Serum Sulfur-Containing Amino Acids and Risk of Maternal Gestational Diabetes and Adverse Growth Patterns in Offspring.

BACKGROUND: To estimate associations of sulfur-containing amino acids (SAAs) in the early trimester of pregnancy and gestational diabetes mellitus (GDM) and estimate associations of maternal SAAs with adverse growth patterns in offspring. METHODS: We established a 1:1 matched case-control study (n = 486) from our cohort of pregnant women, and 401 children were followed up at ages 1 to 8 years. We conducted binary conditional logistic regression to estimate the risk associations of serum SAAs with GDM. Multinomial logistic regression was implemented to explore associations of maternal SAAs with adverse growth patterns in the offspring. RESULTS: High serum methionine and cystine were independently associated with increased GDM risk (OR: 1.92, 95%CI: 1.18-3.13 and 2.69, 1.59-4.53). Conversely, a low level of serum taurine was independently associated with increased GDM risk (2.61, 1.64-4.16). Maternal high cystine and low taurine were also associated with an increased risk of persistent obesity growth pattern (POGP) in offspring (OR: 2.79, 95%CI: 1.09-7.17 and 3.92, 1.11-13.89) and the effect was largely independent of GDM. CONCLUSIONS: High serum methionine, cystine and low serum taurine in the early trimester of pregnancy were associated with a greatly increased risk of GDM. Maternal high cystine and low taurine were associated with elevated risk of offspring POGP, largely independent of GDM.

Increased Gestational Weight Gain is Associated with a Higher Risk of Offspring Adiposity Before Five Years of Age: A Population-Based Cohort Study.

Objective: We aim to investigate the influence of weight gain during pregnancy on the risk of offspring adiposity before five years old. Methods: We retrospectively collected health information from the Tianjin mother-child cohort. Offspring outcome was BMI Z-score and prevalence of childhood adiposity from 0.5-5 years old. Gestational weight gain was analyzed using continuous and categorical variables evaluated by the IOM guidelines. Multivariate analysis adjusted maternal age, prepregnancy BMI, maternal height, smoking, cesarean section, gestational age at birth, birth weight, birth length, and mode of infant feeding during 0-6 months. Results: Gestational weight gain contributed to offspring's BMI Z-score from 1-5 years old, and the effect was most obvious in the first half of pregnancy (multivariate analysis, at 1, 2, 2.5, 3, 4, and 5 years of age: ß 0.011, 95% CI 0.008-0.014; ß 0.017, 95% CI 0.015-0.020; ß 0.005, 95%CI 0.002-0.008; ß 0.018, 95% CI 0.015-0.021; ß 0.014, 95% CI 0.009-0.020; ß 0.013, 95% CI 0.005-0.021). Excessive weight gain was associated with a higher prevalence of offspring adiposity before five years, even if prepregnancy BMI is normal. Multivariate regression analysis further confirmed that excessive weight gain during the first half of pregnancy significantly increased the risk of childhood obesity at aged one and three (AOR 1.083, 95% CI 1.003-1.169; AOR 1.158, 95% CI 1.036-1.293). Conclusion: Offspring have a higher risk of preschool adiposity when gestational weight gain was excessive during the first half of pregnancy.

Interactions between Prepregnancy Overweight and Passive Smoking for Macrosomia and Large for Gestational Age in Chinese Pregnant Women.

INTRODUCTION: Previous analysis showed that passive smoking and overweight were associated with an increased risk of gestational diabetes mellitus (GDM) in a synergistic manner, while GDM increased the risk of macrosomia/large for gestational age (LGA). This study aimed to examine any interactive effects between passive smoking and overweight/obesity on risk of macrosomia/LGA. METHODS: From 2010 to 2012, 22,302 pregnant women registered for pregnancy at a primary hospital in Tianjin, China. Data were collected longitudinally; that is, from their first antenatal care visit, at the glucose challenge test (GCT) time (24-28 weeks of gestation) and at delivery. Passive smoking was self-reported. Macrosomia was defined as birth weight ≥4,000 g. Binary logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction was used to test the synergistic effect. RESULTS: Passive smokers accounted for 57.4% of women (n = 8,230). Using nonpassive smoking and prepregnancy body mass index (BMI) <24.0 kg/m2 as the reference, the adjusted ORs of overweight alone and passive smoking alone for macrosomia were 2.39 (95% CI: 2.11-2.71) and 1.17 (95% CI: 1.04-1.32). Copresence of passive smoking and prepregnancy BMI ≥24.0 kg/m2 increased the OR to 2.70 (95% CI: 2.28-3.20), with a significant additive interaction. After further adjustment for GDM or GCT, the OR of copresence of both risk factors was slightly attenuated to 2.52 (2.13-3.00) and 2.51 (2.11-2.98), with significant additive interaction. However, the additive interaction between prepregnancy overweight/obesity and passive smoking for LGA was nonsignificant. CONCLUSIONS: Prepregnancy overweight/obesity was associated with an increased risk of macrosomia in Chinese women synergistically with passive smoking during pregnancy, and most of the association was not modified by hyperglycemia during pregnancy.

