Developmental 17-OHPC exposure disrupts behavior regulated by the mesocorticolimbic dopaminergic system in rats.

The synthetic progestin, 17α-hydroxyprogesterone caproate (17-OHPC), is administered to pregnant individuals with the intention of reducing preterm birth. Although there is evidence that 17-OHPC is likely transferred from mother to fetus, there is little information regarding the potential effects of 17-OHPC administration on behavioral and neural development in offspring. Neonatal 17-OHPC exposure disrupts the development of the mesocorticolimbic dopaminergic pathway and associated behaviors in rats. 17-OHPC exposure altered dopaminergic innervation of prelimbic medial prefrontal cortex (mPFC) in neonates and adolescents and altered performance in measures of decision-making, set-shifting, and reversal-learning tasks. The present study tested the effects of developmental 17-OHPC exposure on numerous cognitive behaviors mediated by the mesocorticolimbic dopaminergic system, such as decision-making in a delay discounting task, latent inhibition following conditioned taste aversion (CTA), and spatial memory in the Morris Water Maze (MWM). The present work also aimed to further investigate response omissions in rats exposed to 17-OHPC during development and the potential role of dopamine D2 receptor in altering omissions in a delay discounting task. 17-OHPC exposure rendered rats less sensitive to an Eticlopride-induced increase in omissions in a delay discounting task when compared to controls. Quinpirole flattened the discount curve in both groups but did not significantly affect omissions in 17-OHPC-exposed or control rats. Following CTA, sucrose-pre-exposed 17-OHPC-exposed rats demonstrated decreased latent inhibition when compared to controls. In Morris Water Maze testing, 17-OHPC-exposed rats did not differ from controls after the first day of testing or during probe testing. These results suggest that exposure to 17-OHPC altered aspects of decision-making and latent inhibition in adult male rats, without affecting performance in a measure of spatial learning and memory. Further, the insensitivity of 17-OHPC-exposed males to an Eticlopride-induced increase in omissions suggests a dysfunction in the D2 receptor following exposure to this clinically used synthetic progestin.

A novel screening instrument for the assessment of autism in German language: validation of the German version of the RAADS-R, the RADS-R.

The Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R) demonstrated excellent results in its original study, with a sensitivity of 97% and a specificity of 100% (Ritvo et al. in J Autism Dev Disord 41:1076-1089, 2011). As a result, it was included in the National Institute for Health and Care Excellence (NICE) guidelines (Recommendations | Autism spectrum disorder in adults: diagnosis and management | Guidance | NICE, 2022). The questionnaire includes 80 questions across four subcategories (language, social relatedness, circumscribed interests, sensory motor). So far, the subcategory sensory motor has not been addressed in most available instruments, despite being part of the diagnostic criteria specified in DSM-5 (Falkai et al., in Diagnostisches Und Statistisches Manual Psychischer Störungen DSM-5. Hogrefe, 2015) and ICD-11 (ICD-11 for Mortality and Morbidity Statistics, 2022). In our validation study, we tested a translated German version of the questionnaire in 299 individuals (110 persons with ASD according to ICD-10 F84.0, F84.5, 64 persons with an primary mental disorders (PMD), 125 persons with no disorders). To enhance the practical use of the instrument in clinical everyday practice, the questionnaire was completed by the participants without the presence of a clinician-unlike the original study. Psychiatric diagnoses were established following the highest standards, and psychometric properties were calculated using established protocols. The German version of the RADS-R yielded very good results, with a high sensitivity of 92.5% and a high specificity of 93.6%. The area under the curve (AUC = 0.976), indicates a high quality and discriminatory power of RADS-R. Furthermore, the ROC curve analysis showed that the optimal threshold to distinguish between the ASD and non-ASD groups in the German version of the RAADS-R is a score of 81. In comparison to the RADS-R, the co-administered instruments Social Responsiveness Scale (SRS), Autism Spectrum Quotient (AQ), and Empathy Quotient (EQ) each showed slightly better specificity but worse sensitivity in this sample.The study included individuals already diagnosed with ASD according to ICD-10 (F84.0, F84.5), with or without an primary mental disorders, preventing us from identifying the influence of comorbidities on the RADS-R results. In addition, a self-report questionnaire has generally only limited objectivity and may allow for false representation of the symptoms. The RADS-R compares well with other questionnaires and can provide valuable additional information. It could turn out to be a helpful diagnostic tool for patients in Germany. We propose naming the German version RADS-R (Ritvo Autism Diagnostic Scale - rRevised) to reflect the change in terminology.

