Roles of microbiota in autoimmunity in Arabidopsis leaves.

Over the past three decades, researchers have isolated plant mutants that show constitutively activated defence responses in the absence of pathogen infection. These mutants are called autoimmune mutants and are typically dwarf and/or bearing chlorotic/necrotic lesions. Here, from a genetic screen for Arabidopsis genes involved in maintaining a normal leaf microbiota, we identified TIP GROWTH DEFECTIVE 1 (TIP1), which encodes an S-acyltransferase, as a key player in guarding leaves against abnormal microbiota level and composition under high-humidity conditions. The tip1 mutant has several characteristic phenotypes of classical autoimmune mutants, including a dwarf stature, showing lesions, and having a high basal level of defence gene expression. Gnotobiotic experiments revealed that the autoimmune phenotypes of the tip1 mutant are largely dependent on the presence of microbiota as axenic tip1 plants have markedly reduced autoimmune phenotypes. We found that the microbiota dependency of autoimmune phenotypes is shared by several 'lesion mimic'-type autoimmune mutants in Arabidopsis. It is worth noting that autoimmune phenotypes caused by mutations in two Nucleotide-Binding, Leucine-Rich Repeat (NLR) genes do not require the presence of microbiota and can even be partially alleviated by microbiota. Our results therefore suggest the existence of at least two classes of autoimmunity (microbiota-dependent versus microbiota-independent) in plants. The observed interplay between autoimmunity and microbiota in the lesion mimic class of autoimmunity is reminiscent of the interactions between autoimmunity and dysbiosis in the animal kingdom. These parallels highlight the intricate relationship between host immunity and microbial communities across various biological systems.

ß-hydroxybutyrate recapitulates the beneficial effects of ketogenic metabolic therapy in polycystic kidney disease.

Autosomal-dominant polycystic kidney disease (ADPKD) is a common monogenic disease characterized by the formation of fluid-filled renal cysts, loss of mitochondrial function, decreased fatty acid oxidation, increased glycolysis, and likely renal failure. We previously demonstrated that inducing a state of ketosis ameliorates or reverses PKD progression in multiple animal models. In this study, we compare time-restricted feeding and 48-h periodic fasting regimens in both juvenile and adult Cy/+ rats. Both fasting regimens potently prevent juvenile disease progression and partially reverse PKD in adults. To explore the mechanism of fasting, we administered ß-hydroxybutyrate (BHB) to Cy/+ rats and orthologous mouse models of PKD (Pkd1 RC/RC , Pkd1-Ksp:Cre). BHB recapitulated the effects of fasting in these models independent of stereoisomer, suggesting the effects of BHB are largely due to its signaling functions. These findings implicate the use of ketogenic metabolic therapy and BHB supplementation as potential disease modifiers of PKD and point toward underlying mechanisms.

A Statewide Examination of Medical Cannabis Purchasing Patterns in Arkansas Over the Three Years Immediately Following Legalization.

Introduction: The use of medical cannabis (MC) to treat a host of conditions has expanded considerably in the United States; however, precise quantitative assessments of purchasing characteristics are unknown. This study sought to characterize the trends in MC purchases, US dollars spent, and type and amount purchased by demographic and clinical characteristics. Materials and Methods: This descriptive exploratory association study examined statewide MC registry data in Arkansas linked at the person level with statewide transaction data documenting each MC purchase. MC transaction data (May 11, 2019-August 31, 2022) were assessed to identify persons who could be linked to the registry data and made at least one purchase. Individual demographic characteristics and MC qualifying conditions (QCs) were ascertained. Product types were classified into plant cannabis, cannabis extract for inhalation (vape), edibles, and others. The average daily total delta-9-tetrahydrocannabinol (THC) purchased was calculated based on the concentration and quantity purchased. Purchasing characteristics are described and demographic and clinical factors associated with THC purchased per day and dollars spent per year were estimated by ordinary least square regression and general linear models with a gamma distribution. Results: On average, 89,057 MC purchasers spent $3343 (interquartile range [IQR], $907-$4802), had 33.34 (IQR, 8.32-46.03) transaction days per year, and purchased 162.32 mg (IQR, 30.51-237.69) of THC per day. Most persons predominantly purchased plant cannabis (68.27%), followed by edibles (14.92%) and vape (11.96%). Individuals younger than 18 years of age (ß=-78.23; 95% confidence interval [CI], -116.599 to -39.863), persons 70 and older (ß = -122.30; 95% CI, -128.18 to -116.422), and women (ß=-33.70; 95% CI, -35.95 to -31.446) purchased less THC per day than their counterparts after multivariate adjustment. The most common QCs were pain and post-traumatic stress disorder (PTSD), and compared to those with cancer, persons with pain (ß = 26.30; 95% CI, 18.636-33.96) and PTSD (ß = 38.34; 95% CI, 30.467-46.222) purchased more THC per day. Conclusion: The average THC purchased per person per day exceeds typically recommended daily doses for therapeutic uses, and further research is warranted to assess the safety and benefits of MC across these conditions.

