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OBJECTIVE@#To investigate the clinical characteristics of lower extremity arterial disease (LEAD) and its risk factors in patients with diabetic foot ulcer (DFU).@*METHODS@#We retrospectively collected the clinical and follow-up data of 650 patients with DFU treated in the Department of Endocrinology and Metabolism of Nanfang Hospital between January, 2017 and December, 2019. We compared the data between patients who had LEAD and those without LEAD and used a multivariate logistic regression model to analyze the risk factors of LEAD in DFU patients.@*RESULTS@#Among the 650 DFU patients, 470 (72.4%) had LEAD. The patients were followed up for a mean of 3.5 months, and the mean healing time of DFU was 2.55 months; healing of DFU occurred in 453 patients and 183 patients received amputation. The patients with LEAD and those without LEAD differed significantly in age, hospitalization costs, diastolic blood pressure (DBP), glycated hemoglobin, blood lipid levels, disease course, ankle brachial index, healing time, smoking history, clinical outcomes, Wagner grade and imaging results (P < 0.05). Multivariate logistic regression analysis identified age (OR=1.070, 95% CI: 1.049-1.091), smoking history (OR= 2.013, 95% CI: 1.268-3.195), and a decreased DBP (OR=0.980, 95% CI: 0.963-0.997) as independent risk factors for LEAD in DFU patients. A prolonged healing time was a prominent clinical feature of DFU complicated by LEAD.@*CONCLUSION@#DFU patients have a high incidence of LEAD, which leads to high rates of disability and mortality and is associated with an advanced age, high smoking rate and longer healing time. A decreased DBP is also a risk factor for LEAD in DFU patients.
Subject(s)
Humans , Amputation, Surgical , Diabetes Mellitus , Diabetic Foot/epidemiology , Lower Extremity , Retrospective Studies , Risk FactorsABSTRACT
<p><b>OBJECTIVE</b>To analyze the characteristics of pathogenic microorganisms in the infected bone tissues in patients with diabetic foot osteomyelitis (DFO) using 16S rRNA high-throughput sequencing to facilitate rapid and accurate detection of pathogens and effective infection control.</p><p><b>METHODS</b>Between September, 2016 and April, 2017, 16 patients with DFO were admitted in our department and infected bone specimens were obtained during debridement. The pathogenic microorganisms in the specimens were identified using both 16S rRNA high-throughput sequencing and automatic blood culture analyzer, and the characteristics of the microflora were analyzed based on 16S rRNA sequencing data in comparison with the results of blood culture.</p><p><b>RESULTS</b>The results of 16S rRNA sequencing showed that bone tissues of DFO contained diverse and uniformly distributed pathogenic organisms, among which 20 (87%) dominant genera were identified with Prevotella as the most abundant pathogen. Both 16S rRNA sequencing and routine culture results suggested the domination of gram-negative bacteria among the pathogens in DFO bone tissues. 16S rRNA sequencing, compared with routine culture, yielded a higher positivity rate (100% vs 88.24%) and detected a greater average number of pathogens (12.56 vs 1.50) and a higher proportion of gram-negative bacteria (67.16% vs 50.00%) in the samples. 16S rRNA sequencing detected nearly all the pathogens identified by routine culture except for Escherichia coli, Serratia marcescens and Enterobacter cloaca, and identified 13 genera that failed to be detected by routine culture, including the obligate or strict anaerobes Anaerococcus, Veillonella, Bacteroides, Fusobacterium, Porphyromonas, Finegoldia, Prevotella, Peptostreptococcus, Parvimonas, Peptoniphilus and Bulleidia. Routine culture did not detect any anaerobes in the samples but identified multidrug-resistant strains in as many as 58.33% of the pathogens.</p><p><b>CONCLUSIONS</b>16S rRNA high-throughput sequencing is capable of demonstrating the diversity and abundance of microflora in DFO bone tissues, where diverse and uniformly distributed pathogens can be detected with a discrete distribution of the dominant genera, most of which are gram-negative. Compared with routine culture method, 16S rRNA sequencing allows more convenient and accurate identification of the pathogens (especially gram-negative bacteria and anaerobes), and can be useful in clinical decision on appropriate treatment of DFO.</p>
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<p><b>OBJECTIVE</b>To investigate foot biomechanics characteristic of patients with type 2 diabetes mellitus.</p><p><b>METHODS</b>This study was conducted among 303 patients with type 2 diabetes. The whole foot was divided into 10 regions, namely the first toe (T1); the second to fifth toes (T2-5); the first, second, third, fourth, and fifth metatarsals (M1, M2, M3, M4, and M5, respectively); midfoot (MF), and the heel medial (HM). Foot arch index, foot angle and maximum peak pressure (MPP) of the 10 regions were measured using a Footscan gait system.</p><p><b>RESULTS</b>The maximum peak pressure of 10 regions decreased in the order of M3>M2>HM>M4>HL>M1>M5>T1>ML>T2-5 for the left foot, and in the order of M3>M2>HM>M4>HL>M1>M5>T1>ML>T2-5 for the right foot. The MPP in M1 region was higher in the right than in the left foot (P<0.05). The MPP in M3, M4, M5, and MF was higher in the left than in the right foot (P<0.05). The percentage of high-risk foot (defined by a total plantar pressure ≥70 N/cm) was 34% on the left and 17.7% on the right. An increased BMI was associated with a significant increase in high-risk foot, but not for the right foot in underweight patients. Foot flat phase was extended and forefoot push-off phase shortened in stance phase in the patients. Compared with the right foot, the left foot showed a significantly increased foot arch index and increased low and high arch rates with a decreased normal arch rate. Total plantar pressure was higher in of the left high arch foot than in normal arch foot. The foot angle was significantly larger on the right than on the left. The bilateral total plantar pressures were significantly greater in male patients (P<0.05) and increased with age but were not associated with the duration of DM, foot angle, or glycosylated hemoglobin level.</p><p><b>CONCLUSION</b>Diabetic patients have obvious alterations in foot biomechanics with abnormalities of the plantar pressure, and the percentage of high-risk foot increases in overweight and obese patients, suggesting the need of body weight control in these patients when administering offloading treatment for prevention of diabetic foot ulcer.</p>
Subject(s)
Female , Humans , Male , Biomechanical Phenomena , Diabetes Mellitus, Type 2 , Diabetic Foot , Foot , Gait , Heel , Obesity , Overweight , PressureABSTRACT
<p><b>OBJECTIVE</b>To investigate the role of extracellular signal-regulated kinase (ERK) in apoptosis of human colon cancer (HCT116) cells.</p><p><b>METHODS</b>After the HCT116 cells were pretreated with specific ERK inhibitor (U0126) or specific siRNA and exposed to 10 mmol/L sodium butyrate (NaBT) for 24 h, their apoptosis was detected by flow cytometry, levels of SphK2 and ERK protein were measured by Western blot, and translocation of SphK2 was assayed by immunofluorescence microscopy.</p><p><b>RESULTS</b>The U0126 and siRNAs specific for SphK2 blocked the export of SphK2 from nuclei to cytoplasm and increased the apoptosis of HCT116 cells following NaBT exposure. Over-expression of PKD decreased NaBT-induced apoptosis of HCT116 cells, which was reversed by U0126. Furthermore, transfection of HCT116 cells with constitutively activated PKD plasmids recovered the U0126-blocked export of SphK2.</p><p><b>CONCLUSION</b>ERK regulates the export of SphK2 and apoptosis of HCT116 cells by modulating PKD. Modulation of these molecules may help increase the sensitivity of colon cancer cells to the physiologic anti-colon cancer agent, NaBT.</p>