The polyadenylase PAPI is required for virulence plasmid maintenance in pathogenic bacteria.

Many species of pathogenic bacteria harbor critical plasmid-encoded virulence factors, and yet the regulation of plasmid replication is often poorly understood despite playing a critical role in plasmid-encoded gene expression. Human pathogenic Yersinia, including the plague agent Y. pestis and its close relative Y. pseudotuberculosis, require the type III secretion system (T3SS) virulence factor to subvert host defense mechanisms and colonize host tissues. The Yersinia T3SS is encoded on the IncFII plasmid for Yersinia virulence (pYV). Several layers of gene regulation enables a large increase in expression of Yersinia T3SS genes at mammalian body temperature. Surprisingly, T3SS expression is also controlled at the level of gene dosage. The number of pYV molecules relative to the number of chromosomes per cell, referred to as plasmid copy number, increases with temperature. The ability to increase and maintain elevated pYV plasmid copy number, and therefore T3SS gene dosage, at 37°C is important for Yersinia virulence. In addition, pYV is highly stable in Yersinia at all temperatures, despite being dispensable for growth outside the host. Yet how Yersinia reinforces elevated plasmid replication and plasmid stability remains unclear. In this study, we show that the chromosomal gene pcnB encoding the polyadenylase PAP I is required for regulation of pYV plasmid copy number (PCN), maintenance of pYV in the bacterial population outside the host, robust T3SS activity, and Yersinia virulence in a mouse infection model. Likewise, pcnB/PAP I is also required for robust expression of the Shigella flexneri virulence plasmid-encoded T3SS. Furthermore, Yersinia and Shigella pcnB/PAP I is required for maintaining normal PCN of model antimicrobial resistance (AMR) plasmids whose replication is regulated by sRNA, thereby increasing antibiotic resistance by ten-fold. These data suggest that pcnB/PAP I contributes to the spread and stabilization of virulence and AMR plasmids in bacterial pathogens, and is essential in maintaining the gene dosage required to mediate plasmid-encoded traits. Importantly pcnB/PAP I has been bioinformatically identified in many species of bacteria despite being studied in only a few species to date. Our work highlights the potential importance of pcnB/PAP I in antibiotic resistance, and shows for the first time that pcnB/PAP I reinforces PCN and virulence plasmid stability in natural pathogenic hosts with a direct impact on bacterial virulence.

Coupling of cell growth modulation to asymmetric division and cell cycle regulation in Caulobacter crescentus.

In proliferating bacteria, growth rate is often assumed to be similar between daughter cells. However, most of our knowledge of cell growth derives from studies on symmetrically dividing bacteria. In many α-proteobacteria, asymmetric division is a normal part of the life cycle, with each division producing daughter cells with different sizes and fates. Here, we demonstrate that the functionally distinct swarmer and stalked daughter cells produced by the model α-proteobacterium Caulobacter crescentus can have different average growth rates under nutrient-replete conditions despite sharing an identical genome and environment. The discrepancy in growth rate is due to a growth slowdown associated with the cell cycle stage preceding DNA replication (the G1 phase), which initiates in the late predivisional mother cell before daughter cell separation. Both progenies experience a G1-associated growth slowdown, but the effect is more severe in swarmer cells because they have a longer G1 phase. Activity of SpoT, which produces the (p)ppGpp alarmone and extends the G1 phase, accentuates the cell cycle-dependent growth slowdown. Collectively, our data identify a coupling between cell growth, the G1 phase, and asymmetric division that C. crescentus may exploit for environmental adaptation through SpoT activity. This coupling differentially modulates the growth rate of functionally distinct daughter cells, thereby altering the relative abundance of ecologically important G1-specific traits within the population.

Neural Mechanisms of Social Interaction Perception: Observing Interpersonal Synchrony Modulates Action Observation Network Activation and Is Spared in Autism.

