Development Time Research Articles

Early selective attention to the articulating mouth as a potential female-specific marker of better language development in autism: a review

Autism is a neurodevelopmental condition with early onset, usually entailing language differences compared to neurotypical peers. Females are four times less likely than males to be diagnosed with autism, and the language features associated with this condition are less frequent in females than in males. However, the developmental mechanisms underlying these sex differences remain unclear. In neurotypical populations, sex differences in language development are also observable from early on, with females outperforming males. One mechanism underlying these sex differences may be early differences in selective attention to talking faces. During the first year, more mouth-looking generally predicts better language development, but sex differences exist. Female infants look at the mouth of a talking face more than males without penalizing looking to the eyes, and reduced mouth-looking in early infancy relates to better vocabulary in toddlerhood only in females. In this hypothesis and theory article, we propose that unique female gaze patterns to the mouth may constitute an early female-specific candidate marker that acts as a protective marker for language development also in autism. Since autism is highly heritable, investigating infants at elevated likelihood for autism offers the opportunity to search for sex-specific markers operating early in life before autistic features and language differences emerge. We argue that, as in neurotypical female infants, mouth-looking may also protect female infants-at-elevated-likelihood-for-autism population from potential later differences in language skills. If so, then sex-specific early behavioral markers, potentially acting as protective markers of language, may compensate for some genetic risk markers affecting this population. Here we gather evidence from neurotypical infants and those with elevated likelihood of autism to uncover why biological sex, the development of selective attention to the mouth, and language acquisition could be intimately related in both populations. We also propose hypotheses regarding potential sex-differentiated neurodevelopmental pathways. We end discussing future research challenges: how generalizable mouth-looking could be as a potential female-specific early language marker across contexts (experimental vs. real life), countries, and developmental time. Ultimately, we aim to target a novel protective candidate of language acquisition, informing tailored interventions that consider sex as an important source of individual variability.

Quality traits of the lady beetle Eriopis connexa (Germar) resistant to pyrethroids over 130 generations of rearing

Abstract Augmentative biological control requires the rearing of large quantities of natural enemies to meet customers' demands. We hypothesise that successive generations of an insecticide‐resistant lady beetle population, under constant physical conditions and fed alternative prey, could compromise its quality as a natural enemy. Adaptive costs of resistance are particularly high in insecticide‐resistant populations. The predatory lady beetle, Eriopis connexa (Germar), exhibits resistance to λ‐cyhalothrin (EcViR), and others pyrethroids. We compared the biological and predatory traits of the EcViR population to those of a field‐collected and susceptible population (EcCV). During 35 days of observations, when females from both populations faced food shortages, EcViR females demonstrated higher fecundity and similar survival rates. Predation of the aphid, Lipaphis pseudobrassicae (Davis), resulted in a similar response for both populations and greater aphid consumption by EcViR beetles in the presence of λ‐cyhalothrin residue. Rearing larvae and adults at three constant temperatures (18, 25, and 32°C) resulted in similar developmental times between populations, but adult EcCV beetles were larger and produced more eggs at 25 and 32°C. The results show that food shortages did not affect the reproductive output or the developmental time at 18, 25, and 32°C in EcViR compared with EcCV. Nevertheless, egg production at 25 and 32°C was lower for EcViR females than for EcCV. Among the studied traits, only an effect on fecundity was observed, as predicted previously, due to the adaptive cost of resistance in EcViR, which became more evident at higher temperatures.

Combined effects of gibberellin and vermiwash on the life history and antioxidant system of Phthorimaea absoluta (Meyrick) in tomato plants

