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APOL1 kidney disease: a critical narrative review of molecular mechanisms, clinical heterogeneity, and the emerging therapeutic landscape.

BACKGROUND: The G1 and G2 variants of the APOL1 gene represent significant genetic risk factors for APOL1 kidney disease and contribute substantially to the excess burden of renal disease observed in individuals of African ancestry. Importantly, both variants exhibit incomplete penetrance, with only approximately 15-20% of high-risk genotype carriers ultimately developing overt nephropathy. OBJECTIVE: To provide a critically appraised, clinically oriented narrative synthesis of APOL1 kidney disease that (i) assigns an explicit certainty rating to each major mechanistic and clinical claim, (ii) identifies where published estimates diverge, where associations remain contested, and where conclusions have been overstated in the secondary literature, and (iii) aligns terminology, testing guidance and therapeutic expectations with the conclusions of the 2025 KDIGO Controversies Conference and with clinical trial data available to August 2026. METHODS: This literature narrative review was performed using a literature search of PubMed and Scopus focusing on APOL1-related nephropathy. Mainly studies published from 2010 to 2026 were considered; however, some selected historical papers from 2005 to 2010 were used for better understanding of the underlying mechanisms and history. Used search terms were "APOL1," "APOL1 risk variants," "chronic kidney disease," AMPLITUDE trial, MZE829, HORIZON trial, "focal segmental glomerulosclerosis," "HIV-associated nephropathy," "podocyte injury," "inaxaplin," "VX-147," KDIGO 2025, and "antisense oligonucleotides." Trial status and topline results for agents in development were additionally verified against ClinicalTrials.gov registrations and sponsor disclosures. The literature search was last updated on 10 August 2026. The inclusion criteria of the study were peer-reviewed original articles, genome-wide association studies, randomised controlled trials, translational studies, mechanistic investigations, and high-quality review articles published in the English language. Exclusion criteria included conference abstracts without peer review, duplicate papers, non-English publications with unreliable translation, and case reports with no relevance to the underlying mechanisms. More attention was paid to studies focusing on molecular pathogenesis of APOL1 nephropathy, second-hit pathophysiology, genotypes/phenotypes, and new therapies (e.g. inhibitors such as Inaxaplin). The review method and design have been prepared according to SANRA (Scale for the Assessment of Narrative Review Articles) criteria. Among eligible articles, priority was given to studies with larger sample sizes, more recent publication dates, higher-impact peer-reviewed journals, and direct clinical or mechanistic relevance to APOL1-associated nephropathy; where multiple studies addressed the same question, the most methodologically rigorous and most recent source was preferentially cited. To move beyond description, each principal claim carried forward into this review was assigned a qualitative certainty rating (high, moderate, low or very low) on the basis of study design, consistency across independent cohorts, directness of the evidence to human disease, and precision of the estimate. These ratings, together with the study design that would be required to resolve each remaining uncertainty, are presented in Table 5. This grading represents a structured judgement by the authors and is not a formal GRADE assessment. RESULTS: Pathogenic actions of APOL1 risk alleles depend on toxic gain-of-function activities that result from the disruption of ion channels. Mitochondrial dysfunction, endoplasmic reticulum stress, and inflammasome activation play roles as secondary downstream modulators of podocyte damage. The existence of incomplete penetrance and lack of symptoms in people with high-risk alleles highlights the need for secondary triggers, including environmental, infectious, and inflammatory factors, for disease onset and progression. High-risk APOL1 genotypes increase the likelihood of rapidly progressing kidney diseases like FSGS, which amplify susceptibility in HIVAN when accompanied by secondary causes like HIV infection. Management is mainly through renin-angiotensin antagonists, but recent treatments include antisense oligonucleotides, immunomodulators, and small molecule inhibitors like inaxaplin. Although promising, inaxaplin (VX-147) showed a ~47% reduction in urine protein/creatinine ratio (UPCR) in Phase 2a trial; however, these findings are based on a relatively small sample size, an open-label study design, and short-term follow-up, and therefore require confirmation in ongoing Phase 3 studies. As this is a narrative review rather than a primary study, no new patient-level data are reported. Across the studies synthesised, high-risk APOL1 genotypes were consistently associated with podocyte injury and with a faster decline in kidney function than low-risk genotypes; however, the magnitude of this association varied substantially with how cohorts were ascertained. The association is robust and reproducible for focal segmental glomerulosclerosis, HIV-associated nephropathy, and hypertension-attributed kidney failure, and remains inconsistent for diabetic kidney disease. Therapeutic development has accelerated, but the supporting clinical evidence remains early phase. Inaxaplin (VX-147) reduced the urine protein-to-creatinine ratio by approximately 47.6% at week 13 in a 16-participant, single-group, open-label Phase 2a study, and is now being evaluated in the randomised, double-blind, placebo-controlled Phase 2/3 AMPLITUDE trial (NCT05312879), whose pre-specified week 48 interim analysis is anticipated in early 2027. MZE829, an orally administered APOL1 inhibitor, produced a mean 35.6% reduction in the urine albumin-to-creatinine ratio at 12 weeks in the Phase 2 HORIZON study; because HORIZON was a small, open-label, single-arm basket study (15 participants enrolled, 12 evaluable) whose primary endpoints were safety and tolerability, this reduction is neither placebo adjusted nor the result of a formal test of efficacy. To date, no APOL1-targeted agent has demonstrated benefit on a hard kidney endpoint. CONCLUSION: APOL1 is the clearest current example of a genetically defined, mechanism-targetable kidney disease, but its evidence base is uneven. The genetic association is firmly established; whereas much of the mechanistic literature derives from overexpression systems, several downstream pathways remain contested, and every APOL1-targeted therapy is so far supported only by short-term, surrogate-endpoint data. The principal unresolved issues are the determinants of incomplete penetrance, the absence of a validated progression biomarker and of any model reproducing the common slowly progressive phenotype, and the long-term efficacy and safety of APOL1-directed therapy. Genotype-guided risk stratification is therefore best regarded as clinically reasonable but not yet proven, and routine population-level screening is not currently supported.

