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Objective: To assess weight change and attempted weight loss during the 12-18 months before spontaneous conception in relation to the risk of pregnancy loss.Design: Prospective cohort study.Setting: United States, 2007-2011.Methods: Women (n = 629) who were attempting pregnancy reported at baseline any weight loss attempts over the past 12 months, and their minimum and maximum weights during that time. Follow up lasted one to six menstrual cycles and throughout pregnancy. Using bodyweight measured at 4 weeks' gestation, participants were categorised as having weight loss ≥5%, weight gain ≥5%, both, or neither, over the previous 12-18 months. Log-binomial models adjusted for potential confounders.Main Outcome Measures: Risk ratio (RR) and 95% confidence interval (CI) of pregnancy loss.Results: Attempted weight loss was reported by 44% of women and actual weight loss by 11%, but neither was consistently associated with pregnancy loss. The RR for recent weight gain ≥5% was 1.65 (CI 1.09, 2.49).Conclusions: Weight gain over the period spanning 12-18 months pre-conception to 4 weeks' gestation may increase the risk of pregnancy loss among fertile women with prior pregnancy losses. Attempted and actual weight loss were not associated with pregnancy loss; however, replication is needed from larger studies with data on particular weight-loss methods.Tweetable Abstract: Recent weight gain before and around the time of conception may increase the risk of pregnancy loss. [ABSTRACT FROM AUTHOR]

Three patients with culture-proven Mycobacterium tuberculosis meningitis were studied. Analysis of cerebrospinal fluid with an enzyme-linked immunosorbent assay (ELISA) method measuring IgG antibody to purified protein derivative rapidly yielded positive results, whereas results of acid-fast smears were negative and cultures took several weeks before growth appeared. We did serial studies of cerebrospinal fluid and sera from one patient. Initially, greater amounts of IgG antibody to purified protein derivative were present in the cerebrospinal fluid than in the serum. The antibody level in the cerebrospinal fluid paralleled the patient's clinical course, cerebrospinal fluid cell count, protein level, and glucose level. Cerebrospinal fluid samples from 33 hospitalized control patients were negative for antibody to purified protein derivative. The ELISA method measuring IgG antibody to purified protein derivative should be evaluated as a means of early diagnosis and management of patients with suspected tuberculous meningitis. [ABSTRACT FROM AUTHOR]

Five stages of allergic bronchopulmonary aspergillosis were identified in 40 patients studied for several years. The stages are acute, remission, exacerbation, corticosteroid-dependent asthma, and fibrotic. The acute stage has all criteria of the disease and responds to prednisone. The remission stage is free from significant asthma or exacerbations. The exacerbation stage has recurrent flares of acute allergic bronchopulmonary aspergillosis. The corticosteroid-dependent asthma stage may have recurrent exacerbations of allergic bronchopulmonary aspergillosis and severe asthma. The fibrotic stage is an advanced stage of radiographic abnormalities with asthma, irreversible and partially reversible obstructive pulmonary function changes, and poor prognosis. Measurement of IgE and IgG antibodies against Aspergillus fumigatus is of diagnostic value in all stages. [ABSTRACT FROM AUTHOR]

We report the case of a 36-year-old woman with erythrocytosis due to ectopic erythropoietin production by a very large uterine leiomyoma. Awareness of this uncommon condition is important so that the correct diagnosis can be suggested prior to surgery and radical resection can be avoided. [ABSTRACT FROM AUTHOR]

Introduction: Despite progress in the representation of women in the medical profession, substantial gender disparities persist in leadership roles, particularly in clinical trials. Clinical trials are crucial to evidence-based medicine, offering visibility, career advancement, and future funding opportunities for principal investigators (PIs). However, women remain underrepresented in these roles, especially in genetics. This study aimed to evaluate (1) the proportion of women PIs in genetic clinical trials and its change over time, (2) trial characteristics (phase, funding source, intervention type) associated with women PIs, and (3) the geographic distribution of women-led trials in the United States., Methods: We analyzed 4,112 genetic clinical trials conducted in the United States and registered on ClinicalTrials.gov between 2007 and 2024. Trials lacking defined phases or complete investigator information were excluded. Statistical analyses were conducted using Fisher's exact tests and univariate linear regression., Results: Women comprised 1,552 out of 4,112 (37.7%) PIs, with representation fluctuating from seven out of 24 (29.2%) in 2008 to a peak of 17 out of 29 (58%) in 2010 before leveling off to 573 out of 1,712 (33%) in 2024. Women PIs conducted a higher number of behavioral (240 out of 1,552, 15.5%) and other interventions (218 out of 1,552, 14%) studies, compared to 196 out of 2,560 (7.7%) and 222 out of 2,560 (8.7%), respectively, for men. On the other hand, men PIs had a higher number of genetic (111 out of 2,560, 4.3%) and drug (1,654 out of 2,560, 64.6%) trials, compared to 44 out of 1,552 (7.7%) and 841 out of 1,552 (54.2%), respectively, for women. Women received more federal funding (24 out of 1,552 (1.5%) vs. 17 out of 2,560 (0.6%)), while men dominated industry funding (695 out of 2,560 (27.1%) vs. 386 out of 1,552 (24.9%))., Conclusion: Women remain underrepresented as PIs in genetic clinical trials, with no sustained growth over time. Mentorship programs, equitable funding policies, and increased visibility of women researchers are essential to address these disparities and foster equity in clinical trial leadership., Competing Interests: Human subjects: All authors have confirmed that this study did not involve human participants or tissue. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Karimi et al.)

