To Evaluate the Efficacy and Safety of Mifepristone in Reducing the Size & Symptoms of Uterine Leiomyoma/Fibroids.

Background and Study Objective: Uterine leiomyomas, or fibroids, are prevalent benign gynecological tumors affecting many women during their reproductive years. While surgical excision has long been the gold standard for fibroid treatment, the pharmacological management, including progesterone receptor modulators like mifepristone (RU 486), has garnered attention due to the reduced surgical approaches. However, there is a notable paucity of research on the effectiveness of mifepristone, on the same. This study seeks to evaluate the safety and efficacy of mifepristone in reducing uterine leiomyoma size and alleviating associated symptoms. Methodology: Conducted prospectively, the study enrolled 20 pre-menopausal women, aged 18 years or older, from Nanavati Max Super Speciality Hospital Mumbai, Maharashtra, India. Participants were selected based on specific inclusion criteria, including the presence of at least one uterine myoma with a minimum diameter of 2.5 cm as confirmed by ultrasound. Participants had an average age of 39.75 years and an average BMI of 27.58 kg/m2. Results: The study found that mifepristone significantly reduced uterine volume by 75%, with hemoglobin levels substantially improving from 9 gm/dL initially to 12.51 gm/dL after six months. Pain intensity, assessed using the Visual Analog Scale (VAS) score, gradually decreased from baseline to three-month, with all 20 patients reporting the complete absence of pelvic pain by six months. Conclusion: This prospective study highlights mifepristone's promise as a non-surgical approach to effectively reduce uterine fibroid volume, improve hemoglobin levels, and mitigate uterine blood loss in patients.

Alkoxy-functionalised dihydropyrimido[4,5-b]quinolinones enabling anti-proliferative and anti-invasive agents.

In this communication, we explored the synthesis of novel alkoxy-functionalised dihydropyrimido[4,5-b]quinolinones using a microwave-assisted multicomponent reaction. All the synthesized molecules were screened for anti-proliferative and anti-invasive activity against glioblastoma cells. 5c shows the most potent anti-proliferative activity with a half maximal effective concentration of less than 3 µM against primary patient-derived glioblastoma cells. 5c effectively inhibited invasion and tumor growth of 3D primary glioma cultures in a basement membrane matrix. This suggests that the novel compounds could inhibit both the proliferation and invasive spread of glioma and they were selected for further study.

Polycystic ovary syndrome: Insights into its prevalence, diagnosis, and management with special reference to gut microbial dysbiosis.

Polycystic ovary syndrome (PCOS) represents major endocrine and metabolic disorder among women largely characterized by hyperandrogenism and oligomenorrhea precipitates serious complications such as type 2 diabetes, early atherosclerosis, infertility, and endometrial cancer. Several etiological theories were proposed to define the exact cause of the PCOS, which is characterized, by the hypothalamic-pituitary axis, ovarian morphology, and release of adrenal steroid hormones, metabolic syndrome, and hereditary factors. The review explored the role of dysbiosis and the mechanisms through which microbial dysbiosis can affect PCOS development. In recent time, various research groups highlighted the role of microbial gut dysbiosis associated with obesity as potential etiological factor for the PCOS. In the present review, we reviewed the mechanisms attributed to the microbial dysbiosis and treatment approaches to deal with the situation.

Genomic Testing in Patients with Kidney Failure of an Unknown Cause: a National Australian Study.

