Noise Analysis and Suppression Methods for the Front-End Readout Circuit of a Microelectromechanical Systems Gyroscope.

Circuit noise is a critical factor that affects the performances of an MEMS gyroscope. Therefore, it is essential to analyze and suppress the noises in the key analog circuits, which are the main noise sources. This study presents an optimized front-end readout circuit and noise suppression methods. First, the noise analysis of the front-end readout circuit is carried out with theoretical derivation to clarify the main noise contributors. To suppress the output noise, an improved readout circuit based on the T-resistor networks is proposed, and the corresponding noise equation is derived in detail. In addition, the noise analysis of the critical circuits of the detection and control system, such as the inverting amplifiers, the first-order low-pass filters, and the first-order high-pass filters, is carried out, and the noise suppression strategy with the optimization of the resistances and is proposed. Taking the inverting amplifier as an example, the theoretical derivation is verified by measuring and comparing the output noises of different resistance schemes. In addition, the output noises of the gyroscope before and after circuit optimization are measured. Experimental results demonstrate that the output noise with the circuit optimization is reduced from 60 µV/Hz1/2 to 30 µV/Hz1/2 and the bias instability is reduced from 3.8 deg/h to 1.38 deg/h. In addition, the ARW is significantly improved from 0.035 deg/h1/2 to 0.018 deg/h1/2, which indicates that the proposed noise analysis and suppression methods are effective and feasible.

The relationship between the Barthel Index and stroke-associated pneumonia in elderly patients and factors of SAP.

BACKGROUND: Stroke-associated pneumonia (SAP) is a common complication in stroke patients, and the Barthel Index (BI) is a well-established metric for assessing activities of daily living (ADL). However, the association between BI and SAP in acute ischemic stroke (AIS) patients remains unclear. This study aims to investigate the relationship between BI at admission and SAP, and explore the factors in AIS elderly patients. METHOD: Retrospective data were collected from ischemic stroke patients hospitalized at the Second Affiliated Hospital of Nanchang University between January 2018 and July 2021, including their basic demographic and laboratory test results. Restricted cubic spline regression, multivariate logistic regression analysis, and receiver operating characteristic (ROC) curve analysis were employed to investigate the relationship between BI and SAP. Additionally, the Shapley Additive exPlanations (SHAP) method was used to identify the factors influencing SAP. RESULTS: The study included 7,548 eligible stroke patients with a mean age of 75.1 ± 7.6 years, among which 41.14% were female. The SAP group demonstrated significantly lower BI compared to the non-SAP group (50.86 ± 35.60 vs. 75.27 ± 26.33, P < 0.001). Additionally, a conspicuous trend of decreasing SAP risk across the Q1-4 groups was observed (P < 0.001). The RCS analysis further confirmed a gradual reduction in SAP risk with increasing BI. Based on the clinical model, both the BI (NRI = 0.014, P = 0.005; IDI = 0.04, P < 0.001) and the NIHSS score (NRI = 0.09, P = 0.03; IDI = 0.025, P < 0.001) demonstrated additional predictive value for SAP. Multivariate logistic regression and SHAP analysis identified WBC, CONUT, TG, UA, and RBC levels, as well as the type of health insurance (urban employee basic medical insurance), as important independent predictors of SAP. CONCLUSION: BI at admission constitutes a risk factor for the onset of SAP in elderly patients with AIS, Compared to the NIHSS and mRS score, BI may be a more reliable and practical predictor of SAP.

LncRNA Snhg3 aggravates hepatic steatosis via PPARγ signaling.

