The gut microbiota links disease to human genome evolution.

A large number of studies have established a causal relationship between the gut microbiota and human disease. In addition, the composition of the microbiota is substantially influenced by the human genome. Modern medical research has confirmed that the pathogenesis of various diseases is closely related to evolutionary events in the human genome. Specific regions of the human genome known as human accelerated regions (HARs) have evolved rapidly over several million years since humans diverged from a common ancestor with chimpanzees, and HARs have been found to be involved in some human-specific diseases. Furthermore, the HAR-regulated gut microbiota has undergone rapid changes during human evolution. We propose that the gut microbiota may serve as an important mediator linking diseases to human genome evolution.

Serum macroelements and microelements levels in periparturient dairy cows in relation to fatty liver diseases.

BACKGROUND: Fatty liver in dairy cows is a common metabolic disease defined by triglyceride (TG) buildup in the hepatocyte. Clinical diagnosis of fatty liver is usually done by liver biopsy, causing considerable economic losses in the dairy industry owing to the lack of more effective diagnostic methods. Therefore, this study aimed to investigate the potential utility of blood biomarkers for the diagnosis and early warning of fatty liver in dairy cows. RESULTS: A total of twenty-four lactating cows within 28 days after parturition were randomly selected as experimental animals and divided into healthy cows (liver biopsy tested, n = 12) and cows with fatty liver (liver biopsy tested, n = 12). Inductively coupled plasma mass spectrometry (ICP-MS) was used to determine the macroelements and microelements in the serum of two groups of cows. Compared to healthy cows (C), concentrations of calcium (Ca), potassium (K), magnesium (Mg), strontium (Sr), selenium (Se), manganese (Mn), boron (B) and molybdenum (Mo) were lower and copper (Cu) was higher in fatty liver cows (F). Meanwhile, the observed differences in macroelements and microelements were related to delivery time, with the greatest major disparity between C and F occurring 7 days after delivery. Multivariable analysis was used to test the correlation between nine serum macroelements, microelements and fatty liver. Based on variable importance projection and receiver operating characteristic (ROC) curve analysis, minerals Ca, Se, K, B and Mo were screened as the best diagnostic indicators of fatty liver in postpartum cows. CONCLUSIONS: Our data suggested that serum levels of Ca, K, Mg, Se, B, Mo, Mn, and Sr were lower in F than in C. The most suitable period for an early-warning identification of fatty liver in cows was 7 days after delivery, and Ca, Se, K, B and Mo were the best diagnostic indicators of fatty liver in postpartum cows.

Exploring the relationship between malnutrition and the systemic immune-inflammation index in older inpatients: a study based on comprehensive geriatric assessment.

BACKGROUND: Malnutrition is a prevalent and major challenge among senior citizens, possibly due to the continual low-grade inflammatory state of the body. A novel inflammatory parameter, the systemic immune-inflammation index (SII), is highly valuable in evaluating and predicting the prognosis of a wide range of diseases. This study aims to explore the significance of the SII in assessing malnutrition in older inpatients. METHODS: This retrospective study included 500 senior hospitalized patients who met the inclusion and exclusion criteria from the Comprehensive Geriatric Assessment database of the First Hospital of Jilin University. The Mini-Nutritional Assessment (MNA) questionnaire was used to evaluate the nutritional status of patients. The SII was calculated using complete blood counts, and we performed natural logarithm transformation of the SII [ln(SII)]. Multivariable logistic regression analysis was used to identify the association between ln(SII) and malnutrition. To ensure the stability of the findings, a sensitivity analysis was conducted. RESULTS: The 500 patients had a mean age of 77.29 ± 9.85 years, and 68.6% were male. In accordance with the MNA, 30.4% of the patients were malnourished or at risk of malnutrition, and patients in this group had considerably greater levels of ln(SII) than patients with adequate nutrition (P < 0.001). The optimum ln(SII) cutoff value for patients with malnutrition or at risk of malnutrition was 6.46 (SII = 635.87) with 46.7% sensitivity and 80.2% specificity [95% CI: 0.613-0.721, AUC: 0.667, P < 0.001]. Multivariable logistic regression demonstrated that ln(SII) was an independent risk factor for the risk of malnutrition or malnutrition in older individuals (OR 3.984, 95% CI: 2.426-6.543, P < 0.001). Other metrics from the geriatric comprehensive assessment, including body mass index, calf circumference, fat ratio, activities of daily living and instrumental activities of daily living, and geriatric depression scale scores, were also independently correlated with nutritional status. CONCLUSIONS: According to our research, a high SII is an independent predictor of older inpatient malnutrition, and the SII aids in screening for malnutrition and may be a potential target for intervention. Comprehensive geriatric assessment parameters such as BMI, calf circumference, fat ratio, activities of daily living and depression were also linked to malnutrition.

