Redox proteomics of PANC-1 cells reveals the significance of HIF-1 signaling protein oxidation in pancreatic ductal adenocarcinoma pathogenesis.

BACKGROUND: Protein cysteine oxidation is substantially involved in various biological and pathogenic processes, but its implications in pancreatic cancer development remains poorly understood. METHODS AND RESULTS: In this study, we performed a global characterization of protein oxidation targets in PDAC cells through iodoTMT-based quantitative proteomics, which identified over 4300 oxidized cysteine sites in more than 2100 proteins in HPDE6c7 and PANC-1 cells. Among them, 1715 cysteine residues were shown to be differentially oxidized between HPDE6c7 and PANC-1 cells. Also, charged amino acids including aspartate, glutamate and lysine were significantly overrepresented in flanking sequences of oxidized cysteines. Differentially oxidized proteins in PANC-1 cells were enriched in multiple cancer-related biological processes and signaling pathways. Specifically, the HIF-1 signaling proteins exhibited significant oxidation alterations in PANC-1 cells, and the reduced PHD2 oxidation in human PDAC tissues was correlated with lower survival time in pancreatic cancer patients. CONCLUSION: These investigations provided new insights into protein oxidation-regulated signaling and biological processes during PDAC pathogenesis, which might be further explored for pancreatic cancer diagnosis and treatment.

Mutational spectrum for guiding the decision of adjuvant treatment in patients with resected biliary tract carcinoma.

BACKGROUND: Systemic chemotherapy or chemoradiation therapy has proven to be effective in treating advanced biliary tract carcinoma (BTC). However, its efficacy in the adjuvant setting remains controversial. Therefore, this study aimed to determine the prognostic significance of genomic biomarkers in resected BTC and their potential role in stratifying patients for adjuvant treatment. METHODS: We retrospectively reviewed 113 BTC patients who underwent curative-intent surgery and had available tumor sequencing data. Disease-free survival (DFS) was the primary outcome examined and univariate analysis was used to identify gene mutations with prognostic value. Favorable and unfavoratble gene subsets were distinguished from the selected genes through grouping, respectively. Multivariate Cox regression was used to identify independent prognostic factors of DFS. RESULTS: Our results indicated that mutations in ACVR1B, AR, CTNNB1, ERBB3, and LRP2 were favorable mutations, while mutations in ARID1A, CDKN2A, FGFR2, NF1, NF2, PBRM1, PIK3CA, and TGFBR1 were unfavorable mutations. In addition to age, sex, and node positive, favorable genes (HR = 0.15, 95% CI = 0.04-0.48, p = 0.001) and unfavorable genes (HR = 2.86, 95% CI = 1.51-5.29, p = 0.001) were identified as independent prognostic factors for DFS. Out of the 113 patients, only 35 received adjuvant treatment whereas the majority (78) did not. For patients with both favorable and unfavorable mutations undetected, adjuvant treatment showed negative effect on DFS (median DFS: S441 vs. 956 days, p = 0.010), but there was no significant difference in DFS among those in other mutational subgroups. CONCLUSIONS: Genomic testing might be useful in guiding the decisions regarding adjuvant treatment in BTC.

Serum metabolomics study for acute attack of chronic pancreatitis.

BACKGROUND & AIMS: Chronic pancreatitis (CP) is an inflammatory disease characterized by irreversible changes. However, acute CP attacks can lead to various complications and affect patient prognosis. Therefore, this study aimed to identify reliable candidate metabolic biomarkers for diagnosing acute CP attacks and complement candidate diagnostic markers for CP. METHODS: A total of 139 serum specimens were prospectively included in three consecutive exploratory, identification, and validation studies. All samples were analyzed for candidate diagnostic biomarkers and metabolic pathways using a liquid chromatography-mass spectrometer. RESULTS: Serum metabolic profiles differed between patients with CP and non-pancreatic disease controls, and 239 potential metabolic biomarkers for diagnosing CP were identified. Based on identification and validation studies, Diacylglycerol(16:0/18:4), 16-F1-PhytoP, N-(hexacosanoyl)-tetradecasphing-4-enine, carnosic acid, and Auxin b were identified as biomarkers for distinguishing acute attacks from non-acute attacks in patients with CP. The area under the curve of the Diacylglycerol(16:0/18:4) was 0.969 (95% confidence interval, 0.869-1) in the validation study. CONCLUSIONS: To the best of our knowledge, this is the first prospective cohort study to identify and validate a metabolomic signature in serum for diagnosing acute attacks of CP. In addition, our study identified 239 potential biomarkers for CP diagnosis.

