Genomic Analyses from Non-invasive Prenatal Testing Reveal Genetic Associations, Patterns of Viral Infections, and Chinese Population History.

We analyze whole-genome sequencing data from 141,431 Chinese women generated for non-invasive prenatal testing (NIPT). We use these data to characterize the population genetic structure and to investigate genetic associations with maternal and infectious traits. We show that the present day distribution of alleles is a function of both ancient migration and very recent population movements. We reveal novel phenotype-genotype associations, including several replicated associations with height and BMI, an association between maternal age and EMB, and between twin pregnancy and NRG1. Finally, we identify a unique pattern of circulating viral DNA in plasma with high prevalence of hepatitis B and other clinically relevant maternal infections. A GWAS for viral infections identifies an exceptionally strong association between integrated herpesvirus 6 and MOV10L1, which affects piwi-interacting RNA (piRNA) processing and PIWI protein function. These findings demonstrate the great value and potential of accumulating NIPT data for worldwide medical and genetic analyses.

A high-resolution haplotype-resolved Reference panel constructed from the China Kadoorie Biobank Study.

Precision medicine depends on high-accuracy individual-level genotype data. However, the whole-genome sequencing (WGS) is still not suitable for gigantic studies due to budget constraints. It is particularly important to construct highly accurate haplotype reference panel for genotype imputation. In this study, we used 10 000 samples with medium-depth WGS to construct a reference panel that we named the CKB reference panel. By imputing microarray datasets, it showed that the CKB panel outperformed compared panels in terms of both the number of well-imputed variants and imputation accuracy. In addition, we have completed the imputation of 100 706 microarrays with the CKB panel, and the after-imputed data is the hitherto largest whole genome data of the Chinese population. Furthermore, in the GWAS analysis of real phenotype height, the number of tested SNPs tripled and the number of significant SNPs doubled after imputation. Finally, we developed an online server for offering free genotype imputation service based on the CKB reference panel (https://db.cngb.org/imputation/). We believe that the CKB panel is of great value for imputing microarray or low-coverage genotype data of Chinese population, and potentially mixed populations. The imputation-completed 100 706 microarray data are enormous and precious resources of population genetic studies for complex traits and diseases.

Deep sequencing of 1320 genes reveals the landscape of protein-truncating variants and their contribution to psoriasis in 19,973 Chinese individuals.

Protein-truncating variants (PTVs) have important impacts on phenotype diversity and disease. However, their population genetics characteristics in more globally diverse populations are not well defined. Here, we describe patterns of PTVs in 1320 genes sequenced in 10,539 healthy controls and 9434 patients with psoriasis, all of Han Chinese ancestry. We identify 8720 PTVs, of which 77% are novel, and estimate 88% of all PTVs are deleterious and subject to purifying selection. Furthermore, we show that individuals with psoriasis have a significantly higher burden of PTVs compared to controls (P = 0.02). Finally, we identified 18 PTVs in 14 genes with unusually high levels of population differentiation, consistent with the action of local adaptation. Our study provides insights into patterns and consequences of PTVs.

RNA-seq screening and gene function analysis uncover GPR183 as a key mediator for methionine to stimulate milk synthesis in mouse mammary epithelial cells.

Methionine (Met) can activate mTOR to promote milk synthesis in mammary epithelial cells (MECs). However, it is largely unknown which G protein-coupled receptor (GPCR) can mediate the stimulation of Met on mTOR activation. In this study, we employed transcriptome sequencing to analyze which GPCRs were associated with the role of Met, and further used gene function study approaches to explore the role of GPR183 in Met stimulation on mTOR activation in HC11 cells. We identified 9 GPCRs including GPR183 which expression levels were upregulated by Met treatment through RNA-seq and subsequent RT-qPCR analysis. Using GPR183 knockdown and overexpression technology, we demonstrate that GPR183 is a positive regulator of milk protein and fat synthesis and proliferation of HC11 cells. Met affected GPR183 expression in a dose-dependent manner, and GPR183 mediated the stimulation of Met (0.6 mM) on milk protein and fat synthesis, cell proliferation, and mTOR phosphorylation and mRNA expression. The inhibition of PI3K blocked the phosphorylation of mTOR and AKT stimulated by GPR183 activation. In summary, through RNA-seq and gene function study, we uncover that GPR183 is a key mediator for Met to activate the PI3K-mTOR signaling and milk synthesis in mouse MECs.

