Bacteriophages, gut bacteria, and microbial pathways interplay in cardiometabolic health.

Cardiometabolic diseases are leading causes of mortality in Western countries. Well-established risk factors include host genetics, lifestyle, diet, and the gut microbiome. Moreover, gut bacterial communities and their activities can be altered by bacteriophages (also known simply as phages), bacteria-infecting viruses, making these biological entities key regulators of human cardiometabolic health. The manipulation of bacterial populations by phages enables the possibility of using phages in the treatment of cardiometabolic diseases through phage therapy and fecal viral transplants. First, however, a deeper understanding of the role of the phageome in cardiometabolic diseases is required. In this review, we first introduce the phageome as a component of the gut microbiome and discuss fecal viral transplants and phage therapy in relation to cardiometabolic diseases. We then summarize the current state of phageome research in cardiometabolic diseases and propose how the phageome might indirectly influence cardiometabolic health through gut bacteria and their metabolites.

Comparison of Answers between ChatGPT and Human Dieticians to Common Nutrition Questions.

Background: More people than ever seek nutrition information from online sources. The chatbot ChatGPT has seen staggering popularity since its inception and may become a resource for information in nutrition. However, the adequacy of ChatGPT to answer questions in the field of nutrition has not been investigated. Thus, the aim of this research was to investigate the competency of ChatGPT in answering common nutrition questions. Methods: Dieticians were asked to provide their most commonly asked nutrition questions and their own answers to them. We then asked the same questions to ChatGPT and sent both sets of answers to other dieticians (N = 18) or nutritionists and experts in the domain of each question (N = 9) to be graded based on scientific correctness, actionability, and comprehensibility. The grades were also averaged to give an overall score, and group means of the answers to each question were compared using permutation tests. Results: The overall grades for ChatGPT were higher than those from the dieticians for the overall scores in five of the eight questions we received. ChatGPT also had higher grades on five occasions for scientific correctness, four for actionability, and five for comprehensibility. In contrast, none of the answers from the dieticians had a higher average score than ChatGPT for any of the questions, both overall and for each of the grading components. Conclusions: Our results suggest that ChatGPT can be used to answer nutrition questions that are frequently asked to dieticians and provide encouraging support for the role of chatbots in offering nutrition support.

Brow and Eyelid Rejuvenation: Trends from the 100 Most Cited Articles over 30 Years.

Background and Objective: Various periorbital rejuvenation techniques have been introduced over the last 3 decades. This study highlights important milestones in the evolution of periorbital rejuvenation surgery by identifying the 100 most-cited articles in this field. Material and Methods: The Web of Science citation index was used to identify the 100 most-cited articles concerning periorbital rejuvenation. Articles published in English from January 1989-April 2020 describing periorbital rejuvenation-related surgical techniques, facial aging, and anatomy were included. The terms "lower blepharoplasty", "upper blepharoplasty", "browlift", "browplasty", "endobrow lift", "endoscopic brow", "Foreheadplasty", "lower eyelid anatomy", "upper eyelid anatomy", "forehead lift", "eyelid rejuvenation", "canthopexy", "canthoplasty", "eyelid fat pad", "orbital fat pad", "tear trough", and "eyelid bags" were entered into the citation search. Web of Science Core Collection was the database used for the search. A manual review of the initial 159 studies was performed. Articles describing reconstructive or non-invasive techniques, injectable fillers, lasers, and neurotoxins were excluded. Of the 100 most-cited articles, the publication year, specialty journal, the corresponding author's primary specialty, the focus of the article, the corresponding author's country of residence, the type of study, and the level of evidence were analyzed. Results: The mean number of citations per article was 75 ± 42. There were more articles published from 1989-1999 (n = 53) than later decades. Most articles originated from the USA (n = 82) and were published in plastic surgery journals (n = 81). Plastic surgery was the primary specialty of the corresponding authors (n = 71), followed by oculoplastic surgery (n = 22). Most articles (n = 69) reported on surgical techniques. Of the clinical studies (n = 69), 45 (79%) provided level IV evidence. Conclusions: Of the 100 most-cited studies on periorbital rejuvenation, studies focusing on periorbital anatomy, aging, and surgical techniques comprised the most-cited publications. An anatomically based approach accounting for age-related changes in the periorbital structures is paramount in the field of contemporary periorbital rejuvenation.

