Successful treatment of severe passenger lymphocyte syndrome with efgartigimod synergy.

INTRODUCTION: This case describes passenger lymphocyte syndrome (PLS) generating human platelet antigen 1a (HPA-1a) alloantibodies against the recipient's platelets after liver transplant. Given the rarity of PLS, especially in liver transplant with HPA-1a alloantibodies, disease course and management options are poorly described. METHODS: The patient had cirrhosis secondary to nonalcoholic steatohepatitis complicated by hepatocellular carcinoma, encephalopathy, and severe ascites. The model for end-stage liver disease (MELD) score was 15 at presentation. The patient developed hepatic artery thrombosis after an orthotopic liver transplant and was relisted for transplant with a MELD score of 40. The patient received a hepatitis C virus antibody positive, hepatitis C virus nucleic amplification test positive donor liver on postoperative day (POD) 7 after first transplant. On POD 7 after the second transplant, the patient developed profound thrombocytopenia refractory to platelet infusion. They were found to have serum antibody to HPA-1a based upon serum platelet alloantibody testing. The donor was later found to be negative for HPA-1a by genetic testing. However, the patient's native platelets were HPA-1a positive. The patient was diagnosed with PLS. RESULTS: The patient's treatment course included 57 units of platelets transfused, emergency splenectomy, rituximab, plasma exchange, intravenous immunoglobulin (IVIG), eltrombopag, romiplostim, and efgartigimod. DISCUSSION: The synergistic effect of efgartigimod with eltrombopag and romiplostim most likely resolved the patient's thrombocytopenia. This case represents a novel use of efgartigimod in the treatment of passenger lymphocyte syndrome following liver transplant.

Testing clinical selection criteria for intraoperative transoesophageal echocardiography in isolated coronary artery bypass graft surgery.

Background: There is a lack of evidence associating intraoperative transoesophageal echocardiography (TOE) use with improved outcomes among coronary artery bypass graft (CABG) surgery subpopulations. Methods: This matched retrospective cohort study used a US private claims dataset to compare outcomes among different CABG surgery patient populations with vs without TOE. Statistical analyses involved exact matching on pre-selected subgroups (congestive heart failure, single vessel, and multivessel CABG) and used fine and propensity-score balanced techniques to conduct multiple matched comparisons and sensitivity analyses. Results: Of 42 249 patients undergoing isolated CABG surgery, 24 919 (59.0%) received and 17 330 (41.0%) did not receive TOE. After matching, intraoperative TOE was significantly associated with a lower, 30-day mortality: 2.63% vs 3.20% (odds ratio [OR]: 0.81; 95% confidence interval [CI]: 0.71-0.92; P=0.002). In the subgroup matched comparisons, intraoperative TOE was significantly associated with a lower, 30-day mortality rate among those with congestive heart failure: 4.20% vs 5.26% (OR: 0.78; 95% CI: 0.66-0.94; P=0.007) and among those undergoing multivessel CABG with congestive heart failure: 4.23% vs 5.24% (OR: 0.80; 95% CI: 0.65-0.97; P=0.025), but not among those undergoing multivessel CABG without congestive heart failure: 1.83% vs 2.15% (OR: 0.85; 95% CI: 0.70-1.02; P=0.089, nor any of the remaining three subgroups. Conclusions: Among US adults undergoing isolated CABG surgery, intraoperative TOE was associated with improved outcomes in patients with congestive heart failure (vs without) and among patients undergoing multivessel (vs single vessel) CABG. These findings support prioritised TOE allocation to these patient populations at centres with limited TOE capabilities.

Can Brain Volume-Driven Characteristic Features Predict the Response of Alzheimer's Patients to Repetitive Transcranial Magnetic Stimulation? A Pilot Study.

