Severe colic in a newborn dairy calf caused by a large colostrum curd: a case report.

A newborn female, Holstein calf weighing approximately 38.5 kg developed severe, persistent colic caused by a large colostrum curd located within the calf's abomasum. Based upon 10% body weight, the calf had been fed 4 liters (L) of first-milking colostrum approximately 30 min after birth and an additional 2 L of first-milking colostrum 6 h after the first feeding. Both the first and second feedings used an esophageal tube feeder to deliver the colostrum. Colic developed shortly after the second colostrum feeding. The affected calf did not respond to on-farm supportive medical therapy and was humanely euthanized by a penetrating captive bolt approximately 22 h after the onset of colic. This on-farm colostrum feeding protocol is routinely observed in the current dairy industry. This case demonstrates calves that are fed large volumes of colostrum during a relatively short window of time may develop a large, firm colostrum curd within the abomasum that causes abdominal distension, colic, and occasional death. There is an urgent need for prospective analytical studies that determine the optimal immunoglobulin mass (g/L) and the ideal volume of colostrum fed to newborn calves for both the first and second colostrum feedings within the most beneficial time frame. Guidelines should be developed that minimize complications that adversely affect calf health and well-being while ensuring the successful transfer of passive immunity.

Identifying Critical Evidence Gaps in Wound Closure and Incision Management After Total Knee Arthroplasty: Delphi Panel Insights.

INTRODUCTION: In orthopaedic surgery, particularly total knee arthroplasty (TKA), the management of surgical wounds is critical for optimal wound healing and successful patient outcomes. Despite advances in surgical techniques, challenges persist in effectively managing surgical wounds to prevent complications and infections. This study aimed to identify and address the critical evidence gaps in wound management in TKA, including preoperative optimization, intraoperative options, and for the avoidance of postoperative complications. These are important issues surrounding wound management, which is essential for improving patient recovery and the overall success of the surgery. METHODS: Utilizing the Delphi method, this study brought together 20 experienced orthopaedic surgeons from Europe and North America. Conducted from April to September 2023, the process involved three stages: an initial electronic survey, a virtual meeting, and a concluding electronic survey. The panel reviewed and reached a consensus on 26 specific statements about wound management in TKA based on a comprehensive literature review. During these three stages and after further panel review, an alternative goal of the Delphi panel was to also identify critical evidence gaps in the current understanding of wound management practices for TKA. RESULTS: While the panel reached consensus on various wound management practices, they highlighted several major evidence gaps. Also, there was general consensus on issues such as wound closure methods including the use of mesh-adhesive dressings, skin glue, staples, sutures (including barbed sutures),and negative-pressure wound therapy (NPWT). However, it was deemed necessary that further evidence needs to be generated to address the cost-effectiveness of each and develop best practices for promoting patient outcomes. The identification of these gaps points to areas requiring more in-depth research and improvements to enhance wound care in TKA. DISCUSSION: The identification of these major evidence gaps underscores the need for targeted research in wound management surrounding TKA. Addressing these evidence gaps is crucial for the future development of more effective, efficient, and patient-friendly wound care strategies. Future research should prioritize these areas, focusing on comparative effectiveness studies and further developing clear guidelines for the use of emerging technologies. Bridging these gaps has the potential to improve patient outcomes, reduce complications, and elevate the overall success rate of TKA surgeries.

The Interprofessional Standardized Patient Experience: An Effective Interprofessional Education Activity for Prelicensure Health Professional Students.