Machine Learning in Nutrition Research.

Data currently generated in the field of nutrition are becoming increasingly complex and high-dimensional, bringing with them new methods of data analysis. The characteristics of machine learning (ML) make it suitable for such analysis and thus lend itself as an alternative tool to deal with data of this nature. ML has already been applied in important problem areas in nutrition, such as obesity, metabolic health, and malnutrition. Despite this, experts in nutrition are often without an understanding of ML, which limits its application and therefore potential to solve currently open questions. The current article aims to bridge this knowledge gap by supplying nutrition researchers with a resource to facilitate the use of ML in their research. ML is first explained and distinguished from existing solutions, with key examples of applications in the nutrition literature provided. Two case studies of domains in which ML is particularly applicable, precision nutrition and metabolomics, are then presented. Finally, a framework is outlined to guide interested researchers in integrating ML into their work. By acting as a resource to which researchers can refer, we hope to support the integration of ML in the field of nutrition to facilitate modern research.

Precision nutrition: A systematic literature review.

Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a subbranch of Artificial Intelligence, has promise to aid in the development of predictive models that are suitable for Precision Nutrition. As such, recent research has applied machine learning algorithms, tools, and techniques in precision nutrition for different purposes. However, a systematic overview of the state-of-the-art on the use of machine learning in Precision Nutrition is lacking. Therefore, we carried out a Systematic Literature Review (SLR) to provide an overview of where and how machine learning has been used in Precision Nutrition from various aspects, what such machine learning models use as input features, what the availability status of the data used in the literature is, and how the models are evaluated. Nine research questions were defined in this study. We retrieved 4930 papers from electronic databases and 60 primary studies were selected to respond to the research questions. All of the selected primary studies were also briefly discussed in this article. Our results show that fifteen problems spread across seven domains of nutrition and health are present. Four machine learning tasks are seen in the form of regression, classification, recommendation and clustering, with most of these utilizing a supervised approach. In total, 30 algorithms were used, with 19 appearing more than once. Models were through the use of four groups of approaches and 23 evaluation metrics. Personalized approaches are promising to reduce the burden of these current problems in nutrition research, and the current review shows Machine Learning can be incorporated into Precision Nutrition research with high performance. Precision Nutrition researchers should consider incorporating Machine Learning into their methods to facilitate the integration of many complex features, allowing for the development of high-performance Precision Nutrition approaches.

Tight Placement of Erich Arch Bar While Avoiding Wire Fatigue Failure.

PURPOSE: To determine the number of wire twists needed to acquire ideal Erich arch bar tightness before wire fatigue failure (fracture) in relation to different distances and angles at which different gauge wires are grasped to provide information to improve the efficiency of arch bar application. MATERIALS AND METHODS: This study mimicked surgical placement of arch bars with 24- and 26-gauge wires. The number of twists to tightness and failure was evaluated when the wire distance between the arch bar and wire holder tip changed (5 vs 10 mm) and when the degree at which the wire was held relative to the tooth axis was changed (45° vs 90°). A wire shearing test also was used to investigate the fatigability of wires tightened under these same conditions. Wires twisted to tightness, past tightness, and after shearing test movements were visualized with electron microscopy. RESULTS: For 24-gauge wire held at 5 mm, 2.6 to 2.8 twists were needed for wire tightness, with failure after 1.7 to 1.9 twists past tightness; for 24-gauge wire held at 10 mm, 4.4 to 4.9 twists produced tightness, with failure after 2.3 to 2.9 twists past tightness. For 26-gauge wire held at 5 mm, 3.3 to 3.5 twists provided tightness, with 1.6 to 1.8 twists past tightness causing failure; for 26-gauge wire held at 10 mm, 5.1 to 5.5 twists produced tightness, with 3.1 to 3.7 twists past tightness causing failure. At a 45° angle, the wire tightened with fewer twists and showed more resistance to failure with twists past tightness compared with 90° using 24- and 26-gauge wires. In contrast, 24-gauge wire held at a 5-mm distance showed the opposite result, with decreased resistance to failure at the 45° angle. However, the differences were not statistically meaningful. Scanning election microscopy showed no wire fatigue for either angle for 26-gauge wire held at a 5-mm distance and twisted to tightness. After overtightening and oscillation, the 90° angle trials showed fatigue, whereas the 45° angle trials did not. CONCLUSIONS: Holding a 24-gauge wire at 45° to the tooth axis is recommended owing to fewer twists to tightness and more resistance to failure. A 5-mm grasping distance is recommended for experienced surgeons owing to fewer twists to tightness, whereas a 10-mm grasping distance is recommended for novice surgeons owing to a greater tolerance for over-twisting before failure.