Genetic characteristics and follow-up of patients with fatty acid ß-oxidation disorders through expanded newborn screening in a Northern Chinese population.

Background Fatty acid ß-oxidation disorders (FAODs) include more than 15 distinct disorders and have a wide variety of symptoms, usually not evident between episodes of acute decompensation. After the introduction of newborn screening (NBS) using tandem mass spectrometry (MS/MS), early identification of FAODs has become feasible. We analyzed the MS/MS results in Tianjin, China during a six-year period to evaluate the incidence, disease spectrum, and genetic characteristics of FAODs. Methods We analyzed the MS/MS results for screening FAODs from May 2013 to December 2018 in Tianjin, China. Infants with positive screening results were confirmed through next-generation sequencing and validated by Sanger sequencing. Results A total of 220,443 infants were screened and 25 FAODs patients were identified (1:8,817). Primary carnitine deficiency (PCD) with an incidence rate up to 1:20,040 was the most common disorder among all FAODs. Recurrent mutations of relatively common diseases, like PCD and short-chain acyl-CoA dehydrogenase deficiency (SCADD), were identified. During the follow-up, two patients suffered from sudden death due to carnitine palmitoyl transferase-Ⅱ deficiency (CPT Ⅱ) and very-long-chain acyl-CoA dehydrogenase deficiency (VLCAD). Conclusion Our data indicated that FAODs are relatively common in Tianjin and may even cause infant death in certain cases. The elucidated disease spectrum and genetic backgrounds elucidated in this study may contribute to the treatment and prenatal genetic counseling of FAODs.

Development and validation of an early pregnancy risk score for the prediction of gestational diabetes mellitus in Chinese pregnant women.

OBJECTIVE: To develop and validate a set of risk scores for the prediction of gestational diabetes mellitus (GDM) before the 15th gestational week using an established population-based prospective cohort. METHODS: From October 2010 to August 2012, 19 331 eligible pregnant women were registered in the three-tiered antenatal care network in Tianjin, China, to receive their antenatal care and a two-step GDM screening. The whole dataset was randomly divided into a training dataset (for development of the risk score) and a test dataset (for validation of performance of the risk score). Logistic regression was performed to obtain coefficients of selected predictors for GDM in the training dataset. Calibration was estimated using Hosmer-Lemeshow test, while discrimination was checked using area under the receiver operating characteristic curve (AUC) in the test dataset. RESULTS: In the training dataset (total=12 887, GDM=979 or 7.6%), two risk scores were developed, one only including predictors collected at the first antenatal care visit for early prediction of GDM, like maternal age, body mass index, height, family history of diabetes, systolic blood pressure, and alanine aminotransferase; and the other also including predictors collected during pregnancy, that is, at the time of GDM screening, like physical activity, sitting time at home, passive smoking, and weight gain, for maximum performance. In the test dataset (total=6444, GDM=506 or 7.9%), the calibrations of both risk scores were acceptable (both p for Hosmer-Lemeshow test >0.25). The AUCs of the first and second risk scores were 0.710 (95% CI: 0.680 to 0.741) and 0.712 (95% CI: 0.682 to 0.743), respectively (p for difference: 0.9273). CONCLUSION: Both developed risk scores had adequate performance for the prediction of GDM in Chinese pregnant women in Tianjin, China. Further validations are needed to evaluate their performance in other populations and using different methods to identify GDM cases.

Trimethylamine N-Oxide Metabolites in Early Pregnancy and Risk of Gestational Diabetes: A Nested Case-Control Study.

