Miracle-dz/UniFAR-FTUs huggingface dataset:
Recent advances in understanding the adaptive evolution of metabolic genes and traits

Purpose of review This review summarizes the recent advances in understanding the adaptive evolution of metabolic genes and traits, providing insights into gene-diet interactions in human evolution and health. Recent findings The rapid accumulation of ancient DNA across time and geography illuminates unprecedented details of some well-established examples of genetic adaptation to diet, such as the LCT and FADS genes. Novel cases of thrifty genes were identified, especially a microRNA at the LCT locus that controls energy expenditure and glucose homeostasis, connecting the historical adaptation to present-day metabolic disorders. A new example of gene–diet–microbiota interactions was established among the AMY1 copy number, starchy diets, and resistant-starch-digesting Ruminococcus. The explosion of genome-wide association studies in large cohorts unravels the present-day health implications of historically adaptive genetic variants. It also enables studies into the polygenic adaptation of metabolic traits, revealing intriguing adaptive signals for increased bone mineral density, blood pressure, and risk of type 2 diabetes, but decreased body mass index and HbA1c. Summary The rapid accumulation of ancient and modern DNA has fueled the characterization of novel and existing cases of genetic adaptation. However, transferring these evolutionary insights into genome-informed precision nutrition requires extensive mechanistic studies and genotype-aware clinical trials.
Developmental Relations Between Home Literacy Environment, Reading Interest, and Reading Skills: Evidence From a 3-Year Longitudinal Study.

We examined the bidirectional relations between home literacy environment, reading interest, and children's emergent literacy and reading skills in a sample of 172 English-speaking Canadian children (Mage = 75.87 months) followed from Grade 1 to Grade 3. Results of cross-lagged analysis revealed that the reading comprehension activities (RCA) at home positively predicted children's reading skills at the end of Grade 2 and the reading skills negatively predicted the RCA in Grade 3. Parent-rated reading interest was bidirectionally related to reading skills, whereas child-rated reading interest was only predicted by earlier reading skills, but not vice versa. These findings suggest that parents are sensitive to their children's reading performance and modify their involvement accordingly.
Effects of low-load blood flow restriction exercise to failure and non-failure on myoelectric activity: a meta-analysis.

OBJECTIVES To compare the short- and long-term effects of low load blood flow restriction (LL-BFR) versus low- (LL-RT) or high-load (HL-RT) resistance training with free blood flow on myoelectric activity, and investigate the differences between failure and non-failure protocols. DATA SOURCE We identified sources by searching the MEDLINE/PUBMED, CINAHL, WEB OF SCIENCE, CENTRAL, SCOPUS, SPORTDiscus, and PEDro electronic databases. STUDY SELECTION We screened titles and abstracts of 1048 articles using our inclusion criteria. A total of 39 articles were selected for further analysis. DATA EXTRACTION Two reviewers independently assessed the methodological quality of each study and extracted data from studies. A meta-analytic approach was used to compute standardized mean differences (SMD ± 95% confidence intervals (CI)). Subgroup analyses were conducted for both failure or non-failure protocols. DATA SYNTHESIS The search identified n = 39 articles that met the inclusion criteria. Regarding the short-term effects, LL-BFR increased muscle excitability compared with LL-RT during non-failure exercises (SMD 0.61, 95% CI 0.34 to 0.88), whereas HL-RT increased muscle excitability compared with LL-BFR regardless of voluntary failure (SMD -0.61, 95% CI -1.01 to 0.21) or not (SMD -1.13, CI -1.94 to -0.33). Concerning the long-term effects, LL-BFR increased muscle excitability compared with LL-RT during exercises performed to failure (SMD 1.09, CI 0.39 to 1.79). CONCLUSIONS Greater short-term muscle excitability levels are observed in LL-BFR than LL-RT during non-failure protocols. Conversely, greater muscle excitability is present during HL-RT compared with LL-BFR, regardless of volitional failure. Furthermore, LL-BFR performed to failure increases muscle excitability in the long-term compared with LL-RT.
Leisure walks modulate the cognitive and affective representation of the corona pandemic: Employing Cognitive‐Affective Maps within a randomized experimental design

