The coronal plane alignment of the knee classification does not correlate with the functional knee phenotype classification

PURPOSE

It is now well established that the coronal anatomy of the lower limb is highly variable both in non-arthritic subjects and subjects undergoing total knee arthroplasty (TKA). Two new classifications were recently described independently, but never compared: functional knee phenotypes classification and coronal plane alignment of the knee (CPAK) classification. The hypothesis of this study was that there was a significant difference between the values of the hip-knee-ankle angle (HKA) and the arithmetic hip-knee-ankle angle (aHKA) measures in the same patient at the time of TKA.

METHODS

Five hundred and twenty cases were randomly selected among patients operated on for a TKA with navigation assistance. Anatomical parameters were collected during surgery by a navigation system, and the corresponding data of the CPAK classification were calculated. The numerical values of measured HKA and aHKA in the same patient were compared.

RESULTS

The measured HKA had a mean of 3.0° varus (standard deviation of 6.0°). The calculated aHKA had a mean of 1.8° varus (standard deviation 4.8°). There was a significant difference between the values of the two measurements in the same subject (p = 0.005) and a weak negative correlation between the values of the two measurements in the same subject. In addition, there was no relationship between HKA values and joint line obliquity values or CPAK class.

CONCLUSION

A significant difference and a weak correlation between the values of the HKA and aHKA measures in the same subject were observed. The two analysis techniques used provide different information, and their correlation is only partial. These two techniques therefore appear to be complementary rather than exclusive. The clinical relevance of using these techniques during TKA remains unknown.

LEVEL OF EVIDENCE

III.

Variation of asthma characteristics with atopic march, gastroesophageal reflux, and ENT pathologies

BACKGROUND

Asthma is a significant cause of morbidity and mortality in the pediatric population. Atopic dermatitis (AD) is often the first step in the atopic march leading to the development of asthma, allergic rhinitis, and food allergies in the future.

OBJECTIVE

This study aimed to evaluate the severity differences between asthmatic children with and without atopic march in addition to characteristics of asthmatic patients with GER and ear-nose-and-throat (ENT) pathologies.

METHODS

A total of 616 pediatric asthmatic patients were enrolled. The study subjects were divided into two groups. Group A included asthmatic children with a history of AD. Group B had asthmatic children without a history of AD. Multiple factors were studied, including sex, race/ethnicity, family history of atopy, asthma severity, allergic rhinitis, food allergies, smoke exposure, ear-nose-and-throat (ENT) pathologies, gastroesophageal reflux (GER), frequency of systemic steroid use, and hospital admission rates.

RESULTS

Our results revealed that patients with atopic march are at risk of developing a higher severity of asthma, resulting in increased morbidity. In contrast, asthmatic patients without atopic march had a milder asthma severity, less need for steroids, and fewer hospital admissions. A higher prevalence of ENT pathologies and/or GER existed among asthmatic children without atopic march.

CONCLUSION

Our findings suggest that patients with atopic march should be expected to exhibit a more severe phenotype of asthma with increased asthma morbidity. Asthmatic patients without atopic march had a milder asthma phenotype, less need for steroids, and fewer hospital admissions. A higher prevalence of ENT pathologies and/or GER existed among asthmatic children without atopic march.

Comprehensive Characterization of Difficult-to-Treat Asthma Reveals Near Absence of T2-Low Status

BACKGROUND

Asthma is conventionally stratified as type 2 inflammation (T2)-high or T2-low disease. Identifying T2 status has therapeutic implications for patient management, but a real-world understanding of this T2 paradigm in difficult-to-treat and severe asthma remains limited.

OBJECTIVES

To identify the prevalence of T2-high status in difficult-to-treat asthma patients using a multicomponent definition and compare clinical and pathophysiologic characteristics between patients classified as T2-high and T2-low.

METHODS

We evaluated 388 biologic-naive patients from the Wessex Asthma Cohort of difficult asthma (WATCH) study in the United Kingdom. Type 2-high asthma was defined as 20 parts per billion or greater FeNO , 150 cells/μL or greater peripheral blood eosinophils, the need for maintenance oral corticosteroids, and/or clinically allergy-driven asthma.

RESULTS

This multicomponent assessment identified T2-high asthma in 93% of patients (360 of 388). Body mass index, inhaled corticosteroid dose, asthma exacerbations, and common comorbidities did not differ by T2 status. Significantly worse airflow limitation was found in T2-high compared with T2-low patients (FEV1/FVC 65.9% vs 74.6%). Moreover, 75% of patients defined as having T2-low asthma had raised peripheral blood eosinophils within the preceding 10 years, which left only seven patients (1.8%) who had never had T2 signals. Incorporation of sputum eosinophilia 2% or greater into the multicomponent definition in a subset of 117 patients with induced sputum data similarly found that 96% (112 of 117) met criteria for T2-high asthma, 50% of whom (56 of 112) had sputum eosinophils 2% or greater.

CONCLUSIONS

Almost all patients with difficult-to-treat asthma have T2-high disease; less than 2% of patients never display T2-defining criteria. This highlights a need to assess T2 status comprehensively in clinical practice before labeling a patient with difficult-to-treat asthma as T2-low.