AMPLITUDE trial

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Cell fate plasticity refers to the capacity of cells sharing the same genome to alter, reverse, or reconfigure their identity under physiological, pathological, or experimental conditions. This property underlies embryonic development, cellular reprogramming, and tissue regeneration, but becomes progressively restricted as lineage identity is stabilized. Embryonic development represents an intrinsic process of fate transitions, whereas reprogramming and regeneration reveal how differentiated cells can dedifferentiate or transdifferentiate under specific conditions. Across these contexts, plasticity is governed by multilayered regulatory networks involving transcription factors, epigenetic regulators, cofactors, and the core transcription machinery. Robust regulatory programs stabilize cell identity, whereas stochastic fluctuations in gene expression and chromatin state can prime cells for fate transitions, adding a tunable dimension to plasticity control. In this review, we synthesize recent advances in the regulation of cell fate plasticity across development, reprogramming, and regeneration, highlighting how transcription factors, epigenetic modifications, transcriptional cofactors, and core transcription machinery cooperate to control cell fate decisions and plasticity.

Animals

Mechanisms of Hematopoietic Stem Cell Aging and Emerging Rejuvenation Strategies.

Hematopoietic stem cell (HSCs) aging is a complex biological process driven by both cell-intrinsic alterations and extrinsic cues from the bone marrow niche. Understanding these mechanisms is critical for developing therapies against aging-related hematopoietic disorders. This review synthesizes recent advances in the molecular mechanisms underlying HSCs aging, including microenvironmental aging, genomic instability, epigenetic dysregulation, mitochondrial dysfunction, and aberrant nuclear mechanotransduction. We summarize that the functional decline of HSCs during aging drives a compensatory expansion of the phenotypically defined stem cell pool, leading to an aberrant increase in cell number. We also highlight aging-associated HSCs heterogeneity, including CD150high and P-selectin-positive subsets that enrich for myeloid-biased or functionally compromised HSCs states while emphasizing that surface phenotype alone may not fully indicate functional rejuvenation. Finally, we discuss emerging rejuvenation strategies-including targeting myeloid-biased HSCs, modulating inflammatory pathways, and implementing epigenetic or metabolic interventions-supported by cutting-edge technologies such as single-cell multi-omics, gene editing, and computational modeling. These approaches hold promise for counteracting age-related hematopoietic decline and restoring immune competence.

