Objective To study the effects of fat grafting on partial jaw deformity.Methods A total of 19 cases of partial jaw deformity.were used fat grafting in past 2.5 years,from January 2012 to June 2015.All analyses were to find suitable fat grafting method for partial jaw deformiw.Fat graft was obtained by low pressure suction and low speed centrifugation.Results A lot of 15 patients in this group had been followed up for 6 months to 2 years.9 patients was satisfied with once fat grafting and 6 with twice.Conclusions Fat grafting provides a useful alternative to partial jaw deformity with normal occlusion.But it also remains to be seen what the forward effects of fat grafting on partial jaw deformity are.

Objective To explore application effect of frequency synchrony respiratory decompression movement ( FSRDM) among patients with endovenous laser closure( EVLT) operation. Methods A total of 78 patients with varix of lower limb were averagely divided into control group ( postoperative routine nursing) and experimental group ( routine nursing and FSRDM) by admitted date. We observed pain degree at 6 h, 24 h, 3 d after the operation and recovery at 3,5 d after the operation. Results The pain of experimental group was lower than that of control group at 6 h and 24 h after operation (t= -2. 647,-2. 786, respectively;P<0. 05), and 3 days after operation, the swelling of 5 cm above and 10 cm below ankle in the experimental group were under these of control group as well (t= -2. 508,-2. 393, respectively; P<0. 05). 3 and 5 days after operation, the effective treatment rate of experimental group were 89. 74% and 97. 44%, comparing with 76. 92% and 82. 04% in the control group (Z= -3. 574,-3. 761, respectively; P<0. 05). Conclusions At the early period after ELVT, FSRDM can promote patients initiative of exercise, recovery and effect of operation and minimize limb pain and swelling.

Objective To explore the mechanism of Tongyangxiao Lotion(TYX)for promoting wound healing following surgery for anal fistula.Methods The active ingredients and drug targets of TYX were explored using TCMSP and BATMAN databases,and the targets associated with wound healing were screened using GeneCards and OMIM databases;the intersecting drug and wound-related targets were analyzed with protein-protein interaction(PPI)analysis and GO and KEGG enrichment analyses.In 25 SD rat models with simulated anal fistula surgery,the effect of wound dressing with TYX at low,medium and high doses(once daily for 14 days)on wound healing were assessed in comparison with potassium permanganate(PP)solution.The granulation tissues collected from the wounds were examined for pathological changes with HE staining and for TNF-α expression using immunohistochemistry.The expressions of 1β,TNF-α,IL-6 mRNA and proteins in the granulation tissue were detected using RT-qPCR,Western blotting or ELISA.Results Network pharmacology analysis yielded 156 common targets between TYX and wound healing,and among them IL-1β,TNF-α,and IL-6 were identified as potential targets of TYX for promoting wound healing.Six core components of TYX were capable of binding to IL-1β,TNF-α,and IL-6 with binding energies all below-6.0 Kcal/mol.In the rat models,the wounds with TYX and PP solution dressing showed significantly reduced inflammatory cell infiltration and increased fibroblasts and collagen deposition.TYX at the 3 doses and PP solution all significantly reduced the expressions of IL-6,IL-1β,TNF-α mRNA and IL-6 protein in the granulation tissues,but TYX at the medium and high doses produced significantly stronger effects than PP solution for lowering TNF-α protein expression and mRNA expressions of TNF-α and IL-6.Conclusion TYX accelerates wound healing by down-regulating the inflammatory factors and reducing inflammation in the wounds.

Objective To explore the mechanism of Tongyangxiao Lotion(TYX)for promoting wound healing following surgery for anal fistula.Methods The active ingredients and drug targets of TYX were explored using TCMSP and BATMAN databases,and the targets associated with wound healing were screened using GeneCards and OMIM databases;the intersecting drug and wound-related targets were analyzed with protein-protein interaction(PPI)analysis and GO and KEGG enrichment analyses.In 25 SD rat models with simulated anal fistula surgery,the effect of wound dressing with TYX at low,medium and high doses(once daily for 14 days)on wound healing were assessed in comparison with potassium permanganate(PP)solution.The granulation tissues collected from the wounds were examined for pathological changes with HE staining and for TNF-α expression using immunohistochemistry.The expressions of 1β,TNF-α,IL-6 mRNA and proteins in the granulation tissue were detected using RT-qPCR,Western blotting or ELISA.Results Network pharmacology analysis yielded 156 common targets between TYX and wound healing,and among them IL-1β,TNF-α,and IL-6 were identified as potential targets of TYX for promoting wound healing.Six core components of TYX were capable of binding to IL-1β,TNF-α,and IL-6 with binding energies all below-6.0 Kcal/mol.In the rat models,the wounds with TYX and PP solution dressing showed significantly reduced inflammatory cell infiltration and increased fibroblasts and collagen deposition.TYX at the 3 doses and PP solution all significantly reduced the expressions of IL-6,IL-1β,TNF-α mRNA and IL-6 protein in the granulation tissues,but TYX at the medium and high doses produced significantly stronger effects than PP solution for lowering TNF-α protein expression and mRNA expressions of TNF-α and IL-6.Conclusion TYX accelerates wound healing by down-regulating the inflammatory factors and reducing inflammation in the wounds.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Substantial progress in the use of chemo-photodynamic nano-drug delivery systems (nano-DDS) for the treatment of the malignant breast cancer has been achieved. The inability to customize precise nanostructures, however, has limited the therapeutic efficacy of the prepared nano-DDS to date. Here, we report a structurally defined tandem-responsive chemo-photosensitive co-nanoassembly to eliminate primary breast tumor and prevent lung metastasis. This both-in-one co-nanoassembly is prepared by assembling a biocompatible photosensitive derivative (pheophorbide-diphenylalanine peptide, PPA-DA) with a hypoxia-activated camptothecin (CPT) prodrug [(4-nitrophenyl) formate camptothecin, N-CPT]. According to computational simulations, the co-assembly nanostructure is not the classical core-shell type, but consists of many small microphase regions. Upon exposure to a 660 nm laser, PPA-DA induce high levels of ROS production to effectively achieve the apoptosis of normoxic cancer cells. Subsequently, the hypoxia-activated N-CPT and CPT spatially penetrate deep into the hypoxic region of the tumor and suppress hypoxia-induced tumor metastasis. Benefiting from the rational design of the chemo-photodynamic both-in-one nano-DDS, these nanomedicines exhibit a promising potential in the inhibition of difficult-to-treat breast tumor metastasis in patients with breast cancer.