Periportal macrophages protect against commensal-driven liver inflammation.

The liver is the main gateway from the gut, and the unidirectional sinusoidal flow from portal to central veins constitutes heterogenous zones, including the periportal vein (PV) and the pericentral vein zones1-5. However, functional differences in the immune system in each zone remain poorly understood. Here intravital imaging revealed that inflammatory responses are suppressed in PV zones. Zone-specific single-cell transcriptomics detected a subset of immunosuppressive macrophages enriched in PV zones that express high levels of interleukin-10 and Marco, a scavenger receptor that sequesters pro-inflammatory pathogen-associated molecular patterns and damage-associated molecular patterns, and consequently suppress immune responses. Induction of Marco+ immunosuppressive macrophages depended on gut microbiota. In particular, a specific bacterial family, Odoribacteraceae, was identified to induce this macrophage subset through its postbiotic isoallolithocholic acid. Intestinal barrier leakage resulted in inflammation in PV zones, which was markedly augmented in Marco-deficient conditions. Chronic liver inflammatory diseases such as primary sclerosing cholangitis (PSC) and non-alcoholic steatohepatitis (NASH) showed decreased numbers of Marco+ macrophages. Functional ablation of Marco+ macrophages led to PSC-like inflammatory phenotypes related to colitis and exacerbated steatosis in NASH in animal experimental models. Collectively, commensal bacteria induce Marco+ immunosuppressive macrophages, which consequently limit excessive inflammation at the gateway of the liver. Failure of this self-limiting system promotes hepatic inflammatory disorders such as PSC and NASH.

Spatial diversity of in vivo tissue immunity.

The immune system exhibits spatial diversity in in vivo tissues. Immune cells are strategically distributed within tissues to maintain the organ integrity. Advanced technologies such as intravital imaging and spatial transcriptomics have revealed the spatial heterogeneity of immune cell distribution and function within organs such as the liver, kidney, intestine, and lung. In addition, these technologies visualize nutrient and oxygen environments across tissues. Recent spatial analyses have suggested that a functional immune niche is determined by interactions between immune and non-immune cells in an appropriate nutrient and oxygen environment. Understanding the spatial communication between immune cells, environment, and surrounding non-immune cells is crucial for developing strategies to control immune responses and effectively manage inflammatory diseases.

Spatial heterogeneity and functional zonation of living tissues and organs in situ.

In most organs, resources such as nutrients, oxygen, and physiologically active substances are unevenly supplied within the tissue spaces. Consequently, different tissue functions are exhibited in each space. This spatial heterogeneity of tissue environments arises depending on the spatial arrangement of nutrient vessels and functional vessels, leading to continuous changes in the metabolic states and functions of various cell types from regions proximal to these vessels to distant regions. This phenomenon is referred to as "zonation". Traditional analytical methods have made it difficult to investigate this zonation in detail. However, recent advancements in intravital imaging, spatial transcriptomics, and single-cell transcriptomics technologies have facilitated the discovery of "zones" in various organs and elucidated their physiological roles. Here, we outline the spatial differences in the immune system within each zone of organs. This information provides a deeper understanding of organs' immune systems.

Function of alveolar macrophages in lung cancer microenvironment.

BACKGROUND: Cancer tissues contain a wide variety of immune cells that play critical roles in suppressing or promoting tumor progression. Macrophages are one of the most predominant populations in the tumor microenvironment and are composed of two classes: infiltrating macrophages from the bone marrow and tissue-resident macrophages (TRMs). This review aimed to outline the function of TRMs in the tumor microenvironment, focusing on lung cancer. REVIEW: Although the functions of infiltrating macrophages and tumor-associated macrophages have been intensively analyzed, a comprehensive understanding of TRM function in cancer is relatively insufficient because it differs depending on the tissue and organ. Alveolar macrophages (AMs), one of the most important TRMs in the lungs, are replenished in situ, independent of hematopoietic stem cells in the bone marrow, and are abundant in lung cancer tissue. Recently, we reported that AMs support cancer cell proliferation and contribute to unfavorable outcomes. CONCLUSION: In this review, we introduce the functions of AMs in lung cancer and their underlying molecular mechanisms. A thorough understanding of the functions of AMs in lung cancer will lead to improved treatment outcomes.

Epidemiologic Trends in Human Papillomavirus-Associated Sinonasal Squamous Cell Carcinoma.

