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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  Innovation in Aging Vol. 4, No. Supplement_1 ( 2020-12-16), p. 177-177
    In: Innovation in Aging, Oxford University Press (OUP), Vol. 4, No. Supplement_1 ( 2020-12-16), p. 177-177
    Abstract: Background: Phase angle (PhA) has been suggested as an indicator of cellular death and nutritional status. We aimed to evaluate the performance of phase angle as a sarcopenia marker among 50 years older and determine the optimal cut-off values. Materials and Methods: A cross section of 4500 with ≥50 years were assessed in terms of sarcopenia with bioelectrical indices. Phase angle can be determined through bioelectrical impedance analysis (In Body 770). Muscle strength and physical function were measured using hand grip and 4 m walking speed. Significant determinants of sarcopenia were further analyzed with multivariate logistic regression analysis. Results: 869 patients (19.31%) were diagnosed with sarcopenia. The average PhA was 5.03 ± 0.64° (Male: 5.31 ± 0.66°; Female: 4.87 ± 0.57°). After adjusting age, gender, race, occupation, BMI, marital status, smoking, drinking, exercise, chronic disease and ADL, phase angle was still independent associated factors with sarcopenia: phase angle (OR=0.25, 95% CI: 0.203-0.308, P & lt; 0.001). Receiver operating characteristic analysis revealed that the optimal phase angle cutoff value to detect sarcopenia was ≤4.9º (AUC=0.768). Conclusions: Bioelectrical phase angle can be an useful bioelectrical marker to identify sarcopenia.
    Type of Medium: Online Resource
    ISSN: 2399-5300
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
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  • 2
    In: Advanced Functional Materials, Wiley
    Abstract: Ferromagnetic materials with a strong spin‐orbit coupling (SOC) have attracted much attention in recent years because of their exotic properties and potential applications in energy‐efficient spintronics. However, such materials are scarce in nature. Here, a proximity‐induced paramagnetic to ferromagnetic transition for the heavy transition metal oxide CaRuO 3 in (001)‐(LaMnO 3 /CaRuO 3 ) superlattices is reported. Anomalous Hall effect is observed in the temperature range up to 180 K. Maximal anomalous Hall conductivity and anomalous Hall angle are as large as ∼15 Ω −1 cm −1 and ∼0.93%, respectively, by one to two orders of magnitude larger than those of the typical 3d ferromagnetic oxides such as La 0.67 Sr 0.33 MnO 3 . Density functional theory calculations indicate the existence of avoid band crossings in the electronic band structure of the ferromagnetic CRO layer, which enhances Berry curvature thus strong anomalous Hall effects. Further evidences from polarized neutron reflectometry show that the CaRuO 3 layers are in a fully ferromagnetic state (∼0.8 μ B /Ru), in sharp contrast to the proximity‐induced canted antiferromagnetic state in 5d oxides SrIrO 3 and CaIrO 3 (∼0.1 μ B /Ir). More than that, the magnetic anisotropy of the (001)‐(LaMnO 3 /CaRuO 3 ) superlattices is eightfold symmetric, showing potential applications in the technology of multistate data storage.
