High dimensional proteomic mapping of bone marrow immune characteristics in immune thrombocytopenia.

To investigate the role of co-stimulatory and co-inhibitory molecules on immune tolerance in immune thrombocytopenia (ITP), this study mapped the immune cell heterogeneity in the bone marrow of ITP at the single-cell level using Cytometry by Time of Flight (CyTOF). Thirty-six patients with ITP and nine healthy volunteers were enrolled in the study. As soluble immunomodulatory molecules, more sCD25 and sGalectin-9 were detected in ITP patients. On the cell surface, co-stimulatory molecules like ICOS and HVEM were observed to be upregulated in mainly central memory and effector T cells. In contrast, co-inhibitory molecules such as CTLA-4 were significantly reduced in Th1 and Th17 cell subsets. Taking a platelet count of 30×109 L-1 as the cutoff value, ITP patients with high and low platelet counts showed different T cell immune profiles. Antigen-presenting cells such as monocytes and B cells may regulate the activation of T cells through CTLA-4/CD86 and HVEM/BTLA interactions, respectively, and participate in the pathogenesis of ITP. In conclusion, the proteomic and soluble molecular profiles brought insight into the interaction and modulation of immune cells in the bone marrow of ITP. They may offer novel targets to develop personalized immunotherapies.

ß2-adrenergic receptor agonist corrects immune thrombocytopenia by reestablishing the homeostasis of T cell differentiation.

BACKGROUND: The sympathetic nerve is known to regulate immune responses in autoimmunity. Aberrant T cell immunity plays a vital role in immune thrombocytopenia (ITP) pathogenesis. The spleen is the primary site of platelet destruction. However, little is known whether and how splenic sympathetic innervation and neuroimmune modulation contribute to ITP pathogenesis. OBJECTIVES: To determine the sympathetic distribution in the spleen of ITP mice and the association between splenic sympathetic nerves and T cell immunity in ITP development, and to evaluate the treatment potential of ß2-adrenergic receptor (ß2-AR) in ITP. METHODS: Chemical sympathectomy was performed in an ITP mouse model with 6-hydroxydopamine and treated with ß2-AR agonists to evaluate the effects of sympathetic denervation and activation. RESULTS: Decreased sympathetic innervation in the spleen of ITP mice was observed. Significantly increased percentages of Th1 and Tc1 cells and reduced percentages of regulatory T cells (Tregs) were also observed in ITP mice with chemical sympathectomy (ITP-syx mice) relative to mice without sympathectomy (controls). Expression of genes associated with Th1, including IFN-γ and IRF8, was significantly upregulated, whereas genes associated with Tregs, including Foxp3 and CTLA4, were significantly downregulated in ITP-syx mice compared with controls. Furthermore, ß2-AR restored the percentage of Tregs and increased platelet counts at days 7 and 14 in ITP mice. CONCLUSION: Our findings indicate that decreased sympathetic distribution contributes to ITP pathogenesis by disturbing the homeostasis of T cells and that ß2-AR agonists have potential as a novel treatment for ITP.

[Comparison of Acute Graft-Versus-Host Disease Mouse Models Established by TBI and BU/CY Conditioning Regimens].

OBJECTIVE: To investigate the effect of acute graft-versus-host disease (aGVHD) mouse models established respectively by total body irradiation (TBI) and busulfan combined with cyclophosphamide (BU/CY) conditioning regimens after allogeneic hematopoietic stem cell transplantation (allo-HSCT). METHODS: Bone marrow cells and splenic mononuclear cells were isolated respectively from femur, tibia, and spleen of C57BL/6 male mice (H-2Kb) which were selected as donors. After TBI pretreatment, BALB/c female mice (H-2Kd) were injected with donor bone marrow cells 1×107/50 µl and splenic mononuclear cells 2×107/100 µl through caudal vein, while CB6F1 female mice (H-2Kd/b) with donor bone marrow cells 2×107/100 µl and splenic mononuclear cells 1×108/500 µl after BU/CY pretreatment. The successful establishment of the aGVHD models were determined by post-transplant manifestations, rate of chimerism, target organ damage, etc. Results: After transplantation, mice of both groups showed listlessness, low activity, continued weight loss, and typical manifestations of aGVHD such as alopecia, hunched posture, diarrhea, and anal swelling. and died within 4 weeks. Flow cytometry detection showed complete chimerism in all the mice. Pathological examination of skin, intestines, liver, lung, and spleen tissues showed obvious aGVHD pathological changes. However, the weight loss, ruffled fur, and alopecia combined with severe scurf on those hair-free areas were significantly apparent in TBI group than BU/CY group, as well as higher aGVHD score, and the differences were statistically significant (P<0.05). CONCLUSION: Both TBI and BU/CY as conditioning regimens can successfully establish stable mouse models of aGVHD after fully allo-HSCT and haploidentical HSCT for further research about mechanism of aGVHD. BU/CY conditioning regimen can more truly simulate physiological status in vivo of patients with chemotherapy based conditioning regimen, while TBI conditioning regimen shows significantly more typical aGVHD symptoms and easier to operate.