Chronological age has been the standard for quantifying the aging process. While it is simple to quantify it cannot fully discern the biological variability of aging between individuals. The growing body of interest in this variability of human aging has led to the introduction of new biomarkers to operationalize biological age. The inclusion of body composition may provide additional value to biological aging as a prediction and estimation factor of individual health outcomes. Diagnostic images based on radiomic techniques such as Computed Tomography contain an untapped wealth of patient-specific data that remain inaccessible to healthcare providers. These images are beneficial for collecting information from body composition that adds precision and granularity when compared to traditional measures. This information can subsequently be aggregated to construct models for changes in the human body associated with aging. In addition, aging leads to a natural decline in the best parameter of drug dosing in older adults, glomerular filtration rate. Since the conventional models of kidney function are correlated with age and body composition, the radiomic biomarkers representing age-related changes in body composition may also serve as potential new imaging biomarkers of kidney function for personalized dosing. Our review introduces potential radiomic biomarkers as measures of body composition change targeting the aging processes. As a functional example, we have hypothesized an age-related model of radiomics as a covariate of kidney function to improve personalized dosing. Future research focusing on evaluating this hypothesis in human subject studies is acknowledged., (© 2024 The Author(s). Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)

Objectives. To characterize cannabis-related disorder medical encounter trends in the US Medicare population during 2017 to 2022. Methods. We conducted a descriptive study, which included 56 624 432 beneficiaries aged 65 years or older and 10 247 953 aged 18 to 64 years with disability. All were continuously enrolled in Medicare (Fee-for-Service or Advantage) for 183 or more days before the first day of the calendar year. We identified cannabis-related disorder encounters using International Classification of Diseases, 10th Revision, Clinical Modification diagnosis codes and computed annual encounter rates per 10 000 beneficiaries. We used the Mann-Kendall test to analyze trends over time. Results. Annual cannabis-related disorder encounter trends among beneficiaries aged 65 years or older ranged from 15.9 (95% confidence interval [CI] = 15.8, 16.0) to 39.3 (95% CI = 39.1, 39.5) per 10 000. Rates among beneficiaries aged 18 to 64 years with disability ranged from 274.8 (95% CI = 273.6, 276.0) to 373.7 (95% CI = 372.3, 375.2) per 10 000. Rates increased over time across both groups, with average annual increases of 4.3 (95% CI = 3.3, 5.3; P  = .01) and 17.1 (95% CI = 11.0, 23.2; P  = .02) per 10 000, respectively. Conclusions. Further work is needed to explore the impact of coexisting medical conditions on outcomes that result from cannabis-related disorders. ( Am J Public Health . 2024;114(S8):S694-S697. https://doi.org/10.2105/AJPH.2024.307729).

Cyanobacteria provide an economical, feasible, and environmentally friendly solution for heavy metal removal. In addition, plasma can facilitate the removal of heavy metals across various time frames. In this study, we applied plasma-activated water (PAW) to prepare Neowestiellopsis persica A1387 strain medium culture for 0, 10, 15, and 20 min via an Atmospheric Cold Plasma Jet device (ACPJ-17A). Nickel removal efficiency was evaluated after 48 hours of cultivation under controlled conditions at 0, 10, 30, 60, and 90 min. Further investigation was performed through FTIR, GC-MS, and XRD techniques. Statistical analysis of ANOVA and Tukey's test indicated that the samples treated for 15 min had the highest biomass dry weight, polysaccharide content, and nickel removal rate (p ≤ 0.05). The GC-MS analysis presented elevated concentrations of ethanol, 1,3-dimethylbenzene, acetic acid, 3-methylbutyl ester, aromatic chemicals, 2-methyl-1-propanol, and 3-octen-2-ol in all samples treated with plasma. The functional group analysis using the FT-IR approach showed increased peak intensities with more extended treatment periods, indicating the addition of methyl, methylene, and hydroxyl groups to the cyanobacterium cell wall. Furthermore, a peak at 468 cm⁻¹ wavelength was observed, correlating to the Ni-O stretching mode after absorption of Ni on the cyanobacterium surface. The XRD data exhibited prominent peaks in all diffraction patterns angles below 20 degrees, suggesting the presence of amorphous and non-crystalline chemical structures within the cyanobacterial structures. The peak intensity increased with longer treatment durations. The 15-min plasma treatment optimized Ni removal, but the efficiency decreased with prolonged exposure due to adverse effects such as increased reactive oxygen species (ROS) production., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing financial interests and non- financial conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Sorting cells while maintaining their viability for further processing or analysis is an essential step in a variety of biological processes ranging from early diagnostics to cell therapy. Sorting techniques such as fluorescence-activated cell sorting (FACS) have evolved considerably and provide standard ways of sorting. Nevertheless, the search for compact, integrated, efficient, and high throughput microfluidic sorting platforms continues due to challenges such as cost, cell viability, and biosafety. In our previous work, we introduced a technology with the potential to become such a platform: the bubble-jet sorter. It is a silicon-based sorter chip relying on cell deflection through micro vapor bubble formation. In this work, we present a new version of the sorter chip that emphasizes durability and continuous sorting operation. To characterize the sorter, we first focus on the technical performance and show a sorter lifetime that repeatedly exceeds 80 million actuation cycles. In addition, we show continuous operation at high firing rates, but also discuss limitations due to heat buildup. In a second step, we present continuous sorting runs of millions of beads and CD3 positive T cells at rates surpassing 1000 sorting events per second, while maintaining high purity (>90%) and recovery (>85%). Dedicated viability tests show that the gentle sorting process maintains cell viability in this closed, aerosol-free device. The remarkable combination of high lifetime, sorting rate, and sorting efficiency, along with the potential for on-chip parallelization show the promise of this technology to meet the growing demand for large-scale sample isolation in drug and immunotherapy development.