BACKGROUND: The cause of kidney failure is unknown in approximately 10% of patients with stage 5 chronic kidney disease (CKD). For those who first present to nephrology care with kidney failure, standard investigations of serology, imaging, urinalysis and kidney biopsy are limited differentiators of etiology. We aimed to determine the diagnostic utility of whole-genome sequencing (WGS) with analysis of a broad kidney gene panel in patients with kidney failure of unknown cause. METHODS: We prospectively recruited 100 participants who reached CKD stage 5 at 50 years of age and had an unknown cause of kidney failure after standard investigation. Clinically-accredited WGS was performed in this national cohort after genetic counselling. The primary analysis was targeted to 388 kidney-related genes with second-tier genome-wide and mitochondrial analysis. RESULTS: The cohort was 61% male and the average age of participants at stage 5 CKD was 32 years (9 months to 50 years). A genetic diagnosis was made in 25% of participants. Disease-causing variants were identified across autosomal dominant tubulointerstitial kidney disease (6), glomerular disorders (4), ciliopathies (3), tubular disorders (2), Alport syndrome (4) and mitochondrial disease (1). Most diagnoses (80%) were in autosomal dominant, X-linked or mitochondrial conditions (UMOD; COL4A5; INF2; CLCN5; TRPC6; COL4A4; EYA1; HNF1B; WT1; NBEA; m.3243A>G). Patients with a family history of CKD were more likely to have a positive result (OR 3.29, 95% CI 1.10-11.29). Thirteen percent of participants without a CKD family history had a positive result. In those who first presented in stage 5 CKD, WGS with broad analysis of a curated kidney-disease gene panel was diagnostically more informative than kidney biopsy, with biopsy being inconclusive in 24 of 25 participants. CONCLUSIONS: In this prospectively ascertained Australian cohort, we identified a genetic diagnosis in 25% of patients with kidney failure of unknown cause.

Epidemic outcomes following government responses to COVID-19: Insights from nearly 100,000 models.

Government responses to COVID-19 are among the most globally impactful events of the 21st century. The extent to which responses-such as school closures-were associated with changes in COVID-19 outcomes remains unsettled. Multiverse analyses offer a systematic approach to testing a large range of models. We used daily data on 16 government responses in 181 countries in 2020-2021, and 4 outcomes-cases, infections, COVID-19 deaths, and all-cause excess deaths-to construct 99,736 analytic models. Among those, 42% suggest outcomes improved following more stringent responses ("helpful"). No subanalysis (e.g. limited to cases as outcome) demonstrated a preponderance of helpful or unhelpful associations. Among the 14 associations with P values < 1 × 10-30, 5 were helpful and 9 unhelpful. In summary, we find no patterns in the overall set of models that suggests a clear relationship between COVID-19 government responses and outcomes. Strong claims about government responses' impacts on COVID-19 may lack empirical support.

Click-chemistry mediated synthesis of OTBN-1,2,3-Triazole derivatives exhibiting STK33 inhibition with diverse anti-cancer activities.

There is a continuous and pressing need to establish new brain-penetrant bioactive compounds with anti-cancer properties. To this end, a new series of 4'-((4-substituted-4,5-dihydro-1H-1,2,3-triazol-1-yl)methyl)-[1,1'-biphenyl]-2-carbonitrile (OTBN-1,2,3-triazole) derivatives were synthesized by click chemistry. The series of bioactive compounds were designed and synthesized from diverse alkynes and N3-OTBN, using copper (II) acetate monohydrate in aqueous dimethylformamide at room temperature. Besides being highly cost-effective and significantly reducing synthesis, the reaction yielded 91-98 % of the target products without the need of any additional steps or chromatographic techniques. Two analogues exhibit promising anti-cancer biological activities. Analogue 4l shows highly specific cytostatic activity against lung cancer cells, while analogue 4k exhibits pan-cancer anti-growth activity. A kinase screen suggests compound 4k has single-digit micromolar activity against kinase STK33. High STK33 RNA expression correlates strongly with poorer patient outcomes in both adult and pediatric glioma. Compound 4k potently inhibits cell proliferation, invasion, and 3D neurosphere formation in primary patient-derived glioma cell lines. The observed anti-cancer activity is enhanced in combination with specific clinically relevant small molecule inhibitors. Herein we establish a novel biochemical kinase inhibitory function for click-chemistry-derived OTBN-1,2,3-triazole analogues and further report their anti-cancer activity in vitro for the first time.

STI/HIV testing, STIs, and HIV PrEP use among men who have sex with men (MSM) and men who have sex with men and women (MSMW) in United States, 2019-2022.