This study is a post-hoc examination of baseline MRI data from a clinical trial investigating the efficacy of repetitive transcranial magnetic stimulation (rTMS) as a treatment for patients with mild-moderate Alzheimer's disease (AD). Herein, we investigated whether the analysis of baseline MRI data could predict the response of patients to rTMS treatment. Whole-brain T1-weighted MRI scans of 75 participants collected at baseline were analyzed. The analyses were run on the gray matter (GM) and white matter (WM) of the left and right dorsolateral prefrontal cortex (DLPFC), as that was the rTMS application site. The primary outcome measure was the Alzheimer's disease assessment scale-cognitive subscale (ADAS-Cog). The response to treatment was determined based on ADAS-Cog scores and secondary outcome measures. The analysis of covariance showed that responders to active treatment had a significantly lower baseline GM volume in the right DLPFC and a higher GM asymmetry index in the DLPFC region compared to those in non-responders. Logistic regression with a repeated five-fold cross-validated analysis using the MRI-driven features of the initial 75 participants provided a mean accuracy of 0.69 and an area under the receiver operating characteristic curve of 0.74 for separating responders and non-responders. The results suggest that GM volume or asymmetry in the target area of active rTMS treatment (DLPFC region in this study) may be a weak predictor of rTMS treatment efficacy. These results need more data to draw more robust conclusions.

Gray and White Matter Voxel-Based Morphometry of Alzheimer's Disease With and Without Significant Cerebrovascular Pathologies.

Alzheimer's disease (AD) is the most common type of dementia, and AD individuals often present significant cerebrovascular disease (CVD) symptomology. AD with significant levels of CVD is frequently labeled mixed dementia (or sometimes AD-CVD), and the differentiation of these two neuropathologies (AD, AD-CVD) from each other is challenging, especially at early stages. In this study, we compared the gray matter (GM) and white matter (WM) volumes in AD (n = 83) and AD-CVD (n = 37) individuals compared with those of cognitively healthy controls (n = 85) using voxel-based morphometry (VBM) of their MRI scans. The control individuals, matched for age and sex with our two dementia groups, were taken from the ADNI. The VBM analysis showed widespread patterns of significantly lower GM and WM volume in both dementia groups compared to the control group (P < .05, family-wise error corrected). While comparing with AD-CVD, the AD group mainly demonstrated a trend of lower volumes in the GM of the left putamen and right hippocampus and WM of the right thalamus (uncorrected P < .005 with cluster threshold, K = 10). The AD-CVD group relative to AD tended to present lower GM and WM volumes, mainly in the cerebellar lobules and right brainstem regions, respectively (uncorrected P < .005 with cluster threshold, K = 10). Although finding a discriminatory feature in structural MRI data between AD and AD-CVD neuropathologies is challenging, these results provide preliminary evidence that demands further investigation in a larger sample size.

A single-cell atlas of the aging mouse ovary.

Ovarian aging leads to diminished fertility, dysregulated endocrine signaling and increased chronic disease burden. These effects begin to emerge long before follicular exhaustion. Female humans experience a sharp decline in fertility around 35 years of age, which corresponds to declines in oocyte quality. Despite a growing body of work, the field lacks a comprehensive cellular map of the transcriptomic changes in the aging mouse ovary to identify early drivers of ovarian decline. To fill this gap we performed single-cell RNA sequencing on ovarian tissue from young (3-month-old) and reproductively aged (9-month-old) mice. Our analysis revealed a doubling of immune cells in the aged ovary, with lymphocyte proportions increasing the most, which was confirmed by flow cytometry. We also found an age-related downregulation of collagenase pathways in stromal fibroblasts, which corresponds to rises in ovarian fibrosis. Follicular cells displayed stress-response, immunogenic and fibrotic signaling pathway inductions with aging. This report provides critical insights into mechanisms responsible for ovarian aging phenotypes. The data can be explored interactively via a Shiny-based web application.

Automated Coronary Artery Tracking with a Voronoi-Based 3D Centerline Extraction Algorithm.

