large cohort of 1,540 matched samples and 114 tissues showed significant metabolic differences between healthy individuals and those with nodules, but BTN and PTC displayed overlapping metabolic signatures.
  • A panel of 6 metabolic markers was identified, achieving high accuracy in distinguishing healthy controls from thyroid nodules, which may help reduce unnecessary treatments for patients with benign conditions.
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