Mining biomarkers from routine laboratory tests in clinical records associated with air pollution health risk assessment.

Clinical laboratory in hospital can produce amounts of health data every day. The purpose of this study was to mine biomarkers from clinical laboratory big data associated with the air pollution health risk assessment using clinical records. 13, 045, 629 clinical records of all 27 routine laboratory tests in Changsha Central Hospital, including ALB, TBIL, ALT, DBIL, AST, TP, UREA, UA, CREA, GLU, CK, CKMB, LDL-C, TG, TC, HDL-C, CRP, WBC, Na, K, Ca, Cl, APTT, PT, FIB, TT, RBC and those daily air pollutants concentration monitoring data of Changsha, including PM2.5, PM10, SO2, NO2, CO, and O3 from 2014 to 2016, were retrieved. The moving average method was used to the biological reference interval was established. The tests results were converted into daily abnormal rate. After data cleaning, GAM statistical model construction and data analysis, a concentration-response relationship between air pollutants and daily abnormal rate of routine laboratory tests was observed. Our study found that PM2.5 had a stable association with TP (lag07), ALB (lag07), ALT (lag07), AST (lag07), TBIL (lag07), DBIL (lag07), UREA (lag07), CREA (lag07), UA (lag07), CK (lag 06), GLU (lag07), WBC (lag07), Cl (lag07) and Ca (lag07), (P < 0.05); O3 had a stable association with AST (lag01), CKMB (lag06), TG (lag07), TC (lag05), HDL-C (lag07), K (lag05) and RBC (lag07) (P < 0.05); CO had a stable association with UREA (lag07), Na (lag7) and PT (lag07) (P < 0.05); SO2 had a stable association with TP (lag07) and LDL-C (lag0) (P < 0.05); NO2 had a stable association with APTT (lag7) (P < 0.05). These results showed that different air pollutants affected different routine laboratory tests and presented different pedigrees. Therefore, biomarkers mined from routine laboratory tests may potentially be used to low-cost assess the health risks associated with air pollutants.

Characteristics of ST11 KPC-2-producing carbapenem-resistant hypervirulent Klebsiella pneumoniae causing nosocomial infection in a Chinese hospital.

BACKGROUND: The purpose of our study is to analyze the microbiological and clinical characteristics of carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP) that causes nosocomial infection. METHODS: We collected the carbapenem-resistant K. pneumoniae (CRKP) strains that caused nosocomial infection in a hospital in China and collected the relevant clinical data. We characterized these strains for their antimicrobial and virulence-associated phenotype and genotype and analyzed the clonal relatedness. We screened hypervirulent strains and compared them with non-hypervirulent strains. RESULTS: We retrospectively analyzed 62 CRKP strains that caused nosocomial infection in a tertiary hospital within 1 year, of which 41 (41/62, 66.1%) CRKP were considered as CR-hvKP. All CR-hvKP strains were multi-drug resistance (MDR) and the vast majority of isolates (39/41, 95.1%) were ST11 KPC-2-producing strains. Two hypermucoviscous isolates and 4 capsular types were found in 41 CR-hvKP. Twenty-nine isolates (29/41, 70.7%) showed hypervirulence in Galleria mellonella infection model. PFGE showed that ST11-KL47 CR-hvKP and ST11-KL64 CR-hvKP exhibited a high degree of clonality, while non-hypervirulent strains were not significant. CR-hvKP had higher positive rates of blaKPC-2 and blaCTX-M-65 and higher levofloxacin resistance (p < 0.001, p = 0.005 and p = 0.046, respectively) when compared to the non-hypervirulent strains. There was no significant difference between the two groups in terms of in-hospital mortality (7/41, 17.1% vs 5/21, 23.8%, p = 0.743). CONCLUSION: Our research finds that ST11 KPC-2-producing CR-hvKP is the main type of CRKP that caused nosocomial infection, and clonal spread has occurred. We provide more information about CR-hvKP in health care.