Abstract In response to the corona pandemic, many leisure activities have been restricted while walking has been explicitly endorsed by health authorities. We investigated how leisure walking affects individuals' attitudes to the pandemic. We used Cognitive‐Affective Maps (CAMs) to measure individual's cognitive and affective attitudes toward the corona pandemic and related issues. In a controlled randomized experiment, we asked (N = 66) participants to draw a CAM before and after a walk. Participants in a control group drew CAMs before and after any self‐chosen activity at home. We found that walking led to a more negative evaluation of the pandemic itself, likely due to a more intense reflection, while in everyday routines one has already adapted to it. In further qualitative post hoc assessments of the CAMs, we observed that negative concepts other than corona disappeared after walking. We conclude that leisure walks have complex effects on individuals' cognitive and affective conceptualization of the corona pandemic. Hence, the exact mechanisms of these effects need to be examined in future research. Our study has also shown that CAMs are a promising tool for measuring experimental interventions in health psychology.
Minimally Invasive Stabilization with or without Ablation for Metastatic Periacetabular Tumors

Background: Metastatic bone disease in the periacetabular region represents a potentially devastating problem for patients. Surgical treatment can offer pain relief and restore function. We describe a series of patients treated with minimally invasive osteoplasty and screw fixation with or without ablation. Methods: Thirty-eight patients with 16 different metastatic tumor subtypes were managed with osteoplasty and screw fixation with or without ablation at a single institution. A retrospective review was performed to determine functional outcomes with use of the 1993 Musculoskeletal Tumor Society (MSTS) score as well as changes in narcotic usage. Results: MSTS scores improved for all patients following surgery. Narcotic usage decreased in >80% of patients. Approximately half of the operations were outpatient procedures. Complications were minimal, there were no delays in chemotherapy or radiation due to surgical wound concerns, and there were no surgery-related deaths. The mean duration of follow-up was 9 months, with a 39% survival rate at the time of writing. Six of the 12 patients who survived for >1 year required additional procedures at a mean of 12 months (range, 4 to 23 months). Conclusions: Treatment of periacetabular metastatic disease with minimally invasive stabilization with or without ablation provides pain relief and functional improvement with lower complication rates than previously reported open reconstruction techniques. The minimally invasive approach allows for rapid initiation of chemotherapy and radiation. Patients with particularly aggressive cancers that are poorly responsive to systemic therapies and radiation may have progression of disease and may require additional procedures. Conversion to total hip arthroplasty was uncomplicated, and the cement and screw constructs were retained, providing a stable base for the arthroplasty reconstruction. Level of Evidence: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Ten-years cardiovascular risk among Bangladeshi population using non-laboratory-based risk chart of the World Health Organization: Findings from a nationally representative survey

The World Health Organization (WHO) has recently developed a non-laboratory based cardiovascular disease (CVD) risk chart considering the parameters age, sex, current smoking status, systolic blood pressure, and body mass index. Using the chart, we estimated the 10-years CVD risk among the Bangladeshi population aged 40–74 years. We analyzed data from a nationally representative survey conducted in 2018–19. The survey enrolled participants from 82 clusters (57 rural, 15 non-slum urban, and 10 slums) selected by multistage cluster sampling. Using the non-laboratory-based CVD risk chart of the World Health Organization (WHO), we categorized the participants into 5 risk groups: very low (<5%), low (5% to <10%), moderate (10% to <20%), high (20% to <30%) and very high (> = 30%) risk. We performed descriptive analyses to report the distribution of CVD risk and carried out univariable and multivariable logistic regression to identify factors associated with elevated CVD risk (> = 10% CVD risk). Of the 7,381 participants, 46.0% were female. The median age (IQR) was 59.0 (48.0–64.7) years. Overall, the prevalence of very low, low, moderate, high, and very high CVD risk was 34.7%, 37.8%, 25.9%, 1.6%, and 0.1%, respectively. Elevated CVD risk (> = 10%) was associated with poor education, currently unmarried, insufficient physical inactivity, smokeless tobacco use, and self-reported diabetes in both sexes, higher household income, and higher sedentary time among males, and slum-dwelling and non-Muslim religions among females. One in every four Bangladeshi adults had elevated levels of CVD risk, and males are at higher risk of occurring CVD events. Non-laboratory-based risk prediction charts can be effectively used in low resource settings. The government of Bangladesh and other developing countries should train the primary health care workers on the use of WHO non-laboratory-based CVD risk charts, especially in settings where laboratory tests are not available.
Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease

Recent fMRI connectivity-based parcellation (CBP) methods have been developed to obtain homogeneous and functionally coherent brain parcels. However, most of these studies utilize traditional clustering methods that neglect hidden nonlinear features. To enhance parcellation performance, here we propose a deep embedded connectivity-based parcellation (DECBP) framework and apply it to determine functional subdivisions of the striatum in public resting state fMRI data sets. This framework integrates fMRI connectivity features into deep embedded clustering (DEC), a deep neural network based on a stacked autoencoder. Compared to three prevalent clustering methods and their combinations with principal component analysis (PCA), the DECBP exhibited a significantly higher similarity between scans, individuals, and groups, indicating enhanced reproducibility. The generated reliable parcellations were also largely consistent with other public atlases. We further explored the functional subunits in the striatum in a data set from 23 Parkinson's disease (PD) subjects and 27 age-matched healthy controls (HC). All putaminal subregions of PD demonstrated lower interhemispheric connectivity than those of HC, which might reflect imbalance in the pathological progression of PD. Such hypo-connectivity was also observed between putaminal subregions and other brain regions, reflecting neuroimaging manifestations of the altered cortico-striato-thalamo-cortical circuit. These observed weaker couplings were associated with PD severity and duration. Our results support the utilization of the DECBP framework and suggest that abnormal connectivity in putaminal subregions may be a potential indicator of PD.
Adaptation to mitochondrial stress requires CHOP-directed tuning of ISR

Upon mitochondrial dysfunction, CHOP acts as a rheostat that attenuates prolonged stress and delays the onset of cardiomyopathy. In response to disturbed mitochondrial gene expression and protein synthesis, an adaptive transcriptional response sharing a signature of the integrated stress response (ISR) is activated. We report an intricate interplay between three transcription factors regulating the mitochondrial stress response: CHOP, C/EBPβ, and ATF4. We show that CHOP acts as a rheostat that attenuates prolonged ISR, prevents unfavorable metabolic alterations, and postpones the onset of mitochondrial cardiomyopathy. Upon mitochondrial dysfunction, CHOP interaction with C/EBPβ is needed to adjust ATF4 levels, thus preventing overactivation of the ATF4-regulated transcriptional program. Failure of this interaction switches ISR from an acute to a chronic state, leading to early respiratory chain deficiency, energy crisis, and premature death. Therefore, contrary to its previously proposed role as a transcriptional activator of mitochondrial unfolded protein response, our results highlight a role of CHOP in the fine-tuning of mitochondrial ISR in mammals.
Don’t mess with the pancreas! A multicenter analysis of the management of low-grade pancreatic injuries