Introduction Delirium is an acute and fluctuating decline in attention and cognition caused by reversible neural disruption. Post-operative delirium (POD) may happen 10 minutes after anesthesia administration up to discharge. POD has been associated with increased days of mechanical ventilation, increased patients' functional decline, prolonged intensive care unit (ICU) stay, and prolonged hospital length of stay, which can lead to nosocomial complications, further investigations, and increased treatment costs. In this study, we aim to determine the prevalence of POD and identify demographic or surgical variables associated with POD. Materials and methods This retrospective cross-sectional study was conducted at the National Guard Health Affairs Hospital (NGHA), a teaching tertiary care center in Riyadh, Kingdom of Saudi Arabia. The study included all patients older than 65 who developed POD from January 2017 to January 2023 and a control group of the same time window. The data were analyzed using custom Python code. Results The study included 108 patients, 72 of whom were male patients. General anesthesia was most used compared to other anesthesia techniques (79.630%). Patients with hypertension (HTN) and diabetes mellitus (DM) each account for 75 cases. Elective surgeries account for 86.111% of cases. Our analysis showed a significant association between POD and advanced age, male gender, DM, HTN, congestive heart failure (CHF), and chronic kidney disease (CKD).  Conclusion With our study, we hope to aid the process of better understanding POD to help healthcare providers identify high-risk patients, implement preventative measures, and enhance patient safety and satisfaction., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Almashari et al.)

Plant synthetic biology has the capability to provide solutions to global challenges in the production and supply of medicines. Recent advances in 'omics' technologies have accelerated gene discoveries in medicinal plant research so that even multistep biosynthetic pathways for bioactive plant natural products with high structural complexity can be reconstituted in heterologous plant expression systems more rapidly. This review provides an overview of concept and strategies used to produce high-value plant natural products in heterologous plant systems and highlights recent successes in engineering the biosynthesis of conventional and new medicines in alternative plant hosts., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: Mindful eating is a promising strategy to address problematic eating behaviors; however, little is known about its applicability during pregnancy. No studies have examined the combined effects of mindful and practical eating skills on eating behaviors. Aim: We examined associations between mindful and practical eating skills and eating behaviors (nutritional intake and emotional eating) among pregnant women who received psychoeducation on healthy eating and pregnancies. Methods: Participants were racially-diverse pregnant women (14-42 years) from four clinical sites in Detroit, Michigan, and Nashville, Tennessee (N = 741). We conducted multiple linear regression to examine associations between mindful (hunger cues, satiety cues, mindful check-ins) and practical (food diary/journal, MyPlate method) eating skills and nutritional intake. We calculated residualized change scores to represent changes in the quality of nutritional intake from second to third trimester. We performed multiple logistic regression to examine associations between mindful and practical eating skills and emotional eating. Results: Women improved over time in eating behaviors (better nutrition, less emotional eating). Regular use of MyPlate was associated with better nutritional intake (unstandardized coefficient [B] = -0.61), but food diaries were not. We found a significant interaction in predicting emotional eating: For those regularly paying attention to hunger cues, some use of MyPlate (Adjusted Odds Ratio [AOR] = 0.39) and especially regular use of MyPlate (AOR = 0.13) reduced the likelihood of emotional eating during pregnancy. Conclusion: Enhancing both mindful and practical eating skills, such as paying attention to hunger cues, and using the MyPlate method, may facilitate pregnant women's ability to improve their eating behaviors., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Much inter-intra-tester kinematic and kinetic repeatability research exists, with a paucity investigating inter-laboratory equivalence. The objective of this research was to evaluate the inter-laboratory equivalence between time varying unplanned kinematics and moments of unplanned sidestepping (UnSS). Eight elite female athletes completed an established UnSS procedure motion capture laboratories in the UK and Australia. Three dimensional time varying unplanned sidestepping joint kinematics and moments were compared. Discrete variables were change of direction angles and velocity. Waveform data were compared using mean differences, 1D 95%CI and RMSE. Discrete variables were compared using 0D 95% CI. The mean differences and 95%CI for UnSS kinematics broadly supported equivalence between laboratories (RMSE≤5.1°). Excluding hip flexion/extension moments (RMSE = 1.04 Nm/kg), equivalence was also supported for time varying joint moments between laboratories (RMSE≤0.40 Nm/kg). Dependent variables typically used to characterise UnSS were also equivalent. When consistent experimental and modelling procedures are employed, consistent time varying UnSS lower limb joint kinematic and moment estimates between laboratories can be obtained. We therefore interpret these results as a support of equivalence, yet highlight the challenges of establishing between-laboratory experiments or data sharing, as well as establishing appropriate ranges of acceptable uncertainty. These findings are important for data sharing and multi-centre trials.