OBJECTIVES: This study aimed to investigate the associations between trimethylamine N-oxide (TMAO) and related metabolites in early pregnancy and the risk of gestational diabetes mellitus (GDM). DESIGN: A prospective cohort of 22,302 pregnant women from 2010 to 2012 in Tianjin, China, was used to perform a nested case-control study. A total of 243 women with GDM and 243 women without GDM matched by maternal age (±1 year) were used as cases and controls, respectively. Conditional logistic regression and restricted cubic spline were used to examine the full-range risk associations between individual TMAOs metabolites at the first antenatal care visit with GDM. Trimethylamine conversion ratio (TMAR) was defined as trimethylamine (TMA)/its precursors, and trimethylamine N-oxide conversion ratio (TMAOR) was defined as TMAO/TMA. An additive interaction between high TMAR and low TMAOR indicates a state of TMA accumulation, and a mathematical interaction between high TMAR and high TMAOR indicates accumulation of TMAO. RESULTS: TMA was linearly associated with GDM, whereas TMA precursors and TMAO were inversely associated with GDM with clear threshold effects, i.e., 16 nmol/mL for TMAO, 200 nmol/mL for betaine, 112 nmol/mL for l-carnitine, and 110 and 270 nmol/mL for cholinechloride (a U-shaped relationship). Copresence of TMAR >0.35 and TMAOR ≤0.15 was associated with a markedly higher OR (11.16; 95% CI, 5.45 to 22.8), compared with TMAR >0.35 only (OR = 1.71; 95% CI, 0.42 to 6.95) or TMAOR ≤0.15 only (OR = 2.06; 95% CI, 1.09 to 3.90), with a significant additive interaction. However, the mathematical interaction was nonsignificant. CONCLUSIONS: TMAO metabolites in the early pregnancy were associated with the risk of GDM, whereas TMA was more likely to play a causal role in GDM.

Lifestyle intervention modifies the effect of the MC4R genotype on changes in insulin resistance among women with prior gestational diabetes: Tianjin Gestational Diabetes Mellitus Prevention Program.

BACKGROUND: A history of gestational diabetes mellitus (GDM) has been related to an elevated risk of type 2 diabetes. The melanocortin-4 receptor (MC4R) genotype has been related to glycemic changes in women with prior GDM. OBJECTIVE: The objective of this study was to analyze whether lifestyle intervention modified the association between the MC4R genotype and changes in insulin sensitivity among women with prior GDM. METHODS: We genotyped MC4R rs6567160 and measured glucose and insulin in fasting plasma samples at baseline and during the first 2 follow-up visits in 1128 women with prior GDM. They were randomly assigned to either a 4-y lifestyle intervention involving both diet and physical activity or a control group from a randomized clinical trial, the Tianjin Gestational Diabetes Mellitus Prevention Program. We analyzed the interaction between the MC4R genotype and lifestyle intervention on changes in insulin resistance. RESULTS: From baseline to 1.28 y, the MC4R genotype was related to changes in fasting insulin, HOMA-IR, and homeostasis model assessment of ß cell function (HOMA-B) in the intervention group. Each risk allele (C) of rs6567160 was associated with a 0.08-unit greater decrease in log(insulin), log(HOMA-IR), and log(HOMA-B) (P = 0.02, 0.04, and 0.04, respectively), whereas in the control group, each C allele tended to be associated with a greater increase in HOMA-IR (P = 0.09). We found significant interactions between the MC4R genotype and lifestyle intervention on 1.28-y changes in fasting insulin and HOMA-IR (P = 0.006 and 0.008, respectively), and such interaction remained significant when we analyzed the trajectory of changes in insulin and HOMA-IR from baseline to 2.55 y (both P = 0.03). CONCLUSIONS: The exploratory results from the first 2 follow-up visits indicate that women with prior GDM carrying a diabetes-increasing MC4R genotype (CC or TC) may obtain better improvement than the TT genotype in insulin resistance through lifestyle intervention. This trial was registered at clinicaltrials.gov as NCT01554358.

Passive smoking and postpartum depression among Chinese women: A prospective cohort study in Tianjin, China.

Smoking has been associated with depression in the general population. Whether passive smoking is also associated with postpartum depression (PPD) is uncertain. From 2010 to 2012, we recruited 8,842 pregnant women in Tianjin, China. The mainland Chinese version of the Edinburgh Postnatal Depression Scale was used to evaluate postpartum depressive symptoms after birth, with a score of >9 defining PPD. Data were collected using specially designed questionnaires or data from the electronic database of Tianjin Maternal and Child Health Information System. Odds ratios (OR) and 95 percent confidence intervals (CI) were obtained for the association of smoking status with PPD using binary logistic regression. Passive smoke exposure rates before and during pregnancy were 40.9 percent and 52.1 percent, respectively. A total of 8.5% (n = 747) of participants had PPD. Compared with those not exposed, women passively exposed to smoke before and during pregnancy had higher odds of PPD (before pregnancy: OR: 1.24, 95 percent CI: 1.03-1.50; during pregnancy: OR: 1.43, 95 percent CI: 1.16-1.77) after adjustment for confounding factors. Passive smoking before and during pregnancy were associated with PPD in Chinese women. Reducing passive smoke exposure may reduce PPD in Chinese women; further longitudinal studies are warranted to replicate these findings.

