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Representative porcine runs
Whole porcine livers were obtained from a local butcher for cost efficiency and perfused for various optimization and testing phases of machine development (Supplementary Table 1). The first 24 h of three representative liver runs are evaluated here (Figure 2). Mean hepatic arterial pressure was 80 mmHg ± 11 mmHg, and mean portal venous pressure was 7.1 mmHg ± 3.3 mmHg with flows of 107 mL/min ± 102 mL/min and 501 mL/min ± 329 mL/min, respectively. The large standard deviations for pressure and flows correlate with the large difference in liver size, with pigs ranging from 50 lbs. to 350 lbs. The dual inflow circuits allow for physiologic oxygen differentials with a mean arterial saturation (SO2) of 95 ± 7.4% compared to mean portal venous SO2 of 85 ± 13% (p < 0.001). The SO2 outflow from the hepatic veins was 74 ± 18%, indicative of oxygen consumption (p < 0.01), and peripheral pH measurements were within physiologic ranges at 7.2 ± 0.09. Additional physiologic parameters such as total hemoglobin (9 ± 2.5 g/dL), hematocrit levels (28.3 ± 6.4%), glucose level (477 ± 15 mg/dL), and changes in lactate (3.0 ± 2.5 mmol) and potassium (-0.77 ± 2.3 mmol) were monitored throughout perfusion by sampling at regular intervals. For porcine perfusions, bile production was indicative of organ viability. The gallbladder was manually drained once the organ became normothermic, and the common bile duct was attached to a small tube for collection. Total bile production throughout perfusion was 41 ± 6.9 mL total, with a rate of 6.9 ± 4.0 mL/h.

Figure 2: Perfusate metrics during porcine liver perfusion (n = 3). (A) Average blood inflow rates (mL/min) of the hepatic artery and portal vein over time. (B) Average blood inflow pressures (mmHg) of the hepatic artery and portal vein over time. (C) Comparison of percent RBC O2 saturation between hepatic artery, portal vein, and inferior vena cava demonstrating oxygen differential between dual inflows and oxygen consumption in the outflow. Statistically significant differences were determined between the portal vein and arterial saturations (p < 0.0001), the portal vein and IVC saturations (p < 0.01), and the arterial and IVC saturations (p < 0.0001). (D) Evaluation of blood pH between hepatic artery, portal vein, and inferior vena cava. (E) Hematocrit (%) and hemoglobin (g/dL) levels (top) throughout perfusion, in addition to change in PV potassium (mmol) (bottom) as a marker of hemolysis. (F) Reservoir glucose levels reflecting mean circuit glucose (mg/dL) throughout perfusion. (G) Change in lactate level (mg/dL) throughout perfusion as compared to time 0 lactate values in hepatic artery inflow, IVC outflow, and system perfusate. (H) Bile production (mL) over time throughout perfusion. Please click here to view a larger version of this figure.
Representative human runs
Three tumor-bearing human hepatic segments were perfused, with perfusion duration time ranging from 48-72 h, depending on the requirements of the experiment (Figure 3). To compare data between representative application runs, we evaluated the first 48 h of biochemical values. Perfusion approximated in vivo parameters with continuous low-pressure, high-volume portal venous inflow and pulsatile high-pressure, low-volume arterial inflow, which are displayed in real-time to allow easy titration. If the liver did not reach physiologic biochemical values within two hours of perfusion, the experiment was terminated. For successful liver perfusions, mean hepatic arterial pressure was 84 mmHg ± 11 mmHg, and mean portal venous pressure was 9 mmHg ± 4 mmHg with flows of 113 mL/min ± 66 mL/min and 317 mL/min ± 302 mL/min, respectively. The dual inflow circuits allow for physiologic oxygen differentials with a mean arterial saturation (SO2) of 98% ± 3% compared to mean portal venous SO2 of 92% ± 7% (p < 0.0001). The SO2 of the outflow from the hepatic veins was 86% ± 9%, indicative of oxygen consumption (p < 0.0001), and pH measurements across the system were within physiologic ranges at 7.3 ± 0.09. Additional physiologic parameters such as total hemoglobin (10.2 g/dL ± 1.6 g/dL), hematocrit levels (30.2% ± 5.5%), glucose level (170 mg/dL ± 68 mg/dL), and changes in lactate (3.6 mmol/L ± 2.2 mmol/L) were monitored throughout perfusion by sampling at regular intervals. In a representative run, an average of 1.4 mL/h of bile was produced. Prior to and at the termination of perfusion experiments, biopsies were obtained for tissue analysis. Representative tissue sections demonstrate hepatic parenchyma, metastatic neuroendocrine tumor, and metastatic colorectal adenocarcinoma after perfusion.

