Growth Curve Research Articles

Does change in trauma-related shame predict change in PTSD symptomatology?

Trauma-related shame (TR-shame) is associated with Posttraumatic Stress Disorder (PTSD) symptoms. However, research findings are inconsistent regarding the role of TR-shame in PTSD treatment. The purpose of this study was to examine if change in TR-shame predicted change in PTSD symptoms in treatment. A sample of 462 adults who received PTSD treatment at a Partial Hospitalization Program completed questionnaires measuring TR-shame (i.e., Trauma-Related Shame Inventory; TRSI) and PTSD symptoms (PTSD Checklist for DSM-5; PCL-5). Latent growth curve models were estimated to examine if the rate of change in TRSI predicted the rate of change in PCL-5 by using structural equation modeling. Furthermore, a latent regression model was estimated to predict the intercept and slope of the PCL-5. Model fits for the PCL-5 and the TRSI linear models were acceptable and both linear slopes were significant. On average, PCL-5 scores reduced 22.18 points from admission to discharge, while TRSI scores reduced 21.9 points from admission to discharge. The results of latent curve regression model suggested that the TRSI linear slope and intercept predicted the PCL-5 linear slope and intercept, respectively. Additionally, post-hoc analyses suggested that the variance in PCL-5 factors at discharge that were explained by TRSI intercept and linear slope ranged from 18.6% to 34.9%. The results of this study indicated that the rate of change in TR-shame predicted the rate of change in PTSD symptoms. Given the negative impact of TR-shame on PTSD symptoms, TR-shame should be a target in treatment for PTSD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Impact of caregiving on mental, self-rated, and physical health: evidence from the China health and retirement longitudinal study.

Given the escalating demand for care services, understanding the impact of informal caregiving, providing unpaid care for family members, on own health is essential. This study longitudinally analyzed the association of caregiving (and different caregiver types) with mental, physical, and self-rated health. Urban-rural, gender, and employment heterogeneity were further investigated. Based on three-wave data (2011, 2013, and 2018) from the China Health and Retirement Longitudinal Study, we used growth curve models to assess the impact of informal caregiving (providing care to family members) and caregiver types (caregivers to grandchildren, parents, spouses, or multiple family members) on three health outcomes (depressive symptoms, self-rated health, and activities of daily living limitations). Our study included 13,377 individuals. Results showed a negative correlation of caregiving with mental, physical, and self-rated health. Compared to noncaregivers, spousal caregivers and multiple caregivers were both associated with worsening mental, self-rated, and physical health. In contrast, adult child caregivers were only negatively associated with mental health, and grandparent caregiving did not significantly affect any health outcomes. Further heterogeneity analysis showed that gender did not moderate the relationship between caregiving and health, whereas the negative association between caregiving and health was more pronounced among the rural population and those employed in agriculture. Findings from the present study suggest that caregiving is detrimental to health, and recommend considering caregiver type when examining caregiving and health. These findings have vital implications for policymakers in addressing the challenges of structuring and implementing a sustainable informal care system.

Host and fungal factors both contribute to cryptococcosis-associated hyperammonemia (cryptammonia).