A simple "mix-and-detection" method for the sensitive detection of telomerase from cancer cells under absolutely isothermal conditions.

We develop a simple "mix-and-detection" method for the sensitive detection of telomerase from cancer cells under absolutely isothermal conditions. This method enables one-step and one-tube detection of telomerase with a detection limit of 3 cells, and it can be further applied for the screening of telomerase inhibitors and the discrimination of cancer cells from normal cells.

Passive smoking increased risk of gestational diabetes mellitus independently and synergistically with prepregnancy obesity in Tianjin, China.

BACKGROUND: Passive smoking increased type 2 diabetes mellitus risk, but it is uncertain whether it also increased gestational diabetes mellitus (GDM) risk. We aimed to examine the association of passive smoking during pregnancy and its interaction with maternal obesity for GDM. METHODS: From 2010 to 2012, 12 786 Chinese women underwent a 50-g 1-hour glucose challenge test at 24 to 28 weeks of gestation and further underwent a 75-g 2-hour oral glucose tolerance test if the glucose challenge test result was ≥7.8 mmol/L. GDM was defined by the International Association of Diabetes and Pregnancy Study Group's cut points. Self-reported passive smoking during pregnancy was collected by a questionnaire. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction between maternal obesity and passive smoking was estimated using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Significant RERI > 0, AP > 0, or S > 1 indicated additive interaction. RESULTS: A total of 8331 women (65.2%) were exposed to passive smoking during pregnancy. More women exposed to passive smoking developed GDM than nonexposed women (7.8% versus 6.3%, P = 0.002) with an adjusted OR of 1.29 (95%CI, 1.11 to 1.50). Compared with nonobesity and nonpassive smoking, prepregnancy obesity and passive smoking was associated with GDM risk with an adjusted OR of 3.09 (95%CI, 2.38-4.02) with significant additive interaction (P < .05 for RERI and AP). CONCLUSIONS: Passive smoking during pregnancy increased GDM risk in Chinese women independently and synergistically with prepregnancy obesity.

Fasting and 2-hour plasma glucose, and HbA1c in pregnancy and the postpartum risk of diabetes among Chinese women with gestational diabetes.

AIMS: Very few studies have assessed the association of fasting and 2h glucose, and HbA1c during pregnancy with postpartum diabetes risk among women with prior gestational diabetes mellitus (GDM). We assessed the association of fasting glucose, 2h glucose and HbA1c at 26-30 gestational weeks with postpartum diabetes risk among women with prior GDM. METHODS: A cohort study in 1263 GDM women at 1-5 years after delivery was performed. Cox proportional hazards regression models were used to evaluate the association of fasting and 2h plasma glucose, and HbA1c at 26-30 gestational weeks with the risk of diabetes at postpartum. RESULTS: The multivariable-adjusted (age, pre-pregnancy body mass index, weight gain during pregnancy, current body mass index, family history of diabetes, marital status, education, family income, smoking status, passive smoking, leisure-time physical activity, alcohol drinking, and intake of energy, saturated fat, and dietary fiber) hazard ratios of postpartum diabetes were 1.61 (95% confidence interval [CI]: 1.36-1.91) for each 1 mmol/l increase in fasting glucose during pregnancy, 1.63 (95% CI: 1.45-1.84) for each 1 mmol/l increase in 2h glucose during pregnancy, 2.11 (95% CI: 1.50-2.97) for each 1 unit (%) increase in HbA1c during pregnancy. When fasting glucose, 2h glucose and HbA1c during pregnancy were entered multivariable-adjusted model simultaneously, 2h glucose and HbA1c but not fasting glucose remained to be significant and positive predictors for postpartum diabetes. CONCLUSIONS: For women with prior GDM, 2h plasma glucose and HbA1c during pregnancy are independent predictors of postpartum diabetes, but fasting plasma glucose during pregnancy is not.

Genetic Predisposition to Polycystic Ovary Syndrome, Postpartum Weight Reduction, and Glycemic Changes: A Longitudinal Study in Women With Prior Gestational Diabetes.

