Large-scale Studies Research Articles

Genetic testing in early-onset atrial fibrillation.

Atrial fibrillation (AF) is a globally prevalent cardiac arrhythmia with significant genetic underpinnings, as highlighted by recent large-scale genetic studies. A prominent clinical and genetic overlap exists between AF, heritable ventricular cardiomyopathies, and arrhythmia syndromes, underlining the potential of AF as an early indicator of severe ventricular disease in younger individuals. Indeed, several recent studies have demonstrated meaningful yields of rare pathogenic variants among early-onset AF patients (∼4%-11%), most notably for cardiomyopathy genes in which rare variants are considered clinically actionable. Genetic testing thus presents a promising opportunity to identify monogenetic defects linked to AF and inherited cardiac conditions, such as cardiomyopathy, and may contribute to prognosis and management in early-onset AF patients. A first step towards recognizing this monogenic contribution was taken with the Class IIb recommendation for genetic testing in AF patients aged 45 years or younger by the 2023 American College of Cardiology/American Heart Association guidelines for AF. By identifying pathogenic genetic variants known to underlie inherited cardiomyopathies and arrhythmia syndromes, a personalized care pathway can be developed, encompassing more tailored screening, cascade testing, and potentially genotype-informed prognosis and preventive measures. However, this can only be ensured by frameworks that are developed and supported by all stakeholders. Ambiguity in test results such as variants of uncertain significance remain a major challenge and as many as ∼60% of people with early-onset AF might carry such variants. Patient education (including pretest counselling), training of genetic teams, selection of high-confidence genes, and careful reporting are strategies to mitigate this. Further challenges to implementation include financial barriers, insurability issues, workforce limitations, and the need for standardized definitions in a fast-moving field. Moreover, the prevailing genetic evidence largely rests on European descent populations, underscoring the need for diverse research cohorts and international collaboration. Embracing these challenges and the potential of genetic testing may improve AF care. However, further research-mechanistic, translational, and clinical-is urgently needed.

Number of sinus procedures reduces inpatient mortality for invasive fungal rhinosinusitis

ObjectivesTo evaluate surgical outcomes of invasive fungal rhinosinusitis Materials and methodsThe National Inpatient Sample Database (2000–2015 Q3) was queried for patients with a diagnosis of aspergillosis and/or mucormycosis and a diagnosis of acute sinusitis using the International Classification of Diseases, Ninth Edition. Factors associated with inpatient mortality were then identified with multivariate logistic regression. Results514 adult patients with a median age of 57.0 years were identified, of which 231 (44.9 %) underwent sinus surgery. Surgical patients had a longer length of stay (17.0 vs 9.0 days, p < 0.001) and higher total charges ($139,762.00 vs $57,945.00, p < 0.001). The number of sinus procedures was associated with reduced odds of inpatient mortality (OR 0.69; p < 0.001) in multivariate analysis. Hypertension (OR 0.34, p = 0.002) and chronic kidney disease (OR 0.23, p = 0.034) were associated with reduced odds of inpatient mortality. Total number of procedures (OR 1.24; p = 0.002), mucormycosis (OR 2.75, p = 0.002), age (OR 1.03, p = 0.006) and acid-base disorders (OR 2.85, p = 0.012) were associated with increased odds of inpatient mortality. ConclusionThis represents the first large scale study to evaluate outcomes for invasive fungal rhinosinusitis. These findings suggest the odds of inpatient mortality decrease with greater extent of sinus surgery performed. The potentially protective roles of hypertension and chronic kidney disease should be evaluated in future research.

Enzalutamide Prolonged the Duration of Drug Use in Comparison to Abiraterone Acetate and Cabazitaxel after Upfront Docetaxel: A Large Japanese Database Study.