Humans

Functional role and regulatory network of miR-22-3p in chicken hepatic lipid metabolism.

Although microRNA-22-3p (miR-22-3p) is abundantly expressed in the avian liver, its epigenetic role in lipid homeostasis remains largely uncharacterized. To elucidate its in vivo function, 14-day-old female Qingyuan Partridge chickens were intravenously injected with lentiviral vectors to establish miR-22-3p overexpression and knockdown models. Phenotypic analysis demonstrated that miR-22-3p knockdown significantly elevated hepatic triglyceride (TG) levels (p&#xa0;<&#xa0;0.05) and drove marked steatosis, whereas its overexpression reduced TG content. Transcriptome sequencing (RNA-Seq) revealed profound metabolic remodeling, identifying 23 core lipid-associated genes (e.g., ELOVL6, FADS2, ACSBG2, and PTGIS) heavily enriched in steroid biosynthesis, fatty acid metabolism, and elongation pathways. In conclusion, miR-22-3p functions as a bidirectional epigenetic rheostat that negatively regulates hepatic lipid deposition by orchestrating a multilayered polygenic network, providing novel molecular targets for mitigating avian metabolic disorders and optimizing production traits in indigenous poultry breeds.

Animals

Mitochondrial translocation of DNMT3L suppresses oxidative phosphorylation and restrains megakaryopoiesis.

DNMT3L, a catalytically inactive member of the DNA methyltransferase family, is identified here as a negative regulator of megakaryopoiesis. In K562 cells undergoing PMA-induced megakaryocytic differentiation, DNMT3L protein levels declined progressively, and shRNA-mediated depletion enhanced differentiation, whereas overexpression attenuated it. Consistent with these findings, Dnmt3l-knockout mice exhibited elevated peripheral blood platelet counts and expanded bone marrow megakaryocytes. Mechanistically, megakaryocytic differentiation triggered rapid mitochondrial translocation of DNMT3L within 6&#xa0;h; mitochondrial DNMT3L suppressed oxidative phosphorylation (OXPHOS) capacity and ATP production and downregulated mitochondrial-encoded genes spanning Complex I, III, IV, and ATP synthase, without altering mitochondrial DNA copy number. This metabolic suppression was mediated through compartment-specific remodeling of DNMT3L-containing protein complexes: upon differentiation, DNMT3L selectively dissociated from DNMT1 and DNMT3B in mitochondria, relieving the repressive constraint on OXPHOS, whereas in the nucleus DNMT3L remained associated with DNMT3A, which concomitantly accumulated during differentiation. These findings reveal a previously unrecognized mechanism by which a catalytically inactive epigenetic co-regulator spatially redistributes to coordinate mitochondrial metabolic output with nuclear epigenetic control, thereby facilitating terminal megakaryocytic maturation.

Animals

Advanced/Novel Stenting for Pediatric Dynamic Airway Collapse.

Pediatric dynamic airway collapse is a complex condition that can impact all levels of the pediatric airway. These conditions can pose life threatening risk to pediatric patients and carry lasting impacts. While traditionally, tracheostomy has been used to address all levels of dynamic collapse, recent advances have allowed for more individualized, anatomy-specific stenting and splinting strategies for treatment. This article covers pathophysiology and the latest evidence on strategies to address nasopharyngeal, oropharyngeal, proximal trachea, and tracheobronchial dynamic collapse.

Humans

Communication crossroads: Exploring generational dynamics in nursing from the bedside to the boardroom.

Nurses have up to four times more patient contact than physicians, positioning them as central drivers of communication in health care. Effective communication directly influences patient outcomes, teamwork, staff engagement, and the overall care experience. Today's nurses operate within a highly diverse environment that includes four generations in the workforce and up to eight generations of patients, each with distinct values, expectations, and communication preferences. This article examines how generational differences shape communication across three key relational domains: peer-to-peer, nurse-to-patient, and nurse-to-leader interactions, and offers insights to strengthen collaboration, engagement, and quality of care.