Ageing-associated phenotypes in mice

Ageing is a continuous process in life featuring progressive damage accumulation that leads to physiological decline, functional deterioration and ultimately death of an organism. Based on the relatively close anatomical and physiological similarity to humans, the mouse has been proven as a valuable model organism in ageing research over the last decades. In this review, we survey methods and tools currently in use to assess ageing phenotypes in mice. We summarize a range of ageing-associated alterations detectable at two major levels of analysis: (1) physiology and pathophysiology and (2) molecular biomarkers. Age-sensitive phenotypes provided in this article may serve to inform future studies targeting various aspects of organismal ageing in mice. In addition, we discuss conceptual and technical challenges faced by previous ageing studies in mice and, where possible, provide recommendations on how to resolve some of these issues.

Childhood asthma phenotypes and endotypes: a glance into the mosaic

BACKGROUND

Asthma is an inflammatory lung disease that constitutes the most common noncommunicable chronic disease in childhood. Childhood asthma shows large heterogeneity regarding onset of disease, symptoms, severity, prognosis, and response to therapy.

MAIN BODY

Evidence suggests that this variability is due to distinct pathophysiological mechanisms, which has led to an exhaustive research effort to understand and characterize these distinct entities currently designated as "endotypes." Initially, studies focused on identifying specific groups using clinical variables yielding different "clinical phenotypes." In addition, the identification of specific patterns based on inflammatory cell counts and cytokine data has resulted in "inflammatory endotypes." More recently, an increasing number of molecular data from high-throughput technology ("omics" data) have allowed to investigate more complex "molecular endotypes."

CONCLUSION

A better definition and comprehension of childhood asthma heterogeneity is key for improving diagnosis and treatment. This review aims at summarizing the current knowledge on this topic and discusses some limitations in their application as well as recommendations for future studies.

Y Chromosome Genomic Variations and Biological Significance in Human Diseases and Health

The Y chromosome is a haploid genome unique to males with no genes essential for life. It is easily transmitted to the next generation without being repaired by recombination, even if a major genomic structural alteration occurs. On the other hand, the Y chromosome genome is basically a region transmitted only from father to son, reflecting a male-specific inheritance between generations. The Y chromosome exhibits genomic structural differences among different ethnic groups and individuals. The Y chromosome was previously thought to affect only male-specific phenotypes, but recent studies have revealed associations between the Y chromosomes and phenotypes common to both males and females, such as certain types of cancer and neuropsychiatric disorders. This evidence was discovered with the finding of the mosaic loss of the Y chromosome in somatic cells. This phenomenon is also affected by environmental factors, such as smoking and aging. In the past, functional analysis of the Y chromosome has been elucidated by assessing the function of Y chromosome-specific genes and the association between Y chromosome haplogroups and human phenotypes. These studies are currently being conducted intensively. Additionally, the recent advance of large-scale genome cohort studies has increased the amount of Y chromosome genomic information available for analysis, making it possible to conduct more precise studies of the relationship between genome structures and phenotypes. In this review, we will introduce recent analyses using large-scale genome cohort data and previously reported association studies between Y chromosome haplogroups and human phenotypes, such as male infertility, cancer, cardiovascular system traits, and neuropsychiatric disorders. The function and biological role of the Y chromosome in human phenotypes will also be discussed.

Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records

BACKGROUND

Acute Kidney Injury (AKI) is a multifactorial condition which presents a substantial burden to healthcare systems. There is limited evidence on whether it is seasonal. We sought to investigate the seasonality of AKI hospitalisations in England and use unsupervised machine learning to explore clustering of underlying comorbidities, to gain insights for future intervention.

METHODS

We used Hospital Episodes Statistics linked to the Clinical Practice Research Datalink to describe the overall incidence of AKI admissions between 2015 and 2019 weekly by demographic and admission characteristics. We carried out dimension reduction on 850 diagnosis codes using multiple correspondence analysis and applied k-means clustering to classify patients. We phenotype each group based on the dominant characteristics and describe the seasonality of AKI admissions by these different phenotypes.

RESULTS

Between 2015 and 2019, weekly AKI admissions peaked in winter, with additional summer peaks related to periods of extreme heat. Winter seasonality was more evident in those diagnosed with AKI on admission. From the cluster classification we describe six phenotypes of people admitted to hospital with AKI. Among these, seasonality of AKI admissions was observed among people who we described as having a multimorbid phenotype, established risk factor phenotype, and general AKI phenotype.

CONCLUSION

We demonstrate winter seasonality of AKI admissions in England, particularly among those with AKI diagnosed on admission, suggestive of community triggers. Differences in seasonality between phenotypes suggests some groups may be more likely to develop AKI as a result of these factors. This may be driven by underlying comorbidity profiles or reflect differences in uptake of seasonal interventions such as vaccines.

Evaluating the Impact of Obesity and Different Metabolic Statuses on the Prognosis of Hospitalized Patients with Inflammatory Bowel Disease: A Cohort Study

INTRODUCTION

Obesity is associated with an increased risk of inflammatory bowel disease (IBD), whereas not all obese individuals have the same effect. In individuals with obesity, the role of metabolic status in the readmission of IBD remains unclear. Our study aimed to evaluate the association between different obesity metabolic phenotypes and the prognosis of IBD patients.

