Non-infectious chronic diseases in human including diabetes, non-alcoholic fatty liver disease (NAFLD), atherosclerosis (AS), neurodegenerative diseases, osteoporosis, as well as malignant tumors may have some common pathogenic mechanisms such as non-resolved inflammation (NRI), gut microbiota dysfunction, endoplasmic reticulum stress, mitochondria dysfunction, and abnormality of the mammalian target of rapamycin (mTOR) pathway. These pathogenic mechanisms could be the basis for "homotherapy for heteropathy" in clinic. Some commonly used clinical drugs, such as metformin, berberine, aspirin, statins, and rapamycin may execute therapeutic effect on their targeted diseases,and also have the effect of "homotherapy for heteropathy". The mechanisms of the above drugs may include anti-inflammation, modulation of gut microbiota, suppression of endoplasmic reticulum stress, improvement of mitochondria function, and inhibition of mTOR. For virus infectious diseases, as some viruses need certain commonly used replicases, the inhibitors of the replicases become examples of "homotherapy for heteropathy" for antiviral therapy in clinic (for example tenofovir for both AIDS and HBV infection). Especially, in case of outbreak of new emerging viruses, these viral enzyme inhibitors such as azvudine and sofibuvir, could be rapidly used in controlling viral epidemic or pandemic, based on the principle of "homotherapy for heteropathy". In this review article, we show the research progress of the biological basis for "homotherapy for heteropathy" and the possible mechanisms of some well-known drugs, in order to provide insights and new references for innovative drug R&D.

Peritoneal metastasis in gastric cancer is associated with rapid disease progression. Hyperthermic intraoperative peritoneal chemotherapy (HIPEC) done immediately after cytoreductive surgery (CRS) has become an important treatment for peritoneal metastasis in gastric cancer patients. However, different treatment options for HIPEC exist with potential influence on survival rates and prognosis in patients, exist. These treatment options include open or closed abdomen technique, perfusion solution, number of catheters, temperature, duration, and drug regimens. This paper aims to provide more evidence on standardization of HIPEC treatment options and technologies by systematically reviewing different drug regimens and technical approaches. The study included 2 randomized controlled trials, 3 phase I/II clinical trials, 2 prospective cohort studies, and 34 retrospective cohort studies, involving 1511 patients. The most common HIPEC option is to dissolve 50-75 mg/m 2 of Cisplatin and 30-40 mg/m 2 of Mitomycin C in 3-4 L saline solution at 42-43℃. After gastrointestinal anastomosis, 2-3 catheters are used in the HIPEC system with a perfusion flow rate of 500 ml/min. The duration is 60-90 minutes. Anastomotic leakage was low in studies where HIPEC was performed after gastrointestinal anastomosis. The utilization of open HIPEC and a two-drug regimen resulted in improved overall survival rates. The future development of HIPEC aims to enhance tumor-specific therapy by optimizing various aspects, such as identifying the safest and most effective chemotherapy regimens, refining patient selection criteria, and improving perioperative care.

Overexpression of P-glycoprotein(P-gp)is one of the major causes of therapeutic resistance to a variety of drugs,in-cluding antitumor drugs.P-gp has a wide range of substrates that are capable of expelling drugs from the cell via a twist-squeeze mechanism,leading to drug resistance.To address the problem of P-gp-mediated multidrug resistance,several inhibitors are being investigated.This article reviews the current small mole-cule compounds,natural source compounds and pharmaceutical excipients capable of inhibiting P-gp,and summarizes the cur-rent mechanisms of action of P-gp inhibitors,which are mainly competitive or non-competitive inhibition,stimulation of ATPase activity,down-regulation of expression,and metamorphic modu-lation.Currently,it is mainly the drug interactions and toxic re-actions that limit their clinical applications.