How the temporal dynamics of social interactions are perceived arguably plays an important role in how one engages in social interactions and how difficulties in establishing smooth social interactions may occur. One aspect of temporal dynamics in social interactions is the mutual coordination of individuals' behaviors during social interaction, otherwise known as behavioral interpersonal synchrony (IPS). Behavioral IPS has been studied increasingly in various contexts, such as a feature of the social interaction difficulties inherent to autism. To fully understand the temporal dynamics of social interactions, or reductions thereof in autism, the neural basis of IPS perception needs to be established. Thus, the current study's aim was twofold: to establish the basic neuro-perceptual processing of IPS in social interactions for typical observers and to test whether it might differ for autistic individuals. In a task-based fMRI paradigm, participants viewed short, silent video vignettes of humans during social interactions featuring a variation of behavioral IPS. The results show that observing behavioral IPS modulates the Action Observation Network (AON). Interestingly, autistic participants showed similar neural activation patterns as non-autistic participants which were modulated by the behavioral IPS they observed in the videos, suggesting that the perception of temporal dynamics of social interactions is spared and may not underly reduced behavioral IPS often observed in autism. Nevertheless, a general difference in processing social interactions was found in autistic observers, characterized by decreased neural activation in the right middle frontal gyrus, angular gyrus, and superior temporal areas. These findings demonstrate that although the autistic and non-autistic groups indeed differed in the neural processing of social interaction perception, the temporal dynamics of these social interactions were not the reason for these differences in social interaction perception in autism. Hence, spared recruitment of the AON for processing temporal dynamics of social interactions in autism does not account for the widely reported attenuation of IPS in autism and for the widely reported and presently observed differences in social interaction perception in autism.

[Emerging suicidal ideation in a bipolar patient after taking pregabalin: a case report]. / Aufkommende Suizidgedanken einer bipolaren Patientin nach Einnahme von Pregabalin: ein Fallbericht.

Bipolar disorder is a severe mental illness and often occurs with comorbidities like anxiety or alcohol abuse. Thus pregabalin could be a promising drug. We present a case report of a 37-year-old woman with bipolar II disorder suffering from a depressive episode with features of anxiety and increased alcohol consumption. The patient was started on quetiapine as monotherapy. After a few days of add-on pregabalin, we observed suicidal ideations and self-harming behaviour, although expression of anxiety as well as alcohol consumption showed a decrease. When we stopped pregabalin and increased the dosage of quetiapine, suicidal behaviour almost disappeared. In the relevant literature, there is disagreement on the use of pregabalin. On the one hand, pregabalin is described as a safe and well-tolerated drug, and on the other hand, there are also concerns about the suicidal effect of anticonvulsants. In conclusion, we recommend the cautious use of pregabalin and other anticonvulsant drugs in patients with affective disorder. There could be a promising effect on the comorbidities but the effect on mood remains still unclear.

Implications of Developmental 17-OHPC Exposure on the Mesocorticolimbic Serotonergic and Dopaminergic Pathways and Adolescent Mood-Related Behavior in Rats.

The synthetic progestin, 17-α-hydroxyprogesterone caproate (17-OHPC), is administered to pregnant individuals at risk for recurrent preterm birth during a critical period of fetal mesocorticolimbic serotonergic and dopaminergic pathway development. These pathways play an important role in regulating cognitive behaviors later in life. Despite this, there has been very little research regarding the potential long-term effects of 17-OHPC on the behavioral and neural development of exposed children. In rodents, developmental exposure to 17-OHPC disrupts serotonergic and dopaminergic innervation of the medial prefrontal cortex and impairs decision-making in complex cognitive tasks in adulthood. The present study tested the hypothesis that developmental exposure to 17-OHPC similarly disrupts the development of serotonergic and dopaminergic pathways within limbic targets and subsequent mood-related behaviors. Developmental 17-OHPC exposure significantly increased the density of serotonin transporter-IR fibers in CA1, CA2/3, and the suprapyramidal blade of dentate gyrus in hippocampus and significantly reduced the density of TH-IR fibers within the nucleus accumbens shell in males but had no effect in females during adolescence. Irregular microglia activational phenotype and number were also observed in the hippocampus of 17-OHPC-exposed males. Developmental 17-OHPC reduced the latency to immobility in males in the forced swim test but did not affect sucrose consumption in a sucrose preference test. These findings suggest that 17-OHPC exerts sex-specific effects on the development of mesocorticolimbic pathways and mood-related behavior in adolescence and highlight the need to investigate effects in adolescent children.

