Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Transmembrane proteins (TMEM) are a type of membrane protein. Most proteins in this family are located in the phospholipid bilayer of the cell membrane, while a smaller portion is found in the membranes of cellular organelles. Transmembrane protein 43 (TMEM43) is a member of the TMEM protein family and is encoded by the TMEM43 gene. This protein consists of 400 amino acids and has 4 transmembrane domains and 1 membrane-associated domain. TMEM43 is localized to various biological membranes within the cell, such as the cell membrane and nuclear membrane, where it forms transmembrane channels for various ions. Additionally, TMEM43 is expressed in many species, showing high genetic similarity, especially with the four transmembrane domains being highly conserved. Current studies on the TMEM43 gene are still in its early stages, mainly focusing on its association with arrhythmogenic right ventricular cardiomyopathy (ARVC) and cancer. However, recent studies suggest that pathogenic mutations in TMEM43 may cause auditory neuropathy spectrum disorder (ANSD). Patients with TMEM43 p.Ser372Ter exhibited late-onset progressive ANSD. Impact of TMEM43 pathogenic mutations on individual hearing was likely mediated through effects on gap junction (GJ) structures on glia-like supporting cells (GLS), cell membranes. The TMEM43 p.Arg372Ter pathogenic mutation primarily affected the structure and function of TMEM43 protein, leading to premature termination of protein translation and the production of a truncated protein. Abnormal TMEM43 protein significantly reduced K⁺ influx in GLS cells, disrupting the endolymphatic K⁺ circulation and cochlear microenvironment homeostasis. When K⁺ circulation was obstructed, the endocochlear potential (EP) became abnormal, impairing the physiological function of hair cells and potentially leading to hearing impairment. However, it is important to note that studies on the mechanism is limited, and more experimental evidence is needed to confirm this hypothesis. Currently, there is a significant gap in research on TMEM43 and hearing loss, with many issues remaining unresolved. While TMEM43 has been studied in relation to hearing loss in humans, zebrafish, mice, and rats, the research is still preliminary. Detailed investigations into the molecular pathogenic mechanisms, the impact of mutations on hearing damage, and related therapeutic strategies are needed. Additionally, as a newly identified hearing loss-related gene, the mutation frequency and incidence of hearing disorders associated with TMEM43 have not been effectively quantified. For example, the ClinVar database listed 829 mutation sites for the TMEM43 gene, with only three mutations related to auditory neuropathy: c.605A>T (p.Asn202Ile), c.889T>A (p.Phe297Ile), and c.1114C>T (p.Arg372Ter). Aside from the aforementioned TMEM43 c.1114C>T (p.Arg372Ter) mutation observed in patients, the other two mutations were experimentally induced and have not been found in patients. Consequently, these mutations have been classified as unknown significance. We reviewed the current understanding of TMEM43 and hearing loss, analyzed its role in ear development and sound conduction, and explored the impact of TMEM43 gene variations on hearing loss, aiming to provide new insights for future research and precision medicine related to TMEM43.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

Objective To observe the predictive factors of poor prognosis in patients with acute basilar artery occlusion(BAO)who got first-pass effect(FPE)after mechanical thrombectomy(MT).Methods Eighty-two acute BAO patients who got FPE following MT were retrospectively collected and divided into good prognosis group(modified Rankin scale[mRS]score≤3,n=48)and poor prognosis group(mRS score＞3,n=34)90 days after treatments.The data were compared between groups,and variables which showed P＜0.1 were included in multivariate logistic regression analysis to identify independent predictors of poor prognosis in acute BAO patients who got FPE after MT.Results Higher age of patients,pre-treatment National Institute Health stroke scale(NIHSS)and neutrophil-to-lymphocyte ratio(NLR),also higher proportions of patients with diabetes mellitus,atrial fibrillation(AF)and cardioembolic stroke in trial of org 10 172 in acute stroke treatment(TOAST)classification were found in poor prognosis group than those in good prognosis group(all P＜0.05).Conversely,patients in poor prognosis group had lower pre-treatment Glasgow coma scale(GCS)scores,lower posterior circulation-Alberta stroke program early CT score(pc-ASPECTS)and basilar artery on CT angiography(BATMAN)scores(all P＜0.05).Multivariate logistic regression analysis revealed patients complicated with AF(OR[95%CI]=29.769[1.470,602.943])and elevated pre-treatment NLR(OR[95%CI]=1.212[1.016,1.446])had relatively poor prognosis(both P＜0.05),whereas those with increased pre-treatment GCS score(OR[95%CI]=0.615[0.429,0.882]),elevated pc-ASPECTS(OR[95%CI]=0.263[0.092,0.748])and higher BATMAN score(OR[95%CI]=0.260[0.085,0.796])had relatively better prognosis(all P＜0.05).Conclusion Complicated with AF,low pre-treatment GCS score,high NLR,low pc-ASPECTS and low BATMAN score were all predictive factors for poor prognosis in acute BAO patients who got FPE after MT.

