To investigate the associations of single nucleotide polymorphisms (SNPs) of three genes (IL-12B, IL-12Rβ1 and IL-12Rβ2) in Behcet's disease (BD) and Vogt-Koyanagi-Harada (VKH) syndrome in a Chinese Han population. A total of 806 BD cases, 820 VKH patients, and 1600 healthy controls were involved in this study. The first investigation included 400 BD patients, 400 VKH cases, and 600 healthy individuals. A second confirmatory study included a separate set of 406 BD patients, 420 VKH cases and another 1000 normal controls. Genotyping was carried out by PCR-restriction fragment length polymorphism assay and results were validated by using direct sequencing. The χ2 test was performed to compare the allele and genotype frequencies between cases and healthy controls. This study comprised two phases. In the first phase study, a significantly increased frequency of the rs3212227/IL-12B genotype CC and C allele was found in BD patients as compared to controls (Bonferroni corrected p value (p_c) = 0.009, OR 1.8; p_c = 0.024, OR 1.3, respectively). Moreover, the frequency of the C allele of rs3212227/IL-12B was also significantly increased in VKH patients (p_c = 0.012, OR 1.3, 95% CI 1.1 to 1.6). No associations were found for the other seven tested SNPs either in BD or VKH disease. The second study as well as the combined data confirmed the significant association of rs3212227/IL-12B with BD (CC genotype: combined p_c = 6.3×10⁻⁷, OR = 1.8; C allele: combined p_c = 2.0×10⁻⁵, OR = 1.3, respectively) and the C allele frequency of rs3212227/IL-12B as the risk factor to VKH patients (combined p_c = 2.5×10⁻⁵, OR 1.3, 95% CI 1.2 to 1.5). Our study revealed that the IL-12B gene is involved both in the susceptibility to BD as well as VKH syndrome.

Purpose: To investigate the impact of medication reconciliation (MR), through avoidance of unintentional medication discrepancies, on enhanced recovery after surgery programs designed for older patients undergoing orthopedic joint surgery. Method: Our study was divided into two phases. In the first phase, MR was performed for elderly patients undergoing orthopedic joint surgery. Types of medication discrepancies and their potential risks were analyzed. In the second phase, a controlled study was conducted in a subgroup of patients diagnosed with periprosthetic joint infection (PJI) and who were scheduled for two-stage revision. The primary goal was to investigate the impact of MR on length of stay for the first stage. The secondary goal was to investigate the time between the first admission and the reimplantation of a new prosthesis, the number of readmissions within 30 days, hospitalization cost. Results: A total of 506 medication discrepancies were identified in the included 260 patients. Intolerance had the highest incidence (n = 131, 25.7%). The Bayliff tool showed that 71.9% were assessed as level 2 risk, and 10.3% had a life-threatening risk. For patients with PJI, MR reduced the average length of stay in the first stage (16.3 days vs. 20.7 days, P = 0.03) and shortened the time (57.3 days vs. 70.5 days, P = 0.002) between the first admission and the reimplantation of a new prosthesis. The average cost of hospital stay ($8589.6 vs. $10,422.6, P = 0.021), antibiotics ($1052.2 vs. $1484.7, P = 0.032) and other medications ($691.5 vs. $1237.6, P = 0.014) per patient at our hospital were significantly decreased. Notably, significant improvements in patient satisfaction were seen in participants in the MR group. Conclusion: Through MR by clinical pharmacists, medication discrepancies within the orthopedic ERAS program could be identified. For patients with periprosthetic joint infection, better patient satisfaction and clinical and economical outcomes can be achieved with this method.

Background maternal health during pregnancy can affect the intestinal microbial community of offspring, but currently the impact of intrauterine environmental changes resulting from gestational diabetes mellitus (GDM) on the microbiota of offspring as well as its interaction with the immune system remains unclear. Aims to explore the impact of intrauterine microbial exposure during pregnancy of gestational diabetes mellitus on the development of neonate’s intestinal microbiota and activation of immune responses. Methods Levels of lipopolysaccharides in cord blood from GDM and expression of microbial recognition-related proteins in the placenta were measured. To evaluate embryonic intestinal colonization, pregnant mice with GDM were administered with labeled Escherichia coli or Lactobacillus. The intestinal colonization of pups was analyzed through 16S rRNA gene sequencing and labeled microbial culture. Additionally, memory T lymphocyte and dendritic cell co-culture experiments were conducted to elucidate the immune memory of intestinal microbes during the embryonic stages. Result Gestational diabetes mellitus led to elevated umbilical cord blood LPS level and increased GFP labeled Escherichia coli in the offspring’s intestine after gestational microbial exposure. The mouse model of GDM exhibited increased immune markers including TLR4, TLR5, IL-22 and IL-23 in the placenta and a recall response from memory T cells in offspring’s intestines, with similar observations found in human experiments. Furthermore, reduced intestinal microbiome diversity and an increased ratio of Firmicutes/Bacteroidetes was found in GDM progeny, with the stability of bacterial colonization been interfered. Conclusions Our investigation has revealed a noteworthy correlation between gestational diabetes and intrauterine microbial exposure, as well as alterations in the neonatal microbiota and activation of immune responses. These findings highlight the gestational diabetes’s role on offspring’s gut microbiota and immune system interactions with early-life pathogen exposure.