METHODS

We conducted a longitudinal cohort study using Nationwide Readmissions Database (NRD) (2018 sample). Out of 12,928,231 discharge records, 63,748 records with a discharge diagnosis of IBD were identified for analysis. Cox proportional hazard ratio (HR) with 95% confidence interval (CI) was calculated, adjusting for potential confounders.

RESULTS

During a 180-day follow-up in IBD patients with different obesity metabolic phenotypes, all-cause readmission rate, inpatient mortality rate, unplanned readmission rate, total charge, hospitalized length of stay were statistically different (all p < 0.001). After multivariate Cox regression analysis, IBD patients with metabolically unhealthy nonobese (MUNO) had higher risk of readmission (all-cause and unplanned) (HR 1.04, 95% CI: 1.00-1.08 and HR 1.06, 95% CI: 1.02-1.10), and those with metabolically unhealthy obesity (MUO) had higher risk of unplanned readmission (HR 1.08, 95% CI: 1.02-1.15). In subgroup analysis, both the MUNO group and MUO group had higher risk of readmission (all-cause and unplanned) in the ulcerative colitis (UC) subgroup, but only the MUNO group had higher risk of readmission (all-cause and unplanned) (HR 1.05, 95% CI: 1.00-1.10 and HR 1.06, 95% CI: 1.01-1.12) in the Crohn's disease (CD) subgroup.

CONCLUSION

Metabolic abnormalities were associated with an increased risk of readmission in patients with IBD, regardless of obesity.

Patient profiles in heart failure with reduced ejection fraction: Prevalence, characteristics, treatments and outcomes in a real-world heart failure population

AIMS

The Heart Failure Association of the European Society of Cardiology has recently proposed to optimize guideline-directed medical treatments according to patient's profiles. The aim of this analysis was to investigate prevalence/characteristics/treatments/outcomes for individual profiles.

METHODS AND RESULTS

Patients with heart failure (HF) with reduced ejection fraction (HFrEF) enrolled in the Swedish Heart Failure Registry (SwedeHF) between 2013 and 2021 were considered. Among 108 profiles generated by combining different strata of renal function (by estimated glomerular filtration rate [eGFR]), systolic blood pressure (sBP), heart rate, atrial fibrillation (AF) status and presence of hyperkalaemia, 93 were identified in our cohort. Event rates for a composite of cardiovascular (CV) mortality or first HF hospitalization were calculated for each profile. The nine most frequent profiles accounting for 70.5% of the population had eGFR 30-60 or ≥60 ml/min/1.73 m2 , sBP 90-140 mmHg and no hyperkalaemia. Heart rate and AF were evenly distributed. The highest risk of CV mortality/first HF hospitalization was observed in those with concomitant eGFR 30-60 ml/min/1.73 m2 and AF. We also identified nine profiles with the highest event rates, representing only 5% of the study population, characterized by no hyperkalaemia, even distribution among the sBP strata, predominance of eGFR <30 ml/min/1.73 m2 and AF. The three profiles with eGFR 30-60 ml/min/1.73 m2 also showed sBP <90 mmHg.

CONCLUSIONS

In a real-world cohort, most patients fit in a few easily identifiable profiles; the nine profiles at highest risk of mortality/morbidity accounted for only 5% of the population. Our data might contribute to identifying profile-tailored approaches to guide drug implementation and follow-up.

Treatment of Acne with Isotretinoin Should Be Avoided in Patients with Hidradenitis Suppurativa "Conglobata Phenotype"

BACKGROUND

Acne conglobata (AC) and nodulocystic acne have long been confused clinically, despite the presentation and the response to treatment being different. AC and hidradenitis suppurativa (HS) resemble each other; a subtype of HS called "conglobata phenotype" has recently been reported in a large Dutch cohort. Acne vulgaris and HS are often associated. Isotretinoin is typically ineffective in treating HS and may even aggravate it, but it is often indispensable in treating acne vulgaris.

OBJECTIVE

The aim of the study was to assess whether isotretinoin may be used safely in adults with both HS and acne vulgaris and when it might be contraindicated.

MATERIALS AND METHODS

Belgian HS patients from the European Registry for Hidradenitis Suppurativa Registry (ERHS) reporting a history of severe acne of the face and/or the back, and who have ever used isotretinoin for their acne, were all selected. Patients whose acne worsened on isotretinoin were compared to patients whose acne did not worsen (improvement or no change).

RESULTS

Among the 82 selected patients, 10 (12.2%) report that their acne was aggravated while taking isotretinoin, while 72 (87.8%) report that their acne was not aggravated on isotretinoin. Of the 10 HS patients whose acne worsened with isotretinoin, 9 (90%) were men (p = 0.04) and 8 (80%) were HS "conglobata phenotype" (p < 0.001). In contrast, 47 (65.3%) of the 72 patients whose acne did not worsen on isotretinoin belonged to the HS "regular phenotype" (p = 0.01). On multivariate analysis, the item most strongly associated with poor response to isotretinoin was the HS "conglobata phenotype," followed by body mass index (BMI) (worse response to isotretinoin if BMI >25 kg/m2). Additionally, of 26 patients who received isotretinoin while their HS had already started, only 6 (23.1%) reported isotretinoin effectiveness on their HS.

