Objective To investigate the effects of m6A methylation modification and changes in oxidative stress levels on the progression of colorectal cancer(CRC)in Apemin/+mice with normal and high-fat diets.Methods C57BL/6J mice and Apcmin/+mice were fed with a normal or high-fat diet(60％fat)for 2(S group),6(M group),or 12 weeks(L group),respectively.Food intake,body mass,and the size,number,and volume of small intestinal polyps and colon tumors were then measured.Protein expression levels of the cancer markers Ki-67 and proliferating cell nuclear antigen in colon tissues were detected by immunohistochemical staining and the serum levels or activities of the antioxidant enzymes catalase,reduced glutathione,and lipid peroxide malondialdehyde were detected using appropriate kits.mRNA expression levels of m6A methylation-related enzymes in colon tissues were detected by RT-qPCR and total levels of m6A methylation modification in colon tissues were detected.Results(1)Apcmin/+mice showed rapid tumor growth from the early to middle stages of cancer.Tumor proliferation from the middle to late stages of cancer was slowed in mice fed a normal diet,while a high-fat diet promoted the further development of cancer.(2)Decreased m6A methylation levels and enhanced antioxidant capacity may have delayed advanced tumor development in Apcmin/+mice fed a normal diet.(3)In contrast,a high-fat diet may have promoted the sustainable development of CRC by increasing the total level of m6A methylation,while the enhanced antioxidant capacity may have been insufficient to resist the promoting effect of m6A methylation on CRC.Conclusions A high-fat diet may promote the advancement of CRC compared with a normal diet by affecting m6A methylation modification.Both normal and high-fat diets enhanced the antioxidant capacity,suggesting that antioxidant effects may initiate self-protection mechanisms during cancer progression.

Heart failure(HF)is a cardiovascular disease with a high prevalence and mortality rate worldwide,and despite the widespread use of existing drugs,device intervetions and surgical procedures,the clinical outcomes are still unsatisfactory.The exploration of new methods to treat HF is still an urgent problem.Gene therapy provides a new therapeutic strategy for HF by targeting the regulation of pathogenic genes.This article systematically reviewed the delivery system optimization,key targets and clinical translational challenges of gene therapy for HF,aiming to provide a theoretical basis for the optimization of treatment strategies.

As one of the chronic diseases with high incidence in contemporary society, cervical spondylosis has increasing patient groups who gradually present a low age, and it seriously affects social and public health. Although modern medicine has made great progress in the pathological research and clinical treatment of cervical spondylosis, patients still face gastrointestinal side effects of nonsteroidal anti-inflammatory drugs(NSAIDs), neck pain, limited mobility, upper limb numbness, and other symptoms after conservative or surgical treatment. In the theory of traditional Chinese medicine(TCM), cervical spondylosis belongs to the categories of "Bi syndrome" "stiff neck" "stiff Bi", etc. With the change of the times, the change of lifestyle, and the application of western medicine treatment, the etiology and pathogenesis of TCM in cervical spondylosis also show new characteristics. In terms of etiology and pathogenesis, it involves the invasion of wind, cold, and dampness, long-term strain, liver and kidney deficiency, Qi and blood stasis, which are associated with factors such as cervical degeneration, muscle tension and spasm, intervertebral disc herniation, and nerve root compression in modern medicine. In terms of the evolution of pathogenesis, in the early stage, wind, cold, and dampness, were more common in Xuanfu, resulting in unfavorable muscles and bones, poor flow of Qi and blood, and cervical spondylosis and radiculopathy. Medium-term phlegm stasis and internal knots, sluggish muscles and veins, and long-term weathering and fire are more likely to occur in the vertebral artery and sympathetic radiculopathy. In the later stage, the positive Qi is depleted; the true Yin is damaged, and the viscera Qi and blood are deficient, which is most common in cervical myelopathy. The strategy of treating cervical spondylosis with TCM classic formulas applies Gegen Decoction, Wutou Decoction, Qianghuo Shengshi Decoction, Mahuang Jiazhu Decoction to patients with wind, cold, and dampness. Patients with phlegm dampness and blood stasis are treated with Huoxue Xiaoling Dan, Jinlingzi Powder, Siwu Decoction, Banxia Baizhu Tianma Decoction, Shuanghe Decoction, etc. For those patients with liver, spleen, and kidney deficiency, Huangqi Guizhi Wuwu Decoction, Tianma Gouteng Decoction, Guishao Dihuang Pills, Shenling Baizhu Powder, and Lizhong Decoction are used to invigorate the spleen, nourish Qi and blood, and tonify liver and kidney. In clinical practice, the authors advocate a safe and effective treatment plan of classic formulas based on deficiency and excess, the integration of formulas and syndromes, and the combination of modern research results, so as to relieve symptoms, reduce recurrence, and reduce medical burden.
Humans ; Spondylosis/drug therapy* ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; Cervical Vertebrae/pathology*