Amnioreduction in the management of polyhydramnios complicating singleton pregnancies.

OBJECTIVE: The purpose of this study was to evaluate the contribution of amnioreduction to the management of singleton pregnancies that are complicated by symptomatic polyhydramnios. STUDY DESIGN: Retrospective review of all singleton pregnancies that received at least 1 amnioreduction for polyhydramnios from 2000-2012 at a single obstetric unit that provides a statewide service. The indications, procedural techniques, and pregnancy outcomes were evaluated. RESULTS: One hundred thirty-eight women with polyhydramnios (maximal vertical pocket [MVP], ≥8 cm) had 271 amnioreduction procedures during the study period. The median gestation at the first drain was 31.4 weeks (interquartile range, 28.4-34 weeks) and a median of 1 procedure (interquartile range, 1-2 procedures) was performed per pregnancy. Sixty-three women (45.6%) required >1 amnioreduction. The median volume removed per pregnancy was 2100 mL (interquartile range, 1500-4260 mL). The median duration from the first amnioreduction until delivery was 26 days (interquartile range, 15-52.5 days). There was no significant association between gestation at delivery and the volume per procedure or total volume that was removed. Earlier gestation at first drain was associated positively with earlier gestations at delivery. In 4.1% of amnioreduction procedures (11/271 procedures), there was an unplanned preterm birth within 48 hours. The median gestation at delivery was 36.4 weeks (interquartile range, 34-38 weeks). The final diagnoses were gastrointestinal malformations (21%), idiopathic polyhydramnios (20.3%), chromosomal anomaly (15.2%), syndromic condition (13.7%), and neurologic condition (8%). CONCLUSION: Amnioreduction has a useful role in the management of polyhydramnios in singleton pregnancies. Complications are uncommon, and delivery typically occurs near term.

Neuro-glial and systemic mechanisms of pathological responses in rat models of primary blast overpressure compared to "composite" blast.

A number of experimental models of blast brain injury have been implemented in rodents and larger animals. However, the variety of blast sources and the complexity of blast wave biophysics have made data on injury mechanisms and biomarkers difficult to analyze and compare. Recently, we showed the importance of rat position toward blast generated by an external shock tube. In this study, we further characterized blast producing moderate traumatic brain injury and defined "composite" blast and primary blast exposure set-ups. Schlieren optics visualized interaction between the head and a shock wave generated by external shock tube, revealing strong head acceleration upon positioning the rat on-axis with the shock tube (composite blast), but negligible skull movement upon peak overpressure exposure off-axis (primary blast). Brain injury signatures of a primary blast hitting the frontal head were assessed and compared to damage produced by composite blast. Low to negligible levels of neurodegeneration were found following primary blast compared to composite blast by silver staining. However, persistent gliosis in hippocampus and accumulation of GFAP/CNPase in circulation was detected after both primary and composite blast. Also, markers of vascular/endothelial inflammation integrin alpha/beta, soluble intercellular adhesion molecule-1, and L-selectin along with neurotrophic factor nerve growth factor-beta were increased in serum within 6 h post-blasts and persisted for 7 days thereafter. In contrast, systemic IL-1, IL-10, fractalkine, neuroendocrine peptide Orexin A, and VEGF receptor Neuropilin-2 (NRP-2) were raised predominantly after primary blast exposure. In conclusion, biomarkers of major pathological pathways were elevated at all blast set-ups. The most significant and persistent changes in neuro-glial markers were found after composite blast, while primary blast instigated prominent systemic cytokine/chemokine, Orexin A, and Neuropilin-2 release, particularly when primary blast impacted rats with unprotected body.

Morphologic and biochemical characterization of brain injury in a model of controlled blast overpressure exposure.

