Jianpi Qingre Tongluo Decoction exerted an anti-inflammatory effect on AS by inhibiting the NONHSAT227927.1/JAK2/STAT3 axis

Purpose

This study aims to determine whether Jianpi Qingre Tongluo Decoction (JQP) alleviates ankylosing spondylitis (AS) inflammation via the NONHSAT227927.1/JAK2/STAT3 axis.

Methods

The effect of JQP on immune-inflammatory indicators in AS patients was explored through a combination of data mining, association rule analysis, and random walk model evaluation. Subsequently, network pharmacology and molecular docking were performed to screen out the potential signaling pathway. ELISA, PCR and wb were used to evaluate the effect of JQP on AS-FLS activity and inflammatory factors. The role of NONHSAT227927.1/JAK2/STAT3 combination in inflammation was studied by editing NONHSAT227927.1 and adding the JAK2/STAT3 inhibitor AG490. Involvement of the JAK2/STAT3 pathway was detected by PCR, WB, or immunofluorescence analysis.

Results

Retrospective data mining results show that JQP can effectively reduce the immune inflammatory response in AS patients. Through network pharmacology and molecular docking, it is speculated that JQP exerts its effect on AS through the JAK2/STAT3 pathway. Overexpression of NONHSAT227927.1 activated the JAK2/STAT3 pathway and promoted the expression of inflammatory factors, while serum containing JQP reversed the effects of NONHSAT227927.1 overexpression. NONHSAT227927.1 silencing inhibits the proliferation of AS-FLSs, inhibits the levels of inflammatory factors, and reduces the expression of JAK2/STAT3 protein. After adding the pathway blocker AG490, it was observed that the cell viability of AS-FLSs was reduced by inflammatory factors and the levels of JAK2/STAT3 were inhibited. , and overexpression of NONHSAT227927.1 can reverse this trend.

Conclusions

JQP exerted an anti-inflammatory effect on AS by inhibiting the NONHSAT227927.1/JAK2/STAT3 axis.

Xinfeng capsule inhibits lncRNA NONHSAT227927.1/TRAF2 to alleviate NF-κB-p65-induced immuno-inflammation in ankylosing spondylitis

ETHNOPHARMACOLOGICAL RELEVANCE

Ankylosing spondylitis (AS) is a chronic rheumatic disease known for its insidious and refractory symptoms, primarily associated with immuno-inflammation in its early stages, that affects the self-perception of patients (SPP). The exploration of long noncoding RNA (lncRNA) in immuno-inflammation of AS has garnered considerable interest. Additionally, the effectiveness of traditional Chinese medicine Xinfeng Capsule (XFC) in mitigating immuno-inflammation in AS has also been observed. However, the specific mechanisms still need to be characterized.

AIM OF THE STUDY

This study elucidated the mechanism of the lncRNA NONHSAT227927.1/TRAF2/NF-κB axis in the immuno-inflammation of AS and XFC in AS treatment.

METHODS

LncRNA NONHSAT227927.1 and mRNA expression were assessed utilizing real-time fluorescence quantitative PCR. Protein level was determined using Western blot, and cytokine expression was measured using ELISA. Furthermore, mass spectrometry was used to analyze the binding proteins of lncRNA and rescue experiments were conducted to validate the findings. Inconsistencies in clinical baseline data were addressed using propensity score matching. The association between the XFC effect and indicator changes was evaluated using the Apriori algorithm.

RESULTS

The study revealed a substantial elevation in the expression of lncRNA NONHSAT227927.1 and tumor necrosis factor receptor-associated factor 2 (TRAF2) in AS-peripheral blood mononuclear cells. Its expression was also notably reduced after XFC treatment. In addition to this, there was a positive correlation between lncRNA NONHSAT227927.1 and TRAF2 with clinical immuno-inflammatory indicators. On the other hand, they showed a negative association with the SPP indicators. In vitro experiments have demonstrated that lncRNA NONHSAT227927.1 activated the nuclear factor (NF)-κB-p65 pathway by promoting TRAF2 expression. This activation resulted in enhanced IL-6 and TNF-α levels and reduced IL-10 and IL-4 levels. Conversely, XFC decreased the expression of lncRNA NONHSAT227927.1 and TRAF2, inhibiting the stimulation of the NF-κB-p65 cascade and restoring balance to the cytokines. The association rule analysis results indicated a strong association between XFC and decreased levels of C-reactive protein, erythrocyte sedimentation rate, and immunoglobulin A. Furthermore, XFC was strongly associated with improved SPP indicators, including general health, vitality, mental health, and role-emotional.