[Application of artificial intelligence in the diagnosis of prostate cancer].

With the rise of precision medicine, the continuous expansionWith the rise of precision medicine, the continuous expansion the collective push from many other the application of Artificial Intelligence (AI) in prostate cancer diagnosis is increasingly becoming a focal point. AI technology can effectively utilize diverse detection methods such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and whole pathology slide imaging to efficiently identify and differentiate between benign and malignant lesions. The encouraging results from numerous studies herald the enormous potential of this field. This article aims to provide a comprehensive summary and analysis of the research progress made in AI for prostate cancer diagnosis, in order to better grasp the trends in this area of development.

[Application of 1470 nm semiconductor laser in the treatment of benign prostatic hyperplasia in ultra-aged patients].

OBJECTIVE: To investigate the clinical effect and safety of transurethral 1470 nm semiconductor laser vaporization and cutting in the treatment of super high age and high risk benign prostatic hyperplasia. METHODS: The clinical data of 38 patients with super-high-risk prostate who underwent transurethral surgery in our hospital from April 2016 to December 2017 were retrospectively analyzed. All patients had obvious progressive dysuria. The diagnosis of benign prostatic hyperplasia was confirmed by urinary color Doppler ultrasound, anal finger examination, PSA, prostate biopsy, etc., and prostate cancer was excluded. Each patient was aged ≥85 years old and combined with one or more types. Senile basic diseases such as diabetes, hypertension, coronary heart disease, emphysema, sequelae of cerebral infarction, etc. The patients were randomly divided into two groups. The observation group was treated with transurethral 1470 nm semiconductor laser vaporization and the control group was treated with transurethral plasma electrotomy. To observe the changes of vital signs, bleeding, duration of surgery, postoperative bladder irrigation time, urinary catheter retention time, and changes of hemoglobin before and after surgery. Surgical safety. The international prostate symptom score (IPSS), quality of life score (QoL), maximum urinary flow rate (Qmax), and post-void residual urine volume (PVR) were evaluated 2 months after surgery and compared with preoperative evaluation to evaluate the surgical outcome. RESULTS: All 38 operations were successfully completed.The vital signs of the patients were stable during the operation. The average operation time of the observation group and the control group was (79.6±24.7 vs 69.5±19.8) min, P>0.05. The hemoglobin decreased by (6.9±3.0) g/L vs (13.2±4.0) g/L， after operation.P<0.05; postoperative bladder irrigation time (14.7±2.8 vs 23.5±5.3)h, P<0.05; average postoperative urinary catheter retention time (3.8±0.4 vs 5.7±0.9)d, P<0.05; average postoperative hospital stay (5.3±1.1 vs 7.2±1.9)d, P<0.05; all patients were followed up for 2 months, IPSS, QoL, Qmax, PVR and other indicators were significantly improved compared with preoperative, no major bleeding, urinary incontinence, cardiopulmonary failure and Significant urinary tract irritation symptoms occur. CONCLUSION: Compared with plasma electric resection, transurethral 1470 nm semiconductor laser treatment of benign prostatic hyperplasia has the advantages of high safety and remarkable effect, especially suitable for patients with high age and high risk.

[Network Meta-analysis of efficacy of Chinese patent medicine in treatment of inflammatory response in diabetic nephropathy].