Humans

Integrative modeling of the genome structure and dynamics in fission yeast.

Genome organization in the nucleus is highly structured and dynamic. Recent advances in genomic technology have enabled the measurement of genome-wide architecture and locus-specific motion, yielding contact maps and live-cell trajectories. However, these outcomes are derived from different modalities and are not directly comparable, with their quantitative integration being a key challenge. Here we establish a genome-wide live-cell imaging platform in fission yeast Schizosaccharomyces pombe, tracking 131 chromosomal loci, along with the spindle pole body (SPB) and nucleolus, to construct a quantitative map of locus dynamics. By integrating these dynamics with contact data through polymer modeling of Hi-C data, we build a physics-based "digital twin" of the S. pombe genome consistent with the spatiotemporal dynamics of interphase chromatin. We validate it against genome-wide mobility patterns and known architectural features, including centromere and telomere clustering. The model also identifies distinct dynamical regimes: centromere- and telomere-proximal loci relax within [Formula: see text]150 s, whereas the remaining loci relax within [Formula: see text]70 s. We measure semiperiodic dynamics of SPB motion, including a characteristic peak near 225 s and [Formula: see text] fluctuations. We use the model with SPB-directed forcing to show how these low-frequency components propagate through the genome to drive genome-wide chromatin displacements. Together, this predictive physics-based modeling framework integrates genome structure and dynamics to reveal how nuclear mechanical driving forces shape chromosome motion, linking mechanically driven chromatin responses to genome maintenance and regulation.

Schizosaccharomyces

Modelling the effects of biological intervention in a dynamical gene network.

Cellular response to environmental and internal signals can be modeled by dynamical gene regulatory networks (GRN). In the literature, three main classes of gene network models can be distinguished: (1) non-quantitative (or data-based) models which do not describe the probability distribution of gene expressions; (2) quantitative models which fully describe the probability distribution of all genes co-expression; and (3) mechanistic models which allow for a causal interpretation of gene interactions. We propose two rigorous frameworks to model gene alteration in a dynamical GRN, depending on whether the network model is quantitative or mechanistic. We explain how these models can be used for design of experiment, or, if additional alteration data are available, for validation purposes or to improve the parameter estimation of the original model. We apply these methods to the Gaussian graphical model, which is quantitative but non-mechanistic, and to mechanistic models of Bayesian networks and penalized linear regression.

Gene Regulatory Networks

An AI-assisted Clinical Decision Support System for Green Classification of Cystocele on Dynamic Transperineal Ultrasound.

Green classification of cystocele on dynamic transperineal ultrasound (TPUS) remains operator-dependent because it requires manual frame selection and landmark-based assessment of the Valsalva maneuver. We developed a workflow-oriented AI-assisted clinical decision support system for automated urethrovesical junction localization and dynamic Green classification and prospectively evaluated its standalone and reader-support performance. This diagnostic accuracy and reader study included 881 patients from a tertiary referral hospital, comprising a retrospective development cohort (n&#x2009;=&#x2009;688) and an independent prospective test cohort (n&#x2009;=&#x2009;193). A nested subset of 67 prospective patients was used for a reader study involving two junior and two intermediate radiologists under unaided and AI-assisted conditions. In the complete prospective test cohort, Green-AttGRU achieved a macro-averaged AUC of 0.939 (95% CI, 0.897-0.971) and an overall accuracy of 0.902 (95% CI, 0.860-0.943). In the reader study, overall accuracy increased from 0.761 to 0.821 without AI to 0.851-0.881 with AI, while macro-F1 increased from 0.660 to 0.777 to 0.820-0.860. Overall inter-reader agreement increased from a Fleiss' &#x3ba; of 0.453 to 0.786, and pooled median interpretation time decreased from 26.7&#xa0;s to 9.9&#xa0;s. These findings support the preliminary feasibility of the system as a workflow-oriented decision-support tool for dynamic TPUS interpretation.

Humans

Examining early-phase symptom trajectories in interpersonal psychotherapy versus antidepressant medication for adults with depression: A dynamic time warp network analysis.

