Tag: pubmed

Plant Foods Hum Nutr. 2024 Jan 10. doi: 10.1007/s11130-023-01138-7. Online ahead of print.

ABSTRACT

Consumers prefer food products that, in addition to nutritional properties, also have effects beneficial to health. Non-conventional food plants such as canary seed (Phalaris canariensis) constitute an alternative in the food industry due to nutritional properties, chemical, and bioactive potential. The aim of this research was to develop pancake formulations with the inclusion of canary seed flour to evaluate their proximate composition, overall score, taste and texture sensory acceptability, and glycemic index. Pancakes based on whole-wheat flour mixed with canary seed flour were developed at four substitution levels (control 0, 10, 30, and 50%). The formulations exhibited attractive nutritional properties, mainly due to the levels of protein (~ 8.7%), minerals (~ 5.1%), and total dietary fiber (4.7-5.9%). The overall score and taste showed a statistical difference (p < 0.05) between the formulations. The flours with 10 and 30% showed high sensory acceptability with scores of 6.22 and 6.67 respect to 7-point hedonic scale, between the categories “I like it” and “I like it a lot”. All formulations presented a low glycemic index (34-39%) that was significantly influenced (p < 0.05) as the level of substitution increased. The findings represent a new approach to the use of canary seed in the development of healthy food products.

PMID:38198039 | DOI:10.1007/s11130-023-01138-7

Environ Monit Assess. 2024 Jan 10;196(2):130. doi: 10.1007/s10661-024-12294-x.

ABSTRACT

Soil serves as a reservoir for organic carbon stock, which indicates soil quality and fertility within the terrestrial ecosystem. Therefore, it is crucial to comprehend the spatial distribution of soil organic carbon stock (SOCS) and the factors influencing it to achieve sustainable practices and ensure soil health. Thus, the present study aimed to apply four machine learning (ML) models, namely, random forest (RF), k-nearest neighbors (kNN), support vector machine (SVM), and Cubist model tree (Cubist), to improve the prediction of SOCS in the Srou catchment located in the Upper Oum Er-Rbia watershed, Morocco. From an inventory of 120 sample points, 80% were used for training the model, with the remaining 20% set aside for model testing. Boruta’s algorithm and the multicollinearity test identified only nine (9) factors as the controlling factors selected as input data for predicting SOCS. As a result, spatial distribution maps for SOCS were generated for all models, then compared, and further validated using statistical metrics. Among the models tested, the RF model exhibited the best performance (R² = 0.76, RMSE = 0.52 Mg C/ha, NRMSE = 0.13, and MAE = 0.34 Mg C/ha), followed closely by the SVM model (R² = 0.68, RMSE = 0.59 Mg C/ha, NRMSE = 0.15, and MAE = 0.34 Mg C/ha) and Cubist model (R² = 0.64, RMSE = 0.63 Mg C/ha, NRMSE = 0.16, and MAE = 0.43 Mg C/ha), while the kNN model had the lowest performance (R² = 0.31, RMSE = 0.94 Mg C/ha, NRMSE = 0.24, and MAE = 0.63 Mg C/ha). However, bulk density, pH, electrical conductivity, and calcium carbonate were the most important factors for spatially predicting SOCS in this semi-arid region. Hence, the methodology used in this study, which relies on ML algorithms, holds the potential for modeling and mapping SOCS and soil properties in comparable contexts elsewhere.

PMID:38198014 | DOI:10.1007/s10661-024-12294-x

Graefes Arch Clin Exp Ophthalmol. 2024 Jan 10. doi: 10.1007/s00417-023-06367-9. Online ahead of print.

ABSTRACT

PURPOSE: To investigate the effect of posterior keratometry (PK) on the accuracy of 10 intraocular lens (IOL) power calculation formulas using standard keratometry (K) and total keratometry (TK).

METHODS: This is a retrospective consecutive case-series study. The IOL power was calculated using K and TK measured by IOLMaster 700 in 6 new-generation formulas (Barrett Universal II, Emmetropia Verifying Optical (EVO) 2.0, RBF Calculator 3.0, Hoffer QST, Kane, and Ladas Super Formula) and 4 traditional formulas (Haigis, Hoffer Q, Holladay 1, and SRK/T). The arithmetic prediction error (PE) and mean absolute PE (MAE) were evaluated. The locally-weighted scatterplot smoothing was performed to assess the relationship between PE and PK.