BACKGROUND: Routine sexually transmitted infection and human immunodeficiency virus (STI/HIV) testing and HIV pre-exposure prophylaxis (PrEP) use are recommended for men who have sex with men (MSM) at increased risk of HIV. METHODS: Using Healthverity, a large administrative dataset in the United States, we assessed STI/HIV testing, chlamydia and gonorrhea positivity by specimen type, and HIV PrEP use among MSM and men who have sex with men and women (MSMW) at their first visits (index date) for those at increased risk of HIV and STIs from 2019 through 2022. RESULTS: Among 81,716 MSM and MSMW aged 15-64 years at their index date visit, STI testing rates were 57.9% for chlamydia, 58.1% for gonorrhea, and 52.2% for syphilis testing, respectively; 55.5%, 30.9%, and 18.1% had HIV testing, HIV PrEP use, and PrEP initiation, respectively, among the patients who did not have HIV. Of patients with chlamydia and gonorrhea testing, 48% were tested from the genital site only and 25% from three anatomic sites (rectal, pharyngeal, and urogenital). Chlamydia and gonorrhea positivity was 9.8% for chlamydia rectal infection, 7.3% for gonorrhea rectal infection, and 5.3% for gonorrhea pharyngeal infection. CONCLUSION: Our results present current medical services provided during initial clinic visits for MSM and MSMW in private outpatient settings. Our study suggests that the assessment of STI/HIV testing is periodically needed due to the high prevalence of infection, and efforts to promote HIV PrEP for MSM and MSMW in private settings are urgently needed.

VISH-Pred: an ensemble of fine-tuned ESM models for protein toxicity prediction.

Peptide- and protein-based therapeutics are becoming a promising treatment regimen for myriad diseases. Toxicity of proteins is the primary hurdle for protein-based therapies. Thus, there is an urgent need for accurate in silico methods for determining toxic proteins to filter the pool of potential candidates. At the same time, it is imperative to precisely identify non-toxic proteins to expand the possibilities for protein-based biologics. To address this challenge, we proposed an ensemble framework, called VISH-Pred, comprising models built by fine-tuning ESM2 transformer models on a large, experimentally validated, curated dataset of protein and peptide toxicities. The primary steps in the VISH-Pred framework are to efficiently estimate protein toxicities taking just the protein sequence as input, employing an under sampling technique to handle the humongous class-imbalance in the data and learning representations from fine-tuned ESM2 protein language models which are then fed to machine learning techniques such as Lightgbm and XGBoost. The VISH-Pred framework is able to correctly identify both peptides/proteins with potential toxicity and non-toxic proteins, achieving a Matthews correlation coefficient of 0.737, 0.716 and 0.322 and F1-score of 0.759, 0.696 and 0.713 on three non-redundant blind tests, respectively, outperforming other methods by over $10\%$ on these quality metrics. Moreover, VISH-Pred achieved the best accuracy and area under receiver operating curve scores on these independent test sets, highlighting the robustness and generalization capability of the framework. By making VISH-Pred available as an easy-to-use web server, we expect it to serve as a valuable asset for future endeavors aimed at discerning the toxicity of peptides and enabling efficient protein-based therapeutics.

Sexually Transmitted Infection and HIV Testing and Diagnosis Among 15- to 44-Year-Old Patients With and Without Opioid Use Disorder.

