Elevated pretreatment serum apolipoprotein E level associated with poor prognosis of patients with COVID-19 during the omicron BA.5 and BF.7 wave.

The SARS-CoV-2 virus is responsible for the human disease known as COVID-19. This virus is capable of generating a spectrum of infections ranging from moderate to severe. Serum apolipoprotein E (ApoE) inhibits inflammation by preserving immune regulatory function. Nonetheless, the relationship between serum ApoE and clinical prognosis in omicron remains elusive. A cohort of 231 patients was observed for 65 days, with death as the primary outcome. Based on their ApoE levels, the patients were categorized into patients with elevated ApoE levels and those with lower ApoE levels. To do statistical comparisons, the log-rank test was utilized, and the Kaplan-Meier method was utilized to estimate survival rates. Cox hazard models, both univariate and multivariate, were employed to examine the prognostic relevance. According to our research, omicron had significantly greater ApoE levels. In mild-to-moderate and severe cases, the study identified a statistically significant variation in ApoE levels. Additionally, there was a drop in overall survival that is statistically significant (OS, p < 0.0001) for patients with greater ApoE levels. Multiple Cox proportional hazards regression analysis indicates that an elevated ApoE level was determined to be an adverse and independent prognostic factor of OS in patients with omicron. Taken together, our study found that the level of serum ApoE at the time of initial diagnosis was substantially connected to the severity and prognosis of omicron. Consequently, we propose that ApoE might be a poor prognostic factor in individuals afflicted with the omicron variant.

The Immunogenicity of CpG, MF59-like, and Alum Adjuvant Delta Strain Inactivated SARS-CoV-2 Vaccines in Mice.

The continuous evolution and mutation of SARS-CoV-2 have highlighted the need for more effective vaccines. In this study, CpG, MF59-like, and Alum adjuvant Delta strain inactivated SARS-CoV-2 vaccines were prepared, and the immunogenicity of these vaccines in mice was evaluated. The Delta + MF59-like vaccine group produced the highest levels of S- and RBD-binding antibodies and live Delta virus neutralization levels after one shot of immunization, while mice in the Delta + Alum vaccine group had the highest levels of these antibodies after two doses, and the Delta + MF59-like and Delta + Alum vaccine groups produced high levels of cross-neutralization antibodies against prototype, Beta, and Gamma strain SARS-CoV-2 viruses. There was no significant decrease in neutralizing antibody levels in any vaccine group during the observation period. CpG, MF59-like, and Alum adjuvant Delta strain inactivated SARS-CoV-2 vaccines excited different antibody subtypes compared with unadjuvanted vaccines; the Delta + CpG vaccine group had a higher proportion of IgG2b antibodies, indicating bias towards Th1 immunity. The proportions of IgG1 and IgG2b in the Delta + MF59-like vaccine group were similar to those of the unadjuvanted vaccine. However, the Delta + Alum vaccine group had a higher proportion of IgG1 antibodies, indicating bias towards Th2 immunity. Antigen-specific cytokine secretion CD4/8+ T cells were analyzed. In conclusion, the results of this study show differences in the immune efficacy of CpG, MF59-like, and Alum adjuvant Delta strain inactivated SARS-CoV-2 vaccines in mice, which have significant implications for the selection strategy for vaccine adjuvants.

Elevated serum beta-2 microglobulin level predicts short-term poor prognosis of patients with de novo acute omicron variant COVID-19 infection.