CONTEXT: Polycystic ovary syndrome (PCOS) is a common condition in reproductive-aged women and a major female-specific risk factor of obesity, impaired glucose tolerance, and diabetes. OBJECTIVE: We examined whether the genetic variation predisposing to PCOS affected glycemic changes in women with prior gestational diabetes mellitus (GDM) and whether such an effect was modified by changes in body adiposity, especially during and after pregnancy. DESIGN, SETTING, AND PARTICIPANTS: This is a longitudinal study in Tianjin, China. We genotyped 7 genome-wide association study-identified PCOS single nucleotide polymorphisms and assessed gestational weight gain and changes in glycemic traits and weight at 1 to 5 years postpartum in 1133 women with prior GDM. MAIN OUTCOME MEASURES: The main outcome measure was postpartum glycemic changes. RESULTS: The PCOS genetic risk score significantly interacted with postpartum weight reduction on changes in fasting glucose and 2-h glucose (P for interaction = .032 and .007; respectively) after multivariable adjustment. In women with postpartum weight reduction of ≥ 5 kg/y, the genetic risk score was associated with decreased fasting and 2-h glucose, whereas an opposite genetic effect was found in women who lost less weight. The association between postpartum weight reduction and glycemic improvement was more significant among women with a higher genetic risk score. CONCLUSIONS: In a large cohort of Chinese women with a history of GDM, our data for the first time indicate that the genetic predisposition to PCOS may interact with postpartum weight reduction on long-term glycemic changes, emphasizing the importance of postpartum weight management in prevention of diabetes in this subgroup of women.

Blood group AB is protective factor for gestational diabetes mellitus: a prospective population-based study in Tianjin, China.

BACKGROUND: The ABO blood types are associated with cancers, cardiovascular diseases and type 2 diabetes mellitus but whether they are also associated with gestational diabetes mellitus (GDM) is unknown. We examined the relationship between the ABO blood types and the risk of GDM in a prospective population-based Chinese cohort. METHODS: From 2010 to 2012, we recruited 14,198 pregnant women within the first 12 weeks of gestation in Tianjin, China. All women had a glucose challenge test (GCT) at 24-28 gestational weeks, followed by a 75-g 2-h oral glucose tolerance test if the results from GCT were ≥7.8 mmol/L. GDM was diagnosed based on the glucose cut-points of the International Association of Diabetes and Pregnancy Study Group criteria. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) adjusted for traditional risk factors. Stratified analysis was performed by family history of diabetes (yes versus no). Sensitivity analyses were also performed by using the World Health Organization (WHO) criteria for GDM. RESULTS: Women with blood groups A, B or O (i.e. non-AB) were associated with increased risk of GDM as compared with those with blood group AB (adjusted OR: 1.44, 95% CI: 1.13-1.83). Sensitivity analyses showed that the result was consistent using WHO criteria. The adjusted OR of blood group non-AB versus AB for GDM was enhanced among women with a family history of diabetes (2.69, 1.21-5.96) and attenuated among those without (1.33, 1.03-1.71). CONCLUSIONS: Blood group AB was a protective factor against GDM in pregnant Chinese women.

Prevalence of gestational diabetes mellitus and its risk factors in Chinese pregnant women: a prospective population-based study in Tianjin, China.

OBJECTIVE: We compared the increases in the prevalence of gestational diabetes mellitus (GDM) based on the 1999 World Health Organization (WHO) criteria and its risk factors in Tianjin, China, over a 12-year period. We also examined the changes in the prevalence using the criteria of International Association of Diabetes and Pregnancy Study Group (IADPSG). METHODS: In 2010-2012, 18589 women who registered within 12 weeks of gestation underwent a glucose challenge test (GCT) at 24-28 gestational weeks. Amongst them, 2953 women with 1-hour plasma glucose ≥ 7.8 mmol/L underwent a 75-gram 2-hour oral glucose tolerance test (OGTT) and 781 women had a positive GCT but absented from the standard OGTT. An adjusted prevalence of GDM was calculated for the whole cohort of women by including an estimate of the proportion of women with positive GCTs who did not have OGTTs but would have been expected to have GDM. Logistic regression was used to obtain odds ratios and 95% confidence intervals using the IADPSG criteria. The prevalence of GDM risk factors was compared to the 1999 survey. RESULTS: The adjusted prevalence of GDM by the 1999 WHO criteria was 8.1%, a 3.5-fold increase as in 1999. Using the IADPSG criteria increased the adjusted prevalence further to 9.3%. Advanced age, higher pre-pregnancy body mass index, Han-nationality, higher systolic blood pressure (BP), a family history of diabetes, weight gain during pregnancy and habitual smoking were risk factors for GDM. Compared to the 1999 survey, the prevalence of overweight plus obesity had increased by 1.8 folds, age ≥ 30 years by 2.3 folds, systolic BP by 2.3 mmHg over the 12-year period. CONCLUSIONS: Increasing prevalence of overweight/obesity and older age at pregnancy were accompanied by increasing prevalence of GDM, further increased by change in diagnostic criteria.

