Metabolic Complications Precede Alloreactivity and Are Characterized by Changes in Suppression of Tumorigenicity 2 Signaling

The impact of pre-transplantation diabetes and obesity on acute graft-versus-host disease, relapse and death after allogeneic hematopoietic cell transplantation: a study from the EBMT Transplant Complications Working Party

Obesity and diabetes can modulate immune responses, which may impact allogeneic HCT outcomes and GvHD. From the EBMT registry, we included 36,539 adult patients who underwent allogeneic HCT for a hematological malignancy between 2016 and 2020. Of these, 5228 (14%) had obesity (BMI ≥ 30 kg/m2), 1415 (4%) had diabetes (requiring treatment with insulin or oral hypoglycemics), and 688 (2%) had obesity + diabetes pre-transplantation. Compared with patients without diabetes or obesity, the hazard ratio (HR) of grade II-IV acute GvHD was 1.00 (95% confidence interval [CI] 0.94-1.06, p = 0.89) for patients with obesity, 0.95 (CI 0.85-1.07, p = 0.43) for patients with diabetes, and 0.96 (CI 0.82-1.13, p = 0.63) for patients with obesity + diabetes. Non-relapse mortality was higher in patients with obesity (HR 1.08, CI 1.00-1.17, p = 0.047), diabetes (HR 1.40, CI 1.24-1.57, p < 0.001), and obesity + diabetes (HR 1.38, CI 1.16-1.64, p < 0.001). Overall survival after grade II-IV acute GvHD was lower in patients with diabetes (HR 1.46, CI 1.25-1.70, p < 0.001). Pre-transplantation diabetes and obesity did not influence the risk of developing acute GvHD, but pre-transplantation diabetes was associated with poorer survival after acute GvHD.

Pretransplantation Plasma ST2 Level as a Prognostic Biomarker of 1-Year Nonrelapse Mortality in Allogeneic Hematopoietic Cell Transplantation

Soluble ST2 is established as a prognostic biomarker of nonrelapse mortality (NRM) when measured early after allogeneic hematopoietic cell transplantation (HCT). However, less is known about the prognostic value of ST2 measured before transplantation. We hypothesized that pretransplantation plasma ST2 level was associated with 1-year NRM and could add to our current prognostic assessment. Moreover, we aimed to investigate the associations between pretransplantation plasma ST2 levels and patient characteristics and other plasma biomarkers and to reproduce previous associations between post-transplantation plasma ST2 levels and outcomes of HCT. We conducted this cohort study of 374 adults who underwent allogeneic HCT at our center between July 2015 and December 2019 (median age, 59 years; 55% with a nonmyeloablative conditioning regimen). ST2 levels were measured by enzyme-linked immunosorbent assay in stored plasma samples obtained at a median of 23 days before HCT and also in samples obtained on days +7 and +14 post-HCT. A logistic regression model of 1-year NRM was fitted using an a priori defined set of covariates consisting of age, Hematopoietic Cell Transplantation-Specific Comorbidity Index (HCT-CI), and conditioning intensity (myeloablative versus nonmyeloablative), to which the pretransplantation ST2 level was added as a variable to assess its incremental prognostic value. Models also were fitted of 1-year all-cause mortality, relapse, and grade II-IV acute graft-versus-host disease (GVHD) for pretransplantation and post-transplantation ST2 levels. The median pretransplantation plasma ST2 level was 20.4 ng/mL (interquartile range, 15.2 to 27.2 ng/mL). Pretransplantation ST2 levels were higher in males compared with females (median, 22.2 ng/mL versus 18.1 ng/mL; P < .001) and were correlated with HCT-CI (Spearman ρ = .18; P < .001), body mass index (ρ = .10; P = .05), and plasma levels of C-reactive protein (ρ = .34; P < .001), creatinine (ρ = .17; P = .001), and albumin (ρ = -.17; P < .001). Pretransplantation ST2 levels added prognostic information about 1-year NRM to age, HCT-CI, and conditioning intensity (adjusted odds ratio [OR] of 1-year NRM per 10 ng/mL increase in ST2, 1.32; 95% confidence interval [CI], 1.05 to 1.65; P = .02). Although adding pretransplantation ST2 levels did not notably improve model discrimination (.674 to .675, ΔAUC = .001), it increased the diversity of the predicted risks (P = .02, likelihood ratio test). Pretransplantation ST2 levels also were prognostic of 1-year all-cause mortality (adjusted OR per 10-ng/mL increase, 1.23; 95% CI, 1.02 to 1.48; P = .03), but not of relapse (P = .47) or acute GvHD (P = .81). Plasma ST2 levels at day +7 were prognostic of 1-year NRM, all-cause mortality, relapse, and acute GVHD, whereas levels at day +14 were prognostic of 1-year NRM and all-cause mortality. Our results show that pretransplantation plasma ST2 levels added prognostic information about 1-year NRM to age, HCT-CI, and conditioning intensity, and suggest that ST2 has potential as a biomarker of pretransplantation vulnerability and should be considered in future developments of prediction models of NRM after allogeneic HCT.

