Immune suppression in the tumor microenvironment (TME) is closely related to abnormal glycolysis. Tumor cells gain metabolic advantages and suppress immune responses through the "Warburg effect". Traditional Chinese medicine (TCM) has been shown to regulate key glycolysis enzymes (such as HK2 and PKM2), metabolic signaling pathways (such as PI3K/AKT/mTOR, HIF-1α) and non-coding RNAs at multiple targets, thus synergistically inhibiting lactate accumulation, improving vascular abnormalities, and relieving metabolic inhibition of immune cells. Studies have shown that TCM monomers and formulas can promote immune cell infiltration and functions, improve metabolic microenvironment, and with the assistance by the nano-delivery system, enhance the precision of treatment. However, the dynamic mechanism of the interaction between TCM-regulated glycolysis and TME has not been fully elucidated, for which single-cell sequencing and other technologies provide important technical support to facilitate in-depth analysis and clinical translational research. Future studies should be focused on the synergistic strategy of "metabolic reprogramming-immune activation" to provide new insights into the mechanisms of tumor immunotherapy.
Humans ; Tumor Microenvironment/immunology* ; Glycolysis/drug effects* ; Neoplasms/drug therapy* ; Medicine, Chinese Traditional ; Signal Transduction ; Drugs, Chinese Herbal/pharmacology*

Objective To assess the diagnostic value of magnetization transfer MRI (MTI) for bowel inflammation and fibrosis in humans with Crohn disease (CD). Methods From July 2014 through April 2017, 31 patients with a confirmed diagnosis of CD were prospectively recruited from the First Affiliated Hospital of Sun Yat Sen University. They were scheduled for elective surgery due to bowel obstruction and other complications, and underwent preoperative MR enterography (MRE) and MTI within 15 days of surgery. All cases had available intestinal specimens identified on MRE and resected bowel segments for region by region matching. All patients underwent breath hold conventional MRE and MTI examinations, and then the magnetization transfer ratios (MTRs) of pathological bowel segments were measured. Using region by region correlation between MTI and surgical specimen, the bowel segments were resected to stain with HE for evaluating bowel inflammation, Masson for bowel fibrosis, and typeⅠcollagen staining for the deposition of typeⅠcollagen within the bowel walls. The histologic sections from the most severe areas were scored as 0 (normal), 1 (mild), 2 (moderate) and 3 (severe). The correlations between MTR and histologic scores were analyzed by using Spearman rank correlation or partial correlation. The differences in MTR among different grades of bowel fibrosis were analyzed by one way ANOVA. The efficacy of MTR for predicting bowel fibrosis was evaluated by receiver operating characteristic curves analysis. The difference in MTRs between purely inflammatory bowel walls and mixed fibrotic and inflammatory bowel walls was analyzed by Student s t test. Results Sixty two resected bowel specimens from 31 patients including 9 purely inflammatory bowel walls and 53 mixed fibrotic and inflammatory bowel walls were obtained in this study. There were significant differences in MTR among non fibrotic [(21.45 ± 2.65)%], mildly [(30.88 ± 6.14)%], moderately [(35.14 ± 4.31)%] and severely [(35.14 ± 4.31)%] fibrotic walls (F=38.397,P<0.01). MTRs strongly correlated with fibrosis scores (r=0.681, P<0.01). High accuracy of MTRs was shown (curve under area=0.905, P<0.01) for differentiating moderately severely fibrotic from non fibrotic and mildly fibrotic bowel walls. Using MTR of 31.50% as a cutoff value, the sensitivity and specificity were 93.6% and 80.0%, respectively. The MTRs of purely inflammatory bowel walls [(21.45 ± 2.65)%] were significantly higher than that of mixed fibrotic and inflammatory [(36.28±5.21)%] bowel walls (t=-13.052,P<0.01). MTRs correlated with the scores of type Ⅰ collagen (r=0.325, P=0.044) but did not correlate with inflammation scores (r=-0.024, P=0.857). Conclusions MTI enables quantitative evaluation of bowel fibrosis in patients with CD and can be used to differentiate purely inflammatory CD from mixed fibrotic and inflammatory CD.

OBJECTIVETo explore the distribution and antibiotic resistance of pathogens in lesions of diabetic foot osteomyelitis (DFO) and analyze the risk factors causing osteomyelitis.

METHODSA total of 372 patients with diabetic foot infections hospitalized between January 2011 and December 2014, including 203 with osteomyelitis (OM group) and 169 without osteomyelitis (non-OM group), were examined for the distribution and antibiotic resistance profile of the pathogens in the wounds. Logistic regression analysis was used to analyze the risk factors causing osteomyelitis.

RESULTSGram-negative bacteria were the predominant pathogens (53.7%) in the infected wounds in OM group, whereas Gram-positive bacteria were the most frequently found (56.7%) in non-OM group (P=0.001). Among the Gram-positive bacteria, Staphylococcus was the dominating flora (35.1%). The resistance rate to oxacillin and cefoxitin of the isolated bacteria in OM group (64.9% and 68.5%, respectively) was significantly higher than that in non-OM group (29.2% and 32.6%, respectively; P<0.05). Among the gram-negative bacteria, Enterobacteriaceae was the dominating flora (62.4%), with a higher resistance rate to Cefepime and Aztreonam in OM group (30.1% and 38.6%, respectively) than in non-OM group (15.1% and 22.2%, respectively; P<0.05). Logistic regression analysis indicated that the infection by multi-drug resistant bacteria and an wounds area >4 cm(2) were the risk factors for osteomyelitis in patients with diabetic foot infections (P<0.05).