Tomato (Lycopersicon esculentum Miller), is a globally important agricultural product, yet it is under significant threat from pests such as the tomato leaf miner, Phthorimaea absoluta (Meyrick) (Lepidoptera: Gelechiidae). This study investigates the combined effects of gibberellin and vermiwash treatment on the life history and antioxidant system of P. absoluta. Given the pest’s resistance to many chemical pesticides, alternative control methods are crucial. Gibberellins are plant growth hormones known for their role in plant development and stress responses, while vermiwash is a bio-fertilizer rich in nutrients and microbial agents. We applied gibberellin and vermiwash (GV treatment) to tomato plants and assessed the impact on P. absoluta developmental stages, reproduction, and enzymatic activities. Our results show significant differences in larval development times (32.06 ± 0.39) and survival rates (0.53 ± 0.09) between treated and control groups (27.38 ± 0.35 and 0.80 ± 0.07, respectively). The GV treatment prolonged the total lifespan of P. absoluta (44.31 ± 0.51) but reduced its intrinsic rate of increase (r) (0.086 ± 0.009) and finite rate of increase (λ) (1.090 ± 0.009). Enzymatic assays revealed altered antioxidant and detoxifying enzyme activities in treated larvae. This study suggests that gibberellin and vermiwash treatments could be incorporated into pest management strategies for sustainable tomato production.

Intergenerational transport of double-stranded RNA in C. elegans can limit heritable epigenetic changes.

RNAs in circulation carry sequence-specific regulatory information between cells in plant, animal, and host-pathogen systems. Such RNA can cross generational boundaries, as evidenced by somatic double-stranded RNA (dsRNA) in the nematode Caenorhabditis elegans silencing genes of matching sequence in progeny. Here we dissect the intergenerational path taken by dsRNA from parental circulation and discover that cytosolic import through the dsRNA importer SID-1 in the parental germline and/or developing progeny varies with developmental time and dsRNA substrates. Loss of SID-1 enhances initiation of heritable RNA silencing within the germline and causes changes in the expression of the sid-1-dependent gene sdg-1 that last for more than 100 generations after restoration of SID-1. The SDG-1 protein is enriched in perinuclear germ granules required for heritable RNA silencing but is expressed from a retrotransposon targeted by such silencing. This auto-inhibitory loop suggests how retrotransposons could persist by hosting genes that regulate their own silencing.

Intergenerational transport of double-stranded RNA in C. elegans can limit heritable epigenetic changes

RNAs in circulation carry sequence-specific regulatory information between cells in plant, animal, and host-pathogen systems. Such RNA can cross generational boundaries, as evidenced by somatic double-stranded RNA (dsRNA) in the nematode Caenorhabditis elegans silencing genes of matching sequence in progeny. Here we dissect the intergenerational path taken by dsRNA from parental circulation and discover that cytosolic import through the dsRNA importer SID-1 in the parental germline and/or developing progeny varies with developmental time and dsRNA substrates. Loss of SID-1 enhances initiation of heritable RNA silencing within the germline and causes changes in the expression of the sid-1-dependent gene sdg-1 that last for more than 100 generations after restoration of SID-1. The SDG-1 protein is enriched in perinuclear germ granules required for heritable RNA silencing but is expressed from a retrotransposon targeted by such silencing. This auto-inhibitory loop suggests how retrotransposons could persist by hosting genes that regulate their own silencing.

Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics.

Development of antibodies often begins with the assessment and optimization of their physicochemical properties, and their efficient engagement with the target of interest. Decisions at the early optimization stage are critical for the success of the drug candidate but are constrained due to the limited knowledge of the antibody and target pharmacology. In the present work, we propose a machine learning-based target pharmacology assessment framework that utilizes minimal physiologically based pharmacokinetic (mPBPK) modeling and machine learning (ML) to infer optimal physicochemical properties of antibodies and their targets. We use a mPBPK model previously developed by our group that incorporates a multivariate quantitative relationship between antibodies' physicochemical properties such as molecular weight (MW), size, charge, and in silico + in vitro derived descriptors with their PK properties. In this study, we perform a high-throughput exploration of virtual antibody drug candidates with varying physicochemical properties (binding affinity, charge, etc.), and virtual target candidates with varying characteristics (baseline expression, half-life, etc.) to unravel rules for antibody drug candidate selection that achieve favorable drug-target interaction, which is defined by target occupancy (TO) percentage. We identified that variations in the antibody dose and dosing scheme, target form (soluble or membrane-bound), antibody charge, and site of action had a significant effect on the TO and selection criteria for antibody drug candidates. By unraveling new design rules for antibody drug properties that are dependent on ML-based TO assessment, we deliver a first-in-class ML-based target pharmacology assessment framework toward better understanding of the biology-specific PK and ADME processes of antibody drug candidate proteins and reduce the overall time for drug development.