Synthesis of a Borrelia burgdorferi-Derived Muropeptide Standard Fragment Library.

The interplay between the human innate immune system and bacterial cell wall components is pivotal in understanding diseases such as Crohn's disease and Lyme arthritis. Lyme disease, caused by Borrelia burgdorferi, is the most prevalent tick-borne illness in the United States, with a substantial number of cases reported annually. While antibiotic treatments are generally effective, approximately 10% of Lyme disease cases develop persistent arthritis, suggesting a dysregulated host immune response. We have previously identified a link between the immunogenic B. burgdorferi peptidoglycan (PG) and Lyme arthritis and showed that this pathogen sheds significant amounts of PG fragments during growth. Here, we synthesize these PG fragments, including ornithine-containing monosaccharides and disaccharides, to mimic the unique composition of Borrelia cell walls, using reproducible and rigorous synthetic methods. This synthetic approach allows for the modular preparation of PG derivatives, providing a diverse library of well-defined fragments. These fragments will serve as valuable tools for investigating the role of PG-mediated innate immune response in Lyme disease and aid in the development of improved diagnostic methods and treatment strategies.

Stress in autism (STREAM): A study protocol on the role of circadian activity, sleep quality and sensory reactivity.

Mental health issues are markedly increased in individuals with autism, making it the number one research priority by stakeholders. There is a crucial need to use personalized approaches to understand the underpinnings of mental illness in autism and consequently, to address individual needs. Based on the risk factors identified in typical mental research, we propose the following themes central to mental health issues in autism: sleep difficulties and stress. Indeed, the prevalence of manifold circadian disruptions and sleep difficulties in autism, alongside stress related to sensory overload, forms an integral part of autistic symptomatology. This proof-of-concept study protocol outlines an innovative, individualised approach towards investigating the interrelationships between stress indices, sleep and circadian activation patterns, and sensory sensitivity in autism. Embracing an individualized methodology, we aim to collect 14 days of data per participant from 20 individuals with autism diagnoses and 20 without. Participants' sleep will be monitored using wearable EEG headbands and a sleep diary. Diurnal tracking of heart rate and electrodermal activity through wearables will serve as proxies of stress. Those objective data will be synchronized with subjective experience traces collected throughout the day using the Temporal Experience Tracing (TET) method. TET facilitates the quantification of relevant aspects of individual experience states, such as stress or sensory sensitivities, by providing a continuous multidimensional description of subjective experiences. Capturing the dynamics of subjective experiences phase-locked to neural and physiological proxies both between and within individuals, this approach has the potential to contribute to our understanding of critical issues in autism, including sleep problems, sensory reactivity and stress. The planned strives to provide a pathway towards developing a more nuanced and individualized approach to addressing mental health in autism.

Developmental exposure to 17-α-hydroxyprogesterone caproate disrupts decision-making in adult female rats: A potential role for a dopaminergic mechanism.

The synthetic progestin, 17α-hydroxyprogesterone caproate (17-OHPC), is administered to pregnant individuals at risk for preterm birth and is likely transferred from mother to fetus. Yet, there is little information regarding the potential effects of 17-OHPC administration on behavioral and neural development in offspring. In rats, neonatal 17-OHPC exposure altered dopaminergic fiber distribution and density in the prelimbic medial prefrontal cortex (mPFC) in neonates and adolescents, respectively. Additionally, neonatal 17-OHPC exposure in male rats increased response omissions in a delay discounting task of impulsive decision-making. Because developmental 17-OHPC exposure has differential effects in males and females, investigating the effects of 17-OHPC on impulsive decision-making in female rats is necessary. The present study tested the effects of developmental 17-OHPC exposure (P1-P14) in a delay discounting task in which female rats chose between a small immediate reward and a larger delayed (0, 15 30, or 45 s) reward. 17-OHPC-exposed females made more omissions than controls. There was no effect of 17-OHPC on large reward preference nor on response time, and omissions were similar during both free- and forced-choice trials. The present study also aimed to investigate the neural mechanisms underlying omissions in 17-OHPC-exposed female rats. The dopamine transporter inhibitor, methylphenidate (MPH), was administered prior to delay discounting testing. MPH treatment did not reduce omissions in 17-OHPC-exposed females. If anything, MPH increased omissions in control females nearly fourfold during the longest delays. These results suggest that developmental 17-OHPC exposure increased omissions without affecting impulsivity or slowing decision-making. Furthermore, omissions may be regulated, at least in part, by dopaminergic mechanisms.