Objective A scoping review of domestically and internationally published studies on finite element analysis(FEA)based on three-dimensional(3D)human body model in preventing pressure ulcer(PU)was conducted,aiming to provide new directions for improving the prevention strategies of pressure ulcer.Methods We conducted a systematic search in both Chinese and English medical databases,including PubMed,Embase,CINAHL,Web of Science,Cochrane Library,Sinomed,CNKI,Wanfang and VIP,and engineering database(Engineering Village Compen-dex).The search period was from the inception of each database to July 29,2024.The information was extracted,and the results were analyzed and standardized for reporting.Results A total of 30 studies were included.The general methods of FEA based on 3D human body model include establishing geometric model,meshing,defining material properties,loading and setting boundary conditions,and solving equations.According to the contents of studies,they could be categorized into 4 distinct application domains,including identification of risk groups(n=9),position management(n=9),preventive dressings(n=10)and supportive surfaces(n=7).Conclusion FEA based on 3D human body model provides a foundation to PU biomechanical mechanism research and a scientific basis to the supplement and optimization of clinical prevention.Future studies should integrate clinical problems with simulations and further optimize simulations techniques and protocols.

Objective A scoping review of domestically and internationally published studies on finite element analysis(FEA)based on three-dimensional(3D)human body model in preventing pressure ulcer(PU)was conducted,aiming to provide new directions for improving the prevention strategies of pressure ulcer.Methods We conducted a systematic search in both Chinese and English medical databases,including PubMed,Embase,CINAHL,Web of Science,Cochrane Library,Sinomed,CNKI,Wanfang and VIP,and engineering database(Engineering Village Compen-dex).The search period was from the inception of each database to July 29,2024.The information was extracted,and the results were analyzed and standardized for reporting.Results A total of 30 studies were included.The general methods of FEA based on 3D human body model include establishing geometric model,meshing,defining material properties,loading and setting boundary conditions,and solving equations.According to the contents of studies,they could be categorized into 4 distinct application domains,including identification of risk groups(n=9),position management(n=9),preventive dressings(n=10)and supportive surfaces(n=7).Conclusion FEA based on 3D human body model provides a foundation to PU biomechanical mechanism research and a scientific basis to the supplement and optimization of clinical prevention.Future studies should integrate clinical problems with simulations and further optimize simulations techniques and protocols.

