Publications by authors named "Li-Fang Liu"

Background: Familial hypercholesterolemia (FH) is an inherited disorder mainly marked by increased low-density lipoprotein cholesterol (LDL-C) concentrations and a heightened risk of early-onset arteriosclerotic cardiovascular disease (ASCVD). This study seeks to characterize the genetic spectrum and genotype‒phenotype correlations of FH in Chinese pediatric individuals.

Methods: Data were gathered from individuals diagnosed with FH either clinically or genetically at multiple hospitals across mainland China from January 2016 to June 2024.

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Article Synopsis
  • This study addresses the limitations of current methods assessing mitochondrial complex activity, which often require fresh and large samples and focus on single reactions within mitochondria.
  • Researchers developed a sensitive analytical technique using mass spectrometry to measure a range of metabolites (MRCMs) that reflect overall mitochondrial function at the whole-cell level instead.
  • By applying machine learning, they identified specific metabolites related to Complex I activity, providing a new approach to evaluate mitochondrial health without the constraints of traditional methods.
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Aerobic granular sludge (AGS) capable of nitrogen and phosphorus removal is mainly limited to the applications in sequencing batch reactors. This study introduced an innovative continuous self-circulating up-flow fluidized bed process (Zier process) using separate aeration. The process was composed of an anoxic column (Zier-A), aeration column (Zier-OO) and aerobic column (Zier-O), and was used to treat actual municipal sewage continuously for 170 days.

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Anther dehiscence is a crucial event in plant reproduction, tightly regulated and dependent on the lignification of the anther endothecium. In this study, we investigated the rapid lignification process that ensures timely anther dehiscence in Arabidopsis. Our findings reveal that endothecium lignification can be divided into two distinct phases.

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Glutathione (GSH) redox control and arginine metabolism are critical in regulating the physiological response to injury and oxidative stress. Quantification assessment of the GSH/arginine redox metabolism supports monitoring metabolic pathway shifts during pathological processes and their linkages to redox regulation. However, assessing the redox status of organisms with complex matrices is challenging, and single redox molecule analysis may not be accurate for interrogating the redox status in cells and in vivo.

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The synthesis of 12α-hydroxylated bile acids (12HBAs) and non-12α-hydroxylated bile acids (non-12HBAs) occurs via classical and alternative pathways, respectively. The composition of these BAs is a crucial index for pathophysiologic assessment. However, accurately differentiating 12HBAs and non-12HBAs is highly challenging due to the limited standard substances.

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Metabolomics has emerged as a powerful tool in biomedical research to understand the pathophysiological processes and metabolic biomarkers of diseases. Nevertheless, it is a significant challenge in metabolomics to identify the reliable core metabolites that are closely associated with the occurrence or progression of diseases. Here, we proposed a new research framework by integrating detection-based metabolomics with computational network biology for function-guided and network-based identification of core metabolites, namely, FNICM.

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Tripterygium wilfordii (TW), a well-known traditional Chinese medicine, was widely used in the treatment of autoimmune disorders and inflammatory diseases. However, the clinical use of TW was limited by severe toxicities, such as hepatotoxicity and nephrotoxicity. Our previous studies indicated that roasting was an effective approach for reducing TW-induced toxicity.

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Background: The "one-to-multiple" phenomenon is prevalent in medicinal herbs. Accurate species identification is critical to ensure the safety and efficacy of herbal products but is extremely challenging due to their complex matrices and diverse compositions.

Purpose: This study aimed to identify the determinable chemicalome of herbs and develop a reasonable strategy to track their relevant species from herbal products.

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Chemical investigation of the deep-sea-derived fungus Hypocrea sp. ZEN14 afforded a new 3α-hydroxy steroidal lactone, hyposterolactone A (1) and 25 known secondary metabolites (2-26). The structure of the new compound was established by detailed spectroscopic analysis, electronic circular dichroism (ECD) calculation as well as a J-based configuration analysis.

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Anammox is a green, economical and efficient nitrogen removal process. Most successful anammox studies are based on biofilm- or granule-based systems, but pure floc sludge partial nitrification (PN) and anammox (A) systems that are not inoculated with anaerobic ammonia oxidizing bacteria (AnAOB) are rarely reported. If the anammox process occurs in floc-based systems, the large specific surface areas provide more efficient nitrogen removal, and are much more economical in terms of construction and investment.

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Background: Semen Aesculi, a traditional Chinese herbal medicine, has a long history of use for treating chest and abdominal pain with distension. In addition, the horse chestnut (Aesculus hippocastanum L.) is another species of Aesculus in Europe and has notable clinical significance in alleviating chronic venous insufficiency, hemorrhoids, and postoperative edema.