Effectiveness of pharmacological interventions for managing obesity in children and adolescents: A systematic review and meta-analysis framed using minimal important difference estimates based on GRADE guidance to inform a clinical practice guideline.

OBJECTIVE: To summarize the literature on pharmacotherapy for managing paediatric obesity. METHODS: A systematic review and meta-analysis were conducted of randomized controlled trials (RCTs) with <18-year-olds of pharmacotherapeutic agents published up to November 2022. Estimates of effect for outcomes were presented relative to minimal important differences and GRADE certainty of evidence. We examined data on patient/proxy-reported outcome measures (PROMs), cardiometabolic risk factors, anthropometry and adverse events (AEs). RESULTS: Overall, 35 RCTs were included. Trials examined metformin (n = 26), glucagon-like peptide-1 receptor agonists (GLP1RAs) (n = 7) and a lipase inhibitor (orlistat; n = 2). Intervention duration varied (3-24 months). Metformin had little to no benefit on PROMs (e.g., health-related quality of life [HRQoL]; 6 RCTs), moderate reductions in triglycerides, a moderate decline in insulin resistance, a small to moderate decline in BMI z-score (BMIz) and a moderate increase in mild to moderate gastrointestinal AEs. Response to GLP1RAs was heterogeneous and results of subgroup analysis demonstrated variability of impact. Liraglutide (2 RCTs) resulted in a small reduction in HOMA-IR and BMIz, but little to no benefit on other outcomes. Exenatide (4 RCTs) had a moderate reduction on blood pressure and a small decrease in BMIz with little to no benefit on other outcomes. Semaglutide (1 RCT) had a small benefit on HRQoL, a small reduction on SBP, a moderate reduction on total cholesterol and LDL-cholesterol, a large reduction on triglyceride, and a very large decline in BMIz accompanied by a small increase in mild to moderate gastrointestinal AEs. Orlistat had a moderate reduction in DBP and little to no benefit in other outcomes measured, but had a very large increased risk of mild to moderate gastrointestinal AEs. Serious AEs were rare and for interventions with sufficent AE reporting, were considered not likely attributable to the interventions. CONCLUSION: Few studies examined the impact of pharmacotherapy on PROMs. There is evidence that metformin and GLP1RAs lead to important improvements in cardiometabolic and anthropometric outcomes while accompanied by mild to moderate AEs. Long-term effectiveness and safety of GLP1RAs remain to be evaluated.

Immune checkpoint inhibitors as subsequent treatment in older adults with non-small cell lung cancer and synchronous brain metastases.