Research on the Interaction Mechanism and Structural Changes in Human Serum Albumin with Hispidin Using Spectroscopy and Molecular Docking.

The interaction between human serum albumin (HSA) and hispidin, a polyketide abundantly present in both edible and therapeutic mushrooms, was explored through multispectral methods, hydrophobic probe assays, location competition trials, and molecular docking simulations. The results of fluorescence quenching analysis showed that hispidin quenched the fluorescence of HSA by binding to it via a static mechanism. The binding of hispidin and HSA was validated further by synchronous fluorescence, three-dimensional fluorescence, and UV/vis spectroscopy analysis. The apparent binding constant (Ka) at different temperatures, the binding site number (n), the quenching constants (Ksv), the dimolecular quenching rate constants (Kq), and the thermodynamic parameters (∆G, ∆H, and ∆S) were calculated. Among these parameters, ∆H and ∆S were determined to be 98.75 kJ/mol and 426.29 J/(mol·K), respectively, both exhibiting positive values. This observation suggested a predominant contribution of hydrophobic forces in the interaction between hispidin and HSA. By employing detergents (SDS and urea) and hydrophobic probes (ANS), it became feasible to quantify alterations in Ka and surface hydrophobicity, respectively. These measurements confirmed the pivotal role of hydrophobic forces in steering the interaction between hispidin and HSA. Site competition experiments showed that there was an interaction between hispidin and HSA molecules at site I, which situates the IIA domains of HSA, which was further confirmed by the molecular docking simulation.

Cul5 mediates taurine-stimulated mTOR mRNA expression and proliferation of mouse mammary epithelial cells.

Cullin5 (Cul5) protein can regulate multiple signaling pathways; however, it is still largely unknown the role and molecule mechanism of Cul5 in regulation of the mTOR signaling. In this study, we determined the effect of Cul5 on the proliferation of HC11 cells, a mouse mammary epithelial cell line, and explored the corresponding molecular mechanism. We found that Cul5 was highly expressed in mammary gland tissues in the lactation stage compared with that in puberty and involution. Using gene knockdown and activation methods, we showed that Cul5 promoted proliferation of HC11 cells, mRNA expression and protein phosphorylation of mTOR. Taurine (Tau) affected Cul5 mRNA and protein levels in a dose-dependent manner. Cul5 localized to the nucleus and knockdown of Cul5 almost totally blocked the stimulation of Tau on mTOR mRNA expression and protein phosphorylation. PI3K inhibition almost totally abolished the stimulation of Tau on Cul5 expression. In summary, our data uncover that Cul5 is a positive regulator of proliferation of HC11 cells, and mediates the stimulation of Tau on mRNA expression and subsequent protein phosphorylation of mTOR. Our data lay a new theoretical foundation for regulating mammary cell proliferation and promoting milk yield.

The changes in metabolomics profile induced by intermittent theta burst stimulation in major depressive disorder: an exploratory study.

BACKGROUND: Recently, there has been an ongoing interest in the mechanism of intermittent theta burst stimulation (iTBS) in major depressive disorder. Studying the metabolite changes induced by iTBS may help to understand the mechanism. METHODS: Eleven participants with major depressive disorder received 10 days iTBS treatment. Magnetic resonance imaging (MRI) was used to target the region of the left dorsolateral prefrontal cortex (DLPFC) in each participant. We analyzed the effects of iTBS on metabolites using high-throughput profiling and assessed its impact on depressive symptoms. These analyses were considered exploratory, and no correction for multiple comparisons was applied. RESULTS: Among the 318 measured metabolites, a significant increase in cystine, asymmetric dimethylarginine (ADMA), 1-methylhistidine, indoleacetic acid (IAA), diethanolamine (DEA), dopa, riboflavin-5'-monophosphate (FMN), and a significant decrease in alphalinolenic acid (ALA), gamma-linolenic acid (GLA), serotonin, linoleic acid (LA) (p < 0.05) were detected in the patients after iTBS treatment. In Pearson correlation analysis, the plasma levels of LA, FMN and ADMA at baseline were significantly related to the reduction rate of the 17-item Hamilton Depression Rating Scale and the Patient Health Questionnaire-9 scores (p < 0.05). CONCLUSIONS: Our study highlights that LA, FMN, ADMA and their relationship with oxidative stress, may be key factors in the antidepressant efficacy of iTBS.