LncRNAs are involved in modulating the individual risk and the severity of progression in metabolic dysfunction-associated fatty liver disease (MASLD), but their precise roles remain largely unknown. This study aimed to investigate the role of lncRNA Snhg3 in the development and progression of MASLD, along with the underlying mechanisms. The result showed that Snhg3 was significantly downregulated in the liver of high-fat diet-induced obesity (DIO) mice. Notably, palmitic acid promoted the expression of Snhg3 and overexpression of Snhg3 increased lipid accumulation in primary hepatocytes. Furthermore, hepatocyte-specific Snhg3 deficiency decreased body and liver weight, alleviated hepatic steatosis and promoted hepatic fatty acid metabolism in DIO mice, whereas overexpression induced the opposite effect. Mechanistically, Snhg3 promoted the expression, stability and nuclear localization of SND1 protein via interacting with SND1, thereby inducing K63-linked ubiquitination modification of SND1. Moreover, Snhg3 decreased the H3K27me3 level and induced SND1-mediated chromatin loose remodeling, thus reducing H3K27me3 enrichment at the Pparg promoter and enhancing PPARγ expression. The administration of PPARγ antagonist T0070907 improved Snhg3-aggravated hepatic steatosis. Our study revealed a new signaling pathway, Snhg3/SND1/H3K27me3/PPARγ, responsible for mice MASLD and indicates that lncRNA-mediated epigenetic modification has a crucial role in the pathology of MASLD.

Malnutrition is associated with severe outcome in elderly patients hospitalised with COVID-19.

Some studies have identified influencing factors of COVID-19 illness in elderly, such as underlying diseases, but research on the effect of nutritional status is still lacking. This study retrospectively examined the influence of nutritional status on the outcome of elderly COVID-19 inpatients. A retrospective analysis of the clinical data of 4241 COVID-19 patients who were admitted to a third-class hospital of Nanchang between November 1, 2022 and January 31, 2023 was conducted. Nutritional status was assessed using the prognostic nutritional index (PNI) and controlling nutritional status score (CONUT). The influence of nutritional status on the outcome of COVID-19 patients was determined through multivariate adjustment analysis, restrictive cubic spline, and receiver operating characteristic curve (ROC). Compared with mild/no malnutrition, severe malnutrition substantially increased the critical outcome of COVID-19. A linear relationship was observed between the odds ratio (OR) and PNI and CONUT (P > 0.05). The area under the ROC curve indicated that PNI was the better predictor. The optimal cutoff value of PNI was 38.04 (95%CI: 0.797 ~ 0.836, AUC = 0.817), with a sensitivity of 70.7% and a specificity of 79.6%. The critical illness of elderly COVID-19 patients shows a linear relationship with malnutrition at admission. The use of PNI to assess the prognosis of COVID-19 eldeely patients is reliable, highlighting the importance for doctors to closely pay attention to the nutritional status of COVID-19 patients. Focusing on nutritional status in clinical practice can effectively reduce the critical illness of elderly COVID-19 patients.

Clinical outcomes and prognostic factors of parameningeal rhabdomyosarcoma in children and adolescents: results of two consecutive protocols.

Background: Parameningeal rhabdomyosarcoma (PM-RMS) accounts for about 20% of all rhabdomyosarcoma (RMS) cases. At present, most research on PM-RMS has been conducted in Europe and the United States of America, and research in China has been very limited. This study sought to analyze the clinical outcomes and prognostic factors of PM-RMS in children and adolescents from two consecutive protocols at Beijing Children's Hospital (BCH). Methods: A total of 80 patients aged up to 18 years with previously untreated PM-RMS who had received treatment under two consecutive protocols [i.e., either the BCH-RMS-2006 protocol or the Chinese Children Cancer Group (CCCG)-RMS-2016 protocol] were included in the statistical analysis. The Kaplan-Meier method was used for the survival analysis, and Cox regression was used for the univariate and multivariate analyses. Results: Of the 80 patients enrolled in the study, 69 (86.2%) had meningeal invasion (MI). Of these 69 MI patients, 18 (22.5%) had cranial nerve palsy (CNP), 64 (80.0%) had cranial base bone erosion (CBBE), 25 (31.3%) had intracranial extension (ICE), and 2 (2.5%) had positive cerebrospinal fluid (CSF) tumor cells. The median follow-up time was 20.5 months (range, 5-100 months). The 5-year overall survival (OS) and progression-free survival (PFS) rates for the entire cohort were 51.7% and 45.6%, respectively. The 5-year OS rates of the patients who received the BCH-RMS-2006 protocol (18/80, 22.5%) and the CCCG-RMS-2016 protocol (62/80, 77.5%) were 33.3% and 57.0%, respectively (P<0.05), while the PFS rates of these patients were 22.2% and 53.6%, respectively (P<0.05). In relation to the PM-RMS patients with MI, the 5-year OS rates were 21.4% and 52.7%, and the 5-year PFS rates were 14.3% and 51.1% for the patients who received the old and new regimens, respectively (P<0.05). The extent of surgical resection had no significant effect on survival. The multivariate analysis showed that the coexistence of CBBE and ICE, no radiotherapy, a poor response to induction chemotherapy, and the BCH-RMS-2006 protocol were risk factors affecting PFS and OS. Conclusions: Of the patients examined in this study, those with PM-RMS with CBBE accompanied by ICE had the worst prognosis. The patients with MI benefited from intensive chemotherapy combined with radiation therapy, but the effect of surgery was very limited.

