Objective To explore the impact of suture configuration and fixation type on the biome-chanical strength of rotator cuff repair,using a factorial design study.Methods Sixteen fresh-frozen porcine shoulder samples were randomized into an anchorless double-row suture bridge transosseous su-tures(DS)group,an anchored double-row suture bridge transosseous-equivalent(DE)group,an an-chorless X-BOX construct transosseous sutures(XS)group,and an anchored X-BOX construct transos-seous-equivalent(XE)group,each of four,according to suture configuration(double-row suture bridge,traditional X-BOX construct)and fixation type(suture anchors,transosseous sutures).Then,their fatigue resistance(first-cycle excursion,gap length difference ratio,and the percentage of ex-posed footprints)and the failure strength(the maximum failure load and the re-tear type)were mea-sured using a biomechanical material testing machine.Results Different suture configurations affected failure strength(F=39.559,P<0.001),with the double-row suture bridge groups(693.07±58.35 N,746.76±138.57 N)showing significantly higher failure strength,compared to the traditional X-BOX groups(462.90±18.91 N,421.43±90.76 N).However,the fixation type did not significantly im-pact failure strength(F=1.161,P=0.302).Moreover,the suture configuration influenced the gap differ-ence ratio(F=7.781,P=0.016),but had no significant correlation with other fatigue resistance indica-tors(P>0.05).Meanwhile,failure strength and fatigue resistance were not correlated with fixation type,and the interaction between suture and fixation type(P>0.05).The incidence of failure types for the four suture configurations was as follows:Type I tendon tear:XS>XE>DS=DE;type II tendon tear:DS>XE>XS=DE;fixing material-related failure:DE>DS=XE=XS.Conclusion The failure strength and gap formation ratio in rotator cuff repair under fatigue loading are influenced by suture configuration,whereas no significant association has been observed with respect to fixation method,whether using transosseous sutures or suture anchors.

Objective To explore the impact of suture configuration and fixation type on the biome-chanical strength of rotator cuff repair,using a factorial design study.Methods Sixteen fresh-frozen porcine shoulder samples were randomized into an anchorless double-row suture bridge transosseous su-tures(DS)group,an anchored double-row suture bridge transosseous-equivalent(DE)group,an an-chorless X-BOX construct transosseous sutures(XS)group,and an anchored X-BOX construct transos-seous-equivalent(XE)group,each of four,according to suture configuration(double-row suture bridge,traditional X-BOX construct)and fixation type(suture anchors,transosseous sutures).Then,their fatigue resistance(first-cycle excursion,gap length difference ratio,and the percentage of ex-posed footprints)and the failure strength(the maximum failure load and the re-tear type)were mea-sured using a biomechanical material testing machine.Results Different suture configurations affected failure strength(F=39.559,P<0.001),with the double-row suture bridge groups(693.07±58.35 N,746.76±138.57 N)showing significantly higher failure strength,compared to the traditional X-BOX groups(462.90±18.91 N,421.43±90.76 N).However,the fixation type did not significantly im-pact failure strength(F=1.161,P=0.302).Moreover,the suture configuration influenced the gap differ-ence ratio(F=7.781,P=0.016),but had no significant correlation with other fatigue resistance indica-tors(P>0.05).Meanwhile,failure strength and fatigue resistance were not correlated with fixation type,and the interaction between suture and fixation type(P>0.05).The incidence of failure types for the four suture configurations was as follows:Type I tendon tear:XS>XE>DS=DE;type II tendon tear:DS>XE>XS=DE;fixing material-related failure:DE>DS=XE=XS.Conclusion The failure strength and gap formation ratio in rotator cuff repair under fatigue loading are influenced by suture configuration,whereas no significant association has been observed with respect to fixation method,whether using transosseous sutures or suture anchors.

Objective The aim of this study was to draw single-cell transcriptome profiles of high-grade serous ovarian cancer(HGSOC),borderline ovarian cancer(OC),and normal ovaries in order to identify biomarkers that can diagnose and predict the prognosis of OC.Methods The differentially expressed genes between HGSOC,borderline OC,and normal ovarian tissues were ana-lyzed using single-cell data sequenced(SRA database:PRJNA756768).The cell subsets associated with tumor progression were screened by functional enrichment,cell communication between different subsets was analyzed by Cellchat,and cell differentiation traj-ectories were explored by pseudotime analysis to finally determine the subsets most relevant to tumor progression.Combined with OC transcriptome data of OC from the Cancer Genome Atlas(TCGA)with patient prognosis,biomarkers for diagnosing and predicting sur-vival of OC patients were ultimately screened.Results After using t-distribution stochastic neighbor embedding(t-SNE)for di-mensionality reduction,nine cell subpopulations were obtained:endothelial cells,myeloid cells,fibroblasts,T cells,stromal cells,B cells,and 3 epithelial cell subpopulations(C1,C4,and C7).Further analysis revealed that copy number variation(CNV)in the C4 group had the highest score in HGSOC,higher than those of borderline OC and normal ovaries,and was negatively correlated with prognosis.DMKN was a key marker gene in this group.Transcriptome analysis of OC in the TCGA database showed a close correlation between DMKN and poor prognosis(P=0.026),and the diagnostic efficacy of DMKN for OC was significant(A UC=0.906).Con-clusion This study is based on single-cell sequencing data to screen for DMKN,which can effectively diagnose and predict the prognosis of OC.This study provides new ideas for the diagnosis and prognosis prediction of OC.