Importance: Sinonasal squamous cell carcinoma (SNSCC) is the most commonly encountered cancer within the sinonasal cavity. Ongoing research has sought to ascertain the potential role of human papillomavirus (HPV) in the pathogenesis of SNSCC. Objective: To assess trends in HPV-associated and HPV-independent SNSCC over time, including assessment of clinical demographics, treatment patterns, and survival. Design, Setting, and Participants: This cohort study used patient data from the National Cancer Institute's Surveillance, Epidemiology, and End Results Program database between 1975 and 2018. Anatomic sites with a greater predilection for HPV positivity (ie, nasal cavity, ethmoid sinus) were used as a surrogate for HPV-associated SNSCC; meanwhile, patients with SNSCC in the other subsites were classified into the HPV-independent group. Data were analyzed from August 2022 to May 2023. Main Outcomes and Measures: Clinical demographics and mortality trends over time were described for the HPV-associated and HPV-independent groups and further stratified according to stage on presentation. Results: The study population consisted of 3752 patients with SNSCC (mean [SD] age at diagnosis, 65.7 [13.3] years; 2417 [64.4%] male), with 1983 (52.9%) having HPV-associated SNSCC and 1769 (47.1%) with HPV-independent SNSCC. Patients with HPV-associated subsites compared with patients with HPV-independent SNSCC were more likely to present with localized disease (838 [42.3%] vs 162 [9.2%]), whereas more patients in the HPV-independent group than HPV-associated group presented with regional disease (1018 [57.5%] vs 480 [24.2%]). Incidence-based mortality was stable over time within the HPV-associated group (0.32%) and, conversely, showed a significant decrease within the HPV-independent group (-2.29%). Patients with HPV-associated SNSCC had a higher 5-year overall survival when compared with the HPV-independent group (62% vs 35% [difference, 27 percentage points; 95% CI, 23-31 percentage points]). The better 5-year overall survival in the HPV-associated group vs HPV-independent group was present across all disease stages (localized: hazard ratio [HR], 2.67; 95% CI, 1.96-3.65; regional: HR, 1.53; 95% CI, 1.29-1.82; and distant: HR, 1.97; 95% CI, 1.52-2.55). Conclusions and Relevance: This cohort study showed that the proportion of HPV-associated SNSCC rose over time associated with both a rise in the proportion of nasal cavity SNSCC and a decrease in HPV-independent maxillary sinus SNSCC. These data suggest that HPV-associated SNSCC has a distinct demographic and prognostic profile, given the improved survival seen in patients with HPV-associated SNSCC.

Commitment to inclusion: The importance of collaboration in gender equity work.

Despite decades of faculty professional development programs created to prepare women for leadership, gender inequities persist in salary, promotion, and leadership roles. Indeed, men still earn more than women, are more likely than women to hold the rank of professor, and hold the vast majority of positions of power in academic medicine. Institutions demonstrate commitment to their faculty's growth by investing resources, including creating faculty development programs. These programs are essential to help prepare women to lead and navigate the highly matrixed, complex systems of academic medicine. However, data still show that women persistently lag behind men in their career advancement and salary. Clearly, training women to adapt to existing structures and norms alone is not sufficient. To effectively generate organizational change, leaders with power and resources must commit to gender equity. This article describes several efforts by the Office of Faculty in the Johns Hopkins University School of Medicine to broaden inclusivity in collaborative work for gender equity. The authors are women and men leaders in the Office of Faculty, which is within the Johns Hopkins University School of Medicine dean's office and includes Women in Science and Medicine. Here, we discuss potential methods to advance gender equity using inclusivity based on our institutional experience and on the findings of other studies. Ongoing data collection to evaluate programmatic outcomes in the Johns Hopkins University School of Medicine will be reported in the future.

OneSLAM to map them all: a generalized approach to SLAM for monocular endoscopic imaging based on tracking any point.