CONCLUSIONS

LncRNA NONHSAT227927.1 plays a pro-inflammatory role in AS. XFC treatment may reverse lncRNA NONHSAT227927.1 to suppress TRAF2-mediated NF-κB-p65 activation, which in turn suppresses immuno-inflammation and improves SPP, thereby making XFC a promising candidate for therapeutic applications in AS management.

Thorough evaluation of the Chinese medicine preparations and intermediates using high performance liquid chromatography fingerprints and ultraviolet quantum fingerprints along with antioxidant activity: Shuanghuanglian oral solution as an example

The growing global popularity of traditional Chinese medicine (TCM) has generated a growing interest in the quality control of TCM products. Shuanghuanglian Oral Liquid (SHL) is a commonly used TCM formula for treating respiratory tract infections. In this study, we present a thorough evaluation method for the quality of SHL and its intermediates. We assessed the quality through multi-wavelength fusion high-performance liquid chromatogram (HPLC) fingerprints of 40 batches of SHL samples and 15 batches of intermediates. Meanwhile, we introduced a new method called multi-markers assay by monolinear method (MAML) to quantify ten components in SHL, and revealed quality transmitting of ten components from intermediates to formulations. This information allowed us to establish a quality control system for intermediates, ensuring their quality consistency. Furthermore, we proposed UV quantum fingerprinting as an orthogonal complement to the quality evaluation by HPLC fingerprint. The relationship between fingerprinting and antioxidant capacity was also established. Overall, this study presented a novel and integrated approach for the quality evaluation of TCM products, providing valuable information for ensuring the safety and efficacy of TCM products for consumers.

Xinfeng capsule inhibits inflammation and oxidative stress in rheumatoid arthritis by up-regulating LINC00638 and activating Nrf2/HO-1 pathway

ETHNOPHARMACOLOGICAL RELEVANCE

Xinfeng capsule is a traditional Chinese medicine compound, which has been clinically used for more than 20 years in the treatment of rheumatoid arthritis (RA), ankylosing spondylitis, osteoarthritis and its extracurricular lesions. However, the molecular role of XFC in the treatment of RA remains unclear.

OBJECTIVE

This study aims to explore the efficacy and potential mechanism of XFC through retrospective data mining analysis, animal experiments and cell experiments.

METHODS

The effect of XFC on clinical laboratory indexes of RA patients was observed using data mining techniques combined with association rule analysis and a random walk model. Afterwards, a rat model of adjuvant arthritis (AA) was established with Freund's complete adjuvant, followed by the observation of pathological changes in synovial tissues and the ultrastructure of synoviocytes. A RA cell model was constructed by inducing fibroblast-like synoviocytes (FLSs) with tumor necrosis factor-alpha (TNF-α) to assess the effects of XFC-containing serum on inflammation and oxidative stress through long non-coding RNA LINC00638.

RESULTS

In retrospective data mining, XFC effectively reduced immune inflammation and increase the level of antioxidant enzymes in RA patients. Subsequently, animal experiments showed that XFC significantly repressed immune inflammation, oxidative stress, synovial hyperplasia, and cartilage destruction, while improving the ultrastructure of synoviocytes in AA rats. XFC-containing serum diminished the proliferation of TNF-α-induced RA-FLSs, increased LINC00638 expression (P＜0.01), decreased interleukin-6 (IL-6), IL-17, reactive oxygen species (ROS) and reactive nitrogen species (RNS) levels (P＜0.01), and increased the protein expression of nuclear factor erythrocyte 2-related factor 2 (Nrf2), heme oxygenase 1 (HO-1), and superoxide dismutase 2 (SOD2) (P＜0.01). Furthermore, rescue experiments manifested that XFC-containing serum reversed the effects of silencing LINC00638 on inflammation and oxidative stress in RA-FLSs.

CONCLUSION

XFC inhibits inflammation and oxidative stress in RA by up-regulating LINC00638 and activating Nrf2/HO-1 pathway.