Background: The devastating coronavirus disease of 2019 (COVID-2019) epidemic has been declared a public health emergency, resulting in a worldwide pandemic. The omicron variety is the most common epidemic mutant strain in the globe. Serum beta-2 microglobulin (ß2-MG) is associated with endothelial cell injury and has value in monitoring the progression of inflammation in infected individuals. Nonetheless, the potential functions of ß2-MG in omicron remain elusive. Methods: To investigate the prognostic value of serum ß2-MG levels at diagnosis, we retrospectively analyzed a cohort of 240 people with omicron. Over the course of 65 days, all patients were monitored, and death was the primary outcome. Patients were allocated to two groups: those with high and low ß2-MG levels. The Kaplan-Meier method was used to examine OS, and the log-rank test was used to compare them. Univariate and multivariate Cox hazard models were used to determine the prognostic significance. Results: Our results revealed that ß2-MG was significantly elevated in omicron. ß2-MG levels in severe patients were higher than in mild-to-moderate patients, and the difference was statistically significant. Timely, interleukin-6 (IL-6) and interleukin-10 (IL-10) were observed to be significantly increased in individuals exhibiting elevated levels of ß2-MG. In addition, patients exhibiting elevated levels of ß2-MG demonstrated a statistically significant decrease in overall survival (OS, P < 0.0001). An elevated ß2-MG level (≥4.72 mg/l) was found to be an independent, adverse prognostic factor for OS in omicron patients, according to multivariate Cox proportional hazards regression analysis (P = 0.001). Conclusion: Serum ß2-MG level at initial diagnosis was significantly correlated with omicron severity and prognosis. Thus, we propose that ß2-MG may be an independent poor additional prognostic factor in patients with omicron.

The efficacy and safety of low-dose temozolomide maintenance therapy in elderly patients with glioblastoma: a retrospective cohort study.

BACKGROUND: Radiotherapy combined with temozolomide chemotherapy (STUPP regimen) is the standard treatment regimen for newly diagnosed glioblastoma (GBM). It is considered feasible to prolong the treatment cycle of temozolomide (TMZ), however, the efficacy and safety of prolonging the treatment cycle of TMZ are still lacking in elderly patients with glioblastoma. This study observed the efficacy and safety of low dose TMZ maintenance therapy in elderly patients with glioblastoma after receiving standard STUPP regimen. METHODS: The clinical data were retrospectively analyzed in 34 patients with glioblastoma aged ≥65 years from April 2017 to April 2021 in Ningbo First Hospital. The patients received conventional radiotherapy (59.4 Gy/28 F/5.5 weeks) and TMZ (75 mg/m2·d) concurrent chemotherapy, followed by sequential TMZ (150-200 mg/m2·d, d1-5, q28d) adjuvant treatment for 6 cycles, and patients with no disease progress or intolerable side effects received low dose TMZ (100 mg/m2·d, d1-5, q28d) maintenance treatment. The patient's progression free survival time (PFS), total survival time (OS) and adverse reactions were observed by telephone, outpatient reexamination and other follow-up methods. Kaplan-Meier method was used to calculate and draw the survival curve for survival analysis. RESULTS: Twenty-four of 34 patients were finally included in the analysis, including 13 males and 11 females (65-74 years old), with a median of 14 cycles (8-38 cycles) of adjuvant TMZ chemotherapy. The median PFS was 11.0 months [95% confidence interval (CI): 8.67-13.33 months] and the median OS was 17.4 months (95% CI: 12.49-22.31 months). The main adverse reactions were digestive tract reactions and hematological toxicity. Three cases of grade III granulocytopenia occurred during the adjuvant treatment, while no grade III or above related adverse reactions occurred during the follow-up TMZ reduction maintenance treatment: leukopenia (5/24), anemia (2/24), decreased blood platelets (2/24), asthenia (5/24), nausea (4/24), and abnormal liver function (3/24). CONCLUSIONS: In general, for elderly patients with good Karnofsky Performance Scale (KPS) scores, further reducing TMZ to maintain chemotherapy after the standard STUPP regimen may improve the PFS and OS to a certain extent, with tolerable adverse reactions and reduced cost. However, prospective randomized grouping study is still needed to determine whether clinical benefits will be achieved.

A clinical prediction model for the presence of brain metastases from colorectal cancer.