    Type of Medium: Online Resource
    ISSN: 1616-301X , 1616-3028
    Language: English
    Publisher: Wiley
    Publication Date: 2023
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  • 3
    In: BMC Medicine, Springer Science and Business Media LLC, Vol. 18, No. 1 ( 2020-12)
    Abstract: The coronavirus disease 2019 (COVID-19) has been a pandemic worldwide. Old age and underlying illnesses are associated with poor prognosis among COVID-19 patients. However, whether frailty, a common geriatric syndrome of reduced reserve to stressors, is associated with poor prognosis among older COVID-19 patients is unknown. The aim of our study is to investigate the association between frailty and severe disease among COVID-19 patients aged ≥ 60 years. Methods A prospective cohort study of 114 hospitalized older patients (≥ 60 years) with confirmed COVID-19 pneumonia was conducted between 7 February 2020 and 6 April 2020. Epidemiological, demographic, clinical, laboratory, and outcome data on admission were extracted from electronic medical records. All patients were assessed for frailty on admission using the FRAIL scale, in which five components are included: fatigue, resistance, ambulation, illnesses, and loss of weight. The outcome was the development of the severe disease within 60 days. We used the Cox proportional hazards models to identify the unadjusted and adjusted associations between frailty and severe illness. The significant variables in univariable analysis were included in the adjusted model. Results Of 114 patients, (median age, 67 years; interquartile range = 64–75 years; 57 [50%] men), 39 (34.2%), 39 (34.2%), and 36 (31.6%) were non-frail, pre-frail, and frail, respectively. During the 60 days of follow-up, 43 severe diseases occurred including eight deaths. Four of 39 (10.3%) non-frail patients, 15 of 39 (38.5%) pre-frail patients, and 24 of 36 (66.7%) frail patients progressed to severe disease. After adjustment of age, sex, body mass index, haemoglobin, white blood count, lymphocyte count, albumin, CD8+ count, D-dimer, and C-reactive protein, frailty (HR = 7.47, 95% CI 1.73–32.34, P  = 0.007) and pre-frailty (HR = 5.01, 95% CI 1.16–21.61, P  = 0.03) were associated with a higher hazard of severe disease than the non-frail. Conclusions Frailty, assessed by the FRAIL scale, was associated with a higher risk of developing severe disease among older COVID-19 patients. Our findings suggested that the use of a clinician friendly assessment of frailty could help in early warning of older patients at high-risk with severe COVID-19 pneumonia.
    Type of Medium: Online Resource
    ISSN: 1741-7015
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  BMC Geriatrics Vol. 22, No. 1 ( 2022-12)
    In: BMC Geriatrics, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-12)
    Abstract: It remains unclear whether stress hyperglycemia is associated with delirium. We performed this cohort study to determine the association between stress hyperglycemia and delirium. Methods We consecutively enrolled patients aged ≥70 years who were admitted to the Geriatric Department of West China Hospital between March 2016 and July 2017. Stress hyperglycemia ratio (SHR) was calculated as fasting blood glucose divided by estimated average glucose derived from glycosylated hemoglobin (HbA1c) and was classified into three tertiles. Delirium was screened within 24 h of admission and three times daily thereafter, using the confusion assessment method. The Cox proportional hazards models were used to assess the association of SHR with delirium. Results Among 487 included patients (mean age 83.0 years, 72.0% male), 50 (10.3%) patients experienced delirium during hospitalization. Compared to the second tertile, both the lowest and the highest SHR tertiles were independently associated with delirium (hazard ratio [HR] 3.71, 95% confidence interval [CI] 1.45-9.51; and HR 2.97, 95% CI 1.29-6.81, respectively). Similar results were found after further adjusting for statin comedication. Multiple-adjusted restricted cubic splines revealed a nonlinear relationship between SHR and delirium ( P nonlinearity =0.04). Adding SHR to conventional risk factors improved the risk prediction of delirium (net reclassification index 0.39, P =0.01; integrated discrimination improvement 0.07, P =0.03). Subgroup analyses indicated that the relationship between SHR and delirium was more apparent in patients with HbA1c 〈 6.5%, with significantly higher HR in the first (3.65, 95% CI 1.11-11.97) and third (3.13, 95% CI 1.13-8.72) SHR tertiles compared to the second tertile, while there was no significant association between SHR and delirium in those with HbA1c ≥6.5%. Conclusions Both lower and higher SHR were associated with increased risk of delirium but only in patients with HbA1c 〈 6.5%. Admission SHR may serve as a promising predictor of delirium, and incorporating this biomarker into prediction algorithms might have potential clinical utility in aiding delirium risk stratification, especially in those with HbA1c 〈 6.5%.
