Quality Markers Research Articles

Development and validation of a rapid and simple HILIC-MS/MS method for the determination of biogenic amines in tuna fish

The production of biogenic amines (BAs), which are markers of both quality and safety in fish and fishery products, is influenced by the harvesting technique, handling, and other operations including those carried out on board the vessel. Scombroid dark-meat fish (e.g. tuna) are the fish species most frequently linked to histamine poisoning. The most commonly found BAs in fish are histamine, tyramine, putrescine, and cadaverine, which are produced when microbes decarboxylate the corresponding free amino acids. In this study, a rapid and cost-effective HILIC-MS/MS method was developed and validated for the determination of putrescine, cadaverine, histamine and tyramine in tuna samples. A simple sample preparation procedure was followed using the solvent mixture MeOH/H2O (50/50, v/v), 0.1 % acetic acid for protein precipitation and analyte extraction. Intra- and inter-day accuracy, expressed as %Recovery (%R), ranged from 88.0 % (Cad) to 102.7 % (Tyr) and from 85.0 % (Cad) to 99.8 % (Tyr), respectively. Intra- and inter-day precision, expressed as %Relative Standard Deviation (%RSD), ranged from 0.4 % (Tyr, Put) to 3.3 % (His) and from 0.7 % (Tyr) to 5.0 % (Cad), respectively. Limits of detection (LOD) and quantification (LOQ) varied from 0.0009 to 0.0940 mg/kg and from 0.0030 mg/kg to 0.3100 mg/kg, respectively, depending on the analyte. Regarding the potential toxic effects linked to biogenic amines in foods, samples examined in this study showed no risk. The proposed method is an important analytical tool for routine analysis of BAs in fish products.

Quality Evaluation of Tripterygium Glycoside Tablets Based on Quantitative Band-Selective 2D 1H-13C HSQC and 1H NMR Fingerprinting.

Tripterygium glycoside tablets (TGTs) are preparations extracted and purified from Tripterygium wilfordii Hook. F and are extensively utilized in the treatment of autoimmune diseases, such as rheumatoid arthritis (RA). However, variations in production processes among manufacturers can lead to challenges in quality control and clinical utilization of TGTs. A band-selective 2D 1H-13C HSQC quantification method was applied for the determination of 13 active ingredients in TGTs. This method was validated following the guidelines of USP-NF 2022. The results demonstrated that the quantitative method exhibited excellent signal resolution, as well as sufficient accuracy, sensitivity, and stability. In addition, the 1H NMR spectra of TGTs from three manufacturers underwent analysis using principal component analysis and orthogonal partial least-squares discriminant analysis. The results revealed significant differences among the TGTs from the three manufacturers, with manufacturer 2 and manufacturer 3 demonstrating superior product consistency compared to manufacturer 1. A quality evaluation system for TGTs was developed based on band-selective 2D 1H-13C HSQC and 1H NMR, encompassing both quality markers and fingerprinting. This system offers reliable approaches and insights for enhancing the quality control of natural products.

UPLC-Q-TOF-MS/MS combined with machine learning methods for screening quality indicators of Hypericum perforatum L.

Hypericum perforatum L. (HPL), also known as St. John's wort, is one of the extensively researched domestically and internationally as a medicinal plant. In this study, non-targeted metabolomics combined with machine learning methods were used to identify reasonable quality indicators for the holistic quality control of HPL. First, the high-resolution MS data from different samples of HPL were collected, and visualized the chemical compounds through the MS molecular network. A total of 122 compounds were identified. Then, the orthogonal partial least squares-discriminant analysis (OPLS-DA) model was established for comparing the differences in metabolite expression between flower, leaf, and branches. A total of 46 differential metabolites were screened out. Subsequently, analyzing the pharmacological activities of these differential metabolites based on protein-protein interaction (PPI) network. A total of 25 compounds associated with 473 gene targets were retrieved. Among them, 13 highly active compounds were selected as potential quality markers, and five compounds were ultimately selected as quality control markers for HPL. Finally, three different classifiers (support vector machine (SVM), random forest (RF), and K-nearest neighbor (KNN)) were used to validate whether the selected quality control markers are qualified. When the feature count is set to 122 and 46, the RF model demonstrates optimal performance. As the number of variables decreases, the performance of the RF model degrades. The KNN model and the SVM model also exhibit a decrease in performance but still manage to satisfy the intended requirements. The strategy can be applied to the quality control of HPL and can provide a reference for the quality control of other herbal medicines.