Cancer patients' return-to-work adaptation experience and coping resources: a grounded theory study.

OBJECTIVE: To explore the return-to-work adaptation experience and coping resources used by cancer patients. METHODS: With the help of the Nantong Cancer Friends Association, from June 2019 to January 2020, this study recruited 30 cancer patients who had returned to work using purpose sampling, snowball sampling and theoretical sampling. The researchers analyzed the data using initial-, focusing-, and theoretical coding. RESULTS: The adaptation of cancer patients to return-to-work is a rebuilding process by taking advantage of the available personal and external coping resources. The adaptation experience includes: focusing on rehabilitation, rebuilding self-efficacy, and adjusting plans. CONCLUSION: Medical staff should help patients mobilize coping resources to adapt to return to work.

Biweekly Raltitrexed Combined With Irinotecan as Second-Line Therapy for Patients With Metastatic Colorectal Cancer: A Phase II Trial.

OBJECTIVE: Irinotecan-based doublet chemotherapy strategy was standard second-line backbone for patients with oxaliplatin-refractory metastatic colorectal cancer. The aim of this study was to evaluate tolerability and efficacy of raltitrexed combined with irinotecan biweekly administered as the second-line therapy for mCRC patients. METHODS: The study was a prospective, single-center, non-randomized, open-label phase II clinical trial. Patients with mCRC after failure with oxaliplatin and fluoropyrimidine or its derivatives were enrolled. Irinotecan (180 mg/m2) and raltitrexed (2.5 mg/m2) were given intravenously on day 1. Cycles were repeated every 2 weeks. The primary endpoint was progression-free survival (PFS), and the secondary endpoints included overall response rate (ORR), disease control rate (DCR), overall survival (OS), and adverse events (AEs). RESULTS: Between December 2012 and October 2016, 33 and 35 patients enrolled were assessed for response and safety, respectively. The ORR was 8.6%, and the DCR was 71.4%. The median PFS was 4.5 months (95% CI 3.8-5.2). The median OS was 12.0 months (95% CI 8.5-15.5). Four patients received conversion therapy to no evidence of disease (NED), and 2 patients were still alive with beyond 24 months survival. The most common grade 3/4 AEs were anorexia (14.3%), vomiting (14.3%), nausea (11.4%), fatigue (8.6%), and leukopenia (8.6%). No one died from treatment-related events. The incidence and severity of toxicity were irrelevant to UGT1A1 status. CONCLUSIONS: The combination of irinotecan with raltitrexed is an efficient, convenient, and acceptable toxic regimen for second-line treatment for mCRC patients.

Clinical characteristics and prognostic factors of anal adenocarcinoma: a nomogram development based on SEER database and validation in the WCH database.

PURPOSE: The purpose of this study was to comprehensively understand anal canal adenocarcinomas (AA) and develop a nomogram for prognostic prediction of AA. METHODS: Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database (the year 2004-2015). An external validation set was collected from West China Hospital (WCH) databases. Propensity-score matching (PSM) was performed to balance the demographic characteristic. A novel nomogram was developed to estimate individual survival probability and its performance was validated using the concordance index (C-index), calibration curves, and decision curve analyses (DCA). RESULTS: A total of 7901 patients were enrolled including 749 AA patients and 7152 squamous cell carcinomas of the anal canal (ASCC) patients. Before PSM, patients with AA had shorter cancer-specific survival (CSS) and OS than those with ASCC. However, after PSM, patients with AA were related to a favorable OS (p < 0.001), but a comparable CSS (p = 0.140) to those with ASCC. Age, sex, grade, surgery, and M stage were the independent prognostic factors of CSS for AA and were included in the establishment of a novel nomogram. Patients from the WCH database (n = 112) were used as an external validation cohort. The C-index of the nomogram was 0.78 and 0.735 in internal and external validation, respectively, which suggested the good discrimination power of the model. Furthermore, calibration curves and DCA suggested good agreement between the predicted and actual survival. Lastly, a risk classification system based on a nomogram revealed the reliability of the novel model. CONCLUSION: AA and ASCC had distinct clinical features. AA was associated with a better prognosis than ASCC after PSM. The model of nomogram showed an accurate predictive ability for prognostic factors of AA patients.

