Search Results (253)

The aim of this study is to provide a systematic account of structural discourse markers operating at a conversational macro-level in German Palliative Care interactions, focusing on their frequency, distribution, co-occurrence, and speaker-group-specific usage. By combining qualitative approaches from conversation analysis and interactional linguistics with quantitative methods from corpus linguistics, discourse markers are analyzed together as a functional category from multiple analytical perspectives to enhance the overall understanding of the use of discourse markers. The analysis reveals a functional distribution across different transition points in conversation: Whereas the German so most frequently appears in openings and transitions to non-verbal activities, gut and okay predominate in topic shifts and conversation closings. However, gut and okay differ in their composition of discursive functions, although discourse structuring emerges as the second most frequent function in both cases, an observation that stands in contrast to the continued neglect of this function in standard dictionary entries. The institutional asymmetries inherent in medical interactions are reflected in the finding that both doctors and caregivers use significantly more structural discourse markers than patients and their relatives. Differences between physicians’ and caregivers’ use of discourse markers can be attributed to their different professional roles and communicative responsibilities. Full article

Anchote (Coccinia abyssinica) is a neglected high-potential food and nutrition security tuber crop in Ethiopia. Phenotyping core germplasm collections using agro-morphological and physiological markers is essential for effective crop improvement and utilization. A total of 282 anchote germplasms were profiled using six qualitative and twenty-six quantitative agro-morphological and physiological traits. Augmented Block Design was used for the experiment at the Debre Zeit Agricultural Research Center. The chi-square test and Shannon diversity index indicated the presence of substantial phenotypic variation and diversity among the accessions based on the predominant qualitative traits studied. The quantitative agro-morphological and physiological traits showed wider variability and ranges for the accessions. The broad-sense heritability and genetic advance as a percentage of the mean were notably high for quantitative traits such as root yield, vine length, and leaf area index. A significantly positive correlation was observed among agronomically important traits such as root yield and root diameter as well as root yield and leaf area. The principal component analysis for qualitative and quantitative traits found that ten components explained 72.2% of the variation for qualitative traits, whereas nine components accounted for 69.96% of the variation in quantitative traits. The primary contributors to the variations are traits such as root (shape, flesh color, and yield), leaf (color, length, diameter, area) and fruit (length, diameter, and weight). Further, the accessions were grouped into two and three clusters based on qualitative and quantitative traits, respectively, indicating that quantitative characters better differentiated among the accessions. Similarly, the tanglegram showed little similarity between the qualitative and quantitative agro-morphological and physiological traits in clustering the accessions. These findings indicate the presence of sizable trait variation among the accessions that can be exploited as a selection marker to design and facilitate conservation and breeding strategies of anchote. Full article

Background/Objectives: Gypenosides (Gps) are the main active compounds of Gynostemma and show promise in managing diabetes; nevertheless, the mechanism by which Gps exert anti-diabetic effects is still not fully understood. The aim of this study is to clarify the molecular mechanisms of Gps in ameliorating glucose dysregulation. Methods: Qualitative and quantitative analyses on the chemical components of Gps were performed, respectively. Type 2 diabetes mellitus mouse models were established, and the mice were subsequently treated with Gps at doses of 200, 100, or 50 mg/kg for 4 weeks. Biochemical markers were measured. Histopathological assessments of hepatic and colonic tissues were conducted. The compositions of the intestinal microbiota, short-chain fatty acids (SCFAs), and bile acids (BAs) in fecal samples were analyzed. Western blotting was applied to examine the activation of relevant signaling pathways. Results: Gps have potent regulatory effects on metabolic homeostasis by improving glucose and lipid profiles and alleviating hepatic tissue damage. Treatment with Gps significantly reduced serum levels of lipopolysaccharides and key pro-inflammatory cytokines (interleukin-6 and tumor necrosis factor-α). Moreover, Gps enhanced the integrity of the gut barrier by upregulating the level of tight junction proteins (ZO-1 and occludin). Microbiota profiling revealed that Gps markedly increased microbial diversity and richness, decreased the ratio of Firmicutes/Bacteroidetes, and elevated Bacteroidia abundance from the phylum to the genus level. Targeted metabolomics further demonstrated that Gps modulated gut microbial metabolites by promoting SCFA production and reshaping BA profiles. Specifically, Gps elevated the primary-to-secondary BA ratio while reducing the 12α-hydroxylated to non-12α-hydroxylated BA ratio. Mechanistically, Western blotting demonstrated that Gps triggered the hepatic PI3K/AKT pathway and the intestinal BA/FXR/FGF15 axis, suggesting the coordinated regulation of metabolic and gut–liver axis signaling pathways. Conclusions: Gps significantly ameliorate hyperglycemia and hyperlipidemia through a multifaceted mechanism involving gut microbiota modulation, the restoration of intestinal barrier function, and the regulation of microbial metabolites such as SCFAs and BAs. These findings offer novel insights into their mechanism of action via the gut–liver axis. Full article