In the United States, a total of 268,490 men were found to have prostate cancer in 2022, thus making it the most common cancer in men, accounting for 27% of all cancers in the male population. Among all cancers in men, it was the fifth leading cause of death, with 34,500 deaths and a mortality rate of 11%. In 2019, the total number of cases was 94,748, making it the leading cancer in males, accounting for 11% of all male cancers. In terms of mortality, it ranked seventh, with 13,217 deaths and a mortality rate of 1.6%. However, new treatment options for metastatic castration-sensitive prostate cancer (mCSPC) have emerged. Docetaxel has been shown to be effective for both mCSPC and castration-resistant prostate cancer (CRPC). Upfront docetaxel has not been approved in Japan, nor has it been validated in large-scale studies. Furthermore, several agents can be used after docetaxel treatment, but it is unclear which is the most effective. We used a large Japanese health insurance database to determine which agent would be the most effective as a next-line therapy in patients who had received docetaxel. We used data from medical institutions using the Diagnosis Procedure Combination (DPC), which provides a comprehensive evaluation of medical classifications. The Medical Data Vision database covers approximately 23% of DPC hospitals in Japan. This study analyzed 2938 patients with mCSPC who received docetaxel, followed by CRPC, between April 2008 and December 2021. The study focused on three agents: enzalutamide, abiraterone acetate, and cabazitaxel. Other agents were excluded due to the small number of patients. The following data were analyzed: age, date of CRPC diagnosis, presence of bone metastasis, drug type, and prognosis. This study included 1997 patients with CRPC after upfront docetaxel therapy for mCSPC (enzalutamide [ENZ] group, n = 998; abiraterone acetate [ABI] group, n = 617; and cabazitaxel [CBZ] group, n = 382). The overall survival (OS) time from drug initiation was 456 days in the enzalutamide group, which was significantly longer than that in the cabazitaxel group (p = 0.017, HR 0.94) (ENZ: ABI p = 0.54, HR 0.94; ABI: CBZ p = 0.14, HR 0.75). OS was also compared for the third-line drug in the group that received enzalutamide as the second-line drug, the group that used abiraterone acetate as the third-line drug (ENZ-ABI group), and the group that used abiraterone acetate as the second-line drug. OS from the start of the third-line drug was compared between the ENZ-ABI group and the ABI-ENZ group, which received enzalutamide as the third-line drug, but showed no significant difference (269 vs. 281 days, p = 0.85; HR 1.03). ENZ was shown to prolong OS relative to cabazitaxel after the cessation of docetaxel. ENZ was associated with a longer duration of drug use than ABI and CBZ.

RFMix-reader: Accelerated reading and processing for local ancestry studies.

Local ancestry inference is a powerful technique in genetics, revealing population history and the genetic basis of diseases. It is particularly valuable for improving eQTL discovery and fine-mapping in admixed populations. Despite the widespread use of the RFMix software for local ancestry inference, large-scale genomic studies face challenges of high memory consumption and processing times when handling RFMix output files. Here, I present RFMix-reader, a new Python-based parsing software, designed to streamline the analysis of large-scale local ancestry datasets. This software prioritizes computational efficiency and memory optimization, leveraging GPUs when available for additional speed boosts. By overcoming these data processing hurdles, RFMix-reader empowers researchers to unlock the full potential of local ancestry data for understanding human health and health disparities. RFMix-reader is freely available on PyPI at https://pypi.org/project/RFMix-reader/, implemented in Python 3, and supported on Linux, Windows, and Mac OS.

Large-scale study of blood markers in equine atypical myopathy reveals subclinical poisoning and advances in diagnostic and prognostic criteria

Equine atypical myopathy (AM) is a severe rhabdomyolysis syndrome primarily caused by hypoglycin A (HGA) and methylenecyclopropylglycine protoxins. This study aimed to refine diagnostic and prognostic criteria for AM while exploring apparently healthy cograzers. Blood samples from 263 horses, including AM cases (n= 95), cograzers (n= 73), colic horses (n= 19), and controls (n= 76), were analyzed for HGA, its toxic metabolite, and acylcarnitines profile. Diseased horses exhibited alterations in acylcarnitines that strongly distinguished them from controls and colic horses. Regression analyses identified distinct acylcarnitines profiles among groups, with cograzers showing intermediate alterations. Age and gelding status emerged as protective factors against AM. Furthermore, serum acylcarnitines profiling was valuable in predicting AM survival, with isovaleryl-/2-methylbutyrylcarnitine (i.e., C5 acylcarnitine) showing promise as both a diagnostic and prognostic marker. Subclinical alterations in cograzers underscore a novel aspect: the presence of subclinical cases of AM.