BACKGROUND: The association between illicit opioid use and prescription opioid misuse and sexually transmitted infections (STIs) has not been examined recently. Our study aimed to explore differences in STI/HIV care, and delivery of recommended testing and diagnoses among patients with and without opioid use disorder (OUD). METHODS: Using 2019 MarketScan commercial claims data, we identified 15- to 44-year-old male and female patients, to assess the percentages of STI/HIV diagnoses (using International Classification of Diseases, Tenth Revision, Clinical Modification ) and screening (using Current Procedure Terminology codes) among patients with or without OUD diagnoses codes. We further assessed STI/HIV testing and diagnoses by demographic factors. RESULTS: We identified 24,724 patients with OUD codes among 7.31 million patients. Both STI/HIV testing and diagnoses were significantly ( P < 0.05) higher among patients with OUD codes versus without: testing percentages were 16.81% versus 12.93% for chlamydia, 22.31% versus 16.62% for gonorrhea, 15.26% versus 7.61% for syphilis, and 18.18% versus 7.60% for HIV; diagnoses were 0.80% versus 0.35% for chlamydia, 0.30% versus 0.11% for gonorrhea, 0.23% versus 0.07% for syphilis, and 0.74% versus 0.33% for HIV. Similarly, among 0.53 million 15- to 24-year-old females who received services suggestive of sexual activity, chlamydia testing was significantly ( P < 0.05) higher among patients with OUD codes versus without (59.78% vs. 55.66%). CONCLUSIONS: Patients with OUD codes have higher percentages of STI/HIV testing and diagnoses codes compared with those without OUD codes. Clinicians may want to consider a comprehensive multidisciplinary (OUD and STI prevention) approach in patient care and provide recommended STI/HIV screening among patients with OUD if not performed.

Novel Targets for the Development of Tuberculosis Vaccine.

In underdeveloped nations, tuberculosis (TB) continues to be a major source of morbidity and mortality. The currently available vaccine against tuberculosis in endemic areas is mainly ineffective, which triggers the need for a clinically effective vaccine against tuberculosis. In the present review, we emphasized the impact of genetic variations in the BCG strains, which influence the efficacy of BCG vaccines. We also discussed the current status of BCG vaccines and their potential mechanisms on the modulation of B cells and, thereby, humoral immunity, which trigger immune responses against various intracellular pathogens. Further, we also elaborated upon the pre-clinical and clinical studies demonstrating the efficacy and safety of the vaccines. Moreover, we also presented the putative novel targets such as polysaccharide-induced antibodies for the protection against Mtb, PGRS domain as an important target for Humoral immunity, HLA-E pathway-Target strategy for new TB vaccine, Coronin-1a - Novel player for Mycobacterial survival, IRGM, IFN-I3, an autophagy inducer with Irgm1 serving as a core part in the Tuberculosis vaccine development.

Panel stacking is a threat to consensus statement validity.

Consensus statements can be very influential in medicine and public health. Some of these statements use systematic evidence synthesis but others fail on this front. Many consensus statements use panels of experts to deduce perceived consensus through Delphi processes. We argue that stacking of panel members towards one particular position or narrative is a major threat, especially in absence of systematic evidence review. Stacking may involve financial conflicts of interest, but non-financial conflicts of strong advocacy can also cause major bias. Given their emerging importance, we describe here how such consensus statements may be misleading, by analysing in depth a recent high-impact Delphi consensus statement on COVID-19 recommendations as a case example. We demonstrate that many of the selected panel members and at least 35% of the core panel members had advocated towards COVID-19 elimination (zero-COVID) during the pandemic and were leading members of aggressive advocacy groups. These advocacy conflicts were not declared in the Delphi consensus publication, with rare exceptions. Therefore, we propose that consensus statements should always require rigorous evidence synthesis and maximal transparency on potential biases towards advocacy or lobbyist groups to be valid. While advocacy can have many important functions, its biased impact on consensus panels should be carefully avoided.

An update on the latest strategies in retinal drug delivery.

INTRODUCTION: Retinal drug delivery has witnessed significant advancements in recent years, mainly driven by the prevalence of retinal diseases and the need for more efficient and patient-friendly treatment strategies. AREAS COVERED: Advancements in nanotechnology have introduced novel drug delivery platforms to improve bioavailability and provide controlled/targeted delivery to specific retinal layers. This review highlights various treatment options for retinal diseases. Additionally, diverse strategies aimed at enhancing delivery of small molecules and antibodies to the posterior segment such as implants, polymeric nanoparticles, liposomes, niosomes, microneedles, iontophoresis and mixed micelles were emphasized. A comprehensive overview of the special technologies currently under clinical trials or already in the clinic was provided. EXPERT OPINION: Ideally, drug delivery system for treating retinal diseases should be less invasive in nature and exhibit sustained release up to several months. Though topical administration in the form of eye drops offers better patient compliance, its clinical utility is limited by nature of the drug. There is a wide range of delivery platforms available, however, it is not easy to modify any single platform to accommodate all types of drugs. Coordinated efforts between ophthalmologists and drug delivery scientists are necessary while developing therapeutic compounds, right from their inception.