CONCLUSION

Subject to confirmation by larger studies, our study suggests that isotretinoin should be avoided in the treatment of acne in HS patients with the HS "conglobata phenotype," as it may worsen the acne, likewise being male or having a BMI above 25 seems to increase this risk of a bad therapeutic outcome. Patients with an HS "regular phenotype" appear to be at a reduced risk of isotretinoin treatment worsening their acne.

Delineation of the phenotypes and genotypes of facial infiltrating lipomatosis associated with PIK3CA mutations

BACKGROUND

Facial infiltrating lipomatosis (FIL) is a rare congenital disorder characterized by unilateral facial swelling, for which surgery is the prevailing therapeutic option. Several studies have shown that the development of FIL is closely associated with PIK3CA mutations. This study aimed to further identify rare clinical features and underlying molecular variants in patients with FIL.

RESULTS

Eighteen patients were included in this study, and all patients presented with infiltrating adipose tissues confirmed by magnetic resonance imaging. Macrodactyly, polydactyly, hemimegalencephaly and hemihyperplasia were also observed in patients with FIL. In total, eight different PIK3CA mutations were detected in tissues obtained from sixteen patients, including the missense mutations p.His1047Arg (n = 4), p.Cys420Arg (n = 2), p.Glu453Lys (n = 2), p.Glu542Lys (n = 2), p.Glu418Lys (n = 1), p.Glu545Lys (n = 1), and p.His1047Tyr (n = 1) and the deletion mutation p.Glu110del (n = 3). Furthermore, the GNAQ mutation p.Arg183Gln was detected in the epidermal nevus tissue of one patient. Imaging revealed that several patients carrying hotspot mutations had more severe adipose infiltration and skeletal deformities.

CONCLUSIONS

The abundant clinical presentations and genetic profiles of FIL make it difficult to treat. PIK3CA mutations drive the pathogenesis of FIL, and PIK3CA hotspot mutations may lead to more extensive infiltration of lipomatosis. Understanding the molecular variant profile of FIL will facilitate the application of novel PI3K-targeted inhibitors.

New insights on the effect of non-ferrous metal mining and smelting activities on microbial activity characteristics and bacterial community structure

Mining and smelting activities have brought potentially serious heavy metal(loid)s pollution to their surrounding locale. However, studies on microbial metabolic activities, community structure, and adaptation in soils proximal to non-ferrous metal mining and smelting areas are still lacking. Here the effects of biotic and abiotic characteristics of soil taken from sites surrounding inactive and active non-ferrous metal mine smelting facilities on microbial enzyme activity, microcalorimetry, and high-throughput sequencing of 16S rRNA gene barcoding were studied. Data indicated that the soils were heavily polluted by toxic metal(loid)s, of which As and Cd were the main contaminants. Microbial acid phosphatase activity and microcalorimetric total heat value were sensitive metabolic indicators in the studied areas. Actinobacteriota had the highest relative abundance, followed by Proteobacteria, Chloroflexi, and Acidobacteria. Microbial metabolic activity, bacterial community structure and phenotype varied between inactive and active sites (p < 0.05). Such analyses indicated that electrical conductivity, total As, Cu, and Mn contents, and bioavailable As, Cu, Cd, and Mn concentrations were key factors determining microbial activities, bacterial community structure, and phenotypes. Knowledge of microbial adaptation to heavy metal stressors is important for better understanding the aerial transfer of fugitive heavy metal(loid)s (and possibly microbes) and for designing future strategies for improved soil bioremediation.

HFrEF subphenotypes based on 4210 repeatedly measured circulating proteins are driven by different biological mechanisms

BACKGROUND

HFrEF is a heterogenous condition with high mortality. We used serial assessments of 4210 circulating proteins to identify distinct novel protein-based HFrEF subphenotypes and to investigate underlying dynamic biological mechanisms. Herewith we aimed to gain pathophysiological insights and fuel opportunities for personalised treatment.

METHODS

In 382 patients, we performed trimonthly blood sampling during a median follow-up of 2.1 [IQR:1.1-2.6] years. We selected all baseline samples and two samples closest to the primary endpoint (PEP; composite of cardiovascular mortality, HF hospitalization, LVAD implantation, and heart transplantation) or censoring, and applied an aptamer-based multiplex proteomic approach. Using unsupervised machine learning methods, we derived clusters from 4210 repeatedly measured proteomic biomarkers. Sets of proteins that drove cluster allocation were analysed via an enrichment analysis. Differences in clinical characteristics and PEP occurrence were evaluated.