Introduction: For future success in the modern health care environment, health professions students require effective interprofessional education experiences to develop their perceptions of other professionals on the health care team. The Interprofessional Standardized Patient Experience (ISPE) is an interprofessional education activity for prelicensure health professional students in nursing, pharmacy, physical therapy, medicine, social work, and occupational therapy. Methods: The ISPE involved collaboration among students to conduct a subjective interview. Students from six health care professions individually interviewed a simulated patient while being observed by students from other professions. A structured faculty-guided debriefing session followed the comprehensive interview process. Students completed a voluntary pre- and post-ISPE survey with interprofessional questions and feedback on the activity. Descriptive statistics were used to analyze individual responses. Differences in student opinions by student profession and by the number of professions present were examined using chi-square tests. Results: Over 4 consecutive academic years, 1,265 students completed the ISPE, and 1,028 completed the pre- and post-ISPE surveys. Analysis of the survey responses indicated that the ISPE enhanced student awareness of the functions of an interprofessional team and increased student knowledge of the roles of different health care professions. Students rated the ISPE as a valuable experience. Differences were noted in some of the measures by profession and group size. Discussion: A single ISPE had a significant impact on prelicensure students' perceptions. The ISPE is a novel and effective approach to interprofessional education that students appreciate.

PI3Kγ inhibition circumvents inflammation and vascular leak in SARS-CoV-2 and other infections.

Virulent infectious agents such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and methicillin-resistant Staphylococcus aureus (MRSA) induce tissue damage that recruits neutrophils, monocyte, and macrophages, leading to T cell exhaustion, fibrosis, vascular leak, epithelial cell depletion, and fatal organ damage. Neutrophils, monocytes, and macrophages recruited to pathogen-infected lungs, including SARS-CoV-2-infected lungs, express phosphatidylinositol 3-kinase gamma (PI3Kγ), a signaling protein that coordinates both granulocyte and monocyte trafficking to diseased tissues and immune-suppressive, profibrotic transcription in myeloid cells. PI3Kγ deletion and inhibition with the clinical PI3Kγ inhibitor eganelisib promoted survival in models of infectious diseases, including SARS-CoV-2 and MRSA, by suppressing inflammation, vascular leak, organ damage, and cytokine storm. These results demonstrate essential roles for PI3Kγ in inflammatory lung disease and support the potential use of PI3Kγ inhibitors to suppress inflammation in severe infectious diseases.

Migrating Mobile Applications to the Web: Adult Crash Cart Training.

Nurses and clinicians require knowledge and training of their facilities' code blue response cart to manage emergency scenarios. However, the nurses who access the carts change frequently through turnover and role changes. An augmented reality training solution was built for mobile devices, but encountered distribution and access challenges. This study evaluated the conversion of the mobile application to a desktop-based version deployed via a learning management system. Eight hundred fifty clinicians were assigned the interactive learning product, which collected anonymous usage data and an optional feedback survey within the module. Of 850 assigned users, 468 completed the module, and 338 completed the feedback survey. Respondents indicated a positive difference of 25.3% in retrospective pre/post confidence and an appreciation for the features of the product. Performance measured by decreasing total item search time appeared to level off after three plays. The format transition was successful, allowing the same widespread distribution as the mobile versions of [X]. Feedback gathered will drive improvements in the module.

Rapamycin-encapsulated nanoparticle delivery in polycystic kidney disease mice.

Rapamycin slows cystogenesis in murine models of polycystic kidney disease (PKD) but failed in clinical trials, potentially due to insufficient drug dosing. To improve drug efficiency without increasing dose, kidney-specific drug delivery may be used. Mesoscale nanoparticles (MNP) selectively target the proximal tubules in rodents. We explored whether MNPs can target cystic kidney tubules and whether rapamycin-encapsulated-MNPs (RapaMNPs) can slow cyst growth in Pkd1 knockout (KO) mice. MNP was intravenously administered in adult Pkd1KO mice. Serum and organs were harvested after 8, 24, 48 or 72 h to measure MNP localization, mTOR levels, and rapamycin concentration. Pkd1KO mice were then injected bi-weekly for 6 weeks with RapaMNP, rapamycin, or vehicle to determine drug efficacy on kidney cyst growth. Single MNP injections lead to kidney-preferential accumulation over other organs, specifically in tubules and cysts. Likewise, one RapaMNP injection resulted in higher drug delivery to the kidney compared to the liver, and displayed sustained mTOR inhibition. Bi-weekly injections with RapaMNP, rapamycin or vehicle for 6 weeks resulted in inconsistent mTOR inhibition and little change in cyst index, however. MNPs serve as an effective short-term, kidney-specific delivery system, but long-term RapaMNP failed to slow cyst progression in Pkd1KO mice.

