Citations

Abstract Systemic lupus erythematosus (SLE) inflicts damage via autoantibody complexes that result in multiorgan damage and renal failure. The BXSB.Yaa mouse is a well-established model of SLE. We show that genetic disruption of multiple components of the MHC I axis greatly accelerates autoimmune disease in this model. Mice lacking both CD8 and IL15 succumb to SLE-like disease earliest (mean age 14 wks), implying a protective role for CD8 T cells and potentially natural killer cells dependent on IL15. BXSB.Yaa mice develop an expanded population of CD8 T cells with increased expression of both CD122 and IL15Rα, which we propose is due to increased expression of IL15R on these cells. Neither Foxp3 nor CD25 are elevated, and IL10 deficient BXSB.Yaa mice fail to show accelerated disease. However, lytic function appears significant as BXSB.Yaa mice deficient in perforin show decreased survival. TCR analysis failed to suggest a biased CD8 T cell repertoire, suggesting that the cellular targets of suppression are not antigenically discrete. Overall, the results suggest the existence of potent MHC I-dependent suppressor cell population(s) that normally protect BXSB.Yaa mice from an even more aggressive form of SLE-like disease. Moreover, the results support a model in which suppression is unlikely to be mediated by cytokine regulation but instead by lytic mechanisms. Harnessing this inherent regulatory cell population could provide a novel strategy to treat SLE and related syndromes.

Abstract A potential association of endogenous circadian rhythm disruption with risk of cancer development has been suggested, however, epidemiological evidence for the association of sleep traits with colorectal cancer (CRC) is limited and often contradictory. Here we investigated whether genetically predicted chronotype, insomnia and sleep duration are associated with CRC risk in males, females and overall and according to CRC anatomical subsites using Mendelian randomization (MR). The two-sample inverse variance weighted (IVW) method was applied using summary-level data in up to 58,221 CRC cases and 67,694 controls and genome-wide association data of genetic variants for self-reported sleep traits. Secondary analyses using alternative instruments and sensitivity analyses assessing potential violations of MR assumptions were conducted. Genetically predicted morning preference was associated with 13% lower risk of CRC in men (ORIVW = 0.87, 95% CI = 0.78, 0.97, P = 0.01), but not in women or in both sexes combined. Τhis association remained consistent in some, but not all, sensitivity analyses and was very similar for colon and rectal cancer. There was no evidence of an association for any other sleep trait. Overall, this study provides little to no evidence of an association between genetically predicted sleep traits and CRC risk.

Background: Regional anesthesia (“block”) is an important component of upper extremity (UE) surgery pain control. However, little is known about patient experience related to perioperative opioid use. This study assessed patient-reported pain control and satisfaction with UE blocks and evaluated how opioid consumption impacted these outcomes before the block “wore off.” Methods: A postoperative phone survey was administered to patients who underwent outpatient UE surgery at a surgery center for more than 16 months. It assessed pain scores (scale 1-10), satisfaction with block duration (scale 1-5), duration until return of UE function, and opioid consumption. Analyses used Mann-Whitney U tests, Fisher exact tests, and bivariate and multivariable linear and ordered logistic regressions to understand relationships between opioid use and outcomes. Results: A total of 509 patients (61%) completed the survey, and 441 (88%) were satisfied with block duration. Initial and final pain scores were significantly higher in patients who took opioids prior to the block wearing off (6 and 4.5, P = .04 and 3.5 and 2, P = .002, respectively). Although satisfaction with block duration was not different in group comparisons (ie, patients who premedicated vs those who did not), in a multivariable analysis, patients who premedicated with opioids had 78% increased odds of reporting the highest level of satisfaction compared with the lower 4 levels ( P = .03). Conclusions: Upper extremity blocks are associated with high overall patient satisfaction and postsurgical pain control. Premedicating before the block wears off may increase patient satisfaction with block duration even if pain is not notably impacted.

This essay describes 3 health care workers who unexpectedly encounter a patient in need.

