Combined Analysis Research Articles

Combinatorial perturbation analysis of CD4+ T cell regulatory networks based on bifurcation theory

Exploring the dynamics of the CD4+ T regulatory network holds paramount significance in scientific research, as it deepens our understanding of the immune system’s intricacies and drives the development of innovative interventions for immune-related disorders. Despite the numerous studies conducted, further research is essential to elucidate the roles of exogenous cytokines in immune dynamics. This endeavor is of great importance in advancing targeted therapies and optimizing disease treatment regimens. Based on the bifurcation theory, we conduct a systematic perturbation analysis of the CD4+ T cell regulatory network. Initially, we treat exogenous cytokines as model parameters and conduct single-parameter bifurcation analysis to identify specific exogenous cytokines that can trigger various cell fate transitions. Additionally, based on relevant biological backgrounds, combinatorial perturbation analysis is performed to screen synergistic perturbation combinations. Three distinct types of synergistic combinations are successfully identified. The mechanisms by which different types of combinatorial perturbations exert their effects are also distinct. The individual and combinatorial perturbation analysis provides insights into how exogenous cytokines act synergistically and how these interactions influence the dynamics of CD4+ T cell networks.

Exploring the significance of MDM2 gene promoter variants in chronic myeloid leukemia.

Tyrosine kinase inhibitors (TKIs) targeting BCR::ABL1 are highly successful in chronic myeloid leukemia (CML). However, extensive interpatient variability in therapeutic responses and resistance supports the need to find new prognostic biomarkers. We have previously reported that TP53 SNP215 variant affects CML risk and clinical outcome. We aimed to evaluate the role of MDM2 genetic variants in CML susceptibility and treatment response to TKIs. We genotyped five MDM2 promoter variants (del1518, SNP309, SNP285, SNP288 and SNP344) in 135 CML patients and 136 healthy individuals. Our study showed that MDM2 variants alone or in combination had no effect on CML susceptibility. The analysis of MDM2 genotypes in relation to patients' clinical parameters revealed that individuals with SNP309 G/G genotypes were at a significantly increased risk of undergoing molecular response failure (p = 0.044). Improved overall survival was also observed for non-responders with the alternative MDM2 del1518 del allele (p = 0.017) as well as for MDM2 del1518-SNP309 combinations with alternative genotypes (p = 0.014). In addition, combinatorial analysis demonstrated that alternative MDM2 SNP309 and TP53 SNP215 genotypes together are associated with faster achievement of MR2 (p = 0.029) and MMR (p = 0.042) in non-responders, suggesting a relationship with a favorable outcome. Overall, our study highlights the influence of MDM2 variants on clinical outcome, supporting that specific genotypes, alone or in combination, underlie the treatment-responsive phenotype.

Association of killer immunoglobulin-like receptor genotypes and haplotypes with acute lymphoblastic leukemia risk.

Killer immunoglobulin-like receptors (KIRs) are key molecules used by natural killer (NK) cells to interact with target cells. These receptors exhibit extensive genotypic polymorphism which has been associated with varying outcomes in immune responses against diseases. This study aimed to investigate the relationships between KIR genotypes and haplotypes with acute lymphoblastic leukemia (ALL) in Saudi patients. A total of 259 Saudi subjects including 145 cases of acute lymphoblastic leukemia (ALL) and 114 healthy controls living in Riyadh were genotyped for 16 KIR genes and the two HLA-C1 and -C2 allotypes using PCR-SSP genotyping method. A significant high frequency of the two inhibitory KIR genes; 2DL1 (OR = 2.4; p < 0.0001) and 3DL1(OR = 10.87; p = 0.0068) in ALL compared to healthy group was observed. In contrast, the activating 2DS4 gene was significantly higher in healthy controls (OR = 0.15, p < 0.0001) compared to ALL patients. Haplotype analysis shows that BX haplogroup was strongly associated with the occurrence of ALL (OR = 4.39; p < 0.0001). Further combinatory analysis of KIR genes with their HLA-C1 and -C2 ligands demonstrated strong statistically protective effect of the 2DS1-C2 combination from ALL (OR = 0.06; p = 0.0003). This study presents strong evidence supporting the connection between certain KIR genotypes, haplotypes, and KIR-HLA combinations with acute ALL in the Saudi population. The heightened occurrence of inhibitory KIR genes (2DL1 and 3DL1) and the BX haplotype in ALL patients indicates a possible involvement of these genetic variability with the dysfunctional of NK cells in the context of ALL disease.