Use of allopurinol to manage skewed 6-mercaptopurine metabolism in pediatric maintenance acute lymphoblastic leukemia treatment.

BACKGROUND: 6-mercaptopurine is a cornerstone of maintenance therapy for pediatric ALL. Response to 6MP is typically determined by the ANC. Therapeutic ANC range while receiving 6MP is between 500 and 1500/µL. In addition to desired myelosuppression, 6MP is associated with multiple adverse drug effects. Increased doses of 6MP can lead to therapeutic ANC values; however, patients may experience adverse effects before obtaining therapeutic myelosuppression, often deemed "skewed metabolism." Allopurinol may potentially correct skewed 6MP metabolism. PROCEDURE: Pediatric patients with ALL with 6MMP and 6TGN metabolites drawn during maintenance therapy were analyzed for allopurinol use. The primary outcome evaluated the percentage of time spent in therapeutic ANC range before and after allopurinol initiation. In addition, the difference in 6MMP:6TGN ratios before and after allopurinol initiation, incidence of hepatotoxicity, and rates of relapse, were analyzed. RESULTS: Ninety-five patients were included for analysis. Thirty-two (34%) patients received allopurinol. There were no significant differences in baseline demographics between the patients who received allopurinol and those who did not. When comparing ANC values pre- and post-allopurinol initiation, a statistically significant increase in the percentage of time spent in therapeutic range was observed (27% vs. 43%; p = .03). In addition, when comparing metabolite ratios pre- and post-allopurinol initiation, a statistically significant decrease in 6MMP:6TGN metabolite ratio values was observed (86.7 vs. 3.6; p < .0001). CONCLUSIONS: Allopurinol significantly increased the percent time in therapeutic ANC range and can be safely utilized to significantly lower the ratio of 6MMP:6TGN metabolites, alleviating the undesirable side effects of 6MMP, and optimizing the anti-leukemic effects associated with 6TGN.

Custom silicone Y-stents for the management of anastomotic stenosis in lung transplant recipients.

BACKGROUND: Airway stenting may be needed to manage anastomotic complications in lung transplant recipients. Conventional stenting strategies may be inadequate due to anatomic variations between the recipient and donor or involvement of both the anastomosis and lobar bronchi. METHODS: We investigated the efficacy of 3D-designed patient-specific silicone Y-stents in managing this scenario. 9 patients with complex airway stenosis underwent custom stent insertion after either failing traditional management strategies or having anatomy not suitable for conventional stents. CT images were uploaded to stent design software to make a virtual stent model. 3D printing technology was then used to make a mold for the final silicone stent which was implanted via rigid bronchoscopy. Forced expiratory volume in 1 s (FEV1) was measured pre- and post-stent placement. RESULTS: 78 % of patients experienced an increase in their FEV1 after stent insertion, (p = 0.001, 0.02 at 30 and 90 days respectively). Unplanned bronchoscopies primarily occurred due to mucous plugging. 2 patients had sufficient airway remodeling allowing for stent removal. CONCLUSIONS: Personalized 3D-designed Y-stents demonstrate promising results for managing complicated airway stenosis, offering improved lung function and potential long-term benefits for lung transplant recipients.

Identifying Sources of Entanglement Loss in Photodriven Molecular Electron Spin Teleportation.

We report on an electron donor-electron acceptor-stable radical (D-A-R•) molecule in which an electron spin state first prepared on R• is followed by photogeneration of an entangled singlet 1[D•+-A•-] spin pair to produce D•+-A•--R•. Since the A•- and R• spins within D•+-A•--R• are uncorrelated, spin teleportation from R• to D•+ occurs with a maximal 25% efficiency only for the singlet pair 1(A•--R•) by spin-allowed electron transfer from A•- to R•. However, since 1[D•+-A•-] is sufficiently long-lived, coherent spin mixing involving the unreactive 3(A•--R•) population affects entanglement and teleportation within D•+-A•--R•. Pulse electron paramagnetic resonance experiments show a direct correlation between electron spin flip-flops and entanglement loss, providing information for designing molecular materials to serve as nanoscale quantum device interconnects.