Implications of Race Adjustment in Lung-Function Equations.

BACKGROUND: Adjustment for race is discouraged in lung-function testing, but the implications of adopting race-neutral equations have not been comprehensively quantified. METHODS: We obtained longitudinal data from 369,077 participants in the National Health and Nutrition Examination Survey, U.K. Biobank, the Multi-Ethnic Study of Atherosclerosis, and the Organ Procurement and Transplantation Network. Using these data, we compared the race-based 2012 Global Lung Function Initiative (GLI-2012) equations with race-neutral equations introduced in 2022 (GLI-Global). Evaluated outcomes included national projections of clinical, occupational, and financial reclassifications; individual lung-allocation scores for transplantation priority; and concordance statistics (C statistics) for clinical prediction tasks. RESULTS: Among the 249 million persons in the United States between 6 and 79 years of age who are able to produce high-quality spirometric results, the use of GLI-Global equations may reclassify ventilatory impairment for 12.5 million persons, medical impairment ratings for 8.16 million, occupational eligibility for 2.28 million, grading of chronic obstructive pulmonary disease for 2.05 million, and military disability compensation for 413,000. These potential changes differed according to race; for example, classifications of nonobstructive ventilatory impairment may change dramatically, increasing 141% (95% confidence interval [CI], 113 to 169) among Black persons and decreasing 69% (95% CI, 63 to 74) among White persons. Annual disability payments may increase by more than $1 billion among Black veterans and decrease by $0.5 billion among White veterans. GLI-2012 and GLI-Global equations had similar discriminative accuracy with regard to respiratory symptoms, health care utilization, new-onset disease, death from any cause, death related to respiratory disease, and death among persons on a transplant waiting list, with differences in C statistics ranging from -0.008 to 0.011. CONCLUSIONS: The use of race-based and race-neutral equations generated similarly accurate predictions of respiratory outcomes but assigned different disease classifications, occupational eligibility, and disability compensation for millions of persons, with effects diverging according to race. (Funded by the National Heart Lung and Blood Institute and the National Institute of Environmental Health Sciences.).

Hypofractionated radiotherapy for glioblastoma: A large institutional retrospective assessment of 2 approaches.

Background: Glioblastoma (GBM) poses therapeutic challenges due to its aggressive nature, particularly for patients with poor functional status and/or advanced disease. Hypofractionated radiotherapy (RT) regimens have demonstrated comparable disease outcomes for this population while allowing treatment to be completed more quickly. Here, we report our institutional outcomes of patients treated with 2 hypofractionated RT regimens: 40 Gy/15fx (3w-RT) and 50 Gy/20fx (4w-RT). Methods: A single-institution retrospective analysis was conducted of 127 GBM patients who underwent 3w-RT or 4w-RT. Patient characteristics, treatment regimens, and outcomes were analyzed. Univariate and multivariable Cox regression models were used to estimate progression-free survival (PFS) and overall survival (OS). The impact of chemotherapy and RT schedule was explored through subgroup analyses. Results: Median OS for the entire cohort was 7.7 months. There were no significant differences in PFS or OS between 3w-RT and 4w-RT groups overall. Receipt and timing of temozolomide (TMZ) emerged as the variable most strongly associated with survival, with patients receiving adjuvant-only or concurrent and adjuvant TMZ having significantly improved PFS and OS (P < .001). In a subgroup analysis of patients that did not receive TMZ, patients in the 4w-RT group demonstrated a trend toward improved OS as compared to the 3w-RT group (P = .12). Conclusions: This study demonstrates comparable survival outcomes between 3w-RT and 4w-RT regimens in GBM patients. Receipt and timing of TMZ were strongly associated with survival outcomes. The potential benefit of dose-escalated hypofractionation for patients not receiving chemotherapy warrants further investigation and emphasizes the importance of personalized treatment approaches.