Glycogen phase separation drives macromolecular rearrangement and asymmetric division in E. coli.

Bacteria often experience nutrient limitation in nature and the laboratory. While exponential and stationary growth phases are well characterized in the model bacterium Escherichia coli, little is known about what transpires inside individual cells during the transition between these two phases. Through quantitative cell imaging, we found that the position of nucleoids and cell division sites becomes increasingly asymmetric during transition phase. These asymmetries were coupled with spatial reorganization of proteins, ribosomes, and RNAs to nucleoid-centric localizations. Results from live-cell imaging experiments, complemented with genetic and 13C whole-cell nuclear magnetic resonance spectroscopy studies, show that preferential accumulation of the storage polymer glycogen at the old cell pole leads to the observed rearrangements and asymmetric divisions. In vitro experiments suggest that these phenotypes are likely due to the propensity of glycogen to phase separate in crowded environments, as glycogen condensates exclude fluorescent proteins under physiological crowding conditions. Glycogen-associated differences in cell sizes between strains and future daughter cells suggest that glycogen phase separation allows cells to store large glucose reserves without counting them as cytoplasmic space.

Reduced stereotypicality and spared use of facial expression predictions for social evaluation in autism.

Background/Objective: Autism has been investigated through traditional emotion recognition paradigms, merely investigating accuracy, thereby constraining how potential differences across autistic and control individuals may be observed, identified, and described. Moreover, the use of emotional facial expression information for social functioning in autism is of relevance to provide a deeper understanding of the condition. Method: Adult autistic individuals (n = 34) and adult control individuals (n = 34) were assessed with a social perception behavioral paradigm exploring facial expression predictions and their impact on social evaluation. Results: Autistic individuals held less stereotypical predictions than controls. Importantly, despite such differences in predictions, the use of such predictions for social evaluation did not differ significantly between groups, as autistic individuals relied on their predictions to evaluate others to the same extent as controls. Conclusions: These results help to understand how autistic individuals perceive social stimuli and evaluate others, revealing a deviation from stereotypicality beyond which social evaluation strategies may be intact.

Classifying autism in a clinical population based on motion synchrony: a proof-of-concept study using real-life diagnostic interviews.

Predictive modeling strategies are increasingly studied as a means to overcome clinical bottlenecks in the diagnostic classification of autism spectrum disorder. However, while some findings are promising in the light of diagnostic marker research, many of these approaches lack the scalability for adequate and effective translation to everyday clinical practice. In this study, our aim was to explore the use of objective computer vision video analysis of real-world autism diagnostic interviews in a clinical sample of children and young individuals in the transition to adulthood to predict diagnosis. Specifically, we trained a support vector machine learning model on interpersonal synchrony data recorded in Autism Diagnostic Observation Schedule (ADOS-2) interviews of patient-clinician dyads. Our model was able to classify dyads involving an autistic patient (n = 56) with a balanced accuracy of 63.4% against dyads including a patient with other psychiatric diagnoses (n = 38). Further analyses revealed no significant associations between our classification metrics with clinical ratings. We argue that, given the above-chance performance of our classifier in a highly heterogeneous sample both in age and diagnosis, with few adjustments this highly scalable approach presents a viable route for future diagnostic marker research in autism.

An evaluation of the German version of the Sensory Perception Quotient from an expert by experience perspective.