Background: Immune checkpoint inhibitors (ICIs) have become the mainstay treatment for non-small cell lung cancer (NSCLC). However, there is a lack of studies assessing ICIs as subsequent treatment in older adults with NSCLC and brain metastasis (BM). This retrospective cohort study compared the real-world survival of older patients with NSCLC and BM at diagnosis [synchronous BM (SBM)] previously treated with chemotherapy receiving ICI versus chemotherapy as subsequent treatment. Methods: Patients with NSCLC and SBM ≥65 years previously treated with chemotherapy were identified using the SEER-Medicare database (2010-2019). Patients receiving new chemotherapy and/or Food and Drug Administration (FDA)-approved ICIs as second/third-line treatment were included, excluding those ever-receiving targeted therapies. Each ICI patient was matched to one chemotherapy patient by time to subsequent treatment (within ±30 days) from diagnosis. Overall survival (OS) time was measured from the start of subsequent treatment to death, censored at disenrollment from Medicare Part A/B, enrollment in Part C, or end of study (December 31, 2019), whichever came first. OS curves were estimated and compared using the Kaplan-Meier (KM) method and log-rank test. Hazard ratio (HR) was estimated using a multivariable-adjusted Cox proportional hazards model. Results: Matched cohorts included 546 patients [273 in each group; median age 71 (range, 65-87) years]. ICI patients were older, more likely non-Hispanic, with squamous cell carcinoma, and liver metastasis compared to chemotherapy. KM estimated better survival in ICI than chemotherapy {median survival: 209 days [95% confidence interval (CI): 160-275] vs. 155 days (95% CI: 135-187); log-rank P<0.001}. ICI was associated with a lower adjusted hazard of death [HR =0.63; 95% CI: 0.52-0.75; P<0.001] compared to subsequent chemotherapy treatment. Conclusions: In this population-based study of older patients with NSCLC and SBM previously treated with chemotherapy, subsequent treatment with ICI was associated with improved survival compared to chemotherapy.

What are the 100 most cited fungal genera?

The global diversity of fungi has been estimated between 2 to 11 million species, of which only about 155 000 have been named. Most fungi are invisible to the unaided eye, but they represent a major component of biodiversity on our planet, and play essential ecological roles, supporting life as we know it. Although approximately 20 000 fungal genera are presently recognised, the ecology of most remains undetermined. Despite all this diversity, the mycological community actively researches some fungal genera more commonly than others. This poses an interesting question: why have some fungal genera impacted mycology and related fields more than others? To address this issue, we conducted a bibliometric analysis to identify the top 100 most cited fungal genera. A thorough database search of the Web of Science, Google Scholar, and PubMed was performed to establish which genera are most cited. The most cited 10 genera are Saccharomyces, Candida, Aspergillus, Fusarium, Penicillium, Trichoderma, Botrytis, Pichia, Cryptococcus and Alternaria. Case studies are presented for the 100 most cited genera with general background, notes on their ecology and economic significance and important research advances. This paper provides a historic overview of scientific research of these genera and the prospect for further research. Citation: Bhunjun CS, Chen YJ, Phukhamsakda C, Boekhout T, Groenewald JZ, McKenzie EHC, Francisco EC, Frisvad JC, Groenewald M, Hurdeal VG, Luangsa-ard J, Perrone G, Visagie CM, Bai FY, Blaszkowski J, Braun U, de Souza FA, de Queiroz MB, Dutta AK, Gonkhom D, Goto BT, Guarnaccia V, Hagen F, Houbraken J, Lachance MA, Li JJ, Luo KY, Magurno F, Mongkolsamrit S, Robert V, Roy N, Tibpromma S, Wanasinghe DN, Wang DQ, Wei DP, Zhao CL, Aiphuk W, Ajayi-Oyetunde O, Arantes TD, Araujo JC, Begerow D, Bakhshi M, Barbosa RN, Behrens FH, Bensch K, Bezerra JDP, Bilanski P, Bradley CA, Bubner B, Burgess TI, Buyck B, Cadez N, Cai L, Calaça FJS, Campbell LJ, Chaverri P, Chen YY, Chethana KWT, Coetzee B, Costa MM, Chen Q, Custódio FA, Dai YC, Damm U, de Azevedo Santiago ALCM, De Miccolis Angelini RM, Dijksterhuis J, Dissanayake AJ, Doilom M, Dong W, Alvarez-Duarte E, Fischer M, Gajanayake AJ, Gené J, Gomdola D, Gomes AAM, Hausner G, He MQ, Hou L, Iturrieta-González I, Jami F, Jankowiak R, Jayawardena RS, Kandemir H, Kiss L, Kobmoo N, Kowalski T, Landi L, Lin CG, Liu JK, Liu XB, Loizides M, Luangharn T, Maharachchikumbura SSN, Makhathini Mkhwanazi GJ, Manawasinghe IS, Marin-Felix Y, McTaggart AR, Moreau PA, Morozova OV, Mostert L, Osiewacz HD, Pem D, Phookamsak R, Pollastro S, Pordel A, Poyntner C, Phillips AJL, Phonemany M, Promputtha I, Rathnayaka AR, Rodrigues AM, Romanazzi G, Rothmann L, Salgado-Salazar C, Sandoval-Denis M, Saupe SJ, Scholler M, Scott P, Shivas RG, Silar P, Souza-Motta CM, Silva-Filho AGS, Spies CFJ, Stchigel AM, Sterflinger K, Summerbell RC, Svetasheva TY, Takamatsu S, Theelen B, Theodoro RC, Thines M, Thongklang N, Torres R, Turchetti B, van den Brule T, Wang XW, Wartchow F, Welti S, Wijesinghe SN, Wu F, Xu R, Yang ZL, Yilmaz N, Yurkov A, Zhao L, Zhao RL, Zhou N, Hyde KD, Crous PW (2024). What are the 100 most cited fungal genera? Studies in Mycology 108: 1-411. doi: 10.3114/sim.2024.108.01.