Infrared spectroscopy technology has many advantages such as high efficiency and non-destructiveness,and has an important research and application value in the field of petroleum pollutant classification and detection.In this study,a petroleum pollutant classification method by combing the discrete wavelet transform(DWT)algorithm and a one-dimensional convolutional neural network based on the Inception module(Inception-1D-CNN)was proposed.Firstly,the DWT algorithm was used to denoise the original infrared spectral data to eliminate the interference information caused by experimental environment,instrument error and manual operation.Then,the inception-1D-CNN model was used to obtain multi-scale infrared spectroscopy feature information,and then classify the petroleum pollutants.Experimental results showed that compared with preprocessing methods such as standard normal variable(SNV),adaptive iteratively reweighted penalized least squares(AirPLS),and Savitzky-Golay smoothing(S-G),the prediction accuracy of the DWT algorithm combined with the 1D-CNN model with a convolutional kernel size of 3×1 was 86.6%,which was 6.6%,6.6%and 3.3%higher,respectively.The prediction accuracy of DWT algorithm combined with 1D-CNN model with a convolutional kernel size of 5×1 was 93.3%,which was 10.0%,7.0%and 3.3%higher,respectively.The prediction accuracy of the DWT algorithm combined with the 1D-CNN model with a convolutional kernel size of 7×1 was 90.0%,which was 6.7%,10.0%and 3.4%higher,respectively.The prediction accuracy of the DWT algorithm combined with the inception-1D-CNN model was 100.0%,which was 10.0%,10.0%and 3.4%higher,respectively.Therefore,the DWT algorithm combined with the inception-1D-CNN model could accurately classify and predict petroleum pollutants,and provided a certain basis for the subsequent treatment of oil spills on the sea surface.

The transgender children and adolescents(TCAs)face serious social dilemmas in the process of gender identity and expression,which hinders this group from seeking reasonable and equal rights to survival and development.From the perspective of equal rights and the theoretical framework of social dilemma,by interviewing TCAs who seek help from medical social workers in a hospital's multi-disciplinary transgender clinic,this paper revealed that under the traditional system of"binary gender",TCAs lacked social inclusiveness and infrastructure,which led to the two major social dilemmas of"social traps"and"social barriers"encountered by this group in the process of gender expression and gender identity.Specifically,the social gender selection of TCAs often leads to collective irrational reactions and gender punishment,preventing their legal and effective medical services.To this end,the research team used critical methodology to construct a joint disciplinary diagnosis and treatment path for TCAs with the participation of medical social workers,as well as verified that the path has significant intervention effects in rationalizing the needs of TCAs and their families,alleviating their psychological pressure and social adaptation problems in the process of gender identity,fostering a diverse dialogue environment in their families,as well as enhancing their self-efficacy and social participation,to provide assistahce to the TCAs groups in social difficulties,assisting their rights and interests be included in the child-friendly indicator system,and improving the whole society's tolerance and understanding for TCAs group.

Peritoneal metastasis in gastric cancer is associated with rapid disease progression. Hyperthermic intraoperative peritoneal chemotherapy (HIPEC) done immediately after cytoreductive surgery (CRS) has become an important treatment for peritoneal metastasis in gastric cancer patients. However, different treatment options for HIPEC exist with potential influence on survival rates and prognosis in patients, exist. These treatment options include open or closed abdomen technique, perfusion solution, number of catheters, temperature, duration, and drug regimens. This paper aims to provide more evidence on standardization of HIPEC treatment options and technologies by systematically reviewing different drug regimens and technical approaches. The study included 2 randomized controlled trials, 3 phase I/II clinical trials, 2 prospective cohort studies, and 34 retrospective cohort studies, involving 1511 patients. The most common HIPEC option is to dissolve 50-75 mg/m 2 of Cisplatin and 30-40 mg/m 2 of Mitomycin C in 3-4 L saline solution at 42-43℃. After gastrointestinal anastomosis, 2-3 catheters are used in the HIPEC system with a perfusion flow rate of 500 ml/min. The duration is 60-90 minutes. Anastomotic leakage was low in studies where HIPEC was performed after gastrointestinal anastomosis. The utilization of open HIPEC and a two-drug regimen resulted in improved overall survival rates. The future development of HIPEC aims to enhance tumor-specific therapy by optimizing various aspects, such as identifying the safest and most effective chemotherapy regimens, refining patient selection criteria, and improving perioperative care.