Tumor calcification is associated with better survival in metastatic colorectal cancer patients treated with bevacizumab plus chemotherapy.

Aims: The purpose was to investigate the correlation between calcification and outcome in metastatic colorectal cancer (mCRC) patients who received bevacizumab plus chemotherapy as the first-line treatment. Methods: A single retrospective cohort study was conducted with all diagnosed mCRC cases who received bevacizumab and chemotherapy as the first-line therapy. Results: Among all enrolled patients (n = 159), 31 had tumor calcification. The median overall survival and progression-free survival were significantly better in patients with tumor calcification than in those without calcification. A higher objective overall response rate was also observed in the tumor calcification group. On multivariate analysis, tumor calcification was independently associated with overall survival and progression-free survival. Conclusions: Tumor calcification was independently associated with improved survival in mCRC patients treated with bevacizumab plus chemotherapy.

Colorectal cancer is one of the most commonly diagnosed malignancies globally and nearly half of these patients develop metastatic colorectal cancer (mCRC). The current standard treatment for mCRC includes 5-fluorouracil-based chemotherapy with or without bevacizumab. Nevertheless, a predictive biomarker of efficacy for bevacizumab has not yet been firmly established. This retrospective study aimed to investigate the correlation between tumor calcification and prognosis in mCRC patients who received bevacizumab plus chemotherapy as the first-line treatment. The authors found that tumor calcification was independently associated with improved survival in mCRC patients treated with bevacizumab plus chemotherapy.

Synthetic organic antibiotics residues as emerging contaminants waste-to-resources processing for a circular economy in China: Challenges and perspective.

Synthetic antibiotics have been known for years to combat bacterial antibiotics. But their overuse and resistance have become a concern recently. The antibiotics reach the environment, including soil from the manufacturing process and undigested excretion by cattle and humans. It leads to overburden and contamination of the environment. These organic antibiotics remain in the environment for a very long period. During this period, antibiotics come in contact with various flora and fauna. The ill manufacturing practices and inadequate wastewater treatment cause a severe problem to the water bodies. After pretreatment from pharmaceutical industries, the effluents are released to the water bodies such as rivers. Even after pretreatment, effluents contain a significant number of antibiotic residues, which affect the living organisms living in the water bodies. Ultimately, river contaminated water reaches the ocean, spreading the contamination to a vast environment. This review paper discusses the impact of synthetic organic contamination on the environment and its hazardous effect on health. In addition, it analyzes and suggests the biotechnological strategies to tackle organic antibiotic residue proliferation. Moreover, the degradation of organic antibiotic residues by biocatalyst and biochar is analyzed. The circular economy approach for waste-to-resource technology for organic antibiotic residue in China is analyzed for a sustainable solution. Overall, the significant challenges related to synthetic antibiotic residues and future aspects are analyzed in this review paper.

Phase I clinical trial of HC-1119: A deuterated form of enzalutamide.