Comparison of short- and mid-term outcomes in patients following ream-and-run and anatomic total shoulder arthroplasties.

BACKGROUND: Anatomic total shoulder arthroplasty (aTSA) may not be an ideal treatment option for young and active patients due to potential activity restriction and concerns about glenoid loosening. The Ream-and-run (RnR) allows for the continuance of high-level activity without concerns of a glenoid component failure. Initial RnR publications are promising though more outcomes studies are needed. Therefore, our primary purpose was to compare outcomes at multiple timepoints between matched aTSA and RnR cohorts. Secondarily, we sought to examine relationships between patient-reported outcomes and preoperative glenoid pathoanatomy in our RnR cohort. Lastly, we examined postoperative radiographs to determine if the RnR successfully corrected glenoid pathoanatomy and humeral head decentering. METHODS: We performed a retrospective matched-cohort study comparing patients who underwent a RnR versus patients who underwent the aTSA procedure between 2017-2019. All patients had primary diagnoses of shoulder osteoarthritis and a minimum of 2-year follow-up. Simple Shoulder Test, American Shoulder and Elbow Surgeons (ASES), and daily and worst pain outcomes were compared between groups at 3- and 6-months, and 1- and 2-years post-arthroplasty. Pre- and Postoperative glenoid anatomy and humeral decentering were measured radiographically, and correlation analyses were conducted to explore relationships between these factors and 2-year pain and function scores. RESULTS: Forty-six shoulders (23 RnR/ 23aTSA) belonging to 43 male patients with an average age of 56.2±8.3 were included. Eighteen matched pairs were available at 3- and 6- months, 21 matched pairs at 1 year, and all 23 matched pairs at the 2-year timepoint. RnR patients reported significantly higher daily pain ratings (P = .047) and lower ASES scores (P = .031) compared to the aTSA group 3 months after arthroplasty but reported similar outcomes at 6 months and beyond. Preoperative pathoantatomy outcomes were not directly related to final reported pain or function in RnR group. Additionally, the RnR was able to correct posterior humeral head decentering in our cohort. CONCLUSIONS: Young male patients undergoing RnR can likely expect similar short-term results as young male patients who undergo aTSA. Additionally, the RnR outcomes were not affected by preoperative glenoid wear or humeral head decentering. Our findings support the RnR as a viable surgical alternative for young, active patients with shoulder arthritis.

Agreement and Consistency of Absolute and Relative Corticospinal Stimulus-Response Curves for Upper, Lower, and Axial Musculature in Healthy Adults.