Gene-replacement therapy in neurodevelopmental disorders: progress and challenges.

Heterozygous loss-of-function variants in the SLC6A1 gene, encoding GAT1, which is the main GABA transporter in the brain, lead to a broad spectrum of neuropsychiatric and neurodevelopmental disorders including epilepsy, developmental delay, intellectual disability, and autism. Gene-replacement strategies involving adeno-associated viruses (AAV) require the delivery of genes to specific types of neurons or areas in the brain, likely during certain developmental time points. In this issue of the JCI, Guo and colleagues from the Gray lab evaluated two promoters, three injection modalities, and various timing strategies for replacement of GAT1 via AAV type 9 in heterozygous and homozygous knockout mouse models. Intrathecal administration of vectors containing either promoter at postnatal day 5 achieved high expression and was the best tolerated approach. Notably, gene-replacement therapy failed at later disease stages, suggesting the importance of early gene reconstitution and confirming the importance of GABA metabolism in early brain development.

Morphology and development of immature stages of Microplitis manilae (Hymenoptera: Braconidae), an important endoparasitoid of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Abstract Microplitis manilae (Ashmead) (Hymenoptera: Braconidae) is a solitary endoparasitic wasp of Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), a significant agricultural pest. We compared the parasitism of M. manilae on the first-, second-, and third-instar larvae of S. frugiperda and found that M. manilae prefered the second instar. We investigated the effect of 5 temperatures (18, 22, 26, 30, and 34 °C) on the development period in the immature stage of M. manilae and found that moderately high temperatures shortened the development time. Considering the development period, cocooning rate, and emergence rate, 26 °C was the optimal temperature for the highest value of females’ fecundity. We also examined the development of the immature stage of M. manilae by dissecting parasitized hosts and cocoons in the laboratory. Our results revealed that the eggs matured within 2 d, and the larvae progressed through 3 instars, culminating in a total developmental period of about 9 d. The prepupal stage retained the larval form, and the pupa pigment gradually precipitated after molting. All stages were documented in detailed micrographs. Our study lays a robust foundation for further studies on the physiological interactions between M. manilae and S. frugiperda.

PWCT2: A Self-Hosting Visual Programming Language Based on Ring with Interactive Textual-to-Visual Code Conversion

Visual programming languages (VPLs) play a significant role in simplifying the process of learning to program and reducing development time. Most VPLs are developed for use in education or specific domains. Recently, some projects have aimed to provide general-purpose VPLs. Among these projects is the Programming Without Coding Technology (PWCT) project, which has been used for several years to develop and maintain the compiler and virtual machine for the Ring programming language. However, PWCT faces several issues related to code generation performance and the operating systems it supports. Additionally, its visual editor lacks many features, such as rich comments, auto-run, and the ability to import textual code, which are highly important in the era of using large language models for generating textual code. In this research, we present the PWCT2 visual programming language, which is distributed on the Steam platform. On Steam, 1772 users have launched the software, and the total usage time recorded exceeds 17,000 h. This generation provides approximately 36 times faster code generation and 20 times lower storage requirements for visual source files. It also allows for the conversion of Ring code into visual code, enabling the creation of a self-hosting VPL. It consists of approximately 92,000 lines of Ring code and comes with 394 visual components. Moreover, using Ring in this project demonstrates the feasibility of utilizing the language for projects of this scale. Ring compiles PWCT2 in less than one second, and the generated bytecode consists of approximately 724,000 instructions.

Effect of fluctuating temperatures on the development of forensically important fly species, Chrysomya megacephala (Diptera: Calliphoridae).