BACKGROUND: We conducted this study to explore clinicopathological profiles of brain metastases (BM) and establish a clinical prediction model that predicts the presence of BM in colorectal cancer (CRC) patients. METHODS: Patients with initially diagnosed CRC were reviewed between the year 2010 and 2015. Multiple imputations are used for handling missing values. Prognostic factors were identified by the univariate and multivariate Cox regression model. Univariate and multivariate logistic regression was used to identify the predictive factors for the presence of BM. A nomogram was constructed based on statistically significant risk factors of the presence of BM. The decision curve analysis (DCA) was used to assess the clinical usefulness and net benefits of the nomogram for the presence of BM. RESULTS: Four hundred ninety-five patients with brain metastasis at the initial diagnosis were identified, representing 0.24% of the whole cohort and 0.91% of the metastatic cohort. Multivariable logistic regression demonstrated that young age, positive CEA, adenocarcinoma, lower differentiated grade, presence of liver metastases, presence of lung metastases, and presence of bone metastases were significantly associated with higher risk of developing BM. The decision curve analysis inform clinical decisions were better than a scenario in which all patients or no patients are screened across a wide range of threshold at ≥ 0.027%. CONCLUSIONS: The risk estimates provided by the nomogram can be extremely useful for earlier diagnosis, especially when discussing screening strategy among high-risk patients.

Dual Roles of Lactate in EGFR-TKI-Resistant Lung Cancer by Targeting GPR81 and MCT1.

Lactate is critical in modeling tumor microenvironment causing chemotherapy resistance; however, the role of lactate in tyrosine kinase inhibitor (TKI) resistance has not been fully known. The aim of this study was to evaluate whether lactate could mediate TKI resistance through GPR81 and MCT1 in non-small-cell lung cancer (NSCLC). Here, we showed that lactate enhanced the cell viability and restrained erlotinib-induced apoptosis in PC9 and HCC827 cells. GPR81 and AKT expression were significantly increased with the addition of lactate, and siGPR81 reduced AKT expression resulting in a raised apoptosis rate with erlotinib treatment. Furthermore, we found that lactate also promoted MCT1 exposure, and inhibiting MCT1 with AZD3965 markedly impaired the glycolytic capacity. A significant increase of GPR81 and MCT1 expression was observed in insensitive tissues compared with sensitive ones by immunostaining in NSCLC patients. Our results indicate that lactate adopts dual strategies to promote TKI resistance in NSCLC, not only activating AKT signaling by GPR81, but also giving energy supply through MCT1-mediated input. Targeting GPR81 and MCT1 may provide new therapeutic modalities for TKI resistance in NSCLC.

Corrigendum: The association between normal serum sodium levels and bone turnover in patients with type 2 diabetes.

[This corrects the article DOI: 10.3389/fendo.2022.927223.].

The association between normal serum sodium levels and bone turnover in patients with type 2 diabetes.

Background: Sodium is a critically important component of bones, and hyponatremia has firmly been established as a risk factor associated with the incidence of fragility fractures. However, researches have also revealed that lower serum sodium are linked to reductions in muscle mass and a higher risk of cardiovascular disease even when these levels are within the normal range. Accordingly, this study was developed to examine the relationships between normal serum sodium concentrations and bone turnover in patients with type 2 diabetes (T2D). Methods: Patients with T2D were enrolled in the present study from January 2021 to April 2022. All patients underwent analyses of serum sodium levels, oral glucose tolerance testing (OGTT), bone turnover markers (BTMs), and dual-energy X-ray absorptiometry (DXA) scanning. BTMs included bone formation markers osteocalcin (OC) and N-terminal propeptide of type-I procollagen (PINP), and bone resorption marker C-terminal telopeptide (CTx). Patients were stratified into three subgroups based on the tertiles of their serum sodium concentrations. Results: In total, 372 patients with T2D and sodium levels in the normal range were enrolled in this study. Serum OC and PINP levels were increased from subgroup with the low sodium tertile to that with the high sodium tertile (p for trend < 0.05), whereas CTx level was comparable among the subgroups. A positive correlation was detected between serum sodium levels and both lnOC (r = 0.210, p < 0.001) and lnPINP (r = 0.196, p < 0.001), with these relationships remaining significant even following adjustment for age, sex, body mass index (BMI), and HbA1c. Only after adjusting for these four factors a positive correlation was detected between serum sodium levels and CTx levels (r = 0.108, p < 0.05). Linear regression analyses revealed that following adjustment for potential covariates, serum sodium level was and positively significantly associated with lnOC level (ß = 0.134, t = 2.281, p < 0.05) and PINP level (ß = 0.179, t = 3.023, p < 0.01). Conclusion: These results highlight a significant association between low-normal serum sodium levels and low bone turnover.