PURPOSE: To assess the agreement and consistency of absolute and relative stimulus-response curve (SRC) parameter estimates for upper extremity, lower extremity, and axial muscles. METHODS: Thirty (15 W, age: 27.0 ± 6.3 y, height: 171.9 ± 8.9 cm, weight: 80.2 ± 19.3 kg) healthy adults completed absolute (5% to 100% stimulator output) and relative (65% to 160% motor threshold) SRCs of the first dorsal interosseous, vastus lateralis, and rectus abdominis during submaximal isometric contractions. Mean motor-evoked potential amplitudes were fit with nonlinear regression to derive MEPmax, V50, and slope. Absolute agreement and consistency were assessed with ICCs, Cronbachs alphas, and Bland-Altman plots. Independent t-tests were used to examine differences in motor threshold, physical activity, strength, and muscle activity among participants with valid and invalid SRC parameters. RESULTS: Absolute and relative SRCs displayed good agreement and consistency for MEPmax and V50 but not slope. Motor thresholds were lower among participants with valid absolute SRCs for the rectus abdominis and vastus lateralis. Motor threshold, physical activity, strength, and muscle activity did not differ among those with valid and invalid parameters for all relative SRCs and absolute SRCs for the first dorsal interosseous. CONCLUSIONS: Absolute and relative SRCs produce similar MEPmax and V50 estimates in the first dorsal interosseous, vastus lateralis, and rectus abdominis. The validity of absolute and relative SRC results may differ depending on individual characteristics and tested muscles.

The Dimensions of dimensionality.

Cognitive scientists often infer multidimensional representations from data. Whether the data involve text, neuroimaging, neural networks, or human judgments, researchers frequently infer and analyze latent representational spaces (i.e., embeddings). However, the properties of a latent representation (e.g., prediction performance, interpretability, compactness) depend on the inference procedure, which can vary widely across endeavors. For example, dimensions are not always globally interpretable and the dimensionality of different embeddings may not be readily comparable. Moreover, the dichotomy between multidimensional spaces and purportedly richer representational formats, such as graph representations, is misleading. We review what the different notions of dimension in cognitive science imply for how these latent representations should be used and interpreted.

The Physiological Consequences of and Recovery following the Australian Special Forces Selection Course.

This study aimed to determine the energy requirements, physiological consequences, and recovery rate from the Australian Special Forces Selection Course. Ninety-three male soldiers (mean ± SD, 28.1 ± 3.6 y, 1.81 ± 0.1 m, 85.1 ± 8.1 kg) volunteered for this study. Body composition via dual-energy x-ray absorptiometry, hormones and resting metabolic rate were assessed before, immediately after, and at one, three, five, and eight weeks post-course. Energy expenditure, assessed via doubly-labelled water during the first 10 days of the course significantly exceeded energy intake (expenditure: 7680 ± 1095 kcal.d-1, intake: 3859 ± 704 kcal.d-1). Body mass (△ -6.8 ± 1.9 kg, p<0.01), fat mass (△ -4.2 ± 1.0 kg, p<0.0001) and lean mass (△ -3.0 ± 1.7 kg, p<0.0001) were significantly reduced in response to the course and returned to baseline 1-3 weeks post-course. Total testosterone, free testosterone, free triiodothyronine, free thyroxine and insulin like growth factor-1 significantly (p<0.001) declined following the course, while cortisol and sex hormone binding globulin increased (p<0.001). All hormones, except insulin like growth factor-1, returned to baseline concentrations within 1-3 weeks post-course. Resting metabolic rate decreased (p<0.01) in response to the course, and subsequently rebounded above baseline levels at one week post-course. The Special Forces Selection Course involved high energy output and a substantial caloric deficit, resulting in body mass loss and significant hormonal disruption that took weeks to recover. These results highlight the energy requirements, physiological consequences, and recovery processes from the Australian Special Forces Selection Course.

Evaluation of American Urological Association Renal Cell Carcinoma Risk Groups for Chromophobe Renal Cell Carcinoma.