A prognostic model (BATAP) with external validation for patients with transplant-associated thrombotic microangiopathy.

Transplant-associated thrombotic microangiopathy (TA-TMA) is a potentially life-threatening complication following allogeneic hematopoietic stem cell transplantation (allo-HSCT). Information on markers for early prognostication remains limited, and no predictive tools for TA-TMA are available. We attempted to develop and validate a prognostic model for TA-TMA. A total of 507 patients who developed TA-TMA following allo-HSCT were retrospectively identified and separated into a derivation cohort and a validation cohort, according to the time of transplantation, to perform external temporal validation. Patient age (odds ratio [OR], 2.371; 95% confidence interval [CI], 1.264-4.445), anemia (OR, 2.836; 95% CI, 1.566-5.138), severe thrombocytopenia (OR, 3.871; 95% CI, 2.156-6.950), elevated total bilirubin (OR, 2.716; 95% CI, 1.489-4.955), and proteinuria (OR, 2.289; 95% CI, 1.257-4.168) were identified as independent prognostic factors for the 6-month outcome of TA-TMA. A risk score model termed BATAP (Bilirubin, Age, Thrombocytopenia, Anemia, Proteinuria) was constructed according to the regression coefficients. The validated c-statistic was 0.816 (95%, CI, 0.766-0.867) and 0.756 (95% CI, 0.696-0.817) for the internal and external validation, respectively. Calibration plots indicated that the model-predicted probabilities correlated well with the actual observed frequencies. This predictive model may facilitate the prognostication of TA-TMA and contribute to the early identification of high-risk patients.

Prediction of postpartum hemorrhage in pregnant women with immune thrombocytopenia: Development and validation of the MONITOR model in a nationwide multicenter study.

Globally, postpartum hemorrhage (PPH) is the leading cause of maternal death. Women with immune thrombocytopenia (ITP) are at increased risk of developing PPH. Early identification of PPH helps to prevent adverse outcomes, but is underused because clinicians do not have a tool to predict PPH for women with ITP. We therefore conducted a nationwide multicenter retrospective study to develop and validate a prediction model of PPH in patients with ITP. We included 432 pregnant women (677 pregnancies) with primary ITP from 18 academic tertiary centers in China from January 2008 to August 2018. A total of 157 (23.2%) pregnancies experienced PPH. The derivation cohort included 450 pregnancies. For the validation cohort, we included 117 pregnancies in the temporal validation cohort and 110 pregnancies in the geographical validation cohort. We assessed 25 clinical parameters as candidate predictors and used multivariable logistic regression to develop our prediction model. The final model included seven variables and was named MONITOR (maternal complication, WHO bleeding score, antepartum platelet transfusion, placental abnormalities, platelet count, previous uterine surgery, and primiparity). We established an easy-to-use risk heatmap and risk score of PPH based on the seven risk factors. We externally validated this model using both a temporal validation cohort and a geographical validation cohort. The MONITOR model had an AUC of 0.868 (95% CI 0.828-0.909) in internal validation, 0.869 (95% CI 0.802-0.937) in the temporal validation, and 0.811 (95% CI 0.713-0.908) in the geographical validation. Calibration plots demonstrated good agreement between MONITOR-predicted probability and actual observation in both internal validation and external validation. Therefore, we developed and validated a very accurate prediction model for PPH. We hope that the model will contribute to more precise clinical care, decreased adverse outcomes, and better health care resource allocation.