2020年 · 第133卷第15期

Background: Hypothermia is associated with many adverse clinical outcomes in pediatric patients, and thus, it is important to find an effective and safe method for preventing peri-operative hypothermia and its associated adverse outcomes in pediatric patients. This study aimed to investigate the effect of forced-air warming blankets with different temperatures on changes in the transforming growth factor-β (TGF-β), tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-10 levels in children undergoing surgical treatment for developmental displacement of the hip (DDH). Methods: The study included 123 children undergoing surgery for DDH under general anesthesia. The patients were randomly assigned to three groups, using a random number table: the 32, 38, and 43°C groups according to the temperature setting of the forced-air warming blankets. For each patient, body temperature was recorded immediately after anesthesia induction and intubation (T0), at initial incision (T1), at 1 h after incision (T2), at 2 h after incision (T3), at the end of surgery (T4), immediately upon return to the ward after surgery (T5), and then at 12 h (T6), 24 h (T7), 36 h (T8), and 48 h (T9) after the surgery. The serum levels of TGF-β, TNF-α, IL-1β, and IL-10 were measured at T0 and T4 for all groups. Results: The number of patients with fever in the 38°C group was significantly less than those in the 32 and 43°C groups (χ2 = 6.630, P= 0.036). At T0, the body temperatures in the 38 and 43°C groups were significantly higher than that in the 32°C group (F = 17.992, P < 0.001). At T2, the body temperature was significantly higher in the 43°C group than those in the 32 and 38°C groups (F= 12.776, P < 0.001). Moreover, at T4, the serum levels of TGF-β (F = 3286.548, P < 0.001) and IL-10 (F = 4628.983, P < 0.001) were significantly increased in the 38°C group, and the serum levels of TNF-α (F= 911.415, P < 0.001) and IL-1β (F = 322.191, P < 0.001) were significantly decreased in the 38°C group, compared with the levels in the 32 and 43°C groups. Conclusion: Force-air warming blankets set at 38°C maintained stable body temperature with less adverse outcome and effectively inhibited the inflammatory response in pediatric patients undergoing surgery for DDH. Clinical trial registration: ChiCTR1800014820; http://www.chictr.org.cn/showproj.aspx?proj=25240.

Background: Non-coding RNAs have attracted considerable attention for their vital role in cancer. The purpose of this study was to determine the effects of non-coding RNAs on hepatocellular carcinoma (HCC) and reveal their regulatory mechanism in the pathophysiological process. Methods: We measured the expression of mucin 1 (MUC1) and miR-485-5p in tissues from 15 HCC patients and in liver cancer cell lines by quantitative real-time polymerase chain reaction and Western blot, screened for aberrantly expressed microRNAs (miRNAs) by miRNA microarrays. Bioinformatics tools were used to find the miRNA and circular RNA that regulated MUC1, which were validated by RNA immunoprecipitation assay and luciferase reporter assay. Cell counting kit-8, Transwell assays, and flow cytometry were used to conduct functional experiments. Proteins were examined by western blot and immunohistochemical staining assays. Significant differences between groups were estimated using the one-way analysis of variance. A P < 0.05 was considered statistically significant. Results: MUC1 was overexpressed in HCC tissues compared with that in paratumor tissues (normal vs. tumor, 1.007 ± 0.215 vs. 75.213 ± 18.403, t = 18.401, P < 0.001) while miR-485-5p was down-regulated (normal vs. tumor, 4.894 ± 0.684 vs. 1.586 ± 0.398, t= 16.191, P < 0.001). Inhibition of miR-485-5p promoted cell proliferation (73.33% ± 5.13% vs. 41.33% ± 3.51%, t= 8.913, P < 0.001), migration (102 ± 8 cells vs. 46 ± 8 cells, t= 8.681, P < 0.001), invasion (59 ± 7 cells vs. 28 ± 2 cells, t = 8.034, P < 0.01), and suppressed apoptosis (22.64% ± 6.97% vs. 36.33% ± 3.96%, t = 2.958, P < 0.05) of HepG2 cells with which MUC1 is knocked down. Mechanically, miR-485-5p binds to MUC1, while circHECTD1 binds to miR-485-5p, resulting in the indirect up-regulation of the MUC1 level. Conclusions: Our findings reveal that circHECTD1 facilitates HCC progression by sponging miR-485-5p to up-regulate MUC1.