BACKGROUND: Depression is characterized by substantial symptom heterogeneity, which is often concealed when examining total severity scores. Analyzing symptom-level change can improve our understanding of treatment effects and recovery processes. This study, therefore, examined dynamic symptom networks during early-phase interpersonal psychotherapy (IPT) and selective serotonin reuptake inhibitor (SSRI) antidepressant treatment, assessing patterns of symptom change across as well as differences between treatments. METHODS: Using weekly item-level Hamilton Depression Rating Scale (HAM-D) data from a randomized clinical trial comparing IPT and SSRIs for adults with depression, this preregistered study examined symptom trajectories in the first six weeks of treatment with Dynamic Time Warping (DTW). RESULTS: Depressive symptom trajectories and DTW-based symptom networks were largely similar for IPT and SSRI. In both conditions, changes in somatic symptoms of anxiety and middle insomnia tended to precede improvements in depressed mood. CONCLUSIONS: Early symptom change may occur outside the core affective domain, underscoring the importance of monitoring symptoms broadly. Symptom-level patterns may reflect patients' stage of recovery and provide clinically relevant information beyond total severity scores. The absence of differences in improvement patterns between IPT and SSRI suggest few indications for treatment selection based on baseline symptom profiles. Future research should replicate and extend these findings to subsequent treatment phases using more frequent assessments and a broader range of interventions.

Humans

A Dynamic Nomogram to Predict Metabolic Dysfunction-Associated Fatty Liver Disease in Patients with Metabolic Syndrome.

BACKGROUND: Metabolic syndrome (MetS) involves multiple metabolic disorders. This study aimed to identify high-risk populations for metabolic dysfunction-associated fatty liver disease (MAFLD) in patients with MetS and to establish a dynamic predictive nomogram. METHODS: A total of 627 patients with MetS from six regions in Zhejiang Province were enrolled and categorized into MAFLD and non-MAFLD groups, then randomly assigned to training and validation sets at a ratio of 7:3. Independent predictors of MAFLD were identified using least absolute shrinkage and selection operator regression and multivariable logistic regression analyses. These predictors were then used to construct a dynamic nomogram. RESULTS: A total of 627 patients with MetS were included in the final analysis, of whom 77.0% (483/627) were diagnosed with MAFLD. Multivariable logistic regression analysis identified body mass index (BMI), waist circumference (WC), total cholesterol (TC), alanine aminotransferase (ALT), MetS-defined dysglycemia, and education level as independent risk factors for MAFLD. MetS-defined dysglycemia showed the highest odds ratio (OR) for MAFLD development [OR = 1.87, 95% confidence interval (CI): 1.07-3.29]. Although the number of MetS components and the metabolic syndrome score were significantly associated with MAFLD in univariate analysis, they were not independently associated with MAFLD in the multivariate model. A dynamic nomogram for predicting MAFLD risk in patients with MetS was developed and internally validated. The area under the receiver operating characteristic curve was 0.834 (95% CI: 0.787-0.880) in the training set and 0.839 (95% CI: 0.771-0.899) in the validation set, indicating strong predictive performance. Bootstrap internal validation demonstrated good agreement between predicted and observed outcomes in calibration curves. Decision curve analysis further indicated favorable clinical applicability of the nomogram. CONCLUSION: BMI, WC, TC, ALT, MetS-defined dysglycemia, and education level are independent risk factors for MAFLD. A dynamic nomogram for predicting MAFLD risk in patients with MetS was successfully developed and validated.

Humans

Retinoid dynamics in immune cells during age-related diseases.

Retinoids comprise vitamin A and its structurally related natural and synthetic derivatives. Retinoid dynamics involves multiple retinoid forms, carrier proteins, and enzymes that orchestrate the absorption, transport, storage and biotransformation of dietary vitamin A. Beyond their canonical metabolic functions, metabolites and proteins involved in retinoid metabolism also play distinct roles in signal transduction and transcriptome reprogramming, broadening the mechanisms that influence immune cell fate decisions. Age&#x2011;related changes in retinoid bioavailability and signaling intensity alter immune cell polarization and function, thereby contributing to the pathogenesis of chronic inflammation in neurodegenerative diseases, cardiovascular diseases, osteoarthritis, and other age-related diseases. In this review, we focus on age-related alterations in the retinoid metabolic pathway and their impact on inflammation and the progression of age-related diseases. This review highlights the pivotal role of retinoid metabolism in anti-ageing interventions and considers future directions and challenges in this field.