General Rehabilitation Program after Knee or Hip Replacement Significantly Influences Erythrocytes Oxidative Stress Markers and Serum ST2 Levels

The survival of erythrocytes in the circulating blood depends on their membranes' structural and functional integrity. One of the mechanisms that may underlie the process of joint degeneration is the imbalance of prooxidants and antioxidants, promoting cellular oxidative stress. The study is aimed at observing the effects of the 21-day general rehabilitation program on the erythrocytes redox status and serum ST2 marker in patients after knee or hip replacement in the course of osteoarthritis. Erythrocytes and serum samples were collected from 36 patients. We analyzed the selected markers of the antioxidant system in the erythrocytes: catalase (CAT), glutathione reductase (glutathione disulfide reductase (GR, GSR)), total superoxide dismutase activity (SOD), glutathione peroxidase (GPx), glutathione transferase (GST) activity, and cholesterol and lipofuscin (LPS) concentration. In serum, we analyzed the concentration of the suppression of tumorigenicity 2 (ST2) marker. After the 21-day general rehabilitation program, the total SOD and GPx activity, measured in the hemolysates, significantly increased (p < 0.001) while LPS, cholesterol, and ST2 levels in serum significantly decreased (p < 0.001). General rehabilitation reduces oxidative stress in patients after knee or hip replacement in the course of osteoarthritis. Individually designed, regular physical activity is the essential element of the postoperative protocol, which improves the redox balance helping patients recover after the s4urgery effectively.

New-onset post-transplant diabetes mellitus after haploidentical hematopoietic cell transplant with post-transplant cyclophosphamide

Haploidentical hematopoietic cell transplantation (haplo‐HCT) with posttransplant cyclophosphamide (PTCY) is utilized for patients with hematological disorders but without conventional donors. The effects of new‐onset posttransplant diabetes mellitus (PTDM) following haplo‐HCT are unknown. We examined PTDM incidence and outcomes after haplo‐HCT with PTCY. Patients without diabetes receiving haplo‐HCT (n = 64) were analyzed for PTDM diagnosis (defined as blood glucose ≥ 200 mg/dL). By day 100, 14 (22%) patients developed PTDM (median, 18 days). Hyperglycemia (blood glucose ≥ 200 mg/dL) preceded corticosteroids in 11 (79%) individuals. PTDM patients had increased death/relapse (P = .029). PTDM occurs frequently, precedes corticosteroids, and leads to inferior outcomes following haplo‐HCT. PTDM prophylaxis/treatment may improve HCT survival.

Post-haematopoietic cell transplantation outcomes: why ST2 became a 'golden nugget' biomarker

Immunotherapies have emerged as highly promising approaches to treat cancer patients. Allogeneic haematopoietic cell transplantation (HCT) is the most validated tumour immunotherapy available to date but its clinical efficacy is limited by toxicities, such as graft-versus-host disease (GVHD) and treatment resistance leading to relapse. The problems with new cellular therapies and checkpoint inhibitors are similar. However, development of biomarkers post-HCT, particularly for toxicities, has taken off in the last decade and has expanded greatly. Thanks to the advances in genomics, transcriptomics, proteomics and cytomics technologies, blood biomarkers have been identified and validated in promising diagnostic tests, prognostic tests stratifying for future occurrence of GVHD, and predictive tests for responsiveness to GVHD therapy and non-relapse mortality. These biomarkers may facilitate timely and selective therapeutic intervention. This review outlines a path from biomarker discovery to first clinical correlation, focusing on soluble STimulation-2 (sST2) - the interleukin (IL)-33-decoy receptor - which is the most validated biomarker.

Predicting Immuno-Metabolic Complications After Allogeneic Hematopoietic Cell Transplant with the Cytokine Interleukin-33 (IL-33) and its Receptor Serum-Stimulation 2 (ST2)

Patients undergoing allogeneic hematopoietic cell transplantation (HCT) are at risk for numerous acute and long-term complications from this procedure. Post-transplant diabetes mellitus (PTDM) is a common but under-recognized problem. Similar to graft-versus-host disease (GVHD), new-onset diabetes is characterized by immune dysregulation that can negatively impact transplant outcomes. This review will discuss the biology of IL-33/ST2 in acute GVHD and PTDM development, and how this cytokine axis could be leveraged for predicting and treating immuno-metabolic complications after transplant.