The purpose of our study was to investigate the safety, pharmacokinetics (PK), and initial antitumor efficacy of HC-1119 in patients with metastatic castration-resistant prostate cancer (mCRPC). Eligible mCRPC patients were included in our study (NCT03774056) with two parts. Part A was a dose escalation study in which patients received a dose escalation of HC-1119 (40, 80, 160 and 200 mg/day). Part B was a dose expansion study in which patients received HC-1119 at the dose of 80 and 160 mg. Safety assessment and pharmacokinetic samplings were performed for all patients at the given time points; preliminary tumor response was also assessed. Twenty-four patients were enrolled in part A and 19 patients in part B, respectively. HC-1119 was safe, well tolerated and no dose-limiting toxicity was observed. Fatigue was the most common treatment-related adverse event and no seizures were observed. At the dose levels of 40, 80 and 160 mg, the AUC and Cmax of HC-1119 in plasma increased almost dose-proportionally at the steady state in mCRPC patients. Maximum prostate-specific antigen (PSA) response rates (≥50% reduction from the baseline) in dose escalation and dose expansion cohorts were 77% and 75%, respectively; the overall disease control rate (22 patients available for imaging analysis) was 72.7%, with PR in 4 patients, SD in 12 patients and PD in 6 patients; the 2-year overall survival rate in patients from Part B was 56.8%. HC-1119 was safe, well tolerated and efficacious and HC-1119 at 80 mg/day is recommended for further studies.

Safety, Efficacy, and Pharmacokinetics of Metatinib Tromethamine Tablet in Patients with Advanced Refractory Solid Tumors: A Phase I Clinical Trial.

LESSONS LEARNED: MET overexpression is uncommon, and positive MET immunohistochemistry (1+/2+) was an independent positive prognostic factor for response rate and progression-free survival. Whether MET overexpression can be considered a potential predictive biomarker and be used as an inclusion criterion is worth investigating in a future study. BACKGROUND: Metatinib tromethamine tablet (metatinib) is a small molecule receptor kinase inhibitor targeting both c-MET and vascular endothelial growth factor receptor 2. This phase I trial aimed to determine the dose-limiting toxicity (DLT) and maximum tolerated dose (MTD), pharmacokinetics, safety, and efficacy of metatinib in patients with advanced solid tumors. METHODS: Eligible patients received a single dose of metatinib in a 3 + 3 dose-escalation design with dose levels of 25-800 mg/day, after a single dose on day 1, then 2 days off, and then a multidose schedule of once-daily doses for 25 consecutive days (days 4-28). Primary endpoints were MTD and safety; secondary and exploratory endpoints included pharmacokinetics (PK), efficacy, and biomarkers. RESULTS: Eighteen patients (including nine patients with hepatocellular carcinoma [HCC]) received at least one dose of study drug (one patient quit the study without continuous multiple-dose administration after receiving a single dose of metatinib). Hand-foot skin reaction, diarrhea, and liver dysfunction were the DLTs, and 200 mg/day was the MTD. The most common treatment-related adverse events (TRAEs) were skin toxicity (50%), diarrhea (33.3%), and liver dysfunction (27.8%). Three patients (only one of six in the 200 mg/day cohort; the other two in the 300 mg/day cohort) experienced severe TRAEs: one patient with severe liver dysfunction and two patients with severe liver dysfunction and skin toxicity, respectively. Pharmacokinetics assessment indicated that metatinib was rapidly absorbed and metabolized to the formation of reactive metabolite, SCR-1510, after single-dose administration. The mean time taken to achieve maximum concentration and terminal elimination half-life of SCR-1510 was approximately 2.0-3.0 hours and ranged from 8 to 14 hours. Two patients had partial responses. The objective response rate and disease control rate (DCR) were 11.1% and 61.1%, respectively. The median progression-free survival (PFS) was 2.75 months. CONCLUSION: Metatinib administration of 200 mg/day was well tolerated, safe, and effective. The MTD was 200 mg/day, which should be recommended in further investigations.

Bevacizumab Combined with S-1 and Raltitrexed for Patients with Metastatic Colorectal Cancer Refractory to Standard Therapies: A Phase II Study.