Changes of serum IL-10, IL-1ß, IL-6, MCP-1, TNF-α, IP-10 and IL-4 in COVID-19 patients.

BACKGROUND AND PURPOSE: Studies have shown that some cytokines in COVID-19 patients were elevated. This study aims to assess whether IL-10, IL-1ß, IL-6, MCP-1, TNF-α, IP-10 and IL-4 serve as potential diagnostic biomarkers of COVID-19. METHODS: The above serum cytokines in COVID-19 patients and non-COVID-19 patients were detected by ELISA and SARS-CoV-2 IgM and IgG were detected by the chemiluminescence method. The independent-sample Mann-Whitney U test was utilised to compare cytokine levels in different groups and courses, the Levene T-test and T'-test were utilised to compare they in different genders and the Spearman correlation test was utilised to analyse the correlation between the cytokine levels with ages and SARS-CoV-2 IgG and IgM. RESULTS: Serum levels of IL-10, IL-1ß, MCP-1, TNF-α and IL-4 in COVID-19 patients were significantly higher than those in non-COVID-19 patients, while IL-6 were only significantly higher than in healthy people, IP-10 were significantly lower than in other diseases patients. AUCs of COVID-19 diagnosed by IL-10, IL-1ß, IL-6, MCP-1, TNF-α, IP-10 and IL-4 were 0.735, 0.775, 0.595, 0.821, 0.848, 0.38 and 0.682, respectively. In the COVID-19 patients' serum, the levels of IL-10 and MCP-1 of male were noticeably higher than those of female, and all cytokines were significantly positively correlated with age, IL-1ß and IL-4 were significantly negatively correlated with SARS-CoV-2 IgM, while IL-10, IL-1ß, IL-6, TNF- and IP-10 were significantly negatively correlated with SARS-CoV-2 IgG. IL-10 on 43-56 days was significantly lower than at 29-42 days, TNF-α at 15-42 days was significantly higher than at 0-14 days, IP-10 at 0-14 days was the highest and IL-4 at 29-42 days was significantly higher than at 0-14 days. CONCLUSIONS: The detection of IL-10, IL-1 ß, IL-6, MCP-1, TNF-α and IL-4 would assist the clinical study of COVID-19, and IP-10 may be the cytokine of early elevation in COVID-19 patients.

Alterations of Asymmetric Dimethylarginine (ADMA)-Containing Protein Profiles Associated with Chronic Pancreatitis Pathogenesis.

OBJECTIVE: The pathophysiological mechanisms of chronic pancreatitis (CP) still remain poorly understood. In this study, we aimed to characterize asymmetric dimethylarginine (ADMA)-containing proteins in pancreatic tissues and its relationship with CP pathogenesis. METHODS: Totally 36 patients with CP were enrolled in this study. Seven other cholangiocarcinoma patients without pancreas involvements or patients with benign pancreatic tumors were included as the control group. Total proteins in human pancreatic tissues were digested by trypsin, and ADMA-containing peptides were enriched via immunoaffinity purification. The LC-MS/MS was performed to characterize ADMA-containing peptides and their modification sites in CP tissues. Relative asymmetric arginine dimethylation levels of HNRNPA3 proteins in human pancreatic tissues were detected by the immunoprecipitation combined with Western blot. The serum inflammatory factors were determined via the ELISA method. RESULTS: A total of 134 ADMA sites in the control group and 137 ADMA sites in CP tissues were characterized by mass spectrometry, which belong to 93 and 94 ADMA-containing proteins in the control group and CP tissues, respectively. Glycine and proline residues were significantly overrepresented in the flanking sequences of ADMA sites. ADMA-containing proteins in the CP tissues were associated with various biological processes, especially the RNA metabolism and splicing pathways. Multiple protein members of the spliceosome pathway such as HNRNPA3 possess ADMA sites in the CP tissues. HNRNPA3 dimethylation levels were greatly increased in CP tissues, which were positively correlated with inflammatory factors. CONCLUSION: The pathogenesis of CP is associated with alterations of asymmetric arginine dimethylation in pancreatic tissues.