Cryptococcus neoformans and Cryptococcus gattii are both known urease producers and have the potential to cause hyperammonemia. We hypothesized that the risk of hyperammonemia is increased by renal failure, burden of cryptococcal infection, and fungal strain characteristics. We performed a retrospective review of plasma ammonia levels in patients with cryptococcal infections. Risk factors for hyperammonemia were statistically compared between patients with and without hyperammonemia (>53 µmol/L). Cryptococcal cells from three patients included in the study were recovered from our biorepository. Strain characteristics including urease activity, ammonia production, growth curves, microscopy, melanin production, and M13 molecular typing were analyzed and compared with a wild-type (WT) C. neoformans strain. We included 29 patients, of whom 37.9% had hyperammonemia, 59% had disseminated cryptococcal infection (DCI), and 41% had isolated central nervous system infection. Thirty-eight percent of patients had renal failure and 28% had liver disease. Renal failure was associated with 4.4 times (95% confidence interval [CI] 1.5, 13.0) higher risk of hyperammonemia. This risk was higher in DCIs (RR 6.2, 95% CI 1.0, 40.2) versus isolated cryptococcal meningitis (RR 2.5, 95% CI, 0.40, 16.0). Liver disease and cryptococcal titers were not associated with hyperammonemia. C. neoformans from one patient with extreme hyperammonemia demonstrated a 4- to 5-fold increase in extracellular urease activity, slow growth, enlarged cell size phenotypes, and diminished virulence factors. Hyperammonemia was strongly associated with renal failure in individuals with DCI, surpassing associations with liver failure or cryptococcal titers. However, profound hyperammonemia in one patient was attributable to high levels of urease secretion unique to that cryptococcal strain. Prospective studies are crucial to exploring the significance of this association.IMPORTANCECryptococcus produces and secretes the urease enzyme to facilitate its colonization of the host. Urease breaks down urea into ammonia, overwhelming the liver's detoxification process and leading to hyperammonemia in some hosts. This underrecognized complication exacerbates organ dysfunction alongside the infection. Our study investigated this intricate relationship, uncovering a strong association between the development of hyperammonemia and renal failure in patients with cryptococcal infections, particularly those with disseminated infections. We also explore mechanisms underlying increased urease activity, specifically in strains associated with extreme hyperammonemia. Our discoveries provide a foundation for advancing research into cryptococcal metabolism and identifying therapeutic targets to enhance patient outcomes.

Silica nanoparticles containing nano-silver and chlorhexidine to suppress Porphyromonas gingivalis biofilm and modulate multispecies biofilms toward healthy tendency

ABSTRACT Objectives This research first investigated the effect of mesoporous silica nanoparticles (nMS) carrying chlorhexidine and silver (nMS-nAg-Chx) on periodontitis-related biofilms. This study aimed to investigate (1) the antibacterial activity on Porphyromonas gingivalis (P. gingivalis) biofilm; (2) the suppressing effect on virulence of P. gingivalis biofilm; (3) the regulating effect on periodontitis-related multispecies biofilm. Methods Silver nanoparticles (nAg) and chlorhexidine (Chx) were co-loaded into nMS to form nMS-nAg-Chx. Inhibitory zone test and minimum inhibitory concentration (MIC) against P. gingivalis were tested. Growth curves, crystal violet (CV) staining, live/dead staining and scanning electron microscopy (SEM) observation were performed. Biofilm virulence was assessed. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay and Quantitative Real Time-PCR (qPCR) were performed to validate the activity and composition changes of multispecies biofilm (P. gingivalis, Streptococcus gordonii and Streptococcus sanguinis). Results nMS-nAg-Chx inhibited P. gingivalis biofilm dose-dependently (p<0.05), with MIC of 18.75 µg/mL. There were fewer live bacteria, less biomass and less virulence in nMS-nAg-Chx groups (p<0.05). nMS-nAg-Chx inhibited and modified periodontitis-related biofilms. The proportion of pathogenic bacteria decreased from 16.08 to 1.07% and that of helpful bacteria increased from 82.65 to 94.31% in 25 μg/mL nMS-nAg-Chx group for 72 h. Conclusions nMS-nAg-Chx inhibited P. gingivalis growth, decreased biofilm virulence and modulated periodontitis-related multispecies biofilms toward healthy tendency. pH-sensitive nMS-nAg-Chx inhibit the pathogens and regulate oral microecology, showing great potential in periodontitis adjunctive therapy.

Unveiling the types of growth patterns of mobile startups: do business models matter?