Hemp essential oils are rich in bioactive compounds, including terpenes and cannabinoids, yet standardized analytical methods for their simultaneous quality control are limited. This study aimed to (i) validate a static headspace gas chromatography–mass spectrometry (SHS-GC-MS) method for simultaneous quantification of 20 terpenes and 2 cannabinoids and (ii) apply it to fingerprint essential oils from four hemp strains, including local (HRDI2, HRDI5) and internationally cultivated (Charlotte’s Angel, Cherry Wine) varieties. The method met AOAC validation criteria, with detection limits of 0.025–0.5 µg/mL for terpenes and 1 µg/mL for cannabinoids. Quantitation limits ranged from 0.1–1 µg/mL for terpenes and 5 µg/mL for cannabinoids. Intraday precision (%RSD) ranged from 0.27–11.00%, while interday precision ranged from 3.14–13.89%. The method recoveries ranged from 85.12–115.47%. Precision and recovery confirmed the method’s reliability. Multivariate statistical analysis identified 82 metabolites, revealing distinct chemical fingerprints among strains, and emerged as newly identified chemotype markers, supporting chemotype classification. This work demonstrates, for the first time, a solvent-free, automatable SHS-GC-MS approach for simultaneous terpene and cannabinoid profiling in hemp essential oils, enabling both qualitative and quantitative characterization and supporting regulatory compliance for the development of standardized phytopharmaceutical products. Full article

Background: Histological and immunohistochemical analyses of adipose tissue are essential for evaluating the quality and functionality of lipoaspirates in regenerative medicine and fat grafting procedures. These methods provide insights into tissue viability, cellular subtypes, and extracellular matrix (ECM) composition—all factors influencing graft retention and clinical outcomes. Purpose: This scoping review aims to summarize the most commonly used staining methods and their applications in the histology and immunohistochemistry of adipose tissue. By exploring qualitative and quantitative markers, we seek to guide researchers in selecting the appropriate methodologies for addressing experimental and translational research. Methods: A systematic search was conducted using PubMed, Ovid, and the Cochrane Library databases from inception to 2024, employing Boolean operators (“lipoaspirate” OR “fat graft” OR “gauze rolling” OR “decantation” OR “coleman fat” OR “celt” OR “nanofat” OR “lipofilling” OR “human fat” AND “histol*”). Studies were included if they utilized histology or immunohistochemistry on undigested human adipose tissue or its derivatives. The inclusion criteria focused on peer-reviewed, English-language studies reporting quantitative and qualitative data on adipose tissue markers. Results: Out of 166 studies analyzed, hematoxylin–eosin (H&E) was the most frequently employed histological stain (152 studies), followed by Masson Trichrome and Sudan III. Immunohistochemical markers such as CD31, CD34, and perilipin were extensively used to distinguish stromal vascular fraction (SVF) cells, adipocytes, and inflammatory processes. Studies employing semiquantitative scoring demonstrated enhanced comparability, particularly for fibrosis, necrosis, and oil cyst evaluation. Quantitative analyses focused on SVF cell density, mature adipocyte integrity, and ECM composition. Methodological inconsistencies, particularly in preparation protocols, were observed in 25 studies. Conclusions: This review highlights the critical role of histological and immunohistochemical methods in adipose tissue research. H&E staining remains the cornerstone for general tissue evaluation in the clinical context, while specialized stains and immunohistochemical markers allow for detailed analyses of specific cellular and ECM components in experimental research. Standardizing preparation and evaluation protocols will enhance interstudy comparability and support advancements in adipose tissue-based therapies. Full article