RESULTS: A total of 576 patients (576 eyes) who underwent cataract surgery were included. Compared with using K, all formulas using TK showed a hyperopic shift in the whole group. Specifically, for eyes with PK exceeding -5.90 D, all formulas using TK exhibited a hyperopic shift (all P < 0.001), while eyes with PK less than -5.90 D showed a myopic shift (all P < 0.001). The MAE of new-generation formulas calculated with TK and K showed no statistical differences, while the MAE of traditional formulas with TK was larger (TK: 0.34 ~ 0.43 D; K: 0.33 ~ 0.42 D, all P < 0.05).

CONCLUSIONS: The prediction bias of formulas with TK increased as PK deviated from -5.90 D. TK did not improve the prediction accuracy of new-generation formulas, and even performed worse in traditional formulas.

PMID:38197993 | DOI:10.1007/s00417-023-06367-9

Endocrine. 2024 Jan 10. doi: 10.1007/s12020-023-03677-0. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: The atherogenic index of plasma (AIP) is supposed to be associated with cardiovascular disease (CVD), but there is limited evidence on its longitudinal effect. Our study aimed to explore the associations between baseline and long-term AIP with the risk of stroke and its subtypes.

METHODS AND RESULTS: A total of 97,959 participants free of stroke at baseline were included in the Kailuan study. The AIP was calculated as the logarithm of the ratio of triglyceride to high-density lipoprotein cholesterol. The updated mean AIP was calculated as the average of the AIP from baseline to the first occurrence of outcome or the end of follow-up. The outcome was the first occurrence of stroke, including ischemic stroke (IS) and intracerebral hemorrhage (ICH). We used univariable and multivariable Cox proportional hazard models to explore the association between AIP and the risk of stroke. During a median follow-up of 12.79 years, a total of 6307 participants developed stroke, including 5482 IS and 1024 ICH. Compared with the 1st quartile of baseline AIP, the multivariate-adjusted HR in the 4th quartile was 1.12 (95% CI, 1.03-1.22, p for trend <0.001) for stroke risk. Same results were found in IS, but no significant association was found for ICH. The associations between updated mean AIP and stroke and its subtypes showed similar results.

CONCLUSIONS: Elevated levels of both baseline and long-term updated mean AIP were associated with the risk of stroke and IS but not ICH in the general population.

PMID:38197990 | DOI:10.1007/s12020-023-03677-0

J Neural Transm (Vienna). 2024 Jan 10. doi: 10.1007/s00702-023-02729-z. Online ahead of print.

ABSTRACT

Sexual dysfunction (SD) is a common, yet under-reported non-motor symptom of PD. Common sexual symptoms among male PD patients include erectile dysfunction, premature ejaculation, and decreased sexual desire. Few research papers have examined sexual dysfunction in PD, especially in YOPD male patients, and there is no Indian research study on sexual dysfunction in YOPD. In this study, we determined the frequency of sexual dysfunction in men with YOPD, and its correlation with other motor and NMS. This prospective cross-sectional study was conducted on YOPD males who presented to the Department of Neurology, NIMHANS, Bangalore, India, from May 2021 to April 2023. The diagnosis of YOPD was made based on MDS criteria for IPD 2015. Sexual functions were evaluated by ASEX, PEDT, QUIP-RS, and sex hormone assay. The patients also underwent other motor and non-motor assessments. Statistical analysis was done using SPSS version 22.0. The study was funded by the PDMD fund. This study included 62 male YOPD patients. The mean age of cases was 44.74 ± 8.54 years. The mean duration of symptoms was 8.45 ± 6.23 years. 43.5% of the cases of PD were Akinetic rigid type. By ASEX Score grading, 46.8% of the cases had erectile dysfunction and 71% of the cases of YOPD had premature ejaculation by PEDT Score grading. 9.7% of the cases had hypersexuality by QUIP-RS. Duration of YOPD was a better predictor of Erectile Dysfunction and premature ejaculation when compared with other variables. SD was related to anxiety and depression and it had a negative impact on the patient’s health-related quality of life (HR-QoL). SD should be investigated and treated as an integral part of the neurological assessment in YOPD.

PMID:38197986 | DOI:10.1007/s00702-023-02729-z

World J Urol. 2024 Jan 10;42(1):18. doi: 10.1007/s00345-023-04711-6.