Mathematical Principles in Texas Hold'em Poker

Texas Hold'em is a skill and strategy game that combines elements of probability, combinatorics, and game theory. This paper explores the mathematical principles behind the game, with a focus on applying probability theory to decision-making and strategy development. Analyzing the win rates of various hand rankings, the expected value of different playstyles, and the impact of player behavior on game outcomes. By applying combinatorial analysis, we calculate the probability of hand strength and assess the strategic significance of bluffing and betting patterns. Additionally, we study game theory concepts such as Nash equilibrium and apply them to poker strategy. The most significant section is game theory. The insights gained from this mathematical approach provide a comprehensive understanding of optimal play and how mathematical rigor enhances decision-making in Texas Hold'em. This research can help us calculate the probability of our hand based on its strength, thereby improving our sensitivity to probability-based problems

Assessing and Managing Primary Hyperparathyroidism and Fracture Risk in England: A Survey of Medical Professionals.

To describe diagnostic approaches and management strategies for patients with primary hyperparathyroidism (PHPT) and recent fracture in England. We developed a survey based on a patient at high fracture risk and a new diagnosis of probable PHPT. The survey was circulated among 50 secondary care professionals identified by the Society for Endocrinology Calcium and Bone special interest group. Descriptive statistics, combinatorial, and thematic analyses were employed. In the patient with hyperparathyroidism and a recent fracture, 54% of respondents favoured a 24-hour urinary calcium: creatinine clearance ratio, with 85% opting to do so after correcting vitamin D levels. Thirty-two percent (16/50) preferred the spot urinary calcium:creatinine clearance ratio, as a random test (56%, n = 9/16). Ninety-six percent of the respondents agreed they would include a fracture risk assessment in their management plan. Eighty-five percent of the respondents selected dual-energy X-ray absorptiometry scans of the lumbar spine, total hip, and femoral neck as the most popular choice. Before initiating antiosteoporotic medications (AOMs), 94% of the respondents preferred correcting vitamin D levels with diverse regimens. IV zoledronate acid was the preferred AOM, and 58% (n = 29/50) supported cinacalcet usage if the patient was ineligible for parathyroid surgery, while 26% (n = 13/50) opposed cinacalcet use entirely. No significant correlation was found between status as an endocrinology consultant or working in a tertiary care hospital and these management preferences. This study of National Health Service medical staff identified highly-varied clinical practices in managing PHPT in the setting of high fracture risk, highlighting the need for pragmatic guidelines and wider education.

Modern Nonlinear Optimization Algorithms by Using Approximate Methods for Combinatorial Numerical Analysis

Large-scale optimization has become an important research theme in the evolutionary computing field. To take advantage of this progress, sophisticated algorithms have been merged in commercially inexpensive software, like python, to increase the aptitude of large data handling. In this paper, we propose an advanced algorithm, to compare Augmented and Penalty methods for resolving large-scale constrained problems of optimization. We highlight the advantages of an Augmented method in terms of faster convergence, better numerical stability and more robust performance while noting the behavior of Penalty Methods like parameter sensitivity issues, degraded performance near optimal and numerical instabilities. Using numerical experiments, our algorithm is quickly convergent and is more reliable.

Integrated multi-omics analysis reveals the underlying molecular mechanism for the neurotoxicity of triclosan in zebrafish.