Background: Chrysanthemum is an economically important ornamental species whose genetic diversity assessment forms the foundation for effective breeding programs. Methods: Phenotypic characterization of 12 traits (7 quantitative and 5 qualitative traits) was conducted alongside SCoT marker analysis to assess genetic diversity and perform marker–trait association analysis in 65 chrysanthemum accessions. Results: Quantitative traits showed 14.81–26.43% variation (peduncle length most variable), while qualitative traits exhibited Shannon–Weiner indices of 0.23–2.28 (flower color most diverse). Phenotypic analyses consistently grouped accessions into two clusters. SCoT markers generated 160 bands (159 polymorphic; 6.957 bands/marker) with high PIC values (0.408–0.896). Molecular analyses also revealed two genetic groups, though with partial discordance to phenotypic clusters. Eight significant marker–trait associations were identified, linking SCoT28/3/30/31/35/20/14/36 to flowering duration, plant height, peduncle diameter, flower color, and pest resistance traits. Conclusions: The study revealed substantial diversity in local chrysanthemum germplasm, with SCoT markers effectively capturing genetic variation. While phenotypic and molecular groupings showed partial mismatch, identified marker–trait associations (e.g., SCoT28 linked to flowering duration) provide practical tools for marker-assisted breeding. Full article

Luminal B breast cancer (LBBC) represents an aggressive, high-grade ER+ disease, associated with a high proliferation rate, higher mutation burden, and higher probability of eliciting the immune response. Clinical and pathological data from 89 patients of stage II-III, triple-negative (TN), and luminal B-like BC (LB-like BC) were included in the analysis. All patients were submitted to neoadjuvant chemotherapy (NACT). Quantitative and qualitative evaluations of TILs (Tumor-Infiltrating Lymphocytes) were performed on tissue microarrays constructed from pretreatment core-needle biopsy tumor specimens. The proportion of stromal TILs, CD8, CD4, and PD-L1 positive (+) immune cells (IC), as well as the number of FOXP3, CTLA4, and HSP-70+ IC, was observed concerning tumor immunophenotype, traditional clinicopathological prognostic factors, and tumor response to NACT. There was no statistically significant difference in the proportion of stromal TILs between the LB-like and TNBC (p = 0.344) cohorts. However, a higher CD4/CD8 ratio was associated with the TNBC biology (p = 0.018) and within the LB-like BC cohort with a high proliferation index and metastatic nodal involvement (p = 0.045, p = 0.015). Within the LB-like BC cohort, a higher expression of PD-L1 and HSP70+ IC was associated with a high proliferation index of tumor cells (p = 0.018, p = 0.040), massive metastatic nodal involvement (p = 0.002, p = 0.026), and higher stages of disease (p = 0.004, p = 0.042). Better response to NACT was associated with higher numbers of HSP70+ IC and higher proportions of CD8+ cells within the LB-like BC cohort (p = 0.045, p = 0.012). Routine evaluation of immune markers and HSP70 may help identify high-risk patients of LB-like breast cancer who would have a better response to NACT. Full article

The General Movements Assessment provides early insight into motor development’s range of motion; however, its relationship with joint kinematics, such as hip abduction range of motion, remains underexplored. This study analyzed hip abduction kinematics during General Movements, evaluating potential sex differences and variations in movement patterns (Fidgety vs. Writhing), and aimed to provide quantitative data that complement qualitative pediatric assessments. This cross-sectional observational study analyzed video recordings of spontaneous motor activity in 32 infants under three months of corrected age. Hip abduction range of motion was extracted using biomechanical analysis during General Movements. Interrater reliability was evaluated using Fleiss’s Kappa. Correlations were assessed using Pearson’s test, and a two-way ANOVA examined the effects of sex and the type of movements on range of motion. Interrater reliability for movement classification was excellent (Kappa = 0.909, p < 0.001). No significant correlations were found between sex or General Movements type and hip abduction range of motion (p > 0.68). Two-way ANOVA showed no significant effects of sex, movement pattern, or their interaction on range of motion in either hip (right: p = 0.726, left: p = 0.823), with small effect sizes (η² < 0.013). A minor asymmetry favoring the right hip was observed but was not clinically significant. Sex and General Movements type did not significantly influence hip abduction range of motion in infants under three months. Early joint mobility appears consistent across sexes and movement patterns, supporting its reliability as a biomechanical marker of typical development. Full article