    Type of Medium: Online Resource
    ISSN: 1471-2318
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 5
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 377, No. 6604 ( 2022-07-22)
    Abstract: Rapid population growth, rising meat consumption, and the expanding use of crops for nonfood and nonfeed purposes increase the pressure on global food production. At the same time, the excessive use of nitrogen fertilizer to enhance agricultural production poses serious threats to both human health and the environment. To achieve the required yield increases and make agriculture more sustainable, intensified breeding and genetic engineering efforts are needed to obtain new crop varieties with higher photosynthetic capacity and improved nitrogen use efficiency (NUE). However, progress has been slow, largely due to the limited knowledge about regulator genes that potentially can coordinately optimize carbon assimilation and nitrogen utilization. RATIONALE Transcription factors control diverse biological processes by binding to the promoters (or intragenic regions) of target genes, and a number of transcription factors have been identified that control carbon fixation and nitrogen assimilation. A previous comparative analysis of maize and rice leaf transcriptomes and metabolomes revealed a set of 118 candidate transcription factors that may act as regulators of C 4 photosynthesis. We screened these transcription factors for their responsiveness to light and nitrogen supply in rice, and found that the gene Dehydration-Responsive Element-Binding Protein 1C ( OsDREB1C ), a member of the APETALA2/ethylene-responsive element binding factor (AP2/ERF) family, exhibits properties expected of a regulator that can simultaneously modulate photosynthesis and nitrogen utilization. RESULTS OsDREB1C expression is induced in rice by both light and low-nitrogen status. We generated overexpression lines ( OsDREB1C -OE) and knockout mutants ( OsDREB1C -KO) in rice, and conducted field trials in northern, southeastern, and southern China from 2018 to 2021. OsDREB1C -OE plants exhibited 41.3 to 68.3% higher yield than wild-type (WT) plants due to increased grain number per panicle, elevated grain weight, and enhanced harvest index. We observed that light-induced growth promotion of OsDREB1C -OE plants was accompanied by enhanced photosynthetic capacity and concomitant increases in photosynthetic assimilates. In addition, 15 N feeding experiments and field studies with different nitrogen fertilization regimes revealed that NUE was improved in OsDREB1C- OE plants due to elevated nitrogen uptake and transport activity. Moreover, OsDREB1C overexpression led to more efficient carbon and nitrogen allocation from source to sink, thus boosting grain yield, particularly under low-nitrogen conditions. Additionally, the OsDREB1C -OE plants flowered 13 to 19 days earlier and accumulated higher biomass at the heading stage than WT plants under long-day conditions. OsDREB1C is localized in the nucleus and the cytosol and functions as a transcriptional activator that directly binds to cis elements in the DNA, including dehydration-responsive element (DRE)/C repeat (CRT), GCC, and G boxes. Chromatin immunoprecipitation sequencing (ChIP-seq) and transcriptomic analyses identified a total of 9735 putative OsDREB1C-binding sites at the genome-wide level. We discovered that five genes targeted by OsDREB1C [ ribulose-l,5-bisphosphate carboxylase/oxygenase small subunit 3 ( OsRBCS3 ), nitrate reductase 2 ( OsNR2 ), nitrate transporter 2.4 ( OsNRT2.4 ), nitrate transporter 1.1B ( OsNRT1.1B ), and flowering locus T-like 1 ( OsFTL1 )] are closely associated with photosynthesis, nitrogen utilization, and flowering, the key traits altered by OsDREB1C overexpression. ChIP-quantitative polymerase chain reaction (ChIP-qPCR) and DNA affinity purification sequencing (DAP-seq) assays confirmed that OsDREB1C activates the transcription of these genes by binding to the promoter of OsRBCS3 and to exons of OsNR2 , OsNRT2.4 , OsNRT1.1B , and OsFTL1 . By showing that biomass and yield increases can also be achieved by OsDREB1C overexpression in wheat and Arabidopsis , we have demonstrated that the mode of action and the biological function of the transcription factor are evolutionarily conserved. CONCLUSION Overexpression of OsDREB1C not only boosts grain yields but also confers higher NUE and early flowering. Our work demonstrates that by genetically modulating the expression of a single transcriptional regulator gene, substantial yield increases can be achieved while the growth duration of the crop is shortened. The existing natural allelic variation in OsDREB1C , the highly conserved function of the transcription factor in seed plants, and the ease with which its expression can be altered by genetic engineering suggest that this gene could be the target of future crop improvement strategies toward more efficient and more sustainable food production. OsDREB1C coordinates yield and growth duration. OsDREB1C was identified by its responsiveness to light and low nitrogen in a screen of 118 transcription factors related to C 4 photosynthesis. Transcriptional activation of multiple downstream target genes by OsDREB1C confers enhanced photosynthesis, improved nitrogen utilization, and early flowering. Together, the activated genes cause substantial yield increases in rice and wheat.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
    RVK:
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2022
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    detail.hit.zdb_id: 2066996-3
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    SSG: 11
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  • 6
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Psychiatry Vol. 12 ( 2021-10-21)
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 12 ( 2021-10-21)
    Abstract: Objective: Delirium is common and highly distressing for the palliative care population. Until now, no study has systematically reviewed the risk factors of delirium in the palliative care population. Therefore, we performed a systematic review and meta-analysis to evaluate delirium risk factors among individuals receiving palliative care. Methods: We systematically searched PubMed, Medline, Embase, and Cochrane database to identify relevant observational studies from database inception to June 2021. The methodological quality of the eligible studies was assessed by the Newcastle Ottawa Scale. We estimated the pooled adjusted odds ratio (aOR) for individual risk factors using the inverse variance method. Results: Nine studies were included in the review (five prospective cohort studies, three retrospective case-control studies and one retrospective cross-section study). In pooled analyses, older age (aOR: 1.02, 95% CI: 1.01–1.04, I 2 = 37%), male sex (aOR:1.80, 95% CI: 1.37–2.36, I 2 = 7%), hypoxia (aOR: 0.87, 95% CI: 0.77–0.99, I 2 = 0%), dehydration (aOR: 3.22, 95%CI: 1.75–5.94, I 2 = 18%), cachexia (aOR:3.40, 95% CI: 1.69–6.85, I 2 = 0%), opioid use (aOR: 2.49, 95%CI: 1.39–4.44, I 2 = 0%), anticholinergic burden (aOR: 1.18, 95% CI: 1.07–1.30, I 2 = 9%) and Eastern Cooperative Oncology Group Performance Status (aOR: 2.54, 95% CI: 1.56–4.14, I 2 = 21%) were statistically significantly associated with delirium. Conclusion: The risk factors identified in our review can help to highlight the palliative care population at high risk of delirium. Appropriate strategies should be implemented to prevent delirium and improve the quality of palliative care services.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
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  • 7
    In: Chinese Medical Journal, Ovid Technologies (Wolters Kluwer Health), Vol. 136, No. 8 ( 2023-04-20), p. 967-973
    Abstract: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. Methods: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W & D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. Results: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W & D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W & D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W & D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). Conclusions: The W & D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. Trial Registration: Chictr.org, ChiCTR 1800018895.
    Type of Medium: Online Resource
    ISSN: 0366-6999 , 2542-5641
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
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    SSG: 6,25
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  • 8
    Online Resource
    Online Resource
    Frontiers Media SA ; 2023
    In:  Frontiers in Public Health Vol. 11 ( 2023-5-2)
    In: Frontiers in Public Health, Frontiers Media SA, Vol. 11 ( 2023-5-2)
    Abstract: While both vitamin D deficiency and cognitive impairment have individually been linked to a greater risk of all-cause mortality, the combined effects of these two different conditions have not previously been explored in this context. We aimed to investigate the combined impact of vitamin D concentration and cognitive impairment on all-cause mortality in older adults. Methods The analyzed data were collected from community-dwelling adults ≥65 years of age that were enrolled in the Chinese Longitudinal Healthy Longevity Survey ( n  = 1,673). The Mini-Mental Status Examination (MMSE) was used to assess cognitive function, while the plasma 25-hydroxyvitamin D [25(OH)D] test was used to assess vitamin D status. The associations between vitamin D concentration, cognitive function, and all-cause mortality were assessed with Cox proportional hazards models. We used restricted cubic splines to examine the dose–response relationship between vitamin D and the risk of all-cause mortality and used joint effect testing to explore interactions between vitamin D concentration and cognitive function. Results During a mean (SD) follow-up of 3.8 (1.9) years, 899 (53.7%) deaths occurred. A negative dose–response relationship was observed between 25(OH)D concentration and cognition impairment at baseline, as well as the odds of all-cause mortality during follow-up. Similarly, cognitive impairment was significantly related to all-cause mortality risk (HR 1.81, 95% CI: 1.54 to 2.12). The combined analyses showed positive associations, with the highest mortality risk observed in older adults with both low vitamin D and cognitive impairment (HR 3.04, 95% CI: 2.40 to 3.86). Moreover, the interaction between 25(OH)D concentration and cognitive function was found to be significant in relation to the risk of mortality ( p for interaction & lt;0.001). Conclusion Lower plasma 25(OH)D and cognitive impairment were, respectively, associated with increased all-cause mortality risks. The 25(OH)D concentration and cognitive impairment exhibited a combined additive effect on all-cause mortality among older Chinese adults.