Background: Cardiac remodeling after acute myocardial infarction (AMI) is an important process. The present study aimed to assess the protective effects of astaxanthin (ASX) on cardiac remodeling after AMI. Methods: The study was conducted between April and September 2018. To create a rat AMI model, rats were anesthetized, and the left anterior descending coronary artery was ligated. The rats in the ASX group received 10 mg·kg-1·day-1 ASX by gavage for 28 days. On the 1st day after AMI, but before ASX administration, six rats from each group were sacrificed to evaluate changes in the heart function and peripheral blood (PB) levels of inflammatory factors. On the 7th day after AMI, eight rats from each group were sacrificed to evaluate the PB levels of inflammatory factors and the M2 macrophage count using both immunofluorescence (IF) and flow cytometry (FC). The remaining rats were observed for 28 days. Cardiac function was examined using echocardiography. The inflammatory factors, namely, tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and IL-10, were assessed using enzyme-linked immunosorbent assay. The heart weight/body weight (BW), and lung weight (LW)/BW ratios were calculated, and myocardial fibrosis in the form of collagen volume fraction was measured using Masson trichrome staining. Hematoxylin and eosin (H&E) staining was used to determine the myocardial infarct size (MIS), and TdT-mediated dUTP nick-end labeling staining was used to analyze the myocardial apoptosis index. The levels of apoptosis-related protein, type I/III collagen, transforming growth factor β1 (TGF-β1), metalloproteinase 9 (MMP9), and caspase 3 were assessed by Western blotting. Unpaired t-test, one-way analysis of variance, and non-parametric Mann-Whitney test were used to analyze the data. Results: On day 1, cardiac function was worse in the ASX group than in the sham group (left ventricular end-systolic diameter [LVIDs]: 0.72 ± 0.08 vs. 0.22 ± 0.06 cm, t= -11.38; left ventricular end-diastolic diameter [LVIDd]: 0.89 ± 0.09 vs. 0.48 ± 0.05 cm, t= -9.42; end-systolic volume [ESV]: 0.80 [0.62, 0.94] vs. 0.04 [0.03, 0.05] mL, Z = -2.89; end-diastolic volume [EDV]: 1.39 [1.03, 1.49] vs. 0.28 [0.22, 0.32] mL, Z = -2.88; ejection fraction [EF]: 0.40 ± 0.04 vs. 0.86 ± 0.05, t= 10.00; left ventricular fractional shortening [FS] rate: 0.19 [0.18, 0.20] %FS vs. 0.51 [0.44, 0.58] %FS, Z = -2.88, all P < 0.01; n = 6). The levels of inflammatory factors significantly increased (TNF-α: 197.60 [133.89, 237.94] vs. 50.48 [47.21 57.10] pg/mL, Z= -2.88; IL-1β: 175.23 [160.74, 215.09] vs. 17.78 [16.83, 19.56] pg/mL, Z = -2.88; IL-10: 67.64 [58.90, 71.46] vs. 12.33 [11.64, 13.98] pg/mL, Z = -2.88, all P < 0.01; n = 6). On day 7, the levels of TNF-α and IL-1β were markedly lower in the ASX group than in the AMI group (TNF-α: 71.70 [68.60, 76.00] vs. 118.07 [106.92, 169.08] pg/mL, F = 42.64; IL-1β: 59.90 [50.83, 73.78] vs. 151.60 [108.4, 198.36] pg/mL, F = 44.35, all P < 0.01, n = 8). Conversely, IL-10 levels significantly increased (141.84 [118.98, 158.36] vs. 52.96 [42.68, 74.52] pg/mL, F= 126.67, P < 0.01, n = 8). The M2 macrophage count significantly increased (2891.42 ± 211.29 vs. 1583.38 ± 162.22, F= 274.35, P < 0.01 by immunofluorescence test; 0.96 ± 0.18 vs. 0.36 ± 0.05, F= 46.24, P < 0.05 by flowcytometry test). On day 28, cardiac function was better in the ASX group than in the AMI group (LVIDs: 0.50 [0.41, 0.56] vs. 0.64 [0.56, 0.74] cm, Z = -3.60; LVIDd: 0.70 [0.60, 0.76] vs. 0.80 [0.74 0.88] cm, Z = -2.96; ESV: 0.24 [0.18, 0.45] vs. 0.58 [0.44, 0.89] mL, Z = -3.62; EDV: 0.76 [0.44, 1.04] vs. 1.25 [0.82, 1.46] mL, Z = -2.54; EF: 0.60 ± 0.08 vs. 0.50 ± 0.12, F= 160.48; % FS: 0.29 [0.24, 0.31] vs. 0.20 [0.17, 0.21], Z = -4.43, all P < 0.01; n = 16). The MIS and LW/BW ratio were markedly lower in the ASX group than in the AMI group (myocardial infarct size: 32.50 ± 1.37 vs. 50.90 ± 1.73, t = 23.63, P < 0.01, n = 8; LW/BW: 1.81 ± 0.15 vs. 2.17 ± 0.37, t= 3.66, P = 0.01, n = 16). The CVF was significantly lower in the ASX group than in the AMI group: 12.88 ± 2.53 vs. 28.92 ± 3.31, t = 10.89, P < 0.01, n = 8. The expression of caspase 3, TGF-β1, MMP9, and type I/III collagen was lower in the ASX group than in the AMI group (caspase 3: 0.38 ± 0.06 vs. 0.66 ± 0.04, t= 8.28; TGF-β1: 0.37 ± 0.04 vs. 0.62 ± 0.07, t = 6.39; MMP9: 0.20 ± 0.06 vs. 0.40 ± 0.06, t = 4.62; type I collagen: 0.42 ± 0.09 vs. 0.74 ± 0.07, t = 5.73; type III collagen: 0.13 ± 0.02 vs. 0.74 ± 0.07, t = 4.32, all P < 0.01; n = 4). Conclusions: ASX treatment after AMI may promote M2 macrophages and effectively attenuate cardiac remodeling by inhibiting inflammation and reducing myocardial fibrosis.