OBJECTIVE: To develop and compare various models for risk stratification in chromophobe renal cell carcinoma (chrRCC). Models have been developed to predict progression-free (PFS) and cancer-specific survival (CSS) following surgery for localized renal cell carcinoma (RCC). Notably, chromophobe RCC (chrRCC) is not included in American Urological Association (AUA) risk stratification, as nuclear grading is not recommended. METHODS: We queried our institutional registry to identify patients managed surgically for unilateral, sporadic, M0, chrRCC from 1970-2012. AUA risk groups were defined using reported criteria, excluding grade, and were compared to the Mayo system incorporating nodal involvement, perinephric/renal sinus fat invasion, and sarcomatoid differentiation. PFS and CSS were estimated using the Kaplan-Meier method. Predictive ability was summarized using c-indexes from Cox proportional hazard regression models. RESULTS: A total of 257 patients were identified. Thirty-nine patients experienced disease progression at a median 30 months (IQR 5.0-84) and 25 died from chrRCC at a median 34 months (IQR 15-79) following surgery. PFS and CSS rates at 10 years after surgery were 84% and 90%, respectively. C-indexes for modified AUA and Mayo risk groups were similar at 0.76 and 0.75, respectively, for PFS, and 0.77 and 0.76, respectively for CSS. CONCLUSION: The modified AUA and Mayo risk stratification systems have similarly robust c-indexes for PFS and CSS in chrRCC. These models can be used to counsel patients based on pathologic features, inform clinicians on appropriate follow-up pathways, and identify patients at risk of disease progression for enrollment in adjuvant systemic therapy trials.

Inflammatory and Oxidant Responses to Arduous Military Training: Associations with Stress, Sleep, and Performance.

BACKGROUND: Arduous military training frequently consists of prolonged physical activity, sleep disturbance, and stress that increases musculoskeletal injury risk and performance decrements. Inflammatory and oxidative stress responses have been reported in response to arduous training, but with inconsistencies across markers and with under-representation of women. The purpose of the current report was to measure circulating inflammation and oxidative stress responses to military training and to correlate biomarkers with subjective measures of stress and sleep quality as well as military fitness test performance. METHODS: Candidates undergoing the 10-week Marine Corps Officer Candidate School (OCS; 101 men; 62 women) were monitored, with demographic and questionnaire data collected, and blood drawn before and after OCS. Blood was analyzed for six markers of inflammation and three markers of oxidative stress. Associations between biomarkers and questionnaire and fitness test performance were tested. RESULTS: All measured inflammatory markers as well as plasma antioxidant capacity were elevated following OCS. The inflammatory increase was higher in women for several markers. Sleep disturbance and stress perception were associated with IL-6, IL-10 and CRP concentrations, suggesting that low sleep disturbance and stress perception were associated with low inflammatory load. Additionally, those with the highest inflammation at each time point performed worse on fitness tests than those with low inflammation. CONCLUSIONS: Following arduous military training, the circulating environment in a significant portion of officer candidates resembled chronic low-grade inflammation. This circulating inflammatory environment appeared worse with poor sleep, high stress perception, and poor fitness test performance, with utility observed for CRP, IL-6, and IL-10 as biomarkers of these responses. Since inflammation may contribute to musculoskeletal injury and performance decrements, minimizing chronic inflammation during military training should be explored.

Micronutrient Status During Military Training and Associations With Musculoskeletal Health, Injury, and Readiness Outcomes.

OBJECTIVE: Micronutrient status, specifically vitamin D and iron, represent modifiable factors for optimizing military readiness. The primary purpose of this investigation was to determine associations between micronutrient deficiency (i.e., iron status and 25-hydroxy-vitamin D [25(OH)D]) and operationally relevant outcomes (i.e., skeletal health, musculoskeletal injury) at baseline and post-10 weeks of arduous military training. METHODS: A total of 227 (177 men, 50 women) Marine Officer Candidates School (OCS) candidates who completed OCS training with complete data sets were included in this analysis. Vitamin D and iron status indicators were collected at two timepoints, pre (baseline) and post OCS. Musculoskeletal outcomes at the mid- and proximal tibial diaphysis were assessed via peripheral quantitative computed tomography. RESULTS: Micronutrient status declined following OCS training in men and women and was associated with musculoskeletal outcomes including greater bone strength (strength strain index) at the mid-diaphysis site in those with optimal status (M = 38.26 mm3, SE = 15.59) versus those without (M = -8.03 mm3, SE = 17.27). In women (p = .037), endosteal circumference was greater in the deficient group (M = 53.26 mm, SE = 1.19) compared with the optimal group (M = 49.47 mm, SE = 1.31) at the proximal diaphysis. In men, greater baseline hepcidin concentrations were associated with an increased likelihood of suffering musculoskeletal injury during training. CONCLUSIONS: Vitamin D and iron status declined over the course of training, suggesting impaired micronutrient status. Differences in musculoskeletal outcomes by micronutrient group suggests optimal vitamin D and ferritin concentrations may exert beneficial effects on bone fatigability and fracture reduction during military training.