FINDINGS

We identified four subphenotypes with different protein profiles, prognosis and clinical characteristics, including age (median [IQR] for subphenotypes 1-4, respectively:70 [64, 76], 68 [60, 79], 57 [47, 65], 59 [56, 66]years), EF (30 [26, 36], 26 [20, 38], 26 [22, 32], 33 [28, 37]%), and chronic renal failure (45%, 65%, 36%, 37%). Subphenotype allocation was driven by subsets of proteins associated with various biological functions, such as oxidative stress, inflammation and extracellular matrix organisation. Clinical characteristics of the subphenotypes were aligned with these associations. Subphenotypes 2 and 3 had the worst prognosis compared to subphenotype 1 (adjHR (95%CI):3.43 (1.76-6.69), and 2.88 (1.37-6.03), respectively).

INTERPRETATION

Four circulating-protein based subphenotypes are present in HFrEF, which are driven by varying combinations of protein subsets, and have different clinical characteristics and prognosis.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01851538https://clinicaltrials.gov/ct2/show/NCT01851538.

FUNDING

EU/EFPIA IMI2JU BigData@Heart grant n°116074, Jaap Schouten Foundation and Noordwest Academie.

Prevalence of heart failure phenotypes and current use of therapies in primary care: results from a nationwide study

AIMS

Heart failure (HF) is an increasing concern worldwide. A rising HF burden is expected due to the prospected future demographic changes with aging populations. Consequently, the long-term follow-up and treatment will be performed increasingly by primary care physicians in the future. Contemporary data on HF patients in primary care are needed to plan and ensure an effective and safe follow-up of future patients.

METHODS AND RESULTS

The electronic patient journals of 148 primary care clinics in Denmark were searched in a standardized manner to identify patients with HF [code K77 of the International Classification of Primary Care, Second Edition]. Prespecified variables including demographic information, clinical variables, co-morbidities, prescribed medications, and setting of follow-up were recorded. In total, 1111 patients were included in the study. The mean timepoint for the HF diagnosis was August 2018. In 95% of cases, the diagnosis of HF was made in a specialized setting. The echocardiogram data used for phenotyping were available in 1042 (94%) of the 1111 patients. HF with reduced ejection fraction (HFrEF) was present in 43%, recovered HFrEF in 31%, and HF with mildly reduced (HFmrEF) or preserved ejection fraction (HFpEF) in 26%. In patients with HFrEF or recovered HFrEF, fundamental treatments were prescribed in 86% for angiotensin converting enzyme inhibitor (ACEI), angiotensin receptor blocker (ARB), or angiotensin receptor neprilysin inhibitor (ARNI), in 82% for beta-blocker, in 38% for mineralocorticoid receptor antagonist (MRA), and in 12% for sodium-glucose co-transporter-2 inhibitor (SGLT2i). Older patients were treated to a significantly lesser extent than young patients for all drug classes [odds ratio (OR) point estimates 0.50 to 0.69, all P-values < 0.05]. In patients with HFmrEF or HFpEF, an ACEI, ARB, or ARNI was prescribed in 67%, beta-blocker in 67%, MRA in 22%, and SGLT2i in 7.4% with significantly lower probability of treatment compared to patients with HFrEF or recovered HFrEF [OR point estimates 0.33 to 0.57, all P-values < 0.05]. The setting of follow-up was available in 96% of patients. Irrespective of HF phenotype, follow-up was performed solely in primary care in 64%. These patients were generally treated to a lesser extent with HF therapies compared with patients where follow-up included specialized care, yet differences were generally small.

CONCLUSIONS

HFrEF is the most common phenotype of HF in primary care followed by recovered HFrEF and fundamental therapies are markedly underutilized. Initiatives to increase the use of recommended therapies are needed to improve the future care of patients with HF.

Clinical characteristics of phenotypes of fecal incontinence

PURPOSE

Fecal incontinence (FI) is common, but its etiology is complex with large knowledge gaps. Several phenotypes of FI are known, but the phenotype is often not decisive in the chosen therapy. In this study we aimed to assess the association of the clinical characteristics of patients with FI and the various phenotypes, in order to establish a targeted clinical treatment decision tree.

METHODS

We retrospectively studied the charts of patients with FI, who visited our institute from January 2018 until December 2020. Patients were divided into the following groups: passive fecal loss, urge incontinence, combined fecal incontinence with predominantly passive fecal loss, and combined fecal incontinence with predominantly urge incontinence. We compared the characteristics between the passive and urge incontinence groups, the passive  and combined mainly passive groups, and the urge and combined mainly urge groups.

RESULTS

Patients with passive incintinence were older, more often had a flaccid anus with presence of a mucosal prolapse, and had a lower resting pressure on anorectal manometry. Patients with urge incontinence were younger and more often had a history of birth trauma. The combined groups showed characteristics of both of the main types of FI.

CONCLUSION

Differentiating into phenotypes of FI can be clinically meaningful. The patient history and clinical judgement of the consulting specialist, rather than the physical characteristics, seem to be decisive in the categorization. Additional diagnostic testing can be helpful in complicated cases, but should not be used routinely.