Adverse childhood experiences, marital status and depressive symptoms in later life among the Chinese middle-aged and older adults : the mediating role of marital status.

BACKGROUND: Many studies have shown that adverse childhood experiences (ACEs) lead to adverse social relations in middle-aged and older adults and harm physical and mental health, but few studies have focused on the impact of ACEs on marital status in middle-aged and older adults and the potential influence of marital status between ACEs and depressive symptoms. PURPOSE: This study aimed to analyze the effect of ACEs on marital status and depressive symptoms in the Chinese middle-aged and older adults, and to explore the mediating role of marital status in the association between ACEs and depressive symptoms in middle-aged and older adults. METHOD: This study used the China Health and Retirement Longitudinal Study (CHARLS) 2014 life history survey and 2015 and 2018 follow-up data to analyze, ten ACEs conditions and marital status were collected by questionnaire, using the Center for Epidemiological Studies Depression Scale (CESD-10) 10-item short form to assess depressive symptoms. The association between cumulative ACEs and marital status was assessed by constructing a multinomial logistic regression (MLR) model, as well as a binary logistic regression model to assess the association between ACEs and depressive symptoms. The mediating role of marital status in the association between ACEs and depressive symptoms was also assessed. RESULTS: A total of 10,246 individuals aged 45 years or older were included in the analysis. Compared to individuals who did not experience ACEs, those who experienced two or more ACEs had a higher risk of being unmarried (seperated/divorced/never married) (OR = 1.67, 95% CI=[1.10,2.51]) and a higher risk of depressive symptoms (OR = 1.66, 95% CI=[1.49,1.84]) in middle and old age. Unmarried status partially mediated the association of ACEs with depressive symptoms. CONCLUSION: Chinese middle-aged and older people who experienced two or more ACEs have higher risks of unmarried status and depressive symptoms, and unmarried status partially mediated the ACEs-depressive symptom association. These findings reveal the fact that we need to develop life-cycle public health strategies to reduce exposure to ACEs and society should give more attention to the marital status of older people, thereby reducing the risk of depression among middle-aged and older adults in China.

LncRNA-Snhg3 regulates mouse hepatic glycogenesis under normal chow diet.

Long noncoding RNAs (lncRNAs) are strongly associated with glucose homeostasis, but their roles remain largely unknown. In this study, the potential role of lncRNA-Snhg3 in glucose metabolism was evaluated both in vitro and in vivo. Here, we found a positive relationship between Snhg3 and hepatic glycogenesis. Glucose tolerance improved in hepatocyte-specific Snhg3 knock-in (Snhg3-HKI) mice, while it worsened in hepatocyte-specific Snhg3 knockout (Snhg3-HKO) mice. Furthermore, hepatic glycogenesis had shown remarkable increase in Snhg3-HKI mice and reduction in Snhg3-HKO mice, respectively. Mechanistically, Snhg3 increased mRNA and protein expression levels of PPP1R3B through inducing chromatin remodeling and promoting the phosphorylation of protein kinase B. Collectively, these results suggested that lncRNA-Snhg3 plays a critical role in hepatic glycogenesis.

Versatile Bovine Serum Albumin as Ingenious Electron Operator-Enhanced Photoelectrochemical Biosensing for Ultrasensitive Detection of miRNA.