The cancer-associated systemic inflammatory response is one of the critical indicators of tumor progression. Serum systemic inflammatory markers, such as neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio, systemic inflammation score, Glasgow prognostic score, prognostic nutritional index, C-reactive protein-albumin ratio, lymphocyte-C-reactive protein ratio, platelet-lymphocyte ratio, are associated with the prognosis of colorectal cancer (CRC) . Further research of the prognostic value of inflammatory marks in CRC can provide help for the prognosis of CRC.

Objective:To explore the mechanism of glycine dehydrogenase (GLDC) regulating the proliferation and apoptosis of ovarian cancer cells through PI3K/Akt/mTOR pathway.Methods:RNA interference method was used to silence the expression of GLDC in ovarian cancer cell lines HEY and SK-OV-3. The HEY and SK-OV-3 cells were divided into si-control group (transfected with siRNA-control), si-GLDC#1 group (trans-fected with siRNA-GLDC#1) and si-GLDC#2 group (transfected with siRNA-GLDC#2). The expression level of GLDC and the protein phosphorylation level of PI3K/Akt/mTOR were detected by Western blotting. Cell proli-feration, migration and apoptosis were detected by CCK-8 method, Transwell chamber test, cell scratch test and flow cytometry.Results:The relative expression levels of GLDC in the si-control group, si-GLDC#1 group amd si-GLDC#2 group of HEY cells were 1.00±0.01, 0.68±0.10, 0.80±0.08, and there was a statistically significant difference ( F=13.80, P=0.006). The relative expression levels of GLDC in the si-control group, si-GLDC#1 group and si-GLDC#2 group of SK-OV-3 cells were 1.02±0.01, 0.58±0.17, 0.60±0.25, and there was a statistically significant difference ( F=6.08, P=0.036). The absorbance ( A) values in the si-control group, si-GLDC#1 group and si-GLDC#2 group of HEY cells were 1.04±0.03, 0.91±0.02, 0.82±0.01 at 24 h after transfection, 1.53±0.13, 1.30±0.03, 1.29±0.07 at 48 h after transfection, 1.44±0.08, 1.25±0.01, 1.15±0.03 at 72 h after transfection, and there were statistically significant differences ( F=83.14, P<0.001; F=8.96, P=0.007; F=29.55, P<0.001). Further pairwise comparison showed that the proliferation abilities of the si-GLDC#1 and si-GLDC#2 group at 24, 48 and 72 h were significantly lower than those of the si-control group (all P<0.05). In HEY cells, the migration numbers of cells in the si-control group, si-GLDC#1 group and si-GLDC#2 group were 57.33±6.43, 27.67±5.13 and 30.67±2.31, and there was a statistically significantly difference ( F=32.88, P=0.001). The migration numbers of cells in the si-GLDC#1 group and si-GLDC#2 group were significantly lower than that in the si-control group ( P<0.001; P=0.001). Similar results were also observed in SK-OV-3 cells. In SK-OV-3 cells, the scratch healing rates in the si-control group, si-GLDC#1 group and si-GLDC#2 group were (51.27±1.59)%, (26.35±2.94)% and (26.34±7.69)%, and there was a statistically significant difference ( F=26.54, P=0.001). The scratch healing rates in the si-GLDC#1 group and si-GLDC#2 group were significantly lower than that in the si-control group (both P=0.001). In HEY cells, the apoptosis rates in the si-control group, si-GLDC#1 group and si-GLDC#2 group were (7.11±0.82)%, (10.44±1.50)%, (17.39±1.55)%, and there was a statistically significantly difference ( F=46.52, P<0.001). The apoptosis rates in the si-GLDC#1 group and si-GLDC#2 group were significantly higher than that in the si-control group ( P=0.022; P<0.001). Similar results were also observed in SK-OV-3 cells. In HEY cells, there was no significant difference in total PI3K protein in the si-control group, si-GLDC#1 group and si-GLDC#2 group ( F=0.54, P=0.631), but there were significant differences in pAkt/Akt and pmTOR/mTOR levels ( F=22.14, P=0.016; F=10.57, P=0.044). The pAkt/Akt and pmTOR/mTOR levels in the si-GLDC#1 group and si-GLDC#2 group were significantly lower than those in the si-control group ( P=0.015, P=0.008; P=0.039, P=0.023). Similar results were also observed in SK-OV-3 cells. Conclusion:In ovarian cancer cells, GLDC silencing can inhibit cell proliferation and promote apoptosis by inhibiting the PI3K/Akt/mTOR pathway.

