Publications by authors named "Jinghang Ma"

Sarcopenia, characterized by an age-related progressive loss of muscle mass and strength, presents significant health concerns. Recommending dietary nutrition emerges as a viable strategy to counteract muscle deterioration. Vitamin A, indispensable throughout the human life cycle and unattainable through endogenous synthesis, necessitates intake via diet.

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Background: The correlation between gut microbiota and infections has garnered significant attention in previous studies; nevertheless, our understanding of the causal relationships and mechanisms between specific microbial species and infections remains limited.

Methods: This study aimed to employ Mendelian randomization (MR) using single-nucleotide polymorphisms (SNPs) and genome-wide association study (GWAS) data of European ancestry to explore the genetic-level relationships between distinct types of gut microbiota and susceptibility to infections. Our analysis encompassed three prevalent infections: intestinal infections, pneumonia, and urinary tract infections, while concurrently examining various types of gut microbiota.

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To address the issue posed by drug-resistant bacteria and inspired by natural antimicrobial enzymes, we report the atomically doped copper on guanine-derived nanosheets (G-Cu) that possess the integrated catalytic cascade property of glucose oxidase and peroxidase, yielding free radicals to eliminate drug-resistant bacteria upon light irradiation. Density functional theory calculations demonstrate that copper could notably promote oxygen activation and HO splitting on the G-Cu complexes. Further all-atom simulation and experimental data indicate that the lysis of bacteria is mainly induced by cell membrane damage and the elevation of intracellular reactive oxygen species.

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Background: computer-aided diagnosis of medical images is becoming more significant in intelligent medicine. Colposcopy-guided biopsy with pathological diagnosis is the gold standard in diagnosing CIN and invasive cervical cancer. However, it struggles with its low sensitivity in differentiating cancer/HSIL from LSIL/normal, particularly in areas with a lack of skilled colposcopists and access to adequate medical resources.

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Objective: This study examined the predictive utility of DNA methylation for cervical cancer recurrence.

Methods: DNA methylation and RNA expression data for patients with cervical cancer were downloaded from The Cancer Genome Atlas. Differentially methylated genes (DMGs) and differentially expressed genes were screened and extracted correlation analysis.

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Objective: To explore an effective algorithm based on artificial neural network to pick correctly the minority of pregnant women with SLE suffering fetal loss outcomes from the majority with live birth and train a well behaved model as a clinical decision assistant.

Methods: We integrated the thoughts of comparative and focused study into the artificial neural network and presented an effective algorithm aiming at imbalanced learning in small dataset.

Results: We collected 469 non-trivial pregnant patients with SLE, where 420 had live-birth outcomes and the other 49 patients ended in fetal loss.

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Objective: To develop a predictive model for fetal loss in women with systemic lupus erythematosus (SLE).

Design: A retrospective cohort study.

Setting: Data were collected in a tertiary medical centre, located in Shanghai, China, from September 2011 to May 2017.

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Background: Although it is well established that systemic lupus erythematosus (SLE) negatively affects pregnancy outcomes, there is insufficient evidence on the effect of lupus nephritis (LN) on antenatal management and pregnancy outcomes. We performed a systematic review and meta-analysis to determine the association of LN with management and pregnancy outcomes in SLE patients.

Methods: Embase, Medline, Cochrane, and ClinicalTrials.

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Objective: To completely and quantifiably determine the effect of systemic lupus erythematosus (SLE) on pregnancy outcomes in a Chinese cohort.

Design: A retrospective cohort study.

Setting: Data were collected at a tertiary medical centre located in Shanghai, China, from September 2011 to May 2017.

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