The incidence of Clostridium difficile infection in children with and without inflammatory bowel diseases: A single-center study in Taiwan from 2006 to 2019.

BACKGROUND: The incidence of Clostridium difficile infection (CDI) is increasing around the world, and patients with inflammatory bowel disease (IBD) have a higher risk of obtaining CDI. The data on the incidence rate of CDI in the Asian pediatric IBD population was lacking. METHODS: We retrospectively collected data from a tertiary medical center in Taipei, Taiwan. All patients aged 1-18 years old who visited the outpatient department or were admitted to our hospital between 2006 and 2019 were included. CDI was defined as positive stool C. difficile toxin or C. difficile culture results with appropriate antibiotic use within the range of 7 days prior or 14 days after the result. RESULTS: We compared the average annual incidence of CDI before and after 2013. The average incidence of community-acquired CDI (CA-CDI) increased from 0.063 to 0.564 cases per 1,000 visits, with a rate ratio (RR) of 8.82 (95% CI 5.74-14.38). In patients with IBD, the rate increased from 26.738 to 278.873 cases per 1,000 visits (RR=10.12, 95% CI: 4.57-29.02). The average incidence rate increased from 0.685 to 1.874 cases per 1,000 admissions in pediatric general patients (RR = 2.72, 95% CI 1.82-4.20) and from 14.706 to 62.500 cases per 1,000 admissions in pediatric IBD patients (RR = 3.77, 95% CI 0.71-93.53). CONCLUSIONS: Both CA-CDI and healthcare facility-onset CDI (HO-CDI) were increasing substantially in the pediatric population over the past decade in Taiwan. Compared to the general pediatric population, pediatric IBD patients had a much higher incidence of CDI.

Essential trace element and phosphatidylcholine remodeling: Implications for body composition and insulin resistance.

BACKGROUND: Recent studies indicated that bioactive lipids of phosphatidylcholines (PCs) and lysophosphatidylcholines (LysoPCs) predict unhealthy metabolic phenotypes, but results remain inconsistent. To fill this knowledge gap, we investigated whether essential trace elements affect PC-Lyso PC remodeling pathways and the risk of insulin resistance (IR). METHODS: Anthropometric and blood biochemical data (glucose, insulin, and lipoprotein-associated phospholipase A2 (Lp-PLA2)) were obtained from 99 adults. Blood essential/probably essential trace elements and lipid metabolites were respectively measured by inductively coupled plasma mass spectrometry (ICP-MS), and ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). RESULT AND CONCLUSION: Except for LysoPC (O-18:0/0:0), an inverse V shape was observed between body weight and PC and LysoPC species. A Pearson correlation analysis showed that essential/probably-essential metals (Se, Cu, and Ni: r=-0.4∼-0.7) were negatively correlated with PC metabolites but positively correlated with LysoPC (O-18:0/0:0) (Se, Cu, and Ni: r=0.85-0.64). Quantile-g computation showed that one quantile increase in essential metals was associated with a 2.16-fold increase in serum Lp-PLA2 (ß=2.16 (95 % confidence interval (CI): 0.34, 3.98), p=0.023), which are key enzymes involved in PC/Lyso PC metabolism. An interactive analysis showed that compared to those with the lowest levels (reference), individuals with the highest levels of serum PCs (pooled, M2) and the lowest essential/probably essential metals (M1) were associated with a healthier body composition and had a 76 % decreased risk of IR (odds ratio (OR)=0.24 (95 % CI: 0.06, 0.90), p<0.05). In contrast, increased exposure to LysoPC(O-18:0/0:0) (M2) and essential metals (M2) exhibited an 8.22-times highest risk of IR (OR= 8.22 (2.07, 32.57), p<0.05) as well as an altered body composition. In conclusion, overexposure to essential/probably essential trace elements may promote an unhealthy body weight and IR through modulating PC/LysoPC remodeling pathways.

The effects of dietary macronutrient composition on resting energy expenditure following active weight loss: A systematic review and meta-analysis.

A systematic review and meta-analysis was conducted to evaluate the relative effectiveness of different dietary macronutrient patterns on changes in resting energy expenditure (REE) in relation to weight loss, categorized as minimal (<5%) and moderate to high (>5%). Changes in REE were assessed using a DerSimonian and Laird random-effects meta-analysis. A diet lower in carbohydrates (CHO) or higher in fat and protein was associated with smaller reductions in REE, with these trends being more pronounced among participants who experienced moderate to high weight loss. Adjusted meta-regression analysis indicated that, within the participants who experienced moderate to high weight loss, each 1% increase in CHO intake was associated with a reduction of 2.30 kcal/day in REE (95% CI: -4.11 to -0.47, p = 0.013). In contrast, a 1% increase in protein and fat intake was correlated with an increase in REE by 3.00 (95% confidence interval [CI] [1.02, 5.07], p = 0.003) and 0.5 (95% CI [-2.43, 3.41], p = 0.740) kcal/day, respectively. No significant associations were found among participants who experienced minimal weight loss. These findings indicate that, under a caloric deficit, the impact of dietary macronutrient composition on REE may vary depending on the degree of weight loss and individual metabolic responses.