Coronary artery disease is one of the leading causes of death worldwide, and medical imaging methods such as coronary artery computed tomography are vitally important in its detection. More recently, various computational approaches have been proposed to automatically extract important artery coronary features (e.g., vessel centerlines, cross-sectional areas along vessel branches, etc.) that may ultimately be able to assist with more accurate and timely diagnoses. The current study therefore validated and benchmarked a recently developed automated 3D centerline extraction method for coronary artery centerline tracking using synthetically segmented coronary artery models based on the widely used Rotterdam Coronary Artery Algorithm Evaluation Framework (RCAAEF) training dataset. Based on standard accuracy metrics and the ground truth centerlines of all 32 coronary vessel branches in the RCAAEF training dataset, this 3D divide and conquer Voronoi diagram method performed exceptionally well, achieving an average overlap accuracy (OV) of 99.97%, overlap until first error (OF) of 100%, overlap of the clinically relevant portion of the vessel (OT) of 99.98%, and an average error distance inside the vessels (AI) of only 0.13 mm. Accuracy was also found to be exceptionally for all four coronary artery sub-types, with average OV values of 99.99% for right coronary arteries, 100% for left anterior descending arteries, 99.96% for left circumflex arteries, and 100% for large side-branch vessels. These results validate that the proposed method can be employed to quickly, accurately, and automatically extract 3D centerlines from segmented coronary arteries, and indicate that it is likely worthy of further exploration given the importance of this topic.

Differences in resting state functional connectivity relative to multiple sclerosis and impaired information processing speed.

Background: Fifty-one percent of individuals with multiple sclerosis (MS) develop cognitive impairment (CI) in information processing speed (IPS). Although IPS scores are associated with health and well-being, neural changes that underlie IPS impairments in MS are not understood. Resting state fMRI can provide insight into brain function changes underlying impairment in persons with MS. Objectives: We aimed to assess functional connectivity (FC) differences in (i) persons with MS compared to healthy controls (HC), (ii) persons with both MS and CI (MS-CI) compared to HC, (iii) persons with MS that are cognitively preserved (MS-CP) compared to HC, (iv) MS-CI compared to MS-CP, and (v) in relation to cognition within the MS group. Methods: We included 107 participants with MS (age 49.5 ± 12.9, 82% women), and 94 controls (age 37.9 ± 15.4, 66% women). Each participant was administered the Symbol Digit Modalities Test (SDMT) and underwent a resting state fMRI scan. The MS-CI group was created by applying a z-score cut-off of ≤-1.5 to locally normalized SDMT scores. The MS-CP group was created by applying a z-score of ≥0. Control groups (HCMS-CI and HCMS-CP) were based on the nearest age-matched HC participants. A whole-brain ROI-to-ROI analysis was performed followed by specific contrasts and a regression analysis. Results: Individuals with MS showed FC differences compared to HC that involved the cerebellum, visual and language-associated brain regions, and the thalamus, hippocampus, and basal ganglia. The MS-CI showed FC differences compared to HCMS-CI that involved the cerebellum, visual and language-associated areas, thalamus, and caudate. SDMT scores were correlated with FC between the cerebellum and lateral occipital cortex in MS. No differences were observed between the MS-CP and HCMS-CP or MS-CI and MS-CP groups. Conclusion: Our findings emphasize FC changes of cerebellar, visual, and language-associated areas in persons with MS. These differences were apparent for (i) all MS participants compared to HC, (ii) MS-CI subgroup and their matched controls, and (iii) the association between FC and SDMT scores within the MS group. Our findings strongly suggest that future work that examines the associations between FC and IPS impairments in MS should focus on the involvement of these regions.

Neural network extrapolation to distant regions of the protein fitness landscape.

