Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine.

Aging and regeneration represent complex biological phenomena that have long captivated the scientific community. To fully comprehend these processes, it is essential to investigate molecular dynamics through a lens that encompasses both spatial and temporal dimensions. Conventional omics methodologies, such as genomics and transcriptomics, have been instrumental in identifying critical molecular facets of aging and regeneration. However, these methods are somewhat limited, constrained by their spatial resolution and their lack of capacity to dynamically represent tissue alterations. The advent of emerging spatiotemporal multi-omics approaches, encompassing transcriptomics, proteomics, metabolomics, and epigenomics, furnishes comprehensive insights into these intricate molecular dynamics. These sophisticated techniques facilitate accurate delineation of molecular patterns across an array of cells, tissues, and organs, thereby offering an in-depth understanding of the fundamental mechanisms at play. This review meticulously examines the significance of spatiotemporal multi-omics in the realms of aging and regeneration research. It underscores how these methodologies augment our comprehension of molecular dynamics, cellular interactions, and signaling pathways. Initially, the review delineates the foundational principles underpinning these methods, followed by an evaluation of their recent applications within the field. The review ultimately concludes by addressing the prevailing challenges and projecting future advancements in the field. Indubitably, spatiotemporal multi-omics are instrumental in deciphering the complexities inherent in aging and regeneration, thus charting a course toward potential therapeutic innovations.

DP-GAN+B: A lightweight generative adversarial network based on depthwise separable convolutions for generating CT volumes.

X-rays, commonly used in clinical settings, offer advantages such as low radiation and cost-efficiency. However, their limitation lies in the inability to distinctly visualize overlapping organs. In contrast, Computed Tomography (CT) scans provide a three-dimensional view, overcoming this drawback but at the expense of higher radiation doses and increased costs. Hence, from both the patient's and hospital's standpoints, there is substantial medical and practical value in attempting the reconstruction from two-dimensional X-ray images to three-dimensional CT images. In this paper, we introduce DP-GAN+B as a pioneering approach for transforming two-dimensional frontal and lateral lung X-rays into three-dimensional lung CT volumes. Our method innovatively employs depthwise separable convolutions instead of traditional convolutions and introduces vector and fusion loss for superior performance. Compared to prior models, DP-GAN+B significantly reduces the generator network parameters by 21.104 M and the discriminator network parameters by 10.82 M, resulting in a total reduction of 31.924 M (44.17%). Experimental results demonstrate that our network can effectively generate clinically relevant, high-quality CT images from X-ray data, presenting a promising solution for enhancing diagnostic imaging while mitigating cost and radiation concerns.

Predictive Value of Nutritional Risk for All-Cause Death and Functional Outcomes in Chinese Elderly Patients with Acute Stroke: A 3-Year Follow-Up Study.

Purpose: To explore the predictive value of nutritional risk for all-cause death and functional outcomes among elderly acute stroke patients. Patients and Methods: A total of 479 elderly acute stroke patients were enrolled in this study. The nutritional risk of patients was screened by the GNRI and NRS-2002. The primary outcome was all-cause death, and the secondary outcome was poor prognosis defined as a modified Rankin Scale (mRS) score ≥3. Results: Based on the NRS-2002, patients with nutritional risk had a higher risk of all-cause death at 3 months (adjusted OR: 3.642, 95% CI 1.046~12.689) and at 3 years (adjusted OR: 2.266, 95% CI 1.259~4.076) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.748, 95% CI 1.518~4.972. Based on the GNRI, compared to those without nutritional risk, patients with mild malnutrition also had a higher risk of all-cause death at 3 months (adjusted OR: 7.186, 95% CI 1.550~33.315) and at 3 years (adjusted OR: 2.255, 95% CI 1.211~4.199) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 1.947, 95% CI 1.030~3.680), so patients with moderate and severe malnutrition had a higher risk of all-cause death at 3 months (adjusted OR: 6.535, 95% CI 1.380~30.945) and at 3 years (adjusted OR: 2.498, 95% CI 1.301~4.799) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.213, 95% CI 1.144~4.279). Conclusion: Nutritional risk increases the risk of poor short-term and long-term outcomes in elderly patients with acute stroke. For elderly stroke patients, we should pay attention to early nutritional risk screening, and effective intervention should be provided to improve the prognosis of such patients.

Fasting blood glucose-to-glycated hemoglobin ratio and all-cause mortality among Chinese in-hospital patients with acute stroke: a 12-month follow-up study.