Triclosan (TCS) is a primary broad-spectrum antibacterial agent commonly present in the environment. As a new type of environmental endocrine disruptor, it causes range of toxicities, including hepatotoxicity and reproductive toxicity. However, few research has examined the toxicity of long-term TCS-induced exposure in zebrafish at ambient concentrations, in contrast to the early life stage investigations. In the present study, we investigated the behavioral effects of TCS at environmental concentrations (300 μg/L) during constant exposure in zebrafish adults；An integrated transcriptomic and metabolomic analysis was performed to analyze the molecular mechanism underlying behavioral effects of TCS. Our results show that TCS exposure significantly induces behavioral disruptions such as anxiety-like behavior, memory problems, and altered social preferences. Histopathological investigations and neural ultrastructural observations demonstrated that TCS could induce variable levels of pyknosis and vacuolation in the cytoplasm of neurons as well as torn mitochondrial membranes, shrinkage and broken or absent cristae. Transcriptomics indicated that immune- and metabolism-related gene expression patterns were severely disturbed by TCS. Metabolomic analysis revealed 82 distinct metabolites in adult zebrafish exposed to TCS. Lipid metabolism, especially glycerophospholipid metabolism, and amino acid regulation pathways were co-enriched by multi-omics combinatorial analysis. Hence, this study highlights a number of biomarkers for the risk assessment of TCS against non-target organisms, offering a reference dataset for the behavioral toxicity of TCS to zebrafish, and strengthening the early warning, management, and control of TCS pollution.

Long time dynamics of the 𝑢^{𝑝} Klein-Gordon equation on general rectangular tori

We address two interesting questions in the theory of the u p u^p Klein-Gordon equation defined on the general rectangular tori. First, we show the existence and uniqueness of solutions using an explicit combinatorial analysis under the exponential decay assumption in the Fourier space. The second question is the long time behavior of such a solution. In a weakly nonlinear setting, we can prove that the nonlinear solution is asymptotic to the linear solution.

Combined analysis of cross-population healthy adult human microbiome reveals consistent differences in gut microbial characteristics between Western and non-Western countries

Despite extensive research on the gut microbiome of healthy individuals from a single country, there are still a limited number of population-level comparative studies. Moreover, the sequencing approach used in most related studies involves 16S ribosomal RNA (rRNA) sequencing with a limited resolution, which cannot provide detailed functional profiles. In the present study, we applied a combined analysis approach to analyze whole metagenomic shotgun sequencing data from 2035 healthy adult samples from six countries across four continents. Analysis of core species revealed that 13 species were present in more than 90% of all investigated individuals, the majority of which produced short-chain fatty acids (SCFA)-producing bacteria. Our analysis revealed consistently significant differences in gut microbial species and pathways between Western and non-Western countries, such as Escherichia coli and the relation of MetaCyc pathways to the TCA cycle. Specific changes in microbial species and pathways are potentially related to lifestyle and diet. Furthermore, we identified several noteworthy microbial species and pathways that exhibit distinct characteristics specific to China. Interestingly, we observed that China (CHN) was more similar to the United States (USA) and United Kingdom (GBR) in terms of the taxonomic and functional composition of the gut microbiome than India (IND) and Madagascar (MDG), which were more similar to the China (CHN) diet. The current study identified consistent microbial features associated with population and geography, which will inspire further clinical translations that consider paying attention to differences in microbiota backgrounds and confounding factors.

CancerPro: deciphering the pan-cancer prognostic landscape through combinatorial enrichment analysis and knowledge network insights.

