A Systematic Review of the Application of Computational Technology in Microtia.

Microtia is a congenital and morphological anomaly of one or both ears, which results from a confluence of genetic and external environmental factors. Up to now, extensive research has explored the potential utilization of computational methodologies in microtia and has obtained promising results. Thus, the authors reviewed the achievements and shortcomings of the research mentioned previously, from the aspects of artificial intelligence, computer-aided design and surgery, computed tomography, medical and biological data mining, and reality-related technology, including virtual reality and augmented reality. Hoping to offer novel concepts and inspire further studies within this field.

Disentangling signal and noise in neural responses through generative modeling.

Measurements of neural responses to identically repeated experimental events often exhibit large amounts of variability. This noise is distinct from signal , operationally defined as the average expected response across repeated trials for each given event. Accurately distinguishing signal from noise is important, as each is a target that is worthy of study (many believe noise reflects important aspects of brain function) and it is important not to confuse one for the other. Here, we introduce a principled modeling approach in which response measurements are explicitly modeled as the sum of samples from multivariate signal and noise distributions. In our proposed method-termed Generative Modeling of Signal and Noise (GSN)-the signal distribution is estimated by subtracting the estimated noise distribution from the estimated data distribution. We validate GSN using ground-truth simulations and demonstrate the application of GSN to empirical fMRI data. In doing so, we illustrate a simple consequence of GSN: by disentangling signal and noise components in neural responses, GSN denoises principal components analysis and improves estimates of dimensionality. We end by discussing other situations that may benefit from GSN's characterization of signal and noise, such as estimation of noise ceilings for computational models of neural activity. A code toolbox for GSN is provided with both MATLAB and Python implementations.

CPT-11 mitigates autoimmune diseases by suppressing effector T cells without affecting long-term anti-tumor immunity.

The incidence of autoimmune diseases has significantly increased over the past 20 years. Excessive host immunoreactions and disordered immunoregulation are at the core of the pathogenesis of autoimmune diseases. The traditional anti-tumor chemotherapy drug CPT-11 is associated with leukopenia. Considering that CPT-11 induces leukopenia, we believe that it is a promising drug for the control of autoimmune diseases. Here, we show that CPT-11 suppresses T cell proliferation and pro-inflammatory cytokine production in healthy C57BL/6 mice and in complete Freund's adjuvant-challenged mice. We found that CPT-11 effectively inhibited T cell proliferation and Th1 and Th17 cell differentiation by inhibiting glycolysis in T cells. We also assessed CPT-11 efficacy in treating autoimmune diseases in models of experimental autoimmune encephalomyelitis and psoriasis. Finally, we proved that treatment of autoimmune diseases with CPT-11 did not suppress long-term immune surveillance for cancer. Taken together, these results show that CPT-11 is a promising immunosuppressive drug for autoimmune disease treatment.

Single-Shot Readout of a Solid-State Electron Spin Qutrit.

Quantum systems usually feature a rich multilevel structure with promising resources for developing superior quantum technologies compared with their binary counterpart. Single-shot readout of these high-dimensional quantum systems is essential for exploiting their potential. Although there have been various high-spin systems, the single-shot readout of the overall state of high-spin systems remains a challenging issue. Here we demonstrate a reliable single-shot readout of spin qutrit state in a low-temperature solid-state system utilizing a binary readout scheme. We achieve a single-shot readout of an electron spin qutrit associated with a single nitrogen-vacancy center in diamond with an average fidelity of 87.80%. We use this spin qutrit system to verify quantum contextuality, a fundamental test of quantum mechanics. We observe a violation of the noncontextual hidden variable inequality with the developed single-shot readout in contrast to the conventional binary readout. These results pave the way for developing quantum information processing based on spin qutrits.

Differentially expressed protein-coding genes in ankylosing spondylitis: Emerging insights into pathogenesis and therapeutic approaches.