The Positive Relationship Between the Low-Density Lipoprotein Cholesterol/Apoprotein B Ratio and Bone Turnover Markers in Patients With Type 2 Diabetes.

Background: Dyslipidemia may contribute to low bone turnover in patients with type 2 diabetes (T2D) through mediating oxidative stress and atherosclerosis. The low-density lipoprotein cholesterol/apoprotein B (LDL-C/Apo B) ratio is a surrogate marker of small and density low-density lipoprotein cholesterol (sd-LDL-C), a most harmful group of LDL-Cs. The present study aimed to investigate the association between the LDL-C/Apo B ratio and bone turnover in patients with T2D. Methods: This study was a cross-sectional study enrolled patients with T2D from January 2021 to December 2021. Each participant was assessed for lipid profiles, bone turnover markers (BTMs), lumbar spine (L1-L4) and hip dual-energy X-ray absorptiometry (DXA) scans. Osteoporosis was diagnosed as a T-score lower than or equal to -2.5 at the spine or hip. Results: A total of 335 patients with T2D were enrolled in the study, and the LDL-C/Apo B ratio ranged from 0.78 to 4.00. Along with the LDL-C/Apo B ratio tertile ascending, osteocalcin (OC), C-terminal telopeptide (CTx) and N-terminal propeptide of type-I procollagen (PINP) levels gradually increased (all p < 0.05). There were no differences in lumbar spine and hip T-score, proportion of osteoporosis (all p > 0.05) among the three subgroups. The LDL-C/Apo B ratio was positively correlated with lnOC (r = 0.244, p < 0.001), lnCTx (r = 0.226, p < 0.01) and lnPINP (r = 0.211, p < 0.001). These significant positive correlations persisted even when divided into male and female subgroups. Furthermore, three multiple linear regression analyses were constructed to investigate the independent association of the LDL-C/Apo B ratio with the BTMs levels. After adjusting for other clinical parameters, the LDL-C/Apo B ratio was still significantly associated with OC level (ß = 0.199, t = 3.348, p < 0.01), CTx level (ß = 0.238, t = 4.084, p < 0.001) and PINP level (ß = 0.162, t = 2.741, p < 0.01). Conclusion: The LDL-C/Apo B ratio was significantly and positively associated with BTMs in patients with T2D. In clinical practice, more attention should be paid to the patients with T2D whose LDL-C/Apo B ratio is relatively low for the purpose of maintaining bone health.

Lactate Transporter SLC16A3 (MCT4) as an Onco-Immunological Biomarker Associating Tumor Microenvironment and Immune Responses in Lung Cancer.