Proteome-Wide Alterations of Asymmetric Arginine Dimethylation Associated With Pancreatic Ductal Adenocarcinoma Pathogenesis.

Arginine methylation catalyzed by protein arginine methyltransferases (PRMTs) performs essential roles in regulating cancer initiation and progression, but its implication in pancreatic ductal adenocarcinoma (PDAC) requires further elucidation. In this study, asymmetric dimethylarginine (ADMA)-containing peptides in PDAC cell line PANC-1 were identified by label-free quantitative proteomics combined with affinity purification, using human non-cancerous pancreatic ductal epithelium cell line HPDE6c7 as the control. In total, 289 ADMA sites in 201 proteins were identified in HPDE6c7 and PANC-1 cells, including 82 sites with lower dimethylation and 37 sites with higher dimethylation in PANC-1 cells compared with HPDE6c7 cells. These ADMA-containing peptides demonstrated significant enrichment of glycine and proline residues in both cell lines. Importantly, leucine residues were significantly enriched in ADMA-containing peptides identified only in HPDE6c7 cells or showing lower dimethylation in PANC-1 cells. ADMA-containing proteins were significantly enriched in multiple biological processes and signaling cascades associated with cancer development, such as spliceosome machinery, the Wnt/ß-catenin, Hedgehog, tumor growth factor beta (TGF-ß), and mitogen-activated protein kinase (MAPK) signaling pathways. Moreover, PDAC cell lines with enhanced cell viability showed lower PRMT4 protein abundance and global ADMA-containing protein levels compared with HPDE6c7. PRMT4 overexpression partially recovered ADMA-containing protein levels and repressed viability in PANC-1 cells. These results revealed significantly altered ADMA-containing protein profiles in human pancreatic carcinoma cells, which provided a basis for elucidating the pathogenic roles of PRMT-mediated protein methylation in pancreatic cancer.

Altered gut microbiota correlated with systemic inflammation in children with Kawasaki disease.

Kawasaki disease (KD) is a multi-systemic vasculitis of unknown etiology that occurs mainly in children, and the disturbance of gut microbiota is generally believed to cause a hyperimmune reaction triggering KD. The aim of the study was to investigate the alterations in the fecal microbiota and assess its relationship with systemic inflammation. Totally 30 KD children were enrolled and followed up for 6 months, with another group of 30 age- and sex-matched healthy children as controls. Phylotype profiles of fecal microbial communities were analyzed using 16S rRNA gene sequencing. Serum inflammatory markers were detected by flow cytometer. We showed that KD children exhibited a significant reduction in fecal microbial diversity in the acute phase compared with the healthy controls. Enterococcus, Acinetobacter, Helicobacter, Lactococcus, Staphylococcus and Butyricimonas in acute KD children were significantly higher than the healthy children. Levels of systemic inflammation biomarkers, including IL-2, IL-4, IL-6, IL-10, TNF-α, and INF-γ, were significantly elevated in the acute KD children. Altered microbiota genera Enterococcus and Helicobacter abundances were shown to be correlated positively with IL-6, which were never previously reported in KD. This study suggested that gut microbiota alteration is closely associated with systemic inflammation, which provides a new perspective on the etiology and pathogenesis of KD.

Tumour necrosis factor-α and myoglobin associated with the recovery time of coronary artery lesions in Kawasaki disease patients.