Aortic regurgitation and mitral regurgitation are more common in elderly heart valve disease,and both may be present in some patients.Severe aortic regurgitation complicated with severe mitral regurgitation often requires surgical valve replacement,but in patients at high risk of surgery,the risk of perioperative mortality is significantly increased.Therefore,for such patients,minimally invasive interventions can significantly improve long-term patient outcomes while reducing surgical risk.This article report a case of transcatheter aortic valve replacement combined with transcatheter edge-to-edge repair in the treatment of severe aortic regurgitation combined with mitral valve prolapse,in order to explore new treatment ideas for similar cases.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

Objective:To develop a formula correlating body weight and the insertion length of peripherally inserted central catheters (PICC) in very low birth weight infants (VLBWI) undergoing lower limb PICC placement, aiming to improve the success rate of one-time catheter placement.Methods:A prospective research method was adopted, 205 VLBWI patients who were hospitalized in the NICU of Shenzhen Maternal and Child Health Hospital from May 2023 to February 2024 and had indwelling PICC in the lower extremities were selected as the research subjects using the convenience sampling method. Data including gender, insertion vein, body weight on the day of catheterization, and the vertical distance from the puncture site to the first popliteal crease were collected. Pearson correlation analysis and linear regression analysis were used to construct a predictive formula for estimating the insertion length of PICC based on body weight. The Bland-Altman plot was applied to evaluate the consistency between the predicted insertion depth using the formula and the actual correct insertion length.Results:A total of 182 VLBWI were included in the study, comprising 102 male infants and 80 female infants. The catheterization sites were the right lower extremity in 166 cases and the left lower extremity in 16 cases. The body weight was (1.08 ± 0.26) kg. The vertical distance from the puncture site to the first popliteal crease was (5.58 ± 1.72) cm. The prediction formula for the length of lower extremity PICC catheterization was constructed through linear regression analysis: PICC insertion length = 8.013 + [5.194×body weight (kg)] ± vertical distance from the puncture site to the popliteal crease (cm). Consistency evaluation showed good agreement between the predicted insertion depth and the actual correct insertion length, with 95% of the measurement differences falling within the limits of agreement. The mean difference was 0.07 cm ( P > 0.05). Conclusions:The weight-based formula derived for VLBWI provides a basis for predicting the optimal insertion length of PICC in clinical practice.

Objective:To evaluate the changes in cortical electroencephalogram (EEG) burst suppression rate (BSR) during sevoflurane anesthesia in septic mice and the correlation with cerebral blood perfusion.Methods:Forty SPF male C57BL/6J mice, aged 8-10 weeks, weighing 22-25 g, were divided into 2 groups ( n=20 each) by the random number table method: sham operation group (Sham group) and cecal ligation perforation group (CLP group). The sepsis model was established by cecal ligation and puncture in anesthetized animals. Mice in both groups inhaled 2% sevoflurane for 2 h. During sevoflurane anesthesia, BSR (30 min as an epoch) on electroencephalogram was recorded, and the cortical cerebral blood perfusion was recorded using the laser speckle flow imaging at 30, 60, 90 and 120 min of anesthesia. Results:Compared with Sham group, the cortical EEG BSR was significantly increased, and the cortical cerebral blood perfusion was decreased during sevoflurane anesthesia in CLP group ( P<0.05). Cortical EEG BSR was negatively correlated with cortical cerebral blood perfusion ( P<0.05). Conclusions:Cortical EEG BSR increases during sevoflurane anesthesia in septic mice, which may be related to decreased cortical cerebral blood perfusion.