Sensory processing is often altered in individuals with autism; thus, it is essential to develop reliable measurement tools to assess sensory perception. The Sensory Perception Quotient (SPQ) quantifies basic sensory sensitivities in adults via self-report. Adopting an expert by experience perspective, this study aimed to evaluate a German translation of the SPQ for its use in clinical and research applications, especially for autistic adults. 108 adults (n = 54 autistic) completed the German SPQ in an online assessment. A 92-item and a 35-item version of the German SPQ were analyzed for group differences and internal consistency. Our results show that adults with autism reported greater sensory sensitivity compared to non-autistic adults. Results further suggest good to excellent internal consistency for the 95-item and 35-item SPQ translations. This finding was supported by the correlative relationship between sensory sensitivity and autistic traits. These findings confirm the reliability of our SPQ translation, making it a suitable German assessment tool for basic sensory sensitivity in autistic adults.

Machine learning classification of autism spectrum disorder based on reciprocity in naturalistic social interactions.

Autism spectrum disorder is characterized by impaired social communication and interaction. As a neurodevelopmental disorder typically diagnosed during childhood, diagnosis in adulthood is preceded by a resource-heavy clinical assessment period. The ongoing developments in digital phenotyping give rise to novel opportunities within the screening and diagnostic process. Our aim was to quantify multiple non-verbal social interaction characteristics in autism and build diagnostic classification models independent of clinical ratings. We analyzed videos of naturalistic social interactions in a sample including 28 autistic and 60 non-autistic adults paired in dyads and engaging in two conversational tasks. We used existing open-source computer vision algorithms for objective annotation to extract information based on the synchrony of movement and facial expression. These were subsequently used as features in a support vector machine learning model to predict whether an individual was part of an autistic or non-autistic interaction dyad. The two prediction models based on reciprocal adaptation in facial movements, as well as individual amounts of head and body motion and facial expressiveness showed the highest precision (balanced accuracies: 79.5% and 68.8%, respectively), followed by models based on reciprocal coordination of head (balanced accuracy: 62.1%) and body (balanced accuracy: 56.7%) motion, as well as intrapersonal coordination processes (balanced accuracy: 44.2%). Combinations of these models did not increase overall predictive performance. Our work highlights the distinctive nature of non-verbal behavior in autism and its utility for digital phenotyping-based classification. Future research needs to both explore the performance of different prediction algorithms to reveal underlying mechanisms and interactions, as well as investigate the prospective generalizability and robustness of these algorithms in routine clinical care.

Interacting with autistic virtual characters: intrapersonal synchrony of nonverbal behavior affects participants' perception.

Temporal coordination of communicative behavior is not only located between but also within interaction partners (e.g., gaze and gestures). This intrapersonal synchrony (IaPS) is assumed to constitute interpersonal alignment. Studies show systematic variations in IaPS in individuals with autism, which may affect the degree of interpersonal temporal coordination. In the current study, we reversed the approach and mapped the measured nonverbal behavior of interactants with and without ASD from a previous study onto virtual characters to study the effects of the differential IaPS on observers (N = 68), both with and without ASD (crossed design). During a communication task with both characters, who indicated targets with gaze and delayed pointing gestures, we measured response times, gaze behavior, and post hoc impression formation. Results show that character behavior indicative of ASD resulted in overall enlarged decoding times in observers and this effect was even pronounced in observers with ASD. A classification of observer's gaze types indicated differentiated decoding strategies. Whereas non-autistic observers presented with a rather consistent eyes-focused strategy associated with efficient and fast responses, observers with ASD presented with highly variable decoding strategies. In contrast to communication efficiency, impression formation was not influenced by IaPS. The results underline the importance of timing differences in both production and perception processes during multimodal nonverbal communication in interactants with and without ASD. In essence, the current findings locate the manifestation of reduced reciprocity in autism not merely in the person, but in the interactional dynamics of dyads.

Through the looking glass: An adventure into the metastable world of the bacterial cytoplasm.

This personal story recounts the accidental observation, the struggles, the breakthroughs, and the collaborative spirit of a few individuals that led to the discovery that bacterial cells expend energy to effectively fluidize their otherwise "glass-like" cytoplasm and promote the dispersal of large cytoplasmic components. This adventure, which led us into an uncharted world at the intersection of cell biology and condensed matter physics about ten years ago, forever transformed the way I view cells and conduct research.