A pre-operative scoring model to estimate the risk of blood transfusion over an ovarian cancer debulking surgery (BLOODS score): a Memorial Sloan Kettering Cancer Center Team Ovary study.

OBJECTIVES: To develop a pre-operative tool to estimate the risk of peri-operative packed red blood cell transfusion in primary debulking surgery. METHODS: We retrospectively reviewed an institutional database to identify patients who underwent primary debulking surgery for ovarian cancer at a single center between January 1, 2001 and May 31, 2019. Receiver operating characteristic curve and area under the receiver operating characteristic curve (AUC) were calculated. Five-fold cross-validation was applied to the multivariate model. Significant variables were assigned a 'BLOODS' (BLood transfusion Over an Ovarian cancer Debulking Surgery) score of +1 if present. A total BLOODS score was calculated for each patient, and the odds of receiving a transfusion was determined for each score. RESULTS: Overall, 1566 patients met eligibility criteria; 800 (51%) underwent a peri-operative blood transfusion. Odds ratios (OR) were statistically significant for American Society of Anesthesiologists scores of 3 and 4 (OR 1.34, 95% confidence interval (95% CI) 1.09 to 1.63), pre-operative levels of cancer antigen 125 (CA125) (OR 2.43, 95% CI 1.98 to 2.99), platelets (OR 1.59, 95% CI 1.45 to 1.74), obesity (OR 0.76, 95% CI 0.60 to 0.96), presence of carcinomatosis (OR 2.45, 95% CI 1.93 to 3.11), bulky upper abdominal disease (OR 2.86, 95% CI 2.32 to 3.54), pre-operative serum albumin level (OR 0.31, 95% CI 0.24 to 0.40), and pre-operative hemoglobin level (OR 0.56, 95% CI 0.51 to 0.61). The corrected AUC was 0.748 (95% CI 0.693 to 0.804). BLOODS scores of 0 and 5 corresponded to 11% and 73% odds, respectively, of receiving a peri-operative blood transfusion. CONCLUSIONS: We developed a universal pre-operative scoring system, the BLOODS score, to help identify patients with ovarian cancer who would benefit from surgical planning and blood-saving techniques. The BLOODS score was directly proportional to the American Society of Anesthesiologists score, presence of upper abdominal disease, carcinomatosis, CA125 level, and platelets level. We believe this model can help physicians with surgical planning and can benefit patient outcomes.

PUPpy: a primer design pipeline for substrain-level microbial detection and absolute quantification.