ABSTRACT It is important to understand the growth of startups because they are a driver of economic prosperity and wealth. However, due to their short history and high failure rate, research measuring startup growth has been limited and has relied on qualitative data. This study uses monthly active user (MAU) data of mobile-based startups (n = 266) collected by InnoForest, a startup growth analysis platform in South Korea, to classify the patterns of their growth curves using GA-NLS-based Bass model estimation. We also investigate how growth patterns differ depending on several popular business characteristics across mobile apps. The Bass model was used to categorise the pattern of the growth curve, resulting in the four growth patterns: Stealthy Influencer, Rapid Scaler, Late Bloomer, and Niche Dominator. Furthermore, there were differences in growth patterns between the platform and non-platform businesses, and between fixed-fee and pay-per-transaction services. This study reveals that the growth of mobile-based startups, as measured by MAUs using Bass model, follows different patterns depending on the attitudes of the users of startups’ apps and the speed at which apps’ growth peaks. The results can be useful for developing startup growth strategies, making investment decisions, and formulating policies for startup growth.

Cumulative effect of metabolic risk factors on left ventricular geometry in those with versus without early-onset type 2 diabetes or prediabetes: The Coronary Artery Risk Development in Young Adults (CARDIA) study.

To investigate metabolic risk factors (RFs) that accumulated over 20 years related to left ventricular mass index (LVMI), relative wall thickness (RWT) and LV remodelling patterns in participants with versus without early-onset type 2 diabetes (T2D) or prediabetes (pre-D). A total of 287 early-onset T2D/pre-D individuals versus 565 sociodemographic-matched euglycaemic individuals were selected from the Coronary Artery Risk Development in Young Adults (CARDIA) study, years 0-25. We used the area under the growth curve (AUC) derived from quadratic random-effects models of four or more repeated measures of RFs (fasting glucose [FG], insulin, triglycerides [TG], low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL-c), total cholesterol (total-c), blood pressure and body mass index) to estimate the cumulative burden, and their associations with LV outcomes. One standard deviation greater AUC of log (TG) (per 0.48) and HDL-c (per 13.5 mg/dL) were associated with RWT (β 0.21 and -0.2) in the early-onset T2D/pre-D group, but not in the euglycaemia group (β 0.01 and 0.05, P interactions .02 and .03). In both the early-onset T2D/pre-D and euglycaemia groups, greater AUCs of log (FG) (per 0.17) and log (insulin) (per 0.43) were associated with higher RWT (β ranges 0.12-0.24). Greater AUCs of systolic blood pressure (per 10 mmHg) and diastolic blood pressure (per 7.3 mmHg) were associated with higher RWT and LVMI, irrespective of glycaemic status (β ranges 0.17-0.28). Cumulative TG (odds ratio 3.4, 95% confidence interval: 1.8-6.3), HDL-c (0.23, 0.09-0.59), total-c (1.9, 1.1-3.1) and FG (2.2, 1.25-3.9) were statistically associated with concentric hypertrophy in the T2D/pre-D group only. Sustained hyperglycaemia and hyperinsulinaemia are associated with RWT, and those individuals with early T2D/pre-D are potentially at greater risk because of their higher levels of glucose and insulin. Dyslipidaemia was associated with LV structural abnormalities in those individuals with early-onset T2D/pre-D.

Life Chances, Subjective Perceptions, and Healthy Lifestyles in Older Adults: Longitudinal Evidence from China.

Previous studies and theories show that healthy lifestyles are affected by life chances and subjective perceptions. However, it remains unclear how older adults change between different lifestyle profiles as they age. We proposed the healthy lifestyle duality framework and tested it among older Chinese adults using a longitudinal design. Data were obtained from four Chinese Longitudinal Healthy Longevity Surveys conducted between 2008 and 2018 (N = 31,445). Latent transition analysis (LTA) and hierarchical multinomial growth curve (HMGC) models were performed to investigate healthy lifestyle profiles and their associations with life chances and subjective perceptions over time. Four distinct healthy lifestyle profiles were identified: healthy, risky, low-standard, and mixed groups, and their changes show path dependency. Across ten years, the proportion of the healthy group ranged from 11.16% to 16.97%. Both life chances and subjective perceptions were longitudinally associated with healthy lifestyles, with age and cohort effects observed. Our findings support the healthy lifestyle duality framework and reveal that life chances and subjective perceptions influence lifestyle changes over time. Public health policies and health intervention programs should adapt to the specific needs of different age groups and generations.