ABSTRACT

OBJECTIVE: Comparing the safety and efficacy of single-port (SP) versus multi-port (MP) robotic-assisted techniques in urological surgeries.

METHODS: A systematic review and cumulative meta-analysis was performed using PRISMA criteria for primary outcomes of interest, and quality assessment followed AMSTAR. Four databases were systematically searched: Embase, PubMed, The Cochrane Library, and Web of Science. The search time range is from database creation to December 2022. Stata16 was used for statistical analysis.

RESULTS: There were 17 studies involving 5015 patients. In urological surgeries, single-port robotics had shorter length of stay (WMD = – 0.63, 95% Cl [- 1.06, – 0.21], P < 0.05), less estimated blood loss (WMD = – 19.56, 95% Cl [- 32.21, – 6.91], P < 0.05), less lymph node yields (WMD = – 3.35, 95% Cl [- 5.16, – 1.55], P < 0.05), less postoperative opioid use (WMD = – 5.86, 95% Cl [- 8.83, – 2.88], P < 0.05). There were no statistically significant differences in operative time, positive margins rate, overall complications rate, and major complications rate.

CONCLUSION: Single-port robotics appears to have similar perioperative outcomes to multi-port robotics in urological surgery. In radical prostatectomy, single-port robotics has shown some advantages, but the specific suitability of single-port robots for urological surgical types needs to be further explored.

PMID:38197961 | DOI:10.1007/s00345-023-04711-6

Bioprocess Biosyst Eng. 2024 Jan 10. doi: 10.1007/s00449-023-02959-1. Online ahead of print.

ABSTRACT

β-galactosidase has been immobilized onto novel alginate/tea waste gel beads (Alg/TW) via covalent binding. Alg/TW beads were subjected to chemical modification through amination with polyethyleneimine (PEI) followed by activation with glutaraldehyde (GA). Chemical modification parameters including PEI concentration, PEI pH, and GA concentration were statistically optimized using Response Surface methodology (RSM) based on Box-Behnken Design (BBD). Analysis of variance (ANOVA) results confirmed the great significance of the model that had F value of 37.26 and P value < 0.05. Furthermore, the R² value (0.9882), Adjusted R² value (0.9617), and predicted R² value (0.8130) referred to the high correlation between predicted and experimental values, demonstrating the fitness of the model. In addition, the coefficient of variation (CV) value was 2.90 that pointed to the accuracy of the experiments. The highest immobilization yield (IY) of β-galactosidase (75.1%) was given under optimized conditions of PEI concentration (4%), PEI pH (9.5), and GA concentration (2.5%). Alg/TW beads were characterized by FT-IR, TGA, and SEM techniques at each step of immobilization process. Moreover, the immobilized β-galactosidase revealed a very good reusability as it could be reused for 15 and 20 consecutive cycles keeping 99.7 and 72.1% of its initial activity, respectively. In conclusion, the environmental waste (tea waste) can be used in modern technological industries such as the food and pharmaceutical industry.

PMID:38197955 | DOI:10.1007/s00449-023-02959-1

Arch Microbiol. 2024 Jan 10;206(2):60. doi: 10.1007/s00203-023-03786-4.

ABSTRACT

Biosurfactants are naturally occurring, surface-active chemicals generated by microorganisms and have attracted interest recently because of their numerous industrial uses. Compared to their chemical equivalents, they exhibit qualities that include lower toxic levels, increased biodegradable properties, and unique physiochemical properties. Due to these traits, biosurfactants have become attractive substitutes for synthetic surfactants in the pharmaceutical industry. In-depth research has been done in the last few decades, demonstrating their vast use in various industries. This review article includes a thorough description of the various types of biosurfactants and their production processes. The production process discussed here is from oil-contaminated waste, agro-industrial waste, dairy, and sugar industry waste, and also how biosurfactants can be produced from animal fat. Various purification methods such as ultrafiltration, liquid-liquid extraction, acid precipitation, foam fraction, and adsorption are required to acquire a purified product, which is necessary in the pharmaceutical industry, are also discussed here. Alternative ways for large-scale production of biosurfactants using different statistical experimental designs such as CCD, ANN, and RSM are described here. Several uses of biosurfactants, including drug delivery systems, antibacterial and antifungal agents, wound healing, and cancer therapy, are discussed. Additionally, in this review, the future challenges and aspects of biosurfactant utilization in the pharmaceutical industry and how to overcome them are also discussed.