This study aimed to evaluate the efficacy and safety of various Chinese patent medicines in the treatment of inflammatory response in diabetic nephropathy(DN) based on network Meta-analysis. Randomized controlled trial(RCT) of oral Chinese patent medicines for improving inflammatory response in patients with DN was retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, Cochrane Library, EMbase, Web of Science, and other databases from database inception to October 2022. All investigators independently screened the literature, extracted data, and evaluated the quality. Stata 16.0 software and RevMan 5.4.1 were used to analyze the data of the literature that met the quality standards. Finally, 53 RCTs were included, involving 6 Chinese patent medicines. The total sample size was 4 891 cases, including 2 449 cases in the test group and 2 442 cases in the control group. The network Meta-analysis showed that(1) in terms of reducing TNF-α, the top 3 optimal interventions according to the surface under the cumulative ranking curve(SUCRA) were Shenshuaining Capsules/Granules/Tablets + conventional western medicine, Jinshuibao Capsules + conventional western medicine, and Niaoduqing Granules + conventional western medicine.(2) In terms of reducing hs-CRP, the top 3 optimal interventions according to SUCRA were Bailing Capsules + conventional western medicine, Tripterygium Glycosides Tablets + conventional western medicine, and Shenshuaining Capsules/Granules/Tablets + conventional western medicine.(3) In terms of reducing IL-6, the top 3 optimal interventions according to SUCRA were Bailing Capsules + conventional western medicine, Tripterygium Glycosides Tablets + conventional western medicine, and Jinshuibao Capsules + conventional western medicine.(4) In terms of reducing UAER, the top 3 optimal interventions according to SUCRA were Shenshuaining Capsules/Granules/Tablets + conventional western medicine, Huangkui Capsules + conventional western medicine, and Jinshuibao Capsules + conventional western medicine.(5) In terms of reducing Scr, the top 3 optimal interventions according to SUCRA were Jinshuibao Capsules + conventional western medicine, Niaoduqing Granules + conventional wes-tern medicine, and Tripterygium Glycosides Tablets + conventional western medicine.(6) In terms of reducing BUN, the first 3 optimal interventions according to SUCRA were Niaoduqing Granules + conventional western medicine, Tripterygium Glycosides Tablets + conventional western medicine, and Huangkui Capsules + conventional western medicine.(7) In terms of improving the clinical total effective rate, the first 3 optimal interventions according to SUCRA were Jinshuibao Capsules + conventional western medicine, Niaoduqing Granu-les + conventional western medicine, and Huangkui Capsules + conventional western medicine. The results showed that the combination of western medicine and Chinese patent medicine could reduce the expression of serum inflammatory factors TNF-α, hs-CRP, and IL-6 and inhibit the inflammatory response. The combination of western medicine and Chinese patent medicine was superior to western medicine alone in reducing Scr, BUN, and UAER, and improving the total effective rate of treatment. Due to the limitation of the quantity and quality of literature included, the above conclusions need to be validated by more high-quality studies.

[Network Meta-analysis of efficacy of seven Chinese patent medicines in treatment of inflammatory response in chronic glomerulonephritis].