AIM: To assess the relationship between clinical parameters and medium term recovery time of coronary artery lesions (CALs). METHODS: In total, 344 Kawasaki disease patients were screened and 311 Kawasaki disease patients were included and followed-up for the next 2 years. Clinical records, clinical parameters and inflammatory biomarkers were collected for all subjects. RESULTS: Tumour necrosis factor (TNF)-α and myoglobin (MYO) levels in patients without recovery from CALs were significantly higher than those without CALs and with recovery from CALs. Kaplan-Meier survival analysis showed that in the high-TNF-α group, the estimated median time to recovery (5.0 months, 95% confidence interval (CI) 1.436-8.564) is significantly longer than the low-TNF-α group (2.00 months, 95% CI: 0.633-3.367, P = 0.044). Also, the estimated median time (5.0 months, 95% CI: 1.836-8.164) in the high-MYO group is significantly longer than the low-MYO group (2.00 months, 95% CI: 0.405-3.595, P = 0.002). Cox regression analysis showed independent factors for recovery of CALs included age, left coronary artery to aortic annulus ratio, TNF-α and MYO levels. CONCLUSIONS: These findings suggest that clinical parameters such as age, left coronary artery to aortic annulus ratio, TNF-α and MYO levels associate with medium term recovery time of CALs and could help in the design of a clinical strategy for the surveillance and prevention of late cardiovascular events.

C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.

COVID-19 has developed into a worldwide pandemic; early identification of severe illness is critical for controlling it and improving the prognosis of patients with limited medical resources. The present study aimed to analyze the characteristics of severe COVID-19 and identify biomarkers for differential diagnosis and prognosis prediction. In total, 27 consecutive patients with COVID-19 and 75 patients with flu were retrospectively enrolled. Clinical parameters were collected from electronic medical records. The disease course was divided into four stages: initial, progression, peak, and recovery stages, according to computed tomography (CT) progress. to mild COVID-19, the lymphocytes in the severe COVID-19 progressively decreased at the progression and the peak stages, but rebound in the recovery stage. The levels of C-reactive protein (CRP) in the severe group at the initial and progression stages were higher than those in the mild group. Correlation analysis showed that CRP (R = .62; P < .01), erythrocyte sedimentation rate (R = .55; P < .01) and granulocyte/lymphocyte ratio (R = .49; P < .01) were positively associated with the CT severity scores. In contrast, the number of lymphocytes (R = -.37; P < .01) was negatively correlated with the CT severity scores. The receiver-operating characteristic analysis demonstrated that area under the curve of CRP on the first visit for predicting severe COVID-19 was 0.87 (95% CI 0.10-1.00) at 20.42 mg/L cut-off, with sensitivity and specificity 83% and 91%, respectively. CRP in severe COVID-19 patients increased significantly at the initial stage, before CT findings. Importantly, CRP, which was associated with disease development, predicted early severe COVID-19.

2019 Novel Coronavirus (COVID-19) Pneumonia with Hemoptysis as the Initial Symptom: CT and Clinical Features.

Recently, some global cases of 2019 novel coronavirus (COVID-19) pneumonia have been caused by second- or third-generation transmission of the viral infection, resulting in no traceable epidemiological history. Owing to the complications of COVID-19 pneumonia, the first symptom and imaging features of patients can be very atypical and early diagnosis of COVID-19 infections remains a challenge. It would aid radiologists and clinicians to be aware of the early atypical symptom and imaging features of the disease and contribute to the prevention of infected patients being missed.

Association between fine particle exposure and common test items in clinical laboratory: A time-series analysis in Changsha, China.

Most studies on the health effects of PM2.5 (fine particulate matter with diameter smaller than 2.5 µm) use indirect indicators, such as mortality and number of hospital visits. Recent research shows that biomarkers can also be used to evaluate the health effects of PM2.5; however, these biomarkers are not very common. Clinical laboratories can provide a significant amount of test data that have been proven to have important diagnostic value. Therefore, we use big data analysis methods to find the associations between clinical laboratory common test items and PM2.5 exposure. Data related to air pollution and meteorological information between 2014 and 2016 were obtained from the China National Environmental Monitoring Centre and the China National Meteorological Information Center. Additionally, data of 27 common test items from the same period were collected from Changsha Central Hospital. Primary analyses included a generalized additive model to analyze the associations between PM2.5 concentration and common test items; the model was adjusted for time trends, weather conditions (temperature and humidity), and days of the week. Furthermore, we adjusted the effects of other air pollutants, such as PM10, SO2, NO2, CO, and O3. 17 items such as TP, ALB, ALT, AST, TBIL, DBIL, UREA, CREA, UA, GLU, LDL, WBC, K, Cl, Ca, TT, and FIB were significantly positively associated with PM2.5 concentration (P< 0.05) and have concentration-response relationship. After adjusting the effect of PM10+SO2+NO2+CO+O3, TP, ALB, ALT, AST, TBIL, DBIL, UREA, CREA, UA, GLU, WBC, Cl, and Ca were still significantly associated with PM2.5 concentration (P< 0.05). This current study suggested that clinical laboratory common test items may be used to assess and predict the health effects of PM2.5 on the population.