Figure 3: Perfusate and tissue metrics during human liver segment(s) perfusion (n = 3). (A) Mean perfusate inflow rate (mL/min) for the hepatic artery and portal vein. (B) Mean perfusate inflow pressure (mmHg) for the hepatic artery and portal vein over time. (C) Red blood cell oxygen saturation (%) for the inflow hepatic artery, inflow portal vein, and outflow hepatic vein. Statistically significant differences were determined between the portal vein and arterial saturations (p < 0.0001), the portal vein and IVC saturations (p < 0.0001), and the arterial and IVC saturations (p < 0.0001). (D) Perfusate pH for the inflow hepatic artery, inflow portal vein, and outflow hepatic vein. (E) Red blood cell metrics throughout perfusion, including mean hematocrit (%) and hemoglobin (g/dL) perfusate levels (top) with change in perfusate potassium (mmol) from baseline over time (bottom). (F) Mean glucose concentration (mg/dL) for the inflow hepatic artery, inflow portal vein, and outflow hepatic vein over time. (G) Change in perfusate lactate concentration (mg/dL) from baseline over time for the inflow hepatic artery, outflow hepatic vein, and systemic perfusate. (H) Bile production (mL) over time. (I) Human liver segments (Couinaud II-IV) during (left) and post perfusion (right) demonstrating lack of pressure necrosis after system optimization. Superficial area of cauterization present at the top of the left image due to intraoperative hemostasis. (J) Post-perfusion tissue section demonstrating hepatic parenchyma (hematoxylin and eosin stain, 10x, inset 40x; scale bar 50 µM). (K) Post-perfusion tissue section demonstrating metastatic neuroendocrine tumor (hematoxylin and eosin stain, 10x, inset 40x; scale bar 250 µM). (L) Post-perfusion tissue section demonstrating metastatic colorectal adenocarcinoma (hematoxylin and eosin stain, 10x, inset 40x; scale bar 50 µM). Please click here to view a larger version of this figure.
Representative application: CT imaging of perfused specimen
The ability to integrate clinical data sources such as computed tomography (CT) or magnetic resonance (MR) imaging with pathology stands to advance personalized diagnostics and medicine. However, pathology reports are summary findings, and the heterogeneity inherent to solid tumors far exceeds human capabilities for delineation. A potential solution is to perform imaging ex vivo followed by immediate preparation of macroscale tissue sections to allow for radiomic integration of spatially preserving cellular data (e.g., spatial transcriptomics, highly multiplex immunofluorescence). To accommodate conventional imaging on the system, a mobile set-up was constructed, including transitioning pumps to an external battery source to provide undisrupted power during transport and imaging (Figure 4A). With the liver on the CT table, iodinated contrast was administered, and images were obtained, which demonstrate consistent radiographic features with those acquired in vivo (Figure 4B).
Representative application: Kidney and pancreas perfusion
Innate to its design, the system is adaptable to the perfusion of additional organs (Figure 4C-F), which obviates the need for dual inflow and thereby decreases the per-use costs. To demonstrate, we removed the portal venous circuit for a single arterial inflow (Supplementary Figure 2) and perfused a human kidney (Figure 4C) and a human partial pancreas (Figure 4E). Representative tissue sections following perfusion demonstrate glomeruli (Figure 4D) and Islets of Langerhans (Figure 4F).

Figure 4: Representative application of perfusion machines: CT imaging and organ modularity. (A) Mobile adaptation of the system for transport. (B) Representative CT images of the liver with tumor after administration of iodinated contrast in vivo (top) and ex vivo after perfusion (bottom). (C) Human kidney perfusion on the reconfigured machine for single inflow. (D) Post-perfusion tissue section demonstrates renal glomeruli and collecting ducts (hematoxylin and eosin stain, 8x; scale bar 250 µm). (E) Human distal pancreas perfusion on the reconfigured machine for single inflow. (F) Post-perfusion tissue section demonstrates pancreatic islets (hematoxylin and eosin stain, 8x; scale bar 250 µm). Please click here to view a larger version of this figure.
Supplementary Figure 1: Python code settings to facilitate semi-automated perfusion. Schematic depicting input and output parameters utilized by the code enabling semi-automation with the addition of commonly employed manual adjustments (Table). Please click here to download this File.
Supplementary Figure 2: Single inflow schematic used for kidney and pancreas perfusion. P/F Sensor: Pressure and flow sensors. Please click here to download this File.
Supplementary Figure 3: Red blood cell optimization. (A) Blood-only perfusion experiment demonstrated significantly less hemolysis in low RPM conditions compared to high RPM conditions (p < 0.01) using plasma-free hemoglobin as a surrogate for cell lysis. (B) Qualitative comparison of plasma hemolysis over time visually demonstrates less hemolysis in low RPM states when compared to high RPM states. (C-F) Evaluating hemolysis in systems with differing levels of resistance and basin integration with plasma surrogates: (C) A significant difference in lactate levels was determined between the parallel circuit set-up and both the closed and basin set-up (p < 0.0001 and p < 0.0001, respectively). (D) A significant difference in potassium levels was determined between the parallel circuit set-up and both the series closed and series with basin set-up (p < 0.0001 and p < 0.0001, respectively). (E) A significant difference in hematocrit levels was determined between the parallel circuit set-up and both the series closed and series with basin set-up (p < 0.0001 and p < 0.0001, respectively). (F) A significant difference in hemoglobin levels was determined between the parallel circuit set-up and series closed and series with basin set-up (p < 0.0001 and p < 0.0001, respectively). Please click here to download this File.
Supplementary Table 1: Porcine organ optimization perfusions. Thirty-five porcine perfusion experiments performed during optimization phases, including 25 partial livers, 2 kidneys, and 8 whole livers. Included are the duration of perfusion and the reason for termination. Please click here to download this File.
Supplementary Table 2: Human liver validation and application perfusions. Fourteen human partial liver perfusions, including formal left and right hepatectomies spanning to single-segment perfusion experiments. Included are pathology, experimental aim, perfusion duration, and rationale for termination. Please click here to download this File.
Supplementary Table 3: Perfusate-only optimization. Twenty-two perfusate-only optimization runs, including species type, experimental aim, duration of experiment, and reason for termination. Please click here to download this File.