When facing a sudden danger or aversive condition while engaged in on-going forward motion, animals transiently slow down and make a turn to escape. The neural mechanisms underlying stimulation-induced deceleration in avoidance behavior are largely unknown. Here, we report that in Drosophila larvae, light-induced deceleration was commanded by a continuous neural pathway that included prothoracicotropic hormone neurons, eclosion hormone neurons, and tyrosine decarboxylase 2 motor neurons (the PET pathway). Inhibiting neurons in the PET pathway led to defects in light-avoidance due to insufficient deceleration and head casting. On the other hand, activation of PET pathway neurons specifically caused immediate deceleration in larval locomotion. Our findings reveal a neural substrate for the emergent deceleration response and provide a new understanding of the relationship between behavioral modules in animal avoidance responses.

Objective This study was aimed to investigate the effects of ω-3 polyunstaurated fatty acids (ω-3 PUFAs) on the growth of gastric cancer cells in nude mice,and to find whether the Ros homolog gene Rho-associated coiled-coil containing protein kinase 1 (RHO-ROCK1) signaling pathway is involved.Methods 16 BALB/C nude mice were injected subcutaneously with SGC7901 gastric cancer cells to establish the tumor-bearing mouse model.The mice were randomized:control group (normal saline) and intervention group (ω-3 PUFAs).The mRNA expression of Ros homolog gene family,member A (RHOA),RHOC,and ROCK1 in tumor tissue were detected by quantitative polymerase chain reaction (qPCR).Immunofluorescence and Western blot were used to detect RHOA,RHOC,and ROCK1 protein expression.Results The volume and weight of the tumors in the ω-3 PUFAs group were slightly smaller than that in the control group (P ＞ 0.05).Compared to the control group,hematoxylin and eosin staining showed multifocal tumor necrosis in the ω-3 PUFAs group,while the tumors of the control group showed abundant blood supply.qPCR and Western blot showed that the mRNA and proteins expression of RHOA and ROCK1 in the ω-3 PUFAs group was significantly lower than those in the control group (P ＜ 0.05).The immunofluorescence redults also showed that the expression of these proteins in the ω-3 PUFAs group was slightly lower than that in the control group.Conclusions These results suggested that ω-3 PUFAs may affect the growth of gastric cancer in nude mice by affecting the expression of RHOA,RHOC and ROCK1,thus inhibiting the excessive proliferation of gastric cancer cells and leading to tumor necrosis.

Objective To evaluate the relationship between the degree of brain injury during the perioperative period of liver transplantation and postoperative cognitive dysfunction (POCD).Methods Thirtythree patients,undergoing elective liver transplantation,were enrolled in this study.Before induction of anesthesia (T0),at 5 min before blocking the portal vein (T1),5 min after opening the portal vein (T2),5 min after opening the hepatic artery (T3),and at 24 h after surgery (T4),blood samples were collected from the central vein for determination of the serum concentrations of S1O0β protein and neuron-specific enolase (NSE) by enzyme-linked immunosorbent assay.Patients were divided into POCD group and control group (group C) according to whether POCD happened within 7 days after surgery.Results Compared with the baseline value at T0,the serum concentrations of S100β protein were significantly increased at T2 and T3,and the serum concentrations of NSE was increased at T3 (P＜0.05).There was no significant difference in serum concentrations of S100β and NSE at each time point between group POCD and group C (P＞0.05).Conclusion The degree of brain injury during the perioperative period of liver transplantation is not the dominant factor for the development of POCD in the patients.

Cancer-associated inflammation is one of the key features of cancer. Many cytokines are involved in inflammation and its regulation and play important roles in many factors affecting tumor biology. Inflammation participates in the construction of tumor mi-croenvironments (TMEs) by changing the homeostasis of tumor tissues. The interaction of cytokines secreted by TME-infiltrating cells forms a complex network of cytokines that play a role in tumor progression through various mechanisms such as inflammation promo-tion, immune editing, and immune escape. This review aims at analyzing the research progress on the relationship between inflamma-tion, cytokine networks, and TMEs