Background and Objectives: Our study aimed to cluster dual kidney transplant recipients using an unsupervised machine learning approach to characterize donors and recipients better and to compare the survival outcomes across these various clusters. Materials and Methods: We performed consensus cluster analysis based on recipient-, donor-, and transplant-related characteristics in 2821 dual kidney transplant recipients from 2010 to 2019 in the OPTN/UNOS database. We determined the important characteristics of each assigned cluster and compared the post-transplant outcomes between clusters. Results: Two clinically distinct clusters were identified by consensus cluster analysis. Cluster 1 patients was characterized by younger patients (mean recipient age 49 ± 13 years) who received dual kidney transplant from pediatric (mean donor age 3 ± 8 years) non-expanded criteria deceased donor (100% non-ECD). In contrast, Cluster 2 patients were characterized by older patients (mean recipient age 63 ± 9 years) who received dual kidney transplant from adult (mean donor age 59 ± 11 years) donor with high kidney donor profile index (KDPI) score (59% had KDPI ≥ 85). Cluster 1 had higher patient survival (98.0% vs. 94.6% at 1 year, and 92.1% vs. 76.3% at 5 years), and lower acute rejection (4.2% vs. 6.1% within 1 year), when compared to cluster 2. Death-censored graft survival was comparable between two groups (93.5% vs. 94.9% at 1 year, and 89.2% vs. 84.8% at 5 years). Conclusions: In summary, DKT in the United States remains uncommon. Two clusters, based on specific recipient and donor characteristics, were identified through an unsupervised machine learning approach. Despite varying differences in donor and recipient age between the two clusters, death-censored graft survival was excellent and comparable. Broader utilization of DKT from high KDPI kidneys and pediatric en bloc kidneys should be encouraged to better address the ongoing organ shortage.

Abstract Background: Group G streptococcal species can represent normal human flora as asymptomatic colonization. In the setting of infection, group G streptococcus can invade multiple structures and present broadly including bacteremia, toxic shock syndrome, endocarditis, septic arthritis, osteomyelitis, necrotizing skin infections, pharyngitis, and others. Severe cases tend to be more common in patients of increasing age or with chronic illnesses. Here we report a case of disseminated group G streptococcus mimicking systemic vasculitis. Case Presentation: A 41-year-old white male was hospitalized with a five-day history of fevers, chills, painful bilateral leg rash, generalized arthralgias, and right eye redness, pain and severe vision loss. Medical history was significant for minimal change disease treated with prednisone and cyclosporine. On admission, he was noted to be cushingoid with edematous erythema at the left hand, and bilateral lower limb rash. The right eye was inflamed with hypopyon. Laboratory studies demonstrated mild leukocytosis, modest thrombocytopenia, hyponatremia, hyperglycemia, with elevated CRP and creatinine. Urinalysis was positive for proteinuria, microscopic hematuria, and pyuria. CT chest demonstrated right upper lobe consolidation. There was concern for systemic vasculitis and cellulitis of the left hand. Intravenous methylprednisolone and empiric antibiotics were initiated. Ophthalmology was consulted for right uveitis and aspirated fluid from the anterior chamber. Dermatology biopsied the lower limb rash and identified leukocytoclastic vasculitis. Pulmonology performed bronchoscopy and bronchoalveolar lavage of the right upper lobe. Prior renal pathology was re-reviewed. Rheumatology was consulted due to suspicions for systemic vasculitis. Lancefield group G streptococcus was ultimately cultured from multiple blood samples, bronchoalveolar lavage fluid and right eye aspirate. There was no evidence of endocarditis on imaging. It was concluded that the source of the bacteremia and disseminated infection was most likely the left-hand cellulitis. Conclusions: To our knowledge, we present the first case of disseminated Group G streptococcal infection presenting with the constellation of bacteremia, endophthalmitis, focal mass-like lung consolidation, and leukocytoclastic vasculitis of lower extremities. The multi-organ distribution mimicked a systemic small vessel vasculitis. This case highlights the importance of infectious etiologies in the differential diagnosis of vasculitis – especially in the setting of infectious risk factors.