This study aimed to evaluate the efficacy and safety of various Chinese patent medicines in the treatment of inflammatory response in chronic glomerulonephritis(CGN) based on network Meta-analysis. Randomized controlled trial(RCT) of oral Chinese patent medicines for improving inflammatory response in patients with CGN was retrieved from databases such as CNKI, Wanfang, VIP, SinoMed, PubMed, Cochrane Library, EMbase, and Web of Science from database inception to March 2023. All investigators independently screened the literature, extracted data, and evaluated the quality. Stata 16.0 and RevMan 5.4.1 software were used to analyze the data of the literature that met the quality standards. Finally, 71 RCTs were included, involving 7 Chinese patent medicines. The total sample size was 6 880 cases, including 3 441 cases in the test group and 3 439 cases in the control group. The network Meta-analysis showed that(1) in terms of reducing TNF-α, the top 3 optimal interventions according to the surface under the cumulative ranking curve(SUCRA) were Shenyanshu Capsules/Granules/Tablets+conventional western medicine, Huangkui Capsules+conventional western medicine, and Bailing Capsules+conventional western medicine.(2) In terms of reducing hs-CRP, the top 3 optimal interventions according to SUCRA were Yishen Huashi Granules+conventional western medicine, Huangkui Capsules+conventional wes-tern medicine, and Bailing Capsules+conventional western medicine.(3) In terms of reducing IL-6, the top 3 optimal interventions according to SUCRA were Yishen Huashi Granules+conventional western medicine, Bailing Capsules+conventional western medicine, and Shenyan Kangfu Tablets+conventional western medicine.(4) In terms of reducing 24hUTP, the top 3 optimal interventions according to SUCRA were Shenyan Kangfu Tablets+conventional western medicine, Bailing Capsules+conventional western medicine, and Huangkui Capsules+conventional western medicine.(5) In terms of reducing Scr, the top 3 optimal interventions according to SUCRA were Bailing Capsules+conventional western medicine, Shenyanshu Capsules/Granules/Tablets+conventional western medicine, and Yishen Huashi Granules+conventional western medicine.(6) In terms of reducing BUN, the top 3 optimal interventions according to SUCRA were Yishen Huashi Granules+conventional western medicine, Shenyanshu Capsules/Granules/Tablets+conventional western medicine, and Bailing Capsules+conventional western medicine.(7) In terms of improving the clinical total effective rate, the top 3 optimal interventions according to SUCRA were Huangkui Capsules+conventional western medicine, Kunxian Capsules+conventional western medicine, and Yishen Huashi Granules+conventional western medicine. The results showed that the combination of conventional western medicine and Chinese patent medicine could reduce the expression of serum inflammatory factors TNF-α, hs-CRP, and IL-6 and inhibit the inflammatory response. The combination of conventional western medicine and Chinese patent medicine was superior to conventional western medicine alone in reducing Scr, BUN, and 24hUTP, and improving the clinical total effective rate of treatment. Due to the limitation of the quantity and quality of literature included, the above conclusions need to be validated by more high-quality studies.

Rethinking ovary preservation by adnexal torsion reversal in adolescents: a case of delayed diagnosis.

BACKGROUND: This article discusses the management of an adolescent woman with a delayed diagnosis of adnexal torsion (AT) whose ovaries were successfully preserved. CASE PRESENTATION: The patient was a 14-year-old female teen admitted with the chief complaint of lower abdominal pain for 3 days and worsening pain for 2 days. Magnetic resonance imaging suggested a high possibility of torsion in the anterosuperior uterine mass and was accompanied by severe ovarian edema, bleeding, and enlargement. Intraoperatively, the left fallopian tube was characterized by thickening and torsion and appeared blackish purple. The left fallopian tube paraovarian cyst was about 20 cm in size, and the left adnexa was twisted 1080° along the left infundibulopelvic ligament (suspensory ligament of the left ovary). The left ovary appeared blackish purple, with an enlarged diameter of about 10 cm. At the request and with the informed consent of the patient's parents, we preserved the left ovary and removed the left fallopian tube. The results of the endocrine, ultrasound, and tumor marker tests were normal 1 month after surgery. Follicles and blood flow signals seen in ultrasound examinations indirectly proved the successful preservation of the left ovary in the follow-up. CONCLUSIONS: Our attempt to preserve the ovaries in an adolescent with a delayed diagnosis of AT was successful.

A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest.

Background: the credit scoring model is an effective tool for banks and other financial institutions to distinguish potential default borrowers. The credit scoring model represented by machine learning methods such as deep learning performs well in terms of the accuracy of default discrimination, but the model itself also has many shortcomings such as many hyperparameters and large dependence on big data. There is still a lot of room to improve its interpretability and robustness. Methods: the deep forest or multi-Grained Cascade Forest (gcForest) is a decision tree depth model based on the random forest algorithm. Using multidimensional scanning and cascading processing, gcForest can effectively identify and process high-dimensional feature information. At the same time, gcForest has fewer hyperparameters and has strong robustness. So, this paper constructs a two-stage hybrid default discrimination model based on multiple feature selection methods and gcForest algorithm, and at the same time, it optimizes the parameters for the lowest type II error as the first principle, and the highest AUC and accuracy as the second and third principles. GcForest can not only reflect the advantages of traditional statistical models in terms of interpretability and robustness but also take into account the advantages of deep learning models in terms of accuracy. Results: the validity of the hybrid default discrimination model is verified by three real open credit data sets of Australian, Japanese, and German in the UCI database. Conclusions: the performance of the gcForest is better than the current popular single classifiers such as ANN, and the common ensemble classifiers such as LightGBM, and CNNs in type II error, AUC, and accuracy. Besides, in comparison with other similar research results, the robustness and effectiveness of this model are further verified.