Characterizing microbial communities at high resolution and with absolute quantification is crucial to unravel the complexity and diversity of microbial ecosystems. This can be achieved with PCR assays, which enable highly selective detection and absolute quantification of microbial DNA. However, a major challenge that has hindered PCR applications in microbiome research is the design of highly specific primer sets that exclusively amplify intended targets. Here, we introduce Phylogenetically Unique Primers in python (PUPpy), a fully automated pipeline to design microbe- and group-specific primers within a given microbial community. PUPpy can be executed from a user-friendly graphical user interface, or two simple terminal commands, and it only requires coding sequence files of the community members as input. PUPpy-designed primers enable the detection of individual microbes and quantification of absolute microbial abundance in defined communities below the strain level. We experimentally evaluated the performance of PUPpy-designed primers using two bacterial communities as benchmarks. Each community comprises 10 members, exhibiting a range of genetic similarities that spanned from different phyla to substrains. PUPpy-designed primers also enable the detection of groups of bacteria in an undefined community, such as the detection of a gut bacterial family in a complex stool microbiota sample. Taxon-specific primers designed with PUPpy showed 100% specificity to their intended targets, without unintended amplification, in each community tested. Lastly, we show the absolute quantification of microbial abundance using PUPpy-designed primers in droplet digital PCR, benchmarked against 16S rRNA and shotgun sequencing. Our data shows that PUPpy-designed microbe-specific primers can be used to quantify substrain-level absolute counts, providing more resolved and accurate quantification in defined communities than short-read 16S rRNA and shotgun sequencing. IMPORTANCE: Profiling microbial communities at high resolution and with absolute quantification is essential to uncover hidden ecological interactions within microbial ecosystems. Nevertheless, achieving resolved and quantitative investigations has been elusive due to methodological limitations in distinguishing and quantifying highly related microbes. Here, we describe Phylogenetically Unique Primers in python (PUPpy), an automated computational pipeline to design taxon-specific primers within defined microbial communities. Taxon-specific primers can be used to selectively detect and quantify individual microbes and larger taxa within a microbial community. PUPpy achieves substrain-level specificity without the need for computationally intensive databases and prioritizes user-friendliness by enabling both terminal and graphical user interface applications. Altogether, PUPpy enables fast, inexpensive, and highly accurate perspectives into microbial ecosystems, supporting the characterization of bacterial communities in both in vitro and complex microbiota settings.

Defining cage subsidence in anterior, oblique, and lateral lumbar spine fusion approaches: a systematic review of the literature.

One of the most common complications of lumbar fusions is cage subsidence, which leads to collapse of disc height and reappearance of the presenting symptomology. However, definitions of cage subsidence are inconsistent, leading to a variety of subsidence calculation methodologies and thresholds. To review previously published literature on cage subsidence in order to present the most common methods for calculating and defining subsidence in the anterior lumbar interbody fusion (ALIF), oblique lateral interbody fusion (OLIF), and lateral lumbar interbody fusion (LLIF) approaches. A search was completed in PubMed and Embase with inclusion criteria focused on identifying any study that provided descriptions of the method, imaging modality, or subsidence threshold used to calculate the presence of cage subsidence. A total of 69 articles were included in the final analysis, of which 18 (26.1%) reported on the ALIF approach, 22 (31.9%) on the OLIF approach, and 31 (44.9%) on the LLIF approach, 2 of which reported on more than one approach. ALIF articles most commonly calculated the loss of disc height over time with a subsidence threshold of > 2 mm. Most OLIF articles calculated the total amount of cage migration into the vertebral bodies, with a threshold of > 2 mm. LLIF was the only approach in which most articles applied the same method for calculation, namely, a grading scale for classifying the loss of disc height over time. We recommend future articles adhere to the most common methodologies presented here to ensure accuracy and generalizability in reporting cage subsidence.

σ-Arsolido complexes.

The σ-stannyl complexes [M(SnnBu3)(CO)n(η5-C5H5)] (n = 3, M = Mo, W; n = 2, M = Fe) serve as mild reagents for the installation of σ-arsolyl ligands in transmetallation reactions with As-chloro-arsoles ClAsC4R4 (R = Me, Ph) to afford [M(σ-AsC4R4)(CO)n(η5-C5H5)]. The reaction of [Cr(SnnBu3)(CO)3(η5-C5H5)] with ClAsC4Ph4 most likely proceeds in a similar manner but is immediately followed by rapid formation of (AsC4Ph4)2 and [Cr2(CO)6(η5-C5H5)2]. The reaction of [Mo(SnnBu3)(CO)3(η5-C5H5)] with ClAsC4(SiMe3)-2,5-Me2-3,4 is accompanied by monodesilylation to afford [Mo{σ-AsC4(SiMe3)-2-Me2-3,4}(CO)3(η5-C5H5)]. The slow reaction of [Fe(SnnBu3)(CO)2(η5-C5H5)] with ClAsC4Me4 produced only traces of [Fe(σ-AsC4Me4)(CO)2(η5-C5H5)] due to competition with the Diels-Alder type dimerisation of the haloarsole. Although attempts to decarbonylate the σ-arsolyl complexes were unsuccessful, computational analysis suggests that the trigonal 'XL' arsolenium coordination mode is viable.