Background: Carcinoma of the breast, a prevailing factor in female mortality worldwide, involves dysregulation of lncRNAs and microRNAs., Aim: The main goal of this research was to predict and experimentally examine the LINC01405 expression status in breast cancer subtypes, along with investigation of its interaction with miR-29b and miR-497-5p that results in regulating PI3-Kinase, WNT, and TGF-beta signaling pathways., Methods and Results: We performed a meta-analysis of five GEO datasets, encompassing microarray and RNA-seq data, to identify differentially expressed genes. The Cancer Genome Atlas transcriptome dataset was also analyzed to determine essential gene modules, associated with different stages of breast cancer by weighted gene co-expression networks. In addition, networks of drug-gene interactions were constructed to explore potential treatment options. LINC01405 as a microRNA sponge was chosen and examined. furthermore, downstream target genes were discovered. Experimental validation consisted of plasmid constructs used in cell culture experiments, RT-qPCR for expression analysis, and cell cycle assays. Our bioinformatics findings showed higher LINC01405 expression in Basal-like triple-negative breast carcinoma. In contrast, lower expression in Luminal samples was observed compared with normal samples, which was consistently observed in both breast cancer tissues and cell lines. LINC01405 expression level was correlated with miR-29b and miR-497 levels. The MDA-MB-231 cell line demonstrated higher LINC01405 expression and lower miR-29b and miR-497 expression levels. However, SKBR3 and MCF7 cells had lower LINC01405 expression and higher miR-29b and miR-497 levels, suggesting a regulatory role for LINC01405 as a competing endogenous RNA. This was experimentally confirmed when LINC01405 was overexpressed in SKBR3 cells, and the common target genes of miR-29b and miR-497 were upregulated. Additionally, LINC01405 upregulation led to the increased cell populations, proliferation, and upregulation of critical cancer-related genes, including AKT1, AKT3, mTOR, WNT3A, SMAD3, CYCLIN D1, CYCLIN D2, BCL2, and GSK3B., Conclusion: We revealed the differential expression of LINC01405 in several types of breast cancer and its role in regulating signaling pathways, potentially via scavenging miRNAs. These findings clarified the role of LINC01405 in breast cancer development and identified potential therapeutic targets., (© 2024 The Authors. Cancer Reports published by Wiley Periodicals LLC.)

Introduction: Pregnancy is a major life event during which women may experience increased psychological distress and changes in eating behaviors. However, few studies have investigated the influence of psychological distress on pregnant women's eating behaviors. The primary objective of this prospective study was to examine the associations of changes in perceived stress and depressive symptoms with emotional eating and nutritional intake during pregnancy. In addition, we examined the direct and moderating effects of perceived social support., Methods: Participants were racially diverse pregnant women (14-42 years) from 4 clinical sites in Detroit, MI, and Nashville, TN (N = 678). We used multiple linear and logistic regression models to determine if changes in stress and depressive symptoms across pregnancy were associated with changes in emotional eating and nutritional intake. We examined residualized change in stress and depressive symptoms from second to third trimester of pregnancy; positive residualized change scores indicated increased stress and depressive symptoms., Results: Participants showed significant improvement in emotional eating and nutritional intake from second to third trimester of pregnancy (P < .001 for both). At second trimester, higher depressive symptoms were associated with a greater likelihood of emotional eating (P < .001) and worse nutritional intake (P = .044) at third trimester. Increased stress and depressive symptoms during pregnancy were both associated with increased risk, whereas increased perceived social support reduced risk of emotional eating at third trimester (stress: adjusted odds ratio [AOR], 1.17; 95% CI, 1.08-1.26; depressive symptoms: AOR, 1.05; 95% CI, 1.01-1.08; social support: AOR, 0.93; 95% CI, 0.88-0.99). None were associated with changes in nutritional intake. Perceived social support did not show any moderating effects., Discussion: Increased psychological distress during pregnancy may increase emotional eating. Efforts to promote healthy eating behaviors among pregnant women should consider and address mental health., (© 2023 by the American College of Nurse-Midwives.)