Load increases IMU signal attenuation per step but reduces IMU signal attenuation per kilometre.

BACKGROUND: Despite deleterious biomechanics associated with injury, particularly as it pertains to load carriage, there is limited research on the association between physical demands and variables captured with wearable sensors. While inertial measurement units (IMUs) can be used as surrogate measures of ground reaction force (GRF) variables, it is unclear if these data are sensitive to military-specific task demands. RESEARCH QUESTION: Can wearable sensors characterise physical load and demands placed on individuals in different load, speed and grade conditions? METHODS: Data were collected on 20 individuals who were self-reportedly free from current injury, recreationally active, and capable of donning 23 kg in the form of a weighted vest. Each participant walked and ran on flat, uphill (+6 %) and downhill (-6 %) without and with load (23 kg). Data were collected synchronously from optical motion capture (OMC) and IMUs placed on the distal limb and the pelvis. Data from an 8-second window was used to generate a participant-based mean of OMC and IMU variables of interest. Repeated Measures ANOVA was used to measure main and interaction effects of load, speed, and grade. Simple linear regression was used to elucidate a relationship between OMC measures and estimated metabolic cost (EMC) to IMU measures. RESULTS: Load reduces foot and pelvic accelerations (p<0.001) but elevate signal attenuation per step (p=0.044). Conversely, attenuation per kilometre is lowered with the addition of load (p=0.017). Uphill had the lowest attenuation per step (p=0.003) and kilometre (p≤0.033) in walking, while downhill had the greatest attenuation per step (p≤0.002) and per kilometre (p≤0.004). Attenuation measures are inconsistently moderately related to limb negative work (R≤0.57). EMC is moderately positively related to unloaded running (R≥0.39), and moderately negatively related to walking with and without load (R≤-0.52). SIGNIFICANCE: While load reduces peak accelerations at both the pelvis and foot. However, it may increase demand on the lower extremity to attenuate the signal between the two sensors with each step, while attenuation over time reduces with load.

PD-L1 and nectin-4 expression and genomic characterization of bladder cancer with divergent differentiation.

BACKGROUND: Bladder cancer with divergent differentiation (BCDD) comprises a heterogenous group of tumors with a poor prognosis, and differential expression of nectin-4 and programmed death ligand-1 (PD-L1) has been reported in BCDD. Importantly, nectin-4 expression in bladder cancer is associated with response to enfortumab vedotin, and PD-L1 expression is associated with responses to immune checkpoint inhibitors (ICIs). METHODS: The authors conducted a retrospective review identifying 117 patients with advanced or metastatic BCDD who were treated at Winship Cancer Institute from 2011 to 2021. They performed immunohistochemistry staining for nectin-4 and PD-L1 expression by histologic subtype as well as genomic analysis of these patients, including RNA sequencing, whole-exome sequencing, and fusion detection analysis as well as a subgroup genomic analysis of patients with BCDD who received ICIs. RESULTS: The results indicated that nectin-4 expression was highest in the groups who had the squamous and plasmacytoid subtypes, whereas the group that had the sarcomatoid subtype (70.8%) had the highest proportion of PD-L1-positive patients. Genomic analysis yielded several key findings, including a 50% RB1 mutation rate in patients who had small cell BCDD, targetable PIK3CA mutations across multiple subtypes of BCDD, and significantly higher expression of TEC in responders to ICIs. CONCLUSIONS: In this study, the authors identified clinically relevant data on nectin-4 and PD-L1 expression in patients with rare bladder tumors. They also identified several novel findings in the genomic analysis that highlight the role of precision medicine in this population of patients. Larger, prospective studies are needed to validate these hypothesis-generating data.