Ankylosing spondylitis (AS) is a chronic, progressive inflammatory rheumatic disease affecting the spine, axial skeleton, and sacroiliac joints. Pathogenesis of AS encompasses enthesitis, synovitis, and osteoproliferation, leading to the formation of syndesmophytes, ankylosis, and spinal rigidity. Bioinformatics, an interdisciplinary field combining computer science, mathematics, and biology, enables the analysis of complex biological data for investigating AS pathogenesis. This review summarizes differentially expressed protein-coding genes in peripheral blood or local tissues of AS patients compared with healthy controls and comprehensively reviews currently available therapeutic agents. The objective is to enhance the understanding of AS pathogenesis, inform diagnosis, identify novel therapeutic targets, and facilitate personalized medicine. This review contributes to a deeper understanding of AS pathogenesis and provides a foundation for developing innovative therapeutic approaches.

Relay Selection for Over-the-Air Computation Achieving Both Long Lifetime and High Reliability.

In a general wireless sensor network, a sink node collects data from each node successively and then post-processes the data to obtain useful information. However, conventional methods have a scalability problem: the data collection/processing time increases with the number of nodes, and frequent transmission collisions degrade spectrum efficiency. If only statistical values of the data are needed, using over-the-air computation (AirComp) can efficiently perform data collection and computation. However, AirComp also has its problems: when the channel gain of a node is too low, (i) the transmission power of that node will be high, decreasing the lifetime of that node and the entire network, and (ii) sometimes, the computation error still occurs even though the maximal transmission power is used. To jointly solve these two problems, in this paper we investigate the relay communication for AirComp and study a relay selection protocol. The basic method selects an ordinary node with a good channel condition as a relay node, considering both computation error and power consumption. This method is further enhanced to explicitly consider network lifetime in relay selection. Extensive simulation evaluations confirm that the proposed method helps to prolong the lifetime of the entire network and reduce computation errors as well.

Development and function of natural TCR+ CD8αα+ intraepithelial lymphocytes.

The complexity of intestinal homeostasis results from the ability of the intestinal epithelium to absorb nutrients, harbor multiple external and internal antigens, and accommodate diverse immune cells. Intestinal intraepithelial lymphocytes (IELs) are a unique cell population embedded within the intestinal epithelial layer, contributing to the formation of the mucosal epithelial barrier and serving as a first-line defense against microbial invasion. TCRαß+ CD4- CD8αα+ CD8αß- and TCRγδ+ CD4- CD8αα+ CD8αß- IELs are the two predominant subsets of natural IELs. These cells play an essential role in various intestinal diseases, such as infections and inflammatory diseases, and act as immune regulators in the gut. However, their developmental and functional patterns are extremely distinct, and the mechanisms underlying their development and migration to the intestine are not fully understood. One example is that Bcl-2 promotes the survival of thymic precursors of IELs. Mature TCRαß+ CD4- CD8αα+ CD8αß- IELs seem to be involved in immune regulation, while TCRγδ+ CD4- CD8αα+ CD8αß- IELs might be involved in immune surveillance by promoting homeostasis of host microbiota, protecting and restoring the integrity of mucosal epithelium, inhibiting microbiota invasion, and limiting excessive inflammation. In this review, we elucidated and organized effectively the functions and development of these cells to guide future studies in this field. We also discussed key scientific questions that need to be addressed in this area.

Mannose: A Sweet Option in the Treatment of Cancer and Inflammation.

As a natural sugar, mannose is a type of hexose that is abundant in many different types of fruits. Since mannose is rarely used for glycolysis in mammals, studies on the role of mannose have not attracted much attention. Glycosylation of specific proteins was thought to be the major function of mannose. Surprisingly, during the past few years, mannose was found to be effective in promoting immune tolerance and suppressing inflammatory diseases related to autoimmunity and allergy. Moreover importantly, mannose was also found to be efficient in suppressing tumors by suppressing glycolysis and enhancing chemotherapeutic agents. In this review, we summarize the recent studies of mannose on antitumor properties and anti-inflammatory characteristics. We emphasize that mannose could play a beneficial role in the treatment of a variety of diseases, including cancers and inflammatory diseases, and could be a novel therapeutic strategy that deserves continued evaluation.