Background: Epithelial to mesenchymal transition (EMT) is a key process in determining distant metastasis and intra-hepatic dissemination of hepatocellular carcinoma (HCC). Follistatin (FST) family members are considered to be an attractive therapeutic targets and prognostic indicators in cancers. As a derivative of FST, Follistatin Like 5 (FSTL5) may play a similar role in HCC cells. This study aimed to investigate the expression and function of FSTL5 in HCC and its role in EMT. Methods: FSTL5, E-cadherin and vimentin in HCC, and paracancerous tissues were detected by immunohistochemistry. Correlation of FSTL5 expression with overall survival was assessed. The proliferation and invasion of HCC cell lines SK-Hep1 and MHCC-LM3 were analyzed by cell counting kit-8 and Transwell assays. The expression of FSTL5, E-cadherin, and vimentin in HCC cells was examined by polymerase chain reaction and Western blot analysis. T-test was used to analyze the difference in proliferation and invasion ability between groups. The Spearman rank correlation test was used to detect the correlation between the expression of FSTL5 and E-cadherin or vimentin. Results: The expression of FSTL5 in HCC was lower than that in paracancerous tissues (9.97% vs. 82.55%, χ2 = 340.15, P < 0.001). Patients with high FSTL5 expression had a better prognosis (χ2= 8.22, P= 0.004) and smaller tumor diameter (χ2 = 45.52, P < 0.001), less lymph node metastasis (χ2 = 5.58, P= 0.02), earlier tumor node metastasis stage (χ2 = 11.29, P= 0.001), a reduced number of tumors (χ2 = 5.05, P= 0.02), lower alpha-fetoprotein value (χ2 = 24.36, P < 0.001), more probability of hepatitis carrying (χ2 = 40.9, P < 0.001), and better liver function grade (χ2 = 5.21, P = 0.02). Immunohistochemistry showed that FSTL5 expression in HCC tissues was positively correlated with E-cadherin expression (r = 0.38, P < 0.001) and negatively correlated with vimentin expression (r = -0.385, P < 0.001). Furthermore, over-expression of FSTL5 up-regulated the expression of E-cadherin and down-regulated the expression of vimentin in SK-Hep1 (negative control [NC] vs. FSTL5-interfering group [Lv-FSTL5]: E-cadherin [t= 45.03, P < 0.001], vimentin [t= 67, P < 0.001]) and MHCC-LM3 (NC vs. Lv-FSTL5: E-cadherin [t = 50, P < 0.001], vimentin [t = 72.75, P < 0.001]) cells at mRNA level. The same as protein level. In addition, the over-expression of FSTL5 inhibited the proliferation (NC vs. Lv-FSTL5: SK-Hep1, 3 d [t = 7.324, P = 0.018], 4 d [t = 6.23, P = 0.021], 5 d [t= 10.21, P= 0.003]; MHCC-LM3, 3 d [t= 4.32, P= 0.037], 4 d [t= 7.49, P= 0.012], 5 d [t= 9.3661, P = 0.009]) and invasion (NC vs. Lv-FSTL5: SK-Hep1, t= 21.57, P < 0.001; MHCC-LM3, t= 18.04, P < 0.001) of HCC cells. Conclusions: Down-regulation of FSTL5 may contribute to EMT of HCC, and FSTL5 is a potential target in the treatment of HCC.