Growth trajectories and roles of expectancy, task value, and cost in middle-school physical education

This longitudinal investigation tracked the progression of students’ expectancy for success, task value, and perceived cost in the context of physical education throughout an academic year. The study involved 399 middle-school students from China, and data were collected at three distinct time points. Analysis using latent growth curve models revealed positive trajectories in both expectancy and task value, along with decreases in perceived cost. Variations in motivation were observed based on demographic factors, both in initial motivation levels and change rate. At the beginning of the academic year, senior students, girls, and students who were overweight exhibited lower motivation compared to their counterparts, but these motivation disparities tended to reduce over time. Changes in motivation were significant predictors of learning outcomes. Students who sustained high levels of expectancy and task value while reducing their perceived effort cost demonstrated higher cardiorespiratory fitness. The findings expand the theoretical understanding of expectancy, task value, and cost, thereby supporting the feasibility of implementing programmatic interventions to bolster motivation in physical education.

Modeling trajectories of physical aggression from infancy to pre-school age, their early predictors, and school-age outcomes.

This study identified latent trajectories of physical aggression (TPA) from infancy to preschool age and evaluated (a) effects of early parent, parenting and child predictors on TPA as well as on social, behavioral, and academic functioning in Grade 2, and (b) TPA effects net of early predictor effects on Grade 2 functioning. We used data from the Behavior Outlook Norwegian Developmental Study (BONDS), which included 1,159 children (559 girls). Parents reported on risk and protective factors, and on physical aggression from 1 to 5 years of age; teachers reported on Grade 2 outcomes. We employed latent class growth curve analyses and identified nine TPA. In fully adjusted models simultaneously testing all associations among predictors, trajectories, and outcomes, maternal and paternal harsh parenting, child gender, and sibling presence predicted TPA, which significantly predicted externalizing and academic competence in Grade 2. Child gender had a pervasive influence on all outcomes as well as on TPA. To our knowledge, this is the first trajectory study to determine which predictors are most proximal, more distal, or just confounded, with their relative direct effect sizes, and to link early paternal as well as maternal harsh parenting practices with children's TPA. Our findings underscore the need to include fathers in developmental research and early prevention and intervention efforts.

Isolation and characterization of two phages against emetic Bacillus cereus and their potential applications

AbstractBacillus cereus is a common foodborne pathogen capable of producing cereulide and enterotoxin. Consumption of food contaminated with cereulide can even result in fatality. Bacteriophages are increasingly being utilized as biocontrol agents to combat specific pathogens in a variety of food products. However, there are currently no lytic phages available to target cereulide‐producing B. cereus. This study aims to isolate and characterize two novel phages, DC1 and DC2, and assess their potential for use in food substrates. These two phages possessed the widest host range among the reported lytic phages that target B. cereus. The whole genome analysis demonstrated that DC1 and DC2 belonged to the Tsarbombavirus genus of the Bastillevirinae subfamily, which is part of the Herelleviridae family. The one‐step growth curve analysis revealed that DC1 had a latent period of 30 min and a burst size of approximately 39 PFU (plaque‐forming units) per cell. On the other hand, DC2 exhibited a shorter latent period of 15 min and a larger burst size of 124 PFU per cell. Both phages had a burst period of 30 min. Furthermore, DC1 and DC2 displayed excellent stability within a wide range of pH levels and temperatures. After undergoing a brief phage‐soaking treatment, DC1 and DC2 effectively reduced the bacterial count in spiked food samples. Additionally, they inhibited the formation of biofilms and degraded already‐formed biofilms. Collectively, DC1 and DC2 exhibit great potential as biocontrol agents for the prevention and control of B. cereus contamination in foods.

Age is not just a number: How incorrect ageing impacts close-kin mark-recapture estimates of population size.