Humans

Utility of Dynamic MRI in Surgical Outcome of Patients With Degenerative Cervical Myelopathy: A Single-Center, Randomized Controlled Trial.

BACKGROUND AND OBJECTIVES: The utility of dynamic MRI (dMRI) in surgical planning and outcomes for degenerative cervical myelopathy (DCM) has not been validated in any prospective randomized trials. METHODS: In this hospital-based randomized controlled trial conducted between February 2023 and December 2024, patients with DCM were randomized into 2 groups: the Static MRI Group, where surgery was guided by conventional static MRI alone, and the dMRI Group, in which dMRI was performed, with the potential to alter the surgical approach. The primary outcome was recovery rate (RR) at 3 months. Secondary outcomes included postoperative changes in modified Japanese Orthopaedic Association scores and Nurick grades, surgical plan alterations, comparison of surgical approaches, and complication rates. RESULTS: Seventy-four patients were analyzed at a 3-month follow-up. The dMRI group had a significantly higher mean RR (55.42% &#xb1; 29.05%) than the Static group (46.76% &#xb1; 29.51%) ( P = .044). A RR of &#x2265;50% was observed in 91.9% of patients in the dMRI group, compared with 59.4% in the static MRI group ( P = .002). Modified Japanese Orthopaedic Association scores improved more in the dMRI group (15.47 &#xb1; 2.62 vs 13.77 &#xb1; 2.66, P = .007). While Nurick grades improved in both groups, the intergroup difference was not statistically significant ( P = .151). dMRI altered the surgical plan in 59.5% of cases. Anterior approaches yielded better RR but had more complications. By contrast, posterior approaches had fewer but more severe complications including mortality. CONCLUSION: dMRI enhances the detection of clinically significant cord compression and may aid in surgical decision-making, potentially contributing to superior functional outcomes in DCM. Further studies are required to determine its impact on long-term functional outcomes.

Humans

Dynamic lysine acetylation and succinylation of platelet proteins regulates platelet storage lesion: mechanistic insights from multi-omics.

OBJECTIVES: Platelet storage lesion (PSL) severely impairs platelet function during storage, presenting a major hurdle in transfusion medicine; however, the dynamic interplay between global proteomic changes and post-translational modifications (PTMs) underlying these functional deteriorations remains insufficiently characterized. Here, we report the first comprehensive multi-omics analysis integrating global proteomics, acetylomics, and succinylomics to dissect the molecular dynamics during platelet storage. METHODS: We performed quantification of global proteomics, acetylome and succinylome based on TMT-labeled LC-MS/MS analysis, combined with antibody-affinity enrichment and purification. Dynamic molecular changes and functional transformation of platelet were also characterized under proper conditions stored for 1, 3, 5, 7&#x2009;days, respectively. RESULTS: We systematically characterized 3,609 proteins, 1,308 acetylation sites, and 1,947 succinylation sites across multiple storage time points (D1, D3, D5, D7). We distinct temporal patterns of post-translational modifications, with succinylation showing more extensive coverage than acetylation in platelets. Pathway enrichment analysis revealed extensive metabolic reprogramming involving complement activation, energy metabolism, and cellular detoxification processes. The identification of specific motif patterns provided mechanistic insights into the functional specificity of these modifications. Random forest machine learning identified 20 core regulatory proteins representing critical nodes in PSL development. Furthermore, we employed real - time quantitative polymerase chain reaction (RT - QPCR) to measure the expression levels of key genes related to platelet function and PTM - associated pathways. CONCLUSION: By mapping the interplay between proteomic abundance shifts and PTM dynamics, this study provides a multidimensional understanding of PSL, establishing a foundational framework for optimizing storage protocols and enhancing transfusion safety.

Blood Platelets

Dynamics of antibiotic resistance genes co-occurrence with pathogenic and non-pathogenic bacteria throughout wastewater treatment processes.

