Objective To evaluate the diagnostic value of multi-slice spiral CT (MSCT)for traumatic spleen and liver rupture.Methods We made a retrospective analysis of 140 cases of liver and spleen injury with clinical manifestations confirmed by operation.MSCT examination results and clinical data were compared.Results Of the 140 cases,male patients outnumbered female ones,and the peak age was 10 - 30 years old.The injuries were most commonly attributed to traffic accident and falling.There were 69 (49%)cases of spleen injury,5 1 (36%) cases of liver injury,and 20 (14%)cases of both.Liver and spleen injuries showed on MSCT examination were liver and spleen laceration, hematoma within the liver and spleen as well as hematoma beneath the envelop. Conclusion MSCT has an important diagnostic value for traumatic liver and spleen rupture and thus can guide clinical treatment choice.

Objective To investigate the copy number changes on chromosome 3q26. 1 in urothelial carcinoma of the bladder, and to explore its potential clinical significance. Methods The microarray-based comparative genomic hybridization (Array-CGH) approach was used to analyze the genome-wide copy number changes of 35 tumor tissue samples of bladder cancer. To confirm the loss of a small fragment in 3q26. 1 detected by Array-CGH, real-time fluorescent quantitative polymerase chain reaction (real-time PCR) was performed with 57 frozen tumor tissue samples and 34 formalinfixed paraffin-embedded (FFPE) tumor tissue samples. The urine sediment cells collected from 15 healthy volunteers and 29 bladder cancer patients were checked as above. Results The Array-CGH data showed that the copy number loss of a small fragment in 3q26. 1 was detected in 77.1% (27/35)of the tumor tissue samples investigated. Real-time PCR analysis validated this loss of a small fragment of 3q26.1 with high frequencies in both 57 frozen tumor samples and 34 FFPE tumor samples.The percentage of samples exhibiting loss was 78.9% (45/57) and 100. 0% (34/34) respectively.Furthermore, the relative copy number of the 3q26.1 small fragment was significantly lower in the urinary sediment cells of the patients (median=0. 0020), comparing with that of healthy controls (median=0. 0030) (P＜0.01). Conclusions Loss of the small fragment in 3q26.1 could be a characteristic genetic change of urothelial carcinoma of the bladder. It may serve as a potential molecular marker for bladder cancer.

Objective To explore the pattern of cervical nodal metastasis and the clinical significance of total thyroidectomy plus functional neck lymphadenectomy in papillary thyroid carcinoma patients. Methods Clinical and pathological data of 172 patients with papillary thyroid cancer who underwent total thyroidectomy plus functional neck lymph node dissection at Jinan Military General Hospital were retrospectively reviewed, including patient demographics, extent of surgery, parathyroid hormone level,recurrence, tumor pathology, such as tumor size, multifocality, capsular invasion, vascular invasion,extrathyroidal extension, and lymph node status. Results Of the 172 functional neck dissection patients (47 ambilateral), the incidence of lymphonodus metastasis in regions Ⅵ, Ⅳ and Ⅲ was 96. 3% ,78. 5%and 62.1% respectively. Rate of nodal metastasis was higher in patients with extracapsular invasion than in patients with no invasion ( P ＜ 0. 05 ). Serum parathyroid hormone levels significantly decreased immediately postoperatively in total thyroidectomy plus functional neck dissection and remained low for several weeks thereafter ( P ＜ 0. 01 ). The 5-, 10- and 15-year survival rate was ( 98. 83 ± 0. 82) %, (98. 23 ± 1.02 ) % and (96. 42 ± 1.43 )%, respectively. Conclusions Therapeutic neck lymph node dissection for papillary thyroid cancer is recommended for cervical nodal metastasis patients. Total thyroidectomy plus functional neck dissection is important in the treatment of papillary thyroid cancer.

Objective Aiming at detecting Staphylococcus aureus、Pseudomonas aeruginosa and Klebsiella pneumoniae in laboratory animals,the paper provides a rapid,sensitive and simple test method.Methods According to Staphylococcus aureus nuc gene,Pseudomonas aeruginosa LasI gene,Klebsiella pneumonia PhoE gene and general 16S rRNA gene, designed specific primers;Through the optimization of multiplex PCR primer concentrations and annealing temperature, the specificity and sensitivity of detection, establishing multiplex PCR system.Application of the PCR system test specimens of artificial infections and experiment animal feces is compared with traditional test method.Results Multiplex PCR amplification of Staphylococcus aureus (153 bp), Pseudomonas aeruginosa (600 bp) with Klebsiella pneumoniae (368 bp) and general (520 bp).The multiplex sensitivity for the purpose of 10pg, specificity of detection was not detected from other pathogens.Application of establishing multiplex PCR system to detect the artificial positive samples, and detect 1 Pseudomonas aeruginosa positive case in 76 fecals.Conclusions This paper established the multiplex PCR method which has the advantages of specific,sensitive,simple and rapid, and provides a reliable way for rapid test in laboratory animals microbiology.