Objective:To investigate the clinical features and therapeutic efficacy of patients with hereditary leiomyomatosis and renal cell carcinoma(RCC) syndrome-associated RCC (HLRCC-RCC) in China.Methods:The clinical data of 119 HLRCC-RCC patients with fumarate hydratase (FH) germline mutation confirmed by genetic diagnosis from 15 medical centers nationwide from January 2008 to December 2021 were retrospectively analyzed. Among them, 73 were male and 46 were female. The median age was 38(13, 74) years. The median tumor diameter was 6.5 (1.0, 20.5) cm. There were 38 cases (31.9%) in stage Ⅰ-Ⅱand 81 cases (68.1%) in stage Ⅲ-Ⅳ. In this group, only 11 of 119 HLRCC-RCC patients presented with skin smooth muscle tumors, and 44 of 46 female HLRCC-RCC patients had a history of uterine fibroids. The pathological characteristics, treatment methods, prognosis and survival of the patients were summarized.Results:A total of 86 patients underwent surgical treatment, including 70 cases of radical nephrectomy, 5 cases of partial nephrectomy, and 11 cases of reductive nephrectomy. The other 33 patients with newly diagnosed metastasis underwent renal puncture biopsy. The results of genetic testing showed that 94 patients had FH gene point mutation, 18 had FH gene insertion/deletion mutation, 4 had FH gene splicing mutation, 2 had FH gene large fragment deletion and 1 had FH gene copy number mutation. Immunohistochemical staining showed strong 2-succinocysteine (2-SC) positive and FH negative in 113 patients. A total of 102 patients received systematic treatment, including 44 newly diagnosed patients with metastasis and 58 patients with postoperative metastasis. Among them, 33 patients were treated with tyrosine kinase inhibitor (TKI) combined with immune checkpoint inhibitor (ICI), 8 patients were treated with bevacizumab combined with erlotinib, and 61 patients were treated with TKI monotherapy. Survival analysis showed that the median progression-free survival (PFS) of TKI combined with ICI was 18 (5, 38) months, and the median overall survival (OS) was not reached. The median PFS and OS were 12 (5, 14) months and 30 (10, 32) months in the bevacizumab combined with erlotinib treatment group, respectively. The median PFS and OS were 10 (3, 64) months and 44 (10, 74) months in the TKI monotherapy group, respectively. PFS ( P=0.009) and OS ( P=0.006) in TKI combined with ICI group were better than those in bevacizumab combined with erlotinib group. The median PFS ( P=0.003) and median OS ( P=0.028) in TKI combined with ICI group were better than those in TKI monotherapy group. Conclusions:HLRCC-RCC is rare but has a high degree of malignancy, poor prognosis and familial genetic characteristics. Immunohistochemical staining with strong positive 2-SC and negative FH can provide an important basis for clinical diagnosis. Genetic detection of FH gene germ line mutation can confirm the diagnosis. The preliminary study results confirmed that TKI combined with ICI had a good clinical effect, but it needs to be confirmed by the results of a large sample multi-center randomized controlled clinical study.

Background/Aims: Ubiquitination is widely involved in the progression of hepatocellular carcinoma (HCC) by regulating various cellular processes. However, systematic strategies for screening core ubiquitin-related genes, clarifying their functions and mechanisms, and ultimately developing potential therapeutics for patients with HCC are still lacking. Methods: Cox and LASSO regression analyses were performed to construct a ubiquitin-related gene prediction model for HCC. Loss- and gain-of-function studies, transcriptomic and metabolomics analysis were used to explore the function and mechanism of UBE2S on HCC cell glycolysis and growth. Results: Based on 1,423 ubiquitin-related genes, a four-gene signature was successfully constructed to evaluate the prognosis of patients with HCC. UBE2S was identified in this signature with the potential to predict the survival of patients with HCC. E2F2 transcriptionally upregulated UBE2S expression by directly binding to its promoter. UBE2S positively regulated glycolysis in a HIF-1α-dependent manner, thus promoting the proliferation of HCC cells. Mechanistically, UBE2S enhanced K11-linkage polyubiquitination at lysine residues 171 and 196 of VHL independent of E3 ligase, thereby indirectly stabilizing HIF-1α protein levels by mediating the degradation of VHL by the proteasome. In particular, the combination of cephalomannine, a small molecule compound that inhibits the expression of UBE2S, and PX-478, an inhibitor of HIF-1α, significantly improved the anti-tumor efficacy. Conclusions UBE2S is identified as a key biomarker in HCC among the thousands of ubiquitin-related genes and promotes glycolysis by E3 enzyme-independent ubiquitination, thus serving as a therapeutic target for the treatment of HCC.