Tinosporae radix: A Review of Traditional Use, Botany, Phytochemistry, Bioactivity, and Quality Marker.

Tinosporae radix is the root tuber of Tinospora capillipes Gagnep of the Menispermaceae family. It has the effects of clearing away heat and toxins, benefiting the throat, relieving pain, and treating sore throat, carbuncle and boils, and other diseases in clinical practice. The related references about T. radix in this review were collected by online databases, including PubMed, Elsevier, Web of Science, Willy, SciFinder, SpringLink, Google Scholar, Baidu Scholar, ACS publications, Scopus, and CNKI. The other information about T. radix was acquired from ancient books and classical works. T. radix is an important medicinal plant with a variety of traditional uses according to the theory of Chinese medicine. Previous studies revealed that T. radix contained a variety of chemical components, including diterpenoids, alkaloids, steroids, cinnamic acid derivatives, and other compounds. Many pharmacological researches have exhibited that T. radix possesses various biological activities, including anti-cancer, hypoglycemic, anti-inflammatory, anti-bacterial, anti-ulcer, and anti-oxidant activities. Furthermore, the quality markers of T. radix were summarized and analyzed in this paper. The traditional use, botany, phytochemistry, bioactivity, and quality markers of T. radix were reviewed in this paper. It will not only provide an important clue for further studying T. radix, but also supply an important theoretical basis and a valuable reference for in-depth research and exploitations of this plant in the future.

Deep learning and machine learning classification technique for integrated forecasting

Smart fisheries are increasingly using artificial intelligence (AI) technologies to increase their sustainability. The potential fishing zone (PFZ) forecasts several fish aggregation zones throughout the duration of the prediction in any sea. The autoregressive integrated moving average (ARIMA) and random forest model are used in the current study to provide a technique for locating viable fishing zones in deep marine seas. A significant amount of data was gathered for the database's creation, including monitoring information for Indian fishing fleets from 2017 to 2019. Using expert label datasets for validation, it was discovered that the model's detection accuracy was 98%. Our method uses salinity and dissolved oxygen, two crucial markers of water quality, to identify suitable fishing zones for the first time. In the current research, a system was created to identify and map the quantity of fishing activity. The tests use a number of parameter measurements to evaluate the contrast-enhanced computed tomography (CECT) approach to machine learning (ML) and deep learning (DL) methodologies. The findings showed that the CECT had a 94% accuracy rate compared to a convolutional neural network's 92% accuracy rate for the 80% training data and 20% testing data.

Analytical strategies to identify multicomponent quality markers for commercial Hua-ju-hong using multidimensional chemical analysis.

Hua-ju-hong (HJH) is a Chinese medicinal material obtained from Citrus grandis 'Tomentosa' (CGT) and Citrus grandis (L.) Osbeck (CG) with various commercial specifications. It is known for relieving cough and dispelling phlegm. To reveal the quality marker for distinguishing the various HJH, 215 batches of commercial HJH were studied systematically using multidimensional chemical analysis. Ten major components were identified by high-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry and quantified via high-performance liquid chromatography coupled with diode array detection. In this study, a rapid, efficient, and low-cost chromatographic method was established. Total coumarin-hemiterpene and total coumarin-monoterpene were first classified and analyzed in HJH. The result indicated that the main component, naringin, was not the quality marker for differentiating CGT from CG. For reflecting the unique medicinal and food value of HJH, coumarins should be the more potential quality markers. Flavonoids were the possible quality markers for distinguishing two growth stages of fruit-exocarp and young fruit. For the first time, two chemotypes of HJH were identified in CG. This study provides a convenient yet reliant chromatographic method and novel yet systematic strategies for overall quality control of commercial HJH.