INTRODUCTION Current guidelines recommend nonoperative management (NOM) of low-grade (American Association for the Surgery of Trauma-Organ Injury Scale Grade I–II) pancreatic injuries (LGPIs), and drainage rather than resection for those undergoing operative management, but they are based on low-quality evidence. The purpose of this study was to review the contemporary management and outcomes of LGPIs and identify risk factors for morbidity. METHODS Multicenter retrospective review of diagnosis, management, and outcomes of adult pancreatic injuries from 2010 to 2018. The primary outcome was pancreas-related complications (PRCs). Predictors of PRCs were analyzed using multivariate logistic regression. RESULTS Twenty-nine centers submitted data on 728 patients with LGPI (76% men; mean age, 38 years; 37% penetrating; 51% Grade I; median Injury Severity Score, 24). Among 24-hour survivors, definitive management was NOM in 31%, surgical drainage alone in 54%, resection in 10%, and pancreatic debridement or suturing in 5%. The incidence of PRCs was 21% overall and was 42% after resection, 26% after drainage, and 4% after NOM. On multivariate analysis, independent risk factors for PRC were other intra-abdominal injury (odds ratio [OR], 2.30; 95% confidence interval [95% CI], 1.16–15.28), low volume (OR, 2.88; 1.65, 5.06), and penetrating injury (OR, 3.42; 95% CI, 1.80–6.58). Resection was very close to significance (OR, 2.06; 95% CI, 0.97–4.34) (p = 0.0584). CONCLUSION The incidence of PRCs is significant after LGPIs. Patients who undergo pancreatic resection have PRC rates equivalent to patients resected for high-grade pancreatic injuries. Those who underwent surgical drainage had slightly lower PRC rate, but only 4% of those who underwent NOM had PRCs. In patients with LGPIs, resection should be avoided. The NOM strategy should be used whenever possible and studied prospectively, particularly in penetrating trauma. LEVEL OF EVIDENCE Therapeutic Study, level IV.
Putting the brakes on phagocytosis: “don't‐eat‐me” signaling in physiology and disease

Timely removal of dying or pathogenic cells by phagocytes is essential to maintaining host homeostasis. Phagocytes execute the clearance process with high fidelity while sparing healthy neighboring cells, and this process is at least partially regulated by the balance of “eat‐me” and “don't‐eat‐me” signals expressed on the surface of host cells. Upon contact, eat‐me signals activate “pro‐phagocytic” receptors expressed on the phagocyte membrane and signal to promote phagocytosis. Conversely, don't‐eat‐me signals engage “anti‐phagocytic” receptors to suppress phagocytosis. We review the current knowledge of don't‐eat‐me signaling in normal physiology and disease contexts where aberrant don't‐eat‐me signaling contributes to pathology.
Conduct and evaluation of final-year medical student summative assessments in Psychiatry and Addiction Medicine during COVID-19: an Australian University Medical School experience

Objective: To describe and share with the medical education community, the conduct and evaluation of summative graduate medical student assessments in Psychiatry and Addiction Medicine during COVID-19 at an Australian university. Methods: Summative assessments were redesigned as follows: written assessments were administered via an online platform (WATTLE), while the Objective Structured Clinical Examinations (OSCE) were conducted via a secure video-conferencing software (Zoom). Results: Our preliminary analysis of the summative assessments indicated that both examiners and students adapted to the format, with overall performance of the students showing no variation due to timing of the assessment (earlier versus later in the day) and performances similar to face-to-face assessments in previous years. Examiners also expressed positive feedback on the assessment process. Conclusions: Our graduate fourth-year medical student summative assessments were effectively conducted using online and video-conferencing software in accordance with existing COVID-19 pandemic public health measures for physical distancing and hygiene.
Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions From Limited Data

Non-parametric regression has been shown to be useful in extracting relevant features from Local Field Potential (LFP) signals for decoding motor intentions. Yet, in many instances, brain-computer interfaces (BCIs) rely on simple classification methods, circumventing deep neural networks (DNNs) due to limited training data. This paper leverages the robustness of several important results in non-parametric regression to harness the potentials of deep learning in limited data setups. We consider a solution that combines Pinsker’s theorem as well as its adaptively optimal counterpart due to James-Stein for feature extraction from LFPs, followed by a DNN for classifying motor intentions. We apply our approach to the problem of decoding eye movement intentions from LFPs collected in macaque cortex while the animals perform memory-guided visual saccades to one of eight target locations. The results demonstrate that a DNN classifier trained over the Pinsker features outperforms the benchmark method based on linear discriminant analysis (LDA) trained over the same features.
The Efficacy of Physical Activity for Children with Attention Deficit Hyperactivity Disorder: A Meta-Analysis of Randomized Controlled Trials