Matrix Producing Cells Induce the Morphological Difference in the Bacillus subtilis Biofilm

There is a 'coffee ring' in the Bacillus subtilis biofilm center, and the colony biofilm morphologies are distinct inside and outside the 'coffee ring'. In this paper, we study this morphological difference and explain the reasons of the 'coffee ring' formation and further the causes to the morphological variation. We developed a quantitative method to characterize the surface morphology, the outer area is thicker than the inner area of the 'coffee ring', and the thickness amplitude in outer area is larger than inner area of the 'coffee ring'. We adopt a logistic growth model to obtain how the environmental resistance influence the colony biofilm thickness. Dead cells provide gaps for stress release and make folds formation in colony biofilm. we developed a technique for optical imaging and matching cells with the BRISK algorithm to capture the distribution and movement of motile cells and matrix producing cells in the colony biofilm. Matrix producing cells are mainly distribute in the outside of the 'coffee ring', and the extracellular matrix (ECM) prevents the motile cells moving outward from center. Motile cells mainly locate inside the ring, a small amount of dead motile cells outside the 'coffee ring' give rise to radial folds formation. There are no ECM blocking cell movements inside the ring, which result in uniform folds formation. The distribution of ECM and different phenotypes lead to the formation of the 'coffee ring', which is verified by using eps and flagellar mutants.

The heterogeneity of Parkinson's disease

The heterogeneity of Parkinson's disease (PD), i.e. the various clinical phenotypes, pathological findings, genetic predispositions and probably also the various implicated pathophysiological pathways pose a major challenge for future research projects and therapeutic trail design. We outline several pathophysiological concepts, pathways and mechanisms, including the presumed roles of α-synuclein misfolding and aggregation, Lewy bodies, oxidative stress, iron and melanin, deficient autophagy processes, insulin and incretin signaling, T-cell autoimmunity, the gut-brain axis and the evidence that microbial (viral) agents may induce molecular hallmarks of neurodegeneration. The hypothesis is discussed, whether PD might indeed be triggered by exogenous (infectious) agents in susceptible individuals upon entry via the olfactory bulb (brain first) or the gut (body-first), which would support the idea that disease mechanisms may change over time. The unresolved heterogeneity of PD may have contributed to the failure of past clinical trials, which attempted to slow the course of PD. We thus conclude that PD patients need personalized therapeutic approaches tailored to specific phenomenological and etiologic subtypes of disease.

Single-cell RNA sequencing reveals the vascular smooth muscle cell phenotypic landscape in aortic aneurysm

BACKGROUND AND OBJECTIVES

Phenotypic switching in vascular smooth muscle cells (VSMCs) has been linked to aortic aneurysm, but the phenotypic landscape in aortic aneurysm is poorly understood. The present study aimed to analyse the phenotypic landscape, phenotypic differentiation trajectory, and potential functions of various VSMCs phenotypes in aortic aneurysm.

METHODS

Single-cell sequencing data of 12 aortic aneurysm samples and 5 normal aorta samples (obtained from GSE166676 and GSE155468) were integrated by the R package Harmony. VSMCs were identified according to the expression levels of ACTA2 and MYH11. VSMCs clustering was determined by the R package 'Seurat'. Cell annotation was determined by the R package 'singleR' and background knowledge of VSMCs phenotypic switching. The secretion of collagen, proteinases, and chemokines by each VSMCs phenotype was assessed. Cell‒cell junctions and cell-matrix junctions were also scored by examining the expression of adhesion genes. Trajectory analysis was performed by the R package 'Monocle2'. qPCR was used to quantify VSMCs markers. RNA fluorescence in situ hybridization (RNA FISH) was performed to determine the spatial localization of vital VSMCs phenotypes in aortic aneurysms.

RESULTS

A total of 7150 VSMCs were categorize into 6 phenotypes: contractile VSMCs, fibroblast-like VSMCs, T-cell-like VSMCs, adipocyte-like VSMCs, macrophage-like VSMCs, and mesenchymal-like VSMCs. The proportions of T-cell-like VSMCs, adipocyte-like VSMCs, macrophage-like VSMCs, and mesenchymal-like VSMCs were significantly increased in aortic aneurysm. Fibroblast-like VSMCs secreted abundant amounts of collagens. T-cell-like VSMCs and macrophage-like VSMCs were characterized by high chemokine levels and proinflammatory effects. Adipocyte-like VSMCs and mesenchymal-like VSMCs were associated with high proteinase levels. RNA FISH validated the presence of T-cell-like VSMCs and macrophage-like VSMCs in the tunica media and the presence of mesenchymal-like VSMCs in the tunica media and tunica adventitia.

CONCLUSION

A variety of VSMCs phenotypes are involved in the formation of aortic aneurysm. T-cell-like VSMCs, macrophage-like VSMCs, and mesenchymal-like VSMCs play pivotal roles in this process. Video Abstract.

The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU

BACKGROUND

Limiting life-sustaining treatment (LST) in the intensive care unit (ICU) by withholding or withdrawing interventional therapies is considered appropriate if there is no expectation of beneficial outcome. Prognostication for very old patients is challenging due to the substantial biological and functional heterogeneity in that group. We have previously identified seven phenotypes in that cohort with distinct patterns of acute and geriatric characteristics. This study investigates the relationship between these phenotypes and decisions to limit LST in the ICU.