Dose Optimization in Oncology Drug Development: An International Consortium for Innovation and Quality in Pharmaceutical Development White Paper.

The landscape of oncology drug development has witnessed remarkable advancements over the last few decades, significantly improving clinical outcomes and quality of life for patients with cancer. Project Optimus, introduced by the U.S. Food and Drug Administration, stands as a groundbreaking endeavor to reform dose selection of oncology drugs, presenting both opportunities and challenges for the field. To address complex dose optimization challenges, an Oncology Dose Optimization IQ Working Group was created to characterize current practices, provide recommendations for improvement, develop a clinical toolkit, and engage Health Authorities. Historically, dose selection for cytotoxic chemotherapeutics has focused on the maximum tolerated dose, a paradigm that is less relevant for targeted therapies and new treatment modalities. A survey conducted by this group gathered insights from member companies regarding industry practices in oncology dose optimization. Given oncology drug development is a complex effort with multidimensional optimization and high failure rates due to lack of clinically relevant efficacy, this Working Group advocates for a case-by-case approach to inform the timing, specific quantitative targets, and strategies for dose optimization, depending on factors such as disease characteristics, patient population, mechanism of action, including associated resistance mechanisms, and therapeutic index. This white paper highlights the evolving nature of oncology dose optimization, the impact of Project Optimus, and the need for a tailored and evidence-based approach to optimize oncology drug dosing regimens effectively.

Specification curve analysis to identify heterogeneity in risk factors for dementia: findings from the UK Biobank.

BACKGROUND: In 2020, the Lancet Commission identified 12 risk factors as priorities for prevention of dementia, and other studies identified APOE e4/e4 genotype and family history of Alzheimer's disease strongly associated with dementia outcomes; however, it is unclear how robust these relationships are across dementia subtypes and analytic scenarios. Specification curve analysis (SCA) is a new tool to probe how plausible analytical scenarios influence outcomes. METHODS: We evaluated the heterogeneity of odds ratios for 12 risk factors reported from the Lancet 2020 report and two additional strong associated non-modifiable factors (APOE e4/e4 genotype and family history of Alzheimer's disease) with dementia outcomes across 450,707 UK Biobank participants using SCA with 5357 specifications across dementia subtypes (outcomes) and analytic models (e.g., standard demographic covariates such as age or sex and/or 14 correlated risk factors). RESULTS: SCA revealed variable dementia risks by subtype and age, with associations for TBI and APOE e4/e4 robust to model specification; in contrast, diabetes showed fluctuating links with dementia subtypes. We found that unattributed dementia participants had similar risk factor profiles to participants with defined subtypes. CONCLUSIONS: We observed heterogeneity in the risk of dementia, and estimates of risk were influenced by the inclusion of a combination of other modifiable risk factors; non-modifiable demographic factors had a minimal role in analytic heterogeneity. Future studies should report multiple plausible analytic scenarios to test the robustness of their association. Considering these combinations of risk factors could be advantageous for the clinical development and evaluation of novel screening models for different types of dementia.

Reanalysis of genomic data in rare disease: current practice and attitudes among Australian clinical and laboratory genetics services.