Necrophagous blow flies are a commonly used forensic tool to estimate the minimum postmortem interval (PMImin), where researchers collect development data under constant temperature regimes and construct models to estimate PMImin. However, the ambient temperatures of real death scenes are often fluctuant, which limits the reliability of data obtained under constant temperature regimes. Here we investigate the possible differences in the development of Chrysomya megacephala (Fabricius, 1794) (Diptera: Calliphoridae), an important species in forensic entomology. Chrysomya megacephala was exposed to nine temperature regimes with both large and small fluctuations, including a 19℃ constant temperature (19CT), 19℃ average with fluctuating temperatures 1 (19FT1) (16-22℃), a 19℃ average with fluctuating temperatures 2 (19FT2) (12-30℃), as well as 25CT (25℃), 25FT1 (22-28℃), 25FT2 (16-34℃), 28CT (28℃), 28FT1 (25-31℃) and 28FT2 (18-38℃). The total developmental durations of C. megacephala were 463.94 h (19CT), 534.50 h (19FT1), 507.78 h (19FT2), 273.70 h (25CT), 293.80 h (25FT1), 302.89 h (25FT2), 230.00 h (28CT), 245.84 h (28FT1) and 265.17 h (28FT2), respectively. The results showed that the developmental time of C. megacephala under fluctuating temperatures was longer than at constant temperatures. Except for 19℃, large amplitude fluctuating temperatures resulted in more developmental delays. Although there were numerical differences in the developmental time of almost all the stages of C. megacephala at fluctuating temperatures compared with constant temperatures, the Kruskal-Wallis test only found statistically significant differences during a few developmental stages (p < 0.05). We also used the larval body length equations constructed with constant temperature data to verify larval growth at fluctuating temperatures and found that there was a deviation between the estimated development time and the actual development time. These results are reference for the application and correction of C. megacephala data, aiding in the accurate estimation of PMImin.

Growth and metabolic performance of house fly and black soldier fly larvae differ across densities and waste-based growth substrates.

Large scale production of insect larvae is considered a sustainable way to upcycle various organic waste- and by-products into more valuable food and feed products. The sustainability of insect larvae production depends on the substrates and species being used, but comparative studies that include both growth and efficiency are lacking. Here we compare larval fitness, including survival, development time, weight, substrate conversion efficiency, substrate reduction, and metabolic parameters across different combinations of densities and waste- and by-product-based substrates on the two fly species, the house fly (Musca domestica) and the black soldier fly (Hermetia illucens). The waste- and by-product-based substrates were a brewer's spent grain-based substrate, a digested sludge-based substrate, and a wheat bran/deproteinized grass-based substrate all highly abundant and of low value. Substrate and density significantly impacted on most larval growth and metabolic performance traits, but dependent on species. The brewer's spent grain-based substrate generally gave the highest performance in terms of larval weight, larval yield, and substrate conversion efficiency for both species, while a high density gave a higher larval yield and substrate conversion efficiency, but lower larval weight. Generally, black soldier fly larvae showed lower metabolic costs and higher net growth efficiency than house fly larvae. Altogether, our results demonstrate that both larval species, substrate, and larval densities affect larval growth and metabolic performance, and subsequently the scope for valorizing waste- or by-products to achieve a sustainable production of food and feed.

DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer.

Osteoporosis (OP) is one of the most common diseases in the elderly population. It is mostly treated with medication, but drug research and development have the disadvantage of taking a long time and having a high cost. Therefore, we developed a graph neural network with the help of artificial intelligence to provide new ideas for drug research and development for OP. In this study, we built a new osteoporosis graph (called OPGraph) and proposed a deep graph neural network (called DeepTransformer) to predict new drugs for OP. OPGraph is a graph data model established by gathering features and their interrelationships from a vast amount of OP data. DeepTransformer uses GraphTransformer as its foundational network and applies residual connections for deep layering. The analysis and results showed that DeepTransformer outperformed numerous models on OPGraph, with area under the curve (AUC) and area under the precision-recall curve (AUPR) reaching 0.9916 and 0.9911, respectively. In addition, we conducted an in vitro validation experiment on two of the seven predicted compounds (Puerarin and Aucubin), and the results corroborated the predictions of our model. The model we developed with the help of artificial intelligence can effectively reduce the time and cost of OP drug development and reduce the heavy economic burden brought to patient's family by complications caused by osteoporosis.