LESSONS LEARNED: Bevacizumab combined with S-1 and raltitrexed demonstrated positive antitumor efficacy and acceptable toxicity. This combination might represent a treatment option for refractory metastatic colorectal cancer. BACKGROUND: In patients with metastatic colorectal cancer (mCRC) refractory to standard therapies, S-1 plus raltitrexed showed a good objective response rate (ORR) and significant survival benefit in our previous study. In the present study, we assessed the activity and safety of bevacizumab combined with S-1 and raltitrexed. METHODS: This investigator-initiated, open-label, single-arm, phase II trial was performed at West China Hospital in China. Patients with mCRC who had disease progression after fluoropyrimidine, irinotecan, and oxaliplatin and had at least one measurable lesion were eligible for this trial. Anti-epidermal growth factor receptor (EGFR) (for tumors with wild-type RAS) and anti-vascular endothelial growth factor (VEGF) therapy in the first or second line was allowed, but patients who had been treated with bevacizumab across two consecutive chemotherapy regimens were excluded. Patients received bevacizumab (7.5 mg/kg on day 1), oral S-1 (80-120 mg per day for 14 days), and raltitrexed (3 mg/m2 on day 1) every 3 weeks. The primary endpoint was ORR. Secondary endpoints included progression-free survival (PFS), overall survival (OS), and toxicity. RESULTS: From September 2015 to November 2019, 44 patients were enrolled. Tumor response evaluation was available in 44 patients at the time of the analysis. There were no complete responses; the ORR was 15.9%, and the disease control rate was 54.5%. Median PFS and OS were 110 days (95% confidence interval [CI], 65.0-155.0) and 367 days (95% CI, 310.4-423.6), respectively. The combination was well tolerated. CONCLUSION: Bevacizumab combined with S-1 and raltitrexed showed promising antitumor activity and safety in refractory mCRC.

Tumor calcification as a prognostic factor in cetuximab plus chemotherapy-treated patients with metastatic colorectal cancer.

This study aimed to explore the correlation between survival and tumor calcification in patients with metastatic colorectal cancer who received cetuximab combined with chemotherapy. The study was a single-center retrospective analysis that enrolled 111 patients who had received therapy between April 2011 and October 2016. Tumor calcification and treatment efficacy were evaluated independently by radiologists on the basis of computed tomography scans. Clinical characteristics and follow-up data were collected from electronic medical records. Correlations between tumor calcification and clinical characteristics, tumor response rate, and patient survival were analyzed. Among the 111 enrolled patients, 27 had tumor calcification [27/111 (24.3%)]. The median progression-free survival was significantly longer for patients with tumor calcification than for those without calcification (9.3 vs. 6.2 months, P=0.022). Patients with tumor calcification also had a higher objective response rate (55.6 vs. 31%, P=0.021) and better overall survival (21.9 vs. 16.5 months, P=0.084). The correlation between calcification features and prognosis showed that patients with an increasing number of calcifications after treatment had a significantly longer median overall survival (22.9 vs. 9.1 months, P=0.033). Simultaneously, new liver metastases and multiple calcifications also showed a trend toward better overall survival. There were also no significant correlations between clinical characteristics (sex, age, gene mutation, primary tumor location, pathological type, blood test result) and survival (Supplementary Table 1, Supplemental digital content 1, http://links.lww.com/ACD/A280). Tumor calcification is associated with a better treatment outcome and is a potential prognostic marker.

[Prediction of the therapeutic response after target-combined chemotherapy treatment for patients with liver metastasis from colorectal cancer using computed tomography texture analysis].

This study aims to investigate the value of pre-treatment computed tomography (CT) texture analysis in predicting therapeutic response of liver metastasis from colorectal cancer after combined targeting chemotherapy. A total of 82 patients with colorectal cancer liver metastases who underwent chemotherapy combined with targeted therapy (cetuximab) between March 2011 and October 2017 comprised this retrospective study population. According to the RECIST1.1, the best curative effect evaluation of patients was recorded. Complete response (CR) and partial response (PR) were assigned to the response group, and the stable disease (SD) and progressive disease (PD) were assigned to the non-response group. The CT texture analysis was based on the Omini-Kinetics software, and the three-dimensional (3D) texture analysis was performed on the marked lesion on portal phase. The differences of texture parameters between the response group and the non-response group were compared. The receiver operating characteristic (ROC) curves were depicted on the parameters which with statistically difference, to characterize value in predicting the response to target-combined chemotherapy. The differences of Entropy, Energy, Variance, std. Deviation, Quantile95 and sumEntropy between the two groups in pre-treatment lesions were significant ( P < 0.05). And lesions with higher Entropy, lower Energy, higher Variance, higher std Deviation and higher sumEntropy seemed to indicate a better therapeutic response. When sumEntropy > 0.867, good diagnostic efficiency could be obtained, with sensitivity of 60.5% and specificity of 79.5%, respectively. In conclusion, texture parameters derived from baseline CT images of colorectal cancer liver metastasis have the potential value acting as imaging biomarkers in predicting tumor response to combined target chemotherapy.

