Aim: Remote ischemic preconditioning (RIPC) has been used as a strategy to reduce acute renal injury and ischemia-reperfusion injury (IRI) in renal transplantation (RT) with controversial results. Objective: To determine if RIPC modifies IRI in cadaveric RT recipients through inflammatory mediators and graft function. Methods: Twenty-nine RT recipients were studied, 12 in the control group (CG) and 17 in the RIPC group. RIPC which was performed on donors using a pneumatic tourniquet placed on both thighs for 10 min followed by the determination of IL-1, IL-6, TNF-α, VEGF, and ICAM-1, and hematological and biochemical parameters in different phases of RT. Results: Serum creatinine levels were significantly lower in the RIPC group versus the CG at 15 and 30 days; however, the estimated glomerular filtration rate (eGFR) showed no significant difference in any phase between either group, only TNF-α showed significantly higher values in the RIPC group versus the CG in almost all phases of the study, meanwhile IL6 was increased at 72 hours (hr) and 30 days, IL1 at 72 hr and 15 days and ICAM-1 post reperfusion, contrary to this VEGF showed a decrease at 7 and 15 days. Conclusion: RIPC did not improve eGFR or serum creatinine; however, it modifies the inflammatory response in RT recipients.

Machine learning (ML) has an impressive capacity to learn and analyze a large volume of data. This study aimed to train different algorithms to discriminate between healthy and pathologic corneal images by evaluating digitally processed spectral-domain optical coherence tomography (SD-OCT) corneal images. A set of 22 SD-OCT images belonging to a random set of corneal pathologies was compared to 71 healthy corneas (control group). A binary classification method was applied where three approaches of ML were explored. Once all images were analyzed, representative areas from every digital image were also extracted, processed and analyzed for a statistical feature comparison between healthy and pathologic corneas. The best performance was obtained from transfer learning—support vector machine (TL-SVM) (AUC = 0.94, SPE 88%, SEN 100%) and transfer learning—random forest (TL- RF) method (AUC = 0.92, SPE 84%, SEN 100%), followed by convolutional neural network (CNN) (AUC = 0.84, SPE 77%, SEN 91%) and random forest (AUC = 0.77, SPE 60%, SEN 95%). The highest diagnostic accuracy in classifying corneal images was achieved with the TL-SVM and the TL-RF models. In image classification, CNN was a strong predictor. This pilot experimental study developed a systematic mechanized system to discern pathologic from healthy corneas using a small sample.

Introduction. Ischemia/reperfusion (IR) injury, often associated with liver surgery, is an unresolved problem in the clinical practice. Spironolactone is an antagonist of aldosterone that has shown benefits over IR injury in several tissues, but its effects in hepatic IR are unknown. Objective. To evaluate the effect of spironolactone on IR‐induced damage in liver. Materials and Methods. Total hepatic ischemia was induced in rats for 20 min followed by 60 min of reperfusion. Spironolactone was administered and hepatic injury, cytokine production, and oxidative stress were assessed. Results. After IR, increased transaminases levels and widespread acute inflammatory infiltrate, disorganization of hepatic hemorrhage trabeculae, and presence of apoptotic bodies were observed. Administration of SPI reduced biochemical and histological parameters of liver injury. SPI treatment increased IL‐6 levels when compared with IR group but did not modify either IL‐1β or TNF‐α with respect to IR group. Regarding oxidative stress, increased levels of catalase activity were recorded in IR + SPI group in comparison with group without treatment, whereas MDA levels were similar in IR + SPI and IR groups. Conclusions. Spironolactone reduced the liver damage induced by IR, and this was associated with an increase in IL‐6 production and catalase activity.