Evaluation of extruded quinoa flour on dough rheology and white salted noodles quality.

White salted noodles are popular staples in Asia, but the ones with limited nutrient composition and high glycemic value still present significant concerns. This study investigated the potential of incorporating extruded quinoa flour (EQF) into wheat flour to enhance nutrient quality and reduce the starch digestibility of composite noodles. Moreover, the effect of EQF addition on the rheological properties of wheat dough and the cooking properties of composite noodles was also studied. The results showed that increasing the proportion of EQF in the composite flour led to a decrease in pasting viscosities and an increase in pasting temperatures, indicating that EQF inhibits starch gelatinization and retrogradation. The incorporation of EQF increased water absorption and softening degree while decreasing dough development time and viscoelasticity. The cooked noodles exhibited a significant reduction in water absorption, hardness, chewiness, and springiness, while an increase in cooking loss following EQF addition. Notably, noodles supplemented with EQF exhibited reduced overall starch digestibility with an increased digestion rate. Collectively, our results showed that substituting 10-20% EQF for wheat flour in noodles effectively lowered total starch digestibility and avoided high cooking loss. This study will have implications for the industrial application of quinoa as a staple food.

C2C Startup Model of Balinese Ceremony Ticketing System in Ubud Bali

Ubud is one of the tourist destinations in Bali. Ubud combines natural attractions, culture, and spiritual life harmoniously. One of the elements of cultural attraction in Ubud is the implementation of traditional and religious ceremonies that uphold ancestral customs. With this potential, Ubud can be a tourist destination supporting Balinese cultural tourism's progress. Currently, information regarding the implementation of traditional and religious ceremonies in Ubud is limited to tourists. Tourists can witness the traditional and religious ceremonies held through information from tour guides, who are ceremony organizers. The availability of a ceremony ticketing system that connects tourists with traditional village/banjar communities can directly address the problem of access to information and services for the implementation of traditional and religious ceremonies in Ubud. This study aims to develop a C2C e-commerce model that involves klian adat and tourists directly selling tickets for traditional and religious ceremonies in Singakerta Village, Ubud District. Given the limited time for system development, the RAD software development method was selected as the system development method. The user experience test's Likert scale results showed that the system's quality reached 84.13% for tourist satisfaction and 84.19% for klian adat satisfaction. This indicates that the system is at an excellent level based on the user.

Phenology and voltinism of the Asian longhorned beetle (Coleoptera: Cerambycidae) in South Carolina, United States.

A new population of the Asian longhorned beetle (Anoplophora glabripennis Motschulsky), an invasive species in North America since 1996, was discovered in Charleston County, South Carolina, in 2020. This population is the furthest south Asian longhorned beetle has established in North America. Previous models only estimate development time at this latitude; as such, we examined Asian longhorned beetle phenology in this novel climate. Over 24 consecutive months, we collected 153 eggs, 878 larvae, 37 pupae, and 1 unemerged adult (1,009 total specimens) from the federal quarantine zone in South Carolina and used larval head capsule width to determine development rate and voltinism. The presence of Asian longhorned beetle adults was determined via visual field observations. Asian longhorned beetle in South Carolina appears to have a synchronous univoltine life cycle, in contrast to populations in the northern United States and Canada that typically develop in 2-3 yr. This information will be useful for future model development to determine Asian longhorned beetle life cycles, for implementing novel management methods, and will aid in predictions to benefit visual survey efficacy.

Lethal and sublethal effects of selected bacterial and neem-based novel insecticides on cotton aphid, Aphis gossypii and the predator, Coccinella septempunctata.