Population size is a key parameter for the conservation of animal species. Close-kin mark-recapture (CKMR) relies on the observed frequency and type of kinship among individuals sampled from the population to estimate population size. Knowledge of the age of the individuals, or a surrogate thereof, is essential for inference with acceptable precision. One common approach, particularly in fish studies, is to measure animal length and infer age using an assumed age-length relationship (a 'growth curve'). We used simulation to test the effect of misspecifying the length measurement error and the growth curve on population size estimation. Simulated populations represented two fictional shark species, one with a relatively simple life history and the other with a more complex life history based on the grey reef shark (Carcharhinus amblyrhynchos). We estimated sex-specific adult abundance, which we assumed to be constant in time. We observed small median biases in these estimates ranging from 1.35% to 2.79% when specifying the correct measurement error standard deviation and growth curve. CI coverage was adequate whenever the growth curve was correctly specified. Introducing error via misspecified growth curves resulted in changes in the magnitude of the estimated adult population, where underestimating age negatively biased the abundance estimates. Over- and underestimating the standard deviation of length measurement error did not introduce a bias and had negligible effect on the variance in the estimates. Our findings show that assuming an incorrect standard deviation of length measurement error has little effect on estimation, but having an accurate growth curve is crucial for CKMR whenever ageing is based on length measurements. If ageing could be biased, researchers should be cautious when interpreting CKMR results and consider the potential biases arising from inaccurate age inference.

Gender Stratification, Racial Disparities, and Student Debt Trajectories in the United States

In the United States, post-secondary educational outcomes are stratified by gender, with women attending college and completing their degrees at higher rates. At the same time, student loan debt has become an ubiquitous part of the college process for many pursuing higher education, increasing the financial risks associated with the pursuit of higher education while lessening the financial rewards. Using data from the National Longitudinal Survey of Youth 1997 (NLSY97) of young adults who ever attended a post-secondary institution and growth curve models, we estimate gender disparities in student debt trajectories throughout young adulthood. Building on work on the racialization of the student debt landscape (Houle & Addo 2022), we also investigate the intersection of race and gender, and include both within race gender analyses and within gender racial analyses. Gender differences in student debt at baseline, or at the age of first college enrollment, are large and the gender debt gap grows at 1.2% per year. We document evidence of a curvilinear relationship in student debt in young adulthood, with student debt accumulating at the beginning of the college enrollment period and the rate of increase declining over time as adults age. Women, who start the period with larger amounts of student debt, experience faster growth in their debt accumulation followed by lower declines relative to young adult men. These patterns are magnified among Black young adults, with the gender debt disparity between Black women and Black men growing 3.4% annually. We find no association between gender and student debt trajectories among Latinx and White young adults. Within-gender models highlight the prevalence of the student debt crisis among Black women and Black men. Additional analyses suggest gender differences in debt trajectories are a function of postsecondary and young adult socioeconomic characteristics, reflecting broader societal inequalities that stem from structural elements related to post-secondary schooling and economic status. These patterns may inhibit wealth-building among women and Black adults in the United States.

Screening and Activity Evaluation of Novel BCR-ABL/T315I Tyrosine Kinase Inhibitors.

Chronic myeloid leukemia (CML) is a kind of malignant tumor formed by the clonal proliferation of bone marrow hematopoietic stem cells. BCR-ABL fusion protein, found in more than 90% of patients, is a vital target for discovering anti- CML drugs. Up to date, imatinib is the first BCR-ABL tyrosine kinase inhibitor (TKI) approved by the FDA for treating CML. However, the drug resistance problems appeared for many reasons, especially the T135I mutation, a "gatekeeper" of BCR-ABL. Currently, there is no long-term effective and low side effect drug in clinical. This study intends to find novel TKIs targeting BCR-ABL with high inhibitory activity against T315I mutant protein by combining artificial intelligence technology and cell growth curve, cytotoxicity, flow cytometry and Western blot experiments. The obtained compound was found to kill leukemia cells, which had good inhibitory efficacy in BaF3/T315I cells. Compound no 4 could induce cell cycle arrest, cause autophagy and apoptosis, and inhibit the phosphorylation of BCR-ABL tyrosine kinase, STAT5 and Crkl proteins. The results indicated that the screened compound could be used as a lead compound for further research to discover ideal chronic myeloid leukemia therapeutic drugs.