Bovine serum albumin (BSA) has been widely used in biosensors as a blocking agent. Herein, conformist BSA was first exploited as an ingenious operator to enhance the photocurrent response of (2Z,2'Z)-2,2'-(1,4-phenylene)bis(3-(4-(bis(4-methoxyphenyl)amino)phenyl)acrylonitrile) (TPDCN)-based photoelectrochemical (PEC) platform via manipulating the electron transfer process of the detection system. Concretely, the presence of target molecules triggered catalytic hairpin assembly reaction and subsequently powered terminal deoxynucleotidyl transferase-mediated signal amplification to produce the AgNP@BSA-DNA dendrimer nanostructure. After being treated with HNO3, a large amount of BSA could be released from the dendrimer nanostructure. When they were transferred to the TPDCN-based PEC platform, the photocurrent response of the biosensor was largely enhanced because BSA can manipulate the electrons of TPDCN via a well-matched energy level to form a new electron transfer track. Meanwhile, tryptophan (Trp) in BSA could be oxidized to quinone Trp-O under photoirradiation, which can facilitate the oxidation of ascorbate and generate more H+ to promote the migration of photogenerated electrons. As a result, the proposed PEC biosensor exhibits excellent analytical performance for detection of miRNA-21 (as a model target) over a wide linear range of 0.01 to 10,000 pM with detection limit as low as 4.7 fM. Overall, this strategy provides a new perspective on constructing efficient PEC biosensors, which expands the potential applications in bioanalysis and clinical diagnosis.

Establishment of human embryonic stem cell lines carrying LQT1 mutations by CRISPR base editing.

The KCNQ1 gene encodes a voltage-gated potassium channel required for cardiac action potentials. Mutations in this gene have been associated with hereditary long QT syndrome 1, Jervell and Lange-Nielsen syndromes, and familial atrial fibrillation. The NM_000218.3(KCNQ1): c.604 + 2T > C mutation has been categorized as the causative variant leading to LQT1. In this study, we generated a KCNQ1 (c.644 + 2T > C) mutation human embryonic stem cell line WAe009-A-1L based on CRISPR base editing system. WAe009-A-1L cell has the potential to differentiate cardiomyocytes and would be used as an in vitro disease model for mechanism exploration and drug screening.

A New Index for Cervical Curvature Evaluation - Relative Cervical Curvature Area.

OBJECTIVE: To put forward a new index of cervical curvature evaluation - relative cervical curvature area, and a new classification of cervical spine was proposed according to the relative cervical curvature area. METHODS: A total of 167 subjects with cervical spondylosis were included in the study. Firstly, 119 subjects were selected to measure C2-C7 lordosis angle by Cobb angle method, Harrison posterior tangent method, and Jackson physiological stress line method, and then their relative cervical curvature area, C1-C7 Cobb angle, C7 slope, and T1 slope were measured. The correlation between relative cervical curvature area and 3 measurement methods and common sagittal parameters was analyzed. According to the angle classification method, we calculated the diagnostic boundary value of the relative cervical curvature area classification, and selected 48 subjects to evaluate its diagnostic efficacy. Finally, 119 subjects were re-evaluated according to the diagnostic threshold and the number of intersections to verify the feasibility of the new classification. RESULTS: The results showed that the relative cervical curvature area index had good intraobserver and interobserver repeatability. Relative cervical curvature area was correlated with Harrison posterior tangent method (r = 0.930), Cobb angle method (r = 0.886), and Jackson physiological stress line method (r = 0.920), and correlated with C1-C7 Cobb angle, C7 slope, and T1 slope. The relative cervical curvature area has a good diagnostic performance for distinguishing patients with lordosis, straightening, and kyphosis. According to the new classification of cervical spine, 119 subjects were divided into 57 simple lordosis, 11 simple straightening, 4 simple kyphosis, 26 S-type, and 21 RS-type. CONCLUSIONS: The relative cervical curvature area uses the area parameter instead of the original angle parameter and distance parameter to incorporate the change of segmental curvature, which makes up for the shortcomings of the Cobb angle method that only evaluates the curvature of 2 vertebrae, and better reflects the cervical curvature. Studies have shown that relative cervical curvature area has good repeatability and diagnostic value, and found that it has a good correlation with common cervical sagittal parameters. The new classification of cervical spine makes up for the disadvantage that the angle classification method cannot distinguish between S-type and RS-type, and initially proposes to use the number of intersections and the relative absolute value area to reflect the severity of S-type.

