BACKGROUND:Because of its anti-inflammatory and antioxidant activities,Apelin-13 plays an effective role in the treatment of common clinical diseases such as neuroinflammation,cardiovascular injury and pneumonia.However,there is no relevant basic research on whether Apelin-13 also has a good effect in the treatment of inflammatory bone loss. OBJECTIVE:To explore the therapeutic effect and mechanism of Apelin-13 on inflammatory bone loss,in order to find potential drugs for the treatment of inflammatory bone loss. METHODS:(1)In vitro experiment:RAW264.7 cells were divided into three groups:control group,lipopolysaccharide group and treatment group.The control group was only added with DMEM complete medium;lipopolysaccharide group was added with lipopolysaccharide(100 ng/mL)induced inflammation DMEM medium;and the treatment group was added with 10 nmol/L Apelin-13+lipopolysaccharide induced inflammation DMEM medium.Then,24 hours after lipopolysaccharide induced inflammation,western blot was used to detect the marker proteins inducible nitric oxide synthase and CD86 of M1 macrophages,and cell immunofluorescence was extracted to detect the expression of inducible nitric oxide synthase.Finally,the same amount of receptor activator of nuclear factor-κB ligand(RANKL;50 ng/ml)was added to the control group,lipopolysaccharide group and treatment group to induce osteoclasts.The results of osteoclast induction were evaluated by tartrate-resistant acid phosphatase staining and F-actin staining after 6 days of induction.(2)In vivo experiment:Eighteen male C57bl/6 mice were randomly divided into three groups:sham group,lipopolysaccharide group and treatment group.The sham group received intraperitoneal injection of 0.1 mL of PBS;the lipopolysaccharide group was injected with 0.1 mL of PBS diluent containing lipopolysaccharide(5 mg/kg);and the treatment group was injected with 0.1 mL of PBS diluent containing lipopolysaccharide(5 mg/kg)+Apelin-13(100 μg/kg).After 7 days of continuous intraperitoneal injection,the mice in each group were killed on the 8th day,and two femurs of each mouse were collected.Half of them were scanned by micro-CT and analyzed by bone mineral density,and the other half were stained by hematoxylin-eosin staining RESULTS AND CONCLUSION:(1)In vitro experiment:Western blot results showed that the expressions of inducible nitric oxide synthase and CD86 in the lipopolysaccharide group were significantly higher than those in the control group,and Apelin-13 could significantly inhibit the M1 polarization of macrophages induced by lipopolysaccharide.Cell immunofluorescence results also showed that the expression of inducible nitric oxide synthase in the treatment group was lower than that in the lipopolysaccharide group.Besides,tartrate-resistant acid phosphatase staining and F-actin staining results showed that Apelin-13 inhibited the abnormal activation and bone resorption of lipopolysaccharide induced osteoclasts.(2)In vivo experiment:The results of micro-CT showed that systemic inflammation led to significant bone loss in the distal femur,while Apelin-13 could significantly inhibit bone loss in vivo.Hematoxylin-eosin staining results also showed that Apelin-13 could effectively alleviate inflammation induced bone loss in the distal femur of mice.To conclude,Apelin-13 can alleviate bone loss induced by systemic inflammation by inhibiting M1 polarization of macrophages,inhibiting abnormal activation of osteoclasts and bone resorption.

Lung cancer is the malignant tumor with the highest morbidity and mortality. The tumor-node-metastasis (TNM) staging has gradually shown its limitations in the accurate prediction of lung cancer, so it is urgent to construct a new clinical predictive model to guide the prevention and treatment of lung cancer. In recent years, as a comprehensive evaluation system based on peripheral immune related parameters, the value of peripheral immunoscore in the construction of predictive model has gradually become prominent. By quantifying the quantity and proportion of immune components in peripheral blood, the score can dynamically reflect the overall immune function and tumor microenvironment characteristics of the body. This paper systematically summarizes the latest research progress of peripheral immunoscore in early diagnosis, drug efficacy prediction, early warning of adverse reactions and prognosis evaluation of lung cancer, aiming to tap its potential clinical application value and provide some ideas and directions for developing new lung cancer-related predictive models.
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Humans ; Lung Neoplasms/drug therapy* ; Tumor Microenvironment ; Prognosis