Myosteatosis and not low muscle mass is associated with lower survival in kidney transplant recipients

AbstractBackgroundMyosteatosis, that is muscle fat infiltration, is an important marker of muscle quality, affecting quality of life and survival in patients with chronic kidney disease (CKD). However, the connection between myosteatosis, skeletal muscle index (SMI) and survival in kidney transplant (KTx) recipients remains unclear.MethodsThis retrospective observational study included a cohort of consecutive adult kidney recipients transplanted between 2010 and 2017 in Stockholm. Preoperative abdominal computed tomography (CT) images obtained after diagnosis of CKD 5 and within 36 months of transplantation were collected. Using established criteria, we measured muscle area at the third lumbar vertebra (L3 level) and identified low attenuation muscle, indicating myosteatosis. Each area was divided by height squared providing the SMI, and fatty muscle index (FMI). Given that there is no commonly accepted definition of sarcopenia, two cut‐offs for SMI were used to define low muscle mass, Cut‐off 1 (≤32.8 for women and ≤44.7 for men) and Cut‐off 2 (≤38.5 for women and ≤52.4 for men). Average radiodensity of skeletal muscle and Charlson comorbidity index were calculated for each patient. The influence on survival from SMI, FMI, SMI/FMI ratio, and radiodensity was analysed.ResultsOut of 582 KTx recipients, 266 (46%) had a pre‐transplant abdominal CT available. Applying SMI Cut‐off 1, 30 recipients (11%) had sarcopenia compared with 106 (40%) with Cut‐off 2. Neither SMI nor FMI was associated with survival. Yet there was an association between SMI/FMI ratio and survival, patients with the lowest quintile SMI/FMI ratio having a significantly lower survival when compared with the highest quintile, both in the crude model and when adjusted for age, gender, and comorbidity. Additionally, FMI, radiodensity, and SMI/FMI, but not SMI, were significantly associated with Charlson comorbidity index (P < 0.01).ConclusionsThe SMI/FMI ratio may be associated with both pre‐transplant comorbidity and post‐transplant survival even though the significance of SMI is unclear. This suggests that SMI/FMI ratio is a better indicator of muscular impairment than skeletal muscle quantity alone. The finding may reflect the complex interplay between muscle mass, muscular fat infiltration and metabolic health, all important determinants of wellness and longevity. In summary, our study underscores the potential of the SMI/FMI ratio as a predictor of outcome after KTx, a finding possibly transferable to other patient populations.

Development of a Non-Target Screening and Quantitative Analysis Strategy Based on UPLC-Q-TOF/MS and UPLC-QQQ/MS to Improve the Quality Control of Wuling Capsule.

Herbal medicine has been widely valued because of its remarkable efficacy and minimal side effects. The quantitative analysis of herbal medicines is essential to ensure their safety and efficacy. The simultaneous detection of multiple quality markers (Q-markers) has emerged as an important approach and trend in herbal medicine quality control. In recent years, non-targeted screening has become an effective strategy for the discovery and identification of unknown compounds. This study developed a non-targeted screening and quantitative analysis strategy to discover, identify and quantify the multiple components that truly represent the efficacy of Wuling capsule. Within this strategy, 18 types of flavonoids were tentatively discovered and identified from Wuling capsule by analyzing mass cleavage pathways, the precise molecular weights of compounds, and comparing the data with a database. Ten types of flavonoids were determined after the comparison of the standards. Additionally, following the evaluation of the regression equation, linear range, limit of detection (LOD), limit of quantitation (LOQ), precision, repeatability, and recovery of the proposed quantitative method, six flavonoids were quantified. This method successfully screened, identified, and quantified the potential active components in Wuling capsule, providing insights for improving the quality control standards in other herbal medicines.

The Associations between Human-Companion Animal Relationship Duration, Companion Animal Life Stage, and Relationship Quality.

Although many companion animal (or "pet") owners report that their relationships with their pets are important, we know little about how animal ownership duration and animal life stage are related to relationship quality. In a sample of 1303 dog and cat owners, the present research explored the associations between relationship duration, pet life stage (puppy/kitten, young adult, mature adult, and senior), and four markers of relationship quality: pet-related self-expansion, perceived pet responsiveness, perceived pet insensitivity, and human-animal bond. We found that relationship duration was negatively and linearly associated with self-expansion for both dog and cat owners. Results comparing relationship quality markers across pet life stages revealed that for both dog and cat owners, self-expansion was higher for owners of younger animals compared to owners of older animals. There were no significant effects for perceived pet responsiveness, perceived pet insensitivity, or human-animal bond based on relationship duration or animal life stage. These findings indicate that the duration of the relationship with one's pet and animal life stage have implications for how much people feel a pet helps them grow, whereas other markers of human-pet relationship quality likely vary based on other experiences.

