Jujube fruit was well-loved and praised by the broad masses due to its delicious taste, abundant nutritional value, and medicinal properties. Few studies reported the quality evaluation and gut microbiota regulation effect of polysaccharides of jujube fruits from different producing areas. In the present study, multi-level fingerprint profiling, including polysaccharides, oligosaccharides, and monosaccharides, was established for the quality evaluation of polysaccharides from jujube fruits. For polysaccharides, the total content in jujube fruits ranged from 1.31% to 2.22%, and the molecular weight distribution (MWD) ranged from 1.14 × 10⁵ to 1.73 × 10⁶ Da. The MWD fingerprint profiling of polysaccharides from eight producing areas was similar, but the profile of infrared spectroscopy (IR) showed differentiation. The characteristic signals were screened and used to establish a discrimination model for the identification of jujube fruits from different areas, and the accuracy of identification reached 100.00%. For oligosaccharides, the main components were galacturonic acid polymers (DP, 2–4), and the profile of oligosaccharides exhibited high similarity. The monosaccharides, GalA, Glc, and Ara, were the primary monosaccharides. Although the fingerprint of monosaccharides was semblable, the composing proportion of monosaccharides revealed significant differences. In addition, the polysaccharides of jujube fruits could regulate the gut microbiota composition and possess potential therapeutic effects on dysentery and nervous system diseases.

Curcumae Longae Rhizoma (CLRh), Curcumae Radix (CRa), and Curcumae Rhizoma (CRh), derived from the different medicinal parts of the Curcuma species, are blood-activating analgesics commonly used for promoting blood circulation and relieving pain. Due to their certain similarities in chemical composition and pharmacological effects, these three herbs exhibit a high risk associated with mixing and indiscriminate use. The diverse methods used for distinguishing the medicinal origins are complex, time-consuming, and limited to intraspecific differentiation, which are not suitable for rapid and systematic identification. We developed a rapid analysis method for identification of affinis and different medicinal materials using attenuated total reflection-Fourier-transform infrared spectroscopy (ATR-FTIR) combined with machine learning algorithms. The original spectroscopic data were pretreated using derivatives, standard normal variate (SNV), multiplicative scatter correction (MSC), and smoothing (S) methods. Among them, 1D + MSC + 13S emerged as the best pretreatment method. Then, t-distributed stochastic neighbor embedding (t-SNE) was applied to visualize the results, and seven kinds of classification models were constructed. The results showed that support vector machine (SVM) modeling was superior to other models and the accuracy of validation and prediction was preferable, with a modeling time of 127.76 s. The established method could be employed to rapidly and effectively distinguish the different origins and parts of Curcuma species and thus provides a technique for rapid quality evaluation of affinis species.

Cicadae Periostracum (CP) is a traditional Chinese animal-derived medicine with the potential to treat Parkinson’s disease (PD). This study aims to explore the pharmacodynamic mechanisms of CP against PD-based on metabolomics technology and provide a theoretical basis for developing new anti-PD medicine. First, MPP⁺-induced SH-SY5Y cells were used to evaluate the anti-PD activity of CP. In the animal study, an MPTP-induced PD mouse model was employed to assess CP’s therapeutic effects. Immunofluorescence (IF) staining and Western blotting (WB) were used to evaluate its neuroprotective activity on neurons. A Serum metabolomics analysis was conducted to examine CP’s regulatory effects on metabolites and to identify vital metabolic pathways. Finally, cellular experiments were performed to validate the critical pathways. Cellular activity experiments demonstrated that CP mitigates MPP⁺-induced SH-SY5Y cytotoxicity, inhibits apoptosis, and restores mitochondrial homeostasis. Animal experiments revealed that CP significantly alleviates dyskinesia in PD mice, enhances motor performance, and restores neuronal integrity while reducing α-synuclein (α-syn) aggregation in the striatum (STR), showing its strong anti-PD effect. Metabolomic analysis revealed that CP can significantly improve the metabolic disorders of ten biomarkers that are mainly involved in amino acid metabolism and fatty acid β-oxidation and are closely related to oxidative stress pathways. Finally, pathway verification was performed, and the results show that CP exerted neuroprotective effects against PD through the dual signaling pathways of Bcl-2/Bax/Caspase-3 and Nrf2/HO-1. This study provides a comprehensive strategy for elucidating the mechanisms by which CP exerts its therapeutic effects against PD, highlighting its potential in developing anti-PD drugs.