Purpose: Lactate, a marker of tumor metabolic reprogramming, maintains the acidic microenvironment and also affects the metabolism and function of immune cells. SLC16A3 is responsible for the extracellular transport of lactate, which is a key component of glycolysis. However, the role of SLC16A3 in immune infiltration and immunosuppression of lung cancer is largely unknown. Our study explored the therapeutic and prognostic value of SLC16A3 in predicting immune infiltration and immune checkpoint efficacy of lung cancer. Methods: SLC16A3 expression was evaluated with TCGA database. Kaplan-Meier analysis was performed for survival rates. GO and KEEG enrichment was conducted to determine predictive signaling pathways. We utilized TIMER and CIBERSORT to analyze the correlation between SLC16A3 and immunocyte infiltration as well as immune checkpoint. Interleukin and HIF-1a expression was measured with ELISA kit and flow cytometry separately. Results: In comparison with normal tissues, SLC16A3 expression was significantly upregulated in both lung adenocarcinoma (LUAD) and squamous carcinoma (LUSC), which was closely related to poor prognosis. GO analysis indicated that SLC16A3 involved in different signal pathways in LUAD and LUSC and linked to HIF-1 signaling in LUAD. High SLC16A3 was correlated with immunosuppressive cells (Treg, Th2 and iDC), immune checkpoint (PD1, PD-L1, PVR, Tim-3, ITGAM) and immunosuppressive factors (foxp3, TGF-ß) in LUAD not LUSC. Furthermore, SLC16A3 was identified to tightly interact with IL-8 which may induce microenvironment immune tolerance. Based on the clinical prediction, we performed experiments with LUAD A549 cells and showed reduced IL-8 and HIF-1a when treated with SLC16A3 knockdown. HIF-1a stimulation by dimethyloxalylglycine (DMOG) could restore IL-8 secretion in SLC16A3 downregulated cells. Conclusion: Taken together, our results suggest that SLC16A3 contributes to a worse prognosis in lung cancer and may play an important role in immune microenvironment and evasion through HIF-1a-IL8 axis, which could be a novel therapeutic target for immunotherapy in lung cancer.

An Individualized EMT-Related Gene Signature to Predict Recurrence-Free Survival in Stage II/III Colorectal Cancer Patients.

BACKGROUND: Approximately 30% of stage II and 50-60% of stage III colorectal cancer (CRC) patients who have undergone surgery will develop recurrence within 5 years. Thus, more reliable prognostic biomarkers are urgently needed to identify the high-risk subset of patients who will benefit from postoperative adjuvant therapy. METHODS: We retrospectively analyzed 911 stage II/III CRC patients in multiple cohorts. Using a series of bioinformatic and statistical approaches, an individualized prognostic signature was established in the training cohort and validated in four other independent cohorts. An integrated decision tree was generated to improve risk stratification, and a nomogram was built to quantify risk assessment for individual patients. RESULTS: Epithelial-mesenchymal transition (EMT) was identified as a dominant risk factor for recurrence-free survival (RFS) in stage II/III CRC patients. The EMT-related gene signature could discriminate high-risk subsets in a training cohort and four independent validation cohorts (with 473, 89, 130, 74 and 145 patients, respectively). Survival analyses demonstrated that the EMT-related gene signature served as an independent risk factor for RFS in different subgroups. The decision tree could optimize the risk stratification, and the nomogram could predict the 5-year RFS probability accurately. CONCLUSION: The proposed EMT-related prognostic signature is a useful biomarker to predict RFS and identify the high-risk subset in stage II/III CRC patients.

Prognostic value of lactate transporter SLC16A1 and SLC16A3 as oncoimmunological biomarkers associating tumor metabolism and immune evasion in glioma.