We evaluated the lethal and sublethal effects of two novel Betaproteobacteria-based insecticides (Burkholderia spp. strain A396 as Venerate® XC; Chromobacterium subtsugae strain PRAA4-1 as Grandevo® WDG) and two neem-based insecticides (1.2% azadirachtin A and B as Azatrol and 3% azadiractin as Molt-X) on the cotton aphid, Aphis gossypii, and its natural enemy, Coccinella septempunctata. Aphids were given both residual and direct treatments, i.e. exposed to residues applied by leaf dipping, or by spraying the insects and foliage, while the predator was treated directly with insecticides. Well-established spirotetramat (Movento® 240 SC) was used as standard due to its effectiveness against a wide range of pests, its unique mode of action, and its systemic properties. All insecticides were effective against aphid mostly in concentration-dependent manner, as do exposure time, but at different magnitudes. Spirotetramat and Azatrol induced the highest toxicity to adult aphids, while spirotetramat and Molt-X were more noxious to aphid nymphs. C. subtsugae and Burkholderia were less effective, inducing only moderate levels of aphid mortality. Azatrol and spirotetramat were more detrimental to the fecundity of aphid compared to other products. Insecticides significantly increased the development time of nymphs surviving exposure to insecticides, except Burkholderia. Azatrol were more destructive to eggs, larvae and adult of Coccinella septempunctata, together with spirotetramat for young larvae and adults, relative to other treatment. The development time of predator larvae remained unaffected by treatment. New Betaproteobacteria- and neem-based insecticides except Azatrol seem to be a promising tool to suppress population of Aphis gossypii and integrate pest management programmes.

Trends in insecticide resistance in natural populations of Culex quinquefasciatus and its impact on mosquito fitness in Dschang, West Cameroon

Specific information about the dispersion of Culex quinquefasciatus from Dschang in western Cameroon is scarce, and evidence-based interventions are needed. Common use of larvicides and adulticides conduct to the development of vectors resistance which can lead to deep biological changes, including fitness costs. We assessed the profile of insecticide resistance in field populations of Cx. quiquefasciatus and its potential fitness cost in a lineage selected for deltamethrin and permethrin resistance in the laboratory for two generations. The resistance intensity of the Cx. quinquefasciatus population was moderated when the population was exposed to deltamethrin at 10 × . Preexposure to PBO led to the restoration of full susceptibility to both deltamethrin and permethrin. Compared with that of the control group, female fecundity rates, egg hatchability, and pupation rates were significantly lower in the insecticide exposed groups. Larval development time and adults emergence rates were comparable between insecticide-exposed groups and the control. Insecticide-exposed adults lived longer than control adults did. Our findings suggest that the mechanisms selected for pyrethroid resistance are associated with negative impacts on different life-trait parameters and support the hypothesis that insecticide resistance is related to a high fitness cost.

Potential Azo-8-hydroxyquinoline derivatives as multi-target lead candidates for Alzheimer's disease: An in-depth in silico study of monoamine oxidase and cholinesterase inhibitors.

Cognitive dysfunction in Alzheimer's disease results from a complex interplay of various pathological processes, including the dysregulation of key enzymes such as acetylcholinesterase (AChE), butyrylcholinesterase (BuChE), and monoamine oxidase B (MAO-B). This study proposes and designs a series of novel molecules derived from 8-hydroxyquinoline (Azo-8HQ) as potential multi-target lead candidates for treating AD. An exhaustive in silico analysis was conducted, encompassing docking studies, ADMET analysis, density functional theory (DFT) studies, molecular dynamics simulations, and subsequent MM-GBSA calculations to examine the pharmacological potential of these molecules with the specific targets of interest. Out of the 63 Azo-8HQ derivatives analysed, two molecules, 14c and 17c, demonstrated strong affinities for AChE, BuChE, and MAO-B, along with favourable pharmacokinetic profiles and electronic properties. Molecular dynamics simulations confirmed the stability of these molecules within the active sites of the targets, and MM-GBSA calculations revealed low binding energies, indicating robust interactions. These findings identify molecules 14c and 17c as promising multi-target candidates for the treatment of AD, based on an in-depth computational study aimed at minimizing drug development costs and time. Future work will include the synthesis of these molecules followed by in-depth in vitro and in vivo testing to validate their potential therapeutic efficacy.