Objective:To develop a preoperative CT image segmentation algorithm based on artificial intelligence deep learning technology for total hip arthroplasty (THA) revision surgery, and to verify and preliminarily apply it.Methods:A total of 706 revision cases with clear CT data from April 2019 to October 2022 in Chinese PLA General Hospital were retrospectively analyzed, including 520 males, aged 58.45±18.13 years, and 186 females, aged 52.23±16.23 years. All of them were unilateral, and there were 402 hips on the left and 304 hips on the right. The transformer_unet convolutional neural network was constructed and trained using Tensorflow 1.15 to achieve intelligent segmentation of the revision THA CT images. Based on the developed three-dimensional planning system of total hip arthroplasty, an intelligent planning system for revision hip arthroplasty was preliminarily constructed. Dice overlap coefficient (DOC), average surface distance (ASD) and Hausdorff distance (HD) parameters were used to evaluate the segmentation accuracy of transformer_unet, full convolution network (FCN), 2D U-shaped Net and Deeplab v3 +, and segmentation time was used to evaluate the segmentation efficiency of these networks.Results:Compared with the FCN, 2D U-Net, and Deeplab v3+ learning curves, the transformer_unet network could achieve better training effect with less training amount.The DOC of transformer_unet was 95%±4%, the HD was 3.35±1.03 mm, and the ASD was 1.38±0.02 mm; FCN was 94%±4%, 4.83±1.90 mm, 1.42±0.03 mm; 2D U-Net was 93%±5%, 5.27±2.20 mm, and 1.46±0.02 mm, respectively. Deeplab v3+ was 92%±4%, 6.12±1.84 mm, 1.52±0.03 mm, respectively. The transformer_unet coefficients were better than those of the other three convolutional neural networks, and the differences were statistically significant (all P<0.05). The segmentation time of transformer_unet was 0.031±0.001 s, FCN was 0.038±0.002 s, 2D U-Net was 0.042±0.001 s, Deeplab v3+ was 0.048±0.002 s. The segmentation time of transformer_unet was less than that of the other three convolutional neural networks, and the difference was statistically significant ( P<0.05). Based on the results of previous studies, an artificial intelligence assisted preoperative planning system for THA revision surgery was initially constructed. Conclusion:Compared with FCN, 2D U-Net and Deeplab v3+, the transformer_unet convolutional neural network can complete the segmentation of the revision THA CT image more accurately and efficiently, which is expected to provide technical support for preoperative planning and surgical robots.

Chronic alcohol consumption causes liver steatosis, cell death, and inflammation. Melatonin (MLT) is reported to alleviate alcoholic liver disease (ALD)-induced injury. However, its direct regulating targets in hepatocytes are not fully understood. In the current study, a cell-based screening model and a chronic ethanol-fed mice ALD model were used to test the protective mechanisms of MLT. MLT ameliorated ethanol-induced hepatocyte injury in both cell and animal models (optimal doses of 10 μmol/L and 5 mg/kg, respectively), including lowered liver steatosis, cell death, and inflammation. RNA-seq analysis and loss-of-function studies in AML-12 cells revealed that telomerase reverse transcriptase (TERT) was a key downstream effector of MLT. Biophysical assay found that epidermal growth factor receptor (EGFR) on the hepatocyte surface was a direct binding and regulating target of MLT. Liver specific knock-down of Tert or Egfr in the ALD mice model impaired MLT-mediated liver protection, partly through the regulation of nuclear brahma-related gene-1 (BRG1). Long-term administration (90 days) of MLT in healthy mice did not cause evident adverse effect. In conclusion, MLT is an efficacious and safe agent for ALD alleviation. Its direct regulating target in hepatocytes is EGFR and downstream BRG1-TERT axis. MLT might be used as a complimentary agent for alcoholics.