Machine learning (ML) has transformed protein engineering by constructing models of the underlying sequence-function landscape to accelerate the discovery of new biomolecules. ML-guided protein design requires models, trained on local sequence-function information, to accurately predict distant fitness peaks. In this work, we evaluate neural networks' capacity to extrapolate beyond their training data. We perform model-guided design using a panel of neural network architectures trained on protein G (GB1)-Immunoglobulin G (IgG) binding data and experimentally test thousands of GB1 designs to systematically evaluate the models' extrapolation. We find each model architecture infers markedly different landscapes from the same data, which give rise to unique design preferences. We find simpler models excel in local extrapolation to design high fitness proteins, while more sophisticated convolutional models can venture deep into sequence space to design proteins that fold but are no longer functional. Our findings highlight how each architecture's inductive biases prime them to learn different aspects of the protein fitness landscape.

A Year of Inpatient Telehealth: Lessons From the COVID-19 Pandemic.

BACKGROUND: Relaxation of telehealth regulation enforcement during the coronavirus disease 2019 pandemic opened the door to massive expansion. Here we describe inpatient telehealth usage across a pediatric academic hospital during the first year of the pandemic. METHODS: We created hospital bed-specific inpatient telehealth accounts and monitored their use over a 1 year period using data from our video conferencing vendor. We matched data with our enterprise data warehouse based on session date and time to identify patients who participated in telehealth. We performed secondary analysis of all video conferences to identify additional multidisciplinary team and family meetings that did not leverage the bed-specific telehealth accounts. RESULTS: We hosted 6931 inpatient telehealth sessions associated with 1648 unique patients. Hospitalized patients participating in telehealth sessions were older and had markedly longer length of stay compared with those who did not use telehealth (median age 12 vs 8 years, P < .001; median length of stay 9.03 vs 2.03 days, P < .001). There were 2006 charges for telehealth sessions, half of which were from psychiatry providers. Secondary analysis revealed an additional 1132 sessions used for interdisciplinary team or family meetings. CONCLUSIONS: Clinicians used inpatient telehealth to support care of hospitalized pediatric patients during the coronavirus disease pandemic, particularly for mental health care and family meetings. These findings suggest ongoing opportunities for inpatient telehealth systems beyond the pandemic.

Altered voxel-based and surface-based morphometry in inflammatory bowel disease.

Inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), is characterized by inflammation of the gastrointestinal tract and is a disorder of the brain-gut axis. Neuroimaging studies of brain function and structure have helped better understand the relationships between the brain, gut, and comorbidity in IBD. Studies of brain structure have primarily employed voxel-based morphometry to measure grey matter volume and surface-based morphometry to measure cortical thickness. Far fewer studies have employed other surface-based morphometry metrics such as gyrification, cortical complexity, and sulcal depth. In this study, brain structure differences between 72 adults with IBD and 90 healthy controls were assessed using all five metrics. Significant differences were found for cortical thickness with the IBD group showing extensive left-lateralized thinning, and for cortical complexity with the IBD group showing greater complexity in the left fusiform and right posterior cingulate. No significant differences were found in grey matter volume, gyrification, or sulcal depth. Within the IBD group, a post hoc analysis identified that disease duration is associated with cortical complexity of the right supramarginal gyrus, albeit with a more lenient threshold applied.

Improving management of hyponatraemia by increasing urine testing in the emergency department.

Hyponatraemia on hospital admission is associated with increased length of stay, healthcare expenditures and mortality. Urine studies collected before fluid or diuretic administration are essential to diagnose the underlying cause of hyponatraemia, thereby empowering admitting teams to employ the appropriate treatment. A multidisciplinary quality improvement (QI) team led by internal medicine residents performed a QI project from July 2020 through June 2021 to increase the rate of urine studies collected before fluid or diuretic administration in the emergency department (ED) in patients admitted with moderate to severe hyponatraemia. We implemented two plan-do-study-act (PDSA) cycles to address this goal. In PDSA Cycle #1, we displayed an educational poster in employee areas of the ED and met with nursing staff at their monthly meetings to communicate the project and answer questions. We also obtained agreement from ED attending physicians and nursing leaders to support the project. In PDSA Cycle #2, we implemented a structural change in the nursing triage process to issue every patient who qualified for bloodwork with a urine specimen container labelled with a medical record number on registration so that the patient could provide a sample at any point, including while in the waiting area. After PDSA Cycle #1, urine specimen collection increased from 34.5% to 57.5%. After PDSA Cycle #2, this increased further to 59%. We conclude that a combination of educational and structural changes led to a significant increase in urine specimen collection before fluid or diuretic administration among patients presenting with moderate-to-severe hyponatraemia in the ED.