Background: Hypoxic microenvironment is immunosuppressive and protumorigenic, and elevated lactate is an intermediary in the modulation of immune responses. However, as critical lactate transporters, the role of SLC16A1 and SLC16A3 in immune infiltration and evasion of glioma is not fully elucidated. Methods: Gene expression in low- and high-grade glioma (LGG and GBM) was evaluated with TCGA database. The TISIDB, TIMER and CIBERSORT databases were utilized for the analysis of the correlation between SLC16A1 or SLC16A3 and immunocyte infiltration as well as immune checkpoints. Results: Compared with normal tissues, a significant increase of both SLC16A1 and SLC16A3 was found in LGG and GBM, and closely related to the poor prognosis only in LGG. Cancer SEA indicated that SLC16A1 was involved in hypoxia while SLC16A3 contributed to metastasis and inflammation in glioma. The SLC16A3 expression was significantly correlated with neutrophil activation by GO analysis. TISCH showed the distribution of SLC16A1 on glioma cells and SLC16A3 on immune cells, which was correlated to tumor-associated macrophages and neutrophils that are immunosuppressive. SLC16A1 and SLC16A3 were identified to tightly interacted with diverse immune checkpoints (especially PD1, PD-L1, PD-L2, Tim-3) and immunosuppressive factors (TGF-ß and IL-10) in glioma. Furthermore, SLC16A3 had a positive correlation to activation markers of tumor-associated neutrophils and chemokines such as CCL2, CCL22, CXCR2, CXCR4 in LGG and CCL7, CCL20 CXCL8 in GBM, which could enhance infiltration of immunosuppressive cells to the tumor microenvironment. Conclusion: In general, our results suggest that SLC16A1 and SLC16A3 act as a bridge between tumor metabolism and immunity by promoting immunosuppressive cell infiltration, which contributes to immune evasion and a worse prognosis in glioma. Targeting SLC16A1 and SLC16A3 may provide novel therapeutic strategy for immunotherapy in glioma.

Establishment and Validation of a Gene Signature-Based Prognostic Model to Improve Survival Prediction in Adrenocortical Carcinoma Patients.

BACKGROUND: The current guideline for the management of adrenocortical carcinoma (ACC) is insufficient for accurate risk prediction to guide adjuvant therapy. Given frequent and severe therapeutic side effects, a better estimate of survival is warranted for risk-specific assignment to adjuvant treatment. We attempted to construct an integrated model based on a prognostic gene signature and clinicopathological features to improve risk stratification and survival prediction in ACC. METHODS: Using a series of bioinformatic and statistical approaches, a gene-expression signature was established and validated in two independent cohorts. By combining the signature with clinicopathological features, a decision tree was generated to improve risk stratification, and a nomogram was constructed to personalize risk prediction. Time-dependent receiver operating characteristic (tROC) and calibration analysis were performed to evaluate the predictive power and accuracy. RESULTS: A three-gene signature could discriminate high-risk patients well in both training and validation cohorts. Multivariate regression analysis demonstrated the signature to be an independent predictor of overall survival. The decision tree could identify risk subgroups powerfully, and the nomogram showed high accuracy of survival prediction. Particularly, expression of a gene hitherto unknown to be dysregulated in ACC, TIGD1, was shown to be prognostically relevant. CONCLUSION: We propose a novel gene signature to guide decision-making about adjuvant therapy in ACC. The score shows unprecedented survival prediction and hence constitutes a huge step towards personalized management. As a secondary important finding, we report the discovery and validation of a new oncogene, TIGD1, which was consistently overexpressed in ACC. TIGD1 might shed further light on the biology of ACC and might give rise to targeted therapies that not only apply to ACC but potentially also to other malignancies.

The association between serum adenosine deaminase levels and Graves' disease.

BACKGROUND: Adenosine deaminase (ADA) is essential for the differentiation and maturation of lymphocytes, while lymphocytes infiltration in thyroid tissue is a vital pathological feature of Graves' disease (GD). The aim of the present study was to compare the concentration of ADA between healthy controls (HC) and patients with GD, and evaluate the association between ADA and GD. METHODS: A total of 112 GD patients and 77 matched HC were enrolled in this study. Each participant was examined for thyroid hormones and autoantibodies, ADA concentration, and thyroid ultrasonography. RESULTS: Serum ADA levels in GD patients were significantly higher than that in HC subgroup (P < 0.001). In GD patients, serum ADA levels were positively associated with serum-free triiodothyronine (FT3), free thyroxine (FT4), thyroid peroxidase antibody (TPOAb), thyroid-stimulating hormone receptor antibody (TRAb) levels, and total thyroid gland volume (thyroid VolT) and negatively associated with serum thyroid-stimulating hormone receptor (TSH) levels (all P < 0.05). There were no similar correlations in the HC subgroup. Multiple linear regression analysis suggested that serum TSH, FT3, and ADA levels played an important role in serum TRAb levels. CONCLUSIONS: Our results demonstrated that serum ADA levels were closely associated with GD.