P-745. Skin and Soft-tissue Infections among Military Recruits

Abstract Background Skin and soft-tissue infections (SSTIs), commonly Staphylococcus aureus, are an important cause of morbidity in congregate military populations with high rates among military recruits. We characterized SSTI epidemiology over an ∼10-year period at a military training facility in GA (largest U.S. training facility; ∼30,000 recruits per year). Methods SSTI data were collected from US Army Infantry recruits during basic training, through four studies (2 observational and 2 interventional studies spanning 2010-2019) and pooled into a single resource for retrospective research. SSTI characteristics (syndromes and diagnosis timing) and microbiology are described. Results The study population includes 3288 recruits who developed SSTIs during the training period for a total of 3690 SSTIs. Median age was 19 years and median time for initial SSTI development was 7 (IQR 4 -11) weeks of training. Cellulitis (N=1600, 43%) and abscesses (N=1098, 30%) were most common and median time to diagnosis was 7 (IQR 4-11) and 8 (IQR 4-11) weeks of training, respectively. Cultures were collected from 1620 (44%) SSTIs, including 77% of abscesses. Methicillin-resistant and methicillin-susceptible S. aureus (MRSA and MSSA) were identified in 784 (48%) and 610 (38%) cultures, respectively (Table). Other findings include coagulase-negative staphylococci (4%), group A streptococci (0.2%), and group B streptococci (0.4%). A total of 373 recruits had ≥ 2 SSTIs and 55% of the subsequent 402 SSTIs were abscesses. Median time to 2nd and 3rd SSTIs was 10 (IQR 7.5-12) and 12 (IQR 10-13) weeks of training, respectively. There was a significant difference among the bacterial distribution for abscesses (p&amp;lt; 0.001) with MRSA contributing the highest proportion (62%), followed by MSSA (28%). MRSA was also identified with 64% of the 166 subsequent SSTIs with cultures. Conclusion Cellulitis and abscesses are frequent infections affecting military recruits during high-intensity congregate training. The most common bacteria with purulent infections (i.e., abscesses), as well as subsequent infections, was MRSA. Pooling data from multiple studies allows for examination of syndromes and etiology to inform targeted interventions. Disclosures David Tribble, MD, DrPH, AstraZeneca: The IDCRP and HJF were funded to conduct an unrelated phase III COVID-19 monoclonal antibody immunoprophylaxis trial as part of US Govt COVID Response

P-965. Using Simulated Corrective Mentoring to Improve Clinical Decision-Making for Patients with HIV and Identify Drivers for Treatment Choices

Abstract Background Due to the vast number of treatment options for the management of patients with HIV, providers are challenged to optimally individualize treatment based on comorbidities, viral resistance, and patient preferences. The use of corrective mentoring in continuing education (CE), is a proven method to improve clinical decision-making while identifying persisting practice challenges. Methods Vindico Medical Education and Syandus developed four virtual clinical scenarios designed to encourage optimal decision-making for patients with HIV by providing immediate feedback via simulated corrective mentoring. Results As of April 2024, 220 physicians or advanced practice providers involved in the management of patients with HIV had participated in the simulations. Across simulations, only 27% of initial decisions were optimal. At baseline, the most challenging topics regarding medication management were related to management during pregnancy (33% optimal), initial ART selection (49% optimal), and identifying candidates for injectable therapy (44% optimal). However, after corrective mentoring, there was over a 300% increase in optimal decisions made. Of optimal decisions, 48% of clinicians preferred BIC/FTC/TAF as initial treatment selection for a young male with no comorbidities and 47% preferred this regimen for an older patient with early-stage chronic kidney disease (CKD) and various other cardiovascular comorbidities. However, for a patient who is pregnant, BIC/FTC/TAF was also the preferred regimen, even though at the time of the simulation development there was insufficient data to recommend its use. These findings suggest that comfortability with certain regimens may be a driving force for clinical decision-making, even when those decisions may not be ideal. Drivers of choosing alternatives such as CAB/RPV or DTC/3TC include avoidance of weight gain, reduced pill burden, and later stage CKD. Conclusion The use of corrective mentoring in simulation-based CE is an impactful way to encourage clinical decision-making aligned with the latest evidence. Moreover, these data highlight the need to educate clinicians who manage patients with HIV on the importance of individualizing treatment based on patient characteristics. Disclosures All Authors: No reported disclosures