Health-related quality of life (HRQoL) and symptoms in LIBRETTO-431 patients with RET fusion-positive advanced non-small-cell lung cancer (NSCLC).

11068 Background: LIBRETTO-431 (NCT04194944), a randomized phase 3 trial, compared first-line selpercatinib to platinum-based chemotherapy +/- pembrolizumab (pembro). Selpercatinib, a highly selective and potent CNS penetrant RET inhibitor, is approved for the treatment of advanced RET fusion+ NSCLC. This analysis reported NSCLC symptoms and HRQoL from LIBRETTO-431. Methods: This analysis used data (cut-off date: May 01, 2023) from the intent-to-treat (ITT) pembro subpopulation [selpercatinib (n=129); chemotherapy + pembro (control, n=83)] to assess time to confirmed deterioration (TTCD) of NSCLC symptoms (cough, dyspnea, pain, fatigue, poor appetite using NSCLC-Symptom Assessment Questionnaire [SAQ]). TTCD of NSCLC symptoms were defined as time from randomization to the first score that met the pre-specified meaningful within-patient change thresholds, confirmed at next assessment. TTCD was compared between treatment arms using log-rank test and Cox proportional hazards model. Changes of NSCLC-SAQ total score (meaningful important difference [MID] ≥2 points) and HRQoL (using EORTC QLQ-C30 Physical Function (MID ≥6 points) and Global Health Status (GHS)/QoL (MID ≥5 points)) up to 1 year were evaluated and compared between the arms using a growth curve model and mixed model for repeated measures. Results: Selpercatinib significantly (p &lt;.05) delayed TTCD of all individual symptoms with hazard ratio ranging from 0.41 (cough and pain) to 0.57 (dyspnea), compared to control (Table). Selpercatinib also showed a significant and clinically meaningful difference in the mean NSCLC-SAQ total score (difference = -2.0, p &lt;.001) and physical function (difference = 8.1, p =.003) at 1 year, compared to control. GHS/QoL was improved in both arms with no difference in the mean scores between the arms at 1 year. Conclusions: Selpercatinib significantly delayed TTCD of NSCLC symptoms and improved physical function compared to control in this patient population after 1 year of treatment. The findings were consistent with the favorable efficacy of selpercatinib compared with platinum-based chemotherapy + pembro and further support 1L use of selpercatinib in this population. [Table: see text]

Analysis of Growth Curve with Non-Linear Models of Gompertz and Logistics Model in Female Katjang X Boer Goats in Malaysia

Analysis of Growth Curve with Non-Linear Models of Gompertz and Logistics Model in Female Katjang X Boer Goats in Malaysia

Marine environmental variability in Northern Patagonia (Southwestern Atlantic Ocean) as recorded in Glycymeris longior shells

Certain marine regions in the world lack long instrumental records of environmental variables or such records are incomplete. This deficiency particularly applies to Argentine Patagonia, where existing instrumental records span only the last few decades. In the present study it was explored whether such data can be reconstructed from a natural archive, specifically shells of the bivalve mollusk Glycymeris longior from the San Matías Gulf, north Patagonia. For this purpose, a multidecade-long time-series was constructed using variations in the annual shell growth. The time-series spans from 1890 to 2020 and is based on shells from museum collections (live-collected from 1918, 1933 and 1945) and from scientific surveys conducted between 1989 and 2021. An analysis of the links between environmental variables and shell growth was performed between 1976 and 2020 (expressed population signal >0.85). The common signal among the growth curves of individual specimens of G. longior suggests that the growth is influenced by environmental parameters. However, the growth of G. longior did not show significant correlations with the low- nor with the high-frequency components of SST and food supply (chlorophyll-a concentration and POC), suggesting that these parameters do not limit shell growth at the studied site or were undetected with our analyses. The chronology also seems to be insensitive to regional climate patterns such as the Southern Annular Mode. The chronology has the potential for being expanded spatially and temporally.