Serum adenosine deaminase levels are associated with diabetic kidney disease in type 2 diabetic patients.

The aim of the present study was to evaluate the association between adenosine deaminase (ADA) levels and diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D). In this study, patients with T2D who had been screened for DKD were recruited. Patients with an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or a urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g for 3 months were identified as having DKD. The prevalence of DKD was 13.3%, and the range of serum ADA levels was 4-37 U/L. Serum ADA levels were positively associated with cystatin C levels and UACR (r = 0.295 and r = 0.302, respectively, both P < 0.05) and negatively associated with eGFR (r = -0.342, P < 0.05). The proportion of participants with DKD increased significantly from 3.8% in the first tertile (T1) to 13.6% in the second tertile (T2) and 25.9% in the third tertile (T3) of ADA (P for trend < 0.001). After adjusting for clinical risk factors for DKD via multiple logistic regression, the corresponding odds ratios (ORs) of DKD for the participants in T2 and T3 vs those in T1 of ADA were 5.123 (1.282-20.474) and 10.098 (1.660-61.431), respectively. Receiver operating characteristic (ROC) analysis revealed that the optimal cutoff value of ADA to indicate DKD was 10 U/L. Its corresponding sensitivity and specificity were 75.5 and 56.4%, respectively. Our results demonstrated that serum ADA levels were closely associated with DKD and partly reflect the risk of DKD in patients with T2D.

The relationship between adenosine deaminase and heart rate-corrected QT interval in type 2 diabetic patients.

BACKGROUND: Prolonged heart rate-corrected QT (QTc) interval may reflect poor prognosis of patients with type 2 diabetes (T2D). Serum adenosine deaminase (ADA) levels are related to hyperglycemia, insulin resistance (IR) and inflammation, which may participate in diabetic complications. We investigated the association of serum ADA levels with prolonged QTc interval in a large-scale sample of patients with T2D. METHODS: In this cross-sectional study, a total of 492 patients with T2D were recruited. Serum ADA levels were determined by venous blood during fasting. QTc interval was estimated from resting 12-lead ECGs, and prolonged QTc interval was defined as QTc > 440 ms. RESULTS: In this study, the prevalence of prolonged QTc interval was 22.8%. Serum ADA levels were positively associated with QTc interval (r = 0.324, P < 0.0001). The proportion of participants with prolonged QTc interval increased significantly from 9.2% in the first tertile (T1) to 24.7% in the second tertile (T2) and 39.0% in the third tertile (T3) of ADA (P for trend < 0.001). After adjusting for other possible risk factors by multiple linear regression analysis, serum ADA level was still significantly associated with QTc interval (ß = 0.217, t = 3.400, P < 0.01). Multivariate logistic regression analysis showed that female (OR 5.084, CI 2.379-10.864, P < 0.001), insulin-sensitizers treatment (OR 4.229, CI 1.290-13.860, P = 0.017) and ADA (OR 1.212, CI 1.094-1.343, P < 0.001) were independent contributors to prolonged QTc interval. CONCLUSIONS: Serum ADA levels were independently associated with prolonged QTc interval in patients with T2D.

Inverse relationship between serum adenosine deaminase levels and islet beta cell function in patients with type 2 diabetes.

