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Laparoscopic Roux-en-Y gastric bypass (RYGB) is crucial for significant weight reduction and treating obesity-related issues. However, the impact of gastrojejunostomy (GJ) anastomosis diameter on weight loss remains unclear. We investigate this influence on post-RYGB weight loss outcomes. A systematic search was conducted. Six studies met the inclusion criteria, showing varied GJ diameters and follow-up durations (1-5 years). Smaller GJ diameters generally correlated with greater short-to-medium-term weight loss, with a threshold beyond which complications like stenosis increased. Studies had moderate-to-low bias risk, emphasizing the need for precise GJ area quantification post-operation. This review highlights a negative association between smaller GJ diameters and post-RYGB weight loss, advocating for standardized measurement techniques. Future research should explore intra-operative and AI-driven methods for optimizing GJ diameter determination., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Complex gene regulatory mechanisms underlie differentiation and reprogramming. Contemporary single-cell lineage-tracing (scLT) methods use expressed, heritable DNA barcodes to combine cell lineage readout with single-cell transcriptomics. However, reliance on transcriptional profiling limits adaptation to other single-cell assays. With CellTag-multi, we present an approach that enables direct capture of heritable random barcodes expressed as polyadenylated transcripts, in both single-cell RNA sequencing and single-cell Assay for Transposase Accessible Chromatin using sequencing assays, allowing for independent clonal tracking of transcriptional and epigenomic cell states. We validate CellTag-multi to characterize progenitor cell lineage priming during mouse hematopoiesis. Additionally, in direct reprogramming of fibroblasts to endoderm progenitors, we identify core regulatory programs underlying on-target and off-target fates. Furthermore, we reveal the transcription factor Zfp281 as a regulator of reprogramming outcome, biasing cells toward an off-target mesenchymal fate. Our results establish CellTag-multi as a lineage-tracing method compatible with multiple single-cell modalities and demonstrate its utility in revealing fate-specifying gene regulatory changes across diverse paradigms of differentiation and reprogramming., (© 2023. The Author(s).)

Background: Enhanced Recovery After Surgery (ERAS) programs have been widely adopted in bariatric surgery. However, not all patients are successfully managed in the ERAS setting and there is currently little way of predicting the patients who will deviate from the program. Early identification of these patients could allow for more tailored protocols to be implemented preoperatively to address the issues, thereby improving patient outcomes., Objectives: The aim of this study was to elucidate the factors which preclude discharge by comparing patients who were successfully discharged by the end of the first postoperative day (POD 0/1) to those who stayed longer, including revisional surgery in this analysis., Setting: A tertiary, high-volume Bariatric Centre, United Kingdom., Methods: A retrospective analysis was performed of all patients undergoing bariatric surgery in a single centre in 1 year. Multivariate analyses compared patient and operative variables between patients who were discharged on POD 0/1 and those who stayed longer., Results: A total of 288 bariatric operations were performed: 78% of operations performed were laparoscopic Roux-en-Y gastric bypass; 22% laparoscopic sleeve gastrectomy. Of these cases, 13% were revisional operations. Four patients returned to theatre on the index admission. 81% of patients were discharged by POD 0/1. A re-presentation within 30 days was seen in 6% of patients. There was no significant difference in length of stay for the type of operation performed (P = .86). Patients who had a revisional procedure were not more likely to stay longer. Length of stay was also independent of age, BMI, and comorbidities. Caucasian patients were more likely to be discharged on POD 0/1 than those of other ethnicities (90% versus 78%; P = .02). Operations performed by trainee surgeons, under consultant supervision, were significantly more likely to be discharged on POD 0/1 (P = .03). However, a logistic regression analysis was unable to predict patients who had a prolonged stay., Conclusions: Patient length of stay is independent of BMI, operation, and comorbidities and these factors do not need special consideration in ERAS pathways. Patients undergoing revisional procedures can be managed in the same way as those having primary procedures, with a routine POD 0/1 discharge. However, the impact of individual patient factors, and their interaction, is complex and cannot predict overstay., (Crown Copyright © 2023. Published by Elsevier Inc. All rights reserved.)

The aim of this meta-analysis was to compare the effects of LRYGB and LSG on dyslipidemia. Studies comparing the effects of LRYGB and LSG on dyslipidemia with follow-up of 12 months or more were included. Twenty-four studies comprising seven RCTs and 17 comparative observational studies were included. Meta-analysis of RCTs (n=487) showed that improvement/resolution of dyslipidemia was better after LRYGB (68.5%, n=161/235) compared to LSG (48.4%, n=122/252). Patients undergoing LRYGB were more than twice as likely to experience improvement/resolution in dyslipidemia compared to those undergoing LSG (OR 2.28, 95% CI 1.21-4.29, p=0.010). Both LRGYB and LSG appears effective in improving dyslipidemia at >12 months after surgery; however, this improvement is more than twice higher after LRYGB compared to LSG., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

In direct lineage conversion, transcription factor (TF) overexpression reconfigures gene regulatory networks (GRNs) to reprogram cell identity. We previously developed CellOracle, a computational method to infer GRNs from single-cell transcriptome and epigenome data. Using inferred GRNs, CellOracle simulates gene expression changes in response to TF perturbation, enabling in silico interrogation of network reconfiguration. Here, we combine CellOracle analysis with lineage tracing of fibroblast to induced endoderm progenitor (iEP) conversion, a prototypical direct reprogramming paradigm. By linking early network state to reprogramming outcome, we reveal distinct network configurations underlying successful and failed fate conversion. Via in silico simulation of TF perturbation, we identify new factors to coax cells into successfully converting their identity, uncovering a central role for the AP-1 subunit Fos with the Hippo signaling effector, Yap1. Together, these results demonstrate the efficacy of CellOracle to infer and interpret cell-type-specific GRN configurations, providing new mechanistic insights into lineage reprogramming., Competing Interests: Conflict of interests S.A.M. is a co-founder of CapyBio LLC., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)