Multivariate frequency analysis of urban rainfall characteristics using three-dimensional copulas.

Urban runoff is a major cause of urban flooding and is difficult to monitor in the long term. In contrast, long term continuous rainfall data are generally available for any given region. As a result, it has become customary to use design rainfall depth as a proxy for runoff in urban hydrological analyses, with an assumption of the same frequency for runoff and rainfall. However, this approach has lack of overall coordination and cannot fully reflect the variability of rainfall characteristics. To address this issue, this study presents a three-dimensional copula-based multivariate frequency analysis of rainfall characteristics based on a long term (1961-2012) rainfall data from Guangzhou, China. Firstly, continuous rainfall data were divided into individual rainfall events using the rainfall intensity method. Then the characteristic variables of rainfall (design rainfall depth, DRD; total rainfall depth, TRD; peak rainfall depth, PRD) were sampled using the annual maximum method. Finally, a copula method was used to develop the multivariate joint probability distribution and the conditional probability distribution of rainfall characteristics. The results showed that the copula-based method is easy to implement and can better reflect urban rainstorm characteristics. It can serve a scientific reference for urban flood control and drainage planning.

The Efficacy of Ten Different Adjunctive Measures in Patients with Nonsurgically Treated Peri-Implant Disease: A Network Meta-Analysis of Randomized Controlled Trials.

Objective: This study aimed to evaluate the impact of 10 adjunctive measures on non-surgical therapy outcomes for peri-implant disease. Methods: We formulated the study question and keywords following the Population, Intervention, Comparator, Outcome framework. Randomized controlled trials were identified through searches in PubMed, Embase, the Cochrane Library, and the Web of Science. Two researchers assessed the quality of included literature according to the Cochrane Risk of Bias Assessment Tool. Data analysis and ranking were performed using Stata 15.0 software. Results: This study, involving 51 pieces of literature and 2660 samples, conducted a network meta-analysis (NMA), which revealed that photodynamic therapy (PDT) significantly reduced probing pocket depth values in patients with peri-implant mucositis (SUCRA = 96.3%) and peri-implantitis (SUCRA = 96.7%). In addition, it showed an improvement in bleeding on probing (BOP) values for peri-implantitis (SUCRA = 91.6%). Furthermore, diode lasers improved BOP values for peri-implant mucositis (SUCRA = 76.5%). Conclusions: According to the NMA results and the surface under the cumulative ranking curve (SUCRA), PDT and diode laser outperform other adjuncts in peri-implant disease.

Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis.

Peritoneal carcinomatosis (PC) is a type of secondary cancer which is not sensitive to conventional intravenous chemotherapy. Treatment strategies for PC are usually palliative rather than curative. Recently, artificial intelligence (AI) has been widely used in the medical field, making the early diagnosis, individualized treatment, and accurate prognostic evaluation of various cancers, including mediastinal malignancies, colorectal cancer, lung cancer more feasible. As a branch of computer science, AI specializes in image recognition, speech recognition, automatic large-scale data extraction and output. AI technologies have also made breakthrough progress in the field of peritoneal carcinomatosis (PC) based on its powerful learning capacity and efficient computational power. AI has been successfully applied in various approaches in PC diagnosis, including imaging, blood tests, proteomics, and pathological diagnosis. Due to the automatic extraction function of the convolutional neural network and the learning model based on machine learning algorithms, AI-assisted diagnosis types are associated with a higher accuracy rate compared to conventional diagnosis methods. In addition, AI is also used in the treatment of peritoneal cancer, including surgical resection, intraperitoneal chemotherapy, systemic chemotherapy, which significantly improves the survival of patients with PC. In particular, the recurrence prediction and emotion evaluation of PC patients are also combined with AI technology, further improving the quality of life of patients. Here we have comprehensively reviewed and summarized the latest developments in the application of AI in PC, helping oncologists to comprehensively diagnose PC and provide more precise treatment strategies for patients with PC.