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Postoperative delirium (POD) is common in the elderly and is associated with poor clinical outcomes. Reactive oxygen species (ROS) and blood-brain barrier (BBB) damage have been implicated in the development of POD, but the association between these two factors and the potential mechanism is not clear. Cyclophilin A (CypA) is a specifically chemotactic leukocyte factor that can be secreted in response to ROS, which activates matrix metalloproteinase 9 (MMP9) and mediates BBB breakdown.

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Collision cross section (CCS) values generated from ion mobility mass spectrometry (IM-MS) have commonly been employed to facilitate lipid identification. However, this is hindered by the limited available lipid standards. Recently, CCS values were predicted by means of computational calculations, though the prediction precision was generally not good and the predicted CCS values of the lipid isomers were almost identical.

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Deep profiling of chemicalome in Chinese medicinal formulas is vital for disclosing the secret underlying their effectiveness. To address this issue, an in-house database-driven untargeted identification strategy was proposed with the use of ultra-performance liquid chromatography coupled to quadrupole time of flight mass spectrometry. Firstly, an in-house mass spectral database for the analyzed herbs was constructed, and database querying was performed for rapid recognition of known compounds.

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Background: Total knee arthroplasty (TKA) is a severe traumatic procedure, and femoral nerve block (FNB) combined with a sciatic nerve block (SNB) is widely used in TKA. However, injury of the sciatic nerve is clinically reported. Dexmedetomidine (DEX) could reduce stress and inflammation, as well as improve pain in TKA.

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Mangrove actinomycetia are considered one of the promising sources for discovering novel biologically active compounds. Traditional bioactivity- and/or taxonomy-based methods are inefficient and usually result in the re-discovery of known metabolites. Thus, improving selection efficiency among strain candidates is of interest especially in the early stage of the antibiotic discovery program.

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Liver toxicity induced by Triptolide (TP) has limited its clinical application on rheumatoid arthritis (RA). Saponins have been proved as an efficacious remedy to mitigate hepatotoxicity. However, the mechanism of reducing hepatotoxicity by saponins intervention remains incompletely characterized.

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Nitric oxide (NO) is a molecule of physiological importance, and the function of NO depends on its concentration in biological systems, particularly in cells. Concentration-based analysis of intracellular NO can provide insight into its precise role in health and disease. However, current methods for detecting intracellular NO are still inadequate for quantitative analysis.

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Purpose: This study aimed to describe the levels of glycated hemoglobin (HbA1c), D-dimer (D-D), and fibrinogen (FIB) in different types of diabetic retinopathy (DR).

Methods: A total of 61 patients with diabetes, who were treated in our department between November 2017 and May 2019, were selected. According to their non-mydriatic fundus photography and fundus angiography results, patients were divided into three groups, ie, the non-DR (NDR) group (n=23), the non-proliferative DR (NPDR) group (n=17), and the proliferative DR (PDR) group (n=21).

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A 90-year-old man was diagnosed with primary gastric diffuse large B-cell lymphoma (PGDLBL) by PET/CT examination, gastroscopy, biopsy and histopathological analysis at a regular physical check in April, 2016. The patient received R-CO chemotherapy (rituximab, cyclophosphamide, and vincristine) and radiotherapy subsequently, with enteral nutritional treatment through 3-cavity nasogastric tube due to development of pyloric obstruction. To satisfy patient's strong desire of eating by himself, we performed surgery of exploratory laparotomy and Roux-en-Y gastric bypass (RGB) to relieve pylorus obstruction.

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Neurotransmitter (NT) abnormalities in the enteric nervous system have been reported as crucial roles to regulate the intestinal inflammation and gut immune homeostasis. Capturing quantitative changes at the NT metabolome provides an opportunity to develop an understanding of neuroimmune-mediated inflammation. Given the wide diversity of chemical characterizations in the NTs, only partial coverage of the NT metabolome can be simultaneously quantified in a single-run analysis.

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This study used an intermittent self-agitation anaerobic baffled reactor (SA-ABR) to treat food waste. The organic matter and detailed composition evolution were analyzed under continuous operation. The gas production rate was 2.

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Article Synopsis
  • Long chain unsaturated fatty acids (LCUFAs) are important for understanding inflammation and diseases.
  • A new method was created to measure LCUFAs accurately using special chemicals that help them stick to a column for better analysis.
  • This method showed it could detect very small amounts of LCUFAs in tiny blood samples, which is helpful for studying conditions like asthma.
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