Association between body mass index and lymph node metastasis among women with cervical cancer: a systematic review and network meta-analysis.

PURPOSE: Lymph node status is a determinant of survival in patients with early-stage cervical cancer. However, the relationship between obesity and lymph node status remains unclear. Therefore, this systematic review aims to evaluate the correlation between body mass index (BMI) and lymph node metastasis in cervical cancer. METHODS: Cohort studies through six databases were reviewed until December 2021. Odds ratios (ORs) for lymphatic metastasis were estimated using random-effects models and network meta-analysis. BMI groups for lymph node metastasis were ranked. Heterogeneities were assessed using I2. Subgroup analyses were performed to determine possible sources of heterogeneity. RESULTS: No significant difference was found between obese (BMI ≥ 25) and non-obese patients (BMI < 25) (OR = 1.01; 95% CI 0.69-1.47; P = 0.97). In subgroup analyses, obesity was associated with higher risk among the Americans and advanced-stage patients. The grouping analysis based on BMI and the rankogram values revealed that the '35 ≤ BMI' group had the highest risk of lymph node metastasis. CONCLUSION: Although there were no significant differences in lymph node metastasis between obese and non-obese cervical cancer patients in overall analysis, patients with BMI ≥ 35 were at significantly higher risk of lymph node metastasis.

Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models.

Importance: Large language models (LLMs) may facilitate the labor-intensive process of systematic reviews. However, the exact methods and reliability remain uncertain. Objective: To explore the feasibility and reliability of using LLMs to assess risk of bias (ROB) in randomized clinical trials (RCTs). Design, Setting, and Participants: A survey study was conducted between August 10, 2023, and October 30, 2023. Thirty RCTs were selected from published systematic reviews. Main Outcomes and Measures: A structured prompt was developed to guide ChatGPT (LLM 1) and Claude (LLM 2) in assessing the ROB in these RCTs using a modified version of the Cochrane ROB tool developed by the CLARITY group at McMaster University. Each RCT was assessed twice by both models, and the results were documented. The results were compared with an assessment by 3 experts, which was considered a criterion standard. Correct assessment rates, sensitivity, specificity, and F1 scores were calculated to reflect accuracy, both overall and for each domain of the Cochrane ROB tool; consistent assessment rates and Cohen κ were calculated to gauge consistency; and assessment time was calculated to measure efficiency. Performance between the 2 models was compared using risk differences. Results: Both models demonstrated high correct assessment rates. LLM 1 reached a mean correct assessment rate of 84.5% (95% CI, 81.5%-87.3%), and LLM 2 reached a significantly higher rate of 89.5% (95% CI, 87.0%-91.8%). The risk difference between the 2 models was 0.05 (95% CI, 0.01-0.09). In most domains, domain-specific correct rates were around 80% to 90%; however, sensitivity below 0.80 was observed in domains 1 (random sequence generation), 2 (allocation concealment), and 6 (other concerns). Domains 4 (missing outcome data), 5 (selective outcome reporting), and 6 had F1 scores below 0.50. The consistent rates between the 2 assessments were 84.0% for LLM 1 and 87.3% for LLM 2. LLM 1's κ exceeded 0.80 in 7 and LLM 2's in 8 domains. The mean (SD) time needed for assessment was 77 (16) seconds for LLM 1 and 53 (12) seconds for LLM 2. Conclusions: In this survey study of applying LLMs for ROB assessment, LLM 1 and LLM 2 demonstrated substantial accuracy and consistency in evaluating RCTs, suggesting their potential as supportive tools in systematic review processes.

Clinical features and treatment outcomes of liver involvement in paediatric Langerhans cell histiocytosis.