Background: This systematic review and meta-analysis assesses the efficacy of regular, moderate to vigorous physical activity (MVPA) for attention deficit hyperactivity disorder (ADHD) in children and adolescents in randomized controlled trials (RCTs). Methods: RCTs including children and adolescents with clinically diagnosed ADHD, implementing regular MVPA, and assessing ADHD core-symptoms on a valid rating scale post-intervention (primary outcome) were included. Outcomes were pooled through random-effects meta-analysis. Prospero registration: CRD42019142166. Results: MVPA had a small effect on total ADHD core symptoms (n = 11; g = −0.33; 95% CI [−0.63; −0.02]; p = .037). Conclusions: MVPA could serve as an alternative treatment for ADHD. New RCTs are necessary to increase the understanding of the effect regarding frequency, intensity, type of MVPA interventions, and differential effects on age groups.
Particulate Formation in Premixed and Counter-flow Diffusion Ethylene/Ethanol Flames

The role of ethanol, as substituent to ethylene, on the formation of particulate matter has been investigated in different flame configurations by using in situ optical techniques. Laser induced fluorescence and incandescence signals, correlated to small precursor nanoparticles and large soot particles, respectively, have been measured in premixed and counter-flow diffusion flames of ethylene doped with different amounts of ethanol, covering a wide range of ethanol addition, much higher than that reported in the literature. In premixed flames, the addition of ethanol reduces nanoparticle and soot particle formation. The effect is stronger for the soot particles, that is, particles with sizes larger than 10 nm, and in flames operated close to the soot threshold limit. The addition of 30% of ethanol reduces soot particle concentration below the detection limit, whereas nanoparticles are still formed in large amounts. The counter-flow diffusion flame configuration shows a different behavior. In the fuel side.
Quinoline and Quinazoline Derivatives Inhibit Viral RNA Synthesis by SARS-CoV-2 RdRp

Coronavirus disease 2019 (COVID-19) is a fatal respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The identification of potential drugs is urgently needed to control the pandemic. RNA dependent RNA polymerase (RdRp) is a conserved protein within RNA viruses and plays a crucial role in the viral life cycle, thus making it an attractive target for development of antiviral drugs. In this study, 101 quinoline and quinazoline derivatives were screened against SARS-CoV-2 RdRp using a cell-based assay. Three compounds I-13e, I-13h, and I-13i exhibit remarkable potency in inhibiting RNA synthesis driven by SARS-CoV-2 RdRp and relatively low cytotoxicity. Among these three compounds, I-13e showed the strongest inhibition upon RNA synthesis driven by SARS-CoV-2 RdRp, the resistance to viral exoribonuclease activity and the inhibitory effect on the replication of CoV, thus holding potential of being drug candidate for treatment of SARS-CoV-2.
Null effects of levodopa on reward- and error-based motor adaptation, savings, and anterograde interference.

Dopamine signaling is thought to mediate reward-based learning. We tested for a role of dopamine in motor adaptation by administering the dopamine precursor levodopa to healthy participants in two experiments involving reaching movements. Levodopa has been shown to impair reward-based learning in cognitive tasks. Thus, we hypothesized that levodopa would selectively impair aspects of motor adaptation that depend on reinforcement of rewarding actions.In the first experiment, participants performed two separate tasks in which adaptation was driven either by visual error-based feedback of the hand position or binary reward feedback. We used EEG to measure event-related potentials evoked by task feedback. We hypothesized that levodopa would specifically diminish adaptation and the neural responses to feedback in the reward learning task. However, levodopa did not affect motor adaptation in either task nor did it diminish event-related potentials elicited by reward outcomes. In the second experiment, participants learned to compensate for mechanical force field perturbations applied to the hand during reaching. Previous exposure to a particular force field can result in savings during subsequent adaptation to the same force field or interference during adaptation to an opposite force field. We hypothesized that levodopa would diminish savings and anterograde interference, as previous work suggests that these phenomena result from a reinforcement learning process. However, we found no reliable effects of levodopa.These results suggest that reward-based motor adaptation, savings, and interference may not depend on the same dopaminergic mechanisms that have been shown to be disrupted by levodopa during various cognitive tasks.