Incidence and risk factors of graft-versus-host disease after liver transplantation: A national study 2010-2020.

BACKGROUND: Graft-versus-host disease (GVHD) is a common complication of hematopoietic cell transplantation, and its incidence is low in liver transplantation (LT). Estimating the incidence of GVHD after LT is challenging due to the paucity of available data from the United Network for Organ Sharing. This is the first national analysis of the incidence and risk factors of GVHD after LT. METHODS: This retrospective cohort study used the National Readmission Database to calculate the incidence rate of GVHD within 1 year of LT using survival analysis. The predictors of GVHD were identified using univariate and multivariate Cox regression analyses. RESULTS: From 2010 to 2020, of 88,433 LTs, 383 cases of GVHD occurred within 1 year after LT, resulting in an incidence rate of 1.0% (95% CI: 0.8%-1.3%). We observed no statistically significant change in the incidence of GVHD after LT from 2010 to 2020 (beta-coefficient, -0.07%; 95% CI: -0.17% to 0.04%, p = 0.188). Interestingly, alcohol-associated liver disease was associated with a lower risk of GVHD (adjusted HR, 0.57; 95% CI: 0.36-0.91, p = 0.018), whereas a higher risk was found to be related to a secondary diagnosis of COVID-19 on index admission. CONCLUSION: Our study found that the incidence rate of GVHD within 1 year of LT in the United States was 1.0% and remained stable from 2010 to 2020. The predictors associated with GVHD include alcohol-associated liver disease and COVID-19. Our study provides valuable insights into the incidence, risk factors, and outcomes of GVHD after LT.

Vascular Disease Is Associated With Differences in Brain Structure and Lower Cognitive Functioning in Inflammatory Bowel Disease: A Cross-Sectional Study.

BACKGROUND: Vascular disease and cognitive impairment have been increasingly documented in inflammatory bowel disease (IBD), and both have been individually correlated with changes in brain structure. This study aimed to determine if both macro- and microstructural brain changes are prevalent in IBD and whether alterations in brain structure mediate the relationship between vascular disease and cognitive functioning. METHODS: Eighty-four IBD participants underwent multimodal magnetic resonance imaging. Volumetric and mean diffusivity measures of the thalamus, hippocampus, normal-appearing white matter, and white matter lesions were converted to age- and sex-adjusted z scores. Vascular comorbidity was assessed using a modified Framingham Risk Score and cognition was assessed using a battery of neuropsychological tests. Test scores were standardized using local regression-based norms. We generated summary statistics for the magnetic resonance imaging metrics and cognitive tests, and these were examined using canonical correlation analysis and linear regression modeling. RESULTS: Greater vascular comorbidity was negatively correlated with thalamic, normal-appearing white matter, and white matter lesion volumes. Higher Framingham Risk Score were also correlated with lower processing speed, learning and memory, and verbal fluency. Increased vascular comorbidity was predictive of poorer cognitive functioning, and this effect was almost entirely mediated (94.76%) by differences in brain structure. CONCLUSIONS: Vascular comorbidity is associated with deleterious effects on brain structure and lower cognitive functioning in IBD. These findings suggest that proper identification and treatment of vascular disease is essential to the overall management of IBD, and that certain brain areas may serve as critical targets for predicting the response to therapeutic interventions.

