(+)-Borneol, the main component of "Natural Borneol" in the Chinese Pharmacopoeia, is a high-end spice and precious medicine. Plant extraction cannot meet the increasing demand for (+)-borneol, while microbial biosynthesis offers a sustainable supply route. However, its production was extremely low compared with other monoterpenes, even with extensively optimizing the mevalonate pathway. We found that the key challenge is the complex and unusual dephosphorylation reaction of bornyl diphosphate (BPP), which suffers the side-reaction and the competition from the cellular dephosphorylation process, especially lipid metabolism, thus limiting (+)-borneol synthesis. Here, we systematically optimized the dephosphorylation process by identifying, characterizing phosphatases, and balancing cellular dephosphorylation metabolism. For the first time, we identified two endogenous phosphatases and seven heterologous phosphatases, which significantly increased (+)-borneol production by up to 152%. By engineering BPP dephosphorylation and optimizing the MVA pathway, the production of (+)-borneol was increased by 33.8-fold, which enabled the production of 753 mg/L under fed-batch fermentation in shake flasks, so far the highest reported in the literature. This study showed that rewiring dephosphorylation metabolism was essential for high-level production of (+)-borneol in Saccharomyces cerevisiae, and balancing cellular dephosphorylation is also helpful for efficient biosynthesis of other terpenoids since all whose biosynthesis involves the dephosphorylation procedure.

Objective To analyze the cognitive function and sleep quality of the elderly in Shanghai community, and explore the related influencing factors. Methods A stratified cluster random sampling method was used to select 8 community health centers in Shanghai for a questionnaire survey, including 3 677 elderly individuals who completed the “Comprehensive Health Status Survey of Elderly Residents in Shanghai” from September 2023 to November 2023. Basic information of the elderly was collected, including age, gender, education level, smoking, drinking, mahjong playing behavior, and exercise habits. The Pittsburgh sleep quality index (PSQI) was used to assess the sleep quality of the elderly, subjective cognitive decline (SCD) self-assessment questionnaire and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function, while the Hamilton Anxiety Scale (HAMA) and patient health questionnaire-9 (PHQ-9) were used to assess anxiety and depression levels, and the mini nutritional assessment (MNA) was used to evaluate nutritional status. According to the MMSE scores, the elderly were divided into three groups: no cognitive impairment (MMSE ≥ 27), mild cognitive impairment (MMSE 21-26), and moderate to severe cognitive impairment (MMSE ≤ 20). The general data, lifestyle habits, and scale scores of the three groups were compared. Ordered logistic regression was used to analyze the influencing factors of sleep quality. Results There were statistically significant differences in age, gender, waist circumference, body mass index (BMI), education level, pet ownership, smoking, drinking, mahjong playing behavior, exercise habits, and scale scores among the three groups (P＜0.05). Logistic regression analysis showed that age, waist circumference, gender, drinking habits, mahjong playing behavior, and chronic comorbidities are influencing factors for the PSQI grading in the elderly (P＜0.05). The MMSE score (OR＝1.037, P＝0.001), SCD score (OR＝1.123, P＜0.001), HAMA score (OR＝1.183, P＜0.001), PHQ-9 score (OR＝1.249, P＜0.001) are positive influencing factors for PSQI grading, while the MNA score is a negative influencing factor (OR＝0.960, P＝0.037). Conclusions Advanced age, female gender, low education level, no pet ownership, no mahjong playing behavior, no exercise habits, and poor sleep quality are risk factors for cognitive impairment in the elderly. Advanced age, female gender, no mahjong playing behavior and poor nutritional status are influencing factors for poor sleep quality in the elderly, and severe comorbidities, anxiety, depression, and subjective decline in cognitive function all affect sleep quality.

Objective:To construct a job competency evaluation index system for clinical nursing teachers, and to provide a basis for selecting and training excellent clinical nursing teachers.Methods:The first draft of the indicators was developed through literature analysis and semi-structured interviews. Convenience sampling was used to select 16 experts for Delphi expert consultation from October to November 2024. The weights of the indicators were determined using the precedence chart method.Results:In the two rounds of consultation, the positive coefficient of the experts was 100.00% (16/16) and the authority coefficient was 0.832. The total Kendall's harmony coefficient for the indicators after the second round of consultation was 0.226 ( P<0.01). The final constructed job competency evaluation index system for clinical nursing teachers included 5 first-level indicators (professionalism, professional knowledge and skills, teaching ability, research and innovation ability, and nursing informatization ability), 15 second-level indicators, and 40 third indicators. Conclusions:The construction of the job competency evaluation index system for clinical nursing teachers is scientific and credible, which provides a basis for selecting and training excellent clinical nursing teachers.

Objective:To construct a job competency evaluation index system for clinical nursing teachers, and to provide a basis for selecting and training excellent clinical nursing teachers.Methods:The first draft of the indicators was developed through literature analysis and semi-structured interviews. Convenience sampling was used to select 16 experts for Delphi expert consultation from October to November 2024. The weights of the indicators were determined using the precedence chart method.Results:In the two rounds of consultation, the positive coefficient of the experts was 100.00% (16/16) and the authority coefficient was 0.832. The total Kendall's harmony coefficient for the indicators after the second round of consultation was 0.226 ( P<0.01). The final constructed job competency evaluation index system for clinical nursing teachers included 5 first-level indicators (professionalism, professional knowledge and skills, teaching ability, research and innovation ability, and nursing informatization ability), 15 second-level indicators, and 40 third indicators. Conclusions:The construction of the job competency evaluation index system for clinical nursing teachers is scientific and credible, which provides a basis for selecting and training excellent clinical nursing teachers.

Parkinson disease （PD） is a common neurodegenerative disease. Cognitive dysfunction seriously affects the quality of life of patients with PD， increasing their family burden. Currently， there are no clinically identified biomarkers to assist with the early diagnosis of cognitive impairment in patients with PD. Event-related potential P300 is a sensitive electrophysiological indicator to detect early insidious cognitive decline in PD. This article reviews the diagnostic value and clinical application of P300 for cognitive impairment in patients with PD.

With the rapid development of instrument technology , Raman spectrometer has become one of the fastest growing type of instrument in the molecular spectroscopy . In recent years , Raman spectrometer gradually emerging in the application in the domain of biology and medicine , Raman spectroscopy technology appears new development constantly in the rapid identification and classification of microorganisms because of its rapid , efficient, sensitive, noninvasive, repeatability and other unique advantages.This article describes its application in the rapid detection of bacteria , viruses and other microorganisms , and also prospects for the application of Raman spectroscopy in future clinical work .

As a novel,label-free and non-invasive detection modality,terahertz(THz,1THz=1012 Hz)spectroscopy has been widely used in various areas.For instance,in the biomedical field,it has great potentials to provide real-time scanning of living cells and tissues due to its unique advantages.Significant achievements have been reached in cell detection, related to bacterial identification, cancer cell characterization and blood cell detection.In tissue detection, the THz spectroscopy can be used to provide real-time scanning of living tissues and fast diagnosis.Furthermore, a single system which integrated THz spectroscopy and THz imaging would be able to collect information more sensitive and comprehensive. However,the clinical adaption of THz spectroscopy is still a controversial issue attributed to some intrinsic limitations and technical bottlenecks.In this article, both the application of THz spectroscopy in cell and tissue detection and the existing challenges and strategies to accelerate clinical applications were reviewed comprehensively.