ABSTRACT
Stapled hemorrhoidopexy has been used for years to treat hemorrhoids. Despite numerous systematic reviews and meta-analyses on the topic, inconsistent conclusions have left people uncertain about its effectiveness and raised doubts about the quality of these reviews.In order to provide reliable evidence for clinical practice, it is crucial to conduct an overview to assess the quality of MAs/SRs regarding the efficacy and complications of SH.A comprehensive search was performed across seven databases to identify MAs/SRs on the efficacy and complications of SH from inception to October 2023. The selected MAs/SRs were then assessed using three well-established tools: AMSTAR-2, PRISMA 2020and GRADE. These assessments provide a robust evaluation of the quality and reliability of the included MAs/SRs.We removed overlapping randomized controlled trials (RCTs) and conducted a new meta-analysis of the outcomes. The overview included 23 meta-analyses.In AMSTAR-2, three reviews were deemed moderate quality, nine reviews were classified as low quality, and eleven reviews were evaluated as critically low quality.In PRISMA 2020,certain deficiencies were exhibited, such as abstracts (0/23:0 %),final retrieval date (0/23:0 %), sensitivity analysis (6/23:26.09 %),publication bias assessment (11/23:47.83 %), the quality of evidence (2/23:8.70 %) and so on.In GRADE,twenty-six items were rated as moderate quality (27.96 %),forty-one items were rated as low quality (44.09 %) and twenty-six items were rated as critically low quality (27.96 %).SH has been found to be an effective intervention for reducing postoperative pain, shortening procedure time, and promoting wound healing. The re-analysis indicated that SH can reduce postoperative pain in hemorrhoid patients (odds ratio = 0.28, 95 % confidence interval [0.15,0.55], p = 0.0002; I2 = 74 %, p < 0.00001). But SH is associated with a higher risk of postoperative bleeding and recurrence of prolapse.Given that the reviews included in this overview were rated as low quality, caution should be exercised when interpreting the findings.
ABSTRACT
Machine learning (ML) is increasingly becoming a common tool in computational chemistry. At the same time, the rapid development of ML methods requires a flexible software framework for designing custom workflows. MLatom 3 is a program package designed to leverage the power of ML to enhance typical computational chemistry simulations and to create complex workflows. This open-source package provides plenty of choice to the users who can run simulations with the command-line options, input files, or with scripts using MLatom as a Python package, both on their computers and on the online XACS cloud computing service at XACScloud.com. Computational chemists can calculate energies and thermochemical properties, optimize geometries, run molecular and quantum dynamics, and simulate (ro)vibrational, one-photon UV/vis absorption, and two-photon absorption spectra with ML, quantum mechanical, and combined models. The users can choose from an extensive library of methods containing pretrained ML models and quantum mechanical approximations such as AIQM1 approaching coupled-cluster accuracy. The developers can build their own models using various ML algorithms. The great flexibility of MLatom is largely due to the extensive use of the interfaces to many state-of-the-art software packages and libraries.
ABSTRACT
Molecules with strong two-photon absorption (TPA) are important in many advanced applications such as upconverted laser and photodynamic therapy, but their design is hampered by the high cost of experimental screening and accurate quantum chemical (QC) calculations. Here a systematic study is performed by collecting an experimental TPA database with ≈900 molecules, analyzing with interpretable machine learning (ML) the key molecular features explaining TPA magnitudes, and building a fast ML model for predictions. The ML model has prediction errors of similar magnitude compared to experimental and affordable QC methods errors and has the potential for high-throughput screening as additionally validated with the new experimental measurements. ML feature analysis is generally consistent with common beliefs which is quantified and rectified. The most important feature is conjugation length followed by features reflecting the effects of donor and acceptor substitution and coplanarity.
ABSTRACT
INTRODUCTION: Yu Nu compound (YNJ) is a traditional Chinese medicine widely utilized to treat type 2 diabetes possibly through mediating autophagy. Abnormal podocyte autophagy and apoptosis could result in podocyte loss in diabetics nephropathy (DN). The mechanism of Yu Nu compound in DN is still unclear. Therefore, the study aims to investigate the effects of Yu Nu compound and analyze the potential mechanism. METHODS: Goto-Kakizaki (GK) rats were administered using YNJ with different doses once a day by gavage for 4 weeks. The renal cortex injury was observed by HE staining and electron microscope. Cell apoptosis of renal cortex was analyzed by TUNNEL staining. The mTOR, autophagy-related proteins and apoptosis-related proteins were detected by Western blot or real-time PCR in vivo and vitro. MPC5 cells were exposed to high glucose (HG, 30mM) for 12h to simulate podocyte injury in DN. MPC5 cells were treated by serum containing YNJ with different dosages. Cell activities and apoptosis were, respectively, detected through Cell Counting Kit-8 (CCK8) assay and flow cytometry. RESULTS: The results showed that the medium dose of YNJ had better effects on decreasing blood glucose and improving renal injury in GK rats, followed by decreasing mTOR levels. The autophagy levels were enhanced in renal cortex, accompanied with the increase of cell apoptosis in vivo. Besides, the proteins regulating autophagy and apoptosis were significantly modulated by YNJ in GK rats. Then, we found that the decreasing endogenous mTOR could reverse the effects of YNJ on podocyte apoptosis and autophagy in vivo. DISCUSSION: The study suggested that YNJ recovered normal autophagy and suppressed apoptosis through regulating mTOR. The maintenance of normal basal autophagic activity possibly based on the effect of YNJ on multiple target was essential for maintaining podocyte function.