Publications by authors named "Zheng-Meng Jiang"

Article Synopsis
  • Gut microbiota dysbiosis plays a significant role in depression, and Hypericum perforatum L. (HPL) has been traditionally used in Europe to treat this condition, though its mechanisms remain unclear.
  • The study investigates how HPL affects gut microbiota and related metabolites to alleviate depression symptoms, utilizing fecal microbiota transplantation and advanced microbiome profiling methods.
  • Results show that HPL improves depression by restoring beneficial gut bacteria (like Akkermansia muciniphila) and regulating tryptophan metabolism, influencing inflammatory pathways related to mood disorders.
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This study aimed to identify and quantify the primary components in lotus leaf and to explore the hypolipidemic components through spectral-effect relationships and chemometric methods. Utilizing a data-dependent acquisition-diagnostic fragment ion/characteristic neutral loss screening strategy (DFI-NLS), a reliable HPLC-Q-TOF-MS analysis was conducted, identifying 77 compounds, including 36 flavonoids, 21 alkaloids, 3 terpenoids, 11 organic acids, 4 phenols, 1 lignin and 1 unsaturated hydrocarbon. A straightforward HPLC-DAD method was developed for the simultaneous determination of seven major components in lotus leaf, and quercetin-3-O-glucuronide (Q3GA) was identified as the most abundant component.

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  • Ulcerative colitis is linked to irregular gut microbiota, and natural products like bergenin show promise in improving the condition by correcting this imbalance.
  • Research on mice indicated that bergenin reduced colitis symptoms by inhibiting certain pathways (TLR4, NF-κB, and mTOR) and altering gut bacteria composition, particularly affecting branched-chain amino acids (BCAA).
  • The study highlights that managing gut microbiota and BCAA levels could be crucial for developing treatments and preventive strategies for ulcerative colitis.
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  • Gut microbiota imbalances (dysbiosis) are linked to rheumatoid arthritis (RA) development, and Sinomenine (SIN) is a drug that helps treat RA and may influence gut microbiota.
  • Research explored how SIN affects gut microbes to ease RA symptoms, using techniques like gene sequencing and fecal microbiota transplants.
  • The findings showed that SIN helps restore healthy gut bacteria, particularly Lactobacillus, and increases beneficial metabolites, which together help improve RA symptoms by activating certain receptors in the body.
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Disturbance of the gut microbiota plays a critical role in the development of nonalcoholic fatty liver disease (NAFLD). Increasing evidence supports that natural products may serve as prebiotics to regulate the gut microbiota in the treatment of NAFLD. In the present study, the effect of nobiletin, a naturally occurring polymethoxyflavone, on NAFLD was evaluated, and metabolomics, 16S rRNA gene sequencing, and transcriptomics analysis were performed to determine the underlying mechanism of nobiletin, and the key bacteria and metabolites screened were confirmed by in vivo experiment.

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Growing evidence suggests gut microbiota status affects human health, and microbiota imbalance will induce multiple disorders. Natural products are gaining increasing attention for their therapeutical effects and less side effects. The emerging studies support that the activities of many natural products are dependent on gut microbiota, meanwhile gut microbiota is modulated by natural products.

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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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Background: Cuscutae Semen (CS) is a commonly used hepatoprotective traditional Chinese medicine, but the chemical components responsible for its hepatoprotective activity are unclear.

Objective: The purpose of this study was to evaluate the spectrum-effect relationships between HPLC fingerprints and hepatoprotective effects of CS, and to identify its bioactive components.

Methods: Phytochemical isolation of CS extracts was first carried out and 14 potential bioactive compounds were obtained.

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Objectives: Uncariae Rammulus Cum Uncis (URCU) is a commonly used herbal medicine to treat diabetes. This work is aimed to discover and identify the antidiabetic components from URCU extract.

Methods: Column chromatography and recrystallisation were used to separate individual compounds from URCU extract, and the obtained individual compounds were used for determination of α-glucosidase inhibitory activity.

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Ethnopharmacological Relevance: Sea buckthorn is popularly used as a herbal medicine and food additive in the world. Sea buckthorn flavonoids (SF) is reported to have an ameliorative effect on obesity and hyperlipidemia (HLP).

Aim: To identify the major bioactive compounds and the lipid-lowering mechanism of SF.

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Ethnopharmacological Relevance: Sinomenii Caulis (SC) is a well-konwn traditional Chinese medicine used for treatment of rheumatoid arthritis (RA), dermatophytosis and paralysis. Patients with RA are usually secondary to osteoporosis, but the potential protective effect of SC on osteoporosis (OP) is seldom reported and its possible action mechanism is little known.

Aim: The purpose of this study was to demonstrate the anti-osteoporosis effects of SC extract and alkaloids in prednisolone (Pre)-induced OP of zebrafish, and then to explore the potential mechanism of SC on system level by network pharmacology.

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Obesity is one of the main causes of human cardiovascular and cerebrovascular diseases. Baicalin, a bioactive flavonoid isolated from the herbal medicine Scutellaria baicalensis Georgi, is reported to ameliorate obesity and hyperlipidemia. However, its mechanism remains unclear.

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The study is aimed to develop a rapid and efficient supercritical fluid chromatography coupled with diode-array detection (SFC-DAD) method for simultaneous quantification of six flavonoids in Citri Reticulatae Pericarpium (CRP). The chromatographic parameters including stationary phase, mobile phase composition, back pressure, temperature and flow rate, were systematically optimized with single-factor test. The results indicated that the six compounds were baseline separated on an Agilent Zorbax RX-SIL column using gradient elution within 10 min.

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Alkaloids, the principal constituents in the caulis of Sinomenium acutum, have gained an increasing interest over the past decades since they are widely employed as a clinical treatment for rheumatoid arthritis. In the present study, an integrated characterization strategy by combining mass defect filtering-based structure classification (MDFSC) and diagnostic fragment-ion-based extension (DFIBE) was firstly proposed for rapid profiling of alkaloids in Sinomenii Caulis (SC) via ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). The rectangular MDFSC window could more accurately screen the target alkaloids of different types, and the DFIBE could facilitate the acquisition of characteristic fragment ions for structural elucidation of alkaloids.

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The present study aimed to identify the anti-inflammatory components in Sinomenii Caulis (SC) based on spectrum-effect relationship and chemometric methods. A phytochemical investigation of SC extract was performed firstly and afforded eleven potential bioactive compounds. The HPLC fingerprints of 19 batches of SC samples were evaluated by the chemometric methods such as similarity analysis (SA) and hierarchical clustering analysis (HCA).

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This work investigated the spectrum-effect relationships between high performance liquid chromatography (HPLC) fingerprints and the anti-benign prostatic hyperplasia activities of aqueous extracts from Saxifraga stolonifera. The fingerprints of S. stolonifera from various sources were established by HPLC and evaluated by similarity analysis (SA), hierarchical clustering analysis (HCA) and principal component analysis (PCA).

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