Activating Cobalt Nanoparticles via the Mott-Schottky Effect in Nitrogen-Rich Carbon Shells for Base-Free Aerobic Oxidation of Alcohols to Esters.

Heterogeneous catalysts of inexpensive and reusable transition-metal are attractive alternatives to homogeneous catalysts; the relatively low activity of transition-metal nanoparticles has become the main hurdle for their practical applications. Here, the de novo design of a Mott-Schottky-type heterogeneous catalyst is reported to boost the activity of a transition-metal nanocatalyst through electron transfer at the metal/nitrogen-doped carbon interface. The Mott-Schottky catalyst of nitrogen-rich carbon-coated cobalt nanoparticles (Co@NC) was prepared through direct polycondensation of simple organic molecules and inorganic metal salts in the presence of g-C3N4 powder. The Co@NC with controllable nitrogen content and thus tunable Fermi energy and catalytic activity exhibited a high turnover frequency (TOF) value (8.12 mol methyl benzoate mol-1 Co h-1) for the direct, base-free, aerobic oxidation of benzyl alcohols to methyl benzoate; this TOF is 30-fold higher than those of the state-of-the-art transition-metal-based nanocatalysts reported in the literature. The presented efficient Mott-Schottky catalyst can trigger the synthesis of a series of alkyl esters and even diesters in high yields.

Degradable polyesters via ring-opening polymerization of functional valerolactones for efficient gene delivery.

Degradable polymers as gene and drug carriers are emerging as one of the most promising types of materials in the biomedical and pharmaceutical areas. Herein, we report the synthesis of a series of block co-polyesters (B1-B6) and random co-polyesters (C1-C4) via ring-opening polymerization of tertiary amine-bearing valerolactone and alkylated valerolactone monomers. These polymers can completely inhibit the electrophoretic migrations of plasmid DNAs (pDNAs) at a w/w ratio of 2-6. The polyplexes of these polymers with pDNAs were steadily formed in a narrow range of sizes (75 to 220 nm) and could be effectively internalized into the cytoplasm. The results of transfection experiments showed that the block copolymers generally exhibited better performance than their random counterparts and the aliphatic chain lengths on the backbone of the polymers obviously affected the transfection efficiency (TE). Block copolymer B5 with n-octyl chains generated the best TE in Hek293T cells, which was 2.2 fold that of polyethylenimine (PEI) 25k under the optimal conditions. Moreover, these polymers were found to be more biocompatible compared to PEI 25k, and showed degradable properties. Our results suggest that these polymers are potentially reliable/efficient non-viral gene vectors.

Retinoic Acid Signaling Coordinates Macrophage-Dependent Injury and Repair after AKI.

Retinoic acid (RA) has been used therapeutically to reduce injury and fibrosis in models of AKI, but little is known about the regulation of this pathway and what role it has in regulating injury and repair after AKI. In these studies, we show that RA signaling is activated in mouse and zebrafish models of AKI, and that these responses limit the extent of injury and promote normal repair. These effects were mediated through a novel mechanism by which RA signaling coordinated the dynamic equilibrium of inflammatory M1 spectrum versus alternatively activated M2 spectrum macrophages. Our data suggest that locally synthesized RA represses proinflammatory macrophages, thereby reducing macrophage-dependent injury post-AKI, and activates RA signaling in injured tubular epithelium, which in turn promotes alternatively activated M2 spectrum macrophages. Because RA signaling has an essential role in kidney development but is repressed in the adult, these findings provide evidence of an embryonic signaling pathway that is reactivated after AKI and involved in reducing injury and enhancing repair.

A PTBA small molecule enhances recovery and reduces postinjury fibrosis after aristolochic acid-induced kidney injury.