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

The recurrent neural network architecture improves the processing ability of time-series data. However, issues such as exploding gradients and poor feature extraction limit its application in the automatic diagnosis of mild cognitive impairment (MCI). This paper proposed a research approach for building an MCI diagnostic model using a Bayesian-optimized bidirectional long short-term memory network (BO-BiLSTM) to address this problem. The diagnostic model was based on a Bayesian algorithm and combined prior distribution and posterior probability results to optimize the BO-BiLSTM network hyperparameters. It also used multiple feature quantities that fully reflected the cognitive state of the MCI brain, such as power spectral density, fuzzy entropy, and multifractal spectrum, as the input of the diagnostic model to achieve automatic MCI diagnosis. The results showed that the feature-fused Bayesian-optimized BiLSTM network model achieved an MCI diagnostic accuracy of 98.64% and effectively completed the diagnostic assessment of MCI. In conclusion, based on this optimization, the long short-term neural network model has achieved automatic diagnostic assessment of MCI, providing a new diagnostic model for intelligent diagnosis of MCI.
Humans ; Bayes Theorem ; Neural Networks, Computer ; Algorithms ; Brain ; Cognitive Dysfunction/diagnosis*

The electroencephalogram (EEG) signal is a general reflection of the neurophysiological activity of the brain, which has the advantages of being safe, efficient, real-time and dynamic. With the development and advancement of machine learning research, automatic diagnosis of Alzheimer's diseases based on deep learning is becoming a research hotspot. Started from feedforward neural networks, this paper compared and analysed the structural properties of neural network models such as recurrent neural networks, convolutional neural networks and deep belief networks and their performance in the diagnosis of Alzheimer's disease. It also discussed the possible challenges and research trends of this research in the future, expecting to provide a valuable reference for the clinical application of neural networks in the EEG diagnosis of Alzheimer's disease.
Humans ; Alzheimer Disease/diagnosis* ; Neural Networks, Computer ; Machine Learning ; Brain ; Electroencephalography

Wound repair is a fundamental task that the whole field of the Burn and Plastic surgery pays urgent attention to and longs for a breakthrough. In this column, wound repair balance laws theory is expounded and we are expecting people in the field gradually began to value the use of balance law. Guided by the law of balance principle, people are required to conduct scientific research, improve clinical technique and develop new materials. The theory is designed to improve the level of scientific research and clinical diagnosis, and will set up a new milestone in the field of wound repair.