BACKGROUND: Stroke is a leading cause of death and functional impairment in older people. To assess the prospective association between fasting blood glucose-to-glycated hemoglobin ratio and all-cause mortality and poor prognosis in stroke patients. METHODS: A total of 971 Chinese inpatients with acute stroke (mean age of 65.7) were consecutively enrolled in the prospective clinical study and followed up for 12 months after discharge. Stress hyperglycemia was measured using the ratio of fasting blood glucose (FBG, mmol/L)/glycated hemoglobin (HbA1c, %). The primary outcome was all-cause mortality, and secondary outcomes were poor prognosis defined as infectious complications, a National Institutes of Health Stroke Scale (NIHSS) score ≥ 6, a Barthel Index score ≤ 60, or a modified Rankin Scale (mRS) score of 3-6, presented as multivariate-adjusted odds ratios (ORs) with 95% confidence intervals (CIs) across the quartiles of the FBG/HbA1c ratio. RESULTS: There were 35 (4.1%) all-cause deaths at 3 months and 85 (11.4%) at 12 months. The inpatients with the highest quartile of the FBG/HbA1c ratio had a higher risk of all-cause death at 3 months (adjusted OR: 5.16, 95% CI: 1.03-25.74) and at 12 months (adjusted OR: 2.59, 95% CI: 1.14-5.89)) and a higher risk of infectious complications (adjusted OR 2.37, 95% CI 1.27-4.43) and dysfunction (adjusted OR 1.79, 95% CI 1.06-3.01) during hospitalization than inpatients with the lowest quartile. CONCLUSIONS: Stress hyperglycemia, measured by the FBG/HbA1c ratio, was associated with an increased risk of adverse outcomes, including all-cause death, infectious complications, and dysfunction after stroke.

Comparing the prognostic significance of nutritional screening tools and ESPEN-DCM on 3-month and 12-month outcomes in stroke patients.

BACKGROUND AND AIMS: Malnutrition is prevalent among individuals with acute ischaemic stroke (AIS) and may worsen clinical outcomes. There is no consensus on the best tool for nutritional screening in this population. The present study compared four screening tools and one diagnostic tool in terms of their prognostic significance in predicting short-term and long-term outcomes in AIS patients. METHODS: We included patients admitted to five major hospitals in Wenzhou and diagnosed with a primary diagnosis of AIS from October 1 to December 31, 2018. The Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Screening Tool 2002 (NRS-2002) and the European Society for Clinical Nutrition and Metabolism diagnostic criteria for malnutrition (ESPEN-DCM) were assessed at admission. The clinical outcomes were evaluated by the modified Rankin Scale (mRS) and mortality at 3 months and 12 months after discharge. RESULTS: Five hundred and ninety-three patients were included in our prospective study. The mean age was 67.3 ± 12.0 years. Based on the mRS score, 125 patients exhibited poor functional recovery (an mRS ≥3) at 3 months after discharge. Seventeen patients died during the 3-month follow-up period, and the other 25 did not survive 12 months. Multivariate binary logistic regression revealed that inadequate nutritional status at admission, as determined by the CONUT, GNRI, MUST, NRS-2002 and ESPEN-DCM, were independently associated with poor outcomes in AIS patients 3 months after discharge. Both MUST ≥2 and NRS-2002 ≥ 3 showed significant associations with poor outcomes at 12-month post-discharge. Further analysis with the receiver operator characteristic (ROC) curve showed similar results, where all the tools predicted the poor outcomes at 3 months while only the NRS-2002 and MUST scores were significantly associated with the mRS at 12 months post-discharge. Moreover, the area under the curve (AUC) of MUST and NRS-2002 were significantly larger than those for the other tools. The optimal cut-off values of the MUST and NRS-2002 to predict poor outcomes were scores of ≥2 and ≥ 3 points, respectively. CONCLUSIONS: Our data supported a deleterious effect of inadequate nutrition, as evidenced by the nutrition screening tools or ESPEN-DCM, on clinical outcomes during and beyond the acute phase of AIS. We recommended the use of the MUST and NRS-2002 in guiding nutritional support in AIS patients, as they have higher predictive power and can predict both short-term and long-term outcomes.

Being at risk of malnutrition predicts poor outcomes at 3 months in acute ischemic stroke patients.

BACKGROUND: Malnutrition is confirmed to be associated with poor outcomes in stroke patients. The present study aimed to confirm that being at risk of malnutrition assessed by Nutritional Risk Screening Tool 2002 (NRS-2002) and the Controlling Nutritional Status (CONUT) score predicts poor outcomes at 3 months in acute ischemic stroke (AIS) patients. METHODS: In total, 682 patients with AIS were recruited within 7 days of stroke onset consecutively and 110 were dropped out. They were screened for risk of malnutrition using NRS-2002 and the CONUT score. The primary outcome is the follow-up modified Rankin Scale (mRS) score. Poor outcomes were defined as an (mRS) score ≥ 3 at 3 months post discharge. RESULTS: There was a significant difference in the mRS score at 3 months between patients at risk of malnutrition compared to those not at risk assessed by NRS-2002(P < 0.001) and CONUT (P = 0.011). The logistic regression model showed that the risk of malnourishment (according to NRS-2002), low risk of malnourishment (according to CONUT), and the moderate-to-severe risk of malnourishment (according to CONUT) were associated with higher risk of poor outcomes at 3 months (P < 0.001, P = 0.033, and P = 0.007). The multivariate logistic regression model (adjusted for confounding factors) demonstrated that the risk of malnourishment, according to the NRS-2002, was associated with the increasing risk of poor outcomes at 3 months (odds ratio = 2.31; 95% CI: 1.24-4.30; P = 0.008). CONCLUSIONS: The risk of malnutrition assessed by NRS-2002 and CONUT can predict poor outcomes at 3 months in AIS patients. NRS-2002 is superior to CONUT in predicting poor outcomes at 3 months.