An integrated multi-system to screen quality markers of blossom of Citrus aurantium L. var. amara Engl. via combining lipid-lowering and expectorant assays.

The present research demonstrated that an integrated multi-system based on the assays of lipid-lowering and expectorant effects was used to screen quality markers of an edible and medical material-the blossom of Citrus aurantium L. var. amara Engl. (BCAVA)-and a portion of active constituents were quantified in multiple batches to provide scientific data to establish a quality standard for BCAVA. Mouse models were developed to evaluate the lipid-lowering and expectorant effects, facilitating the investigation of medicinal parts through different polar extractions of BCAVA. Subsequently, ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was utilized for the in vivo and in vitro identification of chemical profiles within the medicinal parts of BCAVA. This methodological approach led to the selection and quantification of several active compounds from 21 batches of BCAVA sourced from different geographical regions samples. Notably, the ethanol extract of BCAVA exhibited significant lipid-lowering and expectorant effects while 183 compounds were identified in vitro and 109 in vivo, respectively. Then, five key ingredients were quantified, and the quantitative data were subjected to statistical analysis to discriminate between samples from various geographical regions. Overall, the findings underscore the significance of an integrated, assay-based approach for the characterization and quality assessment of BCAVA.

Research on quality marker based on the processing from Aconiti lateralis radix praeparata to Heishunpian.

Aconiti lateralis radix praeparata (ALRP), the sub root of Aconitum carmichaelii Debx., is a traditional Chinese medicine with good pharmacological effects. Heishunpian (HSP), prepared through the process of brine immersing, boiling, rinsing, dyeing, and steaming ALRP is one of the most widely used forms of decoction pieces in clinical practice. This study aims to investigate the mechanisms of component changes and transformations during the processing from ALRP to HSP, and to screen for their quality markers through UHPLC-QTOF-MS analysis. Samples from ALRP to HSP during processing were prepared and analyzed by UHPLC-QTOF-MS. By comparing the differences between before and after each processing step, the purpose of processing and the transformation of components during processing were studied. In addition, multiple batches of ALRP and HSP were determined, and potential quality markers were screened. Through the analysis of ALRP and five key processing samples, 55 components were identified. Immersing in brine, rinsing, and dyeing were the main factors of component loss, and boiling caused a slight loss of components. Some components were enhanced during the steaming process. Combining the screened differences components between multiple ALRP and HSP, 10 components were considered as potential quality biomarkers. This study found that the adjacent hydroxyl groups of the ester group may have a positive impact on the hydrolysis of the ester group, and 10 quality markers were preliminarily screened. It provides a reference for quality control and clinical application of ALRP and HSP.

Analysis of an Aqueous Extract from Turkish Galls Based on Multicomponent Qualitative and Quantitative Analysis Combined with Network Pharmacology and Chemometric Analysis.

The current quality control method for Turkish gall (TG) is limited to assessing total tannin or gallic acid (GA), which offers a basic level of quality control but does not fully capture the true quality of TG. Therefore, it is essential to establish a comprehensive method that utilizes multiple indicators to assess the intrinsic quality of TG. This research utilized UPLC-Q-TOF-MS/MS technology to qualitatively analyze the chemical composition of TG. Subsequently, the potential main active ingredients, targets, and pathways of TG in treating recurrent aphthous ulcers (RAU) were explored and analyzed using network pharmacology technology. Quantitative analysis of multicomponents by single marker (QAMS) was then employed to quantify the primary pharmacodynamic components in TG. Finally, chemometrics analysis was utilized to interpret the measured results and identify the markers of scavenging quality. The study identified 36 chemical components in TG, highlighting ellagic acid (EA), GA, and so on as key components in treating RAU. A method for simultaneously determining GA, EA, 1,2,3,6-tetra-O-galloyl-β-D-glucose (TEGG) and 1,2,3,4,6-penta-O-galloyl-β-D-glucose (PEGG) in TG was established. Statistical analysis revealed significant differences in the content of these 4 components across 14 batches of TG, with GA and PEGG identified as the primary contributors to the variations. This study determined a quality index for TG, providing a reference for quality evaluation and introducing a cost-effective and efficient quality control method. Furthermore, it addressed the challenge of developing new Chinese medicine by overcoming the lack of reference substances.