PMID:38197951 | DOI:10.1007/s00203-023-03786-4

J Neurol. 2024 Jan 10. doi: 10.1007/s00415-023-12043-z. Online ahead of print.

ABSTRACT

BACKGROUND: In the different published studies, there is no consensus on the efficacy of virtual reality as an adjuvant treatment of mood states.

AIM: The aim of this study is to evaluate the impact of no immersive virtual reality with the Nintendo Switch device in rehabilitation treatment on mood, anxiety and depression in stroke patients admitted to neurorehabilitation units.

METHODS: Fifty-eight patients admitted to neurorehabilitation units underwent a 1:3 multicentre randomised clinical trial. The intervention group consisted of 17 patients and the control group of 41 patients. The intervention group performed 6 virtual reality sessions together with the conventional treatment, and the control group performed only the conventional rehabilitation sessions. Primary and secondary clinical outcomes were measured before and six weeks after the intervention.

RESULTS: Comparing the intervention group and control group, the anxiety levels of the intervention group decreased compared to the results observed in the control group (p = 0.01), as did the dependence of the intervention group (0.015). On the other hand, the results obtained after the intervention by the control group for anxiety (0.479) and depression (0.292) were not statistically significant.

CONCLUSION: Rehabilitation VR used as an adjuvant treatment to conventional treatment has a beneficial impact on the neurological status and state of anxiety of stroke patients admitted to neurorehabilitation units.

TRIAL REGISTRATION: Registered in the https://clinicaltrials.gov/ repository (NTC NCT05143385). Protocol registration date 7 October 2021, retrospectively registered.

PMID:38197947 | DOI:10.1007/s00415-023-12043-z

Ultrasound Obstet Gynecol. 2024 Jan 10. doi: 10.1002/uog.27575. Online ahead of print.

ABSTRACT

OBJECTIVE: Image quality of fetal echocardiography (FE) has improved in the recent era, but few recent studies have reported the accuracy of FE specifically in single ventricle congenital heart disease (SV). Our study aims to assess the ability of FE to correctly predict postnatal anatomy and physiology in SV in a contemporary cohort.

METHODS: The contemporary, clinical reports of FE with SV performed from 7/2017 to 7/2021 were compared with postnatal echocardiograms in a formal quality assurance program. SV were grouped by anatomic subtype. Diagnostic errors were designated as major if the error would have resulted in significant alteration in fetal counseling or postnatal management. Remaining errors were classified as minor. Physiologic discrepancies, including prostaglandin dependency (PGE-D), atrioventricular valve regurgitation (AVVR), pulmonary venous obstruction, and atrial septal restriction were assessed by review of postnatal course.

RESULTS: A total of 119 subjects were analyzed. SV subtypes in the cohort included hypoplastic left heart syndrome (HLHS) (n=68), tricuspid atresia (n=16), double inlet left ventricle (n=12), unbalanced atrioventricular canal (UAVC) (n=11), heterotaxy (n=9), and other (n=3). The rate of major anatomic and physiologic errors was low (n=6, 5.0%). A higher proportion of minor errors were noted in HLHS and tricuspid atresia but the differences were not statistically significant. Physiologic discrepancies were uncommon, with three major discrepancies including underestimation of degree of venous obstruction in one non-HLHS fetus with total anomalous pulmonary venous return, overestimation of atrial septal restriction in one HLHS fetus, and incorrect prediction of PGE-D with 1 false-negative for pulmonary blood flow. No discrepancy in degree of AVVR or atrial septal restriction affected postnatal care. Minor physiologic discrepancies included two false-positive predictions of PGE-D with 1 false-positive for ductal-dependent systemic flow, and 1 false-positive for pulmonary blood flow.

CONCLUSIONS: In this contemporary review of FE in SV at our center, there was high accuracy in describing anatomic and physiologic findings in fetuses with SV. Major physiologic discrepancies were uncommon but included important cases of false-negative prediction of PGE-dependence and underestimation of obstruction of total anomalous pulmonary venous return. These data can both inform more accurate counseling of families with SV fetuses and guide diagnostic improvement efforts. This article is protected by copyright. All rights reserved.

PMID:38197302 | DOI:10.1002/uog.27575