Hyperhomocysteinemia Associated with Multiple Organ Failure in Acute Pancreatitis Patients.

OBJECTIVE: This study aimed to evaluate the potential effect of hyperhomocysteinemia on multiple organ failure (MOF) in patients with acute pancreatitis (AP). METHOD: In this cohort study, a total of 1880 AP patients were enrolled and divided into the hyperhomocysteinemia group (study group) and the control group based on serum homocysteine (HCY) levels. Clinical data including demographics, clinical outcomes, and characteristics were collected for analysis. Risk factors of MOF in AP patients were determined by univariate and multivariate logistic regression analyses. RESULTS: The hyperhomocysteinemia group showed higher multiple organ failure rates (31.83% vs 20.77%, P < 0.001), compared with the control group. A positive correlation between homocysteine level and APACHE II score was obtained by Pearson correlation analysis (r = 0.420, P < 0.001), compared with the control group. A positive correlation between homocysteine level and APACHE II score was obtained by Pearson correlation analysis (P < 0.001), compared with the control group. A positive correlation between homocysteine level and APACHE II score was obtained by Pearson correlation analysis (. CONCLUSION: A high serum homocysteine level may be an independent risk factor of multiple organ failure in patients with acute pancreatitis.

Early Systemic Inflammatory Response Syndrome Duration Predicts Infected Pancreatic Necrosis.

BACKGROUND AND PURPOSE: Systemic inflammatory response syndrome (SIRS) was considered to play an important role in the progress of acute pancreatitis, but its specific relation with infected pancreatic necrosis remains largely unclear. We aimed to investigate the correlation between SIRS duration and infected pancreatic necrosis, and its application in prediction of infected pancreatic necrosis. METHODS: A prospective observational cohort study of 2130 patients with acute pancreatitis from 2012 to 2017. The SIRS duration at the first week was registered daily, and demographic, radiology, and all clinical laboratory data were prospectively collected and retrospectively reviewed. RESULTS: A significant upward tendency of infected pancreatic necrosis incidence was observed with increased SIRS duration. In multivariate logistic regression, SIRS duration (odds ratio, 1.305; 95% CI, 1.161-1.468) was independently associated with infected pancreatic necrosis. ROC analysis demonstrated that the areas under curves of SIRS duration for predicting persistent multi-organ failure, pancreatic infection, and mortality were 0.97 (95% CI, 0.96-0.98), 0.92 (95% CI, 0.91-0.94), and 0.86 (95% CI, 0.83-0.90), respectively, which were comparable to, or even greater than, the area under curves of APACHE II and CT severity index scores. CONCLUSIONS: Early SIRS duration was strongly associated with infected pancreatic necrosis and could serve as an easy bedside indicator to predict pancreatic infection.

Extensive protein S-nitrosylation associated with human pancreatic ductal adenocarcinoma pathogenesis.