Next-generation sequencing technology in cancer

Next-generation sequencing (NGS) technology has revolutionized cancer research and treatment by enabling comprehensive analysis of genetic mutations, alterations, and expression profiles. It allows for the identification of cancer-driving mutations, helping in the development of targeted therapies. NGS provides detailed insights into tumor heterogeneity, resistance mechanisms, and clonal evolution. Its high-throughput capacity facilitates large-scale studies, improving our understanding of cancer genomics. By enabling personalized treatment plans based on individual genetic profiles, NGS holds promise for more effective and tailored cancer therapies. Early reviews on cancer genomics often lacked comprehensive coverage of emerging technologies. They missed in-depth analysis of NGS advancements, their impact on cancer research, and clinical applications. The review addresses this gap by reviving a thorough examination of NGS methods, their role in identifying genetic mutations, and their potential in personalized cancer treatment, thus providing essential insights into the evolving landscape of cancer genomics. The article covers the advancements in technology and bioinformatic approaches for NGS data analysis. It delves into NGS applications in research and diagnostics, particularly for solid cancer diagnosis. The review highlights specific cancer types, including hereditary breast cancer, melanoma, prostate cancer, thyroid cancer, lung cancer, and colorectal cancer. It explores NGS contribution in understanding the genetic basis of these cancers and its potential for enhancing personalized diagnosis and treatment strategies. This review rectifies early lacunas by providing a comprehensive and updated examination of NGS technology, addressing gaps in previous analyses and emphasizes bioinformatic approaches for NGS data analysis, crucial for interpreting vast genomic data accurately. The review meets the current need for a thorough understanding of NGS’s role in personalized cancer treatment and research.

Soft skills: students and employers crave

This study focuses on soft skills – over-professional competencies that are assessed on a par with professional competencies in today’s world, including for employment purposes. At ITMO University these skills are taught as a separate block of compulsory subjects for students’ choice. The aim of the research was to find out whether teaching soft skills meets the requirements of their future employers. For this purpose, an analysis of vacancies on a popular job search platform was conducted, followed by a public opinion survey of both students and employers. A large-scale study of graduates’ experiences and the labor market in Russia and the Northwestern Federal District in particular was conducted. All the results of the three phases of the work were used to draw conclusions about the development of the study and the application of the results. In general, it was shown that the trajectory of learning and development of soft skills in students should be supported, and future employers appreciate this experience in actual work.

Empowering the rapid authentication of the botanical origin of monofloral honey by coated blade spray mass spectrometry (CBS-MS)

In the quest for a rapid and cost-effective tool for determining the botanical origin of monofloral honey, the analytical capabilities of coated blade spray mass spectrometry (CBS-MS) were investigated. To this aim, the chemical profiles of 64 honey samples from seven different botanical origins (acacia, dandelion, chestnut, rhododendron, citrus, sunflower, and linden) were captured by the absorbent of the coated blades and then analyzed by mass spectrometry. An exploratory analysis was performed by principal component analysis (PCA) to generate a graphical representation of the CBS-MS data that allows the discovery of patterns, outliers, or relations between types of honey in an unsupervised manner. Additionally, the performances of four different classification algorithms (least absolute shrinkage and selection operator (LASSO), random forest (RF), and neural network (NNET) partial least squares discriminant analysis (PLS-DA)) were built up and compared. The performances of the four classifiers were verified by a 50 times-repeated, 5-fold-cross-validation and permutation test. Although all classifiers performed well, the RF showed significantly higher performances in cross-validation (with area under the curve (AUC) of 0.99, overall accuracy 0.94, Kappa 0.93, sensitivity 0.94, and specificity 0.99). Moreover, the permutation tests showed the models were not overfitted. Finally, to determine the molecular identities of the ions that most contribute to the classification, extracts from the same honey samples were prepared, analyzed by liquid chromatography coupled to high resolution tandem mass spectrometry (LC-HRMS/MS), and the most significant features were annotated. This proof-of-principle work warrants a future large-scale study to validate and challenge this CBS-MS-based method with a greater number of honeys from different years and geographical origins.

The Effort-Reward Imbalance Questionnaire for Teachers: Psychometric Properties Using the Bifactor ESEM Framework

This study is aimed at validating the French version of the Effort-Reward Imbalance Questionnaire for Teachers. The instrument was pretested before being administered in a large-scale study with elementary school teachers. Dimensionality of the instrument was examined using the bifactor exploratory structural equation modeling (ESEM) framework. The bifactor ESEM model showed the best fitting indices and parameters. Importantly, results suggested the existence of a continuum for ERI data concerning elementary teachers. The instrument showed concurrent validity with several measures of mental health, job satisfaction and work-life balance.

Improved Goodness of Fit Procedures for Structural Equation Models

We propose new ways of robustifying goodness-of-fit tests for structural equation modeling under non-normality. These test statistics have limit distributions characterized by eigenvalues whose estimates are highly unstable and biased in known directions. To take this into account, we design model-based trend predictions to approximate the population eigenvalues. We evaluate the new procedures in a large-scale simulation study with three confirmatory factor models of varying size (10, 20, or 40 manifest variables) and six non-normal data conditions. The eigenvalues in each simulated dataset are available in a database. Some of the new procedures markedly outperform presently available methods. We demonstrate how the new tests are calculated with a new R package and provide practical recommendations.