Application of artificial intelligence in the diagnosis and prognostic prediction of ovarian cancer.

In recent years, the wide application of artificial intelligence (AI) has dramatically improved the work efficiency of clinicians and reduced their workload. This review provides a glance at the latest advances in AI-assisted diagnosis and prognostic prediction of ovarian cancer (OC). We performed an advanced search in PubMed and IEEE/IET Electronic Library, and included 39 articles in this review. A comprehensive and objective criterion was built to assess the reliability and quality of all studies from four aspects: the size of datasets for model development, research design, the division of training sets and test sets, and the type of quantitative performance indicators. This review analyzed the construction of AI models, including data pre-processing methods, feature selection techniques, AI classifiers, or algorithms. Additionally, we compared the performance of these models built on different datasets, which may support researchers for further iteration and development of AI. Finally, we discussed the challenges and future directions for AI application in medicine.

High fructose diet: A risk factor for immune system dysregulation.

Excessive intake of sweets is a predisposing factor for metabolic disorders, and fructose, as one of the major dietary sugars in the diet, has been shown to be a major cause of obesity, diabetes, and metabolic syndrome. These disorders are usually associated with immune dysfunction. Therefore, exploring the effects of a high fructose diet on the immune system may provide insight into the underlying mechanisms of these diseases. We synthesized the available evidence to suggest that excessive fructose intake disrupts the body's immune homeostasis by promoting immune cell metabolic rearrangements, alterations in gut microbial community structure, and intestinal barrier permeability. Indeed, not only does fructose itself affect immune system homeostasis, but its metabolites also have a profound influence. The metabolites from fructolysis are mainly produced in the small intestine and liver and subsequently enter the systemic circulation. Elevated levels of fructose metabolites, such as uric acid, FFAs, and lactate, are closely associated with oxidative stress and local tissue and organ inflammatory responses. In this review, we will focus on the link between fructose and inflammatory responses. In the meanwhile, we will also briefly summarize the studies of cancer development and immune escape mediated by fructose, as it might be beneficial for cancer immunotherapy.

PM2.5 exposure associated with microbiota gut-brain axis: Multi-omics mechanistic implications from the BAPE study.

Recent studies have shown that PM2.5 may activate the hypothalamus-pituitary-adrenal (HPA) axis by inducing hormonal changes, potentially explaining the increase in neurological and cardiovascular risks. In addition, an association between PM2.5 and gut microbiota and metabolites was established. The above evidence represents crucial parts of the gut-brain axis (GBA). In view of this evidence, we proposed a hypothesis that PM2.5 exposure may affect the HPA axis through the gastrointestinal tract microbiota pathway (GBA mechanism), leading to an increased risk of neurological and cardiovascular diseases. We conducted a real-world prospective repeated panel study in Jinan, China. At each visit, we measured real-time personal PM2.5 and collected fecal and blood samples. A linear mixed-effects model was used to analyze the association between PM2.5 and serum biomarkers, gut microbiota, and metabolites. We found that PM2.5 was associated with increased serum levels of hormones, especially the adrenocorticotropic hormone (ACTH) and cortisol, which are reliable hormones of the HPA axis. Gut microbiota and tryptophan metabolites and inflammation, which are important components of the GBA, were significantly associated with PM2.5. We also found links between PM2.5 and changes in the nervous and cardiovascular outcomes, e.g., increases of 19.77% (95% CI: -36.44, 125.69) in anxiety, 1.19% (95% CI: 0.65, 1.74) in fasting blood glucose (FBG), 2.09% (95% CI: 1.48, 2.70) in total cholesterol (TCHOL), and 0.93% (95% CI: 0.14, 1.72) in triglycerides (TG), were associated with 10 µg/m3 increase in PM2.5 at the lag 0-72 h, which represent the main effects of GBA. This study indicated the link between PM2.5 and the microbiota GBA for the first time, providing evidence of the potential mechanism for PM2.5 with neurological and cardiovascular system dysfunction.