Objective:To investigate the different outcomes of two types of acute kidney injury (AKI) according to standard of Kidney Disease: Improving Global Outcomes-AKI (KDIGO-AKI), and to analyze the risk factors that affect the prognosis of intensive care unit (ICU) patients in China.Methods:A secondary analysis was performed on the database of a previous study conducted by China Critical Care Clinical Trial Group (CCCCTG), which was a multicenter prospective study involving 3 063 patients in 22 tertiary ICUs in 19 provinces and autonomous regions of China. The demographic data, scores reflecting severity of illness, laboratory findings, intervention during ICU stay were extracted. All patients were divided into pure AKI (PAKI) and acute on chronic kidney disease (AoCKD). PAKI was defined as meeting the serum creatinine (SCr) standard of KDIGO-AKI (KDIGO-AKI SCr) and the estimated glomerular filtration rate (eGFR) at baseline was ≥ 60 mL·min -1·1.73 m -2, and AoCKD was defined as meeting the KDIGO-AKI SCr standard and baseline eGFR was 15-59 mL·min -1·1.73 m -2. All-cause mortality in ICU within 28 days was the primary outcome, while the length of ICU stay and renal replacement therapy (RRT) were the secondary outcome. The differences in baseline data and outcomes between the two groups were compared. The cumulative survival rate of ICU within 28 days was analyzed by Kaplan-Meier survival curve, and the risk factors of ICU death within 28 days were screened by Cox multivariate analysis. Results:Of the 3 063 patients, 1 042 were enrolled, 345 with AKI, 697 without AKI. The AKI incidence was 33.11%, while ICU mortality within 28 days of AKI patients was 13.91% (48/345). Compared with PAKI patients ( n = 322), AoCKD patients ( n = 23) were older [years old: 74 (59, 77) vs. 58 (41, 72)] and more critical when entering ICU [acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score: 23 (19, 27) vs. 15 (11, 22)], had worse basic renal function [eGFR (mL·min -1·1.73 m -2): 49 (38, 54) vs. 115 (94, 136)], more basic complications [Charlson comorbidity index (CCI): 3 (2, 4) vs. 0 (0, 1)] and higher SCr during ICU stay [peak SCr for diagnosis of AKI (μmol/L): 412 (280, 515) vs. 176 (124, 340), all P < 0.01]. The mortality and RRT incidence within 28 days in ICU of AoCKD patients were significantly higher than those of PAKI patients [39.13% (9/23) vs. 12.11% (39/322), 26.09% (6/23) vs. 4.04% (13/322), both P < 0.01], while no significant difference was found in the length of ICU stay. Kaplan-Meier survival curve analysis showed that the 28-day cumulative survival rate in ICU in AoCKD patients was significantly lower than PAKI patients (Log-Rank: χ2 = 5.939, P = 0.015). Multivariate Cox regression analysis showed that admission to ICU due to respiratory failure [hazard ratio ( HR) = 4.458, 95% confidence interval (95% CI) was 1.141-17.413, P = 0.032], vasoactive agents treatment in ICU ( HR = 5.181, 95% CI was 2.033-13.199, P = 0.001), and AoCKD ( HR = 5.377, 95% CI was 1.303-22.186, P = 0.020) were independent risk factors for ICU death within 28 days. Conclusion:Further detailed classification (PAKI, AoCKD) based on KDIGO-AKI SCr standard combined with eGFR is related to ICU mortality in critical patients within 28 days.

Objective To introduce the initial application experience of SUTURE (suture-undertent and underside-reposition-enhancement) technique in robotic-assisted radical prostatectomy and discuss its safety and effectiveness.Methods The surgeon has performed 64 cases of Robotic-assisted radical prostatectomy between November 2016 to April 2017.The mean age was (66.6 ± 1.6) years (53-81 years);median PSA was 15.29 ng/ml(1.41-152.53 ng/ml),tumor stage was T1cN0M0-T3bN0M0.The patients were diagnosed by ultrasound-guide prostate biopsy.The number of cores was 6-15,average Gleason score was 7.3 points (6-10 pionts).ECT and MR were used to assess local stage and bone metastasis.The tPSA and urine recovery (urine pad test) was followed-up regularly.SUTURE technique consists of two parts,control the DVC effectively by retain the puboprostatic ligaments and puboprostatic ligaments reconstruction.Result All cases were successfully completed without complication,the average operation time was 95 min (66-150 min);bleeding (106 ± 15) ml(50-300 ml).All the catheters were released 14 days after surgery.Postoperative pathological staging was pT2aN0-pT3bN1,25 cases of capsule invasion,12 cases with seminal vesicle invasion,37 cases with nerve invasion.Average Gleason score was 7.2 points (6-10 points).The median tPSA detected 4 weeks after surgery was 0.047 ng/ml(0.007-12.050 ng/ml).The follow-up time was 1-6 months.The rate of urine control in 1 month and 3 month were 40.8％ (20/49) and 75.8％ (25/33).Conclusions By using SUTURE technique we can control thedorsal vascular complexstrictly,and complete the puboprostatic ligaments reconstruction by stitch it to the anterior vesicourethral.The SUTRUE is a safe and effective systematic DVC controlling technique,and the early urinary control rate is satisfactory.

Patent literature is an important source of technological information.A comparative analysis of patents of military medical research institutions of the US Armed Forces in THOMSON INNOVATION patent database could reveal their research achievements and development,and provide inspiration and reference for the innovation and development of our military medical science.