Background/Objectives: Malignant melanoma (MM) is an aggressive neoplasm with a rising global incidence. Accurate staging and risk stratification are essential for guiding therapeutic decisions and improving patient prognosis. [18F]-FDG PET-CT enables the non-invasive assessment of tumor metabolic activity, offering a valuable adjunct to histopathological evaluation. However, the correlation between PET-CT findings and established prognostic markers in MM, such as Breslow thickness, ulceration, and mitotic rate, remains insufficiently explored. Methods: This retrospective observational study included 61 patients diagnosed with MM, of whom 48 met the inclusion criteria. Quantitative and qualitative variables such as SULmax, Breslow thickness, Ki-67 expression, and mitotic rate were analyzed using descriptive statistics, while correlations between PET-CT findings, SLNB, and histopathological characteristics were assessed using Spearman’s correlation test. A p-value < 0.05 was considered statistically significant. Results: Significant associations were identified between ulceration and both overall metastases (p = 0.01) and pulmonary metastases (p = 0.02). Breslow thickness showed a positive correlation with metastatic spread (p = 0.01), reinforcing its role as a key prognostic indicator. Perineural and vascular invasion were significantly associated with intra-abdominal metastases (p < 0.001 and p = 0.0007, respectively). Tumor-infiltrating lymphocytes (TILs) were inversely correlated with intra-abdominal metastases (p = 0.05), while sentinel lymph node positivity correlated with the presence of regional (p = 0.008) and distant (p = 0.02) metastases. Additionally, subcutaneous SULmax values were significantly higher in male patients compared to females (p = 0.04). Conclusions: Integrating PET-CT metabolic parameters with histopathological markers enhances the assessment of MM aggressiveness and metastatic potential. By refining risk stratification, PET-CT may contribute to personalized therapeutic strategies and improved patient management in MM. Full article

Chronic alcohol consumption is a major contributor to gastric injury, yet current therapeutic strategies predominantly rely on chemical agents with limited efficacy and potential side effects. Natural products, with their multi-target biocompatibility and safety advantages, offer promising alternatives for gastric protection. We examined the phenolic compounds of Elaeagnus angustifolia honey (EAH) and investigated its prophylactic potential against ethanol-induced chronic gastric injury in mice. HPLC-DAD-Q-TOF-MS analysis showed that 21 phenolic compounds were tentatively and qualitatively identified in EAH, as well as 14 phenolic compounds. Moreover, gastric ulcer indices, histopathological morphology, oxidative stress markers (MDA, GSH, SOD), inflammatory mediators (NO, PGE2), and cytokine gene expression (TNF-α, IL-6, IL-1β, iNOS) were evaluated via enzyme-linked immunosorbent assay (ELISA) and quantitative real-time PCR. Western blot was employed to assess COX-2 protein expression, while 16^S rRNA sequencing analyzed gut microbiota composition. The results demonstrated that EAH could play a role in gastric injury caused by long-term alcoholism by protecting gastric tissue structure, interfering with oxidative stress and inflammatory response, and remodeling the intestinal microbial community. Full article