Human lifespan has increased from a median of 46.5 years in 1950 to 71.7 years in 2022. As people age, one of the inevitable consequences is a decline in kidney function and glomerular filtration rate (GFR) which can have direct or indirect effects on the pharmacokinetic and pharmacodynamic profiles of many drugs. Numerous equations have been developed to generate estimated GFR (eGFR) using the two principal biomarkers: serum creatinine and serum cystatin C. However, the trajectory of changes with aging is dissimilar in these equations. In addition, there is recognition that chronological age (lifespan) often does not reflect biological age (healthspan) as an essential parameter in kidney function equations. In the past decade, there has been an increasing interest in quantifying biological age and new commercially available assays have entered the marketplace. In this narrative review, we illustrate how dominant equations of eGFR model the fractional change in this parameter very differently across chronological age. In addition, we review various biological age indicators (aging clocks) and challenges to their application in clinical practice. Importantly, by comparing vancomycin's mean clearance as a drug with limited metabolism and unchanged elimination between two age milestones in some recent population pharmacokinetic models, we show how efforts to quantify kidney function in older adults optimally remain under-explored, particularly those at the upper end of their lifespan. We also propose considering new models that integrate biological age as a new pathway to improve precision drug dosing in older adults., (© 2023 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)

Patients with atypical anorexia nervosa (AAN) or anorexia nervosa (AN) with premorbid history of higher weight (PHW; median BMI ≥ 85th %ile) may report greater eating disorder (ED) pathology, anxiety, and depression, than patients with premorbid history of lower weight (PLW; mBMI <85th %ile). Less is known about caregiver attitudes or treatment outcome related to premorbid weight history. The current study examined associations between premorbid weight history and patient/caregiver factors at presentation, during treatment, and end of treatment among adolescents (N = 138) diagnosed with AN/AAN and their caregivers who received interdisciplinary ED treatment. The sample comprised adolescents with PHW (n = 58, 40.6 %) or PLW (n = 82, 59.4 %). Adolescents with PHW did not differ with regard to patient- or caregiver-reported ED symptoms, comorbid psychopathology, rates of treatment completion, and attainment of estimated body weight compared to PLW (ps > .05). Adolescents with PHW (vs. PLW) were more likely to be diagnosed with AAN (67.9 %, p < .001), identify as cisgender male (p < .001) and to have lost more weight prior to presentation (p < .001). Perceived caregiver burden was lower among adolescents with PHW vs. PLW (p < .001). Further research should expand on this preliminary study exploring associations between premorbid weight history on patient and caregiver factors at treatment presentation and conclusion to enhance the efficacy of evidence-based treatment across the weight-spectrum., Competing Interests: Declaration of competing interest Dr. Sarah Forsberg receives royalties from Routledge Press. Dr. Le Grange receives royalties from Guilford Press and Routledge, is co-director of the Training Institute for Child and Adolescent Eating Disorders, LLC., and a member of Equip Health Clinical Advisory Board. There are no other conflicts of interest to report., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Subtle impairments in instrumental activities of daily living (IADLs) can be a key predictor of disease progression and are considered central to functional independence. Mild cognitive impairment (MCI) is a syndrome associated with significant changes in cognitive function and mild impairment in complex functional abilities. The early detection of functional decline through the identification of IADL impairments can aid early intervention strategies. Digital health technology is an objective method of capturing IADL-related behaviors. However, it is unclear how these IADL-related behaviors have been digitally assessed in the literature and what differences can be observed between MCI and normal aging., Objective: This review aimed to identify the digital methods and metrics used to assess IADL-related behaviors in people with MCI and report any statistically significant differences in digital endpoints between MCI and normal aging and how these digital endpoints change over time., Methods: A total of 16,099 articles were identified from 8 databases (CINAHL, Embase, MEDLINE, ProQuest, PsycINFO, PubMed, Web of Science, and Scopus), out of which 15 were included in this review. The included studies must have used continuous remote digital measures to assess IADL-related behaviors in adults characterized as having MCI by clinical diagnosis or assessment. This review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines., Results: Ambient technology was the most commonly used digital method to assess IADL-related behaviors in the included studies (14/15, 93%), with passive infrared motion sensors (5/15, 33%) and contact sensors (5/15, 33%) being the most prevalent types of methods. Digital technologies were used to assess IADL-related behaviors across 5 domains: activities outside of the home, everyday technology use, household and personal management, medication management, and orientation. Other recognized domains-culturally specific tasks and socialization and communication-were not assessed. Of the 79 metrics recorded among 11 types of technologies, 65 (82%) were used only once. There were inconsistent findings around differences in digital IADL endpoints across the cognitive spectrum, with limited longitudinal assessment of how they changed over time., Conclusions: Despite the broad range of metrics and methods used to digitally assess IADL-related behaviors in people with MCI, several IADLs relevant to functional decline were not studied. Measuring multiple IADL-related digital endpoints could offer more value than the measurement of discrete IADL outcomes alone to observe functional decline. Key recommendations include the development of suitable core metrics relevant to IADL-related behaviors that are based on clinically meaningful outcomes to aid the standardization and further validation of digital technologies against existing IADL measures. Increased longitudinal monitoring is necessary to capture changes in digital IADL endpoints over time in people with MCI., Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42022326861; https://www.crd.york.ac.uk/prospero/display&#95;record.php?RecordID=326861., (©Lauren Lawson, Ríona Mc Ardle, Sarah Wilson, Emily Beswick, Radin Karimi, Sarah P Slight. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.07.2023.)