Background: We previously found that the intestinal epithelial chemokine (C-C motif) ligand 7 (CCL7) plays an important role in the development of toxin-induced acute liver damage. The detailed effects of intestinal epithelial CCL7 on chronic diseases; however, are still unclear. Here, we aimed to investigate the impact of intestinal epithelial CCL7 overexpression on high-fat diet (HFD)-induced obesity and steatohepatitis in mice. Methods: Intestinal epithelial CCL7 overexpression (CCL7tgIEC) mice and their wild-type (WT) littermates were fed with normal chow or HFD for 16 weeks to induce obesity and non-alcoholic fatty liver disease. Body weight gain, as well as adipose tissue index were assessed. Liver injury was monitored by histological analysis and real time polymerase chain reaction. Gut microbial composition was analyzed by 16S rRNA gene sequencing. Results: We found that the CCL7tgIEC mice on a HFD had markedly decreased weight gain (8.9 vs. 17.0 g, P < 0.05) and a lower adipose tissue index that include mesenteric fat (1.0% vs. 1.76%, P < 0.05), gonadal fat (2.1% vs. 6.1%, P < 0.05), subcutaneous fat (1.0% vs. 2.8%, P < 0.05) compared to WT animals. HFD-induced glucose intolerance and insulin resistance were also significantly improved in CCL7tgIEC mice compared to WT. Furthermore, HFD-fed CCL7tgIEC mice displayed less hepatic lipid accumulation and lower expression of inflammatory factors than WT mice. 16S rRNA gene sequencing demonstrated that CCL7 overexpression in intestinal epithelial cells improved HFD-induced gut microbial dysbiosis. Conclusions: Our study revealed that CCL7 overexpression in the intestinal epithelium protects mice against the progression of diet-induced obesity, hepatic steatosis, and enteric dysbiosis.