Universal 1H Spin-Lattice NMR Relaxation Features of Sugar-A Step towards Quality Markers.

1H fast field-cycling and time-domain nuclear magnetic resonance relaxometry studies have been performed for 15 samples of sugar of different kinds and origins (brown, white, cane, beet sugar). The extensive data set, including results for crystal sugar and sugar/water mixtures, has been thoroughly analyzed, with a focus on identifying relaxation contributions associated with the solid and liquid fractions of the systems and non-exponentiality of the relaxation processes. It has been observed that 1H spin-lattice relaxation rates for crystal sugar (solid) vary between 0.45 s-1 and 0.59 s-1, and the relaxation process shows only small deviations from exponentiality (a quantitative measure of the exponentiality has been provided). The 1H spin-lattice relaxation process for sugar/water mixtures has turned out to be bi-exponential, with the relaxation rates varying between about 13 s-1-17 s-1 (for the faster component) and about 2.1 s-1-3.5 s-1 (for the slower component), with the ratio between the amplitudes of the relaxation contributions ranging between 2.8 and 4.2. The narrow ranges in which the parameters vary make them a promising marker of the quality and authenticity of sugar.

Gut microbiota associations with chronic kidney disease: insights into nutritional and inflammatory parameters.

The gut barrier, comprising gut microbiota, plays a pivotal role in chronic kidney disease (CKD) progression and nutritional status. This study aimed to explore gut barrier alterations in hemodialyzed (HD) patients, non-HD (NHD) CKD patients, and healthy volunteers. Our cross-sectional study enrolled 22 HD patients, 11 NHD patients, and 11 healthy volunteers. We evaluated fecal microbiota composition (assessed via bacterial 16S rRNA gene sequencing), fecal IgA levels, surrogate markers of gut permeability, serum cytokines, appetite mediators, nutritional status, physical activity, and quality of life. HD patients exhibited significant alterations in fecal microbiota composition compared to healthy volunteers, with observed shifts in taxa known to be associated with dietary patterns or producing metabolites acting on human host. In comparison to healthy volunteers, individuals with HD patients exhibited elevated levels of inflammatory markers (CRP, IL-6 and TNF-α), glucagon-like peptide-2, and potential anorexigenic markers (including leptin and peptide YY). NHD patients had increased levels of CRP and peptide YY. Overall fecal microbiota composition was associated with height, soft lean mass, resting energy expenditure, handgrip strength, bone mineral content and plasma albumin and TNF-α. Compared to healthy volunteers, HD patients have an altered fecal microbiota composition, a higher systemic inflammation, and a modification in plasma levels of appetite mediators. While some differences align with previous findings, heterogeneity exists likely due to various factors including lifestyle and comorbidities. Despite limitations such as sample size, our study underscores the multifaceted interplay between gut microbiota, physiological markers, and kidney function, warranting further investigation in larger cohorts.

Research Progress of Yihuang Decoction and Prediction Analysis on Quality Markers