Gene expression levels serve as valuable markers for assessing prognosis in cancer patients. To understand the mechanisms underlying prognosis and explore potential therapeutics across diverse cancers, we developed CancerPro (https:/medcode.link/cancerpro). This knowledge network platform integrates comprehensive biomedical data on genes, drugs, diseases and pathways, along with their interactions. By integrating ontology and knowledge graph technologies, CancerPro offers a user-friendly interface for analyzing pan-cancer prognostic markers and exploring genes or drugs of interest. CancerPro implements three core functions: gene set enrichment analysis based on multiple annotations; in-depth drug analysis; and in-depth gene list analysis. Using CancerPro, we categorized genes and cancers into distinct groups and utilized network analysis to identify key biological pathways associated with unfavorable prognostic genes. The platform further pinpoints potential drug targets and explores potential links between prognostic markers and patient characteristics such as glutathione levels and obesity. For renal and prostate cancer, CancerPro identified risk genes linked to immune deficiency pathways and alternative splicing abnormalities. This research highlights CancerPro's potential as a valuable tool for researchers to explore pan-cancer prognostic markers and uncover novel therapeutic avenues.Itsflexible tools support a wide range of biological investigations, making it a versatile asset in cancer research and beyond.

Chromatin remodelling in damaged intestinal crypts orchestrates redundant TGFβ and Hippo signalling to drive regeneration.

Cell state dynamics underlying successful tissue regeneration are undercharacterized. In the intestine, damage prompts epithelial reprogramming into revival stem cells (revSCs) that reconstitute Lgr5+ intestinal stem cells (ISCs). Here single-nuclear multi-omics of mouse crypts regenerating from irradiation shows revSC chromatin accessibility overlaps with ISCs and differentiated lineages. While revSC genes themselves are accessible throughout homeostatic epithelia, damage-induced remodelling of chromatin in the crypt converges on Hippo and the transforming growth factor-beta (TGFβ) signalling pathway, which we show is transiently activated and directly induces functional revSCs. Combinatorial gene expression analysis further suggests multiple sources of revSCs, and we demonstrate TGFβ can reprogramme enterocytes, goblet and paneth cells into revSCs and show individual revSCs form organoids. Despite this, loss of TGFβ signalling yields mild regenerative defects, whereas interference in both Hippo and TGFβ leads to profound defects and death. Intestinal regeneration is thus poised for activation by a compensatory system of crypt-localized, transient morphogen cues that support epithelial reprogramming and robust intestinal repair.

Soluble Urokinase-Type Plasminogen Activator Receptor and Inflammatory Biomarker Response with Prognostic Significance after Acute Neuronal Injury - a Prospective Cohort Study.

Aneurysmal subarachnoid hemorrhage (aSAH), ischemic stroke (IS), and traumatic brain injury (TBI) are severe conditions impacting individuals and society. Identifying reliable prognostic biomarkers for predicting survival or recovery remains a challenge. Soluble urokinase type plasminogen activator receptor (suPAR) has gained attention as a potential prognostic biomarker in acute sepsis. This study evaluates suPAR and related neuroinflammatory biomarkers in serum for brain injury prognosis. This prospective study included 31 aSAH, 30 IS, 13 TBI, and three healthy controls (n = 77). Serum samples were collected on average 5.9days post-injury, analyzing suPAR, IL-1β, cyclophilin A, and TNFα levels using ELISA. Outcomes were assessed 90days post-injury with the modified Rankin Scale (mRS), categorized as favorable (mRS 0-2) or unfavorable (mRS 3-6). Statistical analyses included 2-tailed t-tests, Pearson's correlations, and machine learning linear discriminant analysis (LDA) for biomarker combinations. Elevated suPAR levels were found in brain injury patients compared to controls (p = 0.017). Increased suPAR correlated with unfavorable outcomes (p = 0.0018) and showed prognostic value (AUC = 0.66, p = 0.03). IL-1β levels were higher in the unfavorable group (p = 0.0015). LDA combinatory analysis resulted a fair prognostic accuracy with canonical equation = 0.775[suPAR] + 0.667[IL1-β] (AUC = 0.77, OR 0.296, sensitivity 93.1%, specificity 53.1%, p = 0.0007). No correlation was found between suPAR and CRP or infection status. Elevated suPAR levels in acute brain injury patients were associated with poorer outcomes, highlighting suPAR's potential as a prognostic biomarker across different brain injury types. Combining IL-1β with suPAR improved prognostic accuracy, supporting a multimodal biomarker approach for predicting outcomes.