OBJECTIVES: Existing experimental approaches for studies of blast impact in small animals are insufficient and lacking consistency. Here, we present a comprehensive model, with repeatable blast signatures of controlled duration, peak pressure, and transmitted impulse, accurately reproducing blast impact in laboratory animals. MATERIALS: Rat survival, brain pathomorphology, and levels of putative biomarkers of brain injury glial fibrillary acid protein (GFAP), neuron-specific enolase, and ubiquitin C-terminal hydrolase (UCH)-L1 were examined in brain, cerebrospinal fluid (CSF), and blood after 10 msec of 358 kPa peak overpressure blast exposure. RESULTS: The high-speed imaging demonstrated a strong head acceleration/jolting accompanied by typical intracranial hematomas and brain swelling. Microscopic injury was revealed by prominent silver staining in deep brain areas, including the nucleus subthalamicus zone, suggesting both diffused and focal neurodegeneration. GFAP and 2',3'-cyclic nucleotide 3'-phosphodiesterase (CNPase), markers of astroglia and oligodendroglia, accumulated substantially in the hippocampus 24 hours after blast and persisted for 30 days postblast. However, GFAP content in the blood significantly increased 24 hours after injury, followed by a decline and subsequent accumulation in CSF in a time-dependent fashion. A similar profile is shown for UCH-L1 increase in blood, whereas increased CSF levels of UCH-L1 persisted throughout 14 days after blast and varied significantly in individual rats. Neuron-specific enolase levels in blood were significantly elevated within 24 hours and 48 hours postblast. CONCLUSIONS: The proposed model of controlled nonpenetrating blast in rats demonstrates the critical pathologic and biochemical signatures of blast brain injury that may be triggered by cerebrovascular responses, including blood-brain barrier disruption, glia responses, and neuroglial alterations.

Brain activation during autobiographical relationship episode narratives: a core conflictual relationship theme approach.

The authors combined the core conflictual relationship theme (CCRT) method and functional magnetic resonance imaging (fMRI) to identify brain regions involved in recall of autobiographical relationship episodes, a key process in psychotherapy. Relationship narratives were obtained from healthy subjects and scored for CCRT relationship themes and emotion. Autobiographical personal and nonautobiographical control narratives were presented in a block-design fMRI experiment. Personal versus control narratives showed activations in anterior cingulate, precuneus, inferior and middle frontal gyri, and inferior parietal lobule. These are regions involved in autobiographical memory, theory of mind, self-referential processing, and emotion. In an exploratory analysis, higher CCRT scores correlated with increased brain activation in the left hippocampus, parahippocampal gyrus, and middle occipital gyrus. This suggests that brain systems subserving memory processes are more active when recalling relationship episodes with greater CCRT content.

Biomarkers of blast-induced neurotrauma: profiling molecular and cellular mechanisms of blast brain injury.

The nature of warfare in the 21st century has led to a significant increase in primary blast or over-pressurization injuries to the whole body and head, which manifest as a complex of neuro-somatic damage, including traumatic brain injury (TBI). Identifying relevant pathogenic pathways in reproducible experimental models of primary blast wave exposure is therefore vital to the development of biomarkers for diagnostics of blast brain injury. Comparative analysis of mechanisms and putative biomarkers of blast brain injury is complicated by a deficiency of experimental studies. In this article, we present an overview of current TBI biomarkers, as well as outline experimental strategies to investigate molecular signatures of blast neurotrauma and to develop a pathway network map for novel biomarker discovery. These biomarkers will be effective for triaging and managing both combat and civilian casualities.

Is psychotherapy good for your health?

This is a dedicated review of the evidence for the relation of having a period of psychotherapy and then comparing it with a measure of improved physical health. We aimed to make it the first intended-to-be-complete review of this type. Three inter-related types of studies were examined: Type 1: reduction in physical illnesses through psychotherapy, especially for the patient's survival time during the interval between diagnosis and an end point, Type 2: reduction in pain in relation to receiving psychotherapy, and Type 3: reduction in costs of treatment in relation to receiving psychotherapy. To find the relevant studies on these topics, we performed a literature search using both Psychinfo and Medline databases. An average of the effect sizes under each type was taken to calculate the mean effect size along with its confidence interval. Our results (1) on survival time for the combined severe patients, did not reach even the lowest significant level of effect size, although the low severity patients seemed to fit the hypothesis better, but the other two reduction topics, (2) and (3), clearly did achieve it.