Multiethnic Growth Standards for Fetal Body Composition and Organ Volumes Derived from 3D Ultrasonography

BackgroundA major goal of contemporary obstetrical practice is to optimize fetal growth and development throughout pregnancy. To date, fetal growth during prenatal care is assessed by performing ultrasonographic measurement of two-dimensional fetal biometry to calculate an estimated fetal weight. Our group previously established two-dimensional fetal growth standards using sonographic data from a large cohort with multiple sonograms. A separate objective of that investigation involved the collection of fetal volumes from the same cohort. ObjectiveThe Fetal 3D Study was designed to establish standards for fetal soft tissue and organ volume measurements by three-dimensional ultrasonography and compare growth trajectories with conventional two-dimensional measures where applicable. Study DesignThe NICHD Fetal 3D Study included research-quality images of singletons collected in a prospective, racially and ethnically diverse, low-risk cohort of pregnant individuals at 12 U.S. sites, with up to five scans per fetus (N=1,730 fetuses). Abdominal subcutaneous tissue thickness was measured from two-dimensional images and fetal limb soft tissue parameters extracted from three-dimensional multiplanar views. Cerebellar, lung, liver and kidney volumes were measured using virtual organ computer aided analysis (VOCAL). Fractional arm and thigh total volumes, and fractional lean limb volumes were measured, with fractional limb fat volume calculated by subtracting lean from total. For each measure, weighted curves (5th, 50th, 95th percentiles) were derived from 15-41 weeks’ using linear mixed models for repeated measures with cubic splines. ResultsSubcutaneous thickness of the abdomen, arm, and thigh increased linearly, with slight acceleration around 27-29 weeks. Fractional volumes of the arm, thigh, and lean limb volumes increased along a quadratic curvature, with acceleration around 29-30 weeks. In contrast, growth patterns for two-dimensional humerus and femur lengths demonstrated a logarithmic shape, with fastest growth in the 2nd trimester. The mid-arm area curve was similar in shape to fractional arm volume, with an acceleration around 30 weeks, whereas the curve for the lean arm area was more gradual. The abdominal area curve was similar to the mid-arm area curve with an acceleration around 29 weeks. The mid-thigh and lean area curves differed from the arm areas by exhibiting a deceleration at 39 weeks. The growth curves for the mid arm and thigh circumferences were more linear with some decelerations. Cerebellar two-dimensional diameter increased linearly, whereas cerebellar three-dimensional volume growth gradually accelerated until 32 weeks and then decelerated. Lung, kidney, and liver volumes all demonstrated gradual early growth followed by a linear acceleration beginning at 25 weeks for lungs, 26-27 weeks for kidneys, and 29 weeks for liver. ConclusionGrowth patterns and timing of maximal growth for three-dimensional lean and fat measures, limb and organ volumes differed from patterns revealed by traditional two-dimensional growth measures, suggesting these parameters reflect unique facets of fetal growth. Growth in these three-dimensional measures may be altered by genetic, nutritional, metabolic or environmental influences and pregnancy complications, in ways not identifiable using corresponding two-dimensional measures. Further investigation into the relationships of these three-dimensional standards to abnormal fetal growth, adverse perinatal outcomes, and health status in postnatal life is warranted.