Suffering more in imagination than in reality? Mental imagery and fear generalization.

Mental imagery may represent a weaker form of perception and, thus, mental images may be more ambiguous than visual percepts. If correct, the acquisition of fear would be less specific for imagined fears in comparison to perceptual fears, perhaps facilitating broader fear generalization. To test this idea, a two-day differential fear conditioning experiment (N = 98) was conducted. On day one, two groups of participants underwent differential fear conditioning such that a specific Gabor patch orientation (CS+) was paired with mild shocks (US) while a second Gabor patch of orthogonal orientation (CS-) was never paired with shock. Critically, one group imagined the Gabor patches and the other group was visually presented the Gabor patches. Next, both groups were presented visual Gabor patches of similar orientations (GCS) to the CS+. On day two, to assess the persistence of imagined fear, participants returned to the lab and were tested on the GCS devoid of shock. For day one, in contrast to our primary hypothesis, both self-report and skin conductance response measures did not show a significant interaction between the GCS and groups. On day two, both measures demonstrated a persistence of imagined fear, without US delivery. Taken together, rather than demonstrating an overgeneralization effect, the results from this study suggest that imagery-based fear conditioning generalizes to a similar extent as perceptually acquired fear conditioning. Further, the persistence of imagery-based fear may have unique extinction qualities in comparison to perceptual-based fear.

Artificial Intelligence in Military Medicine.

Artificial intelligence (AI) has garnered significant attention for its pivotal role in the national security and health care sectors. However, its utilization in military medicine remains relatively unexplored despite its immense potential. AI operates through evolving algorithms that process extensive datasets, continuously improving accuracy and emulating human learning processes. Generative AI, a type of machine learning, uses algorithms to generate new content, such as images, text, videos, audio, and computer code. These models employ deep learning to encode simplified representations of training data and generate new work resembling the original without being identical. Although many AI applications in military medicine are theoretical, the U.S. Military has implemented several initiatives, often without widespread awareness among its personnel. This article aims to shed light on two resilience initiatives spearheaded by the Joint Artificial Intelligence Center, which is now the Chief Digital and Artificial Intelligence Office. These initiatives aim to enhance commanders' dashboards for predicting troop behaviors and develop models to forecast troop suicidality. Additionally, it outlines 5 key AI applications within military medicine, including (1) clinical efficiency and routine decision-making support, (2) triage and clinical care algorithms for large-scale combat operations, (3) patient and resource movements in the medical common operating picture, (4) health monitoring and biosurveillance, and (5) medical product development. Even with its promising potential, AI brings forth inherent risks and limitations that require careful consideration and discussion. The article also advocates for a forward-thinking approach for the U.S. Military to effectively leverage AI in advancing military health and overall operational readiness.

Depression, loneliness, and lower social activity as partial mediators of the association between visual impairment and cognitive decline.

OBJECTIVES: Sensory impairment is a hypothesized risk factor for cognitive decline; however, the psychosocial pathways are not well understood. We evaluated whether the association between visual impairment (VI) and cognitive decline was partially mediated via depressive symptoms, loneliness, or social activity. METHODS: We used data from 2601 older adults enrolled in the Memory and Aging Project in 1997 and the Minority Aging Research Study in 2004 with neuropsychological tests across five domains measured annually for up to 16 years. VI was assessed with the Rosenbaum Pocket Vision Screener. Depressive symptoms, loneliness, and social activity were self-reported using validated scales. We used structural equation models to estimate the associations of VI with baseline and change in cognitive function, directly and indirectly through each mediator (depressive symptoms, loneliness, and social activity). We evaluated mediation via "psychological distress" using a latent variable combining depressive symptoms and loneliness. RESULTS: The association between VI and global cognitive decline was mediated via lower social activity (indirect effect) [95% confidence interval (CI)] of linear slope: -0.025 (-0.048, -0.011), via loneliness (-0.011 [95% CI: -0.028, -0.002]), and via psychological distress (-0.017 [95% CI: -0.042, -0.003]). We did not find sufficient evidence for mediation via depressive symptoms alone. CONCLUSIONS: The harmful effect of VI on cognitive decline may be partially mediated through loneliness and lower social activity.