New-Onset Post-Transplant Diabetes Mellitus after Allogeneic Hematopoietic Cell Transplant Is Initiated by Insulin Resistance, Not Immunosuppressive Medications

New-onset post-transplant diabetes mellitus (PTDM) occurs frequently after allogeneic hematopoietic cell transplant (HCT). Although calcineurin inhibitors and corticosteroids are assumed to be the cause for hyperglycemia, patients developing PTDM have elevated fasting C-peptide levels before HCT and before immunosuppressive medications. To determine if PTDM results from established insulin resistance present before transplant, we performed oral glucose tolerance tests (OGTTs) and measured whole body, peripheral, and hepatic insulin sensitivity with euglycemic hyperinsulinemic clamps before and 90 days after HLA-identical sibling donor HCT in 20 patients without pretransplant diabetes. HCT recipients were prospectively followed for the development of new-onset PTDM defined as a weekly fasting blood glucose ≥ 126 mg/dL or random blood glucose ≥ 200 mg/dL. During the first 100 days all patients received calcineurin inhibitors, and 11 individuals (55%) were prospectively diagnosed with new-onset PTDM. PTDM diagnosis preceded corticosteroid treatment. During the pretransplant OGTT, elevated fasting (87 mg/dL versus 101 mg/dL; P = .005) but not 2-hour postprandial glucose levels predicted PTDM diagnosis (P = .648). In response to insulin infusion during the euglycemic hyperinsulinemic clamp, patients developing PTDM had lower whole body glucose utilization (P = .047) and decreased peripheral/skeletal muscle uptake (P = .031) before and after transplant, respectively, when compared with non-PTDM patients. Hepatic insulin sensitivity did not differ. Survival was decreased in PTDM patients (2-year estimate, 55% versus 100%; P = .039). Insulin resistance before HCT is a risk factor for PTDM independent of immunosuppression. Fasting pretransplant glucose levels identified PTDM susceptibility, and peripheral insulin resistance could be targeted for prevention and treatment of PTDM after HCT.

Prognostication of clinical outcomes in diabetes mellitus: Emerging role of cardiac biomarkers

Type 2 diabetes mellitus (T2DM) remains substantial health problem and one of the most prevalent metabolic diseases worldwide. The impact of T2DM on CV mortality and morbidity is embedded through a nature evolution of the disease and is modulated by numerous risk factors, such as hypertension, obesity, dyslipidemia. There is large body of evidence regarding use of the cardiac biomarkers to risk stratification at higher CV risk individuals who belongs to general population and cohort with established CV disease. Although T2DM patients have higher incidence of cardiac and vascular complications than the general population, whether cardiac biomarkers would be effective to risk stratification of the T2DM is not fully understood. The aim of the review is to summarize our knowledge regarding clinical implementation of cardiac biomarkers in risk assessment for T2DM patients. The role of natriuretic peptides, soluble ST2, galectin-3, growth differentiation factor-15, and cardiac troponins are widely discussed.

Clinical Proteomics for Post-Hematopoeitic Stem Cell Transplantation Outcomes

Allogeneic hematopoietic stem cell transplantation (HSCT) is the most effective form of tumor immunotherapy available to date. However, while HSCT can induce beneficial graft-versus-leukemia (GVL) effect, the adverse effect of graft-versus-host disease (GVHD), which is closely linked to GVL, is the major source of morbidity and mortality following HSCT. Until recently, available diagnostic and staging tools frequently fail to identify those at higher risk of disease progression or death. Furthermore, there are shortcomings in the prediction of the need for therapeutic interventions or the response rates to different forms of therapy. The past decade has been characterized by an explosive evolution of proteomics technologies, largely due to important advances in high-throughput MS instruments and bioinformatics. Building on these opportunities, blood biomarkers have been identified and validated both as promising diagnostic tools, prognostic tools that risk-stratify patients before future occurrence of GVHD and as predictive tools for responsiveness to GVHD therapy and non-relapse mortality. These biomarkers might facilitate timely and selective therapeutic intervention. This review summarizes current information on clinical proteomics for GVHD as well as other complications following HSCT. Finally, it proposes future directions for the translation of clinical proteomics to discovery of new potential therapeutic targets to the development of drugs.