Synthesis of acylated derivatives of alginate oligosaccharides and evaluation of their potential antibacterial activities against Staphylococcus aureus

Alginate oligosaccharides (AOS) are crucial carbohydrate-based biomaterial used in the synthesis of potential drugs and biological agents, but their antibacterial activities are not significant. In this study, AOS acylated derivatives were synthesized by grafting maleic anhydride (MA) onto AOS at varying ratios. Additionally, their inhibitory effects against Staphylococcus aureus were thoroughly investigated. Characterization of the AOS acylated derivatives (AOS-MA-x, where x = 1, 5, 10, and 20) was conducted using Fourier-transformed infrared spectroscopy, 1H nuclear magnetic resonance spectroscopy, and X-ray diffraction, which confirmed the successful synthesis of these derivatives. The bacteriostatic activity of the AOS-MA derivatives was assessed using growth curves and plate coating method, demonstrating significant antibacterial effects against S. aureus, as compared with AOS. Among these derivatives, AOS-MA-20 exhibited the most potent bacteriostatic activity and was selected for further investigation of its inhibitory mechanism. Scanning electron microscopy analysis revealed that treatment with AOS-MA-20 led to the lysis and rupture of S. aureus cells, expelling their intracellular contents. Moreover, AOS-MA-20 disrupted the integrity of cell wall and cell membrane, impacted ATPase activity, and inhibited the formation of biofilm to some extent, ultimately resulting in bacterial death. These findings lay a foundational framework for the development of environmentally friendly antimicrobial agents.

Centroid of the bacterial growth curves: a metric to assess phage efficiency

Phage replication can be studied using various approaches, including measuring the optical density (OD) of a bacterial culture in a liquid medium in the presence of phages. A few quantitative methods are available to measure and compare the efficiency of phages by using a single index based on the analysis of OD curves. However, these methods are not always applicable to non-canonical OD curves. Using the concept of center of area (centroid), we developed a metric called Centroid Index (CI), sensitive to the trend of the growth curves (OD distribution) including bacterial regrowth, which is not considered by the methods already available. We also provide a user-friendly software to facilitate the calculation of CI. This method offers an alternative and more precise way to determine phage efficiency by considering the OD variations over time, which may help in the selection of phages for biocontrol applications.

USP14 increases the sensitivity of retinoblastoma to cisplatin by mediating the ferroptosis.

The aim of this study is to explore the function of USP14 on the sensitivity of retinoblastoma (RB) to cisplatin (DDP) and the underlying mechanism. USP14 was knockdown in Y79 cells by transfecting three siRNAs (si-USP14-1, si-USP14-2, and si-USP14-3), with si-USP14 NC as the negative control. si-USP14-3 was selected by results of Western blotting. The CCK-8 assay was used to detect the IC50 of Y79 cells and the growth curve. The cell cycle, cell apoptosis, and ROS level were measured by flow cytometry. The expression level of P-GP, ERCC1, survivin, GPX4, FTH1, ACSL4, NOX1, COX2, and FASN was determined by the Western blotting assay. CO-IP assay was utilized to evaluate the interaction between USP14 and FASN. The IC50 of DDP in Y79 cells and Y79/DDP cells was 7.83 µM and 24.67 µM, respectively. Compared to control and si-USP14 NC groups, increased apoptotic rate and ROS level, and arrested cell cycle in S phase were observed in USP14-knockdown Y79 cells. Compared to control and si-USP14 NC groups, increased apoptotic rate and arrested cell cycle in G0/G1 phase were observed in USP14-knockdown Y79/DDP cells. Compared to control, increased ROS level was observed in USP14-knockdown Y79/DDP cells. Compared to the si-USP14 NC groups, extremely downregulated P-GP, ERCC1, survivin, GPX4, FTH1, NOX1, COX2, and FASN were observed in USP14-knockdown Y79 cells or Y79/DDP cells, accompanied by the elevated expression of ACSL4. The interaction between USP14 and FASN was identified according to the result of CO-IP assay. By silencing USP14 in Y79 and Y79/DDP cells, levels of resistance-related proteins (P-GP, ERCC1, and survivin), ferroptosis-related proteins (FTH1 and GPX4), and lipid metabolism-related proteins (NOX1, COX2, and FASN) were dramatically reduced, accompanied by enhanced ROS level, increased apoptosis, and restrained DNA content, indicating that USP14 might suppress the DDP resistance in RB by mediating ferroptosis, which is an important target for treating RB.