Vascular disease is associated with decreased cognitive performance in persons with inflammatory bowel disease, and this is mainly driven by changes in the brain, including both gray matter and white matter regions.

Association of serum IgG4 and disease outcomes in patients with inflammatory bowel disease.

Background: The etiology of inflammatory bowel disease (IBD) is multifactorial and thought to be influenced by inappropriate activation of the gut mucosal immune system. As the only immunoglobulin G (IgG) subclass unable to activate the classical complement cascade, the role of IgG4 in IBD pathophysiology as an immunomodulator is controversial. This study aimed to determine the association of low, normal and high IgG4 levels with the outcomes of IBD patients. Methods: This was a retrospective study of a multisite tertiary care center database evaluating patients with IBD who had an IgG4 level drawn between 2014 and 2021. Subjects were divided into low, normal, and high IgG4 level groups for evaluation of demographic and clinical indicators of IBD activity and severity. Results: Of 284 patients with IBD, 22 had low (7.7%), 16 high (5.6%), and 246 (86.6%) normal IgG4 levels. There was no difference in IBD subtype, mean age, age at IBD diagnosis, or smoking between the 3 groups. There was no difference in number of hospitalizations (P=0.20), C-reactive protein levels, need for intestinal resection (P=0.85), or presence of primary sclerosing cholangitis (P=0.15), pancreatitis (P=0.70), or perianal disease (P=0.68) between the groups. Significantly more patients in the low IgG4 group had previous exposure to vedolizumab compared to the other groups and more patients in the low IgG4 group received vedolizumab (P=0.04), azathioprine (P=0.04) and prednisone (P=0.03) during the 5-year follow up. Conclusion: In this study, a low serum IgG4 level was associated with higher rates of vedolizumab, azathioprine, and steroid use.

Periventricular and juxtacortical characterization of UManitoba-JHU functionally defined human white matter atlas networks.

Background: The open-access UManitoba-JHU functionally defined human white matter (WM) atlas contains specific WM pathways and general WM regions underlying 12 functional brain networks in ICBM152 template space. However, it is not known whether any of these WM networks are disproportionately co-localized with periventricular and/or juxtacortical WM (PVWM and JCWM), which could potentially impact their ability to infer network-specific effects in future studies-particularly in patient populations expected to have disproportionate PVWM and/or JCWM damage. Methods: The current study therefore identified intersecting regions of PVWM and JCWM (defined as WM within 5 mm of the ventricular and cortical boundaries) and: (1) the ICBM152 global WM mask, and (2) all 12 UManitoba-JHU WM networks. Dice Similarity Coefficient (DSC), Jaccard Similarity Coefficient (JSC), and proportion of volume (POV) values between PVWM (and JCWM) and each functionally defined WM network were then compared to corresponding values between PVWM (and JCWM) and global WM. Results: Between the 12 WM networks and PVWM, 8 had lower DSC, JSC, and POV; 1 had lower DSC and JSC, but higher POV; and 3 had higher DSC, JSC, and POV compared to global WM. For JCWM, all 12 WM networks had lower DSC, JSC, and POV compared to global WM. Conclusion: The majority of UManitoba-JHU functionally defined WM networks exhibited lower than average spatial similarity with PVWM, and all exhibited lower than average spatial similarity with JCWM. This suggests that they can be used to explore network-specific WM changes, even in patient populations with known predispositions toward PVWM and/or JCWM damage.

A single-cell atlas of the aging murine ovary.