NO (nitric oxide)-mediated protein S-nitrosylation has been established as one major signaling mechanism underlying cancer initiation and development, but its roles in PDAC (pancreatic ductal adenocarcinoma) pathogenesis still remain largely unexplored. In this study, we identified 585 unique S-nitrosylation sites among 434 proteins in PDAC patients and PANC-1 cell line by a site-specific proteomics. Larger number of S-nitrosylated proteins were identified in PDAC tissues and PANC-1 cells than adjacent non-cancerous tissues. These S-nitrosylated proteins are significantly enriched in a multitude of biological processes associated with tumorigenesis, including carbohydrate metabolism, cytoskeleton regulation, cell cycle, focal adhesion, adherent junctions, and cell migration. Components of the pancreatic cancer pathway were extensively S-nitrosylated, such as v-raf-1 murine leukemia viral oncogene homolog 1 (Raf-1) and Signal transducer and activator of transcription 3 (STAT3). Moreover, NOS (NO synthase) inhibitor significantly repressed STAT3 S-nitrosylation in PANC-1 cells, which caused significant increase of STAT3 phosphorylation and PANC-1 cell viability, suggesting important roles of protein S-nitrosylation in PDAC development. These results revealed extensive protein S-nitrosylation associated with PDAC pathogenesis, which provided a basis for protein modification-based cancer diagnosis and targeted therapy.

Immature granulocytes: A novel biomarker of acute respiratory distress syndrome in patients with acute pancreatitis.

PURPOSE: To investigate the relationship between immature granulocyte percentage (IG%) and acute respiratory distress syndrome (ARDS) in patients with acute pancreatitis (AP). MATERIALS AND METHODS: A cohort of 2289 patients with AP was screened; 1933 were enrolled in this prospective multicenter study. Blood samples for IG% analysis were collected on admission and processed using a hematology analyzer. Demographic, radiological, and clinical laboratory data were prospectively collected and reviewed retrospectively. RESULTS: Increased IG% reflected significant upward tendency of ARDS incidence and severity. Multivariable logistic regression revealed that Acute Physiology and Chronic Health Evaluation (APACHE) II, CT severity index, C-reactive protein, white blood cells, granulocytes, lymphocytes, and IG% (OR 1.297 [95% CI 1.230-1.368]) were independent factors predicting ARDS onset in patients with AP. Receiver operating characteristic curve analysis revealed that area under the curve for APACHE II and IG% were 0.837 (95% CI 0.798-0.876) and 0.821 (95% CI 0.794-0.849), respectively. The combination of APACHE II score and IG% demonstrated excellent predictive power for ARDS incidence. CONCLUSIONS: IG% is a new type of biomarker for ARDS in patients with AP, which may promote timely and efficient identification of individuals at high risk for ARDS in the early stages of disease.

[Predictive value of immature granulocytes for persistent systemic inflammatory response syndrome in patients with acute pancreatitis: analysis of 1 973 cases].

OBJECTIVE: To analyze the clinical value of immature granulocytes in peripheral blood for prediction of persistent systemic inflammatory response syndrome (SIRS) in patients with acute pancreatitis (AP). METHODS: 1 973 patients with AP in Hunan People's Hospital from 2012 to 2017 were retrospectively enrolled and divided by SIRS duration into the persistent SIRS group, temporary SIRS group and non-SIRS group. The independent risk factor for persistent SIRS in AP patients was evaluated by Logistic regression analysis, and predictive value of immature granulocytes for persistent SIRS in AP patients was analyzed by the receiver operating characteristic (ROC) curve. RESULTS: These 1 973 AP patients (1 165 males, 59.0%) with an average age of 49 (40, 60) years old, including 288 persistent SIRS, 189 temporary SIRS and 1 496 non-SIRS cases. There was no significant difference in gender, age and etiology among three groups. Compared with non-SIRS group, more severe symptoms were observed in the temporary and persistent SIRS groups. Moreover, The acute physiology and chronic health evaluation II (APACHE II), CT severity index (CTSI), multiple organ failure (MOF) and acute respiratory distress syndrome (ARDS) incidence, mortality and C-reactive protein (CRP), white blood cell count (WBC), procalcitonin (PCT) and immature granulocytes in persistent SIRS group were further higher than those in the temporary SIRS group [APACHE II: 9 (6, 12) vs. 5 (3, 7), CTSI: 6 (4, 6) vs. 4 (3, 6), MOF incidence: 92.0% vs. 32.8%, ARDS incidence: 39.9% vs. 10.1%, morbidity: 11.1% vs. 4.2%, CRP (mg/L): 25.00 (0.80, 212.25) vs. 0.80 (0.80, 123.50), WBC (×109/L): 15.17±6.78 vs. 14.84±5.86, PCT (g/L): 0.23 (0.10, 1.76) vs. 0.10 (0.10, 0.31), immature granulocytes: 1.95 (0.90, 4.95) % vs. 0.80 (0.40, 2.10) %, all P < 0.05]. Logistic regression analysis showed that besides pancreatic necrosis, WBC and CRP, immature granulocyte was an independent risk factor for persistent SIRS associated with AP [odds ratio (OR) = 1.844, 95% confidence interval (95%CI) = 1.372-2.220]. ROC curve showed that immature granulocytes had better predictive value for persistent SIRS, the area under the curve (AUC) was 0.806, which was significantly higher than the APACHE II (AUC = 0.783), CTSI (AUC = 0.752), PCT (AUC = 0.676), CRP (AUC = 0.677), WBC (AUC = 0.644). The cut-off value of immature granulocyte was 0.65%, the sensitivity was 84.0%, the specificity was 66.3%, the positive predictive value was 62.4%, and the negative predictive value was 76.3%. CONCLUSIONS: Immature granulocyte in peripheral blood is a potential indicator for persistent SIRS in AP patients.