METHODS

This study is a post hoc analysis of the prospective observational VIP2 study in patients aged 80 years or older admitted to ICUs in 22 countries. The VIP2 study documented demographic, acute and geriatric characteristics as well as organ support and decisions to limit LST in the ICU. Phenotypes were identified by clustering analysis of admission characteristics. Patients who were assigned to one of seven phenotypes (n = 1268) were analysed with regard to limitations of LST.

RESULTS

The incidence of decisions to withhold or withdraw LST was 26.5% and 8.1%, respectively. The two phenotypes describing patients with prominent geriatric features and a phenotype representing the oldest old patients with low severity of the critical condition had the largest odds for withholding decisions. The discriminatory performance of logistic regression models in predicting limitations of LST after admission to the ICU was the best after combining phenotype, ventilatory support and country as independent variables.

CONCLUSIONS

Clinical phenotypes on ICU admission predict limitations of LST in the context of cultural norms (country). These findings can guide further research into biases and preferences involved in the decision-making about LST. Trial registration Clinical Trials NCT03370692 registered on 12 December 2017.

Acute heart failure: differential diagnosis and treatment

Acute heart failure is a heterogeneous clinical syndrome and is the first cause of unplanned hospitalization in people >65 years. Patients with heart failure may have different clinical presentations according to clinical history, pre-existing heart disease, and pattern of intravascular congestion. A comprehensive assessment of clinical, echocardiographic, and laboratory data should aid in clinical decision-making and treatment. In some cases, a more accurate evaluation of patient haemodynamics via a pulmonary artery catheter may be necessary to undertake and guide escalation and de-escalation of therapy, especially when clinical, echo, and laboratory data are inconclusive or in the presence of right ventricular dysfunction. Similarly, a pulmonary artery catheter may be useful in patients with cardiogenic shock undergoing mechanical circulatory support. With the subsequent de-escalation of therapy and haemodynamic stabilization, the implementation of guideline-directed medical therapy should be pursued to reduce the risk of subsequent heart failure hospitalization and death, paying particular attention to the recognition and treatment of residual congestion.

Geriatric Phenotypes and Their Impact on Oral Health

Older adults have multiple morbidities that can impact oral, systemic, and psychological health. Although each disorder requires consideration from the provider before treatment, by assessing the common phenotypic presentations of older adults, we can better understand, select, and coordinate treatment modifications that would need to be considered and implemented for dental care.

Effects of Vitamin D supplementation or deficiency on metabolic phenotypes in mice of different sexes

Vitamin D is a steroid hormone precursor that was initially recognized for its important roles in calcium-phosphate homeostasis and bone health. However, the resent prevalence of vitamin D deficiency has highlighted its non-skeletal function, such as its important role in regulating endogenous metabolism. The aim of the present study was to examine the roles of vitamin D supplementation or deficiency on metabolic phenotypes in both male and female mice by using targeted metabolomics analysis. Six weeks old C57BL/6 mice of different sexes were fed with standard chow diet (1000 IU/kg vitamin D3 contained), vitamin D deficient diet (0 IU/kg vitamin D3 contained), or vitamin D enriched diet (10,000 IU/kg vitamin D3 contained) for a total of 14 weeks. Liver pathological analysis showed that vitamin D deficiency caused significant fat deposition in both male and female mice. While vitamin D supplementation was found to improve the accumulation of fat in the liver tissue. Metabolomics analysis indicated that metabolic perturbation related to vitamin D regulation in male mice mainly involved in tricarboxylic acid cycle, fatty acylcarnitine and fatty acid metabolism, sugar metabolism, glutathione metabolism, steroid hormone and pyrimidine metabolism. Based on the criteria of VIP> 1 in OPLS-DA analysis and P < 0.05 in hypothesis test, a total of 62 metabolites and 78 metabolites were found to be significantly changed in VD-deficiency group and VD-supplement group compared with the control group, respectively. While for female mice, the metabolites disturbance mainly involved in fatty acylcarnitine and fatty acid metabolism, TCA, sugar metabolism, folate cycle, methionine cycle, and purine metabolism. A total of 38 and 57 metabolites were found to be significantly changed (VIP>1 and P < 0.05) in VD-deficiency group and VD-supplement group compared with the control group, respectively. Energy metabolism was the most relevant metabolic pathway for vitamin D regulation in both male and female mice. Sex-specific changes of fatty acyl carnitines and dehydroepiandrosterone were observed in the vitamin D supplementation groups. However, most of the energy metabolism related compounds exhibited the same trend in vitamin D supplementation groups of different sexes. Pearson's correlation analysis indicated that vitamin D was significantly correlated (P < 0.05) with the levels of D-fructose 6-phosphate, D-glucose 1-phosphate, D-glucose 6-phosphate, DL-pyroglutamic acid, 2-oxoglutarate, L-glutamic acid, and fumarate, which were all involved in the sugar metabolism pathway. The results achieved in this study demonstrated that vitamin D significantly regulated the metabolism of lipid and sugar, and the regulation showed a certain sex specificity.