EPCO-01. FROM HIERARCHY TO GEOGRAPHY: MULTI-CLONES DRIVE THE CELLULAR DIVERSITY AND EVOLUTION OF HUMAN MEDULLOBLASTOMA

Abstract We’ve curated a comprehensive multi-omics database of medulloblastoma (MB) serving as a resource to understand spatiotemporal organization and guide therapeutic strategies. Herein, our analysis encompasses single-nucleus transcriptome (n = 51), chromatin accessibility (n = 46), and spatial transcriptomic profiles (n = 31) from human MB samples and patient-derived xenograft lines spanning four subgroups, augmented by bulk RNA (n = 322), whole-genome short-sequencing (n = 279), and bisulfite sequencing (n = 300) from matched samples. We delineate the malignant cellular hierarchy, identifying MB cancer stem-like cells (MB-CSCs), cycling cells, and more differentiated populations. Gene signatures of different cell subpopulations strongly correlate to clinical outcomes, while spatial character of patient-derived materials emphasizes the geographically heterogeneous nature of MB. Examination of somatic copy number variants (CNVs) and transcriptional signatures at single-nucleus resolution reveals geographically defined subclones harboring distinct CNVs, suggesting a competitive agglomeration of co-existing multi-clones for MB. Alongside the trajectorial transition, we observe distinct chromosomal alterations in apical MB-CSCs compared to more differentiated cells, indicative of extensive subclone-primed spatiotemporal evolution. Further analysis of reagent-gene interactions of subclonal lineages contributes to predicting the druggable candidates for treatment optimization. Integration of spatial architecture data highlights the recapitulation of subclone-determined niches through colocation with identified malignant lineages and their own inflammatory or fibrotic adaptions. Taken together, this comprehensive database, comprising five or six kinds of datatypes on the same MB cases, facilitates combinatorial analyses across different genomic modalities, offering genetic and geographic insights into therapeutic advancements.

The loss of both pUL16 and pUL21 in HSV-1 infected cells abolishes cytoplasmic envelopment.

Previously, we had developed synthetic genomics methods to assemble an infectious clone of herpes simplex virus type-1 (HSV-1). To do this, the genome was assembled from 11 separate cloned fragments in yeast using transformation associated recombination. The eleven fragments or "parts" spanned the 152 kb genome and recombination was achieved because of the overlapping homologous sequences between each fragment. To demonstrate the robustness of this genome assembly method for reverse genetics, we engineered different mutations that were located in distant loci on the genome and built a collection of HSV-1 genomes that contained single and different combination of mutations in 5 conserved HSV-1 genes. The five genes: UL7, UL11, UL16, UL21 and UL51 encode virion structural proteins and have varied functions in the infected cell. Each is dispensable for virus replication in cell culture, however, combinatorial analysis of deletions in the five genes revealed "synthetic-lethality" of some of the genetic mutations. Thus, it was discovered that any virus that carried a UL21 mutation in addition to the other gene was unable to replicate in Vero cells. Replication was restored in a complementing cell line that provided pUL21 in trans. One particular combination (UL16-UL21) was of interest because the proteins encoded by these genes are known to physically interact and are constituents of the tegument structure. Furthermore, their roles in HSV-1 infected cells are unclear. Both are dispensable for HSV-1 replication, however, in HSV-2 their mutation results in nuclear retention of assembled capsids. We thus characterized these viruses that carry the single and double mutant. What we discovered is that in cells where both pUL16 and pUL21 are absent, cytoplasmic capsids were evident but did not mature into enveloped particles. The capsid particles isolated from these cells showed significantly lower levels of incorporation of both VP16 and pUL37 when compared to the wild-type capsids. These data now show that of the tegument proteins, like the essential pUL36, pUL37 and VP16; the complex of pUL16 and pUL21 should be considered as important mediators of cytoplasmic maturation of the particle.