Phenylthiobutanoic acids (PTBAs) are a new class of histone deacetylase (HDAC) inhibitors that accelerate recovery and reduce postinjury fibrosis after ischemia-reperfusion-induced acute kidney injury. However, unlike the more common scenario in which patients present with protracted and less clearly defined onset of renal injury, this model of acute kidney injury gives rise to a clearly defined injury that begins to resolve over a short period of time. In these studies, we show for the first time that treatment with the PTBA analog methyl-4-(phenylthio)butanoate (M4PTB) accelerates recovery and reduces postinjury fibrosis in a progressive model of acute kidney injury and renal fibrosis that occurs after aristolochic acid injection in mice. These effects are apparent when M4PTB treatment is delayed 4 days after the initiating injury and are associated with increased proliferation and decreased G2/M arrest of regenerating renal tubular epithelial cells. In addition, there is reduced peritubular macrophage infiltration and decreased expression of the macrophage chemokines CX3Cl1 and CCL2. Since macrophage infiltration plays a role in promoting kidney injury, and since renal tubular epithelial cells show defective repair and a marked increase in maladaptive G2/M arrest after aristolochic acid injury, these findings suggest M4PTB may be particularly beneficial in reducing injury and enhancing intrinsic cellular repair even when administered days after aristolochic acid ingestion.

Balancing act: The dilemma of rapid hyperglycemia correction in diabetes management.

The global diabetes surge poses a critical public health challenge, emphasizing the need for effective glycemic control. However, rapid correction of chronic hyperglycemia can unexpectedly trigger microvascular complications, necessitating a reevaluation of the speed and intensity of glycemic correction. Theories suggest swift blood sugar reductions may cause inflammation, oxidative stress, and neurovascular changes, resulting in complications. Healthcare providers should cautiously approach aggressive glycemic control, especially in long-standing, poorly controlled diabetes. Preventing and managing these complications requires a personalized, comprehensive approach with education, monitoring, and interdisciplinary care. Diabetes management must balance short and long-term goals, prioritizing overall well-being. This editorial underscores the need for a personalized, nuanced approach, focusing on equilibrium between glycemic control and avoiding overcorrection.

Primary pulmonary meningioma and minute pulmonary meningothelial-like nodules: Rare pulmonary nodular lesions requiring more awareness in clinical practice.

In this editorial, we comment on an article by Ruan et al published in a recent issue of the World Journal of Clinical Case. Pulmonary meningothelial proliferative lesions, including primary pulmonary meningiomas, minute pulmonary meningothelial-like nodules, and metastatic pulmonary meningiomas are rare pulmonary lesions. These lesions are difficult to differentiate from lung cancers based on clinical and imaging manifestations. Herein, we briefly introduce the clinical, imaging, and pathological characteristics of these lesions and discuss their pathogenesis to strengthen the current understanding of pulmonary meningothelial proliferative lesions in clinical diagnosis and therapy.

Elucidating the cardioprotective mechanisms of sodium-glucose cotransporter-2 inhibitors beyond glycemic control.

Sodium-glucose cotransporter-2 (SGLT2) inhibitors have emerged as a pivotal intervention in diabetes management, offering significant cardiovascular benefits. Empagliflozin, in particular, has demonstrated cardioprotective effects beyond its glucose-lowering action, reducing heart failure hospitalizations and improving cardiac function. Of note, the cardioprotective mechanisms appear to be inde-pendent of glucose lowering, possibly mediated through several mechanisms involving shifts in cardiac metabolism and anti-fibrotic, anti-inflammatory, and anti-oxidative pathways. This editorial summarizes the multifaceted cardiovascular advantages of SGLT2 inhibitors, highlighting the need for further research to elucidate their full therapeutic potential in cardiac care.

Evolutionary screening of precision oncology biomarkers and its applications in prognostic model construction.

Biomarker screening is critical for precision oncology. However, one of the main challenges in precision oncology is that the screened biomarkers often fail to achieve the expected clinical effects and are rarely approved by regulatory authorities. Considering the close association between cancer pathogenesis and the evolutionary events of organisms, we first explored the evolutionary feature underlying clinically approved biomarkers, and two evolutionary features of approved biomarkers (Ohnologs and specific evolutionary stages of genes) were identified. Subsequently, we utilized evolutionary features for screening potential prognostic biomarkers in four common cancers: head and neck squamous cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, and lung squamous cell carcinoma. Finally, we constructed an evolution-strengthened prognostic model (ESPM) for cancers. These models can predict cancer patients' survival time across different cancer cohorts effectively and perform better than conventional models. In summary, our study highlights the application potentials of evolutionary information in precision oncology biomarker screening.