Effect of apolipoprotein B mRNA-editing catalytic polypeptide-like protein-3G in cervical cancer.

Cervical cancer is one of the most common gynecologic cancers. The role of apolipoprotein B mRNA-editing catalytic polypeptide-like protein-3G (APCBEC-3G) in cervical cancer has yet to be elucidated. This study intends to explore the effect of APCBEC-3G on cervical cancer cell proliferation and invasion. In vitro, the cervical cancer cell line Hela was transfected by APCBEC-3G plasmid. The mRNA and protein expression levels of APCBEC-3G were detected by Real-time PCR and Western blot, respectively. Cervical cancer cell proliferation was determined by MTT. Transwell assay was applied to measure the effect of APCBEC-3G on cell invasion. APCBEC-3G mRNA and protein increased significantly after transfection (P<0.05) and cervical cancer cell proliferation and invasive ability were decreased significantly (P<0.05). APOBEC-3G serves as a suppressor of cervical cancer cell proliferation and invasion. Our research provides theoretical basis for further investigation APOBEC-3G effect in cervical cancer occurrence and development.

Analysis of nucleotide-binding oligomerization domain proteins in a murine model of pneumococcal meningitis.

BACKGROUND: The innate immune system recognizes pathogens via its pattern recognition receptors. The objective of this study was to investigate the role of the nucleotide-binding oligomerization domain (NOD) proteins, a family of the novel bacterial pattern recognition receptors, in host responses to the gram-positive bacteria Streptococcus pneumoniae. METHODS: Sprague-Dawley rats were infected via intracisternal injections of viable S. pneumoniae, and rats in the control group were injected with sterile saline. After infection, real-time PCR was performed to determine the presence of mRNAs encoding NOD1 and NOD2. Quantitative analyses of the NOD1, NOD2 and NF-kB proteins were also performed western blotting following challenge infections with viable S. pneumoniae. The TNF-α and IL-6 levels in brain homogenates were evaluated using enzyme-linked immunosorbent assays (ELISAs). RESULTS: The results revealed up-regulations of the mRNA and protein levels of NOD2 within the CNS of rats with S. pneumoniae meningitis. Moreover, the activation of NF-κB in the brain tissues following infection with live S. pneumoniae was also significantly increased, which indicates that NOD2 mediated NF-κB activation in experimental pneumococcal meningitis. Similarly, TNF-α and IL-6 levels were increased in the brain following in vivo S. pneumoniae administration. CONCLUSIONS: These results suggest that NOD2 is involved in the host response to the gram-positive bacteria S. pneumoniae in the CNS and that NOD2 might play an important role in the initiation and/or progression of CNS inflammation associated with pneumococcal meningitis.

Tianjin Gestational Diabetes Mellitus Prevention Program: study design, methods, and 1-year interim report on the feasibility of lifestyle intervention program.

OBJECTIVE: To assess whether lifestyle intervention can reduce type 2 diabetes risk in women with prior GDM in the Tianjin Gestational Diabetes Mellitus (GDM) Prevention Program. METHODS: 1180 women who were diagnosed with GDM from 2005 to 2009 were randomly assigned to either a lifestyle intervention (n=586) or a control group (n=594). Major elements of the intervention include six face-to-face meetings with study dietitians in the first year, and two additional sessions and two telephone calls in second year. RESULTS: During the first year, average body weight loss in the first 404 subjects was 1.40 kg (2.1%) in the intervention group vs 0.21 kg (0.3%) in the control group (P=0.001), and the decrease was more significant among baseline overweight women (body bass index [BMI]≥24 kg/m²) in the intervention (2.91 kg/4.2%) compared with that in the control group (0.51 kg/0.7%) (P<0.001). In addition, women in the intervention group, compared with those in the control group, have decreased BMI, body fat, waist circumference, and plasma insulin levels, and have improved behaviors including increased leisure time activity and dietary fiber intake and decreased sedentary time and fat consumptions. CONCLUSION: The interim results support the efficacy and feasibility of the lifestyle intervention program.