Background: Vascular endothelial dysfunction is considered a key pathophysiologic process for the development of acute lung injury. In this study, we aimed at investigating the effects of unfractionated heparin (UFH) on the lipopolysaccharide (LPS)-induced changes of vascular endothelial-cadherin (VE-cadherin) and the potential underlying mechanisms. Methods: Male C57BL/6 J mice were randomized into three groups: vehicle, LPS, and LPS + UFH groups. Intraperitoneal injection of 30 mg/kg LPS was used to induce sepsis. Mice in the LPS + UFH group received subcutaneous injection of 8 U UFH 0.5 h before LPS injection. The lung tissue of the mice was collected for assessing lung injury by measuring the lung wet/dry (W/D) weight ratio and observing histological changes. Human pulmonary microvascular endothelial cells (HPMECs) were cultured and used to analyze the effects of UFH on LPS- or tumor necrosis factor-alpha (TNF-α)-induced vascular hyperpermeability, membrane expression of VE-cadherin, p120-catenin, and phosphorylated myosin light chain (p-MLC), and F-actin remodeling, and on the LPS-induced activation of the phosphatidylinositol-3 kinase (PI3K)/serine/threonine kinase (Akt)/nuclear factor kappa-B (NF-κB) signaling pathway. Results: In vivo, UFH pretreatment significantly attenuated LPS-induced pulmonary histopathological changes (neutrophil infiltration and erythrocyte effusion, alveolus pulmonis collapse, and thicker septum), decreased the lung W/D, and increased protein concentration (LPS vs. LPS + UFH: 0.57 ± 0.04 vs. 0.32 ± 0.04 mg/mL, P = 0.0092), total cell count (LPS vs. LPS + UFH: 9.57 ± 1.23 vs. 3.65 ± 0.78 × 105/mL, P= 0.0155), polymorphonuclear neutrophil percentage (LPS vs. LPS+ UFH: 88.05% ± 2.88% vs. 22.20% ± 3.92%, P = 0.0002), and TNF-α (460.33 ± 23.48 vs. 189.33 ± 14.19 pg/mL, P = 0.0006) in the bronchoalveolar lavage fluid. In vitro, UFH pre-treatment prevented the LPS-induced decrease in the membrane expression of VE-cadherin (LPS vs. LPS + UFH: 0.368 ± 0.044 vs. 0.716 ± 0.064, P = 0.0114) and p120-catenin (LPS vs. LPS + UFH: 0.208 ± 0.018 vs. 0.924 ± 0.092, P = 0.0016), and the LPS-induced increase in the expression of p-MLC (LPS vs. LPS + UFH: 0.972 ± 0.092 vs. 0.293 ± 0.025, P = 0.0021). Furthermore, UFH attenuated LPS- and TNF-α-induced hyperpermeability of HPMECs (LPS vs. LPS + UFH: 8.90 ± 0.66 vs. 15.84 ± 1.09 Ω·cm2, P = 0.0056; TNF-α vs. TNF-α + UFH: 11.28 ± 0.64 vs. 18.15 ± 0.98 Ω·cm2, P = 0.0042) and F-actin remodeling (LPS vs. LPS + UFH: 56.25 ± 1.51 vs. 39.70 ± 1.98, P = 0.0027; TNF-α vs. TNF-α + UFH: 55.42 ± 1.42 vs. 36.51 ± 1.20, P = 0.0005) in vitro. Additionally, UFH decreased the phosphorylation of Akt (LPS vs. LPS + UFH: 0.977 ± 0.081 vs. 0.466 ± 0.035, P = 0.0045) and I kappa B Kinase (IKK) (LPS vs. LPS + UFH: 1.023 ± 0.070 vs. 0.578 ± 0.044, P = 0.0060), and the nuclear translocation of NF-κB (LPS vs. LPS + UFH: 1.003 ± 0.077 vs. 0.503 ± 0.065, P = 0.0078) in HPMECs, which was similar to the effect of the PI3K inhibitor, wortmannin. Conclusions: The protective effect of UFH against LPS-induced pulmonary endothelial barrier dysfunction involves VE-cadherin stabilization and PI3K/Akt/NF-κB signaling.