PURPOSE: Monocular SLAM algorithms are the key enabling technology for image-based surgical navigation systems for endoscopic procedures. Due to the visual feature scarcity and unique lighting conditions encountered in endoscopy, classical SLAM approaches perform inconsistently. Many of the recent approaches to endoscopic SLAM rely on deep learning models. They show promising results when optimized on singular domains such as arthroscopy, sinus endoscopy, colonoscopy or laparoscopy, but are limited by an inability to generalize to different domains without retraining. METHODS: To address this generality issue, we propose OneSLAM a monocular SLAM algorithm for surgical endoscopy that works out of the box for several endoscopic domains, including sinus endoscopy, colonoscopy, arthroscopy and laparoscopy. Our pipeline builds upon robust tracking any point (TAP) foundation models to reliably track sparse correspondences across multiple frames and runs local bundle adjustment to jointly optimize camera poses and a sparse 3D reconstruction of the anatomy. RESULTS: We compare the performance of our method against three strong baselines previously proposed for monocular SLAM in endoscopy and general scenes. OneSLAM presents better or comparable performance over existing approaches targeted to that specific data in all four tested domains, generalizing across domains without the need for retraining. CONCLUSION: OneSLAM benefits from the convincing performance of TAP foundation models but generalizes to endoscopic sequences of different anatomies all while demonstrating better or comparable performance over domain-specific SLAM approaches. Future research on global loop closure will investigate how to reliably detect loops in endoscopic scenes to reduce accumulated drift and enhance long-term navigation capabilities.

Sex-dependent regulation of vertebrate somatic growth and aging by germ cells.

The function of germ cells in somatic growth and aging has been demonstrated in invertebrate models but remains unclear in vertebrates. We demonstrated sex-dependent somatic regulation by germ cells in the short-lived vertebrate model Nothobranchius furzeri. In females, germ cell removal shortened life span, decreased estrogen, and increased insulin-like growth factor 1 (IGF-1) signaling. In contrast, germ cell removal in males improved their health with increased vitamin D signaling. Body size increased in both sexes but was caused by different signaling pathways, i.e., IGF-1 and vitamin D in females and males, respectively. Thus, vertebrate germ cells regulate somatic growth and aging through different pathways of the endocrine system, depending on the sex, which may underlie the sexual difference in reproductive strategies.

Variation in Lip Shape and Aesthetics in the Young Female Population: A Statistical Atlas Study.

Background: The distribution of lip shapes in young females and how morphological variation relates to attractiveness are poorly defined. Objectives: We hypothesized that among young female lip images generated by a statistical atlas model, those with more full lips compared with those with less full lips would be perceived as more attractive as measured by anonymous survey participants. Method: A statistical atlas of lip morphology was created using photographs of 700 women aged 18-35 years. The average lip shape was determined by coregistering and averaging images. Morphological variation was analyzed using principal component analysis. The relationship between attractiveness and observed lip morphologies was assessed using publicly distributed surveys. Results: In total, 428 survey responses were obtained. We developed a statistical model of variation of lip shape in the population and its relationship to attractiveness. The most attractive lips were significantly fuller than the average shape in the population, with greater vertical height and surface area. Conclusion: A statistical atlas can provide a visual guide to variation in lip shape in the population. The most attractive lip shapes vary significantly from the population average, lending support to procedures that increase lip height and surface area.

A Label-Efficient Framework for Automated Sinonasal CT Segmentation in Image-Guided Surgery.

OBJECTIVE: Segmentation, the partitioning of patient imaging into multiple, labeled segments, has several potential clinical benefits but when performed manually is tedious and resource intensive. Automated deep learning (DL)-based segmentation methods can streamline the process. The objective of this study was to evaluate a label-efficient DL pipeline that requires only a small number of annotated scans for semantic segmentation of sinonasal structures in CT scans. STUDY DESIGN: Retrospective cohort study. SETTING: Academic institution. METHODS: Forty CT scans were used in this study including 16 scans in which the nasal septum (NS), inferior turbinate (IT), maxillary sinus (MS), and optic nerve (ON) were manually annotated using an open-source software. A label-efficient DL framework was used to train jointly on a few manually labeled scans and the remaining unlabeled scans. Quantitative analysis was then performed to obtain the number of annotated scans needed to achieve submillimeter average surface distances (ASDs). RESULTS: Our findings reveal that merely four labeled scans are necessary to achieve median submillimeter ASDs for large sinonasal structures-NS (0.96 mm), IT (0.74 mm), and MS (0.43 mm), whereas eight scans are required for smaller structures-ON (0.80 mm). CONCLUSION: We have evaluated a label-efficient pipeline for segmentation of sinonasal structures. Empirical results demonstrate that automated DL methods can achieve submillimeter accuracy using a small number of labeled CT scans. Our pipeline has the potential to improve pre-operative planning workflows, robotic- and image-guidance navigation systems, computer-assisted diagnosis, and the construction of statistical shape models to quantify population variations. LEVEL OF EVIDENCE: N/A.

