Rapid quality assessment and traceability of ginger powder from Northeast India and Indian market based on near infrared spectroscopic fingerprinting.

INTRODUCTION: Ginger (Zingiber officinale Rosc.) varies widely due to varying concentrations of phytochemicals and geographical origin. Rapid non-invasive quality and traceability assessment techniques ensure a sustainable value chain. OBJECTIVE: The objective of this study is the development of suitable machine learning models to estimate the concentration of 6-gingerol and check traceability based on the spectral fingerprints of dried ginger samples collected from Northeast India and the Indian market using near-infrared spectrometry. METHODS: Samples from the market and Northeast India underwent High Performance Liquid Chromatographic analysis for 6-gingerol content estimation. Near infrared (NIR) Spectrometer acquired spectral data. Quality prediction utilized partial least square regression (PLSR), while fingerprint-based traceability identification employed principal component analysis and t-distributed stochastic neighbor embedding (t-SNE). Model performance was assessed using RMSE and R2 values across selective wavelengths and spectral fingerprints. RESULTS: The standard normal variate pretreated spectral data over the wavelength region of 1,100-1,250 nm and 1,325-1,550 nm showed the optimal calibration model with root mean square error of calibration and R2 C (coefficient of determination for calibration) values of 0.87 and 0.897 respectively. A lower value (0.24) of root mean square error of prediction and a higher value (0.973) of R2 P (coefficient of determination for prediction) indicated the effectiveness of the developed model. t-SNE performed better clustering of samples based on geographical location, which was independent of gingerol content. CONCLUSION: The developed NIR spectroscopic model for Indian ginger samples predicts the 6-gingerol content and provides geographical traceability-based identification to ensure a sustainable value chain, which can promote efficiency, cost-effectiveness, consumer confidence, sustainable sourcing, traceability, and data-driven decision-making.

GPR84 and TREM-1 Signaling Contribute to the Pathogenesis of Reflux Esophagitis.

Gastro-esophageal reflux disease (GERD) is one of the most common disorders in gastroenterology. Patients present with or without increased acid exposure indicating a nonuniform etiology. Thus, the common treatment with proton pump inhibitors (PPIs) fails to control symptoms in up to 40% of patients. To further elucidate the pathophysiology of the condition and explore new treatment targets, transcriptomics, proteomics and histological methods were applied to a surgically induced subchronic reflux esophagitis model in Wistar rats after treatment with either omeprazole (PPI) or STW5, a herbal preparation shown to ameliorate esophagitis without affecting refluxate pH. The normal human esophageal squamous cell line HET-1A and human endoscopic biopsies were used to confirm our findings to the G-protein-coupled receptor (GPR) 84 in human tissue. Both treatments reduced reflux-induced macroscopic and microscopic lesions of the esophagi as well as known proinflammatory cytokines. Proteomic and transcriptomic analyses identified CINC1-3, MIP-1/3α, MIG, RANTES and interleukin (IL)-1ß as prominent mediators in GERD. Most regulated cyto-/chemokines are linked to the TREM-1 signaling pathway. The fatty acid receptor GPR84 was upregulated in esophagitis but significantly decreased in treated groups, a finding supported by Western blot and immunohistochemistry in both rat tissue and HET-1A cells. GPR84 was also found to be significantly upregulated in patients with grade B reflux esophagitis. The expression of GPR84 in esophageal tissue and its potential involvement in GERD are reported for the first time. IL-8 (CINC1-3) and the TREM-1 signaling pathway are proposed, besides GPR84, to play an important role in the pathogenesis of GERD.org.

Synergy quantifications to identify individual contributions of combination partners to the overall activity - The example of STW 5.

BACKGROUND: The rationale of combinations of plant extracts is often questioned. The common argument for combinations is a higher efficacy of the combination partners by multitargeting and the elimination of adverse events. AIM: STW5, a well-known fixed herbal multicomponent preparation, is recommended in the German treatment guidelines for functional gastrointestinal diseases. The study assessed effects of STW5, its single plant components and combinations thereof on different targets to identify synergistic, additive or antagonistic effects of the combination partners. STUDY DESIGN/METHODS: STW5, its nine components and triple combinations thereof were investigated in two in vitro models - human esophageal epithelial cells (Het1A) and intestinal smooth muscle cells (HISMC) - in comparison to Omeprazole (OM) for the release of interleukin 8 (IL-8) as surrogate for inflammation and of Ca2+ as surrogate for motion, under non-inflammatory and inflammatory (Capsaicin 80 µM (CAP)) conditions. The combination index (CI) of triple combinations was calculated to assess synergistic, antagonistic and additive effects. RESULTS: In Het-1A cells, STW5 showed, under non-inflammatory as well as inflammatory conditions, releases of IL-8 (49.3 ±â€¯4.2 pg/ml, 33.7 ±â€¯2 pg/ml) comparable to the untreated control (46.3 ±â€¯4.8 pg/ml). CAP increased IL-8 releases to 85.8 ±â€¯14 pg/ml (p < 0.005). Among the single plant extracts the Iberis amara extract (IBE) induced high IL-8 releases under non-inflammatory (441 ± 177 pg/ml) and inflammatory (625± 121 pg/ml) conditions. The Silybum marianum (L.) extract (SM) reduced releases up to 20.1 ±â€¯8 pg/ml (inflammation). The CI-values of triple combinations with IBE ranged from high synergy (CI<0.03) to antagonism (CI:480). Within the triple combinations SM was the most effective combination partner to reduce IL-8. The combination of Angelica archangelica (L.)/Carum carvi (L.) was also effective. In HISMCs, STW5 induced concentration dependent higher Ca2+-releases. Only Melissa officinalis (L.) (MO) induced high Ca2+- releases in HISMCs. CONCLUSION: In Het-1A, STW5 inhibited Il-8 releases, although one of its components (IBE) stimulated IL-8 strongly. The combination partners in STW5 assured an overall marked anti-inflammatory action. In the triple combinations SM was identified as most important combination partner for the IL-8 reduction. CI-measurements can support the identification of active combination partners in a multicomponent preparation and can give directions towards the search for multitarget effects.