The study was conducted to identify and describe 34 morphological traits from 30 collected tropical water lily germplasms, including both viviparous and non-viviparous water lilies, along with a genetic diversity analysis utilizing 16 selected polymorphic SSR markers. The results revealed significant differences among various water lily germplasms. Specifically, the genetic diversity index for 15 qualitative traits ranged from 0.456 to 1.681, while the index for 19 quantitative traits exceeded 1.5, ranging from 1.532 to 2.024. and the coefficient of variation for these traits varied between 12.11% and 58.88%, indicating that the genetic diversity index of quantitative traits was significantly higher than that of qualitative characteristics. Seven principal components were extracted, accounting for 74.16% of the genetic information. By integrating the calculation of membership function values, germplasms with superior comprehensive characteristics were selected, including N. ‘Purple Joy’, N. ‘Key Largo’, and N. ‘Eldorado’. A total of 115 alleles were amplified using 16 pairs of SSR markers from the tested materials. The effective allele number (Ne) ranged from 2.01 to 8.02, Shannon’s information index (I) varied from 1.03 to 2.25, polymorphism information content (PIC) ranged from 0.57 to 0.90, and the genetic similarity coefficient was from 0.30 to 0.80. Based on the morphological traits and SSR molecular markers, the tested water lily germplasms were classified into four and five categories, respectively, showing certain similarities and differences. The morphological clustering effectively distinguished between viviparous and non-viviparous water lilies, while the SSR-based clustering did not show a significant correlation with viviparity. Principal component analysis indicated that different groups were relatively independent, while individuals within each group were concentrated. These results suggest that combining morphological traits and SSR analysis is an effective approach for evaluating the genetic diversity of water lilies and understanding the genetic relationships among germplasms and provide a valuable reference for utilizing viviparous germplasms and breeding new varieties. Full article

Decoding the aroma composition plays a key role in designing and producing foods that consumers prefer. Due to the complex matrix and diverse aroma compounds of foods, isolation and quantitative analytical methods were systematically reviewed. Selecting suitable and complementary aroma extraction methods based on their characteristics can provide more complete aroma composition information. Multiple mass spectrometry detectors (MS, MS/MS, TOF-MS, IMS) and specialized detectors, including flame ionization detector (FID), electron capture detector (ECD), nitrogen–phosphorus detector (NPD), and flame photometric detector (FPD), are the most important qualitative technologies in aroma identification and quantification. Furthermore, the real-time monitoring of aroma release and perception is an important developing trend in the aroma perception of future food. A combination of artificial intelligence for chromatographic analysis and characteristic databases could significantly improve the qualitative analysis efficiency and accuracy of aroma analysis. External standard method and stable isotope dilution analysis were the most popular quantification methods among the four quantification methods. The combination with flavoromics enables the decoding of aroma profile contributions and the identification of characteristic marker aroma compounds. Aroma analysis has a wide range of applications in the fields of raw materials selection, food processing monitoring, and products quality control. Full article

The Asian larch bark beetle, I. subelongatus Motschulsky, is a severe pest of various Larix species in its natural range. This study reports the degree of similarity among cuticular hydrocarbon (CHC) profiles of six populations of I. subelongatus in northeastern China. Thirty individual or isomeric mixtures of hydrocarbons were identified by solid-phase microextraction (SPME) coupled with gas chromatography–mass spectrometry (GC–MS). The hydrocarbon components consist of straight-chain alkanes, alkenes, and methyl-branched hydrocarbons with carbon chain lengths ranging from 24 to 31. Among these, four CHCs (n-C₂₅, 9-C_27:1, n-C₂₇, and 3-meC₂₇) can serve as chemotaxonomic markers to identify I. subelongatus. No qualitative differences were detected between males and females in any of the six populations, but significant quantitative differences were observed in some CHCs. Phylogenetic analysis based on CHC profiles showed only minor differences compared to analysis based on partial mtDNA COI sequences regarding bark beetle species affinity. These results establish a rapid chemotaxonomic method and provide a basis for further investigations into the functions of CHCs in I. subelongatus. Full article