Advancing environmental biotechnology with microbial community modeling rooted in functional 'omics.

Emerging biotechnologies that solve pressing environmental and climate emergencies will require harnessing the vast functional diversity of the underlying microbiomes driving such engineered processes. Modeling is a critical aspect of process engineering that informs system design as well as aids diagnostic optimization of performance. 'Conventional' bioprocess models assume homogenous biomass within functional guilds and thus fail to predict emergent properties of diverse microbial physiologies, such as product specificity and community interactions. Yet, recent advances in functional 'omics-based approaches can provide a 'lens' through which we can probe and measure in situ ecophysiologies of environmental microbiomes. Here, we overview microbial community modeling approaches that incorporate functional 'omics data, which we posit can advance our ability to design and control new environmental biotechnologies going forward.

Gα13 restricts nutrient driven proliferation in mucosal germinal centers.

Germinal centers (GCs) that form in mucosal sites are exposed to gut-derived factors that have the potential to influence homeostasis independent of antigen receptor-driven selective processes. The G-protein Gα13 confines B cells to the GC and limits the development of GC-derived lymphoma. We discovered that Gα13-deficiency fuels the GC reaction via increased mTORC1 signaling and Myc protein expression specifically in the mesenteric lymph node (mLN). The competitive advantage of Gα13-deficient GC B cells (GCBs) in mLN was not dependent on T cell help or gut microbiota. Instead, Gα13-deficient GCBs were selectively dependent on dietary nutrients likely due to greater access to gut lymphatics. Specifically, we found that diet-derived glutamine supported proliferation and Myc expression in Gα13-deficient GCBs in the mLN. Thus, GC confinement limits the effects of dietary glutamine on GC dynamics in mucosal tissues. Gα13 pathway mutations coopt these processes to promote the gut tropism of aggressive lymphoma.

Amygdala Volume and Depression Symptoms in Young Adolescents Who Use Cannabis.

INTRODUCTION: Both cannabis use and depressive symptomology increase in prevalence throughout adolescence. Concurrently, the brain is undergoing neurodevelopment in important limbic regions, such as the amygdala. Prior research indicates the amygdala may also be related to cannabis use and depressive symptoms. We aimed to investigate the effects of adolescent cannabis use on amygdala volumes as well as the interaction of cannabis use and amygdala morphometry on depressive symptoms in youth. METHOD: Two-hundred-twenty-four participants (ages 12-15), balanced by sex assigned at birth, were selected from a sub-sample of the Adolescent Brain Cognitive Development (ABCD) Study based on hair toxicology and self-report measures of cannabis use. Participants positive for cannabinoids in hair and/or self-reported cannabis use were demographically matched to youth with no self-reported or confirmed cannabis use. The guardians of these youth reported depression symptoms on the Child Behavioral Checklist. Linear mixed effect models were run investigating cannabis use group on amygdala volumes bilaterally, controlling for whole brain volume and random effects of scanner type. Additional analyses examined cannabis group status and bilateral amygdala volume on depression symptoms. RESULTS: Cannabis use was not significantly associated with amygdala volume but was associated with increased depressive symptoms (p<0.01). Cannabis group interacted with amygdala volume, such that individuals with smaller volumes had increased depressive symptoms within the cannabis group (p's<0.01-0.02). CONCLUSION: Aberrations in amygdala volume based on cannabis use were not found in early adolescence; however, more depressive symptoms were related to cannabis group. Youth who use cannabis and have smaller amygdala volumes were at increased risk for depressive symptomology, suggesting potential neurovulnerabilities to cannabis use.