PM2.5 and Serum Metabolome and Insulin Resistance, Potential Mediation by the Gut Microbiome: A Population-Based Panel Study of Older Adults in China.

BACKGROUND: Insulin resistance (IR) affects the development of type 2 diabetes mellitus (T2DM), which is also influenced by accumulated fine particle air pollution [particulate matter (PM) with aerodynamic diameter of <2.5µm (PM2.5)] exposure. Previous experimental and epidemiological studies have proposed several potential mechanisms by which PM2.5 contributes to IR/T2DM, including inflammation imbalance, oxidative stress, and endothelial dysfunction. Recent evidence suggests that the imbalance of the gut microbiota affects the metabolic process and may precede IR. However, the underlying mechanisms of PM2.5, gut microbiota, and metabolic diseases are unclear. OBJECTIVES: We investigated the associations between personal exposure to PM2.5 and fasting blood glucose and insulin levels, the IR index, and other related biomarkers. We also explored the potential underlying mechanisms (systemic inflammation and sphingolipid metabolism) between PM2.5 and insulin resistance and the mediating effects between PM2.5 and sphingolipid metabolism. METHODS: We recruited 76 healthy seniors to participate in a repeated-measures panel study and conducted clinical examinations every month from September 2018 to January 2019. Linear mixed-effects (LME) models were used to analyze the associations between PM2.5 and health data (e.g., functional factors, the IR index, inflammation and other IR-related biomarkers, metabolites, and gut microbiota). We also performed mediation analyses to evaluate the effects of mediators (gut microbiota) on the associations between exposures (PM2.5) and featured metabolism outcomes. RESULTS: Our prospective panel study illustrated that exposure to PM2.5 was associated with an increased risk of higher IR index and functional biomarkers, and our study provided mechanistic evidence suggesting that PM2.5 exposure may contribute to systemic inflammation and altered sphingolipid metabolism. DISCUSSION: Our findings demonstrated that PM2.5 was associated with the genera of the gut microbiota, which partially mediated the association between PM2.5 and sphingolipid metabolism. These findings may extend our current understanding of the pathways of PM2.5 and IR. https://doi.org/10.1289/EHP9688.

Enhancer of zeste homolog 2 promotes hepatocellular cancer progression and chemoresistance by enhancing protein kinase B activation through microRNA-381-mediated SET domain bifurcated 1.

Metastasis and chemoresistance are the leading causes of death in patients with hepatocellular carcinoma (HCC). microRNAs (miRNAs or miRs) may be useful as diagnostic, therapeutic and prognostic markers for HCC. In this study, we set out to investigate the possible role of miR-381 in HCC development and chemoresistance along with the related mechanism. Microarray-based gene expression profiling was carried out to analyze the expression of SET domain bifurcated 1 (SETDB1) and histone methyltransferase enhancer of zeste homolog 2 (EZH2) followed by validation in clinical HCC tissues and cells. The potential binding between miR-381 and SETDB1 was found and verified. Then, the role of SETDB1 in HCC in relation to miR-381 and protein kinase B (AKT) pathway was explored through gain- and loss-of-function approaches. After expression determination of EZH2, SETDB1, miR-381, and AKT pathway-related factors, their reactions were analyzed and their functional roles in HCC progression and chemoresistance were investigated in vitro and in vivo. SETDB1 was aberrantly upregulated in clinical HCC tissues and cells. This upregulation activated AKT pathway by promoting its tri-methylation on K64. SETDB1 promoted the proliferation, migration and chemoresistance through the AKT pathway in HCC cells. In a xenograft mouse model, SETDB1 promoted HCC cell tumorigenesis in vivo by activating the AKT pathway. Furthermore, EZH2 suppressed miR-381 by catalyzing the activity of H3K27me3 on its promoter region. In conclusion, EZH2 suppressed miR-381 expression by promoting H3K27me3 activity on its promoter region to facilitate SETDB1 expression, thereby activating the AKT pathway to promote hepatocarcinogenesis and chemoresistance.