Many patients develop a variety of bowel dysfunction after sphincter preserving surgeries (SPS) for rectal cancer. The bowel dysfunction usually manifests in the form of low anterior resection syndrome (LARS), which has a negative impact on the patients' quality of life. This study reviewed the LARS after SPS, its mechanism, risk factors, diagnosis, prevention, and treatment based on previously published studies. Adequate history taking, physical examination of the patients, using validated questionnaires and other diagnostic tools are important for assessment of LARS severity. Treatment of LARS should be tailored to each patient. Multimodal therapy is usually needed for patients with major LARS with acceptable results. The treatment includes conservative management in the form of medical, pelvic floor rehabilitation and transanal irrigation and invasive procedures including neuromodulation. If this treatment failed, fecal diversion may be needed. In conclusion, Initial meticulous dissection with preservation of nerves and creation of a neorectal reservoir during anastomosis and proper Kegel exercise of the anal sphincter can minimize the occurrence of LARS. Pre-treatment counseling is an essential step for patients who have risk factors for developing LARS.

Obesity has become a global health problem. Lifestyle modification and medical treatment only appear to yield short-term weight loss. Roux-en-Y gastric bypass (RYGB) is the most popular bariatric procedure, and it sustains weight reduction and results in the remission of obesity-associated comorbidities for obese individuals. However, patients who undergo this surgery may develop hypoglycemia. To date, the diagnosis is challenging and the prevalence of post-RYGB hypoglycemia (PRH) is unclear. RYGB alters the anatomy of the upper gastrointestinal tract and has a combined effect of caloric intake restriction and nutrient malabsorption. Nevertheless, the physiologic changes after RYGB are complex. Although hyperinsulinemia, incretin effects, dysfunction of β-cells and α-cells, and some other factors have been widely investigated and are reported to be possible mediators of PRH, the pathogenesis is still not completely understood. In light of the important role of the gut microbiome in metabolism, we hypothesized that the gut microbiome might also be a critical link between RYGB and hypoglycemia. In this review, we mainly highlight the current possible factors predisposing individuals to PRH, particularly related to the gut microbiota, which may yield significant insights into the intestinal regulation of glucose metabolic homeostasis and provide novel clues to improve the treatment of type 2 diabetes mellitus.

The purpose of this review is to provide medical researchers, especially those without a bioinformatics background, with an easy-to-understand summary of the concepts and technologies used in microbiome research. First, we define primary concepts such as microbiota, microbiome, and metagenome. Then, we discuss study design schemes, the methods of sample size calculation, and the methods for improving the reliability of research. We emphasize the importance of negative and positive controls in this section. Next, we discuss statistical analysis methods used in microbiome research, focusing on problems with multiple comparisons and ways to compare β-diversity between groups. Finally, we provide step-by-step pipelines for bioinformatics analysis. In summary, the meticulous study design is a key step to obtaining meaningful results, and appropriate statistical methods are important for accurate interpretation of microbiome data. The step-by-step pipelines provide researchers with insights into newly developed bioinformatics analysis methods.

Gastric cancer (GC) is one of the most common malignant tumors. The mechanism of how GC develops is vague, and therapies are inefficient. The function of microRNAs (miRNAs) in tumorigenesis has attracted the attention from many scientists. During the development of GC, miRNAs function in the regulation of different phenotypes, such as proliferation, apoptosis, invasion and metastasis, drug sensitivity and resistance, and stem-cell-like properties. MiRNAs were evaluated for use in diagnostic and prognostic predictions and exhibited considerable accuracy. Although many problems exist for the application of therapy, current studies showed the antitumor effects of miRNAs. This paper reviews recent advances in miRNA mechanisms in the development of GC and the potential use of miRNAs in the diagnosis and treatment of GC.

Gastric cancer (GC) is a common malignancy and is the third leading cause of cancer-related death. At present, there is no simple and effective screening method for early-stage GC, and the treatment results and prognosis are poor. With the continuous improvement of molecular biology techniques, research on circular RNA (circRNA) has gradually expanded over time. Much data supports the role of circRNA in tumorigenesis. Moreover, due to its structural specificity and biological stability, circRNA is anticipated to be a potential biomarker for tumor diagnosis. Studies have confirmed that circRNA can participate in the proliferation, invasion, metastasis, and apoptosis of GC. These findings will lead to novel directions for the diagnosis and treatment of GC. This article reviews the structure and function of circRNA, summarizes the current studies on circRNA, and discusses the potential diagnostic value of circRNA in GC.