A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.

A Large-Scale Cross-Sectional Study On Respiratory Health, Lung Function Impairment, And Radiological Assessment Of Stone Crushing Workers In Pakistan

A Large-Scale Cross-Sectional Study On Respiratory Health, Lung Function Impairment, And Radiological Assessment Of Stone Crushing Workers In Pakistan

Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain

Drug treatments for pain often do not outperform placebo, and a better understanding of placebo mechanisms is needed to improve treatment development and clinical practice. In a large-scale fMRI study (N = 392) with pre-registered analyses, we tested whether placebo analgesic treatment modulates nociceptive processes, and whether its effects generalize from conditioned to unconditioned pain modalities. Placebo treatment caused robust analgesia in conditioned thermal pain that generalized to unconditioned mechanical pain. However, placebo did not decrease pain-related fMRI activity in brain measures linked to nociceptive pain, including the Neurologic Pain Signature (NPS) and spinothalamic pathway regions, with strong support for null effects in Bayes Factor analyses. In addition, surprisingly, placebo increased activity in some spinothalamic regions for unconditioned mechanical pain. In contrast, placebo reduced activity in a neuromarker associated with higher-level contributions to pain, the Stimulus Intensity Independent Pain Signature (SIIPS), and affected activity in brain regions related to motivation and value, in both pain modalities. Individual differences in behavioral analgesia were correlated with neural changes in both modalities. Our results indicate that cognitive and affective processes primarily drive placebo analgesia, and show the potential of neuromarkers for separating treatment influences on nociception from influences on evaluative processes.

Immigrant and Racialized Populations' Cumulative Exposure to Discrimination and Associations with Long-Term Conditions During COVID-19: A Nationwide Large-Scale Study in Canada.

This cross-sectional study examines associations between the race-migration nexus, cumulative exposure to intersectional discrimination (2years before and during the COVID-19 pandemic), and long-term conditions. A nationwide self-selected sample (n = 32,605) was obtained from a Statistics Canada's Crowdsourcing online survey from August 4 to 24, 2020. Binary and multinomial logistic regression models were used to examine disparities by the race-migration nexus in accumulative experiences of multiple situations- and identity-based discrimination and their relations with long-term conditions, after controlling for sociodemographic covariates. During the pandemic, discrimination stemming from racialization - such as race/skin color (24.4% vs 20.1%) and ethnicity/culture (18.5% vs 16.5%) - and cyberspace (34.1% vs 29.8%) exaggerated relative to pre-pandemic period; compared to Canadian-born (CB) whites, the likelihood of experiencing multiple discrimination increased alongside the domains of discrimination being additively intersected (e.g., identity-based, all p's < 0.001) among CB racialized minorities (ORs 2.08 to 11.78), foreign-born (FB) racialized minorities (ORs 1.99 to 12.72), and Indigenous populations (ORs 1.62 to 8.17), except for FB whites (p > 0.01); dose-response relationships were found between cumulative exposure to multiple discrimination and odds of reporting long-term conditions (p's < 0.001), including seeing (ORs 1.63 to 2.99), hearing (ORs 1.83 to 4.45), physical (ORs 1.66 to 3.87), cognitive (ORs 1.81 to 3.79), and mental health-related impairments (ORs 1.82 to 3.41). Despite a universal health system, Canadians who are CB/FB racialized and Indigenous populations, have a higher prevalence of cumulative exposure to different aspects of discrimination that are associated with multiple long-term conditions during the COVID-19 pandemic. Equity-driven solutions are needed to tackle upstream determinants of health inequalities through uprooting intersectional discrimination faced by racialized and immigrant communities.

Risks of KD and MIS-C in pediatric patients with COVID-19 infection: A TriNetX based cohort study.