Distinct phenotypes of multisystem inflammatory syndrome in children: a cohort study

BACKGROUND

Multisystem inflammatory syndrome in children (MIS-C) is a severe disease with an unpredictable course and a substantial risk of cardiogenic shock. Our objectives were to (a) compare MIS-C phenotypes across the COVID-19 pandemic, (b) identify features associated with intensive care need and treatment with biologic agents.

METHODS

Youth aged 0-18 years, fulfilling the World Health Organization case definition of MIS-C, and admitted to the Alberta Children's Hospital during the first four waves of the COVID-19 pandemic (May 2020-December 2021) were included in this cohort study. Demographic, clinical, biochemical, imaging, and treatment data were captured.

RESULTS

Fifty-seven MIS-C patients (median age 6 years, range 0-17) were included. Thirty patients (53%) required intensive care. Patients in the third or fourth wave (indicated as phase 2 of the pandemic) presented with higher peak ferritin (µg/l, median (IQR) = 1134 (409-1806) vs. 370 (249-629), P = 0.001), NT-proBNP (ng/l, median (IQR) = 12,217 (3013-27,161) vs. 3213 (1216-8483), P = 0.02) and D-dimer (mg/l, median (IQR) = 4.81 (2.24-5.37) vs. 2.01 (1.27-3.34), P = 0.004) levels, and higher prevalence of liver enzyme abnormalities (n(%) = 17 (68) vs. 11 (34), P = 0.02), hypoalbuminemia (n(%) = 24 (100) vs. 25 (81), P = 0.03) and thrombocytopenia (n(%) 18 (72) vs. 11 (34), P = 0.007) compared to patients in the first two waves (phase 1). These patients had a higher need of non-invasive/mechanical ventilation (n(%) 4 (16) vs. 0 (0), P = 0.03). Unsupervised clustering analyses classified 47% of the patients in the correct wave and 74% in the correct phase of the pandemic. NT-proBNP was the only significant contributor to the need for intensive care in all applied multivariate regression models. Treatment with biologic agents was significantly associated with peak CRP (mg/l (median, IQR = 240.9 (132.9-319.4) vs. 155.8 (101.0-200.7), P = 0.02) and ferritin levels (µg/l, median (IQR) = 1380 (509-1753) vs. 473 (280-296)).

CONCLUSIONS

MIS-C patients in a later stage of the pandemic displayed a more severe phenotype, reflecting the impact of distinct SARS-CoV-2 variants. NT-proBNP emerged as the most crucial feature associated with intensive care need, underscoring the importance of monitoring.

Correlation of Body Mass Index with Anthropometric and Biochemical Parameters Among Polycystic Ovary Syndrome Phenotypes

This was a prospective observational study, conducted at a tertiary care health centre in Rajasthan. A total of 68 women with PCOS (Rotterdam criteria) attending OPD at Department of Obstetrics and Gynecology qualified as per inclusion and exclusion criteria were included in the study. Each participant was examined for anthropometric and biochemical parameters. The largest phenotypic group was phenotype A, (41.17%); followed by B (26.47%); C (20.58%), and D (P + O) phenotypes (11.76%). Hyperandrogenic phenotypes (A, B, C), had significantly higher prevalence of deranged serum glucose (fasting and postprandial), lipid profile and serum TSH than normoandrogenic phenotype D. BMI was strongly correlated with anthropometric (p < 0.001) and biochemical parameters (p < 0.05) in phenotype A among four phenotypes of PCOS. Phenotype A was the most common form of PCOS and a strong correlation of BMI with waist circumference (WC), dyslipidemia and Sub-clinical hypothyroidism (SCH) was observed in women of this phenotype of PCOS. These results indicate that phenotype A is at increased risk of CVD and diabetes and phenotype D has least metabolic risks.

Anatomical and histopathological approaches to asthma phenotyping

Asthma is typically characterized by variable respiratory symptoms and airflow limitation. Along with the pathophysiology and symptoms are immunological and inflammatory processes. The last decades research has revealed that the immunology of asthma is highly heterogeneous. This has clinical consequences and identification of immunological phenotypes is currently used to guide biological treatment. The focus of this review is on another dimension of asthma diversity, namely anatomical heterogeneity. Immunopathological alterations may go beyond the central airways to also involve the distal airways, the alveolar parenchyma, and pulmonary vessels. Also, extrapulmonary tissues are affected. The anatomical distribution of inflammation in asthma has remained relatively poorly discussed despite its potential implication on both clinical presentation and response to treatment. There is today evidence that a significant proportion of the asthma patients has small airway disease with type 2 immunity, eosinophilia and smooth muscle infiltration of mast cells. The small airways in asthma are also subjected to remodelling, constriction, and luminal plugging, events that are likely to contribute to the elevated distal airway resistance seen in some patients. In cases when the inflammation extends into the alveolar parenchyma alveolar FCER1-high mast cells, eosinophilia, type 2 immunity and activated alveolar macrophages, together with modest interstitial remodelling, create a complex immunopathological picture. Importantly, the distal lung inflammation in asthma can be pharmacologically targeted by use of inhalers with more distal drug deposition. Biological treatments, which are readily distributed to the distal lung, may also be beneficial in eligible patients with more severe and anatomically widespread disease.