Aging and Pathological Conditions Similarity Revealed by Meta-Analysis of Metabolomics Studies Suggests the Existence of the Health and Age-Related Metapathway.

Background: The incidence of many diseases increases with age and leads to multimorbidity, characterized by the presence of multiple diseases in old age. This phenomenon is closely related to systemic metabolic changes; the most suitable way to study it is through metabolomics. The use of accumulated metabolomic data to characterize this phenomenon at the system level may provide additional insight into the nature and strength of aging-disease relationships. Methods: For this purpose, metabolic changes associated with human aging and metabolic alterations under different pathological conditions were compared. To do this, the published results of metabolomic studies on human aging were compared with data on metabolite alterations collected in the human metabolome database through metabolite set enrichment analysis (MSEA) and combinatorial analysis. Results: It was found that human aging and pathological conditions involve the set of the same metabolic pathways with a probability of 99.96%. These data show the high identity of the aging process and the development of diseases at the metabolic level and allow to identify the set of metabolic pathways reflecting age-related changes closely associated with health. Based on these pathways, a metapathway was compiled, changes in which are simultaneously associated with health and age. Conclusions: The knowledge about the strength of the convergence of aging and pathological conditions has been supplemented by the rigor evidence at the metabolome level, which also made it possible to outline the age and health-relevant place in the human metabolism.

Fragmented perspective of self-organized criticality and disorder in log gravity

We use a statistical model to discuss nonequilibrium fragmentation phenomena taking place in the stochastic dynamics of the log sector in log gravity. From the canonical Gibbs model, a combinatorial analysis reveals an important aspect of the n-particle evolution previously shown to generate a collection of random partitions according to the Ewens distribution realized in a disconnected double Hurwitz number in genus zero. By treating each possible partition as a member of an ensemble of fragmentations, and ensemble averaging over all partitions with the Hurwitz number as a special case of the Gibbs distribution, a resulting distribution of cluster sizes appears to fall as a power of the size of the cluster. Dynamical systems that exhibit a distribution of sizes giving rise to a scale-invariant power-law behavior at a critical point possess an important property called self-organized criticality. As a corollary, the log sector of log gravity is a self-organized critical system at the critical point μl = 1. A similarity between self-organized critical systems, spin glass models and the dynamics of the log sector which exhibits aging behavior reminiscent of glassy systems is pointed out by means of the Pòlya distribution, also known to classify various models of (randomly fragmented) disordered systems, and by presenting the cluster distribution in the log sector of log gravity as a distinguished member of this probability distribution. We bring arguments from a probabilistic perspective to discuss the disorder in log gravity, largely anticipated through the conjectured AdS3/LCFT2 correspondence.

GENERALIZED PASCAL’S PYRAMIDS AND COMBINATORIAL INFORMATION RETRIEVAL PROBLEMS

The work studies combinatorial objects of pyramidal structure. It proposes fundamental relations for generalizations of Pascal’s triangle and pyramid. It considers problems of finding new ways of constructing information relevance indices and offers a way of constructing such an index with the help of Pascal’s generalized pyramids. Using structures of a type of Pascal’s generalized pyramids with weight factors allow construction of an index that reflects a degree of relevance of keywords, as well as makes it possible to allocate subsets of keywords with specific properties. The offered methods of the combinatorial analysis of hierarchical structures in information retrieval problems can be used in creating and analyzing knowledge databases.