The associations of COVID-19 with Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) remain unclear. Few large-scale studies have estimated the cumulative incidence of MIS-C and KD after COVID-19 in children. Data were obtained from TriNetX. After propensity score matching was completed, data from 258,645 patients with COVID-19 (COVID-19 group) and 258,645 patients without COVID-19 (non-COVID-19 group) were analyzed using Cox regression. Hazard ratio (HR), 95% confidence interval (CI), and cumulative incidence of MIS-C and KD were calculated for both groups. Stratified analysis was performed to validate the results. After matching for age at baseline and sex, the risks of MIS-C and KD were higher in the COVID-19 group than in the non-COVID-19 group (HR: 3.023 [95% CI: 2.323 to 3.933] and 1.736 [95% CI: 1.273 to 2.369], respectively). After matching for age at baseline, sex, race, ethnicity, and comorbidities, the risks of MIS-C and KD remained significantly higher in the COVID-19 group than in the non-COVID-19group (HR: 2.899 [95% CI: 2.173 to 3.868] and 1.435 [95% CI: 1.030 to 2.000]). When stratified by age, the risk of MIS-C was higher in the COVID-19 group-for patients aged > 5 years and ≤ 5 years (HR: 2.399 [95% CI: 1.683 to 3.418] and 2.673 [95% CI: 1.737 to 4.112], respectively)-than in the non-COVID-19 group. However, the risk of KD was elevated only in patients aged ≤ 5 years (HR: 1.808; 95% CI: 1.203 to 2.716). When stratified by COVID-19 vaccination status, the risks of MIS-C and KD were elevated in unvaccinated patients with COVID-19 (HR: 2.406 and 1.835, respectively). Patients with COVID-19 who are aged < 18 and ≤ 5 years have increased risks of MIS-C and KD, respectively. Further studies are required to confirm the role of COVID-19 in the pathogenesis of MIS-C and KD.

Prevalence and factors associated with antenatal depressive symptoms across trimesters: a study of 110,584 pregnant women covered by a mobile app-based screening programme in Shenzhen, China

BackgroundAntenatal depression is a significant public health issue affecting pregnant women both globally and in China. Using data from a mobile app-based screening programme, this study explored the prevalence and factors associated with antenatal depressive symptoms across different trimesters in Shenzhen.MethodsA retrospective cross-sectional study was conducted on pregnant women who gave birth in any hospital in Shenzhen between July 2021 and May 2022 and underwent depression screening using an official maternal and infant health mobile app at least once during pregnancy. Depressive symptoms were evaluated using the 9-item Patient Health Questionnaire (PHQ-9), with cut-off scores of 5 and 10 for mild and high level of symptoms, respectively. The prevalence for each trimester was determined by calculating the proportion of women scoring 5 or higher. A variety of sociodemographic, obstetric, psychological, and lifestyle factors were assessed for their association with depressive symptoms. Chi-square test and multivariate logistic regression were performed to identify significant predictors.ResultsA total of 110,584 pregnant women were included in the study, with an overall prevalence of depressive symptoms of 18.0% and a prevalence of high-level symptoms of 4.2%. Depressive symptoms were most prevalent in the first trimester (10.9%) and decreased in the second (6.2%) and third trimesters (6.3%). Only a small proportion (0.4%) of women showed persistent depressive symptoms across all trimesters. Anxiety symptoms in early pregnancy emerged as the most significant predictor of depressive symptoms. Other factors linked to an increased risk throughout pregnancy include lower marital satisfaction, living with parents-in-law, experience of negative life events, as well as drinking before and during pregnancy. Factors associated with a reduced risk throughout pregnancy include multiparity and daily physical activity.ConclusionsThis large-scale study provides valuable insights into the prevalence and factors associated with antenatal depressive symptoms in Shenzhen. The findings underscore the need for targeted interventions for high-risk groups and the integration of mental health care into routine antenatal services. Continuous, dynamic monitoring of depressive symptoms for pregnant women and ensuring at-risk women receive comprehensive follow-up and appropriate psychological or psychiatric care are crucial for effectively addressing antenatal depression and improving maternal and infant health outcomes.

Results from a multicenter retrospective study of transradial iliac artery stenting in Japan.

Large-scale multicenter studies demonstrating the safety and effectiveness of transradial iliac artery stenting are lacking. We evaluated the data from a multicenter database in Japan. Transradial iliac artery stenting was performed on 115 lesions in 105 patients. The approach site was determined at the discretion of the operator. Patients with scheduled multiple sheath insertions for the bidirectional approach were excluded. Clinical data were retrospectively analyzed. The average age of this cohort was 71.1 ± 8.3years. Eighty-six patients (81.9%) were male. Diabetes mellitus, hypertension, dyslipidemia, and smoking habit were present in 39 (37.1%), 84 (80.0%), 69 (65.7%), and 78 patients (74.3%), respectively. Rutherford classifications 1, 2, 3, 4, and 5 comprised 40 (34.8%), 42 (36.5%), 28 (24.3%), 3 (2.6%), and 2 (1.7%) lesions, respectively, while Trans-Atlantic Inter-Society Consensus II classifications A, B, C, and D comprised 74 (64.3%), 21 (18.3%), 15 (13.0%), and 5 (4.3%), respectively. Twenty-seven lesions (23.5%) had chronic total occlusion. All lesions were successfully treated with 141 stents. Four patients (3.8%) required additional puncture of the common femoral artery for successful stent implantation. The ankle-brachial index significantly improved from 0.65 ± 0.17 to 0.95 ± 0.15 (P < 0.0001). None of the patients experienced any procedural or access site-related complications. Asymptomatic radial artery occlusion was observed in three cases (2.9%) after the procedure. There were no target lesion revascularizations or complications at 1month. Compared to the traditional transfemoral approach, transradial iliac artery stenting is safe and feasible without any specific complications in carefully selected patients.