Multi-planar forces and moments are known to injure the anterior cruciate ligament (ACL). In ACL injury risk studies, however, the uni-planar frontal plane external knee abduction moment is frequently studied in isolation. This study aimed to determine if the frontal plane knee moment (KM-Y) could classify all individuals crossing a risk threshold compared to those classified by a multi-planar non-sagittal knee moment vector (KM-YZ). Recreationally active females completed three sports tasks-drop vertical jumps, single-leg drop vertical jumps and planned sidesteps. Peak knee abduction moments and peak non-sagittal resultant knee moments were obtained for each task, and a risk threshold of the sample mean plus 1.6 standard deviations was used for classification. A sensitivity analysis of the threshold from 1-2 standard deviations was also conducted. KM-Y did not identify all participants who crossed the risk threshold as the non-sagittal moment identified unique individuals. This result was consistent across tasks and threshold sensitivities. Analysing the peak uni-planar knee abduction moment alone is therefore likely overly reductionist, as this study demonstrates that a KM-YZ threshold identifies 'at risk' individuals that a KM-Y threshold does not. Multi-planar moment metrics such as KM-YZ may help facilitate the development of screening protocols across multiple tasks.

Plant alkaloids constitute an important class of bioactive chemicals with applications in medicine and agriculture. However, the knowledge gap of the diversity and biosynthesis of phytoalkaloids prevents systematic advances in biotechnology for engineered production of these high-value compounds. In particular, the identification of cytochrome P450s driving the structural diversity of phytoalkaloids has remained challenging. Here, we use a combination of reverse genetics with discovery metabolomics and multivariate statistical analysis followed by in planta transient assays to investigate alkaloid diversity and functionally characterize two candidate cytochrome P450s genes from Atropa belladonna without a priori knowledge of their functions or information regarding the identities of key pathway intermediates. This approach uncovered a largely unexplored root localized alkaloid sub-network that relies on pseudotropine as precursor. The two cytochrome P450s catalyze N-demethylation and ring-hydroxylation reactions within the early steps in the biosynthesis of diverse N-demethylated modified tropane alkaloids., (© 2022. The Author(s).)

A woman who is infertile is defined as a woman who is unable to conceive after having unprotected sex for more than one year. 20-25% of couples worldwide suffer from infertility each year (60 to 80 million couples). In vitro fertilization (IVF) plays a significant role in the treatment of various types of infertility, including fallopian tube defects, endometriosis, immunity, and male causes. IVF is a complex procedure that can be used to aid fertility or prevent genetic problems in the fetus. The objective of this review is to investigate factors that affect IVF failure and success rates. Need for this review is predicated on the different results obtained from previous studies, the high prevalence of infertility, and the lack of a similar study in this field. Articles were regarded as suitable if they evaluated the association between any factor and IVF outcome. A comprehensive search of databases was completed from their inception until March 2021. Our search resulted in 1278 articles. After assessing the titles and abstracts, we selected 70 articles for further reading. Our review shows that the effectiveness of IVF treatment depends on many factors. These include the physical environment, genetics, psychological factors, serum levels of certain hormones, sperm characteristics, as well as the age and body mass index of couples. Based on the results of our study, nutrient supplementation maybe beneficial for the enhancement of semen quality. For better IVF outcome, it is better for obese women to balance their body mass index (BMI) before IVF procedure initiation., Competing Interests: The authors declare no conflicts of interest., (Copyright© by Royan Institute. All rights reserved.)

Nanoparticles are a promising solution for delivery of a wide range of medicines and vaccines. Optimizing their design depends on being able to resolve, understand, and predict biophysical and therapeutic properties, as a function of design parameters. While existing tools have made great progress, gaps in understanding remain because of the inability to make detailed measurements of multiple correlated properties. Typically, an average measurement is made across a heterogeneous population, obscuring potentially important information. In this work, we develop and apply a method for characterizing nanoparticles with single-particle resolution. We use convex lens-induced confinement (CLiC) microscopy to isolate and quantify the diffusive trajectories and fluorescent intensities of individual nanoparticles trapped in microwells for long times. First, we benchmark detailed measurements of fluorescent polystyrene nanoparticles against prior data to validate our approach. Second, we apply our method to investigate the size and loading properties of lipid nanoparticle (LNP) vehicles containing silencing RNA (siRNA), as a function of lipid formulation, solution pH, and drug-loading. By taking a comprehensive look at the correlation between the intensity and size measurements, we gain insights into LNP structure and how the siRNA is distributed in the LNP. Beyond introducing an analytic for size and loading, this work allows for future studies of dynamics with single-particle resolution, such as LNP fusion and drug-release kinetics. The prime contribution of this work is to better understand the connections between microscopic and macroscopic properties of drug-delivery vehicles, enabling and accelerating their discovery and development.