CONCLUSIONIn addition to an empirical anti-infection therapy, clinicians should choose specific antibiotics against Gram-negative bacteria according to the microbial spectrum and antibiotic resistance of pathogens in patients with DFO; patients with diabetic foot infections by multi-drug resistant bacteria and those with a wound area exceeding 4 cm(2) are exposed to an increased risk of osteomyelitis.

Anti-Bacterial Agents ; Cephalosporins ; Diabetic Foot ; microbiology ; Drug Resistance, Multiple, Bacterial ; Gram-Negative Bacteria ; classification ; isolation & purification ; Gram-Positive Bacteria ; classification ; isolation & purification ; Humans ; Osteomyelitis ; microbiology ; Risk Factors ; Wound Infection ; microbiology

Objective To explore the distribution and antibiotic resistance of pathogens in lesions of diabetic foot osteomyelitis (DFO) and analyze the risk factors causing osteomyelitis. Methods A total of 372 patients with diabetic foot infections hospitalized between January 2011 and December 2014, including 203 with osteomyelitis (OM group) and 169 without osteomyelitis (non-OM group), were examined for the distribution and antibiotic resistance profile of the pathogens in the wounds. Logistic regression analysis was used to analyze the risk factors causing osteomyelitis. Results Gram-negative bacteria were the predominant pathogens (53.7%) in the infected wounds in OM group, whereas Gram-positive bacteria were the most frequently found (56.7%) in non-OM group (P=0.001). Among the Gram-positive bacteria, Staphylococcus was the dominating flora (35.1%). The resistance rate to oxacillin and cefoxitin of the isolated bacteria in OM group (64.9%and 68.5%, respectively) was significantly higher than that in non-OM group (29.2%and 32.6%, respectively;P<0.05). Among the gram-negative bacteria, Enterobacteriaceae was the dominating flora (62.4%), with a higher resistance rate to Cefepime and Aztreonam in OM group (30.1% and 38.6%, respectively) than in non-OM group (15.1% and 22.2%, respectively; P<0.05). Logistic regression analysis indicated that the infection by multi-drug resistant bacteria and an wounds area >4 cm2 were the risk factors for osteomyelitis in patients with diabetic foot infections (P<0.05). Conclusions In addition to an empirical anti-infection therapy, clinicians should choose specific antibiotics against Gram-negative bacteria according to the microbial spectrum and antibiotic resistance of pathogens in patients with DFO; patients with diabetic foot infections by multi-drug resistant bacteria and those with a wound area exceeding 4 cm2 are exposed to an increased risk of osteomyelitis.

Objective To explore the distribution and antibiotic resistance of pathogens in lesions of diabetic foot osteomyelitis (DFO) and analyze the risk factors causing osteomyelitis. Methods A total of 372 patients with diabetic foot infections hospitalized between January 2011 and December 2014, including 203 with osteomyelitis (OM group) and 169 without osteomyelitis (non-OM group), were examined for the distribution and antibiotic resistance profile of the pathogens in the wounds. Logistic regression analysis was used to analyze the risk factors causing osteomyelitis. Results Gram-negative bacteria were the predominant pathogens (53.7%) in the infected wounds in OM group, whereas Gram-positive bacteria were the most frequently found (56.7%) in non-OM group (P=0.001). Among the Gram-positive bacteria, Staphylococcus was the dominating flora (35.1%). The resistance rate to oxacillin and cefoxitin of the isolated bacteria in OM group (64.9%and 68.5%, respectively) was significantly higher than that in non-OM group (29.2%and 32.6%, respectively;P<0.05). Among the gram-negative bacteria, Enterobacteriaceae was the dominating flora (62.4%), with a higher resistance rate to Cefepime and Aztreonam in OM group (30.1% and 38.6%, respectively) than in non-OM group (15.1% and 22.2%, respectively; P<0.05). Logistic regression analysis indicated that the infection by multi-drug resistant bacteria and an wounds area >4 cm2 were the risk factors for osteomyelitis in patients with diabetic foot infections (P<0.05). Conclusions In addition to an empirical anti-infection therapy, clinicians should choose specific antibiotics against Gram-negative bacteria according to the microbial spectrum and antibiotic resistance of pathogens in patients with DFO; patients with diabetic foot infections by multi-drug resistant bacteria and those with a wound area exceeding 4 cm2 are exposed to an increased risk of osteomyelitis.

Object To study the inhibitory effects and mechanism of pseudolaric acid B (PAB) on the growth of LiBr cell line. Methods PAB in different concentrations was added into the medium in which LiBr cells were cultured. The changes of cell morphology were observed by phase contrast microscope. Cytotoxicity of PAB was detected by MTT. The number of apoptotic cell was calculated by double fluorescent staining. The level of p21 WAF1 protein was measured with immunocytochemistry. Results The growth of LiBr cell line was remarkably inhibited by PAB. The IC 50 values of PAB for LiBr cells was 2.5?10 -5 mol/L. The inhibitory rate and the apoptotic cell rate were related with the medicine concentration. The level of p21 WAF1 protein in LiBr cells treated with PAB was obviously increased. Conclusion PAB can effectively inhibit the proliferation of LiBr cell line.