Reanalyzing stored genomic data over time is highly effective in increasing diagnostic yield in rare disease. Automation holds the promise of delivering the benefits of reanalysis at scale. Our study aimed to understand current reanalysis practices among Australian clinical and laboratory genetics services and explore attitudes towards large-scale automated re-analysis. We collected audit data regarding testing and reanalysis volumes, policies and procedures from all Australian diagnostic laboratories providing rare disease genomic testing. A genetic health professionals' survey explored current practices, barriers to reanalysis, preferences and attitudes towards automation. Between 2018 and 2021, Australian diagnostic laboratories performed over 25,000 new genomic tests and 950 reanalyses, predominantly in response to clinician requests. Laboratory and clinical genetic health professionals (N = 134) identified workforce capacity as the principal barrier to reanalysis. No specific laboratory or clinical guidelines for genomic data reanalysis or policies were identified nationally. Perceptions of acceptability and feasibility of automating reanalysis were positive, with professionals emphasizing clinical and workflow benefits. In conclusion, there is a large and rapidly growing unmet need for reanalysis of existing genomic data. Beyond developing scalable automated reanalysis pipelines, leadership and policy are needed to successfully transform service delivery models and maximize clinical benefit.

Underlying Reasons for Primary Care Visits Where Chlamydia Testing Was Performed in the United States, 2019 to 2022.

BACKGROUND: In the United States, most chlamydia cases are reported from non-sexually transmitted disease clinics, and there is limited information focusing on the reasons for chlamydia testing in private settings. These analyses describe clinical visits to primary care providers where chlamydia testing was performed to help discern between screening and diagnostic testing for chlamydia. METHODS: Using the largest primary care clinical registry in the United States, the PRIME registry, chlamydia tests were identified using Current Procedural Terminology procedure codes and categorized as diagnostic testing for sexually transmitted infection (STI)-related symptoms, screening for chlamydia, or "other," based on Classification of Diseases, Tenth Revision Evaluation and Management codes selected for visits. RESULTS: Of 120,013 clinical visits with chlamydia testing between January 1, 2019, and December 31, 2022, 70.4% were women; 20.6% were with STI-related symptoms, 59.9% were for screening, and 19.5% for "other" reasons. Of those 120,013 clinical visits with chlamydia testing, the logit model showed that patients were significantly more likely to have STI-related symptoms if they were female than male, non-Hispanic Black than non-Hispanic White, aged 15 to 24 years than aged ≥45 years, and resided in the South than in the Northeast. CONCLUSION: It is important to know what proportion of chlamydial infections is identified through screening programs and to have this information stratified by demographics. The inclusion of laboratory results could further facilitate a better understanding of the impact of chlamydia screening programs on the identification and treatment of chlamydia in private office settings in the United States.

Environmental chemical-wide associations with immune biomarkers in US adults: A cross-sectional analysis.

Environmental chemical exposures influence immune system functions, and humans are exposed to a wide range of chemicals, termed the chemical "exposome". A comprehensive, discovery analysis of the associations of multiple chemical families with immune biomarkers is needed. In this study, we tested the associations between environmental chemical concentrations and immune biomarkers. We analyzed the United States cross-sectional National Health and Nutrition Examination Survey (NHANES, 1999-2018). Chemical biomarker concentrations were measured in blood or urine (196 chemicals, 17 chemical families). Immune biomarkers included counts of lymphocytes, neutrophils, monocytes, basophils, eosinophils, red blood cells, white blood cells, and mean corpuscular volume. We conducted separate survey-weighted, multivariable linear regressions of each log2-transformed chemical and immune measure, adjusted for relevant covariates. We accounted for multiple comparisons using a false discovery rate (FDR). Among 45,528 adult participants, the mean age was 45.7 years, 51.4% were female, and 69.3% were Non-Hispanic White. 71 (36.2%) chemicals were associated with at least one of the eight immune biomarkers. The most chemical associations (FDR<0.05) were observed with mean corpuscular volume (36 chemicals) and red blood cell counts (35 chemicals). For example, a doubling in the concentration of cotinine was associated with 0.16 fL (95% CI: 0.15, 0.17; FDR<0.001) increased mean corpuscular volume, and a doubling in the concentration of blood lead was associated with 61,736 increased red blood cells per µL (95% CI: 54,335, 69,138; FDR<0.001). A wide variety of chemicals, such as metals and smoking-related compounds, were highly associated with immune system biomarkers. This environmental chemical-wide association study identified chemicals from multiple families for further toxicological, immunologic, and epidemiological investigation.