Barcodes are playing a significant role in different industries in the recent years and among the two most popular 2D barcodes, the QR code has grown exponentially. The QR-DN1.0 dataset includes 5 categories of QR codes that will cover low to high density levels. Each group has 15 QR codes: 5 images for testing and 10 images for training. After embedding the QRs into 30 color images using blind watermarking techniques and then extracting the QRs from the images taken with the mobile phone camera with three different methods, we will have three groups of 2250 extracted QR images, which provides a total of 6750 distorted and noisy QR images. In each of the mentioned three categories, the data is divided into two parts: testing, with 750 images, and training, with 2250 images. For every distorted QR in the dataset, a non-distorted instance of it is placed as a ground truth. One of the advantages of this data set is that it is real. Because no simulated noise has been added to the images and this dataset is completely derived from the real word challenge of extracting embedded QRs in color images captured from the watermarked image on the screen. It also includes various types of QRs such as single character, short sentence, long sentence, URL and location., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 Published by Elsevier Inc.)

Computer-aided drug design provides broad structural modifications to evolving bioactive molecules without an immediate requirement to observe synthetic restraints or tedious protocols. Subsequently, the most promising guidelines with regard to synthetic and biological resources may be focused on upcoming steps. Molecular docking is common in-silico drug design techniques since it predicts ligand-receptor interaction modes and associated binding affinities. Current docking simulations suffer serious constraints in estimating accurate ligand-receptor binding affinities despite several advantages and historical results. Response surface method (RSM) is an efficient statistical approach for modeling and optimization of various pharmaceutical systems. With the aim of unveiling the full potential of RSM in optimizing molecular docking simulations, this study particularly focused on binding affinity prediction of citalopram-serotonin transporter (SERT) and donepezil-acetyl cholinesterase (AChE) complexes. For this purpose, Box-Behnken design of experiments (DOE) was used to develop a trial matrix for simultaneous variations of AutoDock4.2 driven binding affinity data with selected factor levels. Responses of all docking trials were considered as estimated protein inhibition constants with regard to validated data for each drug. The output matrix was subjected to statistical analysis and constructing polynomial quadratic models. Numerical optimization steps to attain ideal docking accuracies revealed that more accurate results might be envisaged through the best combination of factor levels and considering factor interactions. Results of the current study indicated that the application of RSM in molecular docking simulations might lead to optimized docking protocols with more stable estimates of ligand-target interactions and hence better correlation of in-silico in-vitro data.

No-go theorems have played an important role in the development and assessment of scientific theories. They have stopped whole research programmes and have given rise to strong ontological commitments. Given the importance they obviously have had in physics and philosophy of physics and the huge amount of literature on the consequences of specific no-go theorems, there has been relatively little attention to the more abstract assessment of no-go theorems as a tool in theory development. We will here provide this abstract assessment of no-go theorems and conclude that the methodological implications one may draw from no-go theorems are in disagreement with the implications that have often been drawn from them in the history of science., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Purpose: To study the efficacy of shear wave elastography (SWE), using both qualitative and quantitative methods, alone and in conjunction with other B-mode features., Method: 117 patients with 123 nodules were studied both by conventional ultrasonography and SWE. Size, echogenicity, margins, internal calcification (micro- or macro-calcification), composition, shape and color Doppler were assessed for each nodule. The elasticity was assessed both qualitatively and quantitatively. Velocity in the ROI (Region of Interest) was calculated in the stiffest portions for 3 times, and maximum and mean velocity were obtained. ROC curve was analyzed to calculate the best cut-off value of the SWV (Shear Wave Velocity). Univariate logistic regression was used to examine the maximum and mean SWV as discrete variables and the results were compared to key variables of conventional US (Ultrasound) features., Result: 123 nodules in 117 patients were evaluated. Poor margins, hypoechogenicity, micro-calcification, color Doppler grades III and IV, color map grades IV and V, maximum and minimum velocity had significant correlation with malignancy. The highest Nagelkerke R2 belonged to maximum and mean velocity (R2 = 41.2 and 39 respectively) which propose them as the strongest predictors of malignancy. The best cut-off point for differentiation of benign from malignant nodules was 3.63 m/s for maximum velocity (sensitivity of 90 %, specificity of 78.2 %,) and 3.44 m/s for mean velocity (sensitivity of 90 %, specificity of 76.4 %)., Conclusion: The Real-time SWE is a promising test for the preoperative malignancy risk stratification of patients and maximum velocity has the strongest predictive value for both conventional and elastography variables., Competing Interests: Declaration of Competing Interest No potential conflicts of interest are disclosed., (Copyright © 2020 Elsevier B.V. All rights reserved.)