Purpose/Objective(s): Microbiome has been shown to affect tumorigenesis by promoting inflammation. However, the association between the upper aerodigestive microbiome and head and neck squamous cell carcinoma (HNSCC) is not well established. Hypoxia is a modifiable factor associated with poor radiation response. Our study analyzed the HNSCC tumor samples from The Cancer Genome Atlas (TCGA) to investigate the relationship between different HNSCC tumor subsites, hypoxia, and local tumor microbiome composition. Results: A total of 357 patients were included [Oral cavity (OC) = 226, Oropharynx (OPx) = 53, and Larynx/Hypopharynx (LHPx) = 78], of which 12.8%, 71.7%, and 10.3%, respectively, were HPV positive. The mean (SD) hypoxia scores were 30.18 (11.10), 24.31 (14.13), and 29.53 (12.61) in OC, OPx, and LHPx tumors, respectively, with higher values indicating greater hypoxia. The hypoxia score was significantly higher for OC tumors compared to OPx (p = 0.044) and LHPx (p = 0.002). There was no significant correlation between hypoxia and HPV status. Pseudomonas sp. in OC, Actinomyces sp. and Sulfurimonas sp. in OPx, and Filifactor, Pseudomonas and Actinomyces sp. in LHPx had the strongest association with the hypoxia score. Materials/Methods: Tumor RNAseq samples from TCGA were processed, and the R package “tmesig” was used to calculate gene expression signature, including the Buffa hypoxia (BH) score, a validated hypoxia signature using 52 hypoxia-regulated genes. Microbe relative abundances were modeled with primary tumor location and a high vs. low tertile BH score applying a gamma-distributed generalized linear regression using the “stats” package in R, with adjusted p-value < 0.05 considered significant. Conclusions: In our study, oral cavity tumors were found to be more hypoxic compared to other head and neck subsites, which could potentially contribute to their radiation resistance. For each subsite, distinct microbial populations were over-represented in hypoxic tumors in a subsite-specific manner. Further studies focusing on an association between microbiome, hypoxia, and patient outcomes are warranted.

Background: Our study aimed to characterize kidney transplant recipients who received high kidney donor profile index (KDPI) kidneys using unsupervised machine learning approach. Methods: We used the OPTN/UNOS database from 2010 to 2019 to perform consensus cluster analysis based on recipient-, donor-, and transplant-related characteristics in 8935 kidney transplant recipients from deceased donors with KDPI ≥ 85%. We identified each cluster’s key characteristics using the standardized mean difference of >0.3. We compared the posttransplant outcomes among the assigned clusters. Results: Consensus cluster analysis identified 6 clinically distinct clusters of kidney transplant recipients from donors with high KDPI. Cluster 1 was characterized by young, black, hypertensive, non-diabetic patients who were on dialysis for more than 3 years before receiving kidney transplant from black donors; cluster 2 by elderly, white, non-diabetic patients who had preemptive kidney transplant or were on dialysis less than 3 years before receiving kidney transplant from older white donors; cluster 3 by young, non-diabetic, retransplant patients; cluster 4 by young, non-obese, non-diabetic patients who received dual kidney transplant from pediatric, black, non-hypertensive non-ECD deceased donors; cluster 5 by low number of HLA mismatch; cluster 6 by diabetes mellitus. Cluster 4 had the best patient survival, whereas cluster 3 had the worst patient survival. Cluster 2 had the best death-censored graft survival, whereas cluster 4 and cluster 3 had the worst death-censored graft survival at 1 and 5 years, respectively. Cluster 2 and cluster 4 had the best overall graft survival at 1 and 5 years, respectively, whereas cluster 3 had the worst overall graft survival. Conclusions: Unsupervised machine learning approach kidney transplant recipients from donors with high KDPI based on their pattern of clinical characteristics into 6 clinically distinct clusters.