Langerhans cell histiocytosis (LCH) is the most common histiocytic disorder in children, and liver involvement in LCH is rare. This retrospective study reported the clinical features and prognosis of patients with hepatic LCH. Liver involvement was defined by histopathological findings, liver dysfunction or abnormalities, or ultrasound imaging. A total of 130 patients (14.5%) with hepatic LCH out of 899 in the LCH population were enrolled. Patients with liver involvement had greater frequencies of skin, lung, hearing system, and haematologic system involvement, and hemophagocytic lymphohistiocytosis (P<0.001, 0.001, 0.002, 0.009, and <0.001, respectively). Overall survival and progression-free survival were lower in LCH patients with liver involvement than in those without liver involvement (P<0.001 and <0.001). In patients with liver involvement, the overall survival (OS) and progression-free survival (PFS) rates were lower in patients with cholangitis than in those without cholangitis (P<0.020 and 0.030). For the treatment response, the response rate of hepatic LCH patients to initial first-line therapy (n=89) was 22.5%. However, there was no significant difference in the response rate or recurrence rate between patients who shifted from first-line treatment to second-line treatment (n=29) or to targeted therapy (n=13) (P=0.453 and 1.000). The response rate of hepatic LCH patients who received initial second-line therapy (n=13) was 38.5%. Two of these patients subsequently experienced bone recurrence. The response rate of hepatic LCH patients who received initial targeted therapy (n=16) was 75.0%. Three patients subsequently experienced recurrence, including 2 in the bone and 1 in the liver and skin. A total of 39.3% of patients who received second-line treatment had severe myelosuppression (grade III-IV), and 50.8% had varying degrees of gastrointestinal events, whereas there was no severe toxicity in patients who received first-line treatment and targeted therapy. Four patients underwent liver transplantation because of liver cirrhosis. The patients' liver disease improved within a follow-up period of 18-79 months. This study demonstrated that LCH with liver involvement, especially cholangitis, indicates a poor prognosis. Targeted therapy provides a good treatment response and less toxicity. However, it may relapse after withdrawal. Liver transplantation is still a reliable salvage option for patients with end-stage liver disease.

Mitochondrial-Targeted Copper Delivery for Cuproptosis-Based Synergistic Cancer Therapy.

Cuproptosis is dependent on mitochondrial respiration modulation by targeting lipoylated tricarboxylic acid cycle (TCA) cycle proteins, showing great potential in cancer treatment. However, the specific release of copper ions at mitochondrial is highly needed and still a major challenge to trigger cellular cuproptosis. Herein, a metal-organic framework-based nanoplatform (ZCProP) is designed for mitochondrial-targeted and ATP/pH-responsive Cu2+ and prodigiosin release. The released Cu2+ promotes aggregation of lipoylated protein and loss of Fe-S cluster protein, resulting in cell cuproptosis. In the meanwhile, Cu2+ can concert with prodigiosin to induce mitochondrial dysfunction and DNA damage and enhance cell cuproptosis. Furthermore, this nanoplatform has an ability to deplete glutathione, which not only further promotes cuproptosis but also triggers cell ferroptosis by the suppression of glutathione peroxidase 4, an anti-ferroptosis protein. Collectively, the designed ZCProP nanoplatform can responsively release cargos at mitochondrial and realize a conspicuous therapeutic efficacy through a cuproptosis-mediated concerted effect. Along with its excellent biocompatibility, this nanoplatform may provide a novel therapeutic modality paradigm to boost cancer therapeutic strategies based on cuproptosis.

Risk of kidney and liver diseases after COVID-19 infection: A systematic review and meta-analysis.

COVID-19 is not only associated with substantial acute liver and kidney injuries, but also with an elevated risk of post-acute sequelae involving the kidney and liver system. We aimed to investigate whether COVID-19 exposure increases the long-term risk of kidney and liver disease, and what are the magnitudes of these associations. We searched PubMed, Embase, Web of Science, ClinicalTrials.gov, and the Living Overview of the Evidence COVID-19 Repository for cohort studies estimating the association between COVID-19 and kidney and liver outcomes. Random-effects meta-analyses were performed to combine the results of the included studies. We assessed the certainty of the evidence using the Grading of Recommendations Assessment, Development and Evaluation approach. Fifteen cohort studies with more than 32 million participants were included in the systematic review COVID-19 was associated with a 35% greater risk of kidney diseases (10 more per 1000 persons; low certainty evidence) and 54% greater risk of liver disease (3 more per 1000 persons; low certainty evidence). The absolute increases due to COVID-19 for acute kidney injury, chronic kidney disease, and liver test abnormality were 3, 8, and 3 per 1000 persons, respectively. Subgroup analyses found no differences between different type of kidney and liver diseases. The findings provide further evidence for the association between COVID-19 and incident kidney and liver conditions. The absolute magnitude of the effect of COVID-19 on kidney and liver outcomes was, however, relatively small.