Tumor-derived extracellular vesicles containing long noncoding RNA PART1 exert oncogenic effect in hepatocellular carcinoma by polarizing macrophages into M2.

AIM: We explored whether tumor-derived extracellular vesicles (EVs) could deliver long noncoding RNA (lncRNA) PART1 into macrophage to orchestrate macrophage polarization in the progression of hepatocellular carcinoma (HCC). METHOD: The expression patterns of PART1, microRNA (miR)-372-3p and TLR4 were detected by RT-qPCR in the HCC tissues and HCC cells. PART1 was silenced or overexpressed in HCC cells to assess its effects on the HCC cell process. EVs were isolated from PART1-overexpressed HCC cells, and co-cultured with macrophages, and gain- and loss-of-function assays were implemented in macrophages to evaluate their role in macrophage polarization. Relationship among PART1, miR-372-3p, and TLR4 was evaluated. Effect of EV-PART1 on tumorigenicity in vivo was detected by subcutaneous tumorigenicity test in nude mice. RESULT: PART1 and TLR4 were upregulated while miR-372-3p was downregulated in HCC tissues and cells. PART1 increased HCC cell proliferation, migration, invasion, and EMT. Mechanistically, PART1 bound to miR-372-3p to downregulate its expression, whereas TLR4 was negatively targeted by miR-372-3p in the macrophages. EVs containing PART1, TLR4 overexpression, or miR-372-3p inhibition induced M2 polarization of macrophages. Also, EVs containing PART1 promoted M2 polarization of macrophages and the occurrence of HCC by affecting miR-372-3p/TLR4 axis. CONCLUSION: HCC cell-derived EVs might up-regulate TLR4 by inhibiting miR-372-3p via PART1 delivery to promote macrophage M2 polarization in HCC.

The hypothetical molecular pathways of ursolic acid to attenuate the premature ovarian failure in human.

Premature ovarian failure, which is also called premature menopause, refers to the stop of menstruation and the formation of oocyte before 40 years old. As a disease which is closely related to the formation of oocyte and relevant meiosis, the role of adjacent cells such as ovarian granulosa cell or the membranous follicular cells in the pathogenesis of premature ovarian failure is currently being investigated. One of the most popular theories concludes that premature ovarian failure is due to the apoptosis of the ovarian granulosa cells, as they are responsible for the synthesis and regulation of multiple types of hormones and internal factors that are related to reproduction, for example, the inhibin, activin, and follistatin. The apoptosis of the ovarian granulosa cells can be initiated by various of internal or external environmental factors such as the hazardous chemicals in the ovarian or the excessive exposure to the physical radiation as a result of the occupation. While the detailed underlying mechanisms to cause the apoptosis of the ovarian granulosa cell are still unclear. The ursolic acid is white concrete at room temperature, and many studies have elucidated that it can relieve hypoxia and endoplasmic reticulum stress. In this article, the author proposed five molecular pathways of ursolic acid to relieve or cure premature ovarian failure in humans.

Mitochondrial DNA enables AIM2 inflammasome activation and hepatocyte pyroptosis in nonalcoholic fatty liver disease.

Mitochondria damage exacerbates NAFLD through trigerring AIM2 inflammasome activation and hepatocyte pyroptosis. This study provides novel insights into the underlying mechanisms of mitochondrial DNA synthesis in NAFLD and also suggests potential therapeutic targets for the treatment of NAFLD.