OBJECTIVE: Type 2 diabetes (T2D) is a chronic low-grade inflammatory disease, which characterized by islet beta cell dysfunction. Serum adenosine deaminase (ADA) is an important enzyme that regulates the biological activity of insulin, and its levels are greatly increased in inflammatory diseases with insulin resistance. The present study was designed to explore the relationship between serum ADA levels and islet beta cell function in patients with T2D. METHODS: This cross-sectional study recruited 1573 patients with T2D from the Endocrinology Department of the Affiliated Hospital 2 of Nantong University between 2015 and 2018. All participants were received serum ADA test and oral glucose tolerance test (OGTT). Insulin sensitivity index (assessed by Matsuda index using C-peptide, ISIM-cp), insulin secretion index (assessed by ratio of area under the C-peptide curve to glucose curve, AUCcp/glu) and islet beta cell function (assessed by insulin secretion-sensitivity index 2 using C-peptide, ISSI2cp) were derived from OGTT. And other clinical parameters, such as HbA1c, were also collected. RESULTS: It was showed that HbA1c was significantly increased, while ISIM-cp, AUCcp/glu and ISSI2cp significantly decreased, across ascending quartiles of serum ADA levels. Moreover, serum ADA levels were negatively correlated with ISSI2cp (r = - 0.267, p < 0.001). Furthermore, after adjusting for other clinical parameters by multiple linear regression analysis, serum ADA levels were still independently associated with ISSI2cp (ß = - 0.125, t = - 5.397, p < 0.001, adjusted R2 = 0.459). CONCLUSIONS: Serum ADA levels are independently associated with islet beta cell function in patients with T2D.

Serum stromal cell-derived factor-1 levels are associated with diabetic kidney disease in type 2 diabetic patients.

The present study was designed to explore whether serum stromal cell-derived factor-1 (SDF-1) levels were associated with diabetic kidney disease (DKD). Serum SDF-1 levels were measured by sandwich ELISA. Patients with an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 or a urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g for 3 months were identified as having DKD. Among the recruited type 2 diabetic patients, 18.71% (n = 32) were found to have DKD, and the serum SDF-1 levels of these patients were higher than those of patients without DKD (p < 0.05). Serum SDF-1 levels were positively correlated with cystatin C levels, the UACR and DKD incidence (r = 0.330, 0.183 and 0.186, respectively, p < 0.05) and inversely related to eGFR (r = -0.368, p < 0.001). After adjusting for other clinical covariates by multivariate logistic regression analyses, serum SDF-1 levels were found to be an independent contributor to DKD, and the odds ratio (95% confidence interval) was 1.438 (1.041-1.986). Furthermore, receiver operating characteristic analysis revealed that the optimal SDF-1 cutoff value for indicating DKD was 5.609 ng/mL (its corresponding sensitivity was 82.00%, and specificity was 46.90%). Our results demonstrated that serum SDF-1 levels were closely associated with DKD and could be considered a potent indicator for DKD in patients with T2D.

The Application Value of Spiral CT Lung Densitometry Software in the Diagnosis of Radiation-Induced Lung Injury.

In order to study the application value of spiral CT lung density measurement software in the diagnosis of radioactive lung injury, the average CT values of lung apex, hilum, and diaphragm were measured by Pulmo automatic evaluation software of 16-slice spiral CT in 96 patients with different types of radiation lung injury diagnosed by conventional CT and 80 healthy subjects. The radiation lung injury on CT slices was classified, and the lung density was measured. In 96 patients with different types of radiation lung injury, 56 patients had different degrees of increase in average lung density, which was most obvious in the type of air insufficiency and chronic fibrosis. CT values of lung density in the ground glass stage and patch stage of acute radiation pneumonia had little influence due to the range and time of exposure. The lung density of 35 patients with radiation injury was measured in the normal range. There was a significant difference between normal lung density and abnormal lung density in different types of radiation lung injury (X 2 = 56.718, P < 0.001). The mean lung density of 68 cases was normal and that of 12 cases was abnormal. There was a significant difference in lung density between the lung injury group and the normal group (X 2 = 18.027, P < 0.001). Spiral CT lung density measurement can accurately evaluate the lung density values of different types of radiation lung injury and judge the correlation between lung density and different types of radiation lung injury. It is of great value to diagnose, locate, and master the radiation dose of different types of radiation lung injury.