A Deep Learning Framework for Analysis of the Eustachian Tube and the Internal Carotid Artery.

OBJECTIVE: Obtaining automated, objective 3-dimensional (3D) models of the Eustachian tube (ET) and the internal carotid artery (ICA) from computed tomography (CT) scans could provide useful navigational and diagnostic information for ET pathologies and interventions. We aim to develop a deep learning (DL) pipeline to automatically segment the ET and ICA and use these segmentations to compute distances between these structures. STUDY DESIGN: Retrospective cohort. SETTING: Tertiary referral center. METHODS: From a database of 30 CT scans, 60 ET and ICA pairs were manually segmented and used to train an nnU-Net model, a DL segmentation framework. These segmentations were also used to develop a quantitative tool to capture the magnitude and location of the minimum distance point (MDP) between ET and ICA. Performance metrics for the nnU-Net automated segmentations were calculated via the average Hausdorff distance (AHD) and dice similarity coefficient (DSC). RESULTS: The AHD for the ET and ICA were 0.922 and 0.246 mm, respectively. Similarly, the DSC values for the ET and ICA were 0.578 and 0.884. The mean MDP from ET to ICA in the cartilaginous region was 2.6 mm (0.7-5.3 mm) and was located on average 1.9 mm caudal from the bony cartilaginous junction. CONCLUSION: This study describes the first end-to-end DL pipeline for automated ET and ICA segmentation and analyzes distances between these structures. In addition to helping to ensure the safe selection of patients for ET dilation, this method can facilitate large-scale studies exploring the relationship between ET pathologies and the 3D shape of the ET.

An endoscopic chisel: intraoperative imaging carves 3D anatomical models.

PURPOSE: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to complement endoscopy imaging. However, surgery elicits anatomical changes not represented in the preoperative model, generating an inaccurate basis for navigation during surgery progression. METHODS: We propose a first vision-based approach to update the preoperative 3D anatomical model leveraging intraoperative endoscopic video for navigated sinus surgery where relative camera poses are known. We rely on comparisons of intraoperative monocular depth estimates and preoperative depth renders to identify modified regions. The new depths are integrated in these regions through volumetric fusion in a truncated signed distance function representation to generate an intraoperative 3D model that reflects tissue manipulation RESULTS: We quantitatively evaluate our approach by sequentially updating models for a five-step surgical progression in an ex vivo specimen. We compute the error between correspondences from the updated model and ground-truth intraoperative CT in the region of anatomical modification. The resulting models show a decrease in error during surgical progression as opposed to increasing when no update is employed. CONCLUSION: Our findings suggest that preoperative 3D anatomical models can be updated using intraoperative endoscopy video in navigated sinus surgery. Future work will investigate improvements to monocular depth estimation as well as removing the need for external navigation systems. The resulting ability to continuously update the patient model may provide surgeons with a more precise understanding of the current anatomical state and paves the way toward a digital twin paradigm for sinus surgery.

Correcting for Rater Effects in Operating Room Surgical Skills Assessment.

OBJECTIVE: To estimate and adjust for rater effects in operating room surgical skills assessment performed using a structured rating scale for nasal septoplasty. METHODS: We analyzed survey responses from attending surgeons (raters) who supervised residents and fellows (trainees) performing nasal septoplasty in a prospective cohort study. We fit a structural equation model with the rubric item scores regressed on a latent component of skill and then fit a second model including the rating surgeon as a random effect to model a rater-effects-adjusted latent surgical skill. We validated this model against conventional measures including the level of expertise and post-graduation year (PGY) commensurate with the trainee's performance, the actual PGY of the trainee, and whether the surgical goals were achieved. RESULTS: Our dataset included 188 assessments by 7 raters and 41 trainees. The model with one latent construct for surgical skill and the rater as a random effect was the best. Rubric scores depended on how severe or lenient the rater was, sometimes almost as much as they depended on trainee skill. Rater-adjusted latent skill scores increased with attending-estimated skill levels and PGY of trainees, increased with the actual PGY, and appeared constant over different levels of achievement of surgical goals. CONCLUSION: Our work provides a method to obtain rater effect adjusted surgical skill assessments in the operating room using structured rating scales. Our method allows for the creation of standardized (i.e., rater-effects-adjusted) quantitative surgical skill benchmarks using national-level databases on trainee assessments. LEVEL OF EVIDENCE: N/A Laryngoscope, 134:3548-3554, 2024.