Background: Yihuang Decoction, a classical prescription found in Fu Qingzhu's Obstetrics and Gynecology, is formulated with fried Dioscoreae Rhizoma, fried Euryales Semen, wine-fried Plantaginis Semen, salt-fried Phellodendri Chinensis Cortex and Ginkgo Semen. Quality marker (Q-marker) plays a crucial role in promoting the standardization of the quality of traditional Chinese medicine (TCM). Hence, this study aimed to predict and analyze the Q-marker of Yihuang Decoction based on TCM Q-marker theory. Methods: A comprehensive review of relevant literature and the TCMSP database was conducted to investigate the chemical constituents, pharmacological effects, and clinical applications of Yihuang Decoction. Furthermore, the study predicted the Q-marker of Yihuang Decoction by considering its effectiveness, specificity, measurability, transmissibility and traceability, and compatibility, as per the concept of Chinese medicine Q-marker. Results: Yihuang Decoction exhibits pharmacological effects such as anti-inflammation and immune modulation, anti-bacteria and anti-virus properties. Clinically, it is mostly used to treat inflammation of the female reproductive system, including vaginitis, cervicitis and pelvic inflammation. According to analysis and prediction, it was suggested that allantoin, diosgenin, gallic acid, α-tocopherol, bilobalide, ginkgolide A, ginkgolide B, berberine, phellodendrine, magnoflorine, geniposidic acid and verbascoside could serve as Q-markers of Yihuang Decoction. Conclusion: This review establishes a foundation for the research and development of Yihuang Decoction, and providing a crucial scientific reference for ensuring its comprehensive quality control and enhancing evaluation standards.

Comprehensive investigation of coffee acidity on eight different brewing methods through chemical analyses, sensory evaluation and statistical elaboration

Even if the acids composition and their role in coffee still need to be clarified, acidity is one of the main sought-after features in coffee and it is becoming one of the main quality markers. Hence, the aim of this paper was to evaluate the main parameters influencing coffee acidity with a focus on carboxylic acids. To the best of our knowledge, this is the first study regarding filter coffee prepared from specialty and mainstream coffee, differently roasted and through eight diverse extraction methods. Coffee cup chemical composition in terms of organic and chlorogenic acids, caffein and physicochemical parameters were correlated with perceived sourness and mouthfeel to better understand the influence of extracted compounds on the final beverage acidity. Statistical tools revealed that a major impact of chlorogenic acids emerged in pH and titratable acidity, while the sensorial sourness appeared more correlated with organic acids concentration. Thus, these findings suggests that organic acids could be potential predictors of beverage perceived acidity.

Quality markers of Polygala fallax Hemsl decoction based on qualitative and quantitative analysis combined with network pharmacology and chemometric analysis.

Polygala fallax Hemsl (PFH) is a widely used herbal medicine in Guangxi, China. At present, research on PFH mainly focuses on extraction technology and cultivation, lacking quality control standards for systematic evaluation. The study aimed to assess the quality of PFH from different sources and to predict markers that would help assess quality. Fingerprinting of 15 batches of PFH samples was performed by ultra-high performance liquid chromatography (UPLC) and similarity was assessed using hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discrimination (OPLS-DA). Differential components were screened by mathematical analysis, and a "component-target-pathway" network map was constructed in combination with network pharmacology, quality markers (Q-markers) of PFH were predicted, and quantitative analysis was performed. Fifteen batches were fingerprinted for PFH, with 11 common peaks, and peak 5 was identified as 4-hydroxybenzoic acid, which was generally consistent with the results of HCA, PCA, and OPLS-DA. Network pharmacology screened 18 potential compounds, 45 core targets, and 20 key pathways, integrating fingerprinting, pattern recognition, and network pharmacology methods. One of the potential Q-markers that can identify the principle of testability, efficacy, and specificity is 4-hydroxybenzoic acid, whose content ranges from 0.0188 to 1.4517 mg/g. The potential Q-markers of PFH were predicted by integrating fingerprinting, pattern recognition, and network pharmacological analysis, which provided a scientific basis for the overall control and evaluation of the quality of PFH and a theoretical reference for the study of the quality standard of multi-base traditional Chinese medicine.

Simultaneous measurement of refractive index and temperature using a balloon-type optical fiber sensor

In the food industry, acetic acid is a compound often used as a preservative or additive, but it is also produced during the fermentation of various food products and constitutes a key marker of food safety and quality. Although accurate, sensitive, and selective, the traditional methods for determining acetic acid are also expensive and time-consuming. In this regard, optical fiber sensors have emerged as a possible alternative for the real-time monitoring of small molecules. In this work, we propose an optical fiber sensor for the simultaneous measurement of refractive index (RI) and temperature using a balloon-shaped structure with a single sensing element. The sensor, based on cladding modal interference, was characterized by its response to RI in the range from 1.320 to 1.352 RIU, using acetic acid solutions with concentrations between 0% and 50%(v/v), and by its response to temperature between 23 and 43 °C. A maximum sensitivity of 170.66 nm/RIU was obtained for RI, equivalent to 110.7 pm/%(v/v) in terms of concentration, and a maximum sensitivity of −119.2 pm/°C was obtained for temperature.