ScSemiProfiler: Advancing large-scale single-cell studies through semi-profiling with deep generative models and active learning

Single-cell sequencing is a crucial tool for dissecting the cellular intricacies of complex diseases. Its prohibitive cost, however, hampers its application in expansive biomedical studies. Traditional cellular deconvolution approaches can infer cell type proportions from more affordable bulk sequencing data, yet they fall short in providing the detailed resolution required for single-cell-level analyses. To overcome this challenge, we introduce “scSemiProfiler”, an innovative computational framework that marries deep generative models with active learning strategies. This method adeptly infers single-cell profiles across large cohorts by fusing bulk sequencing data with targeted single-cell sequencing from a few rigorously chosen representatives. Extensive validation across heterogeneous datasets verifies the precision of our semi-profiling approach, aligning closely with true single-cell profiling data and empowering refined cellular analyses. Originally developed for extensive disease cohorts, “scSemiProfiler” is adaptable for broad applications. It provides a scalable, cost-effective solution for single-cell profiling, facilitating in-depth cellular investigation in various biological domains.

Progress of clinical research on fractional laser treatment of androgenetic alopecia: A review article.

Androgenetic alopecia (AGA) is a prevalent form of hair loss that affects both men and women, severely impacting patients' quality of life. Traditional treatments include oral medications, topical medications, and hair transplantation, but these methods have certain side effects and limitations. How to safely effectively and maximally promote hair growth has been a key issue in the treatment of AGA. In recent years, fractionated laser therapy, as a noninvasive method, has gradually gained attention due to its minimally invasive and highly effective nature. In this paper, we summarized the studies related to fractional laser treatment of AGA in the past 15 years, and discussed its therapeutic mechanism, clinical effect, future development direction, and advantages and disadvantages compared with traditional treatment methods in the treatment of AGA. An extensive literature search was conducted using PubMed, Google, Google Scholar, Embase, and Scopus. All available articles studying fractional laser treatment of AGA were compiled in March 2024. Titles and abstracts were then screened for relevance and thoroughly examined for patient clinical outcomes. Prospective clinical trials, retrospective chart reviews, case series, and individual case reports were included in the literature review. Fractional laser treatment of AGA showed remarkable efficacy and high safety. Compared with traditional treatments, fractional laser has the advantages of minimally invasive, quick recovery, fewer side effects, and a wide range of population applicability, providing an effective treatment option for AGA patients. Further large-scale clinical studies will help optimize the laser parameters and treatment settings to improve the therapeutic effect.

Respiratory diseases and gut microbiota: relevance, pathogenesis, and treatment.

Preclinical evidence has firmly established a bidirectional interaction among the lung, gut, and gut microbiome. There are many complex communication pathways between the lung and intestine, which affect each other's balance. Some metabolites produced by intestinal microorganisms, intestinal immune cells, and immune factors enter lung tissue through blood circulation and participate in lung immune function. Altered gut-lung-microbiome interactions have been identified in rodent models and humans of several lung diseases such as pulmonary fibrosis, chronic obstructive pulmonary disease, lung cancer, asthma, etc. Emerging evidence suggests that microbial therapies can prevent and treat respiratory diseases, but it is unclear whether this association is a simple correlation with the pathological mechanisms of the disease or the result of causation. In this review, we summarize the complex and critical link between the gut microbiota and the lung, as well as the influence and mechanism of the gut microbiota on respiratory diseases, and discuss the role of interventions such as prebiotics and fecal bacteria transplantation on respiratory diseases. To provide a reference for the rational design of large-scale clinical studies, the direct application of microbial therapy to respiratory-related diseases can reduce the incidence and severity of diseases and accompanying complications.