    Type of Medium: Online Resource
    ISSN: 2296-2565
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2711781-9
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  • 9
    In: BMJ Open, BMJ, Vol. 12, No. 6 ( 2022-06), p. e055407-
    Abstract: The West China longevity and ageing procedure (WCLAP) cohort study aims to provide guidance for older adults in western China with the aim of improving quality of life, reducing the burden of family care, summarising the characteristics of longevity lifestyles, building a Chinese-longevity-population biobank and exploring the mechanisms underlying population ageing. Participants Since the establishment of the WCLAP research baseline in 2018, a population of 1537 adults aged 80 years and above, living in the community, have been enrolled in the programme as research participants. Of these, 231 are aged 100 years and above. Participants are followed up every year. Finding to data WCLAP data are collected in five hospital research subcentres strategically located adjacent to the national ‘Longevity Townships’ of Chengdu Ziyang, Leshan, Yibin and Pengshan. Data collection included a comprehensive assessment of the participant’s health (including physical, psychological, social and common chronic disease assessments), instrumental tests (body composition and muscle percentage) and the collection of biomedical-biobank samples (include blood, urine, faeces, hair and urine). Future plans Through the annual cohort follow-up, survival-related information is collected at a group level. Analysis of biological samples facilitates biological characterisation at the microscopic level through proteomics, metabolomics, genomics and other techniques. Baseline data, group-level follow-up data and microbiological examination data are integrated together to provide an evaluation tool, exploring sarcopenia, disability, dementia, caregiver burden, ageing biomarkers and other influencing factors. Trial registration numbers 2018-463; ChiCTR1900020754.
    Type of Medium: Online Resource
    ISSN: 2044-6055 , 2044-6055
    Language: English
    Publisher: BMJ
    Publication Date: 2022
    detail.hit.zdb_id: 2599832-8
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  • 10
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Endocrinology Vol. 12 ( 2021-9-13)
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 12 ( 2021-9-13)
    Abstract: Dysregulation of amino acids is closely linked to the initiation and progression of sarcopenia. We summarized recent advancements in the studies of amino acid profiles in sarcopenia and systematically presented the clinical significance of amino acid flux in sarcopenia. Methods We systematically searched in MEDLINE, EMBASE, and Cochrane library from inception to June 1, 2021 to capture all studies examining metabolomics of sarcopenia. We used the following keywords: sarcopenia, metabonomics, metabolomics, amino acid profile, and mass spectrometry. Original articles comparing amino acid patterns between persons with and without sarcopenia were included. Two independent investigators independently completed title and abstract screening, data extraction, and quality evaluation. We used a random effects model to examine the association between amino acids levels and sarcopenia. Sensitivity analyses restricted the analyses to studies in which muscle mass was measured by bioelectrical impedance analysis. Study quality was evaluated according to the Agency for Healthcare Research and Quality (AHRQ) checklist. Results The systematic research yielded six eligible articles, comprising 1,120 participants. Five studies used muscle mass in combination with physical performance and/or muscle strength as the criteria to diagnose sarcopenia, while one study used muscle mass as a diagnostic criterion alone. We found that the concentrations of branched-chain amino acids leucine (standardized mean difference [SMD] -1.249; 95% confidence interval [CI] : -2.275, -0.223, P = 0.02, I 2 = 97.7%), isoleucine (SMD -1.077; 95% CI: -2.106, -0.049, P = 0.04, I 2 = 97.8%), and aromatic amino acid tryptophan (SMD -0.923; 95% CI: -1.580, -0.265, P = 0.01, I 2 = 89.9%) were significantly reduced in individuals with sarcopenia. Study results were robust in sensitivity analysis. Conclusions The homeostasis of amino acids is critical to maintaining muscle health. The profiles of amino acids might be useful biomarkers for the characterization of sarcopenia. Future studies are warranted to study the clinical significance of amino acids in the diagnosis and treatment of sarcopenia.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2592084-4
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