Multiplexed Native Mass Spectrometry Determination of Ligand Selectivity for Fatty Acid-Binding Proteins.

Although multiple approaches for characterizing protein-ligand interactions are available in target-based drug discovery, their throughput for determining selectivity is quite limited. Herein, we describe the application of native mass spectrometry for rapid, multiplexed screening of the selectivity of eight small-molecule ligands for five fatty acid-binding protein isoforms. Using high-resolution mass spectrometry, we were able to identify and quantify up to 20 different protein species in a single spectrum. We show that selectivity profiles generated by native mass spectrometry are in good agreement with those of traditional solution-phase techniques such as isothermal titration calorimetry and fluorescence polarization. Furthermore, we propose strategies for effective investigation of selectivity by native mass spectrometry, thus highlighting the potential of this technique to be used as an orthogonal method to traditional biophysical approaches for rapid, multiplexed screening of protein-ligand complexes.

Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.

Medical researchers are increasingly utilizing advanced LLMs like ChatGPT-4 and Gemini to enhance diagnostic processes in the medical field. This research focuses on their ability to comprehend and apply complex medical classification systems for breast conditions, which can significantly aid plastic surgeons in making informed decisions for diagnosis and treatment, ultimately leading to improved patient outcomes. Fifty clinical scenarios were created to evaluate the classification accuracy of each LLM across five established breast-related classification systems. Scores from 0 to 2 were assigned to LLM responses to denote incorrect, partially correct, or completely correct classifications. Descriptive statistics were employed to compare the performances of ChatGPT-4 and Gemini. Gemini exhibited superior overall performance, achieving 98% accuracy compared to ChatGPT-4's 71%. While both models performed well in the Baker classification for capsular contracture and UTSW classification for gynecomastia, Gemini consistently outperformed ChatGPT-4 in other systems, such as the Fischer Grade Classification for gender-affirming mastectomy, Kajava Classification for ectopic breast tissue, and Regnault Classification for breast ptosis. With further development, integrating LLMs into plastic surgery practice will likely enhance diagnostic support and decision making.

Average Daily Dose Trajectories for Episodes of Buprenorphine Treatment for Opioid Use Disorder.

BACKGROUND: High-dose (≥24 mg) buprenorphine daily doses (BDD) may be important in treating patients with opioid use disorder (OUD) to improve retention and prevent overdose, particularly in the context of increased illicit fentanyl use. This study sought to: (1) identify trajectories for average BDD among patients initiating buprenorphine treatment for OUD and (2) assess patient characteristics associated with these identified trajectories. METHODS: Buprenorphine treatment episodes among patients in the US Veterans Healthcare Administration (VHA) from federal fiscal years 2006 to 2020 were identified. Group-based trajectory modeling (GBTM) was used to identify BDD trajectories based on weekly averages of BDD over the 180 days after buprenorphine episode initiation. RESULTS: A total of 79 303 buprenorphine treatment episodes among 44 583 patients were included in the analytic sample. GBTM identified 9 latent trajectories for BDD: (1) moderate dose, early discontinuation (10.1%), (2) moderate dose, delayed discontinuation (4.5%), (3) moderate dose, moderate-paced discontinuation (5.2%), (4) low-moderate dose, delayed discontinuation (7.0%), and (5) low-moderate dose, early discontinuation (21.1%), (6) low dose retention (9.6%), (7) low-moderate dose retention (16.7%), (8) moderate dose retention (18.6%), and (9) high dose retention (7.4%). Patient BDD can broadly be characterized as low [2-4 mg/day], low-moderate (6-8 mg/day), moderate (12-18 mg/day), and high dose (≥ 24 mg/day). Patients with episodes in the high BDD trajectory have the lowest social risk (eg, lowest rate of past-year history of homelessness) and the lowest diagnosed rate of physical and mental health-related comorbidities compared to those following other trajectories. CONCLUSIONS: BDD ranges widely and patient characteristics are significantly different between those episodes following differing BDD trajectories. Future research on the association between BDD and subsequent patient outcomes (eg, overdose) needs to carefully consider these differences in baseline characteristics.