The present study deals with optimizing, producing, characterizing, application and techno- economic analysis of oxidative enzymes [Laccase (Lac), manganese peroxidase (MnP), and lignin peroxidase (LiP)] from Aspergillus iizukae EAN605 in submerged fermentation process using pumpkin peels as a production substrate. The best operating parameters for producing Lac, MnP and LiP (6.15, 2.58 and 127.99 U mg -1 respectively) were recorded with 20 g 100 mL -1 of substrate, 4.6 mL 100 mL -1 of inoculum size at pH 5.5 after 10 days. The crude enzyme exhibited high stability at pH (3-9) and temperatures (20-60 °C). K m (Michaelis-Menten) of Lac, MnP and LiP crude enzyme was 2.25, 1.79 and 0.72 mM respectively. The decolourization of Remazol Brilliant Blue R by the crude enzyme was 84.84 %. The techno-economic analysis was assessed for a production unit with an annual operating time for enzymatic production and application is 7920 h/year and 100 m 3 of the capacity. The process would produce 27,000 cm 3 of crude enzyme with a price of USD 0.107 per cm 3 compared to USD 1 per cm 3 of the current commercial enzyme. The findings indicated that pumpkin peels have potential as a production substrate for oxidative enzymes from A. iizukae EAN605 and is economically feasible., Competing Interests: Declaration of Competing Interest The authors confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Objective: Obesity has become a major, worldwide public health issue and is associated with a greater risk of adverse pregnancy outcomes. Leptin, a hormone produced by adipocytes, is elevated in individuals with obesity and may mediate the association between obesity and pregnancy outcomes. Though leptin levels during pregnancy have been associated with pregnancy outcomes, less is understood regarding preconception levels. Therefore, the objective of this study was to evaluate associations between preconception leptin levels and adverse pregnancy outcomes., Methods: This was a prospective cohort study nested within a large randomized controlled trial conducted at four medical centres in the United States. A total of 1078 women completed the parent study; this analysis involved women who became pregnant during that study (n = 776). Patients were healthy women, ages 18 to 40, attempting to conceive, with 1 to 2 prior pregnancy losses. Participants were followed for less than or equal to 6 cycles while trying to conceive and throughout pregnancy if they conceived. Preconception leptin concentrations were measured in serum collected at baseline then categorized by tertiles (using the lowest as reference group). Weighted log-binomial regression estimated risk ratios (RR) and 95% confidence intervals (CIs) for pregnancy loss, preterm delivery (PTD), gestational diabetes (GDM), and hypertensive disorders in pregnancy, adjusting for age, waist-to-hip ratio (WHR), and body mass index (BMI)., Results: The mean (SD) BMI in this cohort was 25.4 ± 6.0. GDM (RR 18.37; 95% CI, 2.39-141.55) and hypertensive disorders of pregnancy (RR 2.35; 95% CI, 1.20-4.61) risks were higher among women in the high tertile after adjusting for age and WHR. The associated risk persisted when adjusting for BMI for GDM but was attenuated for hypertensive disorders in pregnancy. Leptin levels were not associated with risk of pregnancy loss or PTD., Conclusions: Women with higher baseline preconception leptin levels had a higher likelihood of experiencing some adverse pregnancy outcomes including GDM and hypertensive disorders of pregnancy. These findings warrant further evaluation, especially in light of the association between leptin and obesity., Competing Interests: The authors declared no conflict of interest., (Published 2019. This article is a U.S. Government work and is in the public domain in the USA. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)

New technologies have powered rapid advances in cellular imaging, genomics and phenotypic analysis in life sciences. However, most of these methods operate at sample population levels and provide statistical averages of aggregated data that fail to capture single-cell heterogeneity, complicating drug discovery and development. Here we demonstrate a new single-cell approach based on convex lens-induced confinement (CLiC) microscopy. We validated CLiC on yeast cells, demonstrating subcellular localization with an enhanced signal-to-noise and fluorescent signal detection sensitivity compared with traditional imaging. In the live-cell CLiC assay, cellular proliferation times were consistent with flask culture. Using methotrexate, we provide drug response data showing a fivefold cell size increase following drug exposure. Taken together, CLiC enables high-quality imaging of single-cell drug response and proliferation for extended observation periods.

The inactivation of antibiotic resistant Escherichia coli (Gram negative) and Staphylococcus aureus (Gram positive) seeded in greywater by bimetallic bio-nanoparticles was optimized by using response surface methodology (RSM). The bimetallic nanoparticles (Cu/Zn NPs) were synthesized in secondary metabolite of a novel fungal strain identified as Aspergillus iizukae EAN605 grown in pumpkin medium. Cu/Zn NPs were very effective for inhibiting growth of E. coli and S. aureus. The maximum inactivation was optimized with 0.028 mg mL-1 of Cu/Zn NPs, at pH 6 and after 60 min, at which the reduction of E. coli and S. aureus was 5.6 vs. 5.3 and 5.2 vs. 5.4 log reduction for actual and predicted values, respectively. The inactivation mechanism was described based on the analysis of untreated and treated bacterial cells by Field emission scanning electron microscopy (FESEM), Energy Dispersive X-Ray Spectroscopy (EDS), Atomic Force Microscopy (AFM) revealed a damage in the cell wall structure due to the effect of Cu/Zn NPs. Moreover, the Raman Spectroscopy showed that the Cu/Zn NPs led to degradation of carbohydrates and amino structures on the bacteria cell wall. The Fourier transform infrared spectroscopy (FTIR) analysis confirmed that the destruction take place in the C-C bond of the functional groups available in the bacterial cell wall. The techno economic analysis revealed that the biosynthesis Cu/Zn NPs is economically feasible. These findings demonstrated that Cu/Zn NPs can effectively inhibit pathogenic bacteria in the greywater., Competing Interests: The authors have declared that no competing interests exist.