Biomarkers for Early Complications After Hematopoietic Stem Cell Transplantation

Advances in the field of omics have led to a significant expansion in biomarkers identified for complications after hematopoietic stem cell transplantation (HSCT). Biomarkers can offer an effective method for early identification of a specific disease and can be used to guide therapies. Ongoing investigations to discover biomarkers for acute graft-versus-host disease as well as other post-HSCT complications may improve early diagnosis, prognosis, and the development of new therapeutic targets. The authors review the most recent and validated diagnostic, prognostic, predictive, and response to treatment biomarkers for early complications following HSCT consistent with 2014 NIH consensus on biomarker criteria.

Biomarkers for posttransplantation outcomes

During the last decade, the development of biomarkers for the complications seen after allogeneic hematopoietic stem cell transplantation has expanded tremendously, with the most progress having been made for acute graft-versus-host disease (aGVHD), a common and often fatal complication. Although many factors are known to determine transplant outcome (including the age of the recipient, comorbidity, conditioning intensity, donor source, donor-recipient HLA compatibility, conditioning regimen, posttransplant GVHD prophylaxis), they are incomplete guides for predicting outcomes. Thanks to the advances in genomics, transcriptomics, proteomics, and cytomics technologies, blood biomarkers have been identified and validated for us in promising diagnostic tests, prognostic tests stratifying for future occurrence of aGVHD, and predictive tests for responsiveness to GVHD therapy and nonrelapse mortality. These biomarkers may facilitate timely and selective therapeutic intervention. However, such blood tests are not yet available for routine clinical care. This article provides an overview of the candidate biomarkers for clinical evaluation and outlines a path from biomarker discovery to first clinical correlation, to validation in independent cohorts, to a biomarker-based clinical trial, and finally to general clinical application. This article focuses on biomarkers discovered with a large-scale proteomics platform and validated with the same reproducible assay in at least 2 independent cohorts with sufficient sample size according to the 2014 National Institutes of Health consensus on biomarker criteria, as well as on biomarkers as tests for risk stratification of outcomes, but not on their pathophysiologic contributions, which have been reviewed recently.

The ST2/IL-33 Axis in Immune Cells during Inflammatory Diseases

Il1rl1 (also known as ST2) is a member of the IL-1 superfamily, and its only known ligand is IL-33. ST2 exists in two forms as splice variants: a soluble form (sST2), which acts as a decoy receptor, sequesters free IL-33, and does not signal, and a membrane-bound form (ST2), which activates the MyD88/NF-κB signaling pathway to enhance mast cell, Th2, regulatory T cell (Treg), and innate lymphoid cell type 2 functions. sST2 levels are increased in patients with active inflammatory bowel disease, acute cardiac and small bowel transplant allograft rejection, colon and gastric cancers, gut mucosal damage during viral infection, pulmonary disease, heart disease, and graft-versus-host disease. Recently, sST2 has been shown to be secreted by intestinal pro-inflammatory T cells during gut inflammation; on the contrary, protective ST2-expressing Tregs are decreased, implicating that ST2/IL-33 signaling may play an important role in intestinal disease. This review will focus on what is known on its signaling during various inflammatory disease states and highlight potential avenues to intervene in ST2/IL-33 signaling as treatment options.

Clinical impact of hyperglycemia on days 0-7 after allogeneic stem cell transplantation

In order to clarify the association between hyperglycemia during the early period after allogeneic stem cell transplantation (allo-SCT) and adverse outcomes, we retrospectively analyzed 563 consecutive patients who underwent allo-SCT at our institute between 2008 and 2015. Patients were categorized into three groups according to mean fasting blood glucose levels on days 0-7 (normoglycemia group<110 mg/dL, n=347; mild hyperglycemia group 110-149 mg/dL, n=192 and moderate/severe hyperglycemia group≥150 mg/dL, n=24). The median follow-up was 2.7 years. Patients in the moderate/severe hyperglycemia group had significantly worse characteristics. The cumulative incidences of 2-year non-relapse mortality (NRM) and the probabilities of 2-year overall survival (OS) in the normoglycemia, mild hyperglycemia and moderate/severe hyperglycemia groups were 7.5%, 19% and 29%, respectively (P<0.01), and 69%, 53% and 33%, respectively (P<0.01). In multivariate analyses, hyperglycemia was an independent predictor of high NRM (vs normoglycemia; mild hyperglycemia, hazard ratio (HR) 2.56, 95% confidence interval (CI) 1.56-4.18; moderate/severe hyperglycemia, HR 4.46, 95% CI 1.92-10.3) and poor OS (vs normoglycemia; mild hyperglycemia, HR 1.54, 95% CI 1.14-2.07; moderate/severe hyperglycemia, HR 1.61, 95% CI 0.89-2.91). In conclusion, hyperglycemia on days 0-7 after allo-SCT was associated with inferior outcomes.