Objective To investigate the effects of m6A methylation modification and changes in oxidative stress levels on the progression of colorectal cancer(CRC)in Apemin/+mice with normal and high-fat diets.Methods C57BL/6J mice and Apcmin/+mice were fed with a normal or high-fat diet(60％fat)for 2(S group),6(M group),or 12 weeks(L group),respectively.Food intake,body mass,and the size,number,and volume of small intestinal polyps and colon tumors were then measured.Protein expression levels of the cancer markers Ki-67 and proliferating cell nuclear antigen in colon tissues were detected by immunohistochemical staining and the serum levels or activities of the antioxidant enzymes catalase,reduced glutathione,and lipid peroxide malondialdehyde were detected using appropriate kits.mRNA expression levels of m6A methylation-related enzymes in colon tissues were detected by RT-qPCR and total levels of m6A methylation modification in colon tissues were detected.Results(1)Apcmin/+mice showed rapid tumor growth from the early to middle stages of cancer.Tumor proliferation from the middle to late stages of cancer was slowed in mice fed a normal diet,while a high-fat diet promoted the further development of cancer.(2)Decreased m6A methylation levels and enhanced antioxidant capacity may have delayed advanced tumor development in Apcmin/+mice fed a normal diet.(3)In contrast,a high-fat diet may have promoted the sustainable development of CRC by increasing the total level of m6A methylation,while the enhanced antioxidant capacity may have been insufficient to resist the promoting effect of m6A methylation on CRC.Conclusions A high-fat diet may promote the advancement of CRC compared with a normal diet by affecting m6A methylation modification.Both normal and high-fat diets enhanced the antioxidant capacity,suggesting that antioxidant effects may initiate self-protection mechanisms during cancer progression.

The outer membrane composed predominantly of lipopolysaccharide (LPS) is an essential biological barrier for most Gram-negative (G^-) bacteria. Lipopolysaccharide transport protein (Lpt) complex LptDE is responsible for the critical final stage of LPS transport and outer membrane assembly. The structure and function of LptDE are highly conserved in most G^- bacteria but absent in mammalian cells, and thus LptDE complex is regarded as an attractive antibacterial target. In recent 10 years, the deciphering of the three-dimensional structure of LptDE protein facilities the drug discovery based on such "non-enzyme" proteins. Murepavadin, a peptidomimetic compound, was reported to be the first compound able to target LptD, enlightening a new class of antibacterial molecules with novel mechanisms of action. This article is devoted to summarize the molecular characteristics, structure-function of LptDE protein complex and review the development of murepavadin and related peptidomimetic compounds, in order to provide references for relevant researches.

Warfarin is an irreplaceable oral anticoagulant for patients with mechanical heart valves, the stable pharmacogenetic-based warfarin dose prediction algorithms have improved the effectiveness and safety of warfarin anticoagulation therapy. Genetic factors are the main factors affecting the stable dose of warfarin. Single nucleotide polymorphisms such as VKORC1 and CYP2C9 affect the anticoagulation effect of warfarin through pharmacodynamic or pharmacokinetic pathways. Age, body surface area, combined use of drugs, and other nongenetic factors also affect the stable dose of warfarin. Previously published algorithms for warfarin dose prediction included mainly the white race, and most algorithms were constructed using traditional multiple linear regression. However, domestic studies have used machine learning methods to construct warfarin dose prediction algorithms based on the Chinese Han post-mechanical valve replacement population and have achieved better prediction efficiency. This article reviews the advances of warfarin anticoagulation influencing factors and the clinical application of stable dose prediction algorithms.

Warfarin is an irreplaceable oral anticoagulant for patients with mechanical heart valves, the stable pharmacogenetic-based warfarin dose prediction algorithms have improved the effectiveness and safety of warfarin anticoagulation therapy. Genetic factors are the main factors affecting the stable dose of warfarin. Single nucleotide polymorphisms such as VKORC1 and CYP2C9 affect the anticoagulation effect of warfarin through pharmacodynamic or pharmacokinetic pathways. Age, body surface area, combined use of drugs, and other nongenetic factors also affect the stable dose of warfarin. Previously published algorithms for warfarin dose prediction included mainly the white race, and most algorithms were constructed using traditional multiple linear regression. However, domestic studies have used machine learning methods to construct warfarin dose prediction algorithms based on the Chinese Han post-mechanical valve replacement population and have achieved better prediction efficiency. This article reviews the advances of warfarin anticoagulation influencing factors and the clinical application of stable dose prediction algorithms.