The potential mechanisms of piRNA to induce hepatocellular carcinoma in human.

The hepatocellular carcinoma, as one of the most frequently happened types of cancer in the world, has very complicated intracellular and extracellular molecular underlying pathogenic mechanisms. The role of genome and proteome in the proliferation and metastasis of the hepatocellular carcinoma has been thoroughly investigated, and many theories have been proposed. The subsequent developments, such as the targeted anti-cancer medicine or the treatment strategy, has profoundly influenced the prognosis of patients with hepatocellular carcinoma. As for the transcriptome, it is undeniable that the function of mRNA, rRNA even the long non-coding RNA have been discussed, while as a particular type of RNA-piRNA is not paid enough attention by the academy. piRNA is named because it always interacts with the piwi protein to achieve its physiological functions, with a length that is no more than 30 nucleotides. It is widely distributed in the reproductive organs such as the testis, the ovarian, and the stem cells. Previous studies have elucidated that the piRNA is closely closely related to the maturation of the sperms or the oocytes, even the progression of lung cancer. While the role and underlying molecular mechanisms of piRNA in the proliferation of hepatocellular carcinoma is not thoroughly researched and remained unknown. The authors in this article proposed potential mechanisms of piRNA to initiate the proliferation of hepatocellular carcinoma. We are hoping to provide a unique perspective to the academy and the following researches.

Two potential molecular signaling pathways of the UFL1 gene to induce the endoplasmic reticulum stress and apoptosis of the ovarian granulosa cell.

Endoplasmic reticulum stress (ERS) is a crucial physiological and pathological process takes place in the endoplasmic reticulum that usually induced by various intracellular and extracellular factors. It causes multiple diseases, including breast cancer, hepatocellular carcinoma, and premature ovarian failure that mainly associates with the ovarian granulosa cells. To effectively alleviate and cure the ERS and following diseases, molecular signaling pathways that are responsible for inducing ERS must be deeply investigated. There are many intracellular pathways to initiate the ERS, among which, detailed molecular mechanism the UFM1-specific ligase 1 (UFL1) gene induced analogous ubiquitylation related pathway is still unclear. However, some researches have reported that the UFL1 gene is responsible for initiating the ERS in the ovarian granulosa cell and premature ovarian failure. In this article, a new, highly possible molecular signaling pathway is proposed and hoping to provide a unique aspect for the following researches about ERS, especially in the ovarian granulosa cell.

Associations between Personal PM2.5 Elemental Constituents and Decline of Kidney Function in Older Individuals: the China BAPE Study.

Long-term exposure to fine particulate matter (PM2.5) is associated with kidney dysfunction. However, few studies have investigated acute effects of PM2.5 elemental constituents on renal function. We evaluated associations between personal PM2.5 and its elemental constituents and kidney function, assessed by an estimated glomerular filtration rate (eGFR) in Biomarkers of Air Pollutants Exposure in the Chinese aged 60-69 study. Seventy one older individuals were visited monthly between September 2018 and January 2019. Each participant wore a PM2.5 monitor for 72 h, responded to a questionnaire, and underwent a physical examination with blood sampling. Linear mixed-effect models were used to estimate associations between personal PM2.5 elemental constituents and eGFR. We found that significant changes in eGFR from -1.69% [95% confidence interval (CI): -3.34%, -0.01%] to -3.27% (95% CI: -5.04%, -1.47%) were associated with interquartile range (IQR) increases in individual PM2.5 exposures at various lag periods (7-12, 13-24, 0-24, 25-48, and 49-72 h). An IQR increase in 72 h moving averages of copper, manganese, and titanium in personal PM2.5 corresponded to -2.34% (95% CI: -3.67%, -0.99%) to -4.56% (95% CI: -7.04%, -2.00%) changes in eGFR. Personal PM2.5 and some of its elemental constituents are inversely associated with eGFR in older individuals.