Ovarian aging leads to diminished fertility, dysregulated endocrine signaling, and increased chronic disease burden. These effects begin to emerge long before follicular exhaustion. Around 35 years old, women experience a sharp decline in fertility, corresponding to declines in oocyte quality. Despite a growing body of work, the field lacks a comprehensive cellular map of the transcriptomic changes in the aging ovary to identify early drivers of ovarian decline. To fill this gap, we performed single-cell RNA sequencing on ovarian tissue from young (3-month-old) and reproductively aged (9-month-old) mice. Our analysis revealed a doubling of immune cells in the aged ovary, with lymphocyte proportions increasing the most, which was confirmed by flow cytometry. We also found an age-related downregulation of collagenase pathways in stromal fibroblasts, which corresponds to rises in ovarian fibrosis. Follicular cells displayed stress response, immunogenic, and fibrotic signaling pathway inductions with aging. This report raises provides critical insights into mechanisms responsible for ovarian aging phenotypes.

Inferring protein fitness landscapes from laboratory evolution experiments.

Directed laboratory evolution applies iterative rounds of mutation and selection to explore the protein fitness landscape and provides rich information regarding the underlying relationships between protein sequence, structure, and function. Laboratory evolution data consist of protein sequences sampled from evolving populations over multiple generations and this data type does not fit into established supervised and unsupervised machine learning approaches. We develop a statistical learning framework that models the evolutionary process and can infer the protein fitness landscape from multiple snapshots along an evolutionary trajectory. We apply our modeling approach to dihydrofolate reductase (DHFR) laboratory evolution data and the resulting landscape parameters capture important aspects of DHFR structure and function. We use the resulting model to understand the structure of the fitness landscape and find numerous examples of epistasis but an overall global peak that is evolutionarily accessible from most starting sequences. Finally, we use the model to perform an in silico extrapolation of the DHFR laboratory evolution trajectory and computationally design proteins from future evolutionary rounds.

Bacteroides thetaiotaomicron, a Model Gastrointestinal Tract Species, Prefers Heme as an Iron Source, Yields Protoporphyrin IX as a Product, and Acts as a Heme Reservoir.

Members of the phylum Bacteroidetes are abundant in healthy gastrointestinal (GI) tract flora. Bacteroides thetaiotaomicron is a commensal heme auxotroph and representative of this group. Bacteroidetes are sensitive to host dietary iron restriction but proliferate in heme-rich environments that are also associated with colon cancer. We hypothesized that B. thetaiotaomicron may act as a host reservoir for iron and/or heme. In this study, we defined growth-promoting quantities of iron for B. thetaiotaomicron. B. thetaiotaomicron preferentially consumed and hyperaccumulated iron in the form of heme when presented both heme and nonheme iron sources in excess of its growth needs, leading to an estimated 3.6 to 8.4 mg iron in a model GI tract microbiome consisting solely of B. thetaiotaomicron. Protoporphyrin IX was identified as an organic coproduct of heme metabolism, consistent with anaerobic removal of iron from the heme leaving the intact tetrapyrrole as the observed product. Notably, no predicted or discernible pathway for protoporphyrin IX generation exists in B. thetaiotaomicron. Heme metabolism in congeners of B. thetaiotaomicron has previously been associated with the 6-gene hmu operon, based on genetic studies. A bioinformatics survey demonstrated that the intact operon is widespread in but confined to members of the Bacteroidetes phylum and ubiquitous in healthy human GI tract flora. Anaerobic heme metabolism by commensal Bacteroidetes via hmu is likely a major contributor to human host metabolism of the heme from dietary red meat and a driver for the selective growth of these species in the GI tract consortium. IMPORTANCE Research on bacterial iron metabolism has historically focused on the host-pathogen relationship, where the host suppresses pathogen growth by cutting off access to iron. Less is known about how host iron is shared with bacterial species that live commensally in the anaerobic human GI tract, typified by members of phylum Bacteroidetes. While many facultative pathogens avidly produce and consume heme iron, most GI tract anaerobes are heme auxotrophs whose metabolic preferences we aimed to describe. Understanding iron metabolism by model microbiome species like Bacteroides thetaiotaomicron is essential for modeling the ecology of the GI tract, which serves the long-term biomedical goals of manipulating the microbiome to facilitate host metabolism of iron and remediate dysbiosis and associated pathologies (e.g., inflammation and cancer).