Supersolvable posets and fiber-type abelian arrangements

We present a combinatorial analysis of fiber bundles of generalized configuration spaces on connected abelian Lie groups. These bundles are akin to those of Fadell–Neuwirth for configuration spaces, and their existence is detected by a combinatorial property of an associated finite partially ordered set. This is consistent with Terao’s fibration theorem connecting bundles of hyperplane arrangements to Stanley’s lattice supersolvability. We obtain a combinatorially determined class of K(π,1)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$K(\\pi ,1)$$\\end{document} toric and elliptic arrangements. Under a stronger combinatorial condition, we prove a factorization of the Poincaré polynomial when the Lie group is noncompact. In the case of toric arrangements, this provides an analogue of Falk–Randell’s formula relating the Poincaré polynomial to the lower central series of the fundamental group.

Valved Microwell Array Platforms for Stepwise Liquid Dispensing.

The fabrication of microarray chips and the precise dispensing of nanoliter to microliter liquids are fundamental for high-throughput parallel biochemical testing. Conventional microwells, typically featuring a uniform cross section, fill completely in a single operation, complicating the introduction of multiple reagents for stepwise and combinatorial analyses. To overcome this limitation, we developed an innovative valved microwell array. Using ultraviolet (UV)-curing resin three-dimensional (3D) printing, these multilayer configurations can be rapidly fabricated through direct template printing and polydimethylsiloxane (PDMS) casting. Each microwell incorporates a microvalve structure, truncating fluids within the upper metering well and allowing transfer to the bottom reservoir well under centrifugal force. Sequential operations enable the introduction of multiple reagents, facilitating orthogonal combinations for complex assays. We explored four types of valving methods: DeepWell, Expansion, Bottleneck, and Membrane valve, each offering varying degrees of design complexity, operational efficiency, robustness, and precision. These methods constitute a versatile toolkit to accommodate a broad spectrum of analytical requirements. Our innovative approach redefines microwell architecture, direct manufacturing techniques, and stepwise fluid dispensation in microarrays.

Sexual somatic dimorphism in connection with ecological factors

Introduction. Analysis of correlations of sexual somatic dimorphism (SD) with the degree of urbanization (quantity of population) and geographic latitude of the residence place is carried out using the material of monitoring of Russian children and adolescents. Material and methods. The study embraces the wide specter of ethno-territorial samples of children and adolescents from Russia and neighboring countries (literary data), examined through the historic interval 1930-2010 years. To estimate the direction and degree of associations of anthropometric traits (height, weight, chest girth) and ecological factors the classic correlation analysis for pairwise combinations of variables was implemented for age groups of 9-year-old children and 13-year-old adolescents. The quantitative estimation of SD was carried out using Kullback divergence, the analogue of Makhalanobis distance. Results. Significant correlations of SD of height with both ecological factors for 13-year-old adolescents and SD of weight for 9-year-old children with the quantity of population were fixed on base of the whole data massive. The more homogeneous data base (only Slavonic groups examined in 1960s-1970s) shows significant correlations of latitude with SD of height for 13-year-old adolescents only in combination with the quantity of population of the residence place up to 500 thousands of people; and latitude with SD of weight for 9-year-old children only for million-plus cities. Significant correlations of quantity of population were fixed for SD of height of 13-year-old adolescents in more southern ranges of latitude (37-50degrees), for SD of weight for 9-year-old children in more northern ranges of latitude (50 degrees and more). Conclusion. The study shows complex superposition of ecological factors, which influence somatic variability of children through growth process. High degree of urbanization conceal anthropoecological correlations SD-latitude for ecosensitive age 13 years, but reveal them for “neutral” age, 9 years, with the opposite vector. The most southern range of latitudes (about 40 degrees) reveal positive associations of SD with the degree of urbanization for 13-year-olds, which are not fixed in more northern latitudes. More frequent anthropoecological correlations of SD of height, as genetic marker, of 13-year-olds, and SD of weight as the marker of nutrition status and life style of 9-year-olds reflect the physiological essence of age periods - increase of intersex differences for adolescents and decrease of intersex differences for second childhood children