Wastewater treatment plants (WWTPs) are recognized hotspots for antibiotic resistance genes (ARGs) and pathogenic bacteria. Despite advancements in treatment technologies, the persistence of ARGs and pathogenic bacteria remains a concern. In this study, we analyzed the dynamic changes in ARGs and bacterial communities throughout the treatment processes within an anaerobic-anoxic-oxic (AAO) WWTP over one week by using HT-qPCR coupled with 16S rRNA gene amplicon sequencing. The connectedness index, based on network analysis, showed that the dynamics of ARGs and mobile genetic elements (MGEs) were more strongly associated with potentially pathogenic bacteria than with non-pathogenic bacteria, suggesting that ARG immigration and dissemination in the WWTP were likely driven by potentially pathogenic taxa. The AAO treatment significantly reduced ARGs in final effluent (EF) (&#x223c;64 %) and residual sludge (RS) (&#x223c;81 %); however, potential hosts of ARGs such as Comamonas testosteroni and Clostridioides difficile persisted with minimal changes in relative abundance and remained detectable in EF and RS. Notably, the abundance of ARGs was lower in RS than in EF, and source tracking analysis identified influent as the primary source of ARGs and potentially pathogenic taxa in EF, underscoring the greater health risks associated with effluent discharge.

Wastewater

Integrated widely targeted metabolomics and GC-IMS reveal dynamic flavor, nutritional, functional, and metabolic profiles in macadamia kernels during processing.

Different processing stages influence the color, flavor, and antioxidant activities of macadamia kernels. However, the biochemical mechanisms that occur during processing are not well known. This study integrated widely targeted metabolomics (UPLC-MS/MS) with GC-IMS to systematically characterize non-volatile and volatile compounds in macadamia kernels across key three sample groups: fresh kernels (FMN), low-temperature-dried kernels (DMN), and roasted kernels (BMN). A total of 622 non-volatile metabolites and 52 volatile compounds were identified. Low-temperature drying promoted the accumulation of phenolic acids and flavonoids, enhancing antioxidant capacity. Roasting degraded heat-sensitive nutrients but generated flavor compounds via Maillard reaction and lipid oxidation, shifting aroma from green to nutty notes. Nutritional assessment confirmed that roasting significantly reduced antioxidant activities and bile acid binding capacity. Pearson correlation analysis verified the key metabolite-antioxidant relationships. These findings provide critical insights into metabolic dynamics during nut processing and establish a scientific basis for optimizing thermal processing strategies.

Metabolomics

The effect of hip abductor or external rotator strength on dynamic knee valgus in healthy subjects-a systematic review with partial meta-analysis.

BACKGROUND: Weak hip abductors and external rotators (ER) have long been suggested to cause increased dynamic knee valgus. Patients are often prescribed strengthening of these muscles with the expectation that it will reduce their risk of pain and injury. The validity of this claim remains unclear. METHOD: We conducted a systematic review and partial meta-analysis assessing the association between hip strength and knee valgus in healthy subjects. An online search was conducted in May 2026. Databases included Medline, EMBASE, CINAHL and Google Scholar. INCLUSION CRITERIA: English language, asymptomatic subjects, dynamometric hip strength, single or multi-camera kinematic analysis, and statistical tests of difference or correlations between hip abductor or ER strength and dynamic valgus. Data were extracted concerning study design, subject characteristics, relevant outcome measures and statistics. RESULTS: 22 papers qualified for inclusion. Hip abductor correlations: 12 papers found no significant correlation, 2 supported the hypothesis and 2 found evidence contrary. Hip ER correlations: 8 papers found no significant correlation, 2 supported the hypothesis and 2 were contrary. Group differences for hip abduction strength: 3 papers found no difference, 2 found significant differences in support of the hypothesis, 1 found significant difference to contrary. Group differences for ER strength: 1 paper found no significant difference. None of the partial meta-analyses achieved statistical significance. CONCLUSION: Weakness in hip abductors or external rotators may not result in increased dynamic knee valgus in healthy subjects. While continued research may further illuminate our understanding, we discuss alternative explanations.

Humans