Individual and Community level Developmental Adversities: Associations with Marijuana and Alcohol Use in Late-Adolescents and Young Adults.

Exposure to community and individual level stressors during adolescence has been reported to be associated with increased substance use. However, it remains unclear what the relative contribution of different community- and individual-level factors play when alcohol and marijuana use become more prevalent during late adolescence. The present study uses a large longitudinal sample of adolescents (Wave 1: N = 2017; 55% Female; 54.5% White, 22.3% Black, 8% Hispanic, 15% other) to evaluate the association and potential interactions between community- and individual-level factors and substance use from adolescence to young adulthood (Wave 1 to Wave 3 Age Mean [SD]: 16.7 [1.1], 18.3 [1.2], 19.3 [1.2]). Across three waves of data, multilevel modeling (MLM) is used to evaluate the association between community affluence and disadvantage, individual household socioeconomic status (SES, measured as parental level of education and self-reported public assistance) and self-reported childhood maltreatment with self-reported 12-month alcohol and 12-month marijuana use occasions. Sample-selection weights and attrition-adjusted weights are accounted for in the models to evaluate the robustness of the estimated effects. Across the MLMs, there is a significant positive association between community affluence and parental education with self-reported alcohol use but not self-reported marijuana use. In post hoc analyses, higher neighborhood affluence in older adolescents is associated with higher alcohol use and lower use in younger adolescents; the opposite association is found for neighborhood disadvantage. Consistent with past literature, there is a significant positive association between self-reported childhood maltreatment and self-reported 12-month alcohol and 12-month marijuana use. Results are largely consistent across weighted and unweighted analyses, however, in weighted analyses there is a significant negative association between community disadvantage and self-reported 12-month alcohol use. This study demonstrates a nuanced relationship between community- and individual-level factors and substance use during the transitional window of adolescence which should be considered when contextualizing and interpreting normative substance use during adolescence.

Targeting Borrelia burgdorferi HtpG with a berserker molecule, a strategy for anti-microbial development.

Conventional antimicrobial discovery relies on targeting essential enzymes in pathogenic organisms, contributing to a paucity of new antibiotics to address resistant strains. Here, by targeting a non-essential enzyme, Borrelia burgdorferi HtpG, to deliver lethal payloads, we expand what can be considered druggable within any pathogen. We synthesized HS-291, an HtpG inhibitor tethered to the photoactive toxin verteporfin. Reactive oxygen species, generated by light, enables HS-291 to sterilize Borrelia cultures by causing oxidation of HtpG, and a discrete subset of proteins in proximity to the chaperone. This caused irreversible nucleoid collapse and membrane blebbing. Tethering verteporfin to the HtpG inhibitor was essential, since free verteporfin was not retained by Borrelia in contrast to HS-291. For this reason, we liken HS-291 to a berserker, wreaking havoc upon the pathogen's biology once selectively absorbed and activated. This strategy expands the druggable pathogenic genome and offsets antibiotic resistance by targeting non-essential proteins.

Apparent simplicity and emergent robustness in the control of the Escherichia coli cell cycle.

To examine how bacteria achieve robust cell proliferation across diverse conditions, we developed a method that quantifies 77 cell morphological, cell cycle, and growth phenotypes of a fluorescently labeled Escherichia coli strain and >800 gene deletion derivatives under multiple nutrient conditions. This approach revealed extensive phenotypic plasticity and deviating mutant phenotypes were often nutrient dependent. From this broad phenotypic landscape emerged simple and robust unifying rules (laws) that connect DNA replication initiation, nucleoid segregation, FtsZ ring formation, and cell constriction to specific aspects of cell size (volume, length, or added length) at the population level. Furthermore, completion of cell division followed the initiation of cell constriction after a constant time delay across strains and nutrient conditions, identifying cell constriction as a key control point for cell size determination. Our work provides a population-level description of the governing principles by which E. coli integrates cell cycle processes and growth rate with cell size to achieve its robust proliferative capability. A record of this paper's transparent peer review process is included in the supplemental information.