Utilizing a novel MRI technique to identify adverse muscle composition in end-stage liver disease: A pilot study

Introduction and ObjectivesSarcopenia is a common complication of end-stage liver disease (ESLD), but its exact relationship to myosteatosis and frailty remains unclear. In this pilot study, we tested the feasibility of a specialized MRI protocol and automated image analysis in patients with ESLD. Materials and MethodsIn a single-center prospective study, adult liver transplant candidates with ESLD underwent assessment of muscle composition between 3/2022 and 6/2022 using the AMRA® MAsS Scan. The primary outcome of interest was feasibility of the novel MRI technique in patients with ESLD. We also tested if thigh muscle composition correlated with validated measures of frailty and sarcopenia. ResultsEighteen subjects (71 % male, mean age 59 years) were enrolled. The most common etiologies of cirrhosis were alcohol-related liver disease (44 %) and non-alcohol-associated fatty liver disease (33 %), with a mean MELD-Na of 13 (± 4). The mean time needed to complete the MRI protocol was 14.9 min and only one patient could not complete it due to metal hardware in both knees. Forty-one percent of patients had adverse muscle composition (high thigh fat infiltration and low-fat free muscle volume) and these patients were more likely to have undergone a recent large volume paracentesis (43 % vs. 0 %, p < 0.02). The adverse muscle composition group performed significantly worse on the 6-minute walk test compared to the remainder of the cohort (379 vs 470 m, p < 0.01). ConclusionsThe AMRA® MAsS Scan is feasible to perform in patients with ESLD and can be used to quantify myosteatosis, a marker of muscle quality and potentially muscle functionality in ESLD.

Detection of thermotolerant coliforms and SARS-CoV-2 RNA in sewage and recreational waters in the Ecuadorian coast: A call for improving water quality regulation.

Wastewater surveillance represents an alternative approach to regulating contamination and the early detection of infectious agents and outbreaks of diseases of public health importance. This study evaluated domestic wastewater effects on recreational waters in estuarine and seawater bodies in Guayas and Santa Elena provinces in Ecuador, South America. Fecal indicator bacteria (thermotolerant coliforms) served as key indicators for evaluation. Physical, chemical, and microbiological quality markers following the Ecuadorian environmental quality standard and the discharge of effluents to the water resource were analyzed. Samples were collected from 44 coastal sites and 2 oxidation lagoons during the dry and rainy seasons of 2020 and 2021, respectively. SARS-CoV-2 RNA was detected in samples with higher E. coli concentrations using reverse transcription quantitative PCR to detect the genes N and ORF1ab. All samples analyzed for SARS-CoV-2 showed Ct ˂ 40 for at least one gene. Four samples showed at least 20 genome copies of gene N per reaction. These were at an artisanal fishing port, an estuarine area (Palmar), a recreational bay, and an oxidation lagoon. A moderate correlation was found between SARS-CoV-2 RNA, thermotolerant coliform and E. coli (p-value ≤ 0.0037), and a strong and positive correlation between thermotolerant coliform and E. coli. (p-value ≤ 0.00001), highlighting the utility of these established parameters as a proxy of the virus. Significant differences were found in the concentrations of thermotolerant coliforms between seasons (p-value = 0.016) and sites (p-value = 0.005). The highest levels of coliforms were found in the dry season (63000 MPN/100 mL) in Anconcito and during the rainy season (14000 MPN/100 mL) at Esterillo in Playas County. It is recommended that the decentralized autonomous governments of the surveyed provinces in Ecuador implement urgent corrective actions and establish medium-term mechanisms to minimize a potential contamination route. Additional parameters must be included in the monitoring, such as Enterococcus and intestinal parasites, due to their public health implications. In the oxidation lagoons, maintenance actions must be carried out, including the dissolution of sediments, an increase in water retention times, and in situ treatment of the sludge, to improve the system's performance.