Quantitative Analysis of Berberidis Cortex via Quantitative Analysis of Multicomponents by Single Marker (QAMS) Combined with Fingerprint and Chemometrics Methods

Berberidis Cortex is rich in alkaloids, and many of them have antibacterial, anti-inflammatory, and hypoglycemic activities. However, few research studies have focused on the quantitative analysis of multiple components from Berberidis Cortex. In this study, a new quality evaluation strategy for Berberidis Cortex was developed and validated by high-performance liquid chromatography (HPLC), which involved single marker, fingerprint, and stoichiometric methods. Using berberine hydrochloride as an internal reference, the relative correction factors of palmatine hydrochloride, magnoline, and jatrorrhizine hydrochloride were 2.4537, 0.9783, and 1.0035, respectively, and their durabilities were also well performed. In addition, both methods mentioned above were used to compare the mass fractions of four isoquinoline alkaloids in ten batches of Berberidis Cortex from different origins. These results indicated that the approach applied in this study was accurate and feasible. The fingerprints of these ten batches of Berberidis Cortex were established, and eleven components were identified with the similarity greater than 0.993. Both cluster and principal component analysis were carried out based on the peak area of these components, the results demonstrated that these ten batches of Berberidis Cortex were divided into two groups and the distribution of the medicinal material was basically consistent. Therefore, quantitative analysis of multicomponents by single marker (QAMS) can be widely used in the quality control of Berberidis Cortex as theoretical basis.

Quality Evaluation of Market Acacia catechu by Fingerprint-Chemical Pattern Recognition

Acacia catechu (L.f.) Willd, a leguminous plant, is included in the 2020 edition of the Chinese Pharmacopoeia and is mainly used to treat eczema, mouth ulcers, diarrhea, bruising, and traumatic hemorrhage. However, there are imported and domestic Acacia catechu samples available in China, and their quality and price are very different, which seriously affects the safety and stability of their clinical application. Importantly, there is no simple and effective method for identifying or classifying grades of Acacia catechu. In this study, 47 batches of commercial Acacia catechu were used for identifying or classifying grades of Acacia catechu using high performance liquid chromatography (HPLC) combined with chemometric analysis. Firstly, gradient elution was adopted with 0.05% phosphoric acid water (A)-methanol (B) as the mobile phase to establish chromatographic conditions. The HPLC chromatograms of 47 batches of Acacia catechu samples were analyzed by the “Similarity Evaluation System for Chromatographic Fingerprint of TCM” software (version 2012A). The common peaks of Acacia catechu were identified to evaluate the similarity. Based on the determination results of fingerprint chromatographic peak area, the quality of the collected Acacia catechu was evaluated by chemometric methods such as CA, PCA, and OPLS-DA. The results showed that the collected Acacia catechu samples were significantly divided into three categories. The first-class samples were all imported Acacia catechu except S9 sample, which was domestic Acacia catechu; the second-class samples were partly domestic Acacia catechu and partly imported Acacia catechu; and the third-class samples were all domestic Acacia catechu. Moreover, OPLS-DA of 47 batches of samples showed that the contents of catechin and the total contents of catechin and epicatechin could be used as key indicators for assessing the quality of Acacia catechu. The developed HPLC fingerprint and quantitative analysis method of multi-indicator components can be used for classification and quality evaluation of market Acacia catechu, which has a significant reference value for developing Acacia catechu grade quality standards.

Comparative investigation of the stems, leaves, flowers, and roots of Centipeda minima based on fingerprinting-multivariate classification techniques

BACKGROUND

Centipeda minima (L.) A. Br. et Aschers, known as Ebushicao (EBSC) in Chinese, has long been used in traditional Chinese medicine for dispelling wind, clearing orifices, detoxification and swelling. Although the traditional use of EBSC involves the whole plant, during harvesting and processing, separation of the stems, leaves, flowers and roots often occurs. However, there are few studies on its medicinal parts.

OBJECTIVE

A strategy combining high performance liquid chromatography (HPLC) fingerprinting and multivariate classification techniques are here proposed for the comparison of roots, stems, leaves, and flowers of EBSC.

METHOD

The roots, stems, leaves, and flowers of EBSC samples were analyzed and compared based on HPLC fingerprints combined with chemometrics, including hierarchical cluster analysis (HCA), principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and back propagation artificial neural network (BP-ANN). Chemical markers were screened using PLS-DA, and the contents of representative ingredients were determined by an HPLC method.

RESULTS

The HCA and PCA provided clear discrimination of roots, stems, leaves and flowers. Moreover, the PLS-DA model and BP-ANN were established to verify the classification results and showed a greater ability to predict new samples. Four representative chemical markers were screened out, and the content of these markers in flowers and leaves was higher than that in stems and roots, and the difference was significant.

CONCLUSION

Combining HPLC fingerprinting and multi-component chemical pattern recognition technology can be used to distinguish different parts of EBSC. The results indicated that brevilin A, quercetin, rutin and chlorogenic acid, the important active components of EBSC, were mainly present in the leaves and flowers. This is of great significance for the differentiation and identification of the different medicinal parts of EBSC, as well as for the effectiveness of drug usage in clinical practice.