Transcriptomic and biochemical insights into fall armyworm (Spodoptera frugiperda) responses on silicon-treated maize.

Background: The fall armyworm, Spodoptera frugiperda, is an agricultural pest of significant economic concern globally, known for its adaptability, pesticide resistance, and damage to key crops such as maize. Conventional chemical pesticides pose challenges, including the development of resistance and environmental pollution. The study aims to investigate an alternative solution: the application of soluble silicon (Si) sources to enhance plant resistance against the fall armyworm. Methods: Silicon dioxide (SiO2) and potassium silicate (K2SiO3) were applied to maize plants via foliar spray. Transcriptomic and biochemical analyses were performed to study the gene expression changes in the fall armyworm feeding on Si-treated maize. Results: Results indicated a significant impact on gene expression, with a large number of differentially expressed genes (DEGs) identified in both SiO2 and K2SiO3 treatments. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis identified critical DEGs involved in specific pathways, including amino acid, carbohydrate, lipid, energy, xenobiotics metabolisms, signal transduction, and posttranslational modification, significantly altered at both Si sources. Biochemical analyses further revealed that Si treatments inhibited several enzyme activities (glutamate dehydrogenase, trehalase, glucose-6-phosphate dehydrogenase, chitinase, juvenile hormone esterase, and cyclooxygenase while simultaneously inducing others (total protein, lipopolysaccharide, fatty acid synthase, ATPase, and cytochrome P450), thus suggesting a toxic effect on the fall armyworm. In conclusion, Si applications on maize influence the gene expression and biochemical activities of the fall armyworm, potentially offering a sustainable pest management strategy.

Evolution-strengthened knowledge graph enables predicting the targetability and druggability of genes.

Identifying promising targets is a critical step in modern drug discovery, with causative genes of diseases that are an important source of successful targets. Previous studies have found that the pathogeneses of various diseases are closely related to the evolutionary events of organisms. Accordingly, evolutionary knowledge can facilitate the prediction of causative genes and further accelerate target identification. With the development of modern biotechnology, massive biomedical data have been accumulated, and knowledge graphs (KGs) have emerged as a powerful approach for integrating and utilizing vast amounts of data. In this study, we constructed an evolution-strengthened knowledge graph (ESKG) and validated applications of ESKG in the identification of causative genes. More importantly, we developed an ESKG-based machine learning model named GraphEvo, which can effectively predict the targetability and the druggability of genes. We further investigated the explainability of the ESKG in druggability prediction by dissecting the evolutionary hallmarks of successful targets. Our study highlights the importance of evolutionary knowledge in biomedical research and demonstrates the potential power of ESKG in promising target identification. The data set of ESKG and the code of GraphEvo can be downloaded from https://github.com/Zhankun-Xiong/GraphEvo.

Thymic lipofibroadenomas: Three case reports.

BACKGROUND: Thymic lipofibroadenomas are extremely rare. In this study, we investigated the clinicopathological characteristics of thymic lipofibroadenomas. CASE SUMMARY: This study included three patients with thymic lipofibroadenomas. We retrospectively analyzed the patient data to determine the clinicopathological characteristics of thymic lipofibroadenomas. The study included one man and two women [mean age, 43 (33-59) years]. All patients were non-smokers and presented with well-defined anterior mediastinal tumors. The cut surfaces of the tumors were solid, with a mixture of yellow and white areas. Microscopic evaluation of resected specimens showed scattered cord-like structures of epithelial cells embedded within abundant fibrotic and hyaline stroma admixed with variable quantities of adipose tissue. One patient showed hyperplastic thymic tissue in a part of the tumor. CONCLUSION: Thymic lipofibroadenomas are an extremely rare type of benign thymic tumor. Surgical removal of lipofibroadenomas is usually curative.