Long-term high air pollution exposure induced metabolic adaptations in traffic policemen.

OBJECTIVE: To assess the adverse physiological changes induced by long-term exposure to PM2.5. METHODS: Totally 183 traffic policemen and 88 office policemen as the control group, were enrolled in this study. The concentrations of PM2.5 in both the working places of traffic and office policemen were obtained. Detailed personal questionnaires and conventional laboratory tests including hematology, fasting blood glucose, blood lipids, liver, kidney, immunity and tumor-related markers were conducted on all participants of this study. RESULTS: A dose-response relationship between the FBG, HDL-c and CEA values and the PM2.5 exposure duration was observed. Multivariate analysis confirmed that one hour on duty outdoor per day for one year was associated with an increase in FBG of 0.005% (95% CI: 0.0004% to 0.009%), CEA of 0.012% (95% CI: 0.006% to 0.017%), and a decrease in HDL-C of 0.001% (95% CI: 0.00034% to 0.002%). CONCLUSION: Long-term high air pollution exposure may lead to metabolism adaptation and it is likely involved in the development of cardiovascular disease and diabetes mellitus.

Long-term exposure to high air pollution induces cumulative DNA damages in traffic policemen.

The specific effects of long-term exposure to high air pollution on human health and biological remain unclear. To explore the adverse health effects as well as biological mechanisms and biomarkers for durative exposure to air pollution, 183 traffic policemen and 88 office policemen were enrolled in this study. The concentration of PM2.5 in both the traffic and office policemen's working environments were obtained. Detailed personal questionnaires were completed and levels of inflammation, oxidative stress and DNA damage markers of all participants were analyzed in this study. The average PM2.5 concentration of the intersections of main roads and the offices of control group were 132.4±48.9µg/m3 and 50.80±38.6µg/m3, respectively. The traffic policemen, who stably exposed to at least 2 times higher PM2.5 in their work area as compared with the control group, have a median average duration of 7.00years, and average cumulative intersection duty time reached 8030h. No statistically significant differences in the levels of inflammation markers were observed between the traffic and office policemen. However, the DNA damage markers in traffic policemen shared significant positive correlation with cumulative intersection duty time and higher than those in the office policemen. Multiple linear regression analysis demonstrated that the increase of cumulative intersection duty time by 1h per day for one year was associated with the increase in 8-hydroxy-20-deoxyguanosine of 0.329% (95% CI: 0.249% to 0.409%), tail DNA of 0.051% (95% CI: 0.041% to 0.061%), micronucleus frequency of 0.036‰ (95% CI: 0.03‰ to 0.043‰), and a decrease in glutathione of 0.482% (95% CI: -0.652% to -0.313%). These findings suggest that long-term exposure to high air pollution could induce cumulative DNA damages, supporting the hypothesis that durative exposure to air pollution is associated with an increased risk of cancer.