El preacondicionamiento isquémico remoto (PIR) en trasplante hepático ha sido sugerido en el ámbito experimental como estrategia para disminuir la lesión por isquemia- reperfusión. Evaluar el efecto del PIR sobre el injerto hepático en donante cadáver y el impacto de diversos mediadores inflamatorios en este proceso. Se incluyeron 10 receptores de trasplante hepático, 5 controles y 5 con PIR, el cual fue realizado en los donantes cadavéricos mediante la aplicación de un torniquete neumático en ambos muslos por 10 minutos seguido de 10 minutos de reperfusión. Se determinaron interleucina (IL)-1, IL-6, factor de necrosis tumoral alfa (FNT-α), factor de crecimiento endotelial vascular (FCEV) y molécula de adhesión intracelular (ICAM)-1, parámetros hematológicos y bioquímicos en diversas fases del trasplante hepático. Se observó un aumento significativo de la aspartato aminotransferasa (AST), la alanino aminotransferasa (ALT) y la fosfatasa alcalina en las fases tempranas tras el trasplante hepático, y a las 72 horas los sujetos con PIR mostraron mejor respuesta, con recuperación de plaquetas, que persistió hasta los 3 meses en este grupo. La IL-6 participa en las fases tempranas de la lesión por isquemia- reperfusión, contrario al FNT-α, que se incrementa hasta el día 7, mientras que la ICAM-1 aumentó en todas las fases. En este estudio piloto, el PIR disminuyó el daño por lesión por isquemia- reperfusión, aunque el mayor efecto se observó después de 72 horas. Remote ischemic preconditioning (RIP) in liver transplantation has been suggested experimentally as a strategy to reduce ischemia-reperfusion injury. Evaluate the effect of RIP on liver graft in cadaveric donors and the impact of various inflammatory mediators in this process. Ten liver transplantation recipients, 5 controls and 5 PIR, were made in the cadaver donors by applying a pneumatic tourniquet in the upper third of both thighs for a period of 10 minutes followed by 10 minutes reperfusion. The determination of interleukine (IL)-1, IL-6, tumor necrosis factor alpha (TNF-α), vascular endothelial growth factor (VEGF), intracellular adhesion molecule (ICAM)-1 was performed as well as hematological and biochemical parameters at various stages of liver transplantation. Significant increase of aspartate aminotransferase (AST), alanine aminotransferase (ALT) and alkaline phosphatase in the early stages of post-liver transplantation were observed, after 72 hours subjects who received liver transplantation subjected to RIP they showed a better response, which was also evident in platelet recovery, which persisted until phase 3 months in this group. IL-6 appears to participate in the early stages of the ischemia-reperfusion injury, contrary to TNF-α that increases until day 7 while ICAM-1 was increased in all phases. In this pilot study the PIR decreased the damage by ischemia-reperfusion injury, although the greatest effect was observed after 72 hours.

Machine learning (ML) has a large capacity to learn and analyze a large volume of data. This study aimed to train different algorithms to discriminate between healthy and pathologic corneal images by evaluating digitally processed spectral-domain optical coherence tomography (SD-OCT) corneal images. A set of 22 SD-OCT images belonging to a random set of corneal pathologies was compared to 71 healthy corneas (control group). A binary classification method was applied; three approaches of ML were used. Once all images were analyzed, representative areas from every digital image were also processed and analyzed for a statistical feature comparison between healthy and pathologic corneas. The best performance was obtained from transfer learning - support vector machine (TL-SVM) (AUROC = 0.94, SPE 88%, SEN 100%) and transfer learning – random forest (TL- RF) method (AUROC = 0.92, SPE 84%, SEN 100%), followed by convolutional neural network (CNN) (AUROC = 0.84, SPE 77%, SEN 91%) and random forest (AUROC = 0.77, SPE 60%, SEN 95%). The highest diagnostic accuracy in classifying corneal images was achieved with the TL-SVM and the TL-RF models. In image classification, CNN was a strong predictor. This pilot experimental study developed a systematic mechanized system to discern pathologic from healthy corneas.

Central cloudy dystrophy of François (CCDF) is a rare corneal dystrophy characterized by bilateral, symmetric, gray, cloudlike lesions in the central posterior stroma. Diagnosis relies on detailed family history and careful slit-lamp examination to differentiate it from Vogt posterior crocodile shagreen. We describe 5 female siblings from two families (mean age, 58.5 years) with typical bilateral lesions consistent with CCDF. Very few cases of CCDF have been reported, and its pathophysiology and relationship to other corneal stromal dystrophies or degenerations remain poorly understood. These 5 cases constitute the second-largest series and the first documented reports of CCDF in the Mexican population, supported by representative illustrations and accompanied by a comprehensive literature review.