This study investigates the phytochemical composition, anti-inflammatory, antioxidant, and antiproliferative activities of A. absinthium and A. annua flowers and leaf ethanol extracts in acute rat inflammation model. Polyphenolic compounds were analyzed quantitatively (total phenolic (TPC) and total flavonoids (TFCs)) and qualitatively by HPLC-ESI MS analysis. The antioxidant activity was evaluated in vitro (by DPPH, FRAP, H₂O₂, and NO scavenging tests), and in vivo (by total oxidative status (TOS), total antioxidant capacity (TAC), oxidative stress index (OSI), and key oxidative damage markers). Inflammation was evaluated via nuclear factor-kB-p65 (NfkB-p65), and canonical NLRP3 inflammasome activation (with IL-1β, IL-18, caspase-1, and gasdermin D). The antiproliferative activity against human ovarian tumor cells (A2780cis, OVCAR-3, and OAW-42) was evaluated by the MTT assay, focusing on the modulation of multidrug resistance (MDR) pumps and the PARP-1 enzyme. Liver and renal toxicity were tested by measuring transaminases (ALT and AST), creatinine, and urea. The study results indicated that A. absinthium and A. annua flowers and leaf ethanol extracts have rich polyphenol content and moderate in vitro antioxidant activity. Tested extracts display an important antiproliferative activity against the ovarian tumor cell lines A2780cis, OVCAR-3, and OAW-42 based on chemoresistance countering and apoptotic mechanisms. There were differences related to the cell type and plant extract type. The tested plant extracts had significant and dose-dependent in vivo anti-inflammatory and antioxidant activity, with the A. annua flowers extract having the lowest efficiency. The anti-inflammatory and antioxidant activity biomarkers correlated with the extracts’ chemical composition. There was no inflammation-induced hepatotoxicity, but renal dysfunction was associated. Only AANL improved the renal function. These results can be used to design and develop remedies with combined anti-inflammatory, antioxidant, and anti-proliferative activities. Full article

Background: Pain is prevalent in almost all populations and may often hinder visual, auditory, tactile, olfactory, and taste perception as it alters brain neural processing. The quantitative methods emerging to define pain and assess its effects on neural functions and perception are important. Identifying pain biomarkers is one of the initial stages in developing such models and interventions. The existing literature has explored chronic and experimentally induced pain, leveraging electroencephalograms (EEGs) to identify biomarkers and employing various qualitative and quantitative approaches to measure pain. Objectives: This systematic review examines the methods, participant characteristics, types of pain states, associated pain biomarkers of the brain’s electrical activity, and limitations of current pain studies. The review identifies what experimental methods researchers implement to study human pain states compared to human control pain-free states, as well as the limitations in the current techniques of studying human pain states and future directions for research. Methods: The research questions were formed using the Population, Intervention, Comparison, Outcome (PICO) framework. A literature search was conducted using PubMed, PsycINFO, Embase, the Cochrane Library, IEEE Explore, Medline, Scopus, and Web of Science until December 2024, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines to obtain relevant studies. The inclusion criteria included studies that focused on pain states and EEG data reporting. The exclusion criteria included studies that used only MEG or fMRI neuroimaging techniques and those that did not focus on the evaluation or assessment of neural markers. Bias risk was determined by the Newcastle–Ottawa Scale. Target data were compared between studies to organize the findings among the reported results. Results: The initial search resulted in 592 articles. After exclusions, 24 studies were included in the review, 6 of which focused on chronic pain populations. Experimentally induced pain methods were identified as techniques that centered on tactile perception: thermal, electrical, mechanical, and chemical. Across both chronic and stimulated pain studies, pain was associated with decreased or slowing peak alpha frequency (PAF). In the chronic pain studies, beta power increases were seen with pain intensity. The functional connectivity and pain networks of chronic pain patients differ from those of healthy controls; this includes the processing of experimental pain. Reportedly small sample sizes, participant comorbidities such as neuropsychiatric disorders and peripheral nerve damage, and uncontrolled studies were the common drawbacks of the studies. Standardizing methods and establishing collaborations to collect open-access comprehensive longitudinal data were identified as necessary future directions to generalize neuro markers of pain. Conclusions: This review presents a variety of experimental setups, participant populations, pain stimulation methods, lack of standardized data analysis methods, supporting and contradicting study findings, limitations, and future directions. Comprehensive studies are needed to understand the pain and brain relationship deeper in order to confirm or disregard the existing findings and to generalize biomarkers across chronic and experimentally induced pain studies. This requires the implementation of larger, diverse cohorts in longitudinal study designs, establishment of procedural standards, and creation of repositories. Additional techniques include the utilization of machine learning and analyzing data from long-term wearable EEG systems. The review protocol is registered on INPLASY (# 202520040). Full article