Association of previous stillbirth with subsequent perinatal outcomes: a systematic review and meta-analysis of cohort studies.

OBJECTIVE: We conducted a systematic review and meta-analysis to examine the relationship between stillbirth and various perinatal outcomes in subsequent pregnancy. DATA SOURCES: PubMed, the Cochrane Library, Embase, Web of Science, and CNKI databases were searched up to July 2023. STUDY ELIGIBILITY CRITERIA: Cohort studies that reported the association between stillbirth and perinatal outcomes in subsequent pregnancies were included. METHODS: We conducted this systematic review and meta-analysis in accordance with the PRISMA guidelines. Statistical analysis was performed using R and Stata software. We used random-effects models to pool each outcome of interest. We performed a meta-regression analysis to explore the potential heterogeneity. The certainty (quality) of evidence assessment was performed using the GRADE approach. RESULTS: Nineteen cohort studies were included, involving 4,855,153 participants. From these studies, we identified 28,322 individuals with previous stillbirths who met the eligibility criteria. After adjusting for confounders, evidence of low to moderate certainty indicated that compared with women with previous live births, women with previous stillbirths had higher risks of recurrent stillbirth (odds ratio, 2.68; 95% confidence interval, 2.01-3.56), preterm birth (odds ratio, 3.15; 95% confidence interval, 2.07-4.80), neonatal death (odds ratio, 4.24; 95% confidence interval, 2.65-6.79), small for gestational age/intrauterine growth restriction (odds ratio, 1.3; 95% confidence interval, 1.0-1.8), low birthweight (odds ratio, 3.32; 95% confidence interval, 1.46-7.52), placental abruption (odds ratio, 3.01; 95% confidence interval, 1.01-8.98), instrumental delivery (odds ratio, 2.29; 95% confidence interval, 1.68-3.11), labor induction (odds ratio, 4.09; 95% confidence interval, 1.88-8.88), cesarean delivery (odds ratio, 2.38; 95% confidence interval, 1.20-4.73), elective cesarean delivery (odds ratio, 2.42; 95% confidence interval, 1.82-3.23), and emergency cesarean delivery (odds ratio, 2.35; 95% confidence interval, 1.81-3.06) in subsequent pregnancies, but had a lower rate of spontaneous labor (odds ratio, 0.22; 95% confidence interval, 0.13-0.36). However, there was no association between previous stillbirth and preeclampsia (odds ratio, 1.72; 95% confidence interval, 0.63-4.70) in subsequent pregnancies. CONCLUSION: Our systematic review and meta-analysis provide a more comprehensive understanding of adverse pregnancy outcomes associated with previous stillbirth. These findings could be used to inform counseling for couples who are considering pregnancy after a previous stillbirth.

DDHD2, whose mutations cause spastic paraplegia type 54, enhances lipophagy via engaging ATG8 family proteins.

Hereditary spastic paraplegia (HSP) is a group of inherited neurodegenerative disorders characterized by progressive lower limb spasticity and weakness. One subtype of HSP, known as SPG54, is caused by biallelic mutations in the DDHD2 gene. The primary pathological feature observed in patients with SPG54 is the massive accumulation of lipid droplets (LDs) in the brain. However, the precise mechanisms and roles of DDHD2 in regulating lipid homeostasis are not yet fully understood. Through Affinity Purification-Mass Spectroscopy (AP-MS) analysis, we identify that DDHD2 interacts with multiple members of the ATG8 family proteins (LC3, GABARAPs), which play crucial roles in lipophagy. Mutational analysis reveals the presence of two authentic LIR motifs in DDHD2 protein that are essential for its binding to LC3/GABARAPs. We show that DDHD2 deficiency leads to LD accumulation, while enhanced DDHD2 expression reduces LD formation. The LC3/GABARAP-binding capacity of DDHD2 and the canonical autophagy pathway both contribute to its LD-eliminating activity. Moreover, DDHD2 enhances the colocalization between LC3B and LDs to promote lipophagy. LD·ATTEC, a small molecule that tethers LC3 to LDs to enhance their autophagic clearance, effectively counteracts DDHD2 deficiency-induced LD accumulation. These findings provide valuable insights into the regulatory roles of DDHD2 in LD catabolism and offer a potential therapeutic approach for treating SPG54 patients.

ITGA7 loss drives the differentiation of adipose-derived mesenchymal stem cells to cancer-associated fibroblasts.

Cancer-associated fibroblasts (CAFs) represent a major cellular component of the tumor (pre-)metastatic niche and play an essential role in omental dissemination of ovarian cancer. The omentum is rich in adipose, and adipose-derived mesenchymal stem cells (ADSCs) have been identified as a source of CAFs. However, the molecular events driving the phenotype shift of ADSCs remain largely unexplored. In this research, we focus on integrins, transmembrane receptors that have been widely involved in cellular plasticity. We found that integrin α7 (ITGA7) was the only member of the integrin family that positively correlated with both overall survival and progression-free survival in ovarian cancer through GEPIA2. The immunohistochemistry signal of ITGA7 was apparent in the tumor stroma, and a lower omental ITGA7 level was associated with metastasis. Primary ADSCs were isolated from the omentum of patients with ovarian cancer and identified by cellular morphology, biomarkers, and multilineage differentiation. The conditional medium of ovarian cancer cells induced ITGA7 expression decrease and phenotypic changes in ADSCs. Downregulation of ITGA7 in primary omental ADSCs led to decrease in stemness properties and emerge of characteristic morphology and biomarkers of CAFs. Moreover, the conditioned medium of ADSCs with ITGA7 depletion exhibited enhanced abilities to improve the migration and invasion of ovarian cancer cells in vitro. Overall, these findings indicate that loss of ITGA7 may induce the differentiation of ADSCs to CAFs that contribute to a tumor-supportive niche.

Feasibility of a clinical-radiomics combined model to predict the occurrence of stroke-associated pneumonia.

PURPOSE: To explore the predictive value of radiomics in predicting stroke-associated pneumonia (SAP) in acute ischemic stroke (AIS) patients and construct a prediction model based on clinical features and DWI-MRI radiomics features. METHODS: Univariate and multivariate logistic regression analyses were used to identify the independent clinical predictors for SAP. Pearson correlation analysis and the least absolute shrinkage and selection operator with ten-fold cross-validation were used to calculate the radiomics score for each feature and identify the predictive radiomics features for SAP. Multivariate logistic regression was used to combine the predictive radiomics features with the independent clinical predictors. The prediction performance of the SAP models was evaluated using receiver operating characteristics (ROC), calibration curves, decision curve analysis, and subgroup analyses. RESULTS: Triglycerides, the neutrophil-to-lymphocyte ratio, dysphagia, the National Institutes of Health Stroke Scale (NIHSS) score, and internal carotid artery stenosis were identified as clinically independent risk factors for SAP. The radiomics scores in patients with SAP were generally higher than in patients without SAP (P < 0. 05). There was a linear positive correlation between radiomics scores and NIHSS scores, as well as between radiomics scores and infarct volume. Infarct volume showed moderate performance in predicting the occurrence of SAP, with an AUC of 0.635. When compared with the other models, the combined prediction model achieved the best area under the ROC (AUC) in both training (AUC = 0.859, 95% CI 0.759-0.936) and validation (AUC = 0.830, 95% CI 0.758-0.896) cohorts (P < 0.05). The calibration curves and decision curve analysis further confirmed the clinical value of the nomogram. Subgroup analysis showed that this nomogram had potential generalization ability. CONCLUSION: The addition of the radiomics features to the clinical model improved the prediction of SAP in AIS patients, which verified its feasibility.