OBJECTIVE To provide valuable insights for the adjustment of anti-infectious regimens， identification of adverse reactions， and individualized pharmaceutical care in patients with critically severe scrub typhus. METHODS Clinical pharmacists actively participated in the pharmaceutical care process for a patient with severe scrub typhus leading to mixed shock undergoing continuous renal replacement therapy and extracorporeal membrane oxygenation. Initially， the patient received meropenem （1 g， q12 h， ivdrip）， in combination with doxycycline （0.1 g， q12 h， po）， which was later switched to meropenem （1 g， q8 h， ivdrip） along with omacycline （100 mg， qd， ivdrip） due to impaired gastrointestinal function. However， as the patient’s condition progressively deteriorated and the infection became uncontrolled， the clinical pharmacists recommended that the clinicians adjust the anti-infective regimen to meropenem （2 g， q8 h， ivdrip） combined with tigecycline （100 mg for first dose； 50 mg， q12 h for maintenance； ivdrip）. The clinicians followed the advice of the clinical pharmacists. After treatment， the patient’s symptoms exhibited significant improvement， accompanied by a notable decrease in inflammatory markers， indicating that the infection had been successfully controlled. However， due to continuously increasing bilirubin levels， in order to reduce the risk of drug-induced liver injury， the clinicians changed tigecycline to azithromycin （0.5 g， qd， ivdrip） following the recommendation of the clinical pharmacists. RESULTS Ultimately， metagenomic next-generation sequencing of the bronchoalveolar lavage fluid and blood specimens indicated that Orientia tsutsugamushi had been completely eradicated in the patient. CONCLUSIONS Tigecycline may be a viable therapeutic choice for patients with severe scrub typhus. In the context of critically ill patients with scrub typhus， combining tigecycline with azithromycin might potentially enhance the efficacy in eliminating Orientia tsutsugamushi.

Objective To develop a highly sensitive and rapid nucleic acid detection method for the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Methods We designed,developed,and manufactured an integrated disposable device for SARS-CoV-2 nucleic acid extraction and detection.The precision of the liquid transfer and temperature control was tested.A comparison between our device and a commercial kit for SARS-Cov-2 nucleic acid extraction was performed using real-time fluorescence reverse transcription polymerase chain reaction(RT-PCR).The entire process,from SARS-CoV-2 nucleic acid extraction to amplification,was evaluated. Results The precision of the syringe transfer volume was 19.2±1.9 μL(set value was 20),32.2±1.6(set value was 30),and 57.2±3.5(set value was 60).Temperature control in the amplification tube was measured at 60.0±0.0 ℃(set value was 60)and 95.1±0.2 ℃(set value was 95)respectively.SARS-Cov-2 nucleic acid extraction yield through the device was 7.10×106 copies/mL,while a commercial kit yielded 2.98×106 copies/mL.The mean time to complete the entire assay,from SARS-CoV-2 nucleic acid extraction to amplification detection,was 36 min and 45 s.The detection limit for SARS-CoV-2 nucleic acid was 250 copies/mL. Conclusion The integrated disposable devices may be used for SARS-CoV-2 Point-of-Care test(POCT).

Objective:This study aimed to develop a rapid and accurate integrated nucleic acid detection method tailored for the influenza virus.Methods:We designed primers and probes targeting the predominant influenza virus strains circulating in China in recent years. These were integrated with extraction and amplification reagents and a point of care testing (POCT) system to facilitate a seamless and expedited process involving nucleic acid extraction, reaction system preparation, amplification, and result interpretation for the influenza virus. The specificity of the POCT system was evaluated using cultured influenza viruses, while its cross-reactivity was assessed against common respiratory pathogens, including adenovirus and respiratory syncytial virus.Results:Our study successfully developed duplex amplification primers and probes for both influenza A and B viruses, achieving a detection threshold as low as 500 copies/ml. Specificity tests confirmed that the detection reagents did not show cross-reactivity with other respiratory pathogens such as adenovirus and respiratory syncytial virus. The POCT-based rapid nucleic acid detection method for influenza virus was established, it is capable of completing the entire process from nucleic acid extraction to amplification and result interpretation within 50 minutes, while enabling real-time data upload.Conclusions:The POCT-based rapid influenza virus detection kit developed in this study offers a " sample in, results out" convenience, making it suitable for rapid influenza virus detection in primary care settings. This innovation has significant potential for clinical application.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: Accumulating evidence has shown that aberrant alternative splicing events are closely associated with the onset and development of cancer. However, whether genetic variants-associated alternative splicing is linked to risk of endometrial cancer remains largely uncertain. Methods: We identified single nucleotide polymorphisms (SNPs) locates in the splicing number trait locus (sQTL) of endometrial cancer using the CancerSplicing QTL database. In parallel with bioinformatics analysis, we conducted a case-control study comprising 2,000 cases and 2,013 controls to assess the association between identified SNP which possesses mRNA splicing function and endometrial cancer susceptibility. Furthermore, we used the Kaplan-Meier Plotter, The Human Protein Atlas, SPNR, and Spliceman2 databases for sQTL and differential gene expression analyses to identify the genetic variant which most potentially influence the risk of endometrial cancer through alternative splicing to reveal the potential mechanism by which candidate SNPs regulate the risk of endometrial cancer. Results: The results indicated that SNP rs7128029 AConclusion These findings suggest that SNP rs7128029-mediated alternative splicing events in PSMD13 are associated with endometrial cancer risk and may be a potential early screening biomarker for endometrial cancer-susceptible populations.

Objective    To investigate the diagnostic value and safety of electromagnetic navigation bronchoscopy combined with radial endobronchial ultrasound in peripheral pulmonary nodules. Methods    The clinical imaging, surgical and pathological data of 60 patients with 76 peripheral pulmonary nodules who underwent electromagnetic navigation bronchoscopy combined with radial endobronchial ultrasound guided biopsy in the Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School from June 2020 to June 2021 were retrospectively analyzed. The diagnosis rate and complications were analyzed and summarized. The 76 pulmonary nodules were divided into a small pulmonary nodules group (10 nodules, diameter≤1 cm) and a pulmonary nodules group (1 cm