The administration of mesenchymal stem cells (MSCs) as a therapy for liver disease holds great promise. MSCs can differentiate into hepatocytes, reduce liver inflammation, promote hepatic regeneration and secrete protective cytokines. However, the risks of iatrogenic tumor formation, cellular rejection and infusional toxicity in MSC transplantation remain unresolved. Accumulating evidence now suggests that a novel cell-free therapy, MSC-secreted exosomes, might constitute a compelling alternative because of their advantages over the corresponding MSCs. They are smaller and less complex than their parent cells and, thus, easier to produce and store, they are devoid of viable cells, and they present no risk of tumor formation. Moreover, they are less immunogenic than their parent cells because of their lower content in membrane-bound proteins. This paper reviews the biogenesis of MSC exosomes and their physiological functions, and highlights the specific biochemical potential of MSC-derived exosomes in restoring tissue homeostasis. In addition, we summarize the recent advances in the role of exosomes in MSC therapy for various liver diseases, including liver fibrosis, acute liver injury and hepatocellular carcinoma. This paper also discusses the potential challenges and strategies in the use of exosome-based therapies for liver disease in the future.
Carcinoma, Hepatocellular ; Cytokines ; Exosomes* ; Hepatocytes ; Homeostasis ; Humans ; Inflammation ; Liver Cirrhosis ; Liver Diseases* ; Liver* ; Mesenchymal Stromal Cells ; Parents ; Regeneration

Objective To evaluate the safety of the da Vinci Si surgical system in thyroid surgery and to accumulate operation experience .Methods The da Vinci Si surgical system consists of a surgeon's console, a patient-side robotic cart, and high-definition 3D vision system.The robot arm tips were introduced via a single axillary incision or small chest wall ports and attached to the arms of the robot .The surgeon , sitting at the con-sole, manipulated the EndoWrist instruments and endoscope view that transfer the surgeon 's movements to the arm tips.The so called EndoWrist'technology offers seven degrees of movements ( up, down, left, right, twist, et al) , thus exceeding the capacity of a surgeon's hand in open surgery .The da Vinci Si surgical system was used to perform thyroidectomy in two small pigs .The animals were intubated and kept anesthetized with halothane .Re-sults Four surgical procedures were done using the da Vinci Si system from beginning to the end , including 2 thyroidectomies and 2 thymectomies .No conversions to open or laparoscopic procedure was used .The procedure length was 61 minutes and 50 minutes, respectively.Conclusions Robotic thyroidectomy can be performed safe-ly by the experienced surgeons after short-term da Vinci Si surgical system training .The learning curve for robotic thyroidectomy is shorter .

Objective:To explore the clinical application value of a deep learning algorithm-based ultrasound biomicroscopy (UBM) image analysis system for primary angles-closure glaucoma (PACG) anterior located ciliary body.Methods:A diagnostic test study was conducted.A total of 2 132 UBM images from 726 eyes of 378 PACG patients who underwent UBM examination were collected at Renmin Hospital of Wuhan University from August 2022 to December 2023.The dataset was divided into a training set of 1 599 images and a test set of 533 images, and a deep learning algorithm was employed to construct a model.An additional 334 UBM images from 101 eyes of 69 PACG patients treated at Huangshi Aier Eye Hospital were selected to conduct external testing.A separate set of another 110 UBM images were selected for a human-machine competition to compare the accuracy and speed between anterior located ciliary body evaluation system and three senior ophthalmologists.Furthermore, eight junior ophthalmologists assessed the 110 UBM images independently without and with the assistance of the model, and the differences between the two evaluations were analyzed to assess the assisstance effect of the model.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY-2022-K109).Results:The model achieved an accuracy of 93.43% for anterior located ciliary body identification in the internal test set, with a sensitivity of 84.30% and a specificity of 97.78%.The model also performed well on the external test set with an accuracy of 92.81%.In the human-machine competition, the model's accuracy was comparable to that of the senior ophthalmologists and outperformed two of the three senior ophthalmologists.The average total time of the three senior ophthalmologists was 726.73 seconds, approximately 12.47 times longer than the model's 58.30 seconds.With model assistance, the diagnostic accuracy of the eight junior ophthalmologists was 86.71%, which was significantly higher than 76.25% without model assistance ( χ2=-7.550, P<0.001).And the image evaluation time was (714.91±213.82)seconds, which was significantly lower than (987.90±238.56)seconds without model assistance ( t=2.774, P<0.05). Conclusions:The UBM image analysis system based on a deep learning algorithm demonstrates high accuracy in diagnosing anterior located ciliary body in PACG and provides a strong support for the UBM image recognition training of junior ophthalmologists.

OBJECTIVETo evaluate surgical outcomes and the feasibility of robotic thyroidectomy and central neck dissection (CND).

METHODSThe clinical data of 40 patients of papillary thyroid microcarcinoma underwent total thyroidectomy (or lobectomy and isthmusectomy) and CND using the Da Vinci system through axillo-bilateral-breast approach in Jinan Military General Hospital of People's Liberation Army from February to December 2014 were analyzed retrospectively (robotic group). Other forty patients of papillary thyroid microcarcinoma underwent total thyroidectomy (or lobectomy and isthmusectomy) and CND by open approach were selected as the control (open group). Cosmetic satisfaction was assessed after a month postoperation by the numerical score system. t-test and χ(2) test were used to compare the clinical characters, total operative time, intraoperative estimated blood loss, postoperative hospital stay, number of lymph nodes removed, visual analogue scale for pain, postoperative complications, and cosmetic effect between the 2 groups.

RESULTSAll 80 patients were diagnosed of papillary thyroid microcarcinoma. The total thyroidectomy (or lobectomy/isthmusectomy) with CND of 40 patients were successfully performed by da Vinci Si surgical system. The numbers of total thyroidectomy of robotic group and the open group were 36 and 37, respectively. The numbers of metastatic lymph nodes of robotic group and open group were 14 and 15, respectively. The operation time of the robotic group was (130±12) minutes, which was longer than that of open group (98±11) minutes (t=12.432, P<0.05). The study showed statistical significant difference between the two groups regarding the visual analog scale pain assessment (1.9±0.9 vs.3.9±1.1, t=8.900, P<0.05). There were no statistical significant difference of intraoperative estimated blood loss, postoperative hospital stay, number of lymph nodes removed, and the complication rate between the 2 groups.Postoperative cosmetic result was more satisfying on the robotic group (9.1±0.5) than open group (4.8±1.5) (t=17.200, P<0.05).

CONCLUSIONSThe robotic total thyroidectomy (or lobectomy and isthmusectomy) and CND has similar surgery safety and feasibility as open procedures. The robotic thyroidectomy is a good alternative surgical modality for patients with papillary thyroid microcarcinoma who wish to avoid neck scars.

Axilla ; Breast ; Carcinoma, Papillary ; surgery ; Humans ; Length of Stay ; Lymph Nodes ; Neck Dissection ; Operative Time ; Postoperative Complications ; Postoperative Period ; Retrospective Studies ; Robotic Surgical Procedures ; Thyroid Neoplasms ; surgery ; Thyroidectomy ; methods

Cytochrome c is a type of heme proteins that are widely distributed in living organisms. It consists of heme and apocytochrome c, and has potential applications in bioelectronics, biomedicine and pollutant degradation. However, heterologous overexpression of cytochrome c is still challenging. To date, expression of the cytochrome c from uncultured anaerobic methanotrophic archaea has not been reported, and nothing is known about the function of this cytochrome c. A his tagged cytochrome c was successfully expressed in E. coli by introducing a thrombin at the N-terminus of CytC4 and co-expressing CcmABCDEFGH, which is responsible for the maturation of cytochrome c. Shewanella oneidensis, which naturally has enzymes for cytochrome c maturation, was then used as a host to further increase the expression of CytC4. Indeed, a significantly higher expression of CytC4 was achieved in S. oneidensis when compared with in E. coli. The successful heterologous overexpression of CytC4 will facilitate the exploitation of its physiological functions and biotechnological applications.
Anaerobiosis ; Archaea/metabolism* ; Cytochromes c/metabolism* ; Escherichia coli/metabolism* ; Heme/metabolism*

Objective:To construct an artificial intelligence (AI)-assisted system based on deep learning for corneal in vivo confocal microscopy (IVCM) image recognition and to evaluate its value in clinical applications. Methods:A diagnostic study was conducted.A total of 18 860 corneal images were collected from 331 subjects who underwent IVCM examination at Renmin Hospital of Wuhan University and Zhongnan Hospital of Wuhan University from May 2021 to September 2022.The collected images were used for model training and testing after being reviewed and classified by corneal experts.The model design included a low-quality image filtering model, a corneal image diagnosis model, and a 4-layer identification model for corneal epithelium, Bowman membrane, stroma, and endothelium, to initially determine normal and abnormal corneal images and corresponding corneal layers.A human-machine competition was conducted with another 360 database-independent IVCM images to compare the accuracy and time spent on image recognition by three senior ophthalmologists and the AI system.In addition, 8 trainees without IVCM training and with less than three years of clinical experience were selected to recognize the same 360 images without and with model assistance to analyze the effectiveness of model assistance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2021-K148).Results:The accuracy of this diagnostic model in screening high-quality images was 0.954.Its overall accuracy in identifying normal/abnormal corneal images was 0.916 and 0.896 in the internal and external test sets, respectively.Its accuracy reached 0.983, 0.925 in the internal test sets and 0.988, 0.929 in the external test sets in identifying corneal layers of normal and abnormal images, respectively.In the human-machine competition, the overall recognition accuracy of the model was 0.878, which was similar to the average accuracy of the three senior physicians and was approximately 300 times faster than the experts in recognition speed.Trainees assisted by the system achieved an accuracy of 0.816±0.043 in identifying corneal layers of normal and abnormal images, which was significantly higher than 0.669±0.061 without model assistance ( t=6.304, P<0.001). Conclusions:A deep learning-based assistant system for corneal IVCM image recognition is successfully constructed.This system can discriminate normal/abnormal corneal images and